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

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Research on image preprocessing based on 3D reconstruction of sequential X-ray images 基于序列x射线图像三维重建的图像预处理研究
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873632
Cong Gu, Hongjian Zhao, Pei Jia, Chenghua Tian, Lei Zhao, Lei Xu
{"title":"Research on image preprocessing based on 3D reconstruction of sequential X-ray images","authors":"Cong Gu, Hongjian Zhao, Pei Jia, Chenghua Tian, Lei Zhao, Lei Xu","doi":"10.1109/ICPICS55264.2022.9873632","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873632","url":null,"abstract":"The original X-ray images have problems such as high noise, narrow gray range, low contrast, and blurred edges, which seriously affect the reconstruction accuracy when using them for 3D reconstruction. Therefore, this paper explores the image preprocessing method of three-dimensional reconstruction of sequential X-ray images, an improved median filtering algorithm with adaptive neighborhood threshold is proposed, which effectively solves the problem of rapidly processing high pulse noise in X-ray images while retaining the edge detail features of the target, and then highlight the difference between the image target and the background through the histogram equalization method. Finally, the Canny operator is used to extract the edge of the target. Experiments show that the preprocessing process can effectively remove the noise of the X-ray image, better highlight the edge details of the target, and can extract clear edge information, which is convenient for subsequent 3D reconstruction work.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"137 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":"134525839","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
Technical Supervision of Harmonic and Typical Accident Analysis in Wind Farm 风电场谐波技术监督与典型事故分析
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873573
Yu Liu, B. Cao, Liqiang Wang, Cheng Wang
{"title":"Technical Supervision of Harmonic and Typical Accident Analysis in Wind Farm","authors":"Yu Liu, B. Cao, Liqiang Wang, Cheng Wang","doi":"10.1109/ICPICS55264.2022.9873573","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873573","url":null,"abstract":"The large-scale access of wind power generation has brought an unprecedented impact on the power system, especially on the power quality. Harmonics will inevitably be generated by wind farms during operation and affect the normal and safe power supply and stable operation of power system, endanger personal safety and reduce economic efficiency. In this paper, the necessity of harmonic technical supervision of wind farm is emphasized, and the the contents of harmonic technical supervision is introduced. In addition, a typical harmonic accident in a wind farm is analysed to illustrate how harmonic causes losses to wind farm and power system, and some suggestions are put forward for the wind farms.","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":"134398350","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
POTDP: Research GPU Performance Optimization Method based on Thread Dynamic Programming 基于线程动态规划的GPU性能优化方法研究
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873685
Xiong Wei, Qian Hu, Li Li
{"title":"POTDP: Research GPU Performance Optimization Method based on Thread Dynamic Programming","authors":"Xiong Wei, Qian Hu, Li Li","doi":"10.1109/ICPICS55264.2022.9873685","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873685","url":null,"abstract":"GPU is widely used in high-performance computing such as big data and artificial intelligence because of its high concurrency and high throughput. With the development of VLSI technology, more and more processing units are integrated on chip. High power consumption increases the operating cost of equipment, reduces the battery life and reliability of integrated circuit chip, which seriously restricts the improvement of integrated circuit chip performance and restricts the expansion and application field of parallel systems. In view of the above problem, this paper proposes a data dependent GPU power management method– DDPM to reduce the power con-sumption of GPU system. The experimental results of DDPM show that compared with the shared aware data management method, DDPM improves the L1 cache hit rate by 2.8%, reduces DRAM data transmission capacity by 5%, and improves the average energy efficiency by 4.67% compared with MC-aware-ORI, MC-aware-LoSe and MC-aware-SiOb.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"2 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":"125204415","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 Integrated Platform System of Satellite Remote Sensing Positioning UHV 3D Panoramic Dynamic Visualization Simulation 卫星遥感定位特高压三维全景动态可视化仿真综合平台系统研究
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873559
Long Li, Xiang Li, Zhimin Yin, Weiyong Yu, Chengguang Miao
