International Journal of Communication Networks and Information Security (IJCNIS)最新文献_第3页

Intelligent agents Model with JADE for scheduling analysis and correction of Real-Time Systems 基于JADE的实时系统调度分析与校正智能代理模型

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-06-06 DOI: 10.17762/ijcnis.v15i1.5762

Walid Karamti, Imad Al-Sgir

{"title":"Intelligent agents Model with JADE for scheduling analysis and correction of Real-Time Systems","authors":"Walid Karamti, Imad Al-Sgir","doi":"10.17762/ijcnis.v15i1.5762","DOIUrl":"https://doi.org/10.17762/ijcnis.v15i1.5762","url":null,"abstract":"This research proposes a new model for analyzing and correcting non-schedulable partitions in real-time multiprocessor systems, specifically in the context of fault tolerance in distributed networks. The need for such a model arises from current techniques for correcting non-schedulable partitions that must be revised and repartitioning all tasks across processors. The proposed model is based on intelligent agents and implemented using the JADE platform. The model consists of (1) a supervisor agent in the first layer that distributes tasks and manages system correction when a non-schedulable partition is detected; and (2) a second layer composed of partition agents that analyze schedulability, request corrections, and negotiate with the supervisor for additional tasks to correct the entire system. The effectiveness of the proposed model is demonstrated through a case study. Quantitative analysis shows that the proposed model improves fault tolerance in distributed systems and has the potential for further enhancement by adding communicative tasks, heterogeneous processors, and other improvements.","PeriodicalId":413010,"journal":{"name":"International Journal of Communication Networks and Information Security (IJCNIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128220485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of user behavioral intentions based on structural equation modelling in AI painting cognitive conditions AI绘画认知条件下基于结构方程建模的用户行为意图预测

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-06-06 DOI: 10.17762/ijcnis.v15i1.5788

Junping Xu, Chaemoon Yoo, Younghwan Pan

{"title":"Prediction of user behavioral intentions based on structural equation modelling in AI painting cognitive conditions","authors":"Junping Xu, Chaemoon Yoo, Younghwan Pan","doi":"10.17762/ijcnis.v15i1.5788","DOIUrl":"https://doi.org/10.17762/ijcnis.v15i1.5788","url":null,"abstract":"The in-depth development of AI painting cognitive technology and the intelligent algorithm has made user intention analysis a hot spot in user research and also made the problem of willingness prediction the focus of psychology and economics. The original user intention method cannot solve the problem of user intention judgment under massive data, and the prediction accuracy of behaviour intention needs to be higher. Therefore, this paper proposes a structural variance model to analyze the user's behaviour willingness under the cognitive conditions of AI painting. Firstly, AI painting cognition is used to analyze user behaviour data, behaviour classification is carried out according to AI painting mental conditions, and irrelevant user intention data is deleted. Then, according to the user behaviour data classification results, it is compared with the previous user willingness analysis method. The different behaviour willingness domains are deeply excavated to output the behaviour willingness with a higher probability. MATLAB shows that the PLS-SEM structural equation model can improve the accuracy of user intention prediction; the accuracy rate reaches 86.5%, shorten the prediction time of user behaviour, and control it within 15 seconds to meet the needs of user behaviour prediction.","PeriodicalId":413010,"journal":{"name":"International Journal of Communication Networks and Information Security (IJCNIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134117605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Digital Museum System Based on Optimized Virtual Reality Technology 基于优化虚拟现实技术的数字博物馆系统设计

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-06-06 DOI: 10.17762/ijcnis.v15i1.5885

Dan Liu

{"title":"Design of Digital Museum System Based on Optimized Virtual Reality Technology","authors":"Dan Liu","doi":"10.17762/ijcnis.v15i1.5885","DOIUrl":"https://doi.org/10.17762/ijcnis.v15i1.5885","url":null,"abstract":"Although China's cultural characteristics were diverse, its museum supply is limited. Traditional institutions would be unable to meet the people's needs for culture dissemination, historic preservation, cultural exchange, and science and research in history's era of the internet. By utilizing VR Technology in the field of furniture decorating, a new viewpoint and method for the development of a virtual museum are unveiled. Using optimum VR Technology in museum exhibition design based on the ideas of architecture, atmospheric art, light settings, coloring style, and ecological design, humans may be presented with natural and cultural heritages. The advancement of completely separate HTML text languages, QuickTime Virtual Reality innovation, Interactive Virtual Model-based Linguistic, three-dimensional (3D) applications, and data interaction systems for the exhibition has done result from an inquiry into virtual reality's history, definition, application, and present state. Ultimately, the planned work's effectiveness is analyzed and compared to other related projects to maximize its efficacy. Using the Origins software, the results of this study are shown.","PeriodicalId":413010,"journal":{"name":"International Journal of Communication Networks and Information Security (IJCNIS)","volume":"52 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120855188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on Network Virtual Printing Sculpture Design using Artificial Intelligence 基于人工智能的网络虚拟印刷雕塑设计研究

