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APN Model for Specification of the Communication Protocols in Multi-Agent System

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Journal of Software Engineering and Applications 2013年第9期6卷 14-22页

作者： marzougui borhen Kamel Barkaoui NejibBen Hadj Alouane Emirates College of Technology Abu Dhabi UAE Nationnal des Arts et Métiers Paris France OASIS National Engineering School of Tunis Tunis Tunisia.

This paper deals with the proposal of a new model based on Agent Petri Nets (APN) to specify interactions among agents in Multi Agents System (MAS). Indeed, an agent approach requires a powerful and expressive formalism that allows him to model the behavior of a set of agents that interact. We are modeling some variants of FIPA standard protocols. Our Models are found based on communicating cognitive agents. Each Agent is capable of perceiving their environment partly and building, sending and receiving messages.

关键词： Model AP MAS formalism Interact FIFA Protocols

Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil

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Plant Phenomics 2020年第1期2卷 378-388页

作者： Afef marzougui Yu Ma Rebecca J.McGee Lav R.Khot Sindhuja Sankaran Department of Biological Systems Engineering Washington State UniversityPullmanWAUSA Department of Horticulture Washington State UniversityPullmanWAUSA United States Department of Agriculture-Agricultural Research Service Grain Legume Genetics and Physiology Research UnitWashington State UniversityPullmanWAUSA

Phenomics technologies allow quantitative assessment of phenotypes across a larger number of plant genotypes compared to traditional phenotyping *** utilization of such technologies has enabled the generation of multidimensional plant traits creating big ***,to harness the power of phenomics technologies,more sophisticated data analysis methods are *** this study,Aphanomyces root rot(ARR)resistance in 547 lentil accessions and lines was evaluated using Red-Green-Blue(RGB)images of *** created a dataset of 6,460 root images that were annotated by a plant breeder based on the disease *** approaches,generalized linear model with elastic net regularization(EN)and convolutional neural network(CNN),were developed to classify disease resistance categories into three classes:resistant,partially resistant,and *** results indicated that the selected image features using EN models were able to classify three disease categories with an accuracy of up to 0:91±0:004(0:96±0:005 resistant,0:82±0:009 partially resistant,and 0:92±0:007 susceptible)compared to CNN with an accuracy of about 0:84±0:009(0:96±0:008 resistant,0:68±0:026 partially resistant,and 0:83±0:015 susceptible).The resistant class was accurately detected using both classification ***,partially resistant class was challenging to detect as the features(data)of the partially resistant class often overlapped with those of resistant and susceptible ***,the findings provided insights on the use of phenomics techniques and machine learning approaches to provide quantitative measures of ARR resistance in lentil.

关键词： classify Elastic roots

Deep Transfer Learning Based Detection and Classification of Citrus Plant Diseases

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Computers, Materials & Continua 2023年第7期76卷 895-914页

作者： Shah Faisal Kashif Javed Sara Ali Areej Alasiry Mehrez marzougui Muhammad Attique Khan Jae-Hyuk Cha Department of Robotics and Artificial Intelligence SMME NUSTIslamabadPakistan College of Computer Science King Khalid UniversityAbha61413Saudi Arabia Department of Computer Science HITEC UniversityTaxilaPakistan Department of Computer Science Hanyang UniversitySeoul04763Korea

Citrus fruit crops are among the world’s most important agricultural products,but pests and diseases impact their cultivation,resulting in yield and quality *** vision and machine learning have been widely used to detect and classify plant diseases over the last decade,allowing for early disease detection and improving agricultural *** paper presented an automatic system for the early detection and classification of citrus plant diseases based on a deep learning(DL)model,which improved accuracy while decreasing computational *** most recent transfer learning-based models were applied to the Citrus Plant Dataset to improve classification *** transfer learning,this study successfully proposed a Convolutional Neural Network(CNN)-based pre-trained model(EfficientNetB3,ResNet50,MobiNetV2,and InceptionV3)for the identification and categorization of citrus plant *** evaluate the architecture’s performance,this study discovered that transferring an EfficientNetb3 model resulted in the highest training,validating,and testing accuracies,which were 99.43%,99.48%,and 99.58%,*** identifying and categorizing citrus plant diseases,the proposed CNN model outperforms other cuttingedge CNN model architectures developed previously in the literature.

