2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)最新文献_第4页

A study on the personalized recommendation of intelligent learning system based on user feature model analysis 基于用户特征模型分析的智能学习系统个性化推荐研究

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673494

Xuekong Zhao, L. Lao

{"title":"A study on the personalized recommendation of intelligent learning system based on user feature model analysis","authors":"Xuekong Zhao, L. Lao","doi":"10.1117/12.2673494","DOIUrl":"https://doi.org/10.1117/12.2673494","url":null,"abstract":"In the digital intelligence era, users have higher requirements for machine aided learning environment experience. How to provide personalized learning support services based on users' different characteristics has become a hot topic for researchers. Intelligent learning system (ILS) is a learning support environment that can dynamically diagnose users' different learning needs and then provide personalized services. However, the current research on intelligent learning systems is still in the exploratory stage, and the research results need to be improved in the aspect of intelligent recommendation effect. Based on this, this paper will further explore the personalized recommendation technology solution of intelligent learning system on the basis of the analysis of relevant case results. In order to improve the recommendation accuracy of intelligent learning system, we will focus on the analysis of the system architecture, feature model construction method and recommendation process from the perspective of user feature model. The simulation experiment analysis shows that the research results have certain advantages in the personalized recommendation effect, which can dynamically provide the current user with a suitable personalized learning path to meet the user's learning needs.","PeriodicalId":176918,"journal":{"name":"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126495544","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

New technologies and applications of product design and manufacturing in the manufacturing enterprises' digital transformation 产品设计制造在制造企业数字化转型中的新技术与应用

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673484

Yang Xiao, Xiao-li Yu, Jie Wei, Changcheng Wan

引用次数: 0

Smart system design for digital transformation of new retail 新零售数字化转型的智能系统设计

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673515

Man Xie

引用次数: 0

Anomaly detection of large data stream in energy internet based on high-order statistical features 基于高阶统计特征的能源互联网大数据流异常检测

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673506

Ju Tian, Xiaohui Zhang, Luzhou Cao, Q. Xie, Qi Wu, Haiyan Liu

{"title":"Anomaly detection of large data stream in energy internet based on high-order statistical features","authors":"Ju Tian, Xiaohui Zhang, Luzhou Cao, Q. Xie, Qi Wu, Haiyan Liu","doi":"10.1117/12.2673506","DOIUrl":"https://doi.org/10.1117/12.2673506","url":null,"abstract":"In the energy Internet integration mechanism, any abnormal data behaviour may affect the operation security of the network system. In order to accurately detect the abnormal transmission behaviour of data stream samples, this paper studies the abnormal detection method of the large data streams in energy Internet based on high-order statistical features. According to the principle of higher-order statistics, this paper defines statistical indicators. Combined with the characteristic function expression, the range of phase space parameters is determined, and the verification of abnormal large data stream information is realized. Hadoop distributed detection framework is set, and the accurate calculation result of abnormal scheduling coefficient is obtained by solving the vector of the high-dimensional large data stream, and the design of abnormal detection method for large data stream of energy Internet based on high-order statistical characteristics is completed. The experimental results show that under the high-order statistical principle, the detection accuracy of abnormal information of data stream samples by energy Internet hosts is improved, which has outstanding value in maintaining the running security of the network system.","PeriodicalId":176918,"journal":{"name":"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132805719","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

Low voltage user demand response management platform based on blockchain technology 基于区块链技术的低压用户需求响应管理平台

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673402

Jianlin Tang, Xiaoming Lin, Fan Zhang, Wenqian Jiang, Zhou Yang, Junli Huang

{"title":"Low voltage user demand response management platform based on blockchain technology","authors":"Jianlin Tang, Xiaoming Lin, Fan Zhang, Wenqian Jiang, Zhou Yang, Junli Huang","doi":"10.1117/12.2673402","DOIUrl":"https://doi.org/10.1117/12.2673402","url":null,"abstract":"In order to meet the power demand of low-voltage users and reduce the power cost, a low-voltage user demand response management platform based on blockchain technology is proposed. Based on the blockchain structure, the overall architecture of the demand response management platform is designed, including the response layer, the main chain layer and the decision-making layer. The platform hardware mainly includes the consensus mechanism module and the orderly power consumption management module of the low-voltage user demand response chain. The platform software part calculates the power supply cost of the power terminal and the power consumption cost of the low-voltage user, and constructs the objective function according to the cost calculation result. The reverse induction algorithm is used to calculate the optimal power consumption of low-voltage users, and the demand impact management problem of low-voltage users is transformed into a single objective solution problem. By solving the objective function, the demand response management of low-voltage users is completed. The experimental results show that the platform can play a good peak shaving effect, and can effectively improve the safety of the platform and the safety of low-voltage users.","PeriodicalId":176918,"journal":{"name":"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132221001","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