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-05-30 DOI: 10.17762/ijcnis.v15i1.5694

Wei Xu, Veerawat Sirivesmas

{"title":"Study on Network Virtual Printing Sculpture Design using Artificial Intelligence","authors":"Wei Xu, Veerawat Sirivesmas","doi":"10.17762/ijcnis.v15i1.5694","DOIUrl":"https://doi.org/10.17762/ijcnis.v15i1.5694","url":null,"abstract":"Sculptures are visionaries of a country’s culture from time immemorial. Chinese sculptures hold an aesthetic value in the global market, catalysed by opening the country's gates. On the other hand, this paved the way for many duplicates and replicates of the original sculptures, defaming the entire artwork. This work proposes a defrauding model that deploys a Siamese-based Convolutional Neural Network (S-CNN) that effectively detects the mimicked sculpture images. Nevertheless, adversarial attacks are gaining momentum, compromising the deep learning models to make predictions for faked or forged images. The work uses a Simplified Graph Convolutional Network (SGCN) to misclassify the adversarial images generated by the Fast Gradient Sign Method (FGSM) to combat this attack. The model's training is done with adversarial images of the Imagenet dataset. By transfer learning, the model is rested for its efficacy in identifying the adversarial examples of the Chinese God images dataset. The results showed that the proposed model could detect the generated adversarial examples with a reasonable misclassification rate.","PeriodicalId":413010,"journal":{"name":"International Journal of Communication Networks and Information Security (IJCNIS)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133339395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HaLow Wi-Fi performance in multiusers and channels environment with MATLAB Simulink HaLow Wi-Fi性能在多用户和信道环境与MATLAB Simulink

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-05-26 DOI: 10.17762/ijcnis.v15i1.5487

Fatima Faydhe, Majida Saud Ibrahim, Kamal Y. Kamal

引用次数: 1

Tom and Jerry Based Multipath Routing with Optimal K-medoids for choosing Best Clusterhead in MANET 基于最优k -介质的多径路由在MANET中选择最佳簇头

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-05-26 DOI: 10.17762/ijcnis.v15i1.5707

V. G. Krishnan, K. Sankar, M. Saradhi, K. H. Priya, V. Vijayaraja

{"title":"Tom and Jerry Based Multipath Routing with Optimal K-medoids for choosing Best Clusterhead in MANET","authors":"V. G. Krishnan, K. Sankar, M. Saradhi, K. H. Priya, V. Vijayaraja","doi":"10.17762/ijcnis.v15i1.5707","DOIUrl":"https://doi.org/10.17762/ijcnis.v15i1.5707","url":null,"abstract":"Given the unpredictable nature of a MANET, routing has emerged as a major challenge in recent years. For effective routing in a MANET, it is necessary to establish both the route discovery and the best route selection from among many routes. The primary focus of this investigation is on finding the best path for data transmission in MANETs. In this research, we provide an efficient routing technique for minimising the time spent passing data between routers. Here, we employ a routing strategy based on Tom and Jerry Optimization (TJO) to find the best path via the MANET's routers, called Ad Hoc On-Demand Distance Vector (AODV). The AODV-TJO acronym stands for the suggested approach. This routing technique takes into account not just one but three goal functions: total number of hops. When a node or connection fails in a network, rerouting must be done. In order to prevent packet loss, the MANET employs this rerouting technique. Analyses of AODV-efficacy TJO's are conducted, and results are presented in terms of energy use, end-to-end latency, and bandwidth, as well as the proportion of living and dead nodes. Vortex Search Algorithm (VSO) and cuckoo search are compared to the AODV-TJO approach in terms of performance. Based on the findings, the AODV-TJO approach uses 580 J less energy than the Cuckoo search algorithm when used with 500 nodes.","PeriodicalId":413010,"journal":{"name":"International Journal of Communication Networks and Information Security (IJCNIS)","volume":"376 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134263504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on the implantation and dissemination strategy of short creative advertising videos in the new media era 新媒体时代创意短广告视频植入与传播策略研究

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-05-26 DOI: 10.17762/ijcnis.v15i1.5713

