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Antecedents and Consequents of Food Waste Reduction: Do Religious Commitment and Awareness of Consequences Moderate Atteeq ur Rahman & Niu Xiongying

Editor

Antecedents and Consequents of Food Waste Reduction: Do Religious Commitment and Awareness of Consequences Moderate

Author (s)

Atteeq ur Rahman & Niu Xiongying

Abstract

­

This study empirically test the applicability of theory of planned behavior with additional variables of concern for food waste, religious commitment and awareness of consequences towards consumers food waste reduction intentions and afterward leftover foods’ reuse and donate behavior. A sample of 533 respondents were selected mainly from Punjab Pakistan. Data for this study is collected from young Pakistani household consumers. The study employed structure equation modeling (SEM) to test the hypothesized model. The results of the study showed that moral norms, subjective norms, perceived behavioral control and food waste concerns may restricts consumers to avoid food wastage and promote waste reduction intentions. Furthermore the constructs of religious commitment and awareness of consequences by creating their moderating affect further strengthen this relationships. The results of the study establish that there is need to include favorable perception about benefits, cost, threat and risk associated with food waste in educational programs and advertising strategies. The inclusion of favorable perceptions becomes more effective specifically in case of socially proscribed behaviors that is food waste behaviors.

 Keywords: Theory of planned behavior, Concern for food waste, Religious commitment, Awareness of consequences, Food reuse, Food donate.

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Title: Antecedents and Consequents of Food Waste Reduction: Do Religious Commitment and Awareness of Consequences Moderate
Author: Atteeq ur Rahman & Niu Xiongying
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4567415
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 20/02/2021
Date of Publication: 26/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/715.pdf
Free download: Available
Page: 207-220
First Page: 207
Last Page: 220
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Atteeq ur Rahman & Niu Xiongying (2021). Antecedents and Consequents of Food Waste Reduction: Do Religious Commitment and Awareness of Consequences Moderate. International Journal of Science and Business, 5(4), 207-220. doi: https://doi.org/ 10.5281/zenodo.4567415

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About Author (s)

Atteeq ur Rahman (corresponding author), Business school, University of International Business and Economics, Chaoyang District, Beijing, P.R. China 100029. Email: atteequrrahman@gmail.com

Niu Xiongying, Business school, University of International Business and Economics, Chaoyang District, Beijing, P.R. China 100029.

 

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DOI: https://doi.org/10.5281/zenodo.4567415

Total Download of This Article : 4
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The Moderating Effect of Institutional Environment on Oilseed Export Competitiveness in Sub-Saharan African Countries Destaw M. Mazengia & Xia Youfu

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The Moderating Effect of Institutional Environment on Oilseed Export Competitiveness in Sub-Saharan African Countries

Author (s)

Destaw M. Mazengia & Xia Youfu

Abstract

­

Oilseeds contribute a significant amount to Sub-Saharan African countries’ agricultural products, produced for oil and protein, next to cereals and pulses. The region has a comparative advantage of producing and exporting different types of oilseeds, to serve the increasing demand worldwide. However, these countries experience very low performance in the international market. As a result, it becomes an important area of concern and intervention for the policymakers in these respective countries. There have been various researches done to explore the basic causes of export inefficiencies. Some of the study findings have been complementing, while others are contrasting and many of the researches do not acknowledge the internal and external factors that determine the region’s agricultural commodities export competitiveness. Considering relevant panel data in the years 1995 to 2017 and applying the fixed-effect model, the study examines the moderating effect of the institutional environment on the link between factor and demand conditions and the export competitiveness of oilseeds. The result prevails as productivity and export quantity have a significant effect on export competitiveness and the institutional environment significantly moderates their relationship. The study contributes to both theory (competitive advantage, institutional-based view theory) and practice (oilseed industry leaders and policymakers).

 Keywords: Oilseed industry, export competitiveness, institutional environment, Sub-Saharan African Countries.

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Title: The Moderating Effect of Institutional Environment on Oilseed Export Competitiveness in Sub-Saharan African Countries
Author: Destaw M. Mazengia & Xia Youfu
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4565105
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 09/02/2021
Date of Publication: 26/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/714.pdf
Free download: Available
Page: 189-206
First Page: 189
Last Page: 206
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Destaw M. Mazengia & Xia Youfu (2021). The Moderating Effect of Institutional Environment on Oilseed Export Competitiveness in Sub-Saharan African Countries. International Journal of Science and Business, 5(4), 189-206. doi: https://doi.org/ 10.5281/zenodo.4565105

Retrieved from https://ijsab.com/wp-content/uploads/714.pdf

 

About Author (s)

Destaw M. Mazengia (corresponding author), Business school, University of International Business and Economics, Chaoyang District, Beijing, P.R. China 100029. Email: enatdendes@gmail.com, DE201765008@uibe.edu.cn

Xia Youfu, International trade and industrial economics, University of International Business and Economics, Chaoyang District, Beijing, P.R. China 100029. Email: youfuxia@china.com.

 

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DOI: https://doi.org/10.5281/zenodo.4565105

Total Download of This Article : 13
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Impact of Job autonomy on Customer orientation: Mediating role of Affective commitment Hasan Farid & Xiongying Niu

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Impact of Job autonomy on Customer orientation: Mediating role of Affective commitment

Author (s)

Hasan Farid & Xiongying Niu

Abstract

­

This study aims at exploring the effects of work method autonomy (WMA), decision-making autonomy (DMA), and work scheduling autonomy (WSA) on customer orientation through employees’ affective commitment based on self-determination theory. The data was collected from full time front-line service workers in hospitality industry of China by employing cross-sectional design of study. The results show that three types of autonomy (WMA, DMA, WSA) are positively related with affective commitment and affective commitment has a positive effect on employees’ customer-oriented behavior. The results also postulate that affective commitment mediates the relationship between types of autonomy (WMA, DMA, WSA) and employees’ customer-oriented behavior. The study suggests that hospitality managers should shape such an environment in which they can provide employees with autonomy in choosing methods, schedules and making decisions so that they can experience affective commitment and get motivate to exhibit customer-oriented behaviors.

 Keywords: Work method autonomy, decision-making autonomy, work scheduling autonomy, affective commitment, customer orientation.

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Title: Impact of Job autonomy on Customer orientation: Mediating role of Affective commitment
Author: Hasan Farid & Xiongying Niu
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4561761
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 15/02/2021
Date of Publication: 25/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/713.pdf
Free download: Available
Page: 180-188
First Page: 180
Last Page: 188
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Hasan Farid & Niu Xiongying (2021). Impact of Job autonomy on Customer orientation: Mediating role of Affective commitment. International Journal of Science and Business, 5(4), 180-188. doi: https://doi.org/ 10.5281/zenodo.4561761

Retrieved from https://ijsab.com/wp-content/uploads/713.pdf

 

About Author (s)

Hasan Farid (corresponding author), Business school, University of International Business and Economics, Chaoyang District, Beijing 100029, P.R. China. Email: hassaanfarid3@gmail.com

Xiongying Niu, Business school, University of International Business and Economics, Chaoyang District, Beijing 100029, P.R. China.

 

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DOI: https://doi.org/10.5281/zenodo.4561761

Total Download of This Article : 5
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Understanding the determinants of Restaurant Switching intentions: The Utilization of Push-Pull-Mooring framework Waqas Manzoor Dar & Niu Xiongying

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Understanding the determinants of Restaurant Switching intentions: The Utilization of Push-Pull-Mooring framework

Author (s)

Waqas Manzoor Dar & Niu Xiongying

Abstract

­

This study empirically investigates the applicability of the push-pull-mooring (PPM) framework on restaurant switching intentions. The employed framework is the theoretical extension of the current PPM Model, which is uncommon in the literature. The antecedents of this research are push variables (satiation with food, satiation with service, satiation with atmosphere); pull (post dining regret, alternative attractiveness); the moderating variables are mooring (self-control, place attachment, OSL). The study uses Chinese restaurants market, which is highly competitive and diverse in terms product offerings and quality customer services in complex environment. The study employed variance based Structural Equation modeling with Partial Least Square estimators. The results show that push, pull and mooring variables have positive significant impact on restaurant switching intentions. It is also evident with statistical analysis that pull factors more favorably contributed as compared to push factors. The findings also reflect that mooring variable significantly moderates between push factors and restaurant switching intentions and pull factors and restaurant switching intentions. The findings are robust to the policy implications.

 Keywords: Switching intention, Satiation, Post dining regret, Self-control, Optimal Stimulation Level (OSL), Place attachment, Alternative attractiveness.

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Title: Understanding the determinants of Restaurant Switching intentions: The Utilization of Push-Pull-Mooring framework
Author: Waqas Manzoor Dar & Niu Xiongying
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4561725
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 15/02/2021
Date of Publication: 25/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/712.pdf
Free download: Available
Page: 166-179
First Page: 166
Last Page: 179
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Waqas Manzoor Dar & Niu Xiongying (2021). Understanding the determinants of Restaurant Switching intentions: The Utilization of Push-Pull-Mooring framework. International Journal of Science and Business, 5(4), 166-179. doi: https://doi.org/ 10.5281/zenodo.4561725

Retrieved from https://ijsab.com/wp-content/uploads/712.pdf

 

About Author (s)

Waqas Manzoor Dar (corresponding author), Business School, University of International Business and Economics, Beijing, 100029, P.R. China & University of Gujrat, Pakistan. Email: waqas.manzoor@uog.edu.pk

Niu Xiongying, Business School, University of International Business and Economics, Beijing, 100029, P.R. China.

 

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DOI: https://doi.org/10.5281/zenodo.4561725

Total Download of This Article : 5
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Exploring challenges affecting the growth of women entrepreneurs in the micro- finance sector in Harare, Zimbabwe Josphat Nyoni, Patricia Matore, Martin Dandira & Kandjinga Elias

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Exploring challenges affecting the growth of women entrepreneurs in the micro- finance sector in Harare, Zimbabwe

Author (s)

Josphat Nyoni, Patricia Matore, Martin Dandira & Kandjinga Elias

Abstract

­

The purpose of the study was to explore challenges affecting the growth of women entrepreneurs in the micro finance sector. This was necessitated by the importance of growth of women entrepreneurs to economic development of countries.  An exploration research design was adopted for this study. Data was collected using a structured questionnaire and interviews from 200 female entrepreneurs in the micro finance sector in Harare. The results showed that the social factors such as too many family responsibilities, segregation in terms of accessing capital resources and gender stereo typing were negatively affecting the growth and success of women owned micro-finance institutions. The study noted that business environment factors such as hyperinflation, weak currency, low demand for loans due to poverty, and unemployment and unpredictable policies were negatively affecting the growth of women owned micro finance institutions. The study also noted that regulations from the Central Bank on the operations, registration and licensing of micro-finance had not significantly affected the growth of women owned micro-finance institutions in Harare. The main limitations of the study are that the findings may not be generalized to all female owned entrepreneurs in Zimbabwe because the sample was drawn from Harare so they may be a need to make use of a larger sample. The findings of this study are of value to the operations and successful growth of women owned financial sector, Reserve Bank of Zimbabwe, the government of Zimbabwe and the women in general. Identification of the challenges will shape and inform all future intervention policies and programs to support the growth of women owned micro-finance sector in Zimbabwe. In addition, the growth of women entrepreneurs will reduce poverty among women, promote economic empowerment and lead to gender equality. The findings of this study are based on the data collected from women who own and operate micro-finance institution in Harare and hence the challenges identified are original and true. This implies that addressing the challenges identified in this study will lead to growth and success of women owned micro-finance institutions.

