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An Approximation Algorithm for Vertex Cover Problem

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An Approximation Algorithm for Vertex Cover Problem

Performance Analysis of Adjusted Counter Based Broadcasting in Mobile Ad Hoc Networks

2012 International Conference on Computer Networks and Communication Systems(CNCS 2012)

作者： yaser khamayseh Wail Mardini Anas Shatnawi Computer Science Department Faculty of Computer and Information Technology Jordan University of Science and TechnologyIrbid 22110 Jordan

An emerging problem in wireless sensors network is the need to increase the network life *** a network with two power modes,this goal can be achieved by choosing the minimum number of sensors that have high power mode （long range radio） in the service *** vertex cover assist in organizing clusters and determine the cluster head to save power and ensure that all sensors in the network are accessible by the cluster heads,The minimum （optimal） number of vertices （sensors） problem is ***,a near-optimal solution to the problem can be obtained by an approximation algorithm that solves the problem in polynomial *** this paper,we propose a new algorithm for minimizing the number of node that represents the wireless sensor with high transition power,thus we minimize the power consumption of the wireless sensor network and prolong the network life time.

关键词： Sensor Networks Vertex Cover Problem Approximation Algorithms

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Communications and Network 2013年第4期5卷 353-359页

作者： Muneer Bani Yassein Balqees Abd Hameed Wail Mardini yaser khamayseh Department of Computer Science Jordan University of Science and Technology Irbid Jordan

Mobile Ad Hoc Network (MANET) is a reliable system formed by co-operating and independent nodes that connect and communicate with each other wirelessly without pre-existing infrastructure. In such a network, the easiest way to broadcast the packets to all network nodes is flooding. However, flooding leads to serious drawbacks such as collision, contention and redundant retransmission. These drawbacks are known as the broadcast storm problem. This research proposes an adaptive algorithm in order to decrease the overall network overhead and minimize the problems associated to flooding. Moreover this research concentrates on studying the effect of using different mobility models that provide general idea about nodes movement, status and locations. In particular the performance of Random Waypoint and File mobility models in terms of their effect on network communication is evaluated. Moreover, this research provides performance evaluation of different traffic types such as Constant Bit Rate (CBR) and Traffic GEN. Results from Qualnet simulations have revealed that the new proposed algorithm outperforms flooding in terms of different metrics: reducing end-to-end delay in addition to minimizing the normalized routing load and maximizing the packets delivery ratio, in addition to concluding that Traffic GEN outperforms the CBR in terms of throughput. Moreover the CBR traffic has higher delay values than Traffic GEN.

关键词： MANETs Mobility Routing Protocol Mobility Models

Dynamic optimal allocation of energy storage systems integrated within photovoltaic based on a dual timescale dynamics model

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Global Energy Interconnection 2024年第4期7卷 415-428页

作者： Kecun Li Zhenyu Huang Youbo Liu yaser Qudaih Junyong Liu College of Electrical Engineering Sichuan UniversityChengdu 610065P.R.China Department of Electrical engineering Higher Colleges of TechnologyAbu DhabiUAE

Energy storage systems(ESSs)operate as independent market participants and collaborate with photovoltaic(PV)generation units to enhance the flexible power supply capabilities of PV ***,the dynamic variations in the profitability of ESSs in the electricity market are yet to be fully *** study introduces a dual-timescale dynamics model that integrates a spot market clearing(SMC)model into a system dynamics(SD)model to investigate the profit-aware capacity growth of ESSs and compares the profitability of independent energy storage systems(IESSs)with that of an ESS integrated within a PV(PV-ESS).Furthermore,this study aims to ascertain the optimal allocation of the ***,SD and SMC models were set ***,the SMC model simulated on an hourly timescale was incorporated into the SD model as a subsystem,a dual-timescale model was ***,a development simulation and profitability analysis was conducted from 2022 to 2040 to reveal the dynamic optimal range of PV-ESS ***,negative electricity prices were considered during clearing *** simulation results revealed differences in profitability and capacity growth between IESS and PV-ESS,helping grid investors and policymakers to determine the boundaries of ESSs and dynamic optimal allocation of PV-ESSs.