Eryong Liu, Yifei Li

{"title":"Research on the implantation and dissemination strategy of short creative advertising videos in the new media era","authors":"Eryong Liu, Yifei Li","doi":"10.17762/ijcnis.v15i1.5713","DOIUrl":"https://doi.org/10.17762/ijcnis.v15i1.5713","url":null,"abstract":"Interconnections and communication between people in social media enhance the information dissemination. This is leveraged by the business firms by using the social media as advertising platform for their products, brands and services. As interactive multimedia is more captivating than other media forms, the short and creative advertising videos are recently used as effective marketing tool. This work proposes a framework that taps the features of the video advertisements along with social networking properties like network clusters and network degree to determine the transmission and retransmission of video between primary and secondary level clusters. The degradation in retransmission is estimated using the connections and their influence computed as connection coefficient between the nodes. The proposed framework is validated on Facebook advertisement videos by assessing its efficacy in dissemination and implementation of the products. The detailed experimentation reveals that the proposed model is much effective in determining the dissemination and implementation of the video content with the average mean square error of 0.24. The work is robust and versatile, that it could be deployed to other social media networks by customising the estimation of transmission and retransmission rate.","PeriodicalId":413010,"journal":{"name":"International Journal of Communication Networks and Information Security (IJCNIS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133315578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Alzheimer Disease using LeNet-CNN model with Optimal Adaptive Bilateral Filtering 基于最优自适应双侧滤波的LeNet-CNN模型预测阿尔茨海默病

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-05-26 DOI: 10.17762/ijcnis.v15i1.5706

V. Krishnan, Pinagadi Venkateswara Rao, M. Saradhi, K. Sathyamoorthy, V. Vijayaraja

{"title":"Prediction of Alzheimer Disease using LeNet-CNN model with Optimal Adaptive Bilateral Filtering","authors":"V. Krishnan, Pinagadi Venkateswara Rao, M. Saradhi, K. Sathyamoorthy, V. Vijayaraja","doi":"10.17762/ijcnis.v15i1.5706","DOIUrl":"https://doi.org/10.17762/ijcnis.v15i1.5706","url":null,"abstract":"Alzheimer's disease is a kind of degenerative dementia that causes progressively worsening memory loss and other cognitive and physical impairments over time. Mini-Mental State Examinations and other screening tools are helpful for early detection, but diagnostic MRI brain analysis is required. When Alzheimer's disease (AD) is detected in its earliest stages, patients may begin protective treatments before permanent brain damage has occurred. The characteristics of the lesion sites in AD affected role, as identified by MRI, exhibit great variety and are dispersed across the image space, as demonstrated in cross-sectional imaging investigations of the disease. Optimized Adaptive Bilateral filtering using a deep learning model was suggested as part of this study's approach toward this end. Denoising the pictures with the help of the suggested adaptive bilateral filter is the first stage (ABF). The ABF improves denoising in edge, detail, and homogenous areas separately. After then, the ABF is given a weight, and the Adaptive Equilibrium Optimizer is used to determine the best possible value for that weight (AEO). LeNet, a CNN model, is then used to complete the AD organization. The first step in using the LeNet-5 network model to identify AD is to study the model's structure and parameters. The ADNI experimental dataset was used to verify the suggested technique and compare it to other models. The experimental findings prove that the suggested method can achieve a classification accuracy of 97.43%, 98.09% specificity, 97.12% sensitivity, and 89.67% Kappa index. When compared against competing algorithms, the suggested model emerges victorious.","PeriodicalId":413010,"journal":{"name":"International Journal of Communication Networks and Information Security (IJCNIS)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113956261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of Deep Convolutional Neural Network with the Integrated Batch Normalization and Global pooling 集成批归一化和全局池化的深度卷积神经网络优化

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-05-26 DOI: 10.17762/ijcnis.v15i1.5617

Priyanga K K, S. S.

{"title":"Optimization of Deep Convolutional Neural Network with the Integrated Batch Normalization and Global pooling","authors":"Priyanga K K, S. S.","doi":"10.17762/ijcnis.v15i1.5617","DOIUrl":"https://doi.org/10.17762/ijcnis.v15i1.5617","url":null,"abstract":"Deep convolutional neural networks (DCNN) have made significant progress in a wide range of applications in recent years, which include image identification, audio recognition, and translation of machine information. These tasks assist machine intelligence in a variety of ways. However, because of the large number of parameters, float manipulations and conversion of machine terminal remains difficult. To handle this issue, optimization of convolution in the DCNN is initiated that adjusts the characteristics of the neural network, and the loss of information is minimized with enriched performance. Minimization of convolution function addresses the optimization issues. Initially, batch normalization is completed, and instead of lowering neighborhood values, a full feature map is minimized to a single value using the global pooling approach. Traditional convolution is split into depth and pointwise to decrease the model size and calculations. The optimized convolution-based DCNN's performance is evaluated with the assistance of accuracy and occurrence of error. The optimized DCNN is compared with the existing state-of-the-art techniques, and the optimized DCNN outperforms the existing technique.","PeriodicalId":413010,"journal":{"name":"International Journal of Communication Networks and Information Security (IJCNIS)","volume":"17 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121016994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using Minimum Connected Dominating Set for Mobile sink path planning in Wireless Sensor Networks 基于最小连通支配集的无线传感器网络移动汇聚路径规划

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2023-05-26 DOI: 10.17762/ijcnis.v15i1.5810

Anas Abu Taleb

引用次数: 0