 Keywords: Female entrepreneurs, growth of women entrepreneurs, Microfinance, economic empowerment , Zimbabwe.

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Title: Exploring challenges affecting the growth of women entrepreneurs in the micro- finance sector in Harare, Zimbabwe
Author: Josphat Nyoni, Patricia Matore, Martin Dandira & Kandjinga Elias
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4561669
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 30/01/2021
Date of Publication: 25/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/711.pdf
Free download: Available
Page: 158-165
First Page: 158
Last Page: 165
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Josphat Nyoni, Patricia Matore, Martin Dandira & Kandjinga Elias (2021). Exploring challenges affecting the growth of women entrepreneurs in the micro- finance sector in Harare, Zimbabwe. International Journal of Science and Business, 5(4), 158-165. doi: https://doi.org/10.5281/zenodo.4561669

Retrieved from https://ijsab.com/wp-content/uploads/711.pdf

 

About Author (s)

Josphat Nyoni (corresponding author), Women’s University in Africa, Harare, Zimbabwe. Email: jnyoni664@gmail.com

Patricia Matore, Women’s University in Africa, Harare, Zimbabwe.

Martin Dandira, Namibia University of Science and Technology, Namibia.

Kandjinga Elias, Namibia University of Science and Technology, Namibia.

 

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DOI: https://doi.org/10.5281/zenodo.4561669

Total Download of This Article : 5
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Literature review on Drivers of Chinese Outward Foreign Direct Investment Valmor Comim Junior

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Literature review on Drivers of Chinese Outward Foreign Direct Investment

Author (s)

Valmor Comim Junior

Abstract

­

The world has witnessed the rise of multinational corporations from emerging markets as well as the narrow gap of growth between developed and underdeveloped economies. Considering this, Chinese companies are looking for investment opportunities in different countries. The purpose of this review study is to find out the reasons, why Chinese companies wish to invest other country. During this review study, we aimed thoroughly investigate FDI. We found key motivations for Chinese firm to go abroad investment. We explored a variety of economic, political, social and external factors that influenced the organization to go global.

 Keywords: China Outward foreign direct investment (OFDI), drivers of OFDI, economic development.

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Title: Literature review on Drivers of Chinese Outward Foreign Direct Investment
Author: Valmor Comim Junior
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4560045
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 09/02/2021
Date of Publication: 24/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/710.pdf
Free download: Available
Page: 143-157
First Page: 143
Last Page: 157
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Comim Junior, V. (2021). Literature review on Drivers of Chinese Outward Foreign Direct Investment. International Journal of Science and Business, 5(4), 143-157. doi: https://doi.org/10.5281/zenodo.4560045

Retrieved from https://ijsab.com/wp-content/uploads/710.pdf

 

About Author (s)

Valmor Comim Junior, University of International Business and Economics, Beijing, China. Email: valmor.comim@asibras.com

 

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DOI: https://doi.org/10.5281/zenodo.4560045

Total Download of This Article : 8
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The impact of the technology on the food industrial production: a case study of Brazil Valmor Comim Junior, Sibele Recco Rosso Comim & Sadia Hussain Vehniwal

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The impact of the technology on the food industrial production: a case study of Brazil

Author (s)

Valmor Comim Junior, Sibele Recco Rosso Comim & Sadia Hussain Vehniwal

Abstract

­

The object of this study is to analysis the effect of technology on the food industrial production: A case study of Brazil. The Brazilian food and beverage industry has great social and economic importance to the nation and technology represents a key factor for competitiveness in the sector. Learning about the past and recent technological dynamics of this industry enables the identification of trends and perspectives that enhance its competitiveness. The range of data use for estimation is from 1980 to 2018. The analysis is based on econometric techniques. First of all this study applied The ADF (Augmented Dickey Fuller 1979) test to verify the stationary values of the variables, Johnson co-integration technique to check the long run relationship among the variables, VECM to check the significant values of the variables. This study concluded that the technology has positive effect on the food industrial production. . The new technology within the sector has been integrated rather than created. Enterprise investment in R&D is still low and the sector’s technology strategy is mostly imitative. However, this period presented positive effect of technological efforts, with the primary goal of increasing productive efficiency and effectiveness This study suggests that the government to subsidies the food industries that it can easily get approach to technology and revises food export restriction policy.

 Keywords: technology, food industrial production, econometric techniques, VECM.

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Title: The impact of the technology on the food industrial production: a case study of Brazil
Author: Valmor Comim Junior, Sibele Recco Rosso Comim & Sadia Hussain Vehniwal
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4560000
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 09/02/2021
Date of Publication: 24/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/709.pdf
Free download: Available
Page: 123-142
First Page: 123
Last Page: 142
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Comim Junior, V.,  Comim, S. R. R. & Vehniwal, S. H. (2021). The impact of the technology on the food industrial production: a case study of Brazil. International Journal of Science and Business, 5(4), 123-142. doi: https://doi.org/10.5281/zenodo.4560000

Retrieved from https://ijsab.com/wp-content/uploads/709.pdf

 

About Author (s)

Valmor Comim Junior (Corresponding Author), University of International Business and Economics, Beijing, China. Email: valmor.comim@asibras.com

Sibele Recco Rosso Comim, University of International Business and Economics, Beijing, China.

Sadia Hussain Vehniwal, Bahauddin Zakariya University Vehari campus, Pakistan.

 

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DOI: https://doi.org/10.5281/zenodo.4560000

Total Download of This Article : 7
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Impact of Deep Learning on Transfer Learning : A Review Mohammed Jameel Barwary & Adnan Mohsin Abdulazeez

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Impact of Deep Learning on Transfer Learning : A Review

Author (s)

Mohammed Jameel Barwary & Adnan Mohsin Abdulazeez

 

Abstract

­

Transfer learning and deep learning approaches have been utilised in several real-world applications and hierarchical systems for pattern recognition and classification tasks. However, in few of the real-world machine learning situations, this presumption does not sustain since there are instances where training data is costly or tough to gather and there is continually a necessity to produce high-performance learners competent with more easily attained data from diverse fields. The objective of this review is to determine more abstract qualities at the greater levels of the representation, by utilising deep learning to detach the variables in the outcomes, formally outline transfer learning, provide information on present solutions, and appraise applications employed in diverse facets of transfer learning and deep learning. This can be attained by rigorous literature exploration and discussion on all presently accessible techniques and prospective research studies on transfer learning solutions of independent as well as big data scale. The conclusions of this study could be an effectual platform directed at prospective directions for devising new deep learning patterns for different applications and dealing with the challenges concerned.

 Keywords: Machine Learning, Transfer Learning, Deep Learning, classifications, Supervised Learning techniques.

 

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Title: Impact of Deep Learning on Transfer Learning : A Review
Author: Mohammed Jameel Barwary & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4559668
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 6/02/2021
Date of Publication: 24/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/698.pdf
Free download: Available
Page: 204-216
First Page: 204
Last Page: 216
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Barwary, M. J. & Abdulazeez, A. M. (2021). Impact of Deep Learning on Transfer Learning : A Review. International Journal of Science and Business, 5(3), 204-216. doi: https://doi.org/ 10.5281/zenodo.4559668

Retrieved from https://ijsab.com/wp-content/uploads/698.pdf

 

About Author (s)

Mohammed Jameel Barwary (corresponding author), Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. Email: mohammed.jameel@uod.ac

Professor Adnan Mohsin Abdulazeez, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.4559668

Total Download of This Article : 6
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Mediating Role of Innovation Capacity in the Relationship between Corporate governance and Firm Performance: evidence from Chinese listed firms Tolossa Fufa Gulema & Zhou Xiaoyan

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Mediating Role of Innovation Capacity in the Relationship between Corporate governance and Firm Performance: evidence from Chinese listed firms

Author (s)

Tolossa Fufa Gulema & Zhou Xiaoyan

Abstract

­

This study examined the potential mediating role of innovation capacity of firm measured by innovation investment in between the relationships of corporate governance and firm performance. The study used panel data of 11,634 samples of Chinese listed firms covering from 2010-2018. We operationalized corporate governance into board independence, dual leadership, concentrated ownership, debt finance, and product market competition.  The study found to support the mediation role of innovation investment in between most corporate governance mechanisms and firm performance measured by Tobin’s Q. Specifically, we found that innovation investment has been fully mediated the relationship between concentrated ownership structure and firm performance, Similarly, corporate governance measured by debt financing, and product market competition were partially mediated by innovation investment in Chinese listed firms. The study makes an important contribution to corporate governance practice in emerging economies policymakers and managers by providing comprehensive empirical evidence on how corporate governance practices are related to firm performance through innovation activities. Firms in emerging countries should maintain high ownership concentration, improve the debt financing system and encourage product market competition to improve firm performance through innovation activities.

 Keywords: Corporate governance, Innovation capacity, Firm performance, emerging market.

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Title: Mediating Role of Innovation Capacity in the Relationship between Corporate governance and Firm Performance: evidence from Chinese listed firms
Author: Tolossa Fufa Gulema & Zhou Xiaoyan
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4548144
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 09/02/2021
Date of Publication: 18/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/708.pdf
Free download: Available
Page: 105-122
First Page: 105
Last Page: 122
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Tolossa Fufa Gulema & Zhou Xiaoyan (2021). Mediating Role of Innovation Capacity in the Relationship between Corporate governance and Firm Performance: evidence from Chinese listed firms. International Journal of Science and Business, 5(4), 105-122. doi: https://doi.org/ 10.5281/zenodo.4548144

Retrieved from https://ijsab.com/wp-content/uploads/708.pdf

 

About Author (s)

Tolossa Fufa Gulema(corresponding author), PhD  Scholar,  School  of  Business,  University  of  International  Business  and  Economics,  Beijing,  100029,  China. Email: gulma19@yahoo.com

Zhou Xiaoyan, School  of  Business,  University  of  International  Business  and  Economics,  Beijing,  100029,  China.

 

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DOI: https://doi.org/10.5281/zenodo.4548144

Total Download of This Article : 11
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Feature selection technique applied in Medical application by Supervised algorithm: A Review Basna Mohammed Salih Hasan & Nawzat Sadiq Ahmed

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Feature selection technique applied in Medical application by Supervised algorithm: A Review

Author (s)

Basna Mohammed Salih Hasan & Nawzat Sadiq Ahmed

Abstract

­Feature selection is a strategy for preprocessing that determines the main features of a specific problem. Traditionally, it has been employed across a variety of topics, including biological data analysis, finance, and intrusion detection systems. In addition to minimizing dimensionality, FS was successfully used in medical systems, which often enable one to consider the causes of the disease. In this paper, a review started to describe some basic concepts related to medical applications and provide some necessary background information on feature selection and reviewed more than ten articles of the FS in the medical field that have been introduced and published in the last years.

