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Optimizing Fresh Logistics Distribution Route Based on Improved Ant Colony Algorithm

Computers, Materials & Continua 2022年第10期73卷 2079-2095页

作者： Daqing Wu Ziwei Zhu Dong Hu romany fouad mansour College of Economics and Management Shanghai Ocean UniversityShanghai201306China Nanchang Institute of Technology Nanchang330044China Shanghai Jianqiao College Shanghai201306China Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Karaga72511Egypt

With the rapid development of the fresh cold chain logistics distribution and the prevalence of low carbon concept,this paper proposed an optimization model of low carbon fresh cold chain logistics distribution route considering customer satisfaction,and combined with time,space,weight,distribution rules and other constraints to optimize the distribution *** the same time,transportation cost,penalty cost,overloading cost,carbon tax cost and customer satisfaction were considered as the components of the objective function,and the thought of cost efficiency was taken into account,so as to establish a distribution model based on the ratio of minimum total cost to maximum satisfaction as the objective ***,the improved A∗algorithm and ant colony algorithm were used to construct the model *** the simulation analysis results of different calculation examples,the effectiveness,efficiency and correctness of the design of the single target low-carbon fresh agricultural products cold chain model by using the improved ant colony algorithm were verified.

关键词： Carbon tax cost vehicle routing problem cold chain ant colony algorithm

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Dynamic Intelligent Supply-Demand Adaptation Model Towards Intelligent Cloud Manufacturing

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Computers, Materials & Continua 2022年第8期72卷 2825-2843页

作者： Yanfei Sun Feng Qiao Wei Wang Bin Xu Jianming Zhu romany fouad mansour Jin Qi School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing210003China College of Automation&College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing210003China Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Karaga72511Egypt

As a new mode and means of smart manufacturing,smart cloud manufacturing(SCM)faces great challenges in massive supply and demand,dynamic resource collaboration and intelligent *** address the problem,this paper proposes an SCM-oriented dynamic supply-demand(SD)intelligent adaptation model for massive manufacturing *** this model,a collaborative network model is established based on the properties of both the supply-demand and their relationships;in addition,an algorithm based on deep graph clustering(DGC)and aligned sampling(AS)is used to divide and conquer the large adaptation domain to solve the problem of the slow computational speed caused by the high complexity of spatiotemporal search in the collaborative network *** the same time,an intelligent supply-demand adaptation method driven by the quality of service(QoS)is established,in which the experiences of adaptation are shared among adaptation subdomains through deep reinforcement learning(DRL)powered by a transfer mechanism to improve the poor adaptation results caused by dynamic *** results show that the model and the solution proposed in this paper can performcollaborative and intelligent supply-demand adaptation for themassive and dynamic resources in SCM through autonomous learning and can effectively performglobal supply-demand matching and optimal resource allocation.

关键词： Smart Cloud Manufacturing supply and demand sides dynamic adaptation Deep Graph Clustering transfer learning reinforcement learning

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An Intelligent Approach for Intrusion Detection in Industrial Control System

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Computers, Materials & Continua 2023年第11期77卷 2049-2078页

作者： Adel Alkhalil Abdulaziz Aljaloud Diaa Uliyan Mohammed Altameemi Magdy Abdelrhman Yaser Altameemi Aakash Ahmad romany fouad mansour Department of Information and Computer Science College of Computer Science and EngineeringUniversity of Ha’ilHa’il81481Saudi Arabia Applied College University of Ha’ilHa’il81481Saudi Arabia College of Education New Valley UniversityEl-Kharga72511Egypt College of Art University of Ha’ilHa’il81481Saudi Arabia School of Computing and Communications Lancaster UniversityLeipzig04109Germany College of Science New Valley UniversityEl-Kharga72511Egypt

Supervisory control and data acquisition(SCADA)systems are computer systems that gather and analyze real-time data,distributed control systems are specially designed automated control system that consists of geographically distributed control elements,and other smaller control systems such as programmable logic controllers are industrial solid-state computers that monitor inputs and outputs and make logic-based *** recent years,there has been a lot of focus on the security of industrial control *** to the advancement in information technologies,the risk of cyberattacks on industrial control system has been drastically *** they are so inextricably tied to human life,any damage to them might have devastating *** provide an efficient solution to such problems,this paper proposes a new approach to intrusion ***,the important features in the dataset are determined by the difference between the distribution of unlabeled and positive data which is deployed for the learning ***,a prior estimation of the class is proposed based on a support vector *** results show that the proposed approach has better anomaly detection performance than existing algorithms.

关键词： Industrial control system anomaly detection intrusion detection system protection

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Using Genetic Algorithm for Identification of Diabetic Retinal Exudates in Digital Color Images

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Journal of Intelligent Learning Systems and Applications 2012年第3期4卷 188-198页

作者： romany fouad mansour Department of Science and Mathematics Faculty of Education Assiut University Assiut Egypt.

Blood vessels in ophthalmoscope images play an important role in diagnosis of some serious pathology on retinal images. Hence, accurate extraction of vessels is becoming a main topic of this research area. In this paper, a new hybrid approach called the (Genetic algorithm and vertex chain code) for blood vessel detection. And this method uses geometrical parameters of retinal vascular tree for diagnosing of hypertension and identified retinal exudates automatically from color retinal images. The skeletons of the segmented trees are produced by thinning. Three types of landmarks in the skeleton must be detected: terminal points, bifurcation and crossing points, these points are labeled and stored as a chain code. Results of the proposed system can achieve a diagnostic accuracy with 96.0% sensitivity and 98.4% specificity for the identification of images containing any evidence of retinopathy.

关键词： Diabetic Retinal Genetic Algorithm Chain Code Vessel Detection Fundus Image

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