2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)最新文献_第3页

Analysis and Research on Altmetrics Index of Domestic Scholars in the Field of International Library and Information Science 国际图书馆情报学领域国内学者Altmetrics指标分析与研究

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627377

Wanxin Zhao, Mengxiao Gao, Xin Xia, Yan Zhang

{"title":"Analysis and Research on Altmetrics Index of Domestic Scholars in the Field of International Library and Information Science","authors":"Wanxin Zhao, Mengxiao Gao, Xin Xia, Yan Zhang","doi":"10.1109/icisfall51598.2021.9627377","DOIUrl":"https://doi.org/10.1109/icisfall51598.2021.9627377","url":null,"abstract":"This paper focuses on the Altmetrics indicators of domestic scholars in the international field of library and information science, studies the relationship and influencing factors between Altmetrics indicators and citation indexes, to enhance the international impact of domestic scholars. The analysis aims to domestic scholars who have published papers in 88 international library and information science journals collected by JCR. By combining traditional citation indexes and Altmetrics indicators, the research topics of high-impact scholars are analyzed detailly. Using Twitter mentions, Blog mentions and Facebook mentions to disseminate academic achievements is the main way for domestic scholars to promote social impact. The positive and strong correlation between the social impact index and the academic impact index shows that the appropriate Altmetrics indicators can characterize the social impact of scholars. If the research topics of domestic scholars are consistent with the hotspots of the international community, it will actively promote the scholar's international social impact. The research topics of high social impact that domestic scholars rarely involve are mainly distributed in public health and medical health","PeriodicalId":240142,"journal":{"name":"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)","volume":"368 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121737183","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

Downlink Design and Operating Mode Optimization of Remote Sensing Satellite Data Transmission System 遥感卫星数据传输系统下行链路设计与运行模式优化

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627354

Yi Zhang, Yifeng He, Gang Dong

引用次数: 0

Load Balancing of Multi-Core Heterogeneous CPU Based on BP Neural Network and Weighted Round-Robin Algorithm 基于BP神经网络和加权轮循算法的多核异构CPU负载均衡

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627422

Lei Wan, Bin Dai, Han Jiang, Xianjun Zhu

引用次数: 1

Views on the Low-Cost Internet Satellite Systems 对低成本互联网卫星系统的看法

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627404

Ning Fan, Jia Tian, Chonglei Sun, Shen-You Zhai

引用次数: 0

2021 IEEE/ACIS 21st International Fall Conference on Computer and Information Science (ICIS 2021–Fall) IEEE/ACIS第21届计算机与信息科学国际秋季会议(ICIS 2021 - Fall)

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627381

引用次数: 0

Artificial Intelligence Technology in UAV Equipment 无人机装备中的人工智能技术

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627359

Chunnu Li

{"title":"Artificial Intelligence Technology in UAV Equipment","authors":"Chunnu Li","doi":"10.1109/icisfall51598.2021.9627359","DOIUrl":"https://doi.org/10.1109/icisfall51598.2021.9627359","url":null,"abstract":"Modern science and technology is developing rapidly, at the same time, artificial intelligence technology is also developing rapidly. Now, artificial intelligence technology has penetrated into all aspects of our lives. In this paper, the application of artificial intelligence technology in UAV equipment is studied. In the study, we selected two aircraft for simulation experiments, one is an unmanned aircraft using artificial intelligence technology, the other is an aircraft without artificial intelligence technology, other conditions are the same, respectively from the two aircraft capabilities and detection performance are analyzed. In the ability evaluation, the perception ability, decision-making ability, behavior ability and learning ability are evaluated respectively, and the detection performance is analyzed from the detection rate and false detection rate. The results show that the average score of UAV with AI technology is 9.25, while the average score of UAV without AI technology is 7.85. It can be seen that the UAV equipment using artificial intelligence technology has advantages in all aspects of capabilities.","PeriodicalId":240142,"journal":{"name":"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124838147","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

Feature Selection for Human Trafficking Detection Models 人口贩运检测模型的特征选择

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627435

Chawit Wiriyakun, W. Kurutach

引用次数: 7

Assessing the Fun Experience with FunQ 用FunQ评估趣味体验

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627453

Gabriella Tisza

引用次数: 1

Persona Design Method Based on Data Augmentation by Social Simulation 基于社交模拟数据增强的人物角色设计方法

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627493

Takamasa Kikuchi, Hiroshi Takahashi

{"title":"Persona Design Method Based on Data Augmentation by Social Simulation","authors":"Takamasa Kikuchi, Hiroshi Takahashi","doi":"10.1109/icisfall51598.2021.9627493","DOIUrl":"https://doi.org/10.1109/icisfall51598.2021.9627493","url":null,"abstract":"In the field of marketing, “persona” is widely used as a method to support customer-oriented product and service design. However, in many cases, the persona design process is confined to the classification of customers based on limited attribute information projected from the past to the present using cross-sectional data. In this study, we propose a method, based on attribute information extended by social simulation, to improve the persona design process. The framework consists of the following procedures: 1) treat changes in the external environment explicitly and handle target customers' possible attribute changes (i.e., “virtual life”); 2) classify customers based on a large quantity of attribute information supported and extended by social simulation. As a demonstration of the proposed method, this paper presents a specific case study that focuses on the customer asset situations. We conduct a simulation of customer asset situations at a future point in time, taking into account asset succession and price fluctuations of risky assets, based on individual questionnaire data concerning asset formation and withdrawal in retirement. We design personas using the conventional method and the proposed method, and we compare the two. The results show that the proposed method facilitates a) estimation of future changes in customer states, b) incorporation of possible future events in each persona, and c) consideration of future customer state changes in the state of classification of personas.","PeriodicalId":240142,"journal":{"name":"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115281493","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: 3

Enhancing Cyber-Physical Systems with Machine Learning - Drilling Holes into the Walls Between Disciplines Keynote Address 用机器学习增强信息物理系统——在学科之间的墙上钻洞主题演讲

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI: 10.1109/icisfall51598.2021.9627341

P. Marwedel

{"title":"Enhancing Cyber-Physical Systems with Machine Learning - Drilling Holes into the Walls Between Disciplines Keynote Address","authors":"P. Marwedel","doi":"10.1109/icisfall51598.2021.9627341","DOIUrl":"https://doi.org/10.1109/icisfall51598.2021.9627341","url":null,"abstract":"In the talk, we will introduce the notion of cyber-physical systems (CPS). For CPS, there is a complex interaction between the physical environment, hardware platforms, and the software running on them. We will briefly introduce CPS characteristics as well as challenges for their design. Mechanical, energy, thermal and dependability issues have to be considered, leading to the requirement of multidisciplinary design. Sensors may be providing huge amounts of data requiring sophisticated data analysis in order to generate reliable information. The collaborative research center CRC 876 at TU Dortmund (see http://sfb876.tu-dortmund.de) addresses the need for data analysis and multidisciplinarity. Its focus is on resource constrained machine learning and its applications. With this focus, it merges fundamentals of embedded systems and machine learning with applications in many scientific areas such as physics, medicine, logistics, and factory automation. In the second part of the talk, we will present exemplary results from cooperative work at the collaborative research center. These results will demonstrate the potential of interdisciplinary research using concrete examples. Final remarks will concern approaches for CPS education.","PeriodicalId":240142,"journal":{"name":"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115985249","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