J. Interconnect. Networks最新文献_第8页

Multimodal Emotion Recognition and State Analysis of Classroom Video and Audio Based on Deep Neural Network 基于深度神经网络的课堂音视频多模态情感识别与状态分析

J. Interconnect. Networks Pub Date : 2022-02-09 DOI: 10.1142/s0219265921460117

Mingyong Li, Mingyue Liu, Zhengbo Jiang, Zongwei Zhao, Jiayan Zhang, Mingyuan Ge, Huiming Duan, Yanxia Wang

引用次数: 3

Privacy Preserving with Modified Grey Wolf Optimization Over Big Data Using Optimal K Anonymization Approach 基于最优K匿名化方法的大数据隐私保护改进灰狼优化

J. Interconnect. Networks Pub Date : 2022-02-09 DOI: 10.1142/s0219265921410395

S. Sai Kumar, Anumala Reethika Reddy, B. S. Krishna, Dr.J.Nageswara Rao, A. Kiran

{"title":"Privacy Preserving with Modified Grey Wolf Optimization Over Big Data Using Optimal K Anonymization Approach","authors":"S. Sai Kumar, Anumala Reethika Reddy, B. S. Krishna, Dr.J.Nageswara Rao, A. Kiran","doi":"10.1142/s0219265921410395","DOIUrl":"https://doi.org/10.1142/s0219265921410395","url":null,"abstract":"An optimal approach to anonymization using small data is proposed in this study. Map Reduce is a big data processing framework used across distributed applications. Prior to the development of a map reduce framework, data are distributed and clustered using a hybrid clustering algorithm. The algorithm used for grouping together similar techniques utilises the k-means clustering algorithm, along with the MFCM clustering algorithm. Clustered data is then fed into the map reduce frame work after it has been clustered. In order to guarantee privacy, the optimal k anonymization method is recommended. When using generalisation and randomization, there are two techniques that can be employed: K-anonymity, which is unique to each, depends on the type of the quasi identifier attribute. Our method replaces the standard k anonymization process by employing an optimization algorithm that dynamically determines the optimal k value. This algorithm uses the Modified Grey Wolf Optimization (MGWO) algorithm for optimization. The memory, execution time, accuracy, and error value are used to assess the recommended method’s practise. This experiment has shown that the suggested method will always finish ahead of the existing method by using the least amount of time while ensuring the greatest level of security. The current technique gets the lowest accuracy and the privacy proposed achieves the maximum accuracy while compared to the current technique. The solution is implemented in Java with Hadoop Map-Reduce, and it is tested and deployed in the cloud on Google Cloud Platform.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127204896","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: 106

Research on the Dynamic Monitoring System of Intelligent Digital Teaching 智能数字化教学动态监控系统的研究

J. Interconnect. Networks Pub Date : 2022-02-07 DOI: 10.1142/s0219265921470162

Huizhong Zhang, Fanrong Meng, Guizhen Wang, E. Saraswathi, D. Ruby

{"title":"Research on the Dynamic Monitoring System of Intelligent Digital Teaching","authors":"Huizhong Zhang, Fanrong Meng, Guizhen Wang, E. Saraswathi, D. Ruby","doi":"10.1142/s0219265921470162","DOIUrl":"https://doi.org/10.1142/s0219265921470162","url":null,"abstract":"Education is one of the areas with a higher impact on digitalization, which takes various forms such as education through digital devices and technology to improve the learning process. Online and tangible computing platforms have become more interested in pursuing active teaching through educational technologies within the curriculum. Some common problems and considerations can be addressed, such as access, capacity, financing, periodic progress measurements, and evaluation results. The productive learning activity can be immediately and constantly monitored by proposing Digital Tangible Intelligent Monitoring systems (DTIMS). The decision tree method’s teaching methodology can efficiently perform this proposed system, which monitors the former challenges. At the same time, the next is resolved by a dynamic evaluation process based on the Internet of Things (IoT). The research is evaluated using the education systems currently adopted. The results highlighted the potential of the proposed model and helped to gain information in digital teaching. The simulation analysis is performed based on accuracy 97.69%, vulnerability 91.09%, and efficiency, proving the proposed framework’s reliability of 85.10%.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130981490","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

Model Research of Vehicle Intelligent Scheduling Problem in Distribution Center Based on Improved Differential Evolution Algorithm 基于改进差分进化算法的配送中心车辆智能调度问题模型研究