 Keywords: Supervised Algorithm, Dimensionality Reduction, Features Selection, Medical Imaging.

 

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Title: Feature selection technique applied in Medical application by Supervised algorithm: A Review
Author: Basna Mohammed Salih Hasan & Nawzat Sadiq Ahmed
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4543647
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 5/02/2021
Date of Publication: 16/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/697.pdf
Free download: Available
Page: 190-203
First Page: 190
Last Page: 203
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Hasan, B. M. S. & Ahmed, N. S. (2021). Feature selection technique applied in medical application by supervised algorithm: A Review. International Journal of Science and Business, 5(3), 190-203. doi: https://doi.org/10.5281/zenodo.4543647

Retrieved from https://ijsab.com/wp-content/uploads/697.pdf

 

About Author (s)

Basna Mohammed Salih Hasan (corresponding author), Technical College of Informatics Akre, Duhok Polytechnic University, IT Department, Duhok, Kurdistan Region, Iraq. Email: basna.mhmed@dpu.edu.krd

Dr. Nawzat Sadiq Ahmed, Department of Information Technology Management, Technical College of Administration, Duhok University, Kurdistan Region, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.4543647

Total Download of This Article : 16
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Reinforcement Learning and Modeling Techniques: A Review Hindreen Rashid Abdulqadir & Adnan Mohsin Abdulazeez

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Reinforcement Learning and Modeling Techniques: A Review

Author (s)

Hindreen Rashid Abdulqadir & Adnan Mohsin Abdulazeez

Abstract

­

The Reinforcement learning (RL) algorithms solve a wide range of problems we faced. The topic of RL has achieved a new, complete standard of public opinion. High difficulty in large-scale real-world implementations is the effective use of large data sets previously obtained in augmented learning algorithms. Q-learning (QL), by learning a conservative Q function that allows a policy to be below the predicted value of the Q function, is introduced by us, which aims to circumvent these restrictions. We revealed technical reinforcement learning in this study. In principle, we demonstrate that QL creates a lower relation to current policy importance and that this can be correlated with guarantees of political learning theoretical change. In reality, QL strengthens the benchmark objective with a simple, standardized Q value which, in addition to existing Q-learning and essential applications, is quickly applied. The findings indicate that all algorithms are needed to learn how to play successfully. In comparison, all dual Q-learning variables have a significantly higher score compared with Q-learning, and the incremental reward function shows no improved effects than the normal reward function. We present an attack mechanism that uses the portability of competing tests to execute policy incentives and to prove their usefulness and consequences by means of a pilot study of a play learning scenario.

 Keywords: Machine learning, Reinforcement learning, Modelling – Technique, Q- learning.

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Title: Reinforcement Learning and Modeling Techniques: A Review
Author: Hindreen Rashid Abdulqadir & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4542638
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 11/02/2021
Date of Publication: 16/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/696.pdf
Free download: Available
Page: 174-189
First Page: 174
Last Page: 189
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Abdulqadir, H. R. & Abdulazeez, A. M. (2021). Reinforcement Learning and Modeling Techniques: A Review. International Journal of Science and Business, 5(3), 174-189. doi: https://doi.org/10.5281/zenodo.4542638

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About Author (s)

Hindreen Rashid Abdulqadir  (corresponding author),   Information Technology Department,  Akre Technical College of Informatics, Duhok Polytechnic University, Duhok Kurdistan Region, Iraq. Email: Hindreen.rashid@dpu.edu.krd

Professor Adnan Mohsin Abdulazeez, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: adnan.mohsin@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4542638

Total Download of This Article : 6
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Diversifying or Focused Acquisition? The Influence of CEOs Temporal Focus on Corporate Acquisition Target Choice and the Moderating Role of Corporate Governance Nuru M. Ahmed & Jianfeng Wu

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Diversifying or Focused Acquisition? The Influence of CEOs Temporal Focus on Corporate Acquisition Target Choice and the Moderating Role of Corporate Governance

Author (s)

Nuru M. Ahmed & Jianfeng Wu

Abstract

­

Why an acquiring firm chooses a target over others is a question yet not investigated well. Using a multi-dimensional temporal focus framework and upper echelon theory, we proposed that a firm’s choice for diversifying or focused acquisition is predicted by the CEO’s temporal focus. Furthermore, this link is contingent on corporate governance (compensation). The result from the analysis of 302 M&A deals from semiconductor and pharmaceutical industries revealed that CEOs with high future/present focus are more likely to make a diversifying acquisition than focus acquisition, while present-focused CEOs are more likely to make a focused acquisition over diversifying takeover. With a high stock option, future-focused CEOs will be more eager to make diversifying acquisitions, while past-focused CEOs’ likelihood of making a focused acquisition is reduced. Also, with high stock ownership, the interest of future and present-focused CEOs for diversifying takeover will reduce, while CEOs with high past focus will more tend to make a focused acquisition.

 Keywords: CEO temporal focus, Acquisition target choice, Upper echelon theory, CEOs compensation, Diversifying acquisition, Focused acquisition.

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Title: Diversifying or Focused Acquisition? The Influence of CEOs Temporal Focus on Corporate Acquisition Target Choice and the Moderating Role of Corporate Governance
Author: Nuru M. Ahmed & Jianfeng Wu
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4540014
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 09/02/2021
Date of Publication: 13/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/707.pdf
Free download: Available
Page: 80-104
First Page: 80
Last Page: 104
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Ahmed, N. M. & Wu, J. (2021). Diversifying or Focused Acquisition? The Influence of CEOs Temporal Focus on Corporate Acquisition Target Choice and the Moderating Role of Corporate Governance. International Journal of Science and Business, 5(4), 80-104. doi: https://doi.org/10.5281/zenodo.4540014

Retrieved from https://ijsab.com/wp-content/uploads/707.pdf

 

About Author (s)

Nuru M. Ahmed (corresponding author), Business school, University of International Business and Economics, Chaoyang District, Beijing, P.R. China 100029. Email: DE201765018@uibe.edu.cn

Jianfeng Wu, Business school, University of International Business and Economics, Chaoyang District, Beijing, P.R. China 100029.

 

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DOI: https://doi.org/10.5281/zenodo.4540014

Total Download of This Article : 15
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A Review of most Recent Lung Cancer Detection Techniques using Machine Learning Dakhaz Mustafa Abdullah & Nawzat Sadiq Ahmed

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A Review of most Recent Lung Cancer Detection Techniques using Machine Learning

Author (s)

Dakhaz Mustafa Abdullah & Nawzat Sadiq Ahmed

Abstract

­

Lung cancer is a sort of dangerous cancer and difficult to detect. It usually causes death for both gender men & women therefore, so it is more necessary for care to immediately & correctly examine nodules. Accordingly, several techniques have been implemented to detect lung cancer in the early stages. In this paper a comparative analysis of different techniques based on machine learning for detection lung cancer have been presented. There have been too many methods developed in recent years to diagnose lung cancer, most of them utilizing CT scan images and some of them using x-ray images. In addition, multiple classifier methods are paired with numerous segmentation algorithms to use image recognition to identify lung cancer nodules. From this study it has been found that CT scan images are more suitable to have the accurate results. Therefore, mostly CT scan images are used for detection of cancer. Also, marker-controlled watershed segmentation provides more accurate results than other segmentation techniques. In Addition, the results that obtained from the methods based deep learning techniques achieved higher accuracy than the methods that have been implemented using classical machine learning techniques.

 Keywords: Lung Cancer Detection, Machine Learning, Deep Learning, SCLC, and NSCLC.

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Title: A Review of most Recent Lung Cancer Detection Techniques using Machine Learning
Author: Dakhaz Mustafa Abdullah & Nawzat Sadiq Ahmed
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4536818
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 06/02/2021
Date of Publication: 12/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/695.pdf
Free download: Available
Page: 159-173
First Page: 159
Last Page: 173
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Abdullah, D. M. & Ahmed, N. S. (2021). A Review of most Recent Lung Cancer Detection Techniques using Machine Learning. International Journal of Science and Business, 5(3), 159-173. doi: https://doi.org/10.5281/zenodo.4536818

Retrieved from https://ijsab.com/wp-content/uploads/695.pdf

 

About Author (s)

Dakhaz Mustafa Abdullah (corresponding author), Information Technology, Technical College of Informatics, Akre Information Technology Management, Duhok Polytechnic University, Iraq. Email: dakhaz.abdullah@dpu.edu.kud

Nawzat Sadiq Ahmed, Information Technology Management, Technical College of Administration, DPU, Iraq.  Email: nawzat.ahmed@dpu.edu.krd 

 

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DOI: https://doi.org/10.5281/zenodo.4536818

Total Download of This Article : 38
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Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review Mohammed J. Sadeeq & Subhi R. M. Zeebaree

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Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review

Author (s)

Mohammed J. Sadeeq & Subhi R. M. Zeebaree

Abstract

­The billions of databases, worldwide, provide an increasing amount of information to the people. As a result, the researchers have to seek knowledge about the resources, which were generically known as the search engines. One such search technique that is popularly used is the semantic search technique which improves the search accuracy by determining the purpose of the search along with the contextual meaning of the terms which appeared in the data space or the web for generating accurate results. Many search engines exist today, which makes it difficult to collect useful data. In this paper, many types of research depended which prepared to describe the Semantic Search and Semantic Web techniques. Various types of semantic search engines are investigated and the differences between the Semantic Search and Semantic Search keywords are determined. Additionally, the benefits of using Semantic Search were highlighted. The literature review and the findings of the case study helped in understanding the new constructs. These researches also determined the relationship between the new and the previously existing constructs based on their perspective regarding the extension of Bedny’s activity theory with regards to the SEO promotion techniques. They added the functional consequences of extending Bedny’s activity theory faced by the promotion managers. The researchers have summarised the history of semantic search and its global position in search engine generation. The researchers also highlighted the role played by the search engines in the semantic search and smart web technologies.

 Keywords: Semantic Search Engines, Semantic Web, Intelligent Search, Dynamic Websites.

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Title: Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review
Author: Mohammed J. Sadeeq & Subhi R. M. Zeebaree
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4536804
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 09/02/2021
Date of Publication: 12/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/694.pdf
Free download: Available
Page: 148-158
First Page: 148
Last Page: 158
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Sadeeq, M. J. & Zeebare, S. R. M. (2021). Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review.  International Journal of Science and Business, 5(3), 148-158. doi: https://doi.org/10.5281/zenodo.4536804

Retrieved from https://ijsab.com/wp-content/uploads/694.pdf

 

About Author (s)

Mohammed J. Sadeeq, Information Technology Department, Duhok Polytechnic University,  Duhok – Kurdistan Region, Iraq. Email: mohammed.jameel@uod.ac.

Subhi R. M. Zeebaree, (Corresponding author) Information Technology Department, Duhok Polytechnic University, Duhok – Kurdistan Region, Iraq. Emailil: subhi.rafeeq@dpu.edu.krd.

