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Blockchain For Securing IoT Devices: A Review Shavan Askar, Zhwan Mohammed Khalid, Tarik A. Rashid

Blockchain For Securing IoT Devices: A Review

Author (s)

Shavan Askar, Zhwan Mohammed Khalid, Tarik A. Rashid

Abstract

­Internet of Things (IoT) has grown quickly and receives considerable interest in academia and the market. However, the absence of basic technologies in protection leads to risks and security flaws in IoT privacy. IoT technologies vary from a mission-critical predicament to business-oriented applications (for example, smart grid networks, smart mobility systems, video monitoring, and eHealth) (e.g., Banking, transportation and contract law insurance) (Askar et al., 2011; Al Majeed et al, 2014). Comprehensive security support is required for IoT, particularly for task-critical applications and for business applications downstream. There have been proposals and/or utilizations of some safety methods or approaches. The platform blockchain has been suggested as an outsourced and distributed solution to guarantee protection standards and to motivate the growth of the IoT due to its decentralization and disclosure. A Blockchain is a database that store sequential manner, in multiple machine memories faulty to its opponents, any processed transactions – or records. Both participating customers share these purchases. The details shall not be stored as a public directory; each node user or device is equipped with the same directory as any other node user. In this article, present the basic blockchain structure and outline the safety criteria for developing IoT and then discuss how the IoT using’s protection tools and technologies can be used via BC. Also identify the most pertinent IoT technology frameworks based on blockchain. In addition, reviewing numbers of researches provides securing IoT based on BC finally, discuss several challenges will face of IoT and BC.

 Keywords: Blockchain, IoT, Security, cryptocurrency, 5G, blockchain security.

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Title: Blockchain For Securing IoT Devices: A Review
Author: Shavan Askar, Zhwan Mohammed Khalid, Tarik A. Rashid
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.5222704
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/757.pdf
Free download: Available
Page: 209-224
First Page: 209
Last Page: 224
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Zhwan Mohammed Khalid, Tarik A. Rashid (2021). Blockchain For Securing IoT Devices: A Review. International Journal of Science and Business, 5(6), 209-224. doi: https://doi.org/10.5281/zenodo.5222704

Retrieved from https://ijsab.com/wp-content/uploads/757.pdf

 

About Author (s)

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

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

Tarik A. Rashid, Professor, Computer Science and Engineering, University of Kurdistan Hawler, Erbil, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.5222704

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Deep Learning and Fog Computing: A Review Shavan Askar, Zhala Jameel Hamad, Shahab Wahhab Kareem

Deep Learning and Fog Computing: A Review

Author (s)

Shavan Askar, Zhala Jameel Hamad, Shahab Wahhab Kareem

Abstract

­Fog computing (FC) is a new architecture that aims to reduce network pressures throughout the core network as well as the cloud computing (CC) by bringing resource-intensive functions like computation, analytics, connectivity, also storage, nearest to the clients. In their operations, FC systems can make use of intelligence features to reap the benefits of data that is readily accessible with computing resources to be able to resolve the problem of excessive energy use with power for Internet-of-Things (IoT) apps that require speed. It generates large volumes of data, prompting the creation of a growing number of FC apps and services. Furthermore, Deep Learning (DL), an important field, has made significant progress in a variety of research areas, including robotics, face recognition, neuromorphic computing, decision-making, computer graphics, and speech recognition. Several studies have been suggested to look at how to use DL to solve FC issues. DL has become more common these days to improve FC apps as well as provide fog services such as security, resource management, accuracy, delay, and energy reduction, cost, data processing, and traffic modeling. The current review paper will focus on how to provide an overview of DL functions throughout the FC sector. The DL implementation for FC has evolved into powerful clients with services at the highest level, allowing for deeper analytics and mission answers that are more intelligent.

 Keywords: Internet of Things (IoT), cloud computing, fog computing.

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Title: Deep Learning and Fog Computing: A Review
Author: Shavan Askar, Zhala Jameel Hamad, Shahab Wahhab Kareem
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.5222647
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/756.pdf
Free download: Available
Page: 197-208
First Page: 197
Last Page: 208
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Zhala Jameel Hamad, Shahab Wahhab Kareem (2021). Deep Learning and Fog Computing: A Review. International Journal of Science and Business, 5(6), 197-208. doi: https://doi.org/10.5281/zenodo.5222647

Retrieved from https://ijsab.com/wp-content/uploads/756.pdf

 

About Author (s)

Shavan Askar (Corresponding Author), Assistant Professor, CEO of Arcella Telecom, College of Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq

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

Shahab Wahhab Kareem, Lecturer, Erbil Polytechnic University, Erbil, Iraq.

