2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)最新文献

{"title":"Improved Genetic Algorithm for Substation Location Optimization","authors":"Ying Liu, Bin Sun, L. Wang, Bin Wang, Yu Zhang","doi":"10.1109/ICPICS55264.2022.9873545","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873545","url":null,"abstract":"Aiming at the substation location optimization with multi constraints and multi indexes, an improved genetic algorithm is proposed. Combined with the characteristics and requirements of substation location, the real number coding strategy and elite retention scheme are adopted. The minimum annual cost of substation planning is regarded as the fitness to realize the adaptive search of spatial solution in spatial range, which can effectively solve the problems of local optimal solution and premature. The probability of mutation and crossover is determined according to individual fitness differentiation, which improves the convergence speed and solution accuracy of the algorithm. The example results show that the algorithm has good optimization ability, convergence characteristics, simple operation and fast running speed. It can better meet the needs of substation location selection.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129419417","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 Real-Time Computational Task Scheduling Algorithm for Nuclear Power Plant","authors":"Kui Xu, Lixia Guo, Yinggang Jing, Shuan He, Fan Zhang, Yang Lan","doi":"10.1109/ICPICS55264.2022.9873565","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873565","url":null,"abstract":"Nuclear power industrial Internet is a system that can analyze the data generated by nuclear power plants. Real-time Computational tasks refers to the calculations which is used to deal with alarms, equipment status, situations and etc. This paper focuses on the issue of scheduling computational tasks. An improved Min-min scheduling algorithm which called B-Min-min is introduced. Then we present an analysis on the model of task scheduling, where load balance especially the maximum usage of a node is considered. We evaluate these approaches by simulation and the final results are presented based on different parameters. simulation results shows that system is better load balanced.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129609554","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":"Anti-sorting Signal Design Applied to Radio Frequency Stealth Radar based on Pulse Repetition Interval Slide","authors":"Jinwei Jia, Limin Liu, Zhuangzhi Han","doi":"10.1109/ICPICS55264.2022.9873748","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873748","url":null,"abstract":"With the extensive application of wireless equipment, electronic warfare is becoming the key to winning modern wars. Improving the anti-reconnaissance performance of radar is an important means to enhance radar electronic countermeasures. And anti-sorting signal design can fundamentally enhance the anti-reconnaissance capability of radar. Aiming at the sequence difference histogram algorithm widely used in signal reconnaissance, the anti-sorting signal is designed from the point of destroying the estimation value of signal pulse repetition period by sorting algorithm. In this paper, the working steps of the sequential difference histogram sorting algorithm are firstly sorted out and the key steps of the algorithm for signal sorting are analyzed. Then the signal design scheme is proposed. Finally, the simulation results show that the designed signal can effectively counter the sorting algorithm.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129612301","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":"Power Transformer State Identification Method based on Operational Deflection Shapes and Visual Measurement Technology","authors":"W. Peng, H. Tian, Yu Huang, Mingyu Jin, Yang Zhang, Xiao Wang","doi":"10.1109/ICPICS55264.2022.9873804","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873804","url":null,"abstract":"To effectively identify the working state of the power transformers, a state identification method based on operational deflection shapes (ODS) and visual measurement technology is proposed. Firstly, a high-speed camera is used to obtain the vibration video image of the measured structure, and then, the dense optical flow method in the visual measurement technology is used to capture the transformer motion information. Finally, the ODS cloud image of the measured structure is obtained. The feasibility of this method is verified by the cantilever beam vibration experiment. The proposed method is applied to the vibration analysis of power transformers, and the operational deflection shapes of the equipment are obtained under the corresponding conditions by simulating the loosening conditions of transformer bolts in different degrees. The experiment results show that the method in this paper can effectively characterize different working conditions of power transformers and provide a reliable state analysis for them.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122025654","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":"Decentralized Identity and Password Authentication System based on Block Chain","authors":"Zhao Yun, Cui Chao, Wang Haoling, Liu Tao, Jiang Hefang","doi":"10.1109/ICPICS55264.2022.9873634","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873634","url":null,"abstract":"The most widely used user authentication method on the Internet is abstract password authentication, That is to say, the user and his name - password to each server established, and then use it to authenticate. Although they are widely used because of their simple operation and high experience, the security of authentication provided by them is not high, and the server operator is positioned as a trusted party who can fully control the user’s identity. To solve this problem, many identity recognition systems adopt the concepts of public key encryption and decentralization,but the requirement that users generate and manage public and private key pairs, and that users often do not have such expertise, has become a key factor in the failure of PKI for many end users. To sum up, this paper proposes a decentralized identity and password authentication system (DIA) based on block chain as an identity and authentication framework. Users can register their own user name password pairs and use them as general credentials. The system provides a global name space, meaningful user names, and the ability to resist user name conflict attacks. User’s identity to any server can be applied to authenticate a user, to the server without having to disclose any information relating to the password,, so it is impossible to carry out offline dictionary attack on the password.