 

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DOI: https://doi.org/10.5281/zenodo.4536804

Total Download of This Article : 11
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The Effects of Competence and Motivation on Audit Quality with Ethical Orientation as a Moderating Variable Jeivi Brenda Andolo & David A. A. Pesudo

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The Effects of Competence and Motivation on Audit Quality with Ethical Orientation as a Moderating Variable

Author (s)

Jeivi Brenda Andolo & David A. A. Pesudo

Abstract

­

This current period of audit internal government require to be more competence, clear, responsibility, and other with the aim to provide good service on public sector. And also Internal auditor of BPKP must uphold the ethical standard in running their duties and responsibilities. Thereafter, the purpose of this research is to examine the effects of competence and motivation on audit quality with ethical orientation as a moderating variable in BPKP (Badan Pengawasan Keuangan dan Pembangunan), North Sulawesi. The analysis technique is used descriptive analysis, classic assumption tests and hypothesis test, and with total respondent of questionaries’ are 65 auditors of BPKP and the data analysis technique was multiple linear regression analysis.  Hence, the result of this study found that the competence and motivation has significant positive effect on audit quality, the competence with ethical orientation as a moderating variable has a significant positive effect on audit quality, and the motivation with ethical orientation as a moderating variable has significant positive effect on audit quality.

 Keywords: Competence, Motivation, Audit Quality, Ethical Orientation.

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Title: The Effects of Competence and Motivation on Audit Quality with Ethical Orientation as a Moderating Variable
Author: Jeivi Brenda Andolo & David A. A. Pesudo
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4561784
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 04/02/2021
Date of Publication: 11/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/706.pdf
Free download: Available
Page: 59-79
First Page: 59
Last Page: 79
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Jeivi Brenda Andolo & David A. A. Pesudo (2021). The Effects of Competence and Motivation on Audit Quality with Ethical Orientation as a Moderating Variable. International Journal of Science and Business, 5(4), 59-79. doi: https://doi.org/10.5281/zenodo.4561784

Retrieved from https://ijsab.com/wp-content/uploads/706.pdf

 

About Author (s)

Jeivi Brenda Andolo (corresponding author), Student of Economics and Business Faculty, Universitas Kristen Satya Wacana (UKSW), Salatiga, Central Java, Indonesia.      Email: 2320175@student.uksw.edu

David A. A. Pesudo, Lecture of Economics and Business Faculty, Universitas Kristen Satya Wacana (UKSW) , Salatiga, Central Java, Indonesia.

 

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DOI: https://doi.org/10.5281/zenodo.4561784

Total Download of This Article : 23
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Fog Computing Analysis Based on Internet of Thing: A Review Hindreen Rashid Abdulqadir & Nawzat Sadiq Ahmed

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Fog Computing Analysis Based on Internet of Thing: A Review

Author (s)

Hindreen Rashid Abdulqadir & Nawzat Sadiq Ahmed

Abstract

­Cloud machine architectures face many drawbacks due to the improved autonomous and distributed IoT configuration. The IoT is closer to the cloud infrastructure. The fog offers IoT data care and storage locally on IoT devices rather than in the cloud. The fog provides quicker responses and better performance in relation to the cloud. The best alternative for IoT to provide powerful and effective resources for many IoT customers may therefore be called Fog Computing. This paper aims at fog computing’s state-of-the-art and alignment with IoT in detailing the advantages and challenges of implementation. This study will concentrate also on the conception of cloud and fog technology and the application of the cloud and fog paradigm to improve modern IoT technologies. Finally, open issues and alternative research directions are discussed on fog estimation and IoT.

 Keywords: Internet of Things (IoT) , Big data ,  Analyses, Fog Computing , Cloud computing.

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Title: Fog Computing Analysis Based on Internet of Thing: A Review
Author: Hindreen Rashid Abdulqadir & Nawzat Sadiq Ahmed
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4534437
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 06/02/2021
Date of Publication: 11/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/693.pdf
Free download: Available
Page: 137-147
First Page: 137
Last Page: 147
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Abdulqadir, H. R. & Ahmed, N. S. (2021). Fog computing Analysis Based on Internet of Thing: A Review. International Journal of Science and Business, 5(3), 137-147. doi: https://doi.org/10.5281/zenodo.4534437

 

About Author (s)

Hindreen Rashid Abdulqadir  (corresponding author),   Information Technology Department,  Akre Technical College of Informatics, Duhok Polytechnic University, Duhok Kurdistan Region, Iraq. Email: Hindreen.rashid@dpu.edu.krd

Nawzat Sadiq Ahmed, Information Technology Management Department, Technical College of Administration, Duhok Polytechnic University,Duhok, Kurdistan Region, Iraq. Email: nawzat.ahmed@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4534437

Total Download of This Article : 10
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Does Foreign Aid Influence Corruption? New Evidence in East Africa Community Member Countries Suleiman Malik Faki & Fuzhong Chen

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Does Foreign Aid Influence Corruption? New Evidence in East Africa Community Member Countries

Author (s)

Suleiman Malik Faki & Fuzhong Chen

Abstract

­

The key objective in this paper is to examine the foreign aid impact on corruption in East Africa Community Member countries. The paper employed Pooled Ordinary Least Square (Pooled OLS), Random Effect (RE) and Fixed Effect (FE) approach to find out the external aid effects on corruption. The study used panel data covering from the year from 1996 to 2017 for 5 EAC member nations. The study findings revealed that foreign aid flow has reduced impact on the level of corruption in EAC nations. Based on the findings which found that aid flows reduce the level of corruption in EAC member countries, it is suggested that cooperation between donor countries should be strengthen when allocate aid and through attaching conditions among other things which help to improve governance and institutional framework. In addition, the allocation of aid to the poor countries should be based on selective approach in such way that major conditions for a nation to meet the requirements for aid should be institutional quality reforms.

 Keywords: Aid, Corruption, Governance, Development, Developing countries.

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Title: Does Foreign Aid Influence Corruption? New Evidence in East Africa Community Member Countries
Author: Suleiman Malik Faki & Fuzhong Chen
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4534355
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 09/02/2021
Date of Publication: 11/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/705.pdf
Free download: Available
Page: 46-58
First Page: 46
Last Page: 58
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Suleiman Malik Faki & Fuzhong Chen (2021). Does Foreign Aid Influence Corruption? New Evidence in East Africa Community Member Countries. International Journal of Science and Business, 5(4), 46-58. doi: https://doi.org/10.5281/zenodo.4534355

Retrieved from https://ijsab.com/wp-content/uploads/705.pdf

 

 

About Author (s)

Suleiman Malik Faki (corresponding author), School of International Trade and Economics, University of International Business and Economics, China.

Prof. Fuzhong Chen, School of International Trade and Economics, University of International Business and Economics, China.

 

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DOI: https://doi.org/10.5281/zenodo.4534355

Total Download of This Article : 13
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Abusive Supervision and Employees OCB: An Important Role of Psychological Contract Fulfilment and Trust in Leadership Maha El halouat & Shimin Liu

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Abusive Supervision and Employees OCB: An Important Role of Psychological Contract Fulfilment and Trust in Leadership

Author (s)

Maha El halouat & Shimin Liu

Abstract

­

Contemporary organizations need a workforce who can work more enthusiastically to compete in the market. This study synthesizes leadership paradigms for the purpose of exploring possible ways of influencing organizational citizenship behaviors to increase the functioning of organizations. Further, we test for the underlying mechanisms, psychological contract fulfilment between leadership style and employees organizational citizenship behaviors. In addition, we examined for the moderating role of trust in leader between leadership style and organizational citizenship behaviors. Collecting data from 436 employees from the agriculture sector organizations in Morocco, we found that abusive leadership has a negative relationships with organizational citizenship behaviors. Using SPSS and AMOS as a statistical tools, our findings further confirms the mediating roles of psychological contract fulfilment between the relationship of abusive supervision and employees organizational citizenship behaviors. Furthermore, the results of the current study also suggests an important role of trust in leader as a boundary specificity of the relationship between abusive supervision and organizational citizenship behaviors. At the end, this research presents several important implications, which truly enrich our understanding regarding abusive supervision and employees organizational citizenship behaviors.

 Keywords: Abusive supervision, psychological contract fulfilment, trust in leader, social  exchange theory, organization citizenship behaviours.

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Title: Abusive Supervision and Employees OCB: An Important Role of Psychological Contract Fulfilment and Trust in Leadership
Author: Maha El halouat & Shimin Liu
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4522563
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 06/02/2021
Date of Publication: 09/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/704.pdf
Free download: Available
Page: 30-45
First Page: 30
Last Page: 45
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Maha El halouat & Shimin Liu (2021). Abusive Supervision and Employees OCB: An Important Role of Psychological Contract Fulfilment and Trust in Leadership. International Journal of Science and Business, 5(4), 30-45. doi: https://doi.org/10.5281/zenodo.4522563

Retrieved from https://ijsab.com/wp-content/uploads/704.pdf

 

About Author (s)

Maha El halouat (corresponding author), Business School, University of International Business & Economics, Beijing, China. Email: Maha_elhalouat@hotmail.com

Dr. Shimin Liu, Business School, University of International Business & Economics, Beijing, China.

 

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DOI: https://doi.org/10.5281/zenodo.4522563

Total Download of This Article : 9
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State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications Ibrahim Shamal Abdulkhaleq, Subhi R. M. Zeebaree

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State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications

Author (s)

Ibrahim Shamal Abdulkhaleq, Subhi R. M. Zeebaree

Abstract

­

The technological development has been experiencing rapid growth in the recent years. Individuals need access to required data and information more readily than ever before. To consider this need, the resource development and management are prioritized by the digital world entrepreneurs. In order to provide quick access to the individuals and provide necessary support are fundamentally important for the users. In the present aspects of the digital world, the concept of distributed database, grid system, and cloud systems have completely replaced the need for independent databases. Because of the increasing need and requirements of the computer power and capacity, digital world has been adopting different strategic concerns in order to promote and interconnect dispersedly reserved databases. The concept of distributed database provides the solution for the growing need for addressing the vital aspects of the data management and provision of the access to the required data. This article analyses the concept of database management system, considering relevant review of literature, systematic analysis, investigating the rules for distributed database management system DDBMS, finding appropriate architecture for the DDBMS solutions and providing justified recommendations based on the users’ need and perception.

 Keywords: Distributed Database, Homogeneous Database, Database Securit, DDBMS,  System architecture for DBBMS.

