2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)最新文献_第2页

Research on Obstacle Avoidance Algorithm of Multi-UAV Consistent Formation Based on Improved Dynamic Window Approach 基于改进动态窗口法的多无人机一致编队避障算法研究

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777606

Shuai Zhang, Minjie Xu, Xinhua Wang

{"title":"Research on Obstacle Avoidance Algorithm of Multi-UAV Consistent Formation Based on Improved Dynamic Window Approach","authors":"Shuai Zhang, Minjie Xu, Xinhua Wang","doi":"10.1109/IPEC54454.2022.9777606","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777606","url":null,"abstract":"The artificial potential field method is widely used in UAV formation and obstacle avoidance due to its concise algorithm and easy implementation, but it is easy to fall into a local optimal solution in a large-scale environment, and the algorithm does not consider the kinematics of the controlled object; this paper proposes An improved dynamic window approach, considering the UAV kinematics model, realizes the effective obstacle avoidance of UAV formations under the consistency algorithm. Firstly, the target distance correction azimuth angle evaluation function is introduced, and the A star algorithm is integrated to replace the fixed weight of the azimuth angle evaluation function, which improves the search ability of the UAV to navigate to the target point in the unknown environment. Secondly, a new rotation cost is added to the evaluation function, and a penalty is imposed on the large rotation angle to ensure the smoothness of the trajectory. Then, the improved obstacle avoidance strategy is applied to the leading-following consistent formation algorithm, which can effectively achieve formation keeping, obstacle avoidance and collision avoidance between aircraft in unknown environments. Finally, the simulation verification based on Matlab shows that the proposed improved dynamic window strategy can significantly improve the UAV path planning and obstacle avoidance ability in the location environment, and it can be applied to the consistent formation algorithm while maintaining the formation.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123859917","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: 2

Analysis and Research on Engine Rail Pressure Overrun 发动机轨压超限分析与研究

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777615

W. Shuliang

引用次数: 0

High Gain Buck-Boost Converter with Active Coupled Inductor Structure 具有有源耦合电感结构的高增益降压-升压变换器

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777316

Yan Gao, Zibo Zhou, Daoming Xu, Wei Han, S. Xia

{"title":"High Gain Buck-Boost Converter with Active Coupled Inductor Structure","authors":"Yan Gao, Zibo Zhou, Daoming Xu, Wei Han, S. Xia","doi":"10.1109/IPEC54454.2022.9777316","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777316","url":null,"abstract":"In order to improve the voltage gain of conventional Buck-Boost converter and reduce the voltage stress of switching tube, a high gain buck-Boost converter with active coupling inductor structure was proposed. The converter combines the traditional Buck-Boost converter with the equivalent Buck-Boost converter, adding the switching capacitor mixed group structure to greatly improve the voltage gain of the converter, and introducing the coupling inductor structure to reduce the voltage stress of the switching tube. The different working modes of the converter are analyzed and the expressions of voltage gain and voltage stress of the switching device and the critical working conditions of the excitation inductor are derived. Compared with conventional Buck-Boost converters, the voltage gain of the converter is increased by a factor of (5+D+2n)/D , and the voltage gain can be flexibly adjusted by the turn ratio n. The voltage stress of the switching device is reduced to 1/(5+D+2n) times the output voltage. Finally, the correctness of the theoretical analysis is verified by simulation and experiment.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123652431","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

Ship target detection based on adverse meteorological conditions 基于不利气象条件的船舶目标探测

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777435

Jing Lv, Dongke Liu

引用次数: 1

Design of Stadium Building Energy Consumption Monitoring System Based on Data Acquisition Technology 基于数据采集技术的体育场馆能耗监测系统设计

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777411

Jinzheng Liu, Yingwei Zhu

{"title":"Design of Stadium Building Energy Consumption Monitoring System Based on Data Acquisition Technology","authors":"Jinzheng Liu, Yingwei Zhu","doi":"10.1109/IPEC54454.2022.9777411","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777411","url":null,"abstract":"With the advancement of China's urbanization process, the amount of building energy consumption is gradually increasing every year, building energy consumption accounts for about one-third of the annual total energy consumption, the total amount is huge and there is a lot of energy waste, so the energy conservation of building energy consumption has become an important part of the \"energy conservation and emission reduction\" work. Before making plans for building energy conservation, the relevant data of energy consumption within the whole system need to be obtained first, so the building energy consumption monitoring system arises at the historic moment. In this paper, the overall design of building energy consumption monitoring system for stadiums and gymnasiums is based on data acquisition technology. The building energy consumption monitoring system required by this project mainly includes comprehensive collection of electricity and water consumption data of the whole stadium, classified statistics of the collected energy consumption data of each floor, and output various daily, monthly and annual reports. Finally, through the performance test of the system, the feasibility of the system is verified to meet the needs of users on the system.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124058603","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 Progress on the Application of Machine Learning in Power System Security 机器学习在电力系统安全中的应用研究进展

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777552

Gan Wang, Heng Li

{"title":"Research Progress on the Application of Machine Learning in Power System Security","authors":"Gan Wang, Heng Li","doi":"10.1109/ipec54454.2022.9777552","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777552","url":null,"abstract":"Machine learning is considered to be an emerging technology that can be widely used. The construction of power system has always been an important field of social livelihood security and development in China. In recent years, the application of machine learning in power system security has also made great progress in the environment of increasing attention to the research on the intersection and integration of machine learning and various disciplines. According to the latest progress, the application of machine learning in this field is mainly divided into hardware layer and software layer. The research on security guarantee of hardware layer mainly focuses on the prediction and evaluation of transient stability and load forecasting, while the research on software layer mainly focuses on network attack detection, and most of the research focuses on model and method innovation. Using machine learning to quickly evaluate and predict the operation state of power system, so as to realize in-depth analysis and facilitate the operation and maintenance personnel to make appropriate human intervention, which can represent the current research trend of machine learning in the field of power system security.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122250200","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

Facility tomato picking system based on shelf life prediction and fruit maturity discrimination 基于货架期预测和果实成熟度判别的设施番茄采摘系统

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777419

L. Luo, Wei Sun, Shanshan Cao, Jifang Liu, Fantao Kong

引用次数: 0

Yolo Target Detection Algorithm in Road Scene Based on Computer Vision 基于计算机视觉的道路场景Yolo目标检测算法

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777571

Haoming He

{"title":"Yolo Target Detection Algorithm in Road Scene Based on Computer Vision","authors":"Haoming He","doi":"10.1109/ipec54454.2022.9777571","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777571","url":null,"abstract":"Using artificial intelligence, computer vision and other technologies, cars can monitor driving conditions to ensure safety or assist driving. As a driver’s primary task, finding a parking space is equivalent to “eyes”, which need to identify cars and pedestrians in front of the road. The purpose of this paper is to study the Yolo object detection algorithm for road scenes based on computer vision. This paper expounds the research basis and importance of road object detection, as well as the status quo of traditional road object detection, and deeply studies the progress of road object detection optimization. For the analysis of related technologies, firstly, the grayscale of the image is introduced, then the binarization of the image is introduced, and finally the YOLOv4 is analyzed in detail. The software and hardware environment used in the experiment is introduced, the image collection and label labeling process in the data set used in the experiment is described, and the evaluation indicators commonly used to evaluate target detection algorithms are introduced. Through the comparison of FasterR-CNN, SSD and YOLOv4, The average accuracy rate (mAP) of YOLOv4 reaches 87.2%, which meets the requirements of autonomous vehicles.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"770 Pt A 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132132924","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

Simulation on tread Rubber Cutting Resistance of Aircraft tire 航空轮胎胎面橡胶切削阻力仿真研究

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777405

Long Chen

{"title":"Simulation on tread Rubber Cutting Resistance of Aircraft tire","authors":"Long Chen","doi":"10.1109/IPEC54454.2022.9777405","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777405","url":null,"abstract":"With the development of aerospace industry, the take-off speed, landing speed and load of aircraft suffered by the aircraft are getting larger and larger. The requirements for tire performance are also getting higher and higher, especially for large aircraft tires. Aircraft tires as the only grounding parts of aircraft, plays an important role in aircraft safety. Due to the large aircraft landing speed, aircraft tires leaving a black mark on the ground when contacting with it, which is the rubber particles caused by the severe wear between the rubber and various sharp objects under the conditions of high temperature, high pressure and high speed difference. Abrasion resistance at high speed is an important indicators of aircraft tires, which is a direct impact on the safety of the tire. Therefore, the aircraft tire tread rubber is used as the research object in this paper, the high-speed cutting is used to characterize the wear resistance of the tread rubber and different sharp objects in the high-speed landing of the aircraft tire. Based on the Mooney-Rivilin constitutive model of rubber, a high-speed cutting model of tread rubber and different sharp objects was developed by ABAQUS software. The cutting performance of different sharp objects and tread materials was systematically studied under different tool angles and speed, which can evaluate the wear resistance of tread rubber in this harsh environment. Results indicated that the cutting force, cutting temperature have great relevance to the cutting resistance of tread rubber, which can be used to characterize the wear resistance of aircraft tires under harsh environment.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130473799","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 charging pile charging control unit based on AM3354 基于AM3354的充电桩充电控制单元设计

2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777605

Haohan Zhen, Lei Yu, Hua Shen, Haibin Chen, Tao Tong, Dongjun Han, Qiang Zhou

引用次数: 0