2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)最新文献_第4页

A real-time gait phase detection method for lower limb exoskeleton based on simple recurrent units 基于简单循环单元的下肢外骨骼实时步态相位检测方法

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142380

Yuxuan Zhao, YU Wang, Chengyu Zhang, Yibing Liao, Jiaxuan Li, Yifan Gao

引用次数: 0

Efficient and Privacy-Preserving Range Queries over Outsourced Cloud 外包云上高效且保护隐私的范围查询

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142775

Chuan-Yih Chen, Dawei Tian, Lu Li

引用次数: 0

Context Similarity-Enabled CU Partitioning Algorithm in VVC VVC中启用相似度的CU分区算法

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142615

Jiayuan Jin, Xiantao Jiang, Tian Song, F. Richard Yu, WeiLi, Jin Liu

引用次数: 0

Fair Contract Signing Model Based on Blockchain and VES Algorithm 基于区块链和VES算法的公平合同签订模型

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142628

Guiwen Wang, Yimin Yu, Zhiming Song, Tao Fu

引用次数: 0

Thermal characteristic analysis of integrated circuit package design and silicon chip health status evaluation considering the inverter heat source 考虑逆变器热源的集成电路封装设计热特性分析及硅片健康状态评估

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142931

Feijie Huang, Zhijie Ruan, Jiahe Wang, Qiulei Hu, Qihui Zuo, Yonghu Ma

{"title":"Thermal characteristic analysis of integrated circuit package design and silicon chip health status evaluation considering the inverter heat source","authors":"Feijie Huang, Zhijie Ruan, Jiahe Wang, Qiulei Hu, Qihui Zuo, Yonghu Ma","doi":"10.1109/CISCE58541.2023.10142931","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142931","url":null,"abstract":"The problem of thermal characterization planning of integrated circuits (ICs) is the key to limiting the further improvement of chip function and performance. However, as a commonly used frequency control device in ICs, inverters are also one of the main factors affecting the thermal characteristics of integrated circuit chips. Their improper packaging methods will increase the burden of thermal characteristic planning schemes. Therefore, this paper establishes the heat transfer model of integrated circuit packaging based on considering the heat source of the inverter and uses the finite element method to simulate and analyze the influence of the inverter on the chip temperature in different mounting areas and under different operating conditions. Based on the model simulation data, the thermal state of the chip was evaluated by a support vector machine (SVM) optimized by the Sparrow Search Algorithm (SSA). The evaluation results show that the optimal package location of the inverter should be as far away from the chip and benign thermally conductive materials as possible, and the computational efficiency and classification accuracy of SSA-SVM are improved by 147.67% and 20%, respectively, compared with traditional SVM.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126783563","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 Error Evaluation of Capacitive Voltage Transformer Based on EMD-LSTM 基于EMD-LSTM的电容式电压互感器误差评估研究

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142695

Huanhuan Fang

{"title":"Research on Error Evaluation of Capacitive Voltage Transformer Based on EMD-LSTM","authors":"Huanhuan Fang","doi":"10.1109/CISCE58541.2023.10142695","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142695","url":null,"abstract":"Capacitive voltage transformer (CVT) is a kind of electrical isolation and metering equipment. At present, the most widely used type of gateway voltage transformer in high-voltage and ultra-high voltage power grids is capacitive voltage transformer. The evaluation of its error determines the fairness and quality of the electric energy market. The safety of the power system. In this paper, by analyzing the error characteristics of the gateway voltage transformer, the error formation mechanism is analyzed and determined, and the deep learning algorithm is used to evaluate the error. Before the evaluation, the empirical mode decomposition method is used to decompose the characteristics of the monitoring data of the voltage transformer, and the components containing different time scale information are extracted. Each component is predicted using the long-short-term memory (LSTM) network, and finally the prediction result is obtained. At the same time, to avoid sudden changes caused by fluctuations and noise, multi-step averaging is used to reduce the possibility of misjudgment. The final false alarm rate is reduced to 0.1790%, improving the performance of the prediction.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131230208","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

Heterogeneous IoT Information Distributed Collection System Based on Embedded Technology 基于嵌入式技术的异构物联网信息分布式采集系统

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142453

Yu Mu

{"title":"Heterogeneous IoT Information Distributed Collection System Based on Embedded Technology","authors":"Yu Mu","doi":"10.1109/CISCE58541.2023.10142453","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142453","url":null,"abstract":"The development of artificial intelligence and Internet of Things technology provides a solution to the data problem of remote data acquisition. It plays a vital role in many application scenarios, such as robot control, industrial automation and so on. How to develop the application results of artificial intelligence and Internet of Things data collection has become an important issue in the current system development. In this paper, a data processing model based on low priority queue and neat queue is proposed. Considering the structural framework of Kafka, the security of database data is guaranteed. The high priority of data and the communication response capability of small data volume are further improved. In the aspect of custom protocol, this paper considers the network setting protocol of device side and server side to solve the problem of packet parsing. On the Netty layer, considering the rule of judging threads established by Netty, this paper designs a judging mechanism for dynamic thread adjustment. Finally, through the simulation test platform, compared with the traditional difference prediction method, it is verified that the transmission model designed in this paper is closer to the actual value. The response effect of data processing in different priority levels is improved, which proves that the transmission scheme established in this paper can better solve the problem of network communication information queue priority sorting, and has higher analytical ability for data weight prediction. It contributes to the application of data communication in the Internet of Things and can be used for reference in the construction of the Internet of Things in different industries.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132768299","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 path planning of TangentBug algorithm with adaptive detection radius 自适应检测半径的TangentBug算法路径规划研究

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142345

Tianguo Li, Yushu Lai, Chenglong Yang, Yumei Zhu, Chuo Mei, Qingchuan Fu

引用次数: 0

The design of a portable pulse diagnosis device based on Raspberry Pi 基于树莓派的便携式脉搏诊断装置的设计

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142783

Binbin Ding, Lazhava Ta, Wei Sun

引用次数: 0

Renewable Energy Output Prediction Method Based on Recurrent Neural Network of Double Attention Mechanism 基于双注意机制的递归神经网络可再生能源产量预测方法

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142746

Baosheng Chen, Yan Yang, Dongni Wei, Caijuan Qi, Weiqi Zhang

{"title":"Renewable Energy Output Prediction Method Based on Recurrent Neural Network of Double Attention Mechanism","authors":"Baosheng Chen, Yan Yang, Dongni Wei, Caijuan Qi, Weiqi Zhang","doi":"10.1109/CISCE58541.2023.10142746","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142746","url":null,"abstract":"In recent years, the implementation of the concept of sustainable development, new energy is widely connected to the grid. However, the power generation of wind power, photovoltaic and other renewable energy sources is influenced by external factors and has obvious volatility and intermittency. The time series of electrical energy output in the system is a typical non-stationary signal, which is difficult to predict accurately. In order to improve the prediction accuracy of the short-term renewable energy output prediction model from the data level, a recurrent neural network based on a dual-attention mechanism (DA-RNN) is established in this paper. In the encoder stage, the input features are extracted based on the driving sequence. In the decoder stage, the importance weights of relevant encoder information on time are adaptively optimized when predicting the target sequence. Through the prediction experiments of solar power and wind power, the method used in this paper has improved the prediction accuracy compared with the statistical method and LSTM, and can effectively smooth out the volatility of new energy production.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"421 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131980617","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