关键词： Citrus diseases classification deep learning transfer learning efficientNetB3 mobileNetV2 ResNet50 InceptionV3

A Trailblazing Framework of Security Assessment for Traffic Data Management

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Intelligent Automation & Soft Computing 2023年第8期37卷 1853-1875页

作者： Abdulaziz Attaallah Khalil al-Sulbi Areej Alasiry Mehrez marzougui Neha Yadav Syed Anas Ansar Pawan Kumar Chaurasia Alka Agrawal Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Al-Qunfudah Computer CollegeUmm Al-Qura UniversityMeccaSaudi Arabia College of Computer Science King Khalid UniversityAbha61421Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Computer Applications Babu Banarasi Das UniversityLucknow226028Uttar PradeshIndia

Connected and autonomous vehicles are seeing their dawn at this *** provide numerous benefits to vehicle owners,manufacturers,vehicle service providers,insurance companies,*** vehicles generate a large amount of data,which makes privacy and security a major challenge to their *** complicated machine-led mechanics of connected and autonomous vehicles increase the risks of privacy invasion and cyber security violations for their users by making them more susceptible to data exploitation and vulnerable to cyber-attacks than any of their *** could have a negative impact on how well-liked CAVs are with the general public,give them a poor name at this early stage of their development,put obstacles in the way of their adoption and expanded use,and complicate the economic models for their future *** the other hand,congestion is still a bottleneck for traffic management and *** research paper presents a blockchain-based framework that protects the privacy of vehicle owners and provides data security by storing vehicular data on the blockchain,which will be used further for congestion detection and *** devices placed along the road are used to communicate with passing cars and collect their *** collected data will be compiled periodically to find the average travel time of vehicles and traffic density on a particular road ***,this data will be stored in the memory pool,where other devices will also store their *** a predetermined amount of time,the memory pool will be mined,and data will be uploaded to the blockchain in the form of blocks that will be used to store traffic *** information is then used in two different ***,the blockchain’s final block will provide real-time traffic data,triggering an intelligent traffic signal system to reduce ***,the data stored on the blockchain will provide historical,statistical data that can facilitate the

关键词： Connected and autonomous vehicles(CAVs) traffic data management ethereum blockchain road side units smart cities

Evaluation of biogenic markers-based phenotyping for resistance to Aphanomyces root rot in field pea

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Information Processing in Agriculture 2022年第1期9卷 1-10页

作者： Afef marzougui Abirami Rajendran D.Scott Mattinson Yu Ma Rebecca J.McGee Manuel Garcia-Perez Stephen P.Ficklin Sindhuja Sankaran Department of Biological Systems Engineering Washington State UniversityPullmanWAUnited States Department of Horticulture Washington State UniversityPullmanWAUnited States United States Department of Agriculture-Agricultural Research Service Grain Legume Genetics and Physiology Research UnitWashington State UniversityPullmanWAUnited States