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Title: State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications
Author: Ibrahim Shamal Abdulkhaleq, Subhi R. M. Zeebaree
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4518872
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 06/02/2021
Date of Publication: 08/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/692.pdf
Free download: Available
Page: 126-136
First Page: 126
Last Page: 136
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Abdulkhaleq, I. S. and Zeebaree, S. R. M. (2021). State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications. International Journal of Science and Business, 5(3), 126-136. doi: https://doi.org/10.5281/zenodo.4518872

Retrieved from https://ijsab.com/wp-content/uploads/692.pdf

 

About Author (s)

Ibrahim Shamal Abdulkhaleq (corresponding author), Information System Engineering Dept.,  Erbil polytechnic University, KRG-Iraq. ibrahim.abdulkhalik@gmail.com

Subhi R. M. Zeebaree Duhok Polytechnic University, KRG-Iraq. subhi.rafeeq@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4518872

Total Download of This Article : 12
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Understanding Motivations Underlying Consumers’ Social Media Usage: Implications for Digital Marketing Executives Idris Bhuiya Akil & Nguyen Thi Hong

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Understanding Motivations Underlying Consumers’ Social Media Usage: Implications for Digital Marketing Executives

Author (s)

Idris Bhuiya Akil & Nguyen Thi Hong

Abstract

­

The aim of this conceptual paper is to analyze and evaluate the important impetuses for consumers to use social media platforms. The study has made use of a conceptual model for elucidating the motivations for social media usage and what implications they have for contemporary businesses as they plan for the social media marketing strategies. An attempt has been made to come up with an effective platform where contemporary businesses would be able to design digital marketing strategies for taking advantage of social media as well as the unique ability offered by social media of generating one on one consumer relationship, targeting and engagement. For this purpose, 4C’s model (Connecting, Creating, Consuming, and Controlling) has been employed in order to put forward six major propositions pertaining to the different aspects in which motivations of consumers are driving them towards accomplishing their social media goals. Moreover, contemporary business scenarios have been utilized for validating all propositions. Further, these precise propositions intend to provide tools and insights for social media marketing managers of contemporary businesses as they evolve in and figure out the specific strategies to connect with their potential as well as existing consumers.

 Keywords: Social media usage, social media marketing, digital marketing executives, consumer empowerment, consumer behaviour, contemporary businesses.

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Title: Understanding Motivations Underlying Consumers’ Social Media Usage: Implications for Digital Marketing Executives
Author: Idris Bhuiya Akil & Nguyen Thi Hong
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4501241
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 01/02/2021
Date of Publication: 06/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/703.pdf
Free download: Available
Page: 20-29
First Page: 20
Last Page: 29
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Idris Bhuiya Akil & Nguyen Thi Hong (2021). Understanding Motivations Underlying Consumers’ Social Media Usage: Implications for Digital Marketing Executives. International Journal of Science and Business, 5(4), 20-29. doi: https://doi.org/10.5281/zenodo.4501241

Retrieved from https://ijsab.com/wp-content/uploads/703.pdf

 

About Author (s)

Idris Bhuiya Akil (corresponding author), School of Statistics, Zhejiang Gongshang University, Hangzhou, China. Email: idrisbhuiya1@mail.com

Nguyen Thi Hong, School of Economics, Zhejiang Gongshang University, Hangzhou, China. Email: hongthui@mail.ru

 

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DOI: https://doi.org/10.5281/zenodo.4501241

Total Download of This Article : 7
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Resistant Blockchain Cryptography to Quantum Computing Attacks Zhwan Mohammed Khalid & Shavan Askar

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Resistant Blockchain Cryptography to Quantum Computing Attacks

Author (s)

Zhwan Mohammed Khalid & Shavan Askar

Abstract

­

Due to the need to maintain confidentiality, redundancy, and openness, the usage of Blockchain and other DLTs has dramatically advanced in recent years, and is being recommended for various applications. In blockchain, these capabilities are supplied by means of hash functions and public-key encryption. However, the rapid development of quantum computation in the near future has opened the door to the Grover and Shor algorithms. These algorithms challenge both public and hash encryption, causing blockchains to redesign and use quantum attack-tolerant cryptosystems; this produces cryptosystems which are considered post-quantum cryptosystems, which are quantum-resistant. This paper reviews current scientists on quantum blockchain for such purposes. In addition, the major challenges are studied with the most important post-quantum blockchain systems. In addition, the most promising post quantum signature encryption and digital blockchain signature schemes are detailed in terms of the functionality and durability of the most promising public signatures. In this article, researchers and developers in blockchain have an extensive perspective and practical advice on post-quantum blockchain protection.

 Keywords: Blockchain, cryptography, post-quantum, quantum-resistant, quantum computing, blockchain security.

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Title: Resistant Blockchain Cryptography to Quantum Computing Attacks
Author: Zhwan Mohammed Khalid & Shavan Askar
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4497732
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 01/02/2021
Date of Publication: 03/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/691.pdf
Free download: Available
Page: 116-125
First Page: 116
Last Page: 125
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Zhwan Mohammed Khalid & Shavan Askar (2021). Resistant Blockchain Cryptography to Quantum Computing Attacks. International Journal of Science and Business, 5(3), 116-125. doi: https://doi.org/10.5281/zenodo.4497732

Retrieved from https://ijsab.com/wp-content/uploads/691.pdf

 

About Author (s)

Zhwan Mohammed Khalid,  Raparin University, Sulaimany, Iraq. Email:eng.zhwan90@uor.edu.krd.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq. Email shavan.askar@epu.edu.iq.

 

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DOI: https://doi.org/10.5281/zenodo.4497732

Total Download of This Article : 94
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Security Issues and Vulnerability of IoT Devices Kurdistan Ali & Shavan Askar

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Security Issues and Vulnerability of IoT Devices

Author (s)

Kurdistan Ali & Shavan Askar

Abstract

­

The principle of linking intelligent device to the internet is taken out in the internet of things. This model facilitates the relation across the Cloud between the intellectual real items and the separate contact parties, such as the servers, the cellular devices. Internet of things is entering in all aspects of life including home, industries, medical care, cars, sensors, but the main and very important open challenges in this area is security issues. IoT security is very weak this is due to heterogeneous devices used in this field. Therefore, the expansion of security weak points will bring serious dangers to users’ security, and property. This paper discuss the security aspects in the IoT communication protocols and Security threats of multiple layers dependent on the security concepts of data confidently, data integrity and privacy, it also discusses and investigates the main IoT protocols that used to communicate between IoT based nodes and sensors. Furthermore, vulnerability in different protocols are reviewed and compared.

 Keywords: Internet of Things, Security, Privacy, Vulnerabilities, ZigBee, LoRaWaN, 6LoWPAN.

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Title: Security Issues and Vulnerability of IoT Devices
Author: Kurdistan Ali & Shavan Askar
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4497707
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 01/02/2021
Date of Publication: 03/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/690.pdf
Free download: Available
Page: 101-115
First Page: 101
Last Page: 115
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Kurdistan Ali & Shavan Askar (2021). Security Issues and Vulnerabilities of IoT Devices. International Journal of Science and Business, 5(3), 101-115. doi: https://doi.org/ 10.5281/zenodo.4497707

Retrieved from https://ijsab.com/wp-content/uploads/690.pdf

 

About Author (s)

Kurdistan Ali, Information System Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: Kurdistan.hamaali@epu.edu.iq.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq.

 

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DOI: https://doi.org/10.5281/zenodo.4497707

Total Download of This Article : 8
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Machine Learning Powered IoT for Smart Applications Zhala Jameel Hamad & Shavan Askar

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Machine Learning Powered IoT for Smart Applications  

Author (s)

Zhala Jameel Hamad & Shavan Askar

Abstract

­

With the coming of fast advancements, with the assistance of IoT, a great percentage of heterogeneous devices can be connected with each other. The technology with the relationship of different devices through the internet is named the internet of things (IoT), makes a wide number of different characteristics and qualities of data. IoT and Machine learning (ML) guarantees the widespread advancement to grow the insights of the IoT devices and applications. Over the final few years, artificial intelligence and machine learning have advanced very significantly. It allows a machine or system to learn more effectively than people learn on their own. When we learn some kind of system about the concept of our trial or the knowledge obtained after evaluating it. Combining IoT with rapidly advancing ML technologies can make ‘smart machines’ that mimic smart action to do well-informed resolve with little or no human involvement. There are at least two fundamental reasons, why machine learning is a suitable solution for the IoT world? The primary has got to do with the volume of data and the automation openings. The second is related to the prescient investigation. Therefore, this paper focuses on ML in different techniques and different domains that motivate and support IoT applications. Many previous works related to this subject and examples have been addressed, explained in detail. The results showed that ML plays a vital role in monitoring, processing, systematic investigation, and smart use of the expansive measure of data in several fields. It was also beneficial for helping users’ process massive data.

 Keywords: Machine Learning, Internet of things, SDN, Smart Applications.

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Title: Machine Learning Powered IoT for Smart Applications  
Author: Zhala Jameel Hamad & Shavan Askar
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4497664
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 01/02/2021
Date of Publication: 03/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/689.pdf
Free download: Available
Page: 92-100
First Page: 92
Last Page: 100
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Zhala Jameel Hamad & Shavan Askar (2021). Machine Learning Powered IoT for Smart Applications. International Journal of Science and Business, 5(3), 92-100. doi: https://doi.org/10.5281/zenodo.4497664

Retrieved from https://ijsab.com/wp-content/uploads/689.pdf

 

About Author (s)

Zhala Jameel Hamad  Information System Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: zhalla.mei20@epu.edu.iq.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq.

 

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DOI: https://doi.org/10.5281/zenodo.4497664

Total Download of This Article : 3
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Software Defined Network Based VANET Glena Aziz & Shavan Askar

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Software Defined Network Based VANET

Author (s)

Glena Aziz & Shavan Askar

Abstract

­

As the number of cars is growing, there is also a rapid growth in the number of road side accident. Much of these incidents have occurred by an error made by a driver. New protocols and architecture are rapidly being created for intelligent transport networks by researchers all over the world. To guarantee passengers’ safety, several companies are now encouraging an ad hoc vehicular network (VANET). In another side, before practically adopting VANET technology, there are many concerns related to this field that need to be discussed. A number of attacks can occur in the event of no or weak protection, which can be affected by the performance and reliability of the process. In order to make VANET networks more successful, it implements software defined networking (SDN) technology. This technique was briefly called SDN-VANET. The SDN in VANET framework enables us to prevent from the limitations and complexities of basic VANET structures. Through handling the whole network from a single remote controller, it allows them to reduce the overall burden on the network. In this article we describe SDN-based VANET, its working, benefits, challenges and services, applications, and security attacks.

 Keywords: Network Security, transport networks, VANET, software defined networking (SDN).

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Title: Software Defined Network Based VANET
Author: Glena Aziz & Shavan Askar
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4497640
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 01/02/2021
Date of Publication: 03/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/688.pdf
Free download: Available
Page: 83-91
First Page: 83
Last Page: 91
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Ibrahim Shamal Abdulkhaleq & Shavan Askar (2021). Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions. International Journal of Science and Business, 5(3), 71-82. doi: https://doi.org/10.5281/zenodo.4497512

Retrieved from https://ijsab.com/wp-content/uploads/687.pdf

 

About Author (s)

Glena Aziz Qadir,  Information System Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: glena.mei20@epu.edu.iq.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq.

