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تكنولوجيا المعلومات • تكنولوجيا المعلومات

3 إجمالي البحوث
4 إجمالي الاستشهادات
2025 أحدث نشر
1 أنواع المنشورات
عرض 3 بحث
2025
3 بحث
Hashim Kareem Z.; Qais Malik R.; Jawad S.; Abedi F.
IEEE Access , Vol. 13, pp. 79314-79330
3 استشهاد Article Open Access English ISSN: 21693536
Al-Mustaqbal University, College of Engineering and Technologies, Medical Instrumentation Technique Engineering Department, Babylon, Hillah, 51001, Iraq; Al-Mustaqbal University, College of Sciences, Department of Cyber Security, Babylon, Hillah, 51001, Iraq; Najaf Technical Institute, Al-Furat Al-Awsat Technical University, Kufa, Najaf, 54003, Iraq
Mobile IoT networks face major problems in completing efficient task offloading and allocating resources effectively, as all major actions require ample energy consumption and service delays. This paper proposes a solution in the form of a reinforcement learning-based framework that is capable of dynamically optimizing these activities with the help of Group Relative Policy Optimization (GRPO). The new method outcompetes traditional heuristic-nometric methods by being able to adjust device inactivity, network activity, and available resources. Devices are structured into mobility groups and task offloading is defined as Markov Decision Process (MDP). An ample amount of offloading strategies can be obtained by introducing declaration of tasks and corresponding computers, network throughput, and queueing delays. Additionally, GRPO aids in the allocation of computing power, network bandwidth, or storage to maximize resource allocation without breaking task deadlines and other resource limitations. Comparing the GRPO-based method to traditional methods via simulation showed increased performance and reduced service delay. The results clearly demonstrate that GRPO helps reduce service delay and consumption of energy significantly in high load with high dynamism conditions. With the inclusion of decision-making processes along with constraint-tolerance and reinforcement learning, this research aids in IoT frameworks that require low energy output with less delay. The recommended method helps build a strong base for efficient task delegation alongside increased performance and scalability, which subsequently enhances AI edge computing and smart management of IoT systems. © 2013 IEEE.
الكلمات المفتاحية: deep reinforcement learning fog computing group relative policy optimization resource allocation Task offloading
Nahi H.A.; Majed Mousa A.; Akeel Hamed E.; Khalid Ali A.; Jawad S.; Mahdi Abdulkadium A.; Salman R.A.
Data and Metadata , Vol. 4
1 استشهاد Article Open Access English ISSN: 29534917
Computer Center, Al Qasim Green University, Babylon, 51013, Iraq; College of Physical Education and Sport Sciences, Al Qasim Green University, Babylon, 51013, Iraq; Department of Cyber Security, College of Sciences, Al-Mustaqbal University, Babylon, 51001, Iraq
Quantum Key Distribution (QKD) provides an state-of-the-art solution that work toward to enhance security of network and performance contrast to conventional systems. This paper focal point on the utilize of QKD to authorize secure orchestration and authorize network functions virtualization (NFV). The QKD-based solution is contrast with presenting solutions utilizing applying science and security KPIs. The outcomes display that the QKD solution exceed conventional solutions, with throughput stretch out 250 Mbit/s contrast to 150 Mbit/s, and response time of 4 ms versus 10 ms. The bit error rate (BER) registered a notable depletion to 1,2e-10 contrast to 1,8e-9, and an interception rate of 0 % against 5 % in conventional systems was attained. The work as well appears that the time wanted to distribute quantum keys is at most 4 ms, with a key exchange success rate of 99,8 %. The model also give a demonstration of peak attack resistance with 100 successfully blocked hacking attempts registered. in spite of an extra 10ms data encryption processing time and a small 3 % throughput effect, the general performance remainder marvelous with a network function deployment time of 150ms and only 0,1 % packet loss. These measure reveal the efficacy of QKD in enhancing the security and efficiency of virtual networks. The paper give empirical perceptions to hold up the implementation of quantum security techniques in time ahead network infrastructures. © 2025; Los autores.
الكلمات المفتاحية: NFV NSO QKD Quantum Algorithms SDN
Al-Janabi I.M.K.; Jawad S.; Al-Mammori Z.A.; Alaaraji F.H.; Aziz D.H.; Abbas G.H.
Archives for Technical Sciences , Vol. 2 (33), pp. 47-64
Article Open Access English ISSN: 18404855
Building and Construction Techniques Engineering Department, College of Engineering and Engineering Techniques, Al-Mustaqbal University, Babylon, Iraq; Al-Mustaqbal University, Babylon, Iraq; Babylon Technical Institute, College of Engineering, Babylon, Iraq; University of Babylon, College of Engineering, Babylon, Iraq; Department of Prosthetics and Orthotics Engineering, College of Engineering and Engineering Technologies, Al-Mustaqbal University, Babylon, Iraq
Careful control of the structural makeup of urban places is necessary to maintain their distinctive character while advancing sustainability. A successful approach to this problem is striking a balance between homogeneity and variability in order to provide an urban landscape that is both coherent and dynamic. In the past, homogeneity—which is defined by uniformity and is frequently connected to well-organized and visually appealing spaces—has been valued in urban planning. However, an excessive amount of homogeneity in urban areas and architectural styles could undermine a city's cohesiveness while restricting artistic freedom. Nonetheless, it has been shown that preserving a fundamental diversity of forms and functions can strengthen a city's resilience to changes. Fabric ratios of voids and volumes have been assessed using Cellular Automata investigations at different magnifications in places including Barcelona, Rome, and Hillah, revealing patterns of both independence and synchronization. These datadriven analyses make it easier to develop customized updates that target markets that lack distinctiveness. Others, meantime, flourish on fostered multiplicity, where creativity and social connections liberally support one another. Desired levels of homogeneity can be achieved through various interventions, such as zoning laws that support compact urban forms, green space efforts, and strategic development projects. By incorporating sustainability principles into urban design, these measures seek to create balanced environments that meet the needs of local residents while preserving the authentic character of urban areas. © 2025, Technical institute of Bijeljina. All rights reserved.
الكلمات المفتاحية: autonomous cells (ca) built-up areas heterogeneity homogeneity human scale open spaces sustainability sustainable constructions