Biogenic volatile organic compounds(VOCs)emitted by plants can reveal information about plant adaptation,defense processes,and biological ***,such VOC data may be utilized to capture phenotypic plant responses to the *** this study,the main objective was to evaluate the potential of biogenic compounds,including VOCs,to phenotype two pea cultivars,Ariel(susceptible)and Hampton(high levels of partial resistance)for resistance to Aphanomyces root rot *** were monitored non-destructively for VOC emission at three-time points(15,20,and 30 days after inoculation,DAI)using dynamic headspace sampling with gas chromatography-flame ionization detec-tion(GC-FID)system,as well as destructively at the end of the experiments,using solvent extraction and pyrolysis of both shoot and root tissues.A non-inoculated control(mock-inoculated with distilled water)was utilized to compare the plant responses within a *** common chemical peaks between control and inoculated samples of both culti-vars(RT_(cm))were analyzed after normalizing the relative peak intensity of inoculated samples with those of control samples,prior to a comparison between *** addi-tion,unique chemical peaks(RT_(uq))present in inoculated samples,but not in control sam-ples were also identified and their relative peak intensities were *** the released green leaf volatiles(RT_(cm)),the normalized relative peak intensity of hexanal emis-sion,at 20 DAI,was higher in Ariel than that of *** addition,several putative chemical peaks(both RT_(cm) and RT_(uq)),previously known as indicators for disease response,exhibited some differences in their emission rates between pea cultivars in at least one of the time *** destructive sampling revealed that shoot samples produced more putative unique biomarkers(RT_(uq))than the root *** on the differences in puta-tive chemical peaks between cultivars,this initial study supports the concept of utilizat

关键词： Plant breeding Pulse crop Volatile organic compounds Plant phenotyping Biotic stress

Agent Petri Nets Framework for Modeling Staphylococcus epidermidis Biofilm Formation

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E-Health Telecommunication Systems and Networks 2016年第1期5卷 19-30页

作者： Borhan marzougui Kamel Barkaoui Mohamed Amine Makni Information Technology Department ECT Abu Dhabi United Arab Emirates CNAM Paris France National Bone-Marrow Transplantation Center of Tunis Tunis Tunisia

This Staphylococcus epidermidis has been discovered as the most frequent germ detected during indwelling medical devices infection. This fact is well attached with the ability of this bacterium to form structured layered population known as biofilm. Inside S. epidermidis biofilm, bacterial cells present more different behavior than in their planktonic counterpart. This paper describes the thriving application of Petri net theory for modeling of interaction between different regulations actors leading S. epidermidis to switch from Planctonik to Biofilm. Indeed this biologic system is very sensible and has dangerous effect. We propose Agent Petri Nets model to describe and analyze the process of formation of Biofilm molecule. This model presents a formal framework based on Multi Agents system characteristics.

关键词： Staphylococcus epidermidis Biofilm Petri Net Modeling Agent

Security Test Case Prioritization through Ant Colony Optimization Algorithm

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Computer Systems Science & Engineering 2023年第12期47卷 3165-3195页

作者： Abdulaziz Attaallah Khalil al-Sulbi Areej Alasiry Mehrez marzougui Mohd Waris Khan Mohd Faizan Alka Agrawal Dhirendra Pandey Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Al-Qunfudah Computer CollegeUmm Al-Qura UniversityMeccaSaudi Arabia College of Computer Science King Khalid UniversityAbha61421Saudi Arabia Department of Computer Application Integral UniversityLucknowUttar Pradesh226026India Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknowUttar Pradesh226025India

Security testing is a critical concern for organizations worldwide due to the potential financial setbacks and damage to reputation caused by insecure software *** of the challenges in software security testing is test case prioritization,which aims to reduce redundancy in fault occurrences when executing test *** effectively applying test case prioritization,both the time and cost required for developing secure software can be *** paper proposes a test case prioritization technique based on the Ant Colony Optimization(ACO)algorithm,a metaheuristic *** performance of the ACO-based technique is evaluated using the Average Percentage of Fault Detection(APFD)metric,comparing it with traditional *** has been applied to a Mobile Payment Wallet application to validate the proposed *** results demonstrate that the proposed technique outperforms the traditional techniques in terms of the APFD *** ACO-based technique achieves an APFD of approximately 76%,two percent higher than the second-best optimal ordering *** findings suggest that metaheuristic-based prioritization techniques can effectively identify the best test cases,saving time and improving software security overall.

关键词： Confidentiality integrity authentication non-repudiation resilience authorization Ant Colony Optimization algorithm