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DOI: https://doi.org/10.5281/zenodo.4497640

Total Download of This Article : 6
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Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions Ibrahim Shamal Abdulkhaleq & Shavan Askar

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Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions

Author (s)

Ibrahim Shamal Abdulkhaleq & Shavan Askar

Abstract

­

Blockchain technology has lately become widely regarded, partially because of the surge in cryptocurrencies such as Bitcoin and their ability to be a force for economic and financial shift. While tokenomics also helped push blockchain in mainstream, this technology’s strengths are far more than crypt-monetary. Often known as distributed leader technologies, it is hypothesized that blockchain would serve like a catalyst for global disruptions and that blockchain-based applications in many industries such as the supply chain; the medical and legal fields are now being developed and implemented. By simultaneous research, we prove that the six confirms convention is vulnerable to peer-to-peer latency in the network and show just how readily PoW mining is broken. The divergences between these latest blocks open the transactions in question to the possibility that the blockchain fork will not be used. We concentrate on evaluating block detection accuracy and the breach of the six confirmed blockchain agreement.

 Keywords: Blockchain, network latency, PoW, cryptocurrency, IoT.

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Title: Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions
Author: Ibrahim Shamal Abdulkhaleq & Shavan Askar
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4497512
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 01/02/2021
Date of Publication: 03/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/687.pdf
Free download: Available
Page: 71-82
First Page: 71
Last Page: 82
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Ibrahim Shamal Abdulkhaleq & Shavan Askar (2021). Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions. International Journal of Science and Business, 5(3), 71-82. doi: https://doi.org/10.5281/zenodo.4497512

Retrieved from https://ijsab.com/wp-content/uploads/687.pdf

 

About Author (s)

Ibrahim Shamal Abdulkhaleq, Information System Engineering, Erbil Polytechnic University, Erbil, Iraq.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq.

 

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DOI: https://doi.org/10.5281/zenodo.4497512

Total Download of This Article : 8
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Deep Learning Models for Cyber Security in IoT Networks: A Review Kosrat Dlshad Ahmed & Shavan Askar

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Deep Learning Models for Cyber Security in IoT Networks: A Review

Author (s)

Kosrat Dlshad Ahmed & Shavan Askar

Abstract

­

The IoT systems and connectivity provide improved experience and improve the quality of service for the users in different perspectives. Recent development of the technological prospects and management of the sufficient aspects for the delivery of performance need to be ensured in this regard. The concept of IoT is related with the widely connected features, systems, data storage facilities, management processes, applications, devices, users, gateways, services and thousands of other elements. As the importance of IoT applications has been growing in recent times, the prospects for development and management are immense for the development opportunities. In recent times, cybersecurity and ensuring privacy for the users have attracted attention of the users. With growing popularity of the social media platforms, more and more people are becoming connected. With growing opportunity of connectivity, people need more secured space to connect. In this article, different aspects of the cybersecurity based on the deep learning models and analyzing the concepts of machine learning, understanding the concept of security and privacy, contributing to the development and management of cybersecurity etc. To demonstrate the understanding of cybersecurity in the IoT networks, effective deep learning models such as MLP, CNN, LSTP and a hybrid model of CNN and LSTP have been analyzed. To contribute to the learning process, future research opportunities have also been identified.

 Keywords: Deep Leaning, Machine Learning, Cyber Security, Internet of Things, Privacy, Cyber Security.

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Title: Deep Learning Models for Cyber Security in IoT Networks: A Review
Author: Kosrat Dlshad Ahmed & Shavan Askar
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4497017
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 01/02/2021
Date of Publication: 03/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/686.pdf
Free download: Available
Page: 61-70
First Page: 61
Last Page: 70
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Kosrat Dlshad Ahmed, Shavan Askar (2021). Deep Learning Models for Cyber Security in IoT Networks: A Review. International Journal of Science and Business, 5(3), 61-70. doi: https://doi.org/10.5281/zenodo.4497017

Retrieved from https://ijsab.com/wp-content/uploads/686.pdf

 

About Author (s)

Kosrat Dlshad Ahmed, Information System Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: kosrat.ahmed@epu.edu.iq.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq.  Email: shavan.askar@epu.edu.iq.

 

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DOI: https://doi.org/10.5281/zenodo.4497017

Total Download of This Article : 5
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Survey on Edge Computing Security Baydaa Hassan Husain & Shavan Askar

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Survey on Edge Computing Security

Author (s)

Baydaa Hassan Husain & Shavan Askar

Abstract

­

It’s possible to explain Edge computing (EC) as a distributed system of IT that decentralized the power of processing in which the mobile Internet of Things (IoT) computing would be allowed. In EC, data processed by local tools, computers, or servers, instead of being process and transmitted from the data center. However, with the wider capabilities of EC by increasing the network performance and reducing the latency, security challenges, and the risks will increase with data being stored and used on these devices on the edge or end of the network. This paper first provides a definition of EC and explain the reasons that led to the rapid spread of this type of computing with an explanation of the most important differences between EC and CC, in terms of the resources available for each type, processing, storage, as well as the privacy and security factor. Later, explaining the uses and benefits of this type of computing. However, the challenges are also taken into consideration, foremost among which is security. Through reviewing a number of previous researches, security challenges have been identified in four main sectors, including data privacy and security, access control, attack mitigation, and detection for anomalies Finally, choosing a set of solutions that were drawn from previous studies and contributed in reducing and limiting these challenges. Hopping this paper sheds light on Edge Computing security and paves the way for more future research.

 Keywords: Edge Computing (EC), Internet of Things (IoT), Cloud Computing, Security, distributed system of IT.

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Title: Survey on Edge Computing Security
Author: Baydaa Hassan Husain & Shavan Askar
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4496939
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 01/02/2021
Date of Publication: 03/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/685.pdf
Free download: Available
Page: 52-60
First Page: 52
Last Page: 60
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Baydaa Hassan Husain & Shavan Askar (2021). Survey on Edge Computing Security. International Journal of Science and Business, 5(3), 52-60. doi: https://doi.org/ 10.5281/zenodo.4496939

Retrieved from https://ijsab.com/wp-content/uploads/685.pdf

 

About Author (s)

Baydaa Hassan Husain,  Information System Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: baydaa.mei20@epu.edu.iq.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq.

 

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DOI: https://doi.org/10.5281/zenodo.4496939

Total Download of This Article : 3
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Machine Learning for IoT HealthCare Applications: A Review Chnar Mustafa Mohammed & Shavan Askar

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Machine Learning for IoT HealthCare Applications: A Review

Author (s)

Chnar Mustafa Mohammed & Shavan Askar

Abstract

­

Internet of Things and Machine Learning (ML) have wide applicability in many aspects of life, health care is one of them. With the rapid development and improvement of the internet, the conventional strategies for patient services diminished and supplanted with electronic healthcare systems. The use of IoT technology offers medical professionals and patients the most modern medical device environment. IoT things and Machine-Learning are valuable in various classifications from far off observing of the modern climate to mechanical mechanization. Moreover, medical care applications are principally indicating interest in IoT things in view of cost decrease, easy to understand and improve the personal satisfaction of patients. The latest applications for IoT medical treatment, investigated and still facing problems in the clinical environment, are needed for intellectual, creativity-based answers. In specific, portable, and implantable IoT model devices, investigated for calculating the data transmission. Implantable technologies lead to the natural substitution of the injured part of the human body. The creation of a wearable and implantable healthcare body area network faced several challenges that are illustrated in this study. In this paper, an overview of IoT and Machine Learning based on healthcare care demonstrated in detail, the applications that use in health care by incorporating Machine Learning (ML) for the Internet of Things (IoT) listed with all issues and challenges while using this application or devices for health care and their important usage. Also, algorithms used by Machine Learning in IoT for developing devices are indicated by showing previous work and classified each of them according to the used method.

 Keywords: Internet of Things, Machine Learning, Wearable devices, personalized health care, and implantable devices.

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Title: Machine Learning for IoT HealthCare Applications: A Review
Author: Chnar Mustafa Mohammed & Shavan Askar
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4496904
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 31/01/2021
Date of Publication: 03/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/684.pdf
Free download: Available
Page: 42-51
First Page: 42
Last Page: 51
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Chnar Mustafa Mohammed & Shavan Askar (2021). Machine Learning for IoT HealthCare Applications: A Review. International Journal of Science and Business, 5(3), 42-51. doi: https://doi.org/10.5281/zenodo.4496904

Retrieved from https://ijsab.com/wp-content/uploads/684.pdf

 

About Author (s)

Chnar Mustaf Mohammed,  Information System Engineering, Erbil Polytechnic University, Erbil, Iraq.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq

 

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DOI: https://doi.org/10.5281/zenodo.4496904

Total Download of This Article : 5
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Soft Skills Development Through Live In Program in UPH Surabaya Campus in 2020 Erwin Kristianto Julistiono

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Soft Skills Development Through Live In Program in UPH Surabaya Campus in 2020

Author (s)

Erwin Kristianto Julistiono

Abstract

­The industry world nowadays requires its workforce to embrace soft skills. This condition demands universities to conduct soft skills development programs. One implementation of the soft skills development program in UPH Surabaya Campus is Live In. Live In combines education and community service aspects, by bringing the participants to live in an underdeveloped village and putting them some programs to organize for three days. The expected result is the enhancement of the following skills: integrity, communication, polite manner, responsibility, social skills, positive attitudes, professionalism, flexibility, cooperation, and work ethics. The research is conducted with a descriptive quantitative method, using a questionnaire instrument and convenience sampling technique. The result analyzed from 44 respondents reveals that the average value of the soft skills enhancement reached 3.12 of 4. This means that participants acknowledged the importance of the program in enhancing their soft skills. Furthermore, there are 3 soft skills which are improved more than others, which are flexibility, responsibility, and social skills.

 Keywords: development, live in, soft skills, community service, industrial world, education.

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Title: Soft Skills Development Through Live In Program in UPH Surabaya Campus in 2020
Author: Erwin Kristianto Julistiono
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4490927
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 27/01/2021
Date of Publication: 02/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/702.pdf
Free download: Available
Page: 11-19
First Page: 11
Last Page: 19
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Erwin Kristianto Julistiono (2021). Soft Skills Development Through Live In Program in UPH Surabaya Campus in 2020. International Journal of Science and Business, 5(4), 11-19. doi: https://doi.org/10.5281/zenodo.4490927

Retrieved from https://ijsab.com/wp-content/uploads/702.pdf

 

About Author (s)

Erwin Kristianto Julistiono, S.Kom., MAC., M.H., Lecturer, Universitas Pelita Harapan Surabaya Campus, Taman Kutisari Indah Selatan 5, Surabaya, East Java, Indonesia. Email: erwin.julistiono@uph.edu

 

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DOI: https://doi.org/10.5281/zenodo.4490927

Total Download of This Article : 8
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Effectiveness of Islamic Microfinance in Alleviating Poverty: Empirical Evidence from Bangladesh Md. Nur Nobi, Md. Arif Billah, Asaduzzaman Shohel & Tani

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Effectiveness of Islamic Microfinance in Alleviating Poverty: Empirical Evidence from Bangladesh

Author (s)

Md. Nur Nobi, Md. Arif Billah, Asaduzzaman Shohel & Tani

Abstract

­

Islamic Micro – finance (IMFc) is an evolving technique to empower the deprived and needy population. The present study was intended to investigate the effect of the IMFc on the resources of individuals borrowing from an Islamic microfinance institution and their poverty status. The prime intention of this paper is to justify the effect of IFMc for poverty alleviation. The study reveals that IMFc programs have introduced a positive result on significant numbers of poor. Islamic microfinance has significant impacts on income, savings and expenditure levels of the household. The analysis shows that in general, the Islamic micro finance is an instrument that can help to accumulate savings and income and finally assist to alleviate their poverty. But still it is not only the instrument that can alleviate poverty but it is the vital component that can help to the poor people for standard living levels. Our analysis shows that after taking Islamic finance there is a significant change in the respondents’ income savings and expenditures.