 

 

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DOI: https://doi.org/10.5281/zenodo.5222647

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Fog Computing Based IoT System: A Review Shavan Askar, Kurdistan Ali, Tarik A. Rashid

Fog Computing Based IoT System: A Review

Author (s)

Shavan Askar, Kurdistan Ali, Tarik A. Rashid

Abstract

­Due to the rapid accelerated development of IoT technologies, the traditional generation cloud computing model is faced with a range of problems, including high latency, low bandwidth, and network problems. Fog computing is a new promising feature that enables legitimate cloud application services will be provided close to something like the physical IoT device at the edge devices rather than in the cloud. It’s a layer that lies between the cloud and the Iot. computers that enables unified internet-based computing. How about sending IoT information to the cloud, the fog processes and stores it remotely at IoT computers. The fog in comparison to the cloud, offers resources that are more sensitive and of higher quality. As a result, fog computing could be the best option for enabling the IoT to deliver effective and reliable services to a huge number of IoT clients. After that, we’ll go over some of the literature and outline the findings.

 Keywords: Internet of Things (IoT), cloud computing, fog computing.

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Title: Fog Computing Based IoT System: A Review
Author: Shavan Askar, Kurdistan Ali, Tarik A. Rashid
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.5222392
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/755.pdf
Free download: Available
Page: 183-196
First Page: 183
Last Page: 196
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Kurdistan Ali, Tarik A. Rashid (2021). Fog Computing Based IoT system: A Review. International Journal of Science and Business, 5(6), 183-196. doi: https://doi.org/ 10.5281/zenodo.5222392

Retrieved from https://ijsab.com/wp-content/uploads/755.pdf

 

About Author (s)

Shavan Askar (Corresponding Author), Assistant Professor, CEO of Arcella Telecom, College of Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq

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

Tarik A. Rashid, Professor, Computer Science and Engineering, University of Kurdistan Hawler, Erbil, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.5222392

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Deep learning Utilization in SDN Networks: A Review Shavan Askar, Kosrat Dlshad Ahmed, Shahab Wahhab Kareem

Deep learning Utilization in SDN Networks: A Review

Author (s)

Shavan Askar, Kosrat Dlshad Ahmed, Shahab Wahhab Kareem

Abstract

­

The contexts of SDN or Software Defined Network deliver increased level of programmable and functionality within the network development, network configuration and development of the dynamic management in the software protocol. SDN concept also provides centralized management and development approach for the network selection, network control and data plans. In this paper, different deep learning models and technical processes for the SDN networks have been reviewed.

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

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Title: Deep learning Utilization in SDN Networks: A Review
Author: Shavan Askar, Kosrat Dlshad Ahmed, Shahab Wahhab Kareem
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.5222205
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/754.pdf
Free download: Available
Page: 174-182
First Page: 174
Last Page: 182
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Kosrat Dlshad Ahmed, Shahab Wahhab Kareem (2021). Deep learning Utilization in SDN Networks: A Review. International Journal of Science and Business, 5(6), 174-182. doi: https://doi.org/10.5281/zenodo.5222205

Retrieved from https://ijsab.com/wp-content/uploads/754.pdf

 

About Author (s)

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

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

Shahab Wahhab Kareem, Lecturer, Erbil Polytechnic University, Erbil, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.5222205

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Blockchain systems: analysis, applications, & risks Shavan Askar, Ibrahim Shamal Abdulkhaleq, Shahab Wahhab Kareem

Blockchain systems: analysis, applications, & risks

Author (s)

Shavan Askar, Ibrahim Shamal Abdulkhaleq, Shahab Wahhab Kareem

Abstract

­A basic blockchain system is characterized as the ordered list for the used nodes and links where these nodes are entitled for storing information and chains connect these links. This technology mainly facilitates the development and management of the availability for the publicly available and required resources and ledger of transactions. This technology also supports the development of the cryptocurrency-based operation and performance evaluation for the technological management. This paper has analyzed different components of Blockchain concepts and evaluated the potential development, structural components, risks, applications within the present-day technological world.

 Keywords: Blockchain, Cryptocurrency, Ethereum, database, Blockchain systems.

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Title: Blockchain systems: analysis, applications, & risks
Author: Shavan Askar, Ibrahim Shamal Abdulkhaleq, Shahab Wahhab Kareem
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.5221972
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/753.pdf
Free download: Available
Page: 163-173
First Page: 163
Last Page: 173
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Ibrahim Shamal Abdulkhaleq, Shahab Wahhab Kareem (2021). Blockchain systems: analysis, applications, & risks. International Journal of Science and Business, 5(6), 163-173. doi: https://doi.org/10.5281/zenodo.5221972

Retrieved from https://ijsab.com/wp-content/uploads/753.pdf

About Author (s)

Shavan Askar (Corresponding Author), Assistant Professor, CEO of Arcella Telecom, College of Engineering, Erbil Polytechnic University, Erbil, Iraq. Email shavan.askar@epu.edu.iq.

