Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering最新文献_第2页

Research and implementation of a trend prediction model based on trend similarity for the changing trends of fashion elements in clothing 基于趋势相似度的服装流行元素变化趋势预测模型的研究与实现

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573685

Ming Zhu, Shunguang Zhan

{"title":"Research and implementation of a trend prediction model based on trend similarity for the changing trends of fashion elements in clothing","authors":"Ming Zhu, Shunguang Zhan","doi":"10.1145/3573428.3573685","DOIUrl":"https://doi.org/10.1145/3573428.3573685","url":null,"abstract":"Trend forecasting of clothing fashion elements is an important guide for product development and sales of garment companies. Existing work can only capture simple changing trend laws and patterns of mutual influence between trends but cannot give effective and practical guidance on the trend changes of clothing fashion elements. This paper uses user information to group rich fashion elements in a more accurate and meaningful way to predict the trend of future trends in fashion elements. By comparing the similarity between the recent trend changes and the historical trend information, we continuously evaluate the next change trend information from the similar historical trend information, learn the laws and patterns of clothing fashion element change trends and predict the future trend change direction. Our experiments show that the model proposed in this paper can effectively capture the changing laws of clothing fashion elements and the patterns that affect each other to predict the changing trends. Compared with the baseline method, the model has the best performance in MAE and MAPE indicators.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114147985","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 Empathic Remediation Mechanism of Chatbots Mediated by Social Presence and Trust 社交在场和信任介导的聊天机器人共情修复机制研究

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573566

Xuyan Sun, Hui Guan

{"title":"Research on Empathic Remediation Mechanism of Chatbots Mediated by Social Presence and Trust","authors":"Xuyan Sun, Hui Guan","doi":"10.1145/3573428.3573566","DOIUrl":"https://doi.org/10.1145/3573428.3573566","url":null,"abstract":"Chatbots are changing the way consumers interact with businesses. However, chatbots continue to be widely perceived to lack a human touch and inevitably fail to deliver service. This paper argues that emerging research on AI empathy will address the lack of human touch in chatbots and provide new ideas for remedying chatbots service. By combing research from different disciplines, we argue that the connotations of chatbots empathy can be understood through a three-tier structure of transpersonal thinking, empathic care, and emotional empathy. Additionally, we find that chatbots empathy contains three dimensions: cognitive empathy, emotional empathy and behavioral empathy. These three dimensions are not mutually exclusive but rather complement each other to form the overall empathy capacity of chatbots. Based on the mediating mechanisms of social presence and trust and the moderating mechanism of technology readiness, we summarize a framework for the impact of chatbots empathy on consumers' willingness to forgive. This paper can further enrich the research on chatbots service remediation and improve companies' understanding and use of empathic remediation.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122097209","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

A low-complexity time delay estimation algorithm based on spectral factorization in OFDM system OFDM系统中一种基于频谱分解的低复杂度时延估计算法

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573751

J. Su, Ming Li, Yanli Hou

引用次数: 0

Data-Driven Online Academic Forecasting Development: – Current Hot Topics Analysis and Future Research Trends 数据驱动的在线学术预测发展——当前热点分析与未来研究趋势

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573623

Yan Li, Lingyan Liu

引用次数: 0

A 4H-SiC Trench MOSFET with the vertical field plate coupled floating island and two epi-layers 一种垂直场极板耦合浮岛和两外延层的4H-SiC沟槽MOSFET

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573537

W. Wang, D. Hu, Xintian Zhou, Yunpeng Jia, Yu Wu

{"title":"A 4H-SiC Trench MOSFET with the vertical field plate coupled floating island and two epi-layers","authors":"W. Wang, D. Hu, Xintian Zhou, Yunpeng Jia, Yu Wu","doi":"10.1145/3573428.3573537","DOIUrl":"https://doi.org/10.1145/3573428.3573537","url":null,"abstract":"A novel silicon carbide (SiC) U-shape trench MOSFET(UMOSET) with the vertical field plate coupled floating island structure (VFF-UMOSFET) is proposed. Double epitaxial layer is adopted. Simulations study is performed using Sentaurus TCAD. The effect of the field plate and floating island on the electric field distribution, breakdown voltage and specific ON-resistance (sRON, sp) are studies and the relationship between doping concentration and breakdown voltage in the first drift zone and the second drift zone is discussed respectively. The simulation results show that the VFF-UMOSFET with the vertical field plate coupled floating island structure exhibits a higher figure of merit related to the breakdown voltage and the specific on-resistance, which is improved by 37.5% and 65%, respectively, with comparison to the state-of-the-art source trench(ST-MOSFET) and reduce the peak of the electric field at the trench-gate bottom by 60%, compared with the standard UMOSFET, while effectively reducing the electric field at the field plate bottom. Finally, the optimization of parameters (field plate depth, floating island geometry) is discussed.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130618101","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

The Pre-ordering Model for Statistical Machine Translation of Enhancing the N-best Syntactic Knowledge 基于n -最优句法知识增强的统计机器翻译预排序模型