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921430337

Wei Cui, Xiaoling Xu

{"title":"Model Research of Vehicle Intelligent Scheduling Problem in Distribution Center Based on Improved Differential Evolution Algorithm","authors":"Wei Cui, Xiaoling Xu","doi":"10.1142/s0219265921430337","DOIUrl":"https://doi.org/10.1142/s0219265921430337","url":null,"abstract":"With the continuous expansion of the city scale and the increasing population, people have put forward higher requirements for the speed, reliability and economy of logistics distribution. Although there have been many achievements in the research on the vehicle optimal scheduling decision model and its solution algorithm, there are some problems such as low solution efficiency, long time consumption, and easy to fall into the local optimal solution. The purpose of this paper is to study the model of vehicle scheduling problem in distribution center based on improved differential evolution algorithm. This paper firstly makes a simple analysis of the vehicle distribution route optimization problem, and points out the main factors that constitute the route optimization problem; then analyzes the principle of the differential evolution algorithm, and on this basis, the differential evolution algorithm is improved. In the experimental part, this paper takes a distribution center as the research object, and proposes the implementation steps of the algorithm of the vehicle scheduling problem based on the improved differential evolution algorithm. And test the running cost of the improved differential evolution algorithm and differential evolution algorithm. Experimental results show that applying the improved differential evolution algorithm to vehicle scheduling problems has certain practicality. When the number of iterations reaches 60, the running cost of the improved differential evolution algorithm is 1,200 yuan, and the running cost of the differential evolution algorithm is 1,300 yuan.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130425066","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: 2

Simulation and Experimental Study of Nonlinear Characteristics for Multi-mode Driving of Intelligent Vehicles 智能汽车多模式驾驶非线性特性仿真与实验研究

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921480017

Fugui Wu, Mohammed Wasim Bhatt

{"title":"Simulation and Experimental Study of Nonlinear Characteristics for Multi-mode Driving of Intelligent Vehicles","authors":"Fugui Wu, Mohammed Wasim Bhatt","doi":"10.1142/s0219265921480017","DOIUrl":"https://doi.org/10.1142/s0219265921480017","url":null,"abstract":"To study the nonlinear characteristics simulation and experiment of multimode driving of intelligent vehicle, an improved neural network PID controller is proposed to realize the safe and active braking requirements of cruise vehicles, according to the study of vehicle dynamics of different active braking forms and the joint simulation of road condition, driving condition, and braking mechanical structure. On the basis of the current research, the four-layer neural network combined with PID control is proposed in this paper, which can better control the braking compared with the traditional PID controller and BP neural network, safety, efficiency and stability have been improved in the following cars. According to the animation simulation demonstration of CAR SIM software, it can be determined that the improved neural network PID controller in the mechanical system can realize the safety and active braking requirements of cruise vehicle, and it is more accurate and efficient than the traditional BP neural network PID controller. Relevant parameters of the existing millimeter-wave radars are set by the radar sensors, and the long-distance horizontal detection range is plus or minus 10 degrees. The radar is installed on the longitudinal axis of the front bumper and has a height of 442[Formula: see text]mm. According to Car SIM’s preset radar sensor module parameters, the sensors can independently collect and transmit relevant data, it is also possible to cooperate with other sensors for the same variable parameter to increase the accuracy and avoid abnormal errors caused by the failure of a certain sensor. Compared with the traditional PID controller and BP neural network, the combination of four-layer neural network and PID control can carry out better braking control and improve the safety, efficiency, and stability of the following cars.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127764306","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

The Local Diagnosability of Folded Hypercubes with Conditional Faulty Edges Under the PMC Model PMC模型下条件缺陷边折叠超立方体的局部可诊断性

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921500237

Shiying Wang, Changchang Fan, Xiaolei Ma, Yunxia Ren

{"title":"The Local Diagnosability of Folded Hypercubes with Conditional Faulty Edges Under the PMC Model","authors":"Shiying Wang, Changchang Fan, Xiaolei Ma, Yunxia Ren","doi":"10.1142/s0219265921500237","DOIUrl":"https://doi.org/10.1142/s0219265921500237","url":null,"abstract":"The diagnosability of a multiprocessor system is of great significance in measuring the reliability and faulty tolerance of interconnection networks. In this paper, we firstly study the diagnosability of the [Formula: see text]-dimensional folded hypercube [Formula: see text] under the PMC model. We prove that [Formula: see text] keeps the strong local diagnosability property even if it has the set [Formula: see text] of [Formula: see text] faulty edges and [Formula: see text] is maximum number of faulty edges. Secondly, we study the diagnosability of [Formula: see text] [Formula: see text] and [Formula: see text] is odd) with conditional faulty edges under the PMC model. We prove that [Formula: see text] keeps strong local diagnosability property even if it has the set [Formula: see text] of [Formula: see text] faulty edges, provided that each vertex of [Formula: see text] is incident with at least two fault-free edges, where [Formula: see text] is maximum number of faulty edges. Finally, we prove that [Formula: see text] keeps strong local diagnosability property no matter how many edges are faulty, provided that each vertex of [Formula: see text] is incident with at least three fault-free edges.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128135408","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

Content-Based Collaborative Filtering with Hierarchical Agglomerative Clustering Using User/ Item based Ratings 基于内容的协同过滤与基于用户/项目评级的分层聚类