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

Shahab Wahhab Kareem, Lecturer, Erbil Polytechnic University, Erbil, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.5221972

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SDN Based 5G VANET: A Review Shavan Askar, Glena Aziz Qadir, Tarik A. Rashid

SDN Based 5G VANET: A Review

Author (s)

Shavan Askar, Glena Aziz Qadir, Tarik A. Rashid

Abstract

­After 1G, 2G, 3G, and 4G technologies, 5G is a modern wireless system. 5G provides for the development of a modern form of network which connects virtually everyone and everything including computers, items, vehicles, and smartphones. VANETs marked as a critical infrastructure which can offer a wide range of facilities, including traffic control, accident prevention, and travel ease and comfort. VANETs are now being suggested as a primary enabler of the future fifth generation system, when combined with SDN. Using SDN-Based 5G VANETs Provide low latency, high bandwidth, Longer connectivity without failure, and support a greater number of users. In this paper we will describe how generations are developed and what are the differences between them. The main characteristics of using SDN based 5G VANET are discussed. Also, we describe four main attacks of SDN- VANET on security and security services that provided by SDN based 5G VANET. In addition, challenges and needs of SDN based 5G VANETS will be discussed. Then we will review some literatures then summarize their results. Finally, we will conclude the paper.

 Keywords: 5G, SDN-VANET, performance, security, smartphone.

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Title: SDN Based 5G VANET: A Review
Author: Shavan Askar, Glena Aziz Qadir, Tarik A. Rashid
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.5221874
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/752.pdf
Free download: Available
Page: 148-162
First Page: 148
Last Page: 162
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Glena Aziz Qadir, Tarik A. Rashid (2021). SDN Based 5G VANET: A Review. International Journal of Science and Business, 5(6), 148-162. doi: https://doi.org/10.5281/zenodo.5221874

Retrieved from https://ijsab.com/wp-content/uploads/752.pdf

 

About Author (s)

Shavan Askar (Corresponding Author), Assistant Professor, CEO of Arcella Telecom, College of Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq

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

Tarik A. Rashid, Professor, Computer Science and Engineering, University of Kurdistan Hawler, Erbil, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.5221874

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Deep Learning in IoT systems: A Review Shavan Askar, Chnar Mustafa Mohammed, Shahab Wahhab Kareem

Deep Learning in IoT systems: A Review

Author (s)

Shavan Askar, Chnar Mustafa Mohammed, Shahab Wahhab Kareem

 

Abstract

­The expansion of the internet, along with its interconnection of devices has made it possible to increase the world’s interconnectedness in these days, with the growth in internet connectivity capabilities and quality, a lot of items are interconnected, which means they communicate with each other using new and powerful techniques. Innovative sensor systems are spreading their consumers are strongly connected to the internet. The growth of linked sensors and systems has an incremental impact on the quantity of data. Regardless of its purpose, it is accumulating whole data. The Internet of Things (IoT) has a practical use for industries such as obtaining field data, tracking it and keeping them, all connected. To imitate the human intelligence level, the machine or software is made smarter by using advanced deep learning. In the paper, several diverse types of IoT technologies will be referenced, including intelligent cities, smart health care, mobility networks, and educational systems, among others. In addition, a range of novel deep learning algorithms that were implemented to simplify the intelligent usage of the machines without involving human control has been reviewed and good results of each algorithm in different categories are demonstrated as a table of comparison. This paper gives an overview of the applications that need to combine deep learning to serve IoT applications in an efficient and automated manner.

 Keywords: Internet of Things (IoT), Deep Learning (DL), IoT Applications, Challenges, DL Algorithms, DL Platforms.

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Title: Deep Learning in IoT systems: A Review
Author: Shavan Askar, Chnar Mustafa Mohammed, Shahab Wahhab Kareem
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.5221646
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/751.pdf
Free download: Available
Page: 131-147
First Page: 131
Last Page: 147
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Chnar Mustafa Muhammed, Shahab Wahhab Kareem (2021). Deep Learning in IoT systems: A Review. International Journal of Science and Business, 5(6), 131-147. doi: https://doi.org/10.5281/zenodo.5221646

Retrieved from https://ijsab.com/wp-content/uploads/751.pdf

 

About Author (s)

Shavan Askar (Corresponding Author), Assistant Professor, CEO of Arcella Telecom, College of Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq

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

Shahab Wahhab Kareem, Lecturer, Erbil Polytechnic University, Erbil, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.5221646

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SDN Based Fog Computing: A Review Shavan Askar, Baydaa Hassan Husain, Tarik A. Rashid

SDN Based Fog Computing: A Review

Author (s)

