{"title":"Psychotherapy Regulation via Fuzzy Analysis and Feedback Tuning","authors":"Qiong Shi","doi":"10.1109/ICCSI53130.2021.9736259","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736259","url":null,"abstract":"Psychotherapy is a complex course of therapy that the well-trained psychotherapists treat the mental and behavior problem of the clients. Thus, it is a complex course that must consider a variety of fuzzy factors such as making diagnoses, determining the therapy method and regulating the therapy process. The fuzzy logic can be applied by helping to make diagnoses, and there are plenty of feedback loops in charge of regulating and advancing the therapy process. In this paper, we try to model and analyze the psychotherapy process by fuzzy logic and feedback tuning. Music desensitization therapy for dispelling communication apprehension is adopted to demonstrate the proposed method, and the treatment effect of 12 undergraduates by the same way was presented to verify the feasibility of the proposed approach. The control block of the psychotherapy course was also illustrated and analyzed in detail.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124824387","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}
{"title":"Fuzzy portfolio selection based on outranking relations and three-way decisions","authors":"Xian Wang, Bo Wang, Xiao Xuan Xu","doi":"10.1109/ICCSI53130.2021.9736215","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736215","url":null,"abstract":"In the field of portfolio selection, it is of great importance to create a combination of alternative assets to achieve excess return and reduce risk. Based on the assumption that the investor holds securities already before the portfolio optimization, we propose a novel portfolio selection model by adopting outranking relations and three-way decisions theory in this paper. In the proposed model, outranking relations is expected to select the most rational and excellent performance security among all alternatives, while three-way decisions theory is expected to hedge against risks result from uncertainties and inaccurate information in security market. Finally an experimental study based on actual market data validates the effectiveness of the proposed portfolio selection model, which can increase the investment return while reducing the risk.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122797861","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}
Junliang Shu, Peiyun Zhang, Jiale Sheng, ZiJie Liu
{"title":"Node Selection Model for Block Transmission in a Blockchain Network","authors":"Junliang Shu, Peiyun Zhang, Jiale Sheng, ZiJie Liu","doi":"10.1109/ICCSI53130.2021.9736212","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736212","url":null,"abstract":"In a permissionless blockchain network, the random selection of nodes to transmit blocks results in a low transmission rate. To solve the problem, an optimization model of trusted node selection is proposed for block transmission. The model analyzes node distance and connectivity in a block synchronization time, and introduces node trust in terms of whether they transmit or validate blocks. Experimental results show that the proposed method has more advantages in block synchronization time, block transmission rate, and block transmission success rate than its peers.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122197456","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}
Naijun Shen, Jun Wang, Jiacun Wang, Xingyun Liu, Lijun Yang, Yu Wang
{"title":"Patient Flow Congestion Control Based on Stochastic Timed Petri Net Model","authors":"Naijun Shen, Jun Wang, Jiacun Wang, Xingyun Liu, Lijun Yang, Yu Wang","doi":"10.1109/ICCSI53130.2021.9736225","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736225","url":null,"abstract":"Resource allocation has always been an important part of healthcare systems. The goal is to allocate resources more reasonably and thus reduce the waiting time of patients during their visits to healthcare facilities. In this paper, we use stochastic timed Petri nets (STPN) to model and simulate medical service processes and evaluate their performance. In particular, we propose a mechanism with which more doctors can be added to a service unit when a patient flow congestion is detected, and the added doctors will be freed when congestion is relieved. A case study is performed to show the effectiveness of this new adaptive resource allocation mechanism.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124347626","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}
{"title":"Comparative study on the combat effectiveness of shipborne weapon against air based on ADC method","authors":"Xiao Tan, Hanyu Liu, Jun Wang, Xiangmin Wang, Huanyu Yang, Haowen Zheng","doi":"10.1109/ICCSI53130.2021.9736208","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736208","url":null,"abstract":"In addition to the existing close-in defense and anti-missile weapons, new concepts such as shipborne laser guns and electromagnetic guns will be added to the hard killing means of modern naval ships at the end of the air defense and anti-missile system. Whether the combat effectiveness of the new weapons is improved compared with that of the past determines the composition of the attack system. Based on the classic ADC method, this paper gives the combat effectiveness simulation values of traditional close-in gun, laser gun and electromagnetic gun against the same target respectively, so as to compare their combat effectiveness in the process of naval air defense combat, providing support for the subsequent demonstration of new concept weapons on board.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130005788","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}
Haiyun Yuan, Song Xu, Yangfan Sun, Qian Li, Anan Zhang
