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Proceedings of the 4th International Conference on Computer Science and Application Engineering最新文献

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A Hybrid Encoding Based Particle Swarm Optimizer for Feature Selection and Classification 基于混合编码的粒子群特征选择与分类优化算法
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425074
Yan'an Lin, Qifan Zhuang
{"title":"A Hybrid Encoding Based Particle Swarm Optimizer for Feature Selection and Classification","authors":"Yan'an Lin, Qifan Zhuang","doi":"10.1145/3424978.3425074","DOIUrl":"https://doi.org/10.1145/3424978.3425074","url":null,"abstract":"Feature selection (FS) is an important issue for classification, which aims to search the optimal feature subset to assist the classification task. Bio-inspired algorithms, such as particle swarm optimization (PSO), have shown superior performances in dealing with feature selection. However, current methods still suffer from local optimal and lack of efficient encoding manner for particles, which results in limited classification accuracy. In this paper, we proposed a hybrid encoding based PSO, HE-PSO for wrapper-based FS, where a novel encoding consisting of both integer and categorical value is applied. The new encoding way considerably takes the interactions between different features into account. In addition, a new updating strategy for particles' positions is developed, which is able to explore and search more promising and better solutions. Experimental results on benchmark data sets validate the effectiveness of our proposed approach in classification accuracy.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114210948","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
Terrorist Video Detection System Based on Faster R-CNN and LightGBM 基于更快R-CNN和LightGBM的恐怖分子视频检测系统
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425121
Chao Yi, Shunxiang Wu, Bin Xi, Daodong Ming, Yisong Zhang, Zhenwen Zhou
{"title":"Terrorist Video Detection System Based on Faster R-CNN and LightGBM","authors":"Chao Yi, Shunxiang Wu, Bin Xi, Daodong Ming, Yisong Zhang, Zhenwen Zhou","doi":"10.1145/3424978.3425121","DOIUrl":"https://doi.org/10.1145/3424978.3425121","url":null,"abstract":"Nowadays the mobile phone has become an indispensable tool in the lives of many people. While facilitating people's lives, it also provides criminals with a very important tool for spreading the terrorist video. Traditional manual detection of the terrorist video has the problem of low accuracy and inefficiency. To address the issue, this paper proposes a terrorist video detection system based on Light Gradient Boosting Machine (LightGBM) and Faster Region-based Convolutional Neural Network (Faster R-CNN) for mobile phone forensics system, which is used to quickly detect whether there is a terrorist video in the suspect's mobile phone. The system uses a multi-model method for detection, which includes preliminary detection and deep detection in two stages. Experimental research shows that it can effectively and accurately detect terrorist videos in mobile phones, thereby helping criminal investigation personnel to quickly grasp criminal evidence and provide some clues for the detection of the case.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125380788","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
A Mapping Method for Indoor Mobile Robot 室内移动机器人的一种映射方法
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425050
Haoxin Liu, Yonghui Zhang, Yibo Cao
{"title":"A Mapping Method for Indoor Mobile Robot","authors":"Haoxin Liu, Yonghui Zhang, Yibo Cao","doi":"10.1145/3424978.3425050","DOIUrl":"https://doi.org/10.1145/3424978.3425050","url":null,"abstract":"Simultaneous location and mapping (SLAM) is a core issue in the field of mobile robots. This paper proposes an endpoint features based mapping method for an indoor mobile robot. The robot collects sensor information over some time to build a local map, and the local maps are fused to get a global map. This article defines the concept of endpoints and gives each endpoint a unique descriptor. Local endpoints and global endpoints are compared using descriptor matching and brute force matching to obtain a calibration. The local grids are merged into the global grids if the calibration is less than a threshold. Otherwise, running a pose correction for the mobile robot. Experiments show that in various indoor environments, this mapping method can obtain a grid map that is similar to the actual environment, which supports the mobile robot to complete navigation, obstacle avoidance, planning, and other works.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125618844","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
Library Readers Flow Control Based on the Supervisory Control Theory of Discrete-event Systems 基于离散事件系统监督控制理论的图书馆读者流量控制
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425066
Chongqing Lin, Daowen Qiu, Weilin Deng
