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2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)最新文献

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SequenceFile Storage Optimization Method Based on Pile Structure 基于桩结构的SequenceFile存储优化方法
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498062
Wenjing Wu, Huiyi Liu, Liting Duan, Si-Yuan Xu
{"title":"SequenceFile Storage Optimization Method Based on Pile Structure","authors":"Wenjing Wu, Huiyi Liu, Liting Duan, Si-Yuan Xu","doi":"10.1109/ICAICA52286.2021.9498062","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498062","url":null,"abstract":"Hadoop Distributed File System (HDFS) performs well when storing and managing large data sets, but its performance is significantly reduced when processing massive small files. In response to this problem, a SequenceFile file storage optimization method based on the pile structure (OPSS) is proposed. The method uses the pile as a unit to merge and merge small files in the pile into SequenceFile based on the worst-fit strategy, reducing the data blocks consumed by the same number of small files. In addition, this method stores the index information of small files in a global index file, and accesses the small files through the global index file, which improves the access efficiency and reduces the memory occupied by the index file. Experimental results show that this method effectively optimizes the performance of HDFS for accessing large amounts of small files.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133450982","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
TCL stock price prediction model based on LSTM RNN 基于LSTM RNN的TCL股价预测模型
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9497972
Zhi-jian Wang
{"title":"TCL stock price prediction model based on LSTM RNN","authors":"Zhi-jian Wang","doi":"10.1109/ICAICA52286.2021.9497972","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9497972","url":null,"abstract":"The prediction of the stock market opening index plays an important role in investment and financial management. By collecting the data of the TCL stock indexes recently, this topic establishes LSTM RNN a machine learning model, and obtains a prediction model with high precision, thus providing reliable suggestions for investment and financial management","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128816131","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 target detection and tracking method applied to intelligent monitoring system 智能监控系统中目标检测与跟踪方法的研究
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9497919
Shaona Wang, Yang Liu, Yanan Wang, Linlin Li
{"title":"Research on target detection and tracking method applied to intelligent monitoring system","authors":"Shaona Wang, Yang Liu, Yanan Wang, Linlin Li","doi":"10.1109/ICAICA52286.2021.9497919","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9497919","url":null,"abstract":"Target detection and tracking is a key technology in intelligent monitoring system. However, it is still difficult to design a robust, accurate and real-time target detection and tracking algorithm. Taking target Tracking as the research focus, this paper focuses on one of the current mainstream algorithms, namely, TLD (tracking-learning-detection) target Tracking algorithm. Based on the theory of TLD target tracking and corner detection, a new target tracking method was proposed to solve the existing problems. A classifier is built online to track and learn the target in real time, and a target contour detector is added in the system to complement the random forest detector to solve the problem of tracking failure. Experimental results show that the proposed algorithm can effectively overcome the influence of fast change or depth occlusion, and improve the tracking efficiency of moving targets.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127847802","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
Constraint parallel machine scheduling problem with time window 带时间窗的约束并行机调度问题
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9497909
Chen Bihui
{"title":"Constraint parallel machine scheduling problem with time window","authors":"Chen Bihui","doi":"10.1109/ICAICA52286.2021.9497909","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9497909","url":null,"abstract":"On the one hand, the occurrence of major natural disasters makes some methods proved to be effective in theory not well applicable to the actual situation. On the other hand, the lack of normative network structure, nationwide network operation, individuals or groups in practice in the process of consumer, commercial travel and other business although can query from one city to another city traffic situation. The basic assumptions of classical sorting problems are constantly optimized, and many modern sorting problems are worth studying. But as a result of database operation time is short, late traffic system construction, system only by point-to-point transportation situation gives a recommended travel plan. It is highly subjective and may lead to problems such as low time efficiency and uneconomy. In this paper, we design a 3/2-approximation algorithm to solve such as the railway, aviation and highway systems are independent.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124284844","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
Heat Dissipation Performance Analysis of a Hybrid Battery Thermal Management System 混合动力电池热管理系统散热性能分析
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498261
J. Biao, Liu Fangfang, Zou Wuyuan
{"title":"Heat Dissipation Performance Analysis of a Hybrid Battery Thermal Management System","authors":"J. Biao, Liu Fangfang, Zou Wuyuan","doi":"10.1109/ICAICA52286.2021.9498261","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498261","url":null,"abstract":"In order to analyze the heat dissipation performance of a hybrid battery thermal management system combining active and passive cooling, firstly, a numerical simulation model of the system was established, which was coupled by the heat generation model of the single battery and the heat transfer model of composite phase change material(CPCM). Then, the thermal generation model of the battery was verified by experiments. Secondly, the central composite design method was used to establish the experimental design table based on the system parameters, and the battery temperature field under all experimental conditions in the design table was calculated by ANSYS Fluent. Then, the Kriging response surface type was selected to fit the relationship between the output variables and the input variables. Finally, the sensitivity analysis of the heat dissipation parameters of the system was conducted. The results show that the thickness of CPCM has no obvious effect on the temperature control and temperature uniformity of the battery, but the convective heat transfer coefficient has a great influence on the heat dissipation performance. In addition, the thermal conductivity of CPCM increases with the increase of the CPCM density and the graphite mass fraction, while the CPCM latent heat increases with the increase of the CPCM density and the decrease of the graphite mass fraction.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123477390","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
Joint Power and Channel Allocation for D2D Underlaid Multi-user Cellular Networks D2D底层多用户蜂窝网络的联合功率和信道分配
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498151