{"title":"Application of Least Squares Support Vector Machine Based on Particle Swarm Optimization in Tidal Current Prediction of Offshore Microgrid","authors":"Haiyun Yuan, Song Xu, Yangfan Sun, Qian Li, Anan Zhang","doi":"10.1109/ICCSI53130.2021.9736207","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736207","url":null,"abstract":"In order to reduce the impact of the uncertainty of tidal current and improve the application of tidal current energy in offshore microgrid, the tidal current predict is of importance. Through studying the characteristics of the tidal current time series of the offshore microgrid, a tidal current prediction model based on the least squares support vector machine is proposed, and the key parameters of the model are optimized by the particle swarm optimization algorithm. At last, case studies based on the actual data of an offshore microgrid are carried out to verify the accuracy of the proposed model.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131103965","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}
{"title":"An Efficient Anonymous Authentication Scheme for Medical Services Based on Blockchain","authors":"Shu-Lin Wu, Guang-Qian Peng, Ya Gao, Jindou Chen","doi":"10.1109/ICCSI53130.2021.9736244","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736244","url":null,"abstract":"Telemedicine is one of the most rapidly de-veloping areas of health care in recent years. Telemedicine Information Systems (TMIS) enable physicians to pro-vide remote care over the Internet to registered patients anywhere. In this work, we propose an efficient anony-mous authentication scheme between patients and med-ical servers. We combine blockchain technology with biometric technology to form a shared session secret key to protect the privacy of patients through mutual au-thentication between patients and servers. Comprehen-sive comparative measurement shows that our proposed scheme achieves a better experimental performance in both computation and communication efficiencies.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114525763","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}
{"title":"Finite-time Localization and Circumnavigation by Elliptical Trajectory with Bearing-only Measurements","authors":"Zhoujian Ma, Jun Wang, Yinya Li","doi":"10.1109/ICCSI53130.2021.9736223","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736223","url":null,"abstract":"This paper addresses the problem of circumnavigation with an elliptical trajectory for an unknown stationary target by a single agent. The agent can only access its own position and bearing information of the target. For localizing the position of the target, a three-dimensional estimator is designed for the target. Sequently, a controller is devised to employ the agent to travel along the prescribed trajectory within finite time. Finally, a numerical experiment is provided to illustrate the effectiveness of the approach.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116990595","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}
{"title":"A Flexible Remote Laboratory Platform for Interactive AI Experiments with Hardware and Software Facilities","authors":"Rui Yang, Yutao Qi, Jun Deng, Zhiyang Liu, Mingzhang Luo, Xiaolong Yuan","doi":"10.1109/ICCSI53130.2021.9736168","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736168","url":null,"abstract":"With the rapid development of AI technology, colleges and universities are gradually starting to build AI laboratories to meet the growing demand for AI talent cultivation. AI experiments include a variety of hardware and software facilities, and the operation methods of different facilities are different. So this requires that the AI experimental platforms must adapt to different experimental facilities conveniently and flexibly, and realize the sharing of different types of experimental resources. Based on Social computing technology, this paper implements a flexible remote laboratory platform for interactive AI experiments with hardware and software facilities. The platform is compatible with a variety of experimental equipments and a unified communication module, which can flexibly integrate different kinds of AI experiments and various platform experimental resources. At the same time, the platform implements a new online programmable experiment environment based on the Wiki system, which makes students' online experiments easier. The platform implemented in this paper has a strong teaching effect and provides a very convenient remote teaching way for the AI experimental course.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129877165","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}
Po Hu, Yunjia Wang, Ning Pang, Zeya Zhang, Yifan Huang, Haoran Guo
{"title":"Research on residential load classification method based on Multi-model parallel integration algorithm","authors":"Po Hu, Yunjia Wang, Ning Pang, Zeya Zhang, Yifan Huang, Haoran Guo","doi":"10.1109/ICCSI53130.2021.9736211","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736211","url":null,"abstract":"With the gradual upgrading of power grid to energy Internet, machine learning and artificial intelligence technology are booming in the field of load classification. In this paper, combined with the theory of artificial intelligence, aiming at the problem of residential user load type classification, a residential load classification algorithm based on multi model parallel integration(MMPI) is proposed. The algorithm constructs several base classifiers with different performance, embeds the ensemble learning load classification model, and processes them in parallel on MATLAB platform. An example is given to verify the effectiveness of the algorithm by using Irish electricity consumption data. The classification results show that, compared with the traditional single model load classification, the load classification method based on multi model parallel integration has higher classification accuracy and efficiency.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128358058","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}