关键词： Optimal allocation Profitability analysis Photovoltaic Energy storage system Dual timescale dynamics model Spot market clearing

A Lightweight Intrusion Detection System Using Convolutional Neural Network and Long Short-Term Memory in Fog Computing

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Computers, Materials & Continua 2024年第9期80卷 4703-4728页

作者： Hawazen Alzahrani Tarek Sheltami Abdulaziz Barnawi Muhammad Imam Ansar yaser Computer Engineering Department Interdisciplinary Research Center of Smart Mobility and LogisticsKing Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Computer Engineering Department Interdisciplinary Research Center for Intelligent Secure SystemsKing Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Transportation Research Institute(IMOB) Hasselt UniversityHasselt3500Belgium

The Internet of Things(IoT)links various devices to digital services and significantly improves the quality of our ***,as IoT connectivity is growing rapidly,so do the risks of network vulnerabilities and *** interesting Intrusion Detection Systems(IDSs)are presented based on machine learning(ML)techniques to overcome this *** the resource limitations of fog computing environments,a lightweight IDS is *** paper introduces a hybrid deep learning(DL)method that combines convolutional neural networks(CNN)and long short-term memory(LSTM)to build an energy-aware,anomaly-based *** test this system on a recent dataset,focusing on reducing overhead while maintaining high accuracy and a low false alarm *** compare CICIoT2023,KDD-99 and NSL-KDD datasets to evaluate the performance of the proposed IDS model based on key metrics,including latency,energy consumption,false alarm rate and detection rate *** findings show an accuracy rate over 92%and a false alarm rate below 0.38%.These results demonstrate that our system provides strong security without excessive resource *** practicality of deploying IDS with limited resources is demonstrated by the successful implementation of IDS functionality on a Raspberry Pi acting as a Fog *** proposed lightweight model,with a maximum power consumption of 6.12 W,demonstrates its potential to operate effectively on energy-limited devices such as low-power fog nodes or edge *** prioritize energy efficiency whilemaintaining high accuracy,distinguishing our scheme fromexisting *** experiments demonstrate a significant reduction in false positives,ensuring accurate identification of genuine security threats while minimizing unnecessary alerts.

关键词： Intrusion detection fog computing CNN LSTM energy consumption

Optimal Number of Relays in Cooperative Communication in Wireless Sensor Networks

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Research on Interpolation Method for Missing Electricity Consumption Data

Communications and Network（通讯与网络） 2012年第2期

作者： Wail Mardini yaser khamayseh Shorouq Al-Eide

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Computers, Materials & Continua 2024年第2期78卷 2575-2591页

作者： Junde Chen Jiajia Yuan Weirong Chen Adnan Zeb Md Suzauddola yaser A.Nanehkaran Department of Electronic Commerce Xiangtan UniversityXiangtan411105China School of Information Engineering Yancheng Teachers UniversityYancheng224000China Department of Information and Electrical Engineering Ningde Normal UniversityNingde352100China College of Engineering Southern University of Science and TechnologyShenzhen518005China School of Informatics Xiamen UniversityXiamen361005China

Missing value is one of the main factors that cause dirty *** high-quality data,there will be no reliable analysis results and precise ***,the data warehouse needs to integrate high-quality data *** the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss *** the problem of missing electricity consumption data,this study proposes a group method of data handling(GMDH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity ***,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data *** missing data are randomly interpolated within the upper and lower ***,the GMDH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption *** last,this process is implemented iteratively until the missing values do not *** a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete ***,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.