 Keywords: Islamic Finance, Poverty Alleviation, Microcredit, Poverty, NGO, Bangladesh, Islamic Microfinance, Income Level, Islamic Banking, Socio Economic Development, Rural Development.

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Title: Effectiveness of Islamic Microfinance in Alleviating Poverty: Empirical Evidence from Bangladesh
Author: Md. Nur Nobi, Md. Arif Billah, Asaduzzaman Shohel & Tani
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4485794
Media: Online
Volume: 5
Issue: 4
Acceptance Date: 27/01/2021
Date of Publication: 01/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/701.pdf
Free download: Available
Page: 1-10
First Page: 1
Last Page: 10
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Md. Nur Nobi, Md. Arif Billah, Asaduzzaman Shohel, & Tani (2021). Effectiveness of Islamic Microfinance in Alleviating Poverty: Empirical Evidence from Bangladesh. International Journal of Science and Business, 5(4), 1-10. doi: https://doi.org/ 10.5281/zenodo.4485794

Retrieved from https://ijsab.com/wp-content/uploads/701.pdf

 

About Author (s)

Md. Nur Nobi, (corresponding author), PhD Research Fellow, Faculty of Finance and Administrative Sciences, Al-Madinah International University, Malaysia. ORCID ID: orcid.org/0000-0003-1477-6347, Email: mdnurnobihub28@gmail.com.

 Md. Arif Billah, Assistant Professor of Economics, Department of Qur’anic Sciences, International Islamic University Chittagong, Bangladesh. Email: abillah55@yahoo.com.

 Asaduzzaman Shohel, BBA in Marketing & Supply Chain Management, International Islamic University Chittagong, Bangladesh. Email: shohel151463@gmail.com.

 Tani, Bachelor of Social Sciences (BSS), Department of Public Administration, Jagannath University, Bangladesh. Email:  jnu.tani2580@gmail.com.

 

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DOI: https://doi.org/10.5281/zenodo.4485794

Total Download of This Article : 14
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Medical Text Classification Based on Convolutional Neural Network: A Review Hazha Saeed Yahia & Adnan Mohsin Abdulazeez

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Medical Text Classification Based on Convolutional Neural Network: A Review

Author (s)

Hazha Saeed Yahia & Adnan Mohsin Abdulazeez

Abstract

­

Medical text classification has a significant impact on disease diagnosis, medical research, and the automatic development of disease ontology, acquiring knowledge of clinical results recorded in the medical literature. Hence, medical text classification is challenging because it contains terminologies that describe medical concepts and terminologies. Furthermore, the medical data mostly does not follow natural language grammar; it has inadequate grammatical sentences. The techniques used for text classification give different results comparing to medical text classifications, as extracting text and training sets are different. One of the most significant text classification models in general and medical text classification specifically is CNN-based models. In this paper, many papers on medical text classification have been reviewed, and the details of each article, such as algorithms, or approaches used, databases, classification techniques, and outcomes obtained, are evaluated and outlined thoroughly. Besides, discussions were carried out on all the studied papers, which profoundly influenced medical documents classification.

 Keywords: Text classification, Medical text classification, Neural networks, Convolutional neural networks, CNN architecture.

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Title: Medical Text Classification Based on Convolutional Neural Network: A Review
Author: Hazha Saeed Yahia & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4483635
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 30/01/2021
Date of Publication: 31/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/683.pdf
Free download: Available
Page: 27-41
First Page: 27
Last Page: 41
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Hazha Saeed Yahia & Adnan Mohsin Abdulazeez (2021). Medical Text Classification Based on Convolutional Neural Network: A Review. International Journal of Science and Business, 5(3), 27-41. doi: https://doi.org/10.5281/zenodo.4483635

Retrieved from https://ijsab.com/wp-content/uploads/683.pdf

 

About Author (s)

Hazha Saeed Yahia (corresponding author), Poly Techniques University, Duhok, Kurdistan Region, Iraq. E-mail: Hazha.yahia@gmail.com

Professor Adnan Mohsin Abdulazeez, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.4483635

Total Download of This Article : 19
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Identifying Speakers Using Deep Learning: A review Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez

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Identifying Speakers Using Deep Learning: A review

Author (s)

Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez

Abstract

­With the advancement of technology and the increasing demand on smart systems and smart applications that provide a quality-of-life improvement, there has been a surge in the demand of more conscious applications, Machine Learning (ML) is considered one of the driving forces behind implementing these types of applications, and one of its implementations is Speaker Identification (SID). Deep Neural Networks (DNNs) and also Recurrent Neural Networks (RNNs) are two main types of Deep Learning that are being used in the implementation of such applications. Speaker Identification is being utilized more and more on daily basis and is being focused on by the research community as a result of this demand. In this paper, a review will be conducted to some of the most recent researches that were conducted in this area and compare their results while discussing their outcomes.

 Keywords: Machine Learning, Speaker Identification, Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks.

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Title: Identifying Speakers Using Deep Learning: A review
Author: Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4481596
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 28/01/2021
Date of Publication: 30/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/682.pdf
Free download: Available
Page: 15-26
First Page: 15
Last Page: 26
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez (2021). Identifying Speakers Using Deep Learning: A review. International Journal of Science and Business, 5(3), 15-26. doi: https://doi.org/10.5281/zenodo.4481596

Retrieved from https://ijsab.com/wp-content/uploads/682.pdf

 

About Author (s)

Lawchak Fadhil Khalid (corresponding author), Technical College of Informatics – Akre, Duhok Polytechnic University (DPU), Kurdistan Region, Iraq. Email: lawchak.fadhil@gmail.com

Adnan Mohsin Abdulazeez, Duhok Polytechnic University (DPU), Kurdistan Region, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.4481596

Total Download of This Article : 14
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Deep Learning Convolutional Neural Network for Speech Recognition: A Review Kazheen Ismael Taher & Adnan Mohsin Abdulazeez

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Deep Learning Convolutional Neural Network for Speech Recognition: A Review

Author (s)

Kazheen Ismael Taher & Adnan Mohsin Abdulazeez

Abstract

­In the last few decades, there has been considerable amount of research on the use of Machine Learning (ML) for speech recognition based on Convolutional Neural Network (CNN). These studies are generally focused on using CNN for applications related to speech recognition. Additionally, various works are discussed that are based on deep learning since its emergence in the speech recognition applications. Comparing to other approaches, the approaches based on deep learning are showing rather interesting outcomes in several applications including speech recognition, and therefore, it attracts a lot of researches and studies. In this paper, a review is presented on the developments that occurred in this field while also discussing the current researches that are being based on the topic currently.

 Keywords: Machine Learning, Speech Recognition, Convolutional Neural Networks, Deep Learning, Word Error Rate (WER).

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Title: Deep Learning Convolutional Neural Network for Speech Recognition: A Review
Author: Kazheen Ismael Taher & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4475361
Media: Online
Volume: 5
Issue: 3
Acceptance Date: 24/01/2021
Date of Publication: 28/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/681.pdf
Free download: Available
Page: 1-14
First Page: 1
Last Page: 14
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Kazheen Ismael Taher & Adnan Mohsin Abdulazeez (2021). Deep Learning Convolutional Neural Network for Speech Recognition: A Review. International Journal of Science and Business, 5(3), 1-14. doi: https://doi.org/10.5281/zenodo.4475361

Retrieved from https://ijsab.com/wp-content/uploads/681.pdf

 

About Author (s)

Kazheen Ismael Taher (corresponding author), Information Technology Department, Akre Technical College of Informatics, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: kajeen.ismael@gmail.com

Professor Adnan Mohsin Abdulazeez, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: adnan.mohsin@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4475361

Total Download of This Article : 26
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Machine Learning Classification Based on Radom Forest Algorithm: A Review Nasiba Mahdi Abdulkareem & Adnan Mohsin Abdulazeez

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Machine Learning Classification Based on Radom Forest Algorithm: A Review

Author (s)

Nasiba Mahdi Abdulkareem & Adnan Mohsin Abdulazeez

Abstract

­Machine Learning is a significant technique to realize Artificial Intelligence. The Random Forest Algorithm can be considered as one of the Machine Learning’s representative algorithm, which is known for its simplicity and effectiveness. It is also can be defined as a Decision Tree-Based Classifier that chooses the best classification tree as the final classifier’s classification of the algorithm via voting. Random Forest is the most accepted group classification technique because of having excellent features such as Variable Importance Measure, Out-of-bag error, Proximities, etc. Currently, it is in the new classification, intrusion detection, content information filtering, and sentiment analysis that is why there is an extensive range of applications in image processing. In this paper, the construction process of Random Forests and the study status of Random Forests would primarily be introduced in terms of capacity enhancement and performance indicators. The use of Random Forest in different fields such as Medicine, Agriculture, Astronomy, etc. is often mentioned.

 Keywords: Machine Learning, Random Forest, Ensembles of Decision Tree, Classification.

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Title: Machine Learning Classification Based on Radom Forest Algorithm: A Review
Author: Nasiba Mahdi Abdulkareem & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4471118
Media: Online
Volume: 5
Issue: 2
Acceptance Date: 24/01/2021
Date of Publication: 27/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/676.pdf
Free download: Available
Page: 128-142
First Page: 128
Last Page: 142
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Nasiba Mahdi Abdulkareem & Adnan Mohsin Abdulazeez (2021). Machine Learning Classification Based on Radom Forest Algorithm: A Review. International Journal of Science and Business, 5(2), 128-142. doi: https://doi.org/10.5281/zenodo.4471118

Retrieved from https://ijsab.com/wp-content/uploads/676.pdf

 

About Author (s)

Nasiba Mahdi Abdulkareem (corresponding author), Information Technology Department, Akre Technical College of Informatics, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: nasiba.mahdi@dpu.edu.krd

Professor Adnan Mohsin Abdulazeez, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: adnan.mohsin@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4471118

Total Download of This Article : 24
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Deep Learning Convolutional Neural Network for Face Recognition: A Review Rondik J. Hassan & Adnan Mohsin Abdulazeez

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Deep Learning Convolutional Neural Network for Face Recognition:

A Review

Author (s)

Rondik J. Hassan & Adnan Mohsin Abdulazeez

Abstract

­Face recognition is increasingly being used for solving various social-problems such as personal protection and authentication. As with other widely used biometric applications, facial recognition is a biometric instrument such as iris recognition, vein pattern recognition, and fingerprint recognition. Facial recognition identifies a person based on certain aspects of his physiology. Deep Learning (DL) is a branch of machine learning (ML) that can be used in image processing and pattern recognition to solve multiple problems, one of the applications is face recognition. With the advancement of deep learning, Convolution Neural Network (CNN) based facial recognition technology has been the dominant approach adopted in the field of face recognition. The purpose of this paper is to provide a review of face recognition approaches. Furthermore, the details of each paper, such as used datasets, algorithms, architecture, and achieved results are summarized and analyzed comprehensively.