Transcranial magnetic simulation over posterior parietal cortex affects attentional function 后顶叶皮层经颅磁模拟影响注意功能

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673570

Biao Xiang, Lirong Yan, Ning Li, Changcheng Shi, Fuwu Yan, Yibo Wu

{"title":"Transcranial magnetic simulation over posterior parietal cortex affects attentional function","authors":"Biao Xiang, Lirong Yan, Ning Li, Changcheng Shi, Fuwu Yan, Yibo Wu","doi":"10.1117/12.2673570","DOIUrl":"https://doi.org/10.1117/12.2673570","url":null,"abstract":"Objective: The posterior parietal cortex (PPC) is involved in cognitive attentional activity, according to neuroimaging research. Its specific role in the brain network responsible for attention need to be further identified. Approach: In this study, an attention network test (ANT) was designed. 1-Hz low-frequency repeated transcranial magnetic stimulation (rTMS) was performed over the right PPC. Behavioral and EEG data were analyzed before and after stimulation. Main results: The behavioral results showed that the frontoparietal network was directly connected to spatial orientation and executive functions. Low-frequency TMS produced an inhibitory effect in opposition to the learning effect, which persisted 24 hours after stimulation and was most pronounced under spatial cues. Event-related potentials (ERP) results showed that the stimulation inhibited the posterior parietal brain neural activity, and in particular, had a significant inhibitory effect on spatial attention. Significance: PPC is crucial in attentional orienting and executive functions. Exploring ways to intervene in brain activity has significant implications for people to recover attentional function.","PeriodicalId":176918,"journal":{"name":"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134574531","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

Research on fast semantic segmentation algorithm of road potholes under rain and snow 雨雪条件下路面坑洼快速语义分割算法研究

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673500

Wangyuan Zhao, Wei Jiao, Yujian Ye, F. Han, Xinjie Qiu, Peng Xiao

引用次数: 0

Study on cooperative scheduling control method of bulk cargo terminal 散货码头协同调度控制方法研究

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673370

Xuelin Wang, Hankun Shi, N. Lu

引用次数: 0

Design of single lamp controller based on NB-IoT 基于NB-IoT的单灯控制器设计

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673368

L. Song, Daisheng Xu, Zexu Li, Xiaozhuo Zhou

引用次数: 0

Simulation study on the entrance taxiway operation mode for all day run multi-runway airport 全天运行多跑道机场入口滑行道运行模式仿真研究

2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022) Pub Date : 2023-04-03 DOI: 10.1117/12.2673389

X. Niu, Feng Xiao, Shenmin Zhang, Yin Zhang, Ran Lin

{"title":"Simulation study on the entrance taxiway operation mode for all day run multi-runway airport","authors":"X. Niu, Feng Xiao, Shenmin Zhang, Yin Zhang, Ran Lin","doi":"10.1117/12.2673389","DOIUrl":"https://doi.org/10.1117/12.2673389","url":null,"abstract":"Changing the configuration of the runway and taxiway geometry is an effective measure to improve the airport operation efficiency. Increasing the number of parallel Entrance Taxiways (ET) which is connected to the runway is a general way of saving flights waiting times, but the actual take off length for runway is reduced. To overcome this problem, the new operation mode was applied by increasing the additional inclined ET besides vertical ET which were set at the end of the runway. However, the effect of the additional inclined ET to the airport operation efficiency is hang over. In this study, the physical model of all-day run multi-runway airport was built to study the influence of the additional inclined ET to airport operation efficiency by comparison of runway with vertical ET and with additional inclined ET. It is found that flight delay rate is reduced from 17% to 13.8% for the runway with additional inclined ET. The time of maximum flight delay and the number of delay flights are reduced while the runway is connected to the additional inclined ET. Air delay and taxiing delay are the major reason for the ground delay for arrival flights and departure flights, respectively. Taxiing delay for arrival flights is reduced while the additional inclined ET is operated. Runway capacity has little change by the operation of the additional inclined ET.","PeriodicalId":176918,"journal":{"name":"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114603655","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