J. Interconnect. Networks最新文献_第9页

A Hybrid SDN Architecture for IDS Using Bio-Inspired Optimization Techniques 基于生物优化技术的IDS混合SDN架构

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921410280

A. Saritha, B. N. Manjunatha Reddy, A. S. Babu

引用次数: 0

Secure Vertical Handoff in Mobile Wireless Network Based on Secure Location Algorithm 基于安全定位算法的移动无线网络安全垂直切换

J. Interconnect. Networks Pub Date : 2022-02-04 DOI: 10.1142/s0219265921450092

Jing Ji

引用次数: 0

A Study on the Development of Design thinking in the Fourth Industrial Revolution - Focused on Micro Manufacturing Space 第四次工业革命中的设计思维发展研究——以微制造空间为例

J. Interconnect. Networks Pub Date : 2022-01-31 DOI: 10.1142/s0219265921430465

Hyun-Min Chun

{"title":"A Study on the Development of Design thinking in the Fourth Industrial Revolution - Focused on Micro Manufacturing Space","authors":"Hyun-Min Chun","doi":"10.1142/s0219265921430465","DOIUrl":"https://doi.org/10.1142/s0219265921430465","url":null,"abstract":"Recent advances in technology have accelerated the Fourth Industrial Revolution. With the emergence of artificial intelligence, not only the manufacturing sector but also all sectors of society are expected to undergo changes in the future. In this age of the Fourth Industrial Revolution, it is going to be more important for learners to improve their creativity than to acquire knowledge. So scholars are exploring new ways of teaching to cultivate suitable talent for the future society. Among these various methods of education, Maker Education at Micro Manufacturing Space is recognized as the optimal method for the AI era. This study, in light of this, analyzed the operation of Micro Manufacturing Space, which is located in a university, and further suggested the direction of development of Micro Manufacturing Space in the Fourth Industrial Revolution. The results of this study are as follows. At the university’s Micro Manufacturing Space, students can be trained to think innovatively and improve creativity. In addition, this space can also be used as an open learning and meeting space for university students to visit freely. Moreover, the place can be built for the purpose of a start-up space. Therefore, future Micro Manufacturing Space in universities, as it were, will definitely prove to be a multifunctional space providing support to foster and improve creativity of the main force of the future of society. The findings can be used as theoretical basic data in the creation of a Micro Manufacturing Space for design thingking.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128026356","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

Deep Learning-Based Human Emotion Detection Framework Using Facial Expressions 基于深度学习的人类面部表情情感检测框架

J. Interconnect. Networks Pub Date : 2022-01-31 DOI: 10.1142/s0219265921410188

Jie Hou

{"title":"Deep Learning-Based Human Emotion Detection Framework Using Facial Expressions","authors":"Jie Hou","doi":"10.1142/s0219265921410188","DOIUrl":"https://doi.org/10.1142/s0219265921410188","url":null,"abstract":"Automatic recognition of facial expression is an emerging study in the recognition of emotions. Emotion plays a significant role in understanding people and is usually related to sound decisions, behaviors, human activities, and intellect. The scientific community needs accurate and deployable technologies to understand human beings’ emotional states to establish practical and emotional interactions between human beings and machines. In the paper, a deep learning-based human emotion detection framework (DL-HEDF) has been proposed to evaluate the probability of digital representation, identification, and estimation of feelings. The proposed DL-HEDF analyzes the impact of emotional models on multimodal identification. The paper introduces emerging works that use existing methods like convolutional neural networks (CNN) for human emotion identification based on language, sound, image, video, and physiological signals. The proposed emphasis on the province study illustrates the shape and display of sample size emotional stimulation. While the findings obtained are not a province, the evidence collected indicates that deep learning could be sufficient to classify face emotion. Deep learning can enhance interaction with people because it allows computers to acquire perception by learning characteristics. And by perception, robots can offer better responses, enhancing the user experience dramatically. Six basic emotional levels have been successfully classified. The suggested way of recognizing emotions has then proven effective. The output results are obtained as an analysis of the ratio of the facial expression of 87.16%, accuracy evaluation ratio being 88.7%, improving facial recognition ratio is 84.5%, and the expression intensity ratio is 82.2%. The emotional simulation ratio is 93.0%.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128249426","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: 4

West Nile Virus Prediction Based on Data Mining 基于数据挖掘的西尼罗河病毒预测

J. Interconnect. Networks Pub Date : 2022-01-31 DOI: 10.1142/s0219265921500250

Wei Meng

引用次数: 0

A Note on Linearly Many Faults of Interconnection Networks 关于互连网络线性多故障的一个注记

J. Interconnect. Networks Pub Date : 2022-01-31 DOI: 10.1142/s0219265921420172

E. Cheng, László Lipták, K. Qiu, Z. Shen

引用次数: 0

Analysis of Deep Entrepreneurial Model in College Students Based on Mixed Space and Time Big Data Stream 基于混合时空大数据流的大学生深度创业模式分析

