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2019 6th International Conference on Systems and Informatics (ICSAI)最新文献

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Research On Multi-destination Delivery Route Optimization Of Unmanned Express Vehicles 无人快递车辆多目的地配送路线优化研究
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010559
Shushang Chi, Pengying Du, Jingjing