Shavan Askar, Baydaa Hassan Husain, Tarik A. Rashid

Abstract

­

Fog Computing (FC) is a system that connects cloud computing (CC) with the Internet of Things (IoT). It contributes to easier data transfer between cloud and IoT servers as it makes them closer to each other. FC effectively replaces the services, such as applications and information, at or near the cloud. This limits the bandwidth consumption, decreases delay and facilitates maximum network reliability since the data must not be transmitted to its intended destination or travel long distances. While Software Defined Networking (SDN) is a network engineering technique that permits network control and ‘programming’ through software applications in an intelligent and centralized way. It is a technology that provides greater programming and flexibility for networks by the separation of the control plane from the data plane. The software-based networks will respond to changes effectively in CC. The SDN presidency increases the efficiency of network setup and enhances network performance and reporting. To improve network efficiency, SDN can be built into FC. In this paper, we first defined FC and touched on its architecture and benefits, relying on the sources of previous studies. Secondly, we defined SDN and explained its components in detail with its method of operation, its benefits, and its impact on networks, and then we presented the method of combining the SDN with FC and the benefits of that. Finally, after relying on a large number of previous researches, we presented some applications that use these two methods together. The results were all indicating improvement in the work of networks in the various applications that were integrated between SDN and FC.

 Keywords: Fog Computing (FC), Internet of Things (IoT), Software-Defined networking (SDN).

 

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Title: SDN Based Fog Computing: A Review
Author: Shavan Askar, Baydaa Hassan Husain, Tarik A. Rashid
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.5221036
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/750.pdf
Free download: Available
Page: 117-130
First Page: 117
Last Page: 130
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Baydaa Hassan Husain, Tarik A. Rashid (2021). SDN Based Fog Computing: A Review. International Journal of Science and Business, 5(6), 117-130. doi: https://doi.org/10.5281/zenodo.5221036

Retrieved from https://ijsab.com/wp-content/uploads/750.pdf

 

About Author (s)

Shavan Askar (Corresponding Author), Assistant Professor, CEO of Arcella Teleocm, College of Engineering, Erbil Polytechnic University,  Erbil, Iraq. Email: shavan.askar@epu.edu.iq

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

Tarik A. Rashid, Professor, Computer Science and Engineering, University of Kurdistan Hawler, Erbil, Iraq.

 

 

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DOI: https://doi.org/10.5281/zenodo.5221036

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Optimized Electric Power Generation Expansion Planning Using Decomposition Technique Ngang Bassey Ngang, Akaninyene Michael Joshua, Bakare Kazeem & Ezekiel Nnamere Aneke

Optimized Electric Power Generation Expansion Planning Using Decomposition Technique

Author (s)

Ngang Bassey Ngang, Akaninyene Michael Joshua, Bakare Kazeem & Ezekiel Nnamere Aneke

Abstract

­

The decrease in power supply in the country has caused economic problems to small scale industries; one major problem attributed to this is inadequate planning mechanism that will forecast the required amount of power that will be needed to feed the entire population .Power system engineers had used all the conventional methods improve power supply. This issue of not having adequate forecasting mechanism in power generation network that will adequately serve the entire public is overcome by optimized electric power generation expansion planning using decomposition technique, It is achieve in this manner, characterizing the existing output power capacities of the electric power generating plants under study, Forecasting    of the load demand of the power generating plants under study, exterminating of percentage power generating capacity contribution and power generating capacity projected contribution to the National Grid, developing a Model for Decomposition Technique, Integrating SIMULINK Model in the Decomposition Technique. The results obtained are in 2009 the residential power demand by numerous consumers is 8075.00MW and the power demand in ten years is 10214.03MW and the commercial power demand is 2009 is 3865.50MW while the forecast power demand by this sector in ten years’ time when decomposition technique is introduced in the system is 5481.65MW.With these results, it shows that the power demand in ten years’ time is 41.9% generation power expansion.

 Keywords: optimized, electric power generation, power planning, cost saving, decomposition technique.

 

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Title: Optimized Electric Power Generation Expansion Planning Using Decomposition Technique
Author: Ngang Bassey Ngang, Akaninyene Michael Joshua, Bakare Kazeem & Ezekiel Nnamere Aneke
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.5035032
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 16/06/2021
Date of Publication: 26/06/2021
PDF URL: https://ijsab.com/wp-content/uploads/749.pdf
Free download: Available
Page: 94-116
First Page: 94
Last Page: 116
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Ngang Bassey Ngang, Akaninyene Michael Joshua, Bakare Kazeem & Ezekiel Nnamere Aneke  (2021). Optimized Electric Power Generation Expansion Planning Using Decomposition Technique. International Journal of Science and Business, 5(6), 94-116. doi: https://doi.org/10.5281/zenodo.5035032

Retrieved from https://ijsab.com/wp-content/uploads/749.pdf

 

About Author (s)

Ngang Bassey Ngang (Corresponding Author), Enugu State University of Science and Technology (ESUT), Enugu, Nigeria. Email:  nbngang@gmail.com

Akaninyene Michael Joshua, Enugu State University of Science and Technology (ESUT), Enugu, Nigeria.

Bakare Kazeem, Enugu State University of Science and Technology (ESUT), Enugu, Nigeria.

EZEKIEL Nnamere Aneke, Enugu State University of Science and Technology (ESUT), Enugu, Nigeria.

 

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DOI: https://doi.org/10.5281/zenodo.5035032

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The Extent Which Information Technology Contributes to the Quality of Hotel Service Aree Muhammad Ali

The Extent Which Information Technology Contributes to the Quality of Hotel Service

Author (s)

Aree Muhammad Ali

Abstract

­

The quality of hotel services has great importance in contemporary business and hotels, because of the changes that the world has witnessed and the increase in competition between organizations to provide high-quality services. Improving the quality of services is a very important issue as a result of the pressures that most companies face due to the increase in competitors, customer complaints, or the desire to increase sales. In this context, the purpose of the study tended towards analyzing the reality of the use of information technology in improving the level of hotel services by addressing the concept and quality of hotel service and the extent to which the study sample uses these applications from the point of view of the customers of the searched hotels. In addition to clarifying the dimensions of the quality of hotel services to match specifications needed for those services, a structure has been designed according to previous research methodology, assuming there is a correlation affected by the information technology dimension with the quality of hotel services. The researchers found that the interest in the elements and types of quality did not reach the required level, which led to achieving the dimensions of quality. The current study also found that the majority of hotels have a website that is used to obtain information about competing hotels and customers in order to provide better services and thus achieve a competitive advantage. The hotel management’s reliance on bilateral contacts and providing feedback, which is, answering customers’ inquiries and giving them the information they need in order to obtain high-quality hotel services.

 Keywords: information technology, hotel service, quality, competitive advantage.

 

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Title: The Extent Which Information Technology Contributes to the Quality of Hotel Service
Author: Aree Muhammad Ali
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.4983495
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 14/06/2021
Date of Publication: 18/06/2021
PDF URL: https://ijsab.com/wp-content/uploads/748.pdf
Free download: Available
Page: 81-93
First Page: 81
Last Page: 93
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Aree Muhammad Ali (2021). The Extent Which Information Technology Contributes to the Quality of Hotel Service. International Journal of Science and Business, 5(6), 81-93. doi: https://doi.org/10.5281/zenodo.4983495

Retrieved from https://ijsab.com/wp-content/uploads/748.pdf

 

About Author (s)

Aree Muhammad Ali, Technical College of Administration, Duhok PolyTechnic University, Iraq. Email: aree.ali@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4983495

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Performance Evaluation of Different SDN Controllers: A Review Shavan Askar & Faris Keti

Performance Evaluation of Different SDN Controllers: A Review

Author (s)

Shavan Askar & Faris Keti

Abstract

­

The unprecedented growth in internet applications’ requirement makes adopting smart network architectures such as Software Defined Networking inevitable. Software-Defined Networking (SDN) is a new network architecture that separates the tight coupling between the control plane and the data plane that exists in traditional networks. The purpose of this separation is to enhance the controllability, security, and management of network resources. A controller is the core element of any SDN network, since SDN use as an alternative of traditional networks, different controllers have been developed, such as Beacon, Floodlight, RYU, OpenDay Light, ONOS, NOX, and POX. Due to the diversity of SDN applications and the use of controllers, the choice of the best-fitted controller has become an application-dependent process, therefore, this study evaluates different SDN controllers in trem of their effect on the SDN QoS performance. A comparison between the POX and RYU, which are widely used controllers, was conducted. Mininet and Miniedit was utilized as an emulation tool to compare the performance of POX and RYU controllers. For emulation purpose, Mininet, iperf3, ping, and the tested controllers POX and RYU were ran on the emulation machine that comes with the following specifications; Intel ® Core™ i5-6200 U CPU @ 2.30 GHz × 2 (2 cores) and 4 GB RAM with Ubuntu 14.04 LTS-64-bit operating system. An evaluation for both scenarios, POX and RYU, was conducted to invetiage the performance in term of QoS parameters, namely  Throughput, Round-Trip Time, and Jitter using TCP, UDP, and ICMP traffic. The obtained results show that RYU controller performed better compared to POX controller, whereas, the RYU controller recorded 1.24% to 5.35% higher average throughput. In addition, RYU controller obtained 0.5 to 1 ms less delay and around 0.02 ms less jitter values than its counterpart POX controller.

 Keywords: software-defined networking, controllers, POX controller, RYU controller, Mininet, QoS.

 

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Title: Performance Evaluation of Different SDN Controllers: A Review
Author: Shavan Askar & Faris Keti
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.4742771
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 05/04/2021
Date of Publication: 07/05/2021
PDF URL: https://ijsab.com/wp-content/uploads/747.pdf
Free download: Available
Page: 67-80
First Page: 67
Last Page: 80
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar & Faris Keti (2021). Performance Evaluation of Different SDN Controllers: A Review. International Journal of Science and Business, 5(6), 67-80. doi: https://doi.org/ 10.5281/zenodo.4742771

Retrieved from https://ijsab.com/wp-content/uploads/747.pdf

 

About Author (s)

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

Faris Keti, Electrical and Computer Engineering, College of Engineering, University of Duhok,  Duhok, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.4742771

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Virtual Reality as a Tool for Electrical Machines Assembling and Testing Salim Mahdi & Erhan Akin

Virtual Reality as a Tool for Electrical Machines Assembling and Testing

Author (s)

Salim Mahdi & Erhan Akin

Abstract

­

This study introduces, describes, and illustrates a practical application of a virtual training tool for electrical engineering education. Users can interact with and manipulate 3D models of authentic devices using this tool. Users can compare structural differences between devices, assemble and disassemble machines, and test them under extreme conditions, which is not possible when working with a real device. The three-dimensional devices are fully functional, allowing users to interact with them on all levels, including impact analysis of supply conditions.

 Keywords: Virtual Reality, Training Tool, Electrical Machines, Oculus Go.

 

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Title: Virtual Reality as a Tool for Electrical Machines Assembling and Testing
Author: Salim Mahdi & Erhan Akin
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.4709807
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 21/04/2021
Date of Publication: 22/04/2021
PDF URL: https://ijsab.com/wp-content/uploads/746.pdf
Free download: Available
Page: 59-66
First Page: 59
Last Page: 66
Paper Type: Project review
Current Status: Published

 

Cite This Article:

Salim Mahdi & Erhan Akin (2021). Virtual Reality as a Tool for Electrical Machines Assembling and Testing. International Journal of Science and Business, 5(6), 59-66. doi: https://doi.org/10.5281/zenodo.4709807

Retrieved from https://ijsab.com/wp-content/uploads/746.pdf

 

About Author (s)

Salim Mahdi (corresponding author), Computer Engineering Department, Firat University, Elazig, Turkey. Email: salimmahdi8082@gmail.com

Erhan Akin, Computer Engineering Department, Firat University, Elazig, Turkey.

 

 

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DOI: https://doi.org/10.5281/zenodo.4709807

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Implementation of Quality Control System Using Magnetic Image Sensor Ahmed Saeed Mohammed & Erhan AKIN

Implementation of Quality Control System Using Magnetic Image Sensor

Author (s)

Ahmed Saeed Mohammed & Erhan AKIN

Abstract

­

This paper depicts an overview and special technique for the recognition, detection, and measuring of the quality of magnetic on materials. It is based on the Hall Effect principle of and signal converter. The board is small but it gives good results in addition to ease of use, less cost, and low power. The magnetic field emitted from the material to be checked is converted to a visual spectrum. This means that magnetic fields can now be seen in real-time, the magnetic sensors used on the tile are some of the most highly sensitive. Visualizing things that are very difficult to normally seen. Because there is so much around that just cannot easily perceive, and how much more important bits of science we would be able to get done if only could easily see them as naturally as seeing things like color. Magnetic field detection in an object into a two-dimensional image will make that important and very useful especially with low cost, power, and easy to use, unlike some costly sensors.

 Keywords: sensor, dipole, flux, quality, magnetic field, magnetic imaging.

 

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Title: Implementation of Quality Control System Using Magnetic Image Sensor
Author: Ahmed Saeed Mohammed & Erhan AKIN
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.4705324
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 17/04/2021
Date of Publication: 20/04/2021
PDF URL: https://ijsab.com/wp-content/uploads/745.pdf
Free download: Available
Page: 45-58
First Page: 45
Last Page: 58
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Ahmed Saeed Mohammed & Erhan AKIN (2021). Implementation of Quality Control System Using Magnetic Image Sensor. International Journal of Science and Business, 5(6), 45-58. doi: https://doi.org/10.5281/zenodo.4705324

Retrieved from https://ijsab.com/wp-content/uploads/745.pdf

 

About Author (s)

Ahmed Saeed Mohammed (Corresponding author), Computer Engineering Department, Faculty of Engineering, Firat University, Elazig, Turkey. Email: ahmed.saeed@uoz.edu.krd

Professor Erhan AKIN, Computer Engineering Department, Faculty of Engineering, Firat University, Elazig, Turkey.

 

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DOI: https://doi.org/10.5281/zenodo.4705324

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The Impact of Test Case Generation Methods on the Software Performance: A Review Dathar A. Hasan, Bzar Kh. Hussan, Subhi R. M. Zeebaree, Dindar M. Ahmed, Omar S. Kareem & Mohammed A. M. Sadeeq

The Impact of Test Case Generation Methods on the Software Performance: A Review

Author (s)

Dathar A. Hasan, Bzar Kh. Hussan, Subhi R. M. Zeebaree, Dindar M. Ahmed, Omar S. Kareem & Mohammed A. M. Sadeeq

Abstract

­

The software development in different fields leads to increase the requirements for effective, efficient and complicated software. Due to the huge amounts of software requirements, it is possible some errors to occur in the certain part of the programs and this means a real challenge for the software producer. The need for an effective test system is necessary for designing reliable programs and avoiding the errors that may appear during the software product. In this review, many techniques are discussed for the process of generating test cases which are a group of conditions that determine whether the designed programs are able to satisfy the user’s requirements or not. Fuzzy logic utilizes an operational profile in the process of allocating test case to improve the software quality, as well as the design of fault propagation path to predicts the software defects during the test operation, also the automatic generation for PLC test cases that produce a new track through the program code in order to minimize the test cases needed for large size program.

 Keywords: Software test, test case, program evaluation, reliable software system, test suite.

 

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Title: The Impact of Test Case Generation Methods on the Software Performance: A Review
Author: Dathar A. Hasan, Bzar Kh. Hussan, Subhi R. M. Zeebaree, Dindar M. Ahmed, Omar S. Kareem & Mohammed A. M. Sadeeq
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.4623940
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 13/03/2021
Date of Publication: 19/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/744.pdf
Free download: Available
Page: 33-44
First Page: 33
Last Page: 44
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Dathar A. Hasan, Bzar Kh. Hussan, Subhi R. M. Zeebaree , Dindar M. Ahmed, Omar S. Kareem & Mohammed A. M. Sadeeq (2021). The Impact of Test Case Generation Methods on The Software Performance: A Review. International Journal of Science and Business, 5(6), 33-44. doi: https://doi.org/10.5281/zenodo.4623940

Retrieved from https://ijsab.com/wp-content/uploads/744.pdf

 

About Author (s)

Dathar A. Hasan (corresponding author), Duhok Polytechnic University, Shekhan Technical Institute, Kurdistan Region, Duhok, Iraq. Email: dathar.hasan@dpu.edu.krd

Bzar Kh. Hussan, Erbil Polytechnic University, Kurdistan Region, Iraq.

Subhi R. M. Zeebaree, Duhok Polytechnic University, Kurdistan Region, Duhok, Iraq.

Dindar M. Ahmed, Duhok Polytechnic University, Kurdistan Region, Duhok, Iraq.

Omar S. Kareem, Duhok Polytechnic University, Kurdistan Region, Duhok, Iraq.

Mohammed A. M.Sadeeq, Duhok Polytechnic University, Kurdistan Region, Duhok, Iraq.

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DOI: https://doi.org/10.5281/zenodo.4623940

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A Comparative Study of Detect Brain Tumor Based on K-Means and Fuzzy C-Means Algorithms Noor Salah Hassan & Nawzat Sadiq Ahmed

A Comparative Study of Detect Brain Tumor Based on K-Means and Fuzzy C-Means Algorithms

Author (s)

Noor Salah Hassan & Nawzat Sadiq Ahmed

Abstract

­

The detection of the tumor region in medical images such as (MRI, CT, X-Ray) a boring and time-consuming task is by radiologists or experts. So, in this review the accuracy is needed for detection the tumor. The area of medical imaging is also reducing complexity and improving diagnostic precision with the growth of information technology. This review paper makes a comparison between the k-mean, and fuzzy c-mean algorithms to display the results and accuracy of them to detection the brain tumor. The execution of the k-mean algorithm is based on centroid, size, split process, threshold, epoch, characteristics, and number of iterations, while Fuzzy C-mean is executed on the basis of the fuzziness value and the termination condition in medical images. In comparing the efficiency parameters with the state-of-the-art processes, the experimental outcomes demonstrate the importance of medical images (MRI, CT and X-Ray) and the accuracy of each algorithm that have been discussed.

 Keywords: Brain Tumor, Medical Images, Pre-processing, Segmentation, Feature Extraction, K- means.

 

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Title: A Comparative Study of Detect Brain Tumor Based on K-Means and Fuzzy C-Means Algorithms
Author: Noor Salah Hassan & 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.4596362
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 07/03/2021
Date of Publication: 11/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/743.pdf
Free download: Available
Page: 21-32
First Page: 21
Last Page: 32
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Noor Salah Hassan & Nawzat Sadiq Ahmed (2021). A Comparative Study of Detect Brain Tumor Based on K-Means and Fuzzy C-Means Algorithms. International Journal of Science and Business, 5(6), 21-32. doi: https://doi.org/10.5281/zenodo.4596362

Retrieved from https://ijsab.com/wp-content/uploads/743.pdf

 

About Author (s)

Noor Salah Hassan (corresponding author), Department of Information Technology, Akre Technical Collage, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. Email:  noor.salah.hassan6@gmail.com

Nawzat Sadiq Ahmed, Department of Information Technology, Technical Collage 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.4596362

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A comparison study: Classification brain tumor based on Support Vector Machine and K-Nearest Neighbors Shler Farhad Khorshid & Nawzat Sadiq Ahmed

A comparison study: Classification brain tumor based on Support Vector Machine and K-Nearest Neighbors

Author (s)

Shler Farhad Khorshid & Nawzat Sadiq Ahmed

Abstract

­

Brain tumor is one of the commonest tumors. For the diagnosis of this disease, automated detection and classification are crucial. Magnetic resonance imaging (MRI) is a unique sort of imaging which is utilized for detecting these tumors and categorizing them as benign or malignant using special algorithms such as of K-Nearest Neighbors (K-NN) and Support Vector Machine (SVM). The classification of brain tumors through imaging can be divided into four phases: pre-processing, extraction, segmentation and classification. This paper reviews some recent studies that highlight the efficacy of K-NN and SVM accuracies in classifying brain MRI images as normal or abnormal, benign or malignant.

 Keywords: brain tumor, Magnetic resonance imaging (MRI), classification, SVM, K-NN.

 

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Title: A comparison study: Classification brain tumor based on Support Vector Machine and K-Nearest Neighbors
Author: Shler Farhad Khorshid & 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.4590054
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 05/03/2021
Date of Publication: 09/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/742.pdf
Free download: Available
Page: 12-20
First Page: 12
Last Page: 20
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shler Farhad Khorshid & Nawzat Sadiq Ahmed (2021). A comparison study: Classification brain tumor based on Support Vector Machine and K-Nearest Neighbors. International Journal of Science and Business, 5(6), 12-20. doi: https://doi.org/10.5281/zenodo.4590054

Retrieved from https://ijsab.com/wp-content/uploads/742.pdf

 

About Author (s)

Shler Farhad Khorshid (corresponding author), Information Technology Department, Akre Technical College of Informatics, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: Shler.sulayvani@gmail.com

Nawzat Sadiq Ahmed, Information Technology Management, 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.4590054

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Evaluating Students Feedback Towards Teachers Performance on E-learning Sarbast H. Ali, Sardar Omar Salih, Arman Ismael Mohammed & Omer Mohammed Salih Hassan

Evaluating Students Feedback Towards Teachers Performance on E-learning

Author (s)

Sarbast H. Ali, Sardar Omar Salih, Arman Ismael Mohammed & Omer Mohammed Salih Hassan

Abstract

­

Internet use in the Kurdistan region of Iraq has grown dramatically and has become an essential element of our daily lives, with hundred ISPs on hand and constantly increasing number of users by using e-learning platforms. The need for feedback is deeply linked to student participation and peer evaluation. It is also an issue of evaluation quality; how many feedbacks is made available, how they are given to students, how they are accepted by students, and to how much they are integrated into future instruction and learning. In this paper, three instruments, documentation, interviews and questionnaires were carried out to collect the data. Documentation was used to know the experiences of the students during classroom teaching and learning. The data were collected from the system application on our website. The data were called documentation. A survey is conducted comparing the feedback received from students on e-learning courses at the Duhok Polytechnic University (DPU), with the results of analyzed 100 teachers’ e-learning courses in the Covid-19 period in 2020. Eighteen questions have been asked to 7709 students in 14 technical faculties (6 colleges and 8 institutes) at DPU. The students’ responses were classified to the questions related to teachers’ experiences on preparing courses, students’ interactions, using available e-learning tools and methods. A review has been made on (100) teachers’ courses in the Moodle platform as LMS (learning management systems) to reveal their course preparation, experiences on using available technologies. Our results showed 34.92% of participant students satisfied with e-learning, this means that 65.08% of students preferred face-to-face learning (in class), regarding the trustiness of feedback, reviewed courses and students’ responses which were significantly mismatched. This means that student feedback is not entirely reliable in the learning process.

 Keywords: E-learning, feedback, questionnaires, teacher experiences, survey.

 

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Title: Evaluating Students Feedback Towards Teachers Performance on E-learning
Author: Sarbast H. Ali, Sardar Omar Salih, Arman Ismael Mohammed & Omer Mohammed Salih Hassan
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.4588538
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 03/03/2021
Date of Publication: 08/02/2021
PDF URL: https://ijsab.com/wp-content/uploads/741.pdf
Free download: Available
Page: 1-11
First Page: 1
Last Page: 11
Paper Type: Research Paper
Current Status: Published

 

Cite This Article:

Sarbast H. Ali, Sardar Omar Salih, Arman Ismael Mohammed & Omer Mohammed Salih Hassan (2021). Evaluating Students Feedback Towards Teachers Performance on E-learning. International Journal of Science and Business, 5(6), 1-11. doi: https://doi.org/10.5281/zenodo.4588538

Retrieved from https://ijsab.com/wp-content/uploads/741.pdf

 

About Author (s)

Sarbast H. Ali (corresponding author), Information Technology Department, Duhok Polytechnic University (DPU), Duhok, Iraq.  Email: sarbast.ali@dpu.edu.krd

Sardar Omar Salih, Information Technology Department, Duhok Technical Institute, Duhok Polytechnic University (DPU), Duhok, Iraq.

Arman Ismael Mohammed, Information Technology Department, Duhok Polytechnic University (DPU), Duhok, Iraq.

Omer Mohammed Salih Hassan, Information Technology Department, Duhok Polytechnic University (DPU), Duhok, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.4588538