Yixin Du, Yidi Shao, Yingchong Shi, W. Huang, Kai Sun
{"title":"Joint Power and Channel Allocation for D2D Underlaid Multi-user Cellular Networks","authors":"Yixin Du, Yidi Shao, Yingchong Shi, W. Huang, Kai Sun","doi":"10.1109/ICAICA52286.2021.9498151","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498151","url":null,"abstract":"The underlay resource sharing mode of Device-to-Device (D2D) communication can strongly interference between D2D users (DUEs) and cellular users (CUEs), which has become a major challenge of the current D2D and cellular hybrid network. Different from the previous one or more D2D links and one cellular link sharing channel resources, the novel case of D2D links multiplexing multiple cellular sub-channels for improving the spectrum utilization of the network is considered in this paper. The DUEs power and channel allocation problem can be redefined as an objective optimization problem to maximize the total channel capacity of the DUEs and CUEs. In addition, a matrix channel allocation algorithm is proposed, which allocates at least one cellular sub-channels for each DUE. Simulation results show that the scheme can effectively improve the network performance.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"44-46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123643814","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
Intelligent perception method of classroom learning situation based on students' face information 基于学生面部信息的课堂学习情境智能感知方法
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498195
Yuyu Wang, Jiandong Fang, Yudong Zhao
{"title":"Intelligent perception method of classroom learning situation based on students' face information","authors":"Yuyu Wang, Jiandong Fang, Yudong Zhao","doi":"10.1109/ICAICA52286.2021.9498195","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498195","url":null,"abstract":"The analysis of students' learning situation in class can intuitively show students' learning process to teachers, improve the connection between teachers and students in class, and provide better strategic support for teachers' timely adjustment of teaching. The feedback of students to teachers in class is mainly in the face information. This paper collects the real video of students in class and makes the face image data set. For facial feature extraction, five neural network models are compared and analyzed. It is concluded that the method of resnet50 + softmax can obtain better classification accuracy on the data validation set.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127131661","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
Visualization Analysis of Research on Unmanned-Platform Based Battlefield Situation Awareness 基于无人平台的战场态势感知研究可视化分析
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9497890
Hua Yang, Jungang Yang, Bingpeng Zhang, Chengyuan Wang
{"title":"Visualization Analysis of Research on Unmanned-Platform Based Battlefield Situation Awareness","authors":"Hua Yang, Jungang Yang, Bingpeng Zhang, Chengyuan Wang","doi":"10.1109/ICAICA52286.2021.9497890","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9497890","url":null,"abstract":"Unmanned platforms have been extensively used in the process of battlefield situation awareness (BSA). We make a visualization analysis of the research on unmanned-platform based BSA, with the CNKI (China National Knowledge Infrastructure) database mainly considered. Research on unmanned-platform based BSA has entered a rapid growth stage since 2017, and shows great development potential now. The mode of BSA is evolving to the Space-Air-Ground integrated cooperative situation awareness, and corresponding theoretical research has gradually shifted to group and autonomous perception based on intelligent unmanned platforms. Research hotspots are concentrated on the model construction, conformance assessment, battle conception and key technology discussion of unmanned-platform based collaborative BSA. Future research on unmanned-platform based BSA should focus on combat concept innovation, key technology breakthrough and practical application, so as to transform the theoretical research outcomes into combat effectiveness and further improve the existing BSA level.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125660436","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
Question Difficulty Priori Evaluation Based on Fuzzy Logic in Programming System 基于模糊逻辑的程序设计系统问题难度先验评价
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498258
Qing Du, Wei Zheng, Chuanlin Xia
{"title":"Question Difficulty Priori Evaluation Based on Fuzzy Logic in Programming System","authors":"Qing Du, Wei Zheng, Chuanlin Xia","doi":"10.1109/ICAICA52286.2021.9498258","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498258","url":null,"abstract":"With the increasing number of online programming systems, how to efficiently and accurately assess the difficulty of programming questions is a classic problem in the field of computer education. Therefore, we propose a question difficulty priori evaluation method based on fuzzy logic in this paper. The proposed method considers the lines of code, variables and knowledge points in the answer of question, and uses fuzzy membership functions and fuzzy rules to evaluate the difficulty of questions. It solves the problems of subjective experience and low flexibility of traditional question difficulty evaluation methods. The experimental results show that the proposed method is effective and can obtain more accurate programming question difficulty.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131090846","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
Improving Named Entity Recognition of Chinese Legal Documents by Lexical Enhancement 通过词汇增强提高中文法律文件的名称实体识别
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498036
Zhenzhen Yuan, Hong Zhang
{"title":"Improving Named Entity Recognition of Chinese Legal Documents by Lexical Enhancement","authors":"Zhenzhen Yuan, Hong Zhang","doi":"10.1109/ICAICA52286.2021.9498036","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498036","url":null,"abstract":"The paper studies the named entity recognition based on Chinese legal texts. Named entity recognition (NER) plays a critical role in a series of natural language processing tasks, and has been studied for many years. Different from general domain texts, Chinese legal texts have their own particularities: 1) there are many professional terms: 2) there are often abbreviations and pronouns in entity names; 3) nested combinations of words lead to excessively long entity names. Moreover, there is no publicly available data set of named entity annotation in the judicial field, which limits the development of judicial named entity recognition. This paper discusses a simpler and more effective method to introduce the lexical information into the character-based NER system, that is, fine tuning the character representation layer and introducing explicit lexical boundary information. This method not only avoids the design of complex sequence model structure, but also has good portability for any neural network model. The experimental results show that this method can obtain the F value of 95.35 on our annotated judicial data set, and has achieved good performance in annotated corpus of People’s Daily in January, 1998.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130240304","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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