J. Interconnect. Networks Pub Date : 2022-01-31 DOI: 10.1142/s0219265921410243

Lin Huang

{"title":"Analysis of Deep Entrepreneurial Model in College Students Based on Mixed Space and Time Big Data Stream","authors":"Lin Huang","doi":"10.1142/s0219265921410243","DOIUrl":"https://doi.org/10.1142/s0219265921410243","url":null,"abstract":"Due to the homogenization of massive entrepreneurial undertaking by college students, they face a series of dilemmas such as the low utilization rate, poor user stickiness, failure to support various activities of the teachers and students, inability to maintain the sustainable development and so on. The solution is to establish a deep entrepreneurship mode of college students based on the mixed space and time big data stream. In this paper, a new idea of building an information platform based on the mixed space and time big data stream is explored. A new method for the construction of platform with the data as the core and the project as the orientation is put forward, which is composed of the data source analysis, data processing analysis and model establishment, innovation and entrepreneurship project module. Hence, a system platform is established with the “data” as the center and the functions expanded continuously by using the data mining technology, which will play an active role in the sustainable development of projects, the self-cognition of teachers and students, the discovery of enterprise talents, the decision making of college education and other aspects.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133151500","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

Multilateral Cooperation on International Migration Governance in the Context of Community of Shared Human Destiny Based on Big Data Sharing 基于大数据共享的人类命运共同体背景下国际移民治理多边合作

J. Interconnect. Networks Pub Date : 2022-01-31 DOI: 10.1142/s0219265921500225

M. Chen

{"title":"Multilateral Cooperation on International Migration Governance in the Context of Community of Shared Human Destiny Based on Big Data Sharing","authors":"M. Chen","doi":"10.1142/s0219265921500225","DOIUrl":"https://doi.org/10.1142/s0219265921500225","url":null,"abstract":"In view of the noise of the data collected by the traditional multilateral cooperation mode of international migration governance, which leads to the small value of the actual task completion degree of the final mode, this paper designs a multilateral cooperation mode of international migration governance under the background of the community of human destiny based on big data sharing. Taking the governance process as the guidance, the multilateral cooperation database of international migration governance is constructed. In the multi direction of development, we should rely on the background of the community of human destiny to set up the legal construction system. The middleware data sharing model is built on the model of international migration governance, and the multi-lateral cooperation model structure of international migration governance is created by using big data sharing technology. After building the big data sharing architecture, simulate and set the data group of multilateral cooperation mode, and prepare two traditional multilateral cooperation modes and the designed multilateral cooperation mode for experiment. The results show that the designed multilateral cooperation mode has the highest task completion degree.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124901210","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

Anycast Service Grooming Algorithm of Cloud Computing Based on Wireless Communication Network 基于无线通信网络的云计算任播服务疏导算法

J. Interconnect. Networks Pub Date : 2022-01-31 DOI: 10.1142/s0219265921410292

Hong Wei, Zhiyong Li

引用次数: 0

Research on Marine Economic Development Information Management System Based on Supply Chain Technology 基于供应链技术的海洋经济发展信息管理系统研究

J. Interconnect. Networks Pub Date : 2022-01-28 DOI: 10.1142/s0219265921440096

Qunping Chen

{"title":"Research on Marine Economic Development Information Management System Based on Supply Chain Technology","authors":"Qunping Chen","doi":"10.1142/s0219265921440096","DOIUrl":"https://doi.org/10.1142/s0219265921440096","url":null,"abstract":"In the economic growth of the industry, the marine economic prediction management system occupies a significant position. The Marine Forecast Management System is of considerable importance to help establish rules and clues on the potential progress of the Marine Forecast Management System. Many investigations into the risk of the maritime supply chain currently concentrate on risk assessment and control and seldom undertake a detailed study of each factor’s reasoning structure. It is difficult to monitor and regulate the globalization of supply chains. Blockchain technology promises to provide accountability, traceability, and safety certain global supply chain management concerns as a distributed digital technology leader. This article critically analyzes blockchain technologies and intelligent contracts with future supply chain management applications. The interpretation framework model uses the Supply Chain Management based on Marine Economic Development (SCM-MED) methods to analyze the maritime supply chain risk mechanism. The model examines the structure and processes of the marine supply chain risk mechanism, offers a scientific framework for controlling the risk of the marine supply chain, and makes corresponding proposals for reducing and monitoring marine supply chain risk. It aims to test this belief by strictly calculating the exchanging value of information and comparing this improved value in the supply chain to reduce lead times and increase the pace of distribution by decreasing load sizes. The experimental result recommended SCM-MED improves the marine economic development ratio (98.2%) and total losses per year (25%).","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114962881","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