{"title":"Research on Integrated Platform System of Satellite Remote Sensing Positioning UHV 3D Panoramic Dynamic Visualization Simulation","authors":"Long Li, Xiang Li, Zhimin Yin, Weiyong Yu, Chengguang Miao","doi":"10.1109/ICPICS55264.2022.9873559","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873559","url":null,"abstract":"The visualization simulation of satellite system plays an important role in the engineering practice of satellite system design, analysis and evaluation. The article first proposes a system architecture considering satellite mission demonstration and verification of main technical indicators. The article stores the massive Instar monitoring result data according to the naming convention, and publishes it on the visualization platform of transmission line geological disaster monitoring, early warning, and decision analysis. We organize and analyze the monitoring results and superimpose the basic data. In this way, a thematic map of the InSAR deformation monitoring results of the transmission tower and the surrounding surface is formed. The experimental results intuitively demonstrate the functional characteristics of the satellite configuration, working mode, on-orbit status, imaging capability, etc., and also verify the correctness of technical indicators such as attitude control capability, working mode, and imaging mode. The designed simulation system can meet the real interaction, real-time and accuracy requirements of the system, and has a good sense of immersion and high reliability.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"25 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":"133627841","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
Small object detection in UAV image based on slicing aided module 基于切片辅助模块的无人机图像小目标检测
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873603
Hengshan Zong, Hongbo Pu, Haolong Zhang, Xingyu Wang, Z. Zhong, Zeyu Jiao
{"title":"Small object detection in UAV image based on slicing aided module","authors":"Hengshan Zong, Hongbo Pu, Haolong Zhang, Xingyu Wang, Z. Zhong, Zeyu Jiao","doi":"10.1109/ICPICS55264.2022.9873603","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873603","url":null,"abstract":"Unmanned aerial vehicles (UAVs) play an increasingly important role in today’s life, and play a pivotal role in many fields such as remote sensing, command, and agriculture. UAVs have the advantages of high-altitude hovering, compactness and convenience, and are one of the most ideal platforms for taking photos in the air. Since the drone can shoot at high altitude, the target object in the image is often small in size, which is easy to cause it to be blurred and difficult to distinguish. With the development of artificial intelligence technology, the application of computer vision technology to build deep learning models can automatically identify large-scale and small targets from UAV images. Although this field has been concerned by many scholars, how to deploy small target detection on UAVs and apply it to command and control remains to be studied. To this end, this study proposes a small object detection method based on a slicing aided module to automatically detect objects from UAV images. The proposed method can be widely used in scenarios such as on-site command and control, which is of great significance for the further wide application of UAVs.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"25 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":"127650168","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 Anti-sorting Signal Design Technology based on Precise Combination of Stagger Signal PRI 基于错开信号PRI精确组合的反分选信号设计技术研究
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873642
Jinwei Jia, Limin Liu, Zhuangzhi Han
{"title":"Research on Anti-sorting Signal Design Technology based on Precise Combination of Stagger Signal PRI","authors":"Jinwei Jia, Limin Liu, Zhuangzhi Han","doi":"10.1109/ICPICS55264.2022.9873642","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873642","url":null,"abstract":"With the increasing informatization and intelligentization of modern war, electronic warfare is becoming the key to win the war. Improving the anti-reconnaissance performance of radar is an important means to enhance radar electronic countermeasures. Aiming at the sequence difference histogram algorithm, which is widely used in the field of signal sorting, and from the point of view of destroying the sorting and pulse retrieval of the irregular signal, reasonable and accurate combination design of the pulse repetition period of the irregular signal can achieve the target of anti-sorting. 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":"31 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":"115477223","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
Short-term Power Load Forecasting based on Feature Fusion of Parallel LSTM-CNN 基于并行LSTM-CNN特征融合的短期电力负荷预测
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873566
Cheng Li, Rong Hu, Chih-Yu Hsu, Yu Han