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116199099","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 Lightweight Network for Remote Sensing Image Cloud Detection","authors":"Yao Zheng, Wan Ling, Tao Shifei","doi":"10.1109/ICPICS55264.2022.9873537","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873537","url":null,"abstract":"Based on the U-Net encoding and decoding structure, a more improved version of this model can be developed. An improved version of this encoder-decoder model has been developed based on the U-Net encoder-decoder structure. First of all, we replace all convolutions in the model with depthwise separable convolutions in the end-to-end training phase in order to reduce the total number of parameters and computations in the model. The second part of the work proposes the use of a Bottleneck Coordinate Attention Module (BCAM) in order to overcome the problems caused by depthwise separable convolutions being a source of accuracy reductions. By combining the advantages of both the Bottleneck Residual Block (BRB) and Coordinate Attention Mechanism (CAM), BCAM is able to extract deeper features in higher-dimensional space as well as embed coordinate information into the channel attention mechanism in order to extract more information over a wider area. As a result of the experimental results, it has been found that the parameters of the proposed method have declined by approximately 65% when compared to U-Net, and the proposed method achieves an intersection rate of 91.2% when compared to U-Net.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125993658","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 recurrent neural network model for sign language classification","authors":"Yang-Jing Zhou, Lijuan Cao, Chongxing Ji, Jianpeng Xu, Zexuan Li","doi":"10.1109/ICPICS55264.2022.9873597","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873597","url":null,"abstract":"Sign language classification is the most critical task of sign language information recognition. This task involves the extraction of information features of sign language materials. It mainly focuses on describing the underlying features of sign language and improving the accuracy of sign language classification. The sign language classification model based on recurrent neural network has the problems of complex model input data processing, complex network model and slow training speed. This paper presents a classification model based on recurrent neural network bidirectional long-term and short-term memory network and puts forward an optimized scheme from network data processing, network structure and network training method. Experiments show the effectiveness of the proposed model.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121498797","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":"Research on three-phase unbalance decrease of distribution network based on SVG","authors":"Chu Jianwei, Sun Dong, Lu Yue, Yu Peixu, Du Guoguang, Pu Yongxin, Gao Zichen","doi":"10.1109/ICPICS55264.2022.9873643","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873643","url":null,"abstract":"Aiming at various unbalanced load added to the Electric System, Which lead to the three-phase current imbalance problem, Based on the existing solutions, the Static Var Generator (SVG) is proposed to balanced three-phase current, Whose control structure and working principle are introduced, and the simulation test platform is built. the results of which show that the device has good dynamic balance performance, reducing the reactive power and improving power factor at the same time, which greatly improved the power quality.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127413708","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":"Home intelligent assistance mobile robot for the elderly","authors":"Zhibo Wang, Guangyu Chen","doi":"10.1109/ICPICS55264.2022.9873607","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873607","url":null,"abstract":"With the continuous development of human economy and society, the continuous improvement of material civilization, and the continuous improvement of people’s living standards, the quality requirements for living households are also constantly improving. The use of machines to replace people to complete tasks such as cleaning and sanitation in the home, and to release people from the complicated housework has become the life concept of more and more people nowadays. At present, most of the home service robots are mainly disabled robots and housework robots such as sweeping robots. The functions are relatively simple. A family often needs to be equipped with multiple robots to meet people’s needs, and the cost is high. In addition, there are still many manual labors in the family that need to be done by people, such as carrying heavy objects, knocking nails, screwing screws, etc. Now that all work is becoming more intelligent and automated, people are eager to do these tasks by machines. In 2019, the “Joint Tips for Preventing Falls for the Elderly” jointly issued by seven institutions including the Chinese Society of Gerontology and Geriatrics, the Chronic Disease Center of the Chinese Center for Disease Control and Prevention, and the Beijing Institute of Geriatrics of the National Health Commission showed that falls are the most common cause of falls in my country. The number one cause of injury death among people over 65 years of age. Falls are a serious threat to the health of the elderly. The main cause of traumatic fractures in the elderly is falls. More than half of the elderly who visit medical institutions due to injuries each year are caused by falls. At the same time, the older the elderly, the higher the risk of injury or death from falls. Based on the above background, we designed this multi-purpose household auxiliary mobile robot. This robot has three forms, and is equipped with a handling robot arm and a blessing robot. Through deformation, the mechanical leg straightens and enters the standing state, which can help middle-aged and young people in the family to complete some physical tasks such as carrying heavy objects; when the mechanical leg is folded, the machine can be used as a movable chair to assist the elderly to move, and one-time handling More items; when the device is transformed into a car shape, it can help family members to move quickly.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131060817","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":"Learning to navigate on the rough terrain: A multi-modal deep reinforcement learning approach","authors":"Bo Zhou, Jian Yi, Xinke Zhang","doi":"10.1109/ICPICS55264.2022.9873725","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873725","url":null,"abstract":"How to enable safe navigation of unmanned vehicles on complex and rough terrain is challenging and meaningful research. In this paper, we propose an end-to-end reinforcement learning local navigation method with multi-modal data fusion, which effectively combines the intrinsic perception, such as Inertial Measurement Unit (IMU) measurements, and the extrinsic perception, such as Three-dimensional (3D) point clouds and images, of an unmanned vehicle. A specific feature extraction network is constructed for each modal data, and the total network is effectively trained using a modal separation learning method. The experimental results show that the proposed method can effectively address various obstacles such as rough roads, vegetation obstacles, and water pool disturbances to achieve autonomous and safe navigation of unmanned vehicles in off-road scenarios.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128534596","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}