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921410267

Chakka S. V. V. S. N. Murty, G. Varma, C. Satyanarayana

{"title":"Content-Based Collaborative Filtering with Hierarchical Agglomerative Clustering Using User/ Item based Ratings","authors":"Chakka S. V. V. S. N. Murty, G. Varma, C. Satyanarayana","doi":"10.1142/s0219265921410267","DOIUrl":"https://doi.org/10.1142/s0219265921410267","url":null,"abstract":"The recommender system (RS) plays the major role in online networks, online shopping, and online services etc. The conventional RSs are suffering with the inaccurate quality of experience to the users, so the improper content is recommending to customers. The content based collaborative filtering (CBCF) method is introduced to solve the issues presented in the RSs. However, the CBCF method is suffering with the cold start problem for new users and suffering with data accuracy, data sparsity, and scalable data in clustering process. Thus, to solve these problems, this article proposes hierarchical agglomerative clustering (HAC) based collaborative filtering (HAC-CF) for RSs. The proposed HAC-CF based RS functions by utilizing the incentivized/penalized user (IPU) model with user-based and item-based ratings. To this end, users are divided into several clusters through single link graph partitioning through minimum distance criteria. Then, the final item ranking is computed using Pearson correlation coefficient (PCC) similarity of users. Hence, recommendation efficiency and accuracy are increased at the end user by combining user, item models. The simulation results show the performance enhancement of proposed method with respect to F1-score, recall, and precision as compared to the conventional approaches.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131258479","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: 2

The Feasibility Evaluation Model of Industrial Robot Entrepreneurship Based on Data Collection 基于数据收集的工业机器人创业可行性评价模型

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921470174

Jingjing Zhou, Jianwei Han, Cui Fu, Jingjing Liu

{"title":"The Feasibility Evaluation Model of Industrial Robot Entrepreneurship Based on Data Collection","authors":"Jingjing Zhou, Jianwei Han, Cui Fu, Jingjing Liu","doi":"10.1142/s0219265921470174","DOIUrl":"https://doi.org/10.1142/s0219265921470174","url":null,"abstract":"Artificial intelligence and robots are changing the economic and entrepreneurship environment in the industrial revolution. Artificial intelligence and robotics have become prevalent in modern economic, professional, social, and daily lives. As a function of its ability to update and develop business processes and innovative ideas, services, and products and resolve difficult tasks to achieve new, entrepreneurship has experienced massive development. Significant changes are occurring in entrepreneurship and economic growth due to artificial intelligence. Therefore, this paper aims to understand the effect and components of data entrepreneurship overall with the help of an artificial intelligence-based feasibility evaluation model (AI-FEM). Robot, edge and physical resource layers are described in depth in this document. We first deploy an edge node near the data sources to combine multiple devices’ interfaces and function as a raw data filter. Then it provides opportunity recognition, opportunity development, and opportunity implementation processes are part of the framework’s processes described in this paper. This paper aims to develop a basic framework for evaluating AI’s potential implications for the interaction between entrepreneurship and economic growth. The economic growth of industrial robots reduces basic labor costs. However, it increases hourly compensation, suggesting that the productivity-enhancing advantage of industrial robots equals the wage-increasing influence. The results show that the system is feasible and performs better in real-time and network transmission than in an AI-based industry scenario. The experimental results of AI-FEM show the high-performance ratio of 95.5%, productivity ratio of 96.3%, reliability ratio of 93.4%, the employment rate of 92.6%, an efficiency ratio of 93.6%, industrial management ratio of 90.3%, and cost-effectiveness ratio of 20.3% compared to other methods.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125295576","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

Intelligent Retrieval Method of Power System Service User Satisfaction Based on Human-Computer Interaction 基于人机交互的电力系统服务用户满意度智能检索方法

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921470125

Xiaoxu Qi, Yaling Zhang, Sheng Cao, Shengping Yan, Hongbang Su

{"title":"Intelligent Retrieval Method of Power System Service User Satisfaction Based on Human-Computer Interaction","authors":"Xiaoxu Qi, Yaling Zhang, Sheng Cao, Shengping Yan, Hongbang Su","doi":"10.1142/s0219265921470125","DOIUrl":"https://doi.org/10.1142/s0219265921470125","url":null,"abstract":"The definition of a general assessment of the efficiency of the power grid through an education test system is presented in this article. The paper expands an existing test scheme through the development of the requisite transmission and delivery networks. Major equipment such as generation, switching stations, transmission, and radial delivery networks within a functional framework has a comprehensive test system. Therefore, the trial machine is limited to analyzing reliability models and measurement methods using hand measurements or designing small computer programs. The overall reliability assessment of the power grid is to provide the customer with adequate service. This paper provides a basis for modeling and constructing intelligent and adaptive interfaces for Human-Computer Interaction In Power System Service Using A Genetic Algorithm (HCI-PS-GA). Integration of two-way connectivity and two-way power flow between utilities and customers turns the conventional infrastructure into an intelligent grid renowned for its intelligent grid (IG). IG is committed to ensuring reliability, flexibility, and sustainability. IG offers cyber threat and natural catastrophe surveillance, control, and endurance. It takes into account both storage and generation choices. The interfaces and their interaction styling framework play a vital role in the massive use of technology, search and explore multimodal, cloud system, adaptive, and intelligent interfacing styles of the next generation with good expression and natural characteristics for greater user acceptability, usability, and satisfaction which offers the accuracy rate of 89%.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126381628","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

Intelligent Building with Multi-Energy System Planning Method Considering Energy Supply Reliability 考虑供电可靠性的多能源智能建筑系统规划方法

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921460075

G. Qiao

引用次数: 1