{"title":"Library Readers Flow Control Based on the Supervisory Control Theory of Discrete-event Systems","authors":"Chongqing Lin, Daowen Qiu, Weilin Deng","doi":"10.1145/3424978.3425066","DOIUrl":"https://doi.org/10.1145/3424978.3425066","url":null,"abstract":"The readers flow control in public libraries is an important problem. In this paper, we present a new formulation for the library readers flow control via the supervisory control theory of discrete-event systems (DESs). First of all, we formulate the library readers flow problem via the model of DESs. Secondly, for the usual control specification, we present its automaton characterization, and then prove its controllability and further provide a supervisor that can achieve the specification. This paper demonstrates that the supervisory control framework can provide a simple and flexible solution for the readers flow control in public libraries.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128033656","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
A Household Design Method Based on Improved Generative Adversarial Networks 基于改进生成对抗网络的家居设计方法
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3424997
Yufeng Chen, Bo Li
{"title":"A Household Design Method Based on Improved Generative Adversarial Networks","authors":"Yufeng Chen, Bo Li","doi":"10.1145/3424978.3424997","DOIUrl":"https://doi.org/10.1145/3424978.3424997","url":null,"abstract":"We propose a system for automatic household design, which is based on Generative Adversarial Networks (GAN) to construct a multi-layer network structure system. Based on the given home building structure information and in accordance with the real rules, specific furniture objects can be reasonably placed in the corresponding home building space. First, we constructed the household design dataset, which includes a building structure diagram with constraint information as input, and a real home layout based on the structure diagram design. including part of the design and the complete design. The multi-layer GAN structure can generate the household design results with structural relations according to the design steps. The system introduces the attention network, which can generate the structural details in the image by focusing on the constraint conditions of the input image. Conditional regression is designed at the back of the system, so that the generated results can have diverse characteristics. Our system can quickly generate a diversified real home layout, which has good practical value.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"5 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128182173","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 Multi-source Heterogeneous Big Data in Extra-large Enterprises 超大型企业多源异构大数据研究
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425000
Lufeng Yuan, Xiaoxin Gao, Sining Wang, Jun Wang
{"title":"Research on Multi-source Heterogeneous Big Data in Extra-large Enterprises","authors":"Lufeng Yuan, Xiaoxin Gao, Sining Wang, Jun Wang","doi":"10.1145/3424978.3425000","DOIUrl":"https://doi.org/10.1145/3424978.3425000","url":null,"abstract":"Extra-large enterprises, due to their huge scale and complex businesses, face serious challenges in the big data time. This paper introduces the Operating and Monitoring Information System (OMIS) in the State Grid Corporation of China to try to use big data in the extra-large enterprises. OMIS consists of full coverage data flow path, compound general library of model and algorithm, multi-mode computing platform and interface components. It solves a series of key problems that are data barrier, transmission, analysis, computing, usability in extra large enterprises. OMIS has connected headquarters, provinces and cities, covered 27 provinces. Benefited from interface components, a programme for data extraction, model train and parallel computing can be implemented by several codes conveniently in OMIS. In the experiments, OMIS can extract 1.73TB line loss data in about 93 hours from 27 provinces, provide multiple algorithms to detect abnormal low-voltage substation areas, support high performance computing by parallelization. Finally, OMIS reaches 3.71 speedup ratio on five nodes.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125096579","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
Research on the Influence of Big Data Knowledge Transfer on Value of Co-creation and Competitive Advantage of Smart Tourism Destinations 大数据知识转移对智慧旅游目的地共创价值和竞争优势的影响研究
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425006
N. Bu, Zihan Yin, Jay Barry, Haiyan Kong