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573448

Junyan Liu

{"title":"The Pre-ordering Model for Statistical Machine Translation of Enhancing the N-best Syntactic Knowledge","authors":"Junyan Liu","doi":"10.1145/3573428.3573448","DOIUrl":"https://doi.org/10.1145/3573428.3573448","url":null,"abstract":"Syntactic heterogeneity between source and target languages has an important impact on the performance of Statistical Machine Translation (SMT). On the basis of phrase-based Chinese-English SMT, a method of source language pre-ordering based on N-best syntactic knowledge enhancement is proposed. First, the source language input sentences are analyzed by N-best Syntax, and the high reliability sub-tree structure is obtained by calculating statistical probability. Two optimization strategies are used to optimize the initial rule set: rule deduction and rule probability threshold control mechanism. Second, the source language phrase translation table is used as a constraint to control the sequence between phrases. Finally, the syntax analysis tree of the source-side sentences is pre-ordered. The experimental results of Chinese-English SMT based on the NIST 2005 and 2008 test data sets show that comparing to the baseline system, the BLEU score of automatic evaluation criterion of the N-best syntactic knowledge-enhanced SMT pre-ordering method increased by 0.68 and 0.83 respectively.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123975035","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

A high-resolution spaceborne SAR wave potential design method for large scene 大场景高分辨率星载SAR波势设计方法

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573591

B. Liu

引用次数: 0

Application of hybrid particle swarm optimization and genetic algorithm and 5G network slicing technology in intelligent transportation 混合粒子群优化与遗传算法及5G网络切片技术在智能交通中的应用

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573762

Xiaodie Wu, Na Zhu, Yukun Wang

{"title":"Application of hybrid particle swarm optimization and genetic algorithm and 5G network slicing technology in intelligent transportation","authors":"Xiaodie Wu, Na Zhu, Yukun Wang","doi":"10.1145/3573428.3573762","DOIUrl":"https://doi.org/10.1145/3573428.3573762","url":null,"abstract":"In this paper, an scheduling optimization scheme based on particle swarm optimization and genetic hybrid algorithm is designed for the poor performance and low efficiency of the traditional bus scheduling algorithm with the analysis and research of the current technology of bus scheduling system, which has been applied to the intelligent bus system integrating GPS/GIS, sensor technology, wireless communication, computer network and other technologies. In the research of the core technologies of the scheme, the computational mechanism and the merit-seeking characteristics of particle swarm and genetic algorithms are analyzed in depth, the advantages of the two algorithms are complemented, and the computational flow and the optimal timing for the fusion of the hybrid algorithms when searching for the final solution are determined. Finally, a correlation analysis of the hybrid algorithm is conducted, and it is concluded that it is significantly better than the current scheduling scheme with a single algorithm in terms of operational performance and solution efficiency. Additionally, it has integrated the concept of 5G network slicing, where a single network and computing infrastructure is used to deploy customized service slices that meet specific needs, in order to meet the specific service needs of different application scenarios of intelligent transportation systems (ITS).","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121303709","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

Design of real-time transmission system combined with object detection algorithm 结合目标检测算法的实时传输系统设计

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573747

Zhe Li, Zhicheng Yu, Mudan Zhou

{"title":"Design of real-time transmission system combined with object detection algorithm","authors":"Zhe Li, Zhicheng Yu, Mudan Zhou","doi":"10.1145/3573428.3573747","DOIUrl":"https://doi.org/10.1145/3573428.3573747","url":null,"abstract":"With the rapid development of robotics and artificial intelligence technology, robots are increasingly appearing in the rescue scene of natural disasters, terrorist activities and various types of unexpected accidents. If the rescue robot wants to complete the task quickly and accurately, the command personnel are crucial to the remote control of the robot. As the \"eye\" of the robot, image transmission technology is the key to realize the remote control of the robot. Image transmission is a technology that transmits the image from the robot's perspective to the operator in real time to assist the operator to achieve remote control. With the increasing complexity of the work involved in robots, the traditional real-time image transmission system is gradually difficult to meet the needs.In the traditional robot control system, there is a completely separate relationship between the acquisition of visual information and the control of motion, which leads to the inevitable hysteresis of motion control. In order to meet the new requirements of the robot image transmission system, this paper presents a design scheme of real-time image transmission system combined with object detection algorithm. The target coordinates identified by the algorithm are directly sent back to the motion control mechanism, and the visual information and motion control are directly connected to improve the overall response speed of the system. The specific implementation is to obtain the image data through ESP32, and then send it to the host through the network. The host realizes the target detection, and then sends the detection results back to ESP32 through the cloud server, and ESP32 transmits messages to the main control of the motion system. The design scheme has been tested in practice and has good recognition effect and stability.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121417881","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 Range Profile Target Detection Algorithm of Stepped-Frequency Ground Penetrating Radar 步进频率探地雷达距离像目标检测算法研究

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2022-10-21 DOI: 10.1145/3573428.3573759

Xinxin Zhang, Yanbo Zhang, Xiangdong Li, Xingwen Zhao, Guang Yan

引用次数: 0