关键词： Data interpolation GMDH electricity consumption data distribution system

Towards Improving the Quality of Requirement and Testing Process in Agile Software Development:An Empirical Study

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Computers, Materials & Continua 2024年第9期80卷 3761-3784页

作者： Irum Ilays yaser Hafeez Nabil Almashfi Sadia Ali Mamoona Humayun Muhammad Aqib Ghadah Alwakid University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Software Engineering College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia School of Arts Humanities and Social Sciences University of RoehamptonLondonSW155PJUK Department of Computer Science College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia

Software testing is a critical phase due to misconceptions about ambiguities in the requirements during specification,which affect the testing ***,it is difficult to identify all faults in *** requirement changes continuously,it increases the irrelevancy and redundancy during *** to these challenges;fault detection capability decreases and there arises a need to improve the testing process,which is based on changes in requirements *** this research,we have developed a model to resolve testing challenges through requirement prioritization and prediction in an agile-based *** research objective is to identify the most relevant and meaningful requirements through semantic analysis for correct change *** compute the similarity of requirements through case-based reasoning,which predicted the requirements for reuse and restricted to error-based ***,the apriori algorithm mapped out requirement frequency to select relevant test cases based on frequently reused or not reused test cases to increase the fault detection ***,the proposed model was evaluated by conducting *** results showed that requirement redundancy and irrelevancy improved due to semantic analysis,which correctly predicted the requirements,increasing the fault detection rate and resulting in high user *** predicted requirements are mapped into test cases,increasing the fault detection rate after changes to achieve higher user ***,the model improves the redundancy and irrelevancy of requirements by more than 90%compared to other clustering methods and the analytical hierarchical process,achieving an 80%fault detection rate at an earlier ***,it provides guidelines for practitioners and researchers in the modern *** the future,we will provide the working prototype of this model for proof of concept.

关键词： Requirement prediction software testing agile software development semantic analysis case-based reasoning

Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems

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Computers, Materials & Continua 2024年第6期79卷 5031-5049页

作者： Marya Iqbal yaser Hafeez Nabil Almashfi Amjad Alsirhani Faeiz Alserhani Sadia Ali Mamoona Humayun Muhammad Jamal University Institute of Information Technology PMAS-Arid Agriculture UniversityRawalpindiPakistan Department of Software Engineering College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Science College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Engineering&Networks College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaAl Jouf72388Saudi Arabia Department of Mathematics Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindiPakistan

Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software ***,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity *** paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of *** the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and ***,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient *** experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in *** digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.

关键词： Machine Learning variability management cybersecurity digital ecosystems cyber-resilience

Surveying organic matter， thermal maturity level， and paleo-environmental conditions by considering biomarker and stable carbon isotopic analysis

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Journal of Earth Science 2024年

作者： Meysam Hemmati yaser Ahmadi Behzad Vaferi Ali Hosin Alibak David A.Wood DWA Energy Limited School of Geology， College of Science， University of Tehran Petroleum Engineering Department， Faculty of Engineering， Soran University Department of Chemical Engineering， Shiraz Branch， Islamic Azad University Chemical and Petroleum Engineering Department， Ilam University

Biomarker and stable carbon isotope analyses are presented for the Garau formation of the Cretaceous age， an important source rock in western Iran， to reveal its potential as an oil-prone source rock. The C28/C29sterane ratio value range (0.72 to 0.83) of bitumen samples from the formation suggests that they were likely formed during phytoplankton blooms. Sterane， hopane， and isoprenoid/n-alkane ratios indicate that the formation’s organic matter predominantly consists of algae， and bacteria， accompanied by some reworked material derived from higher plants. Due to the predominance of anoxic conditions and the actions of sulfate-reducing bacteria， the bitumen present is enriched with sulfur compounds. The percentages of saturates， aromatics， and nitrogen-sulfur-oxygen (NSO) fractions in the bitumen samples classify them as naphthenic oils. Isotope analysis reveals that biodegradation and water-washing have reduced the concentrations of some volatile saturates and low molecular weight aromatics in the bitumen samples. These actions have resulted in distinctive δ13C values for the formation’s kerogen and bitumen fractions. The formation’s organic matter has been subjected to high-temperature thermal regimes and has entered the oil-generation window at the sampled localities， with vitrinite reflectance (%RC) varying between 0.7% and 0.75%.

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