{"title":"Short-term Power Load Forecasting based on Feature Fusion of Parallel LSTM-CNN","authors":"Cheng Li, Rong Hu, Chih-Yu Hsu, Yu Han","doi":"10.1109/ICPICS55264.2022.9873566","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873566","url":null,"abstract":"Accurate power load forecasting is beneficial to grid scheduling and operation. In order to fully exploit the potential relationship between load and feature. This research suggests a short-term power load forecasting strategy based on feature fusion to increase prediction accuracy, which combines parallel LSTM and CNN. The model first determines the optimal features of the model input through the random forest method and mutual information method, then classifies the features, and inputs the classified categories into the parallel LSTM modules respectively, and then uses the CNN network to output the neural network of different LSTM modules at the same time. The elements are convolved to extract the features of each moment, finally get the prediction result through the fully connected layer. The results of two short-term power load forecasting cases show that the proposed method's prediction effect outclasses existing methods. with model evaluation parameter MAPE of 1.367% and 0.974% respectively.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"79 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":"117038093","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: 3
Research on Power Communication Defect Diagnosis Technology based on Unsupervised Learning 基于无监督学习的电力通信缺陷诊断技术研究
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873572
Muwei Wang, Yan Liu, Jiaojiao Dong
{"title":"Research on Power Communication Defect Diagnosis Technology based on Unsupervised Learning","authors":"Muwei Wang, Yan Liu, Jiaojiao Dong","doi":"10.1109/ICPICS55264.2022.9873572","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873572","url":null,"abstract":"In order to study the power communication defect diagnosis technology based on unsupervised learning, four methods of alarm merging technology, artificial intelligence technology, unsupervised learning technology and graph data mining technology were analyzed. Four technical routes were positioned and graded, and the subject was tested and studied. For alarm data, a self-learning algorithm based on unsupervised clustering and frequent subgraph mining to realize alarm merging and defect pattern discovery is proposed, and a framework for automatic defect diagnosis and disposal is designed. The architecture has good scalability and iterative update ability, and is verified by experiments on real scene datasets, and the results show good performance.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"108 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":"129520052","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
Calculation and Control Separation for Urban Traffic Unified Signal Control Research 城市交通统一信号控制的计算与控制分离研究
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/icpics55264.2022.9873742
Liang Wang, Xiao Zhang, Qianli Dong, Zitong Yang
{"title":"Calculation and Control Separation for Urban Traffic Unified Signal Control Research","authors":"Liang Wang, Xiao Zhang, Qianli Dong, Zitong Yang","doi":"10.1109/icpics55264.2022.9873742","DOIUrl":"https://doi.org/10.1109/icpics55264.2022.9873742","url":null,"abstract":"For interconnection of multi brand signal control systems and signal controllers, to break data barriers of signal controllers, this article propose a design method for calculation and control separation for urban traffic unified signal control. To compatible with multi brand signal control systems and signal controllers, realize unified connection and control of multi brand signal control systems, connect control strategy of optimization platform base internet data. To coordinate and control traffic signal lights, balance traffic flow of urban road network, minimize car stops and delays, maximize benefits of traffic signal control.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"86 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":"129699433","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
An Analysis Method of GIS Equipment Fault Causes based on Online Monitoring and Joint Diagnosis 基于在线监测和联合诊断的GIS设备故障原因分析方法
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873575
Shuji Liu, Jinpeng Liu, Xingshan Wang
{"title":"An Analysis Method of GIS Equipment Fault Causes based on Online Monitoring and Joint Diagnosis","authors":"Shuji Liu, Jinpeng Liu, Xingshan Wang","doi":"10.1109/ICPICS55264.2022.9873575","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873575","url":null,"abstract":"GIS equipment has the characteristics of compact structure, small occupied space, stable performance, simple maintenance and not easy to be disturbed by the external environment. It has been widely used in power system. In this paper, a GIS equipment fault early warning found by the online monitoring system is analyzed, and the technical means such as ultra-high frequency, ultrasonic, analysis of SF6 gas composition and X-ray imaging are jointly applied to diagnose and locate, and the discharge defects are disassembled and confirmed. It is concluded that the loosening of the shield caused by the loosening of the screw leads to the failure. This paper analyzes the complete process of fault diagnosis and confirming the cause in detail, verifies the important role of the combination of multi technology joint diagnosis and on-line monitoring, and puts forward improvement measures for GIS equipment installation, operation and maintenance.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"5 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":"128347886","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
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