 Keywords: Face Recognition, Machine Learning, Deep Learning, Convolution Neural Network, Feature Extraction, Feature Matching.

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Title: Deep Learning Convolutional Neural Network for Face Recognition: A Review
Author: Rondik J. Hassan & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4471013
Media: Online
Volume: 5
Issue: 2
Acceptance Date: 24/01/2021
Date of Publication: 27/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/675.pdf
Free download: Available
Page: 114-127
First Page: 114
Last Page: 127
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Rondik J. Hassan & Adnan Mohsin Abdulazeez (2021). Deep Learning Convolutional Neural Network for Face Recognition: A Review, International Journal of Science and Business, 5(2), 114-127. doi: https://doi.org/ 10.5281/zenodo.4471013

Retrieved from https://ijsab.com/wp-content/uploads/675.pdf

 

About Author (s)

Rondik J.Hassan (corresponding author), Information Technology Department, Akre Technical College of Informatics, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.  E-mail: rondik.jamaluddin@gmail.com

Professor Adnan Mohsin Abdulazeez, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: adnan.mohsin@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4471013

Total Download of This Article : 22
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Human Diseases Detection Based On Machine Learning Algorithms: A Review Nareen O. M. Salim & Adnan Mohsin Abdulazeez

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Human Diseases Detection Based On Machine Learning Algorithms: A Review

Author (s)

Nareen O. M. Salim & Adnan Mohsin Abdulazeez

Abstract

­One of the most significant subjects of society is human healthcare. It is looking for the best one and robust disease diagnosis to get the care they need as soon as possible. Other fields, such as statistics and computer science, are needed for the health aspect of searching since this recognition is often complicated. The task of following new approaches is challenging these disciplines, moving beyond the conventional ones. The actual number of new techniques makes it possible to provide a broad overview that avoids particular aspects. To this end, we suggest a systematic analysis of human diseases related to machine learning. This research concentrates on existing techniques related to machine learning growth applied to the diagnosis of human illnesses in the medical field to discover exciting trends, make unimportant predictions, and help decision-making. This paper analyzes unique machine learning algorithms used for healthcare applications to create adequate decision support. This paper intends to reduce the research gap in creating a realistic decision support system for medical applications.

 Keywords: Human disease, Healthcare, Machine learning, Deep learning, Convolutional Neural Networks.

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Title: Human Diseases Detection Based On Machine Learning Algorithms: A Review
Author: Nareen O. M. Salim & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4467510
Media: Online
Volume: 5
Issue: 2
Acceptance Date: 19/01/2021
Date of Publication: 25/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/674.pdf
Free download: Available
Page: 102-113
First Page: 102
Last Page: 113
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Nareen O. M. Salim & Adnan Mohsin Abdulazeez (2021). Human Diseases Detection Based On Machine Learning Algorithms: A Review. International Journal of Science and Business, 5(2), 102-113. doi: https://doi.org/10.5281/zenodo.4462858

Retrieved from https://ijsab.com/wp-content/uploads/674.pdf

 

About Author (s)

Nareen O. M. Salim, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Adnan Mohsin Abdulazeez (corresponding author), Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. Email: nareen.mohameed@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4467510

Total Download of This Article : 73
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Evaluation of QoS in Distributed Systems: A Review Glena Aziz Qadir & Subhi R. M. Zeebaree

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Evaluation of QoS in Distributed Systems: A Review

Author (s)

Glena Aziz Qadir & Subhi R. M. Zeebaree

Abstract

­Quality of Service (QoS) is a significant concept in distributed systems. Therefore, several studies within QoS for distributed systems have been researched over the past years. It is very difficult to deliver an appropriate QoS level for frameworks running in different open resource environments, including the Internet. A distributed system’s QoS characteristics are affected by the QoS of the specific hosts involved, and the QoS of the networking subsystem linking these hosts. This paper reviews the state-of-the-art of distributed systems evolution in QoS architecture. In the context of distributed systems, the method adopted is to address QoS terms and a generalized QoS system for identifying and explaining QoS.

 Keywords: Cloud computing, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), software as a Service (SaaS).

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Title: Evaluation of QoS in Distributed Systems: A Review
Author: Glena Aziz Qadir & Subhi R. M. Zeebaree
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4481463
Media: Online
Volume: 5
Issue: 2
Acceptance Date: 20/01/2021
Date of Publication: 25/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/673.pdf
Free download: Available
Page: 89-101
First Page: 89
Last Page: 101
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Qadir, G. A. and Zeebaree, S. R. M. (2021). Evaluation of QoS in Distributed Systems: A Review. International Journal of Science and Business, 5(2), 89-101. doi: https://doi.org/10.5281/zenodo.4481463

Retrieved from https://ijsab.com/wp-content/uploads/673.pdf

 

About Author (s)

Glena Aziz Qadir (corresponding author), Information System Engineering Dept.,  Erbil polytechnic University, KRG-Iraq. glena.mei20@epu.edu.iq

Subhi R.M Zebaree Duhok Polytechnic University, KRG-Iraq. subhi.rafeeq@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4481463

Total Download of This Article : 20
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Resources Allocation for Distributed Systems: A Review Kurdistan Wns HamaAli & Subhi R. M. Zeebaree

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Resources Allocation for Distributed Systems: A Review

Author (s)

Kurdistan Wns HamaAli & Subhi R. M. Zeebaree

Abstract

­Resource allocation in a distributed system is the process of allocating the workload across multiple resources to optimize the required performance criteria. Different techniques are used to manage resource allocation in such distributed systems. The resource allocation for distributed systems such as cloud computing, cellular network, Software-Defined Networking (SDN), Radar Imaging and 5G Networks are used. In this paper many resource allocation algorithms in different environment and area that mentioned before are reviewed, compared and summarized. for instance, Cloud-based computation algorithm implementations in cloud computing, Direction Method of Multipliers (ADMM) algorithm for SDN Networking, FFR algorithm application in cellular network, Fairness-based Distributed Resource Allocation (FDRA) algorithm for 5G networks, then each the results in each area are discussed in critique point of view.

 Keywords: Distributed system, distributed computer systems, distributed networks, resource allocation, Software Defiend Network.

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Title: Resources Allocation for Distributed Systems: A Review
Author: Kurdistan Wns HamaAli & Subhi R. M. Zeebaree
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4462088
Media: Online
Volume: 5
Issue: 2
Acceptance Date: 20/01/2021
Date of Publication: 25/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/672.pdf
Free download: Available
Page: 76-88
First Page: 76
Last Page: 88
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Kurdistan Wns HamaAli and Zeebaree, S. R. M. (2021). Resources Allocation for Distributed Systems: A Review. International Journal of Science and Business, 5(2), 76-88. doi: https://doi.org/10.5281/zenodo.4462088

Retrieved from https://ijsab.com/wp-content/uploads/672.pdf

 

About Author (s)

Kurdistan Wns HamaAli (corresponding author), Information System Engineering Dept.,  Erbil polytechnic University, KRG-Iraq. Kurdistan.HamaAli@epu.edu.iq

Subhi R. M. Zeebaree Duhok Polytechnic University, KRG-Iraq. subhi.rafeeq@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4462088

Total Download of This Article : 14
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Big Data Analysis for Data Visualization: A Review Zhwan M. Khalid, Subhi R. M. Zeebaree

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Big Data Analysis for Data Visualization: A Review

Author (s)

Zhwan M. Khalid, Subhi R. M. Zeebaree

Abstract

­One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to data integration and the process of big data problems. Both of them are essential and difficult to visualize and interpret large-scale databases since they require considerable data processing and storage capacity. The data age, where data grows exponentially, is a significant struggle to extract data in a manner that the human mind can grasp. This paper reviews and provides data visualization and the Heterogeneous Distributed Storage description and their challenges using different methods through some previous researches. Besides, the results of reviewed research works are compared, and the fundamental shift in the world of large data visualization of virtual reality is discussed.

 Keywords: Big Data, Heterogeneous, Visualization, Distribute Data Value.

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Title: Big Data Analysis for Data Visualization: A Review
Author: Zhwan M. Khalid, Subhi R. M. Zeebaree
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4481357
Media: Online
Volume: 5
Issue: 2
Acceptance Date: 20/01/2021
Date of Publication: 25/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/671.pdf
Free download: Available
Page: 64-75
First Page: 64
Last Page: 75
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Khalid, Z. M. and Zeebaree, S. R. M. (2021). Big Data Analysis for Data Visualization: A Review. International Journal of Science and Business, 5(2), 64-75. doi: https://doi.org/10.5281/zenodo.4481357

Retrieved from https://ijsab.com/wp-content/uploads/671.pdf

 

About Author (s)

Zhwan M. Khalid (corresponding author), Information System Engineering Dept.,  Erbil polytechnic University, KRG-Iraq. eng.zhwan90@uor.edu.krd

Subhi R.M Zeebaree, Duhok Polytechnic University, KRG-Iraq. subhi.rafeeq@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4481357

Total Download of This Article : 54
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Resource Allocation in Fog Computing: A Review Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree

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Resource Allocation in Fog Computing: A Review

Author (s)

Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree

Abstract

­Coupled with resource retrained system and devices, Internet of things network requires effective utilization of Fog Computing system. With increasing demand and requirements for enhancing the performance, fog computing scenario requires increased output, less latency, greater performance etc. This review takes the concept of fog computing one step further by reviewing available literature on the components of fog computing to determine the effective outcomes for different settings and management of the network consideration. Contributing to the development appropriate settings and management of the cloud based support, necessary analysis has been carried out in this review. Systematic analysis on the development of fog computing such as system model has been analyzed. To review the prospects and development of fog computing, necessary relationships have been established such as fog computing, fog – cloud computing and fog – fog computing. Based on the learning of the research, future direction for the research has been suggested as well.

 Keywords: Fog Computing, Internet of Vehicles (IoV), Internet of Things (IoT), Mapping Study, Resource Allocation, Fog Nodes, Quality of Experience (QoE).

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Title: Resource Allocation in Fog Computing: A Review
Author: Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4461876
Media: Online
Volume: 5
Issue: 2
Acceptance Date: 20/01/2021
Date of Publication: 25/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/670.pdf
Free download: Available
Page: 54-63
First Page: 54
Last Page: 63
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree (2021) Resource Allocation in Fog Computing: A Review. International Journal of Science and Business, 5(2), 54-63. doi: https://doi.org/10.5281/zenodo.4461876

Retrieved from https://ijsab.com/wp-content/uploads/670.pdf

 

About Author (s)

Kosrat Dlshad Ahmed (corresponding author), ISE Department, Erbil Polytechnic University, Erbil – Kurdistan Region – Iraq,  kosrat.ahmed@epu.edu.iq.

Subhi R. M. Zeebaree, Information Technology Department, Duhok Polytechnic University, Duhok – Kurdistan Region – Iraq, subhi.rafeeq@dpu.edu.krd.

 

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DOI: https://doi.org/10.5281/zenodo.4461876

Total Download of This Article : 21