{"title":"Research on the Influence of Big Data Knowledge Transfer on Value of Co-creation and Competitive Advantage of Smart Tourism Destinations","authors":"N. Bu, Zihan Yin, Jay Barry, Haiyan Kong","doi":"10.1145/3424978.3425006","DOIUrl":"https://doi.org/10.1145/3424978.3425006","url":null,"abstract":"Big data analysis used for smart tourism destinations has become a new trend in the increasing demand for tourism. However, relevant research on this problem is limited. This paper reports a literature review, in-depth interviews, and content analysis about tourism destinations and tourists. This study aims to discuss how knowledge transfer based on big data promotes the value of tourists and the competitive advantages of smart tourism destinations through value co-creation between them. An influencing model is explored to reflect such an interactive process. This study also makes some contributions to tourism destinations.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123508333","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
Improved Particle Swarm Optimization Based on Gradient Descent Method 基于梯度下降法的改进粒子群优化
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3424990
Wei-feng Lu, Bingyu Cai, Rui Gu
{"title":"Improved Particle Swarm Optimization Based on Gradient Descent Method","authors":"Wei-feng Lu, Bingyu Cai, Rui Gu","doi":"10.1145/3424978.3424990","DOIUrl":"https://doi.org/10.1145/3424978.3424990","url":null,"abstract":"Due to the lack of effective guidance on particle's speed and precocity in standard particle swarm optimization, a particle swarm optimization on the basis of gradient information and time-varying acceleration coefficient (TVAC), namely gradient descent particle swarm optimization (GDPSO), is proposed. By combining the direct method and the indirect method to solve the unconstrained optimization problem, the gradient information is used to modify the velocity term, guide the particle to conduct local efficient search, and improve the global explore ability of the algorithm through time-varying acceleration coefficient strategy. On the basis of simulation experiment and comparison with other algorithms, the proposed particle swarm optimization enjoys a fast convergence speed and is not easy to get trapped into local optimal, with excellent ability to solve complex multi-modal problems.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"443 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131400521","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
Sole Arch Width Extraction Using Greedy Algorithm 基于贪心算法的鞋底拱宽提取
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3424979
Xingting Pei, Wenju Zhou, Haikuan Wang
{"title":"Sole Arch Width Extraction Using Greedy Algorithm","authors":"Xingting Pei, Wenju Zhou, Haikuan Wang","doi":"10.1145/3424978.3424979","DOIUrl":"https://doi.org/10.1145/3424978.3424979","url":null,"abstract":"In footwear production, the size of sole should be checked to match the corresponding upper before combining them. At present, manual recognition method and traditional machine vision method is not able to recognize unlabelled sole. In this paper, we propose a novel method to extract the feature parameter of unlabelled sole to recognize its size. The feature parameter is the arch width of the sole which has a quality with shape invariance. An innovative greedy algorithm was proposed to get the arch width. The algorithm adopts successive approximation method to extracted the shortest width of sole. Experimental results show that the arch width extraction method proposed in this paper can be effectively used to recognize the size of sole.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130547803","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 Pre-processing Method of Travel Data Based on Mobile GPS: Three-step Data Pre-processing Method 基于移动GPS的出行数据预处理方法研究——三步数据预处理方法
Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425100
Dudu Guo, Jizhao Wang, Yang An, Yiwen Zhang, Danyang Liu
{"title":"Research on Pre-processing Method of Travel Data Based on Mobile GPS: Three-step Data Pre-processing Method","authors":"Dudu Guo, Jizhao Wang, Yang An, Yiwen Zhang, Danyang Liu","doi":"10.1145/3424978.3425100","DOIUrl":"https://doi.org/10.1145/3424978.3425100","url":null,"abstract":"The collected travel data are accompanied by noise data and missing data. They seriously affect the analysis and use in transportation. Data processing is the foundation of data analysis and the most difficult step in data utilization. In order to realize the noise reduction and interpolation of the data, we creatively adopt the three-step method of data segmentation and deductive reasoning, the verification of Spearman's correlation coefficient and the discrimination of the distance of triangle bottom to height, which effectively repairs the abnormal data in this article. Through the processing of 78 travel data, the transfer point extraction, data interpolation and drift correction are realized. The results have high reliability. This method can be programmed and used for batch data processing, which will save considerable investment in the field of transportation survey.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"87 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115056692","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
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