scispace - formally typeset
Search or ask a question
Author

Jehan S. Ahmed

Bio: Jehan S. Ahmed is an academic researcher from University of Fallujah. The author has contributed to research in topics: Defuzzification & Fuzzy number. The author has an hindex of 2, co-authored 6 publications receiving 126 citations.

Papers
More filters
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: 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: 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

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

Journal ArticleDOI
TL;DR: In this article, a fuzzy goal programming (GP) model was developed to improve agricultural crop production, leading to increased agricultural benefits (more tons of produce per acre) based on the minimization of the main resources (water, fertilizer, and pesticide) to determine the weight in the objectives function subject to different constraints.
Abstract: The need to increase agricultural production has become a challenging task for most countries. Generally, many resource factors affect the deterioration of production level, such as low water level, desertification, soil salinity, low on capital, lack of equipment, the impact of export and import of crops, lack of fertilizers, pesticide, and the ineffective role of agricultural extension services which are significant in this sector. The main objective of this research is to develop fuzzy goal programming (GP) model to improve agricultural crop production, leading to increased agricultural benefits (more tons of produce per acre) based on the minimization of the main resources (water, fertilizer, and pesticide) to determine the weight in the objectives function subject to different constraints (land area, irrigation, labor, fertilizer, pesticide, equipment, and seed). Fuzzy GP (FGP) and GP were utilized to solve multi-objective decision-making (MODM) problems. From the results, this research has successfully presented a new alternative method that introduced multi-interval weights in solving a multi-objective FGP and GP model problem in a fuzzy manner, in the current uncertain decision-making environment for the agricultural sector. The significance of this research lies in the fact that some of the farming zones have resource limitations while others adversely impact their environment due to misuse of resources.

3 citations


Cited by
More filters
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