2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)最新文献_第5页

LED instrument screen character recognition detection based on machine vision 基于机器视觉的LED仪表屏幕字符识别检测

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362722

Wang Yu, Wu Zhiheng, Chen Qiyu, Liao Fei, Li Ping, Tong Jigang, Luo Liangchuan

引用次数: 1

Imprecise Reliability Analysis for Lifetime Modeling Based on Four-parameter Weibull Distribution 基于四参数威布尔分布的寿命建模不精确可靠性分析

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362574

Qiuge Dan, Debin Ye, Y. Teng, Lulu An

{"title":"Imprecise Reliability Analysis for Lifetime Modeling Based on Four-parameter Weibull Distribution","authors":"Qiuge Dan, Debin Ye, Y. Teng, Lulu An","doi":"10.1109/ICPECA51329.2021.9362574","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362574","url":null,"abstract":"Weibull distribution is one of the most classical distributions in the field of reliability applications. In order to improve the capability to fit various failure data, a number of extended forms of Weibull distribution have been proposed. In this paper, we will focused on the four-parameter Weibull distribution. It is difficult to estimate the parameters of fourparameter Weibull model accurately under limited failure data, but we can treat the parameter as a random variable and use the gamma distribution as a prior distribution to get the imprecise ones. From the view of impreciseness and Bayesian theory, we proposed a novel imprecise reliability analytical method named the Four-parameter Weibull-Gamma model which used for incomplete life data. The upper and lower bounds of the cumulative density function, the reliability function and the hazard function can also be obtained. Aiming at two cases that the hazard function is monotonically increasing or a bathtub shape, the experiments demonstrate the fitting effect of the proposed model, and the modeling capability of components or systems for different hazard function. Furthermore, it also verifies the multi-parameter of the proposed model can increase the adjustable flexibility of the distribution.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121126383","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

Research on the frequency prediction of barrier-free resources in airport terminal based on ARIMA model 基于ARIMA模型的机场航站楼无障碍资源频率预测研究

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362603

Qingyang Yu, Ning He, Weijia Ye, Lifei Pang

{"title":"Research on the frequency prediction of barrier-free resources in airport terminal based on ARIMA model","authors":"Qingyang Yu, Ning He, Weijia Ye, Lifei Pang","doi":"10.1109/ICPECA51329.2021.9362603","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362603","url":null,"abstract":"At present, the airport is constantly promoting the construction of barrier-free environment to assist special passengers with hearing, visual or mobility problems. More and more barrier-free service resources such as new technologies, new products and new facilities are deployed in the terminal. In order to better improve the utilization rate and deployment rationality of barrier-free service resources and enhance the barrier-free service guarantee capability of civil aviation airports, it is necessary to evaluate the current use of barrier-free service resources and predict the future use frequency. In this paper, using the mathematical model with high prediction accuracy, a kind of usage prediction method suitable for many kinds of barrier-free service resources is verified. In order to better illustrate the content of the prediction method of this article, the accessibility service resource research object is marked as ‘Facility A’. Based on the randomness and time relevance of the use of ‘Facility A’ by passengers, using python to generate random frequency time series data on the usage frequency of ’Facility A’ in the past 60 months. The serial data is as the original data for method of study in this paper, regarded as real data as well. After the analysis and processing of the original data, to build a mathematical prediction model of usage frequency based on ARIMA model, to calculate the usage prediction data based on the real data, and analyzing the deviation between the real data and the predicted data using with the mathematical theory, so as to verify the feasibility of the prediction method in this paper.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132551883","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 Vehicle Dispatch Problem Based on Kuhn-Munkres and Reinforcement Learning Algorithm 基于Kuhn-Munkres和强化学习算法的车辆调度问题研究

