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Author

Ibrahim Zeghaiton Chaloob

Other affiliations: Universiti Utara Malaysia
Bio: Ibrahim Zeghaiton Chaloob is an academic researcher from University of Fallujah. The author has contributed to research in topics: Fuzzy logic & Fuzzy number. The author has an hindex of 3, co-authored 7 publications receiving 130 citations. Previous affiliations of Ibrahim Zeghaiton Chaloob include Universiti Utara Malaysia.

Papers
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Journal ArticleDOI
TL;DR: The aim of the researcher was to determine the effectiveness of artificial intelligence techniques against cyber security risks particularly in case of Iraq and the quantitative method of research design along with primary data was opted.

144 citations

Journal ArticleDOI
TL;DR: A novel approach to defuzzify fuzzy numbers using a modification of center of gravity COG method with multi-objective linear programming (LP) model to find the appropriate crisp value that satisfies all relationships and minimise the distance among this value and all values in the interval of fuzzy numbers.

34 citations

Journal ArticleDOI
TL;DR: The adaptive Joint Photographic Experts Group 2000 (JPEG2000) image compression approach employing the wavelet image transform had proposed with the rise of the optimized Video Internet of Things (VIoT) using image transmission security using Elliptic Curve Cryptography (ECC) techniques as discussed by the authors .

31 citations

Journal ArticleDOI
TL;DR: This study presents a new insight into multi-interval weights to solve linear multi-objective fuzzy GP problems by introducing interval weights associated with unwanted deviational variables to realise the aspired goal levels of the problem.
Abstract: Goal programming (GP) is an effective method to solve linear multi-objective problems. However, the determination of weights for GP is still of much concern. Hence, this study presents a new insight into multi-interval weights to solve linear multi-objective fuzzy GP problems. In the proposed approach, multi-interval weights that enable fuzzy goals to achieve their aspired levels based on their relative importance are considered in an uncertain environment. In formulating the model of the problem, the membership functions for each fuzzy goal are initially defined. Then, these functions are transformed into membership goals by assigning the highest membership value (optimal weight) and introducing under- and over-deviational variables to each. In the solution process, the interval weights (derived from a pairwise interval judgment matrix) associated with unwanted deviational variables are introduced to the goal achievement function with the objective of minimisation, and thus, realise the aspired goal levels of the problem. To illustrate the proposed approach, a numerical example is solved with real weights, which were collected through questionnaires. A better result is obtained with regard to optimal solution when the interval is divided into sub intervals, which also shows better result than that of the main interval under any matrix comparing weights.

6 citations

Proceedings ArticleDOI
22 Nov 2017
TL;DR: New insights are presented of solving the same problem by a defuzzification approach that is able to produce specific optimal solutions of the objective functions in specified intervals.
Abstract: The multi-objective programming problem with fuzzy parameters can be solved by interval programming (IVP) approach which produces the optimal solutions in interval form. However, this paper presents new insights of solving the same problem by a defuzzification approach that is able to produce specific optimal solutions. In the proposed defuzzification approach, the linear programming model is used as an approximation technique to defuzzify fuzzy numbers in the objectives and constraints. In the model formulation, the interval of fuzzy numbers is employed to convert the problem into the standard goal programming problem. As a result, specific optimal solutions of the objective functions are obtained in the specified intervals instead of only in form of intervals as the final solutions. A numerical example is used to illustrate the proposed approach.

5 citations


Cited by
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Journal ArticleDOI
TL;DR: The aim of the researcher was to determine the effectiveness of artificial intelligence techniques against cyber security risks particularly in case of Iraq and the quantitative method of research design along with primary data was opted.

144 citations

Journal ArticleDOI
TL;DR: There is a need for cybersecurity because it defines the body of processes, technologies, and practices in terms of how they are designed to help protect various programs, devices, networks, and data from the malicious persons who perform unauthorized access and damage these resources.

139 citations

Journal ArticleDOI
TL;DR: In this paper , the authors explore the current research problems using the 5G technology, and propose the novel architecture for smart healthcare systems using 5G and Industry 4.0 standards using the Network Simulator (NS2) to investigate the current 5G methods.
Abstract: The emergence of the Industry 4.0 revolution to upgrade the Internet of Things (IoT) standards provides the prominence outcomes for the future wireless communication systems called 5G. The development of 5G green communication systems suffers from the various challenges to fulfill the requirement of higher user capacity, network speed, minimum cost, and reduced resource consumption. The use of 5G standards for Industry 4.0 applications will increase data rate performance and connected device's reliability. Since the arrival of novel Covid-19 disease, there is a higher demand for smart healthcare systems worldwide. However, designing the 5G communication systems has the research challenges like optimum resource utilization, mobility management, cost-efficiency, interference management, spectral efficiency, etc. The rapid development of Artificial Intelligence (AI) across the different formats brings performance enhancement compared to conventional techniques. Therefore, introducing the AI into 5G standards will optimize the performances further considering the various end-user applications. We first present the survey of the terms like 5G standard, Industry 4.0, and some recent works for future wireless communications. The purpose is to explore the current research problems using the 5G technology. We further propose the novel architecture for smart healthcare systems using the 5G and Industry 4.0 standards. We design and implement that proposed model using the Network Simulator (NS2) to investigate the current 5G methods. The simulation results show that current 5G methods for resource management and interference management suffer from the challenges like performance trade-offs.

58 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed energy efficiency and quality-aware multi-hop one-way cooperative image transmission framework based on image pre-processing technique, wavelet-based two-dimensional discrete wavelet transform (2D-DWT) methodology, and decode-and-forward (DF) algorithm at relay nodes.
Abstract: We propose energy efficiency and quality-aware multi-hop one-way cooperative image transmission framework based on image pre-processing technique, wavelet-based two-dimensional discrete wavelet transform (2D-DWT) methodology, and decode-and-forward (DF) algorithm at relay nodes. The different cooperative communication methods that demonstrated their viability in various ways were reviewed. However, there are a few more issues that should be tended to while managing superb image transmission in WSNs, for example, extreme vitality utilization while preparing to proceed with image transmit, to achieve the broadcast between picture quality, and intensity of image transmitted. Before presenting the proposed model, this presents the review of recent and conventional techniques for cooperative image transmission.

51 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a survey and discus on explanation of cyber security, smart cities, and survey of available relevant literature on security in that technology, which focuses on the four main components of a smart city, i.e. smart grid, smart building, smart transportation system, and smart healthcare.

41 citations