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362615

Mengqi Li, Ziyao Geng, Yi Wang

{"title":"Research on Vehicle Dispatch Problem Based on Kuhn-Munkres and Reinforcement Learning Algorithm","authors":"Mengqi Li, Ziyao Geng, Yi Wang","doi":"10.1109/ICPECA51329.2021.9362615","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362615","url":null,"abstract":"With the development of artificial intelligence and 5G communication technology, autonomous vehicles are gradually becoming more achievable. Autonomous vehicles are used in urban transportation to provide taxi service, which effectively reduces labor cost and realizes intelligent transportation systems. The vehicle system combined with 5G technology can quickly obtain traffic information, which provides a decision basis for the vehicle dispatching. Thus, it is necessary to develop an efficient way to distribute and allocate these vehicles to maximize the potential income for the system. This paper studies the vehicle dispatching based on the travel data from the 2016 New York City Green Taxi data and propose two dispatching methods. First, we consider the dispatching problem as a maximum weight value matching problem. Then a distance-based dispatching method is proposed with the goal of minimizing the waiting time of passengers by using the Kuhn and Munkres (KM) algorithm. Finally, we formulate the decision of vehicle dispatch with a Markov Decision Process (MDP) and introduce a Reinforcement Learning (RL)-based dispatching method, which combines RL algorithm and KM algorithm to solve the dispatching problem with the goal of maximizing long-term revenue of divers. In the experiment, KM algorithm is compared with the full permutation algorithm to prove the effectiveness of KM algorithm. The performance of the distance-based dispatching method and RL-based dispatching method are presented in a small-scale dispatching and a large-scale dispatching. Experiment results show that the total revenue of vehicles is improved by about 20% by using RL-based dispatching method, compared to dispatching method based on the distance. Thus, RL-based dispatching method is more effective in a dispatching platform. It could be used by future public autonomous vehicle companies to achieve the fulfill the need of maximizing the potential income for the system.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"133 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133354949","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

Rail Track Edge Detection Methods Based on Improved Hough Transform 基于改进霍夫变换的轨道边缘检测方法

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362706

Xiaoguang Li, Zijian Cong, Yong Zhang

引用次数: 2

Modeling and Control of Temperature in Enthalpy Difference Laboratory 焓差实验室温度的建模与控制

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362682

Zihao Dong, Jun Wei, Huixiu Gao

引用次数: 1

Uncertainty evaluation and conformity evaluation of DC resistance tester 直流电阻测试仪的不确定度评定与合格评定

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362678

Quanying Liu, F. Huang, D. Sui, Hong Tang

引用次数: 0

Design of Quad-Band Filter Using SIR and DGS 基于SIR和DGS的四频带滤波器设计

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362506

Xinge Wang, Ling Wang, Wanyin Yang, Yimei Zhang

引用次数: 5

Chinese Semantic Role Labeling Integrating Global Information and Attention Mechanism 整合全局信息和注意机制的汉语语义角色标注

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362502

Ao Zhu, Guoyi Che, F. Wan, Ning Ma

{"title":"Chinese Semantic Role Labeling Integrating Global Information and Attention Mechanism","authors":"Ao Zhu, Guoyi Che, F. Wan, Ning Ma","doi":"10.1109/ICPECA51329.2021.9362502","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362502","url":null,"abstract":"With the rapid development of artificial intelligence and Chinese information processing technology, natural language processing related research has gradually deepened to the level of semantic understanding, and Chinese semantic role labeling is the core technology in the field of semantic understanding. In the field of Chinese information processing where statistical machine learning is still the mainstream, traditional labeling methods rely heavily on the parsing degree of sentence syntax and semantics, so the labeling accuracy is limited and cannot meet current needs. In response to the above problems, this paper proposes a CNN-BiLSTM-Attention-CRF fusion model for Chinese semantic role tagging, and at the same time the model performance optimization research. In the model training stage, convolution kernels of different sizes are used to capture the local features of the sentence, and then the different local features are spliced into a new feature vector through the average pooling technology, which is the global feature that integrates the semantic information of the entire sentence sequence, the same part of speech, sentence phrase Multi-level linguistic feature groups such as structure are fed into the model together. Through multiple sets of experimental demonstrations, the feature set integrated into the sequence global information can significantly improve the various indicators of the model.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134333294","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

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362605

Chengcheng Jiang, Yan Zhou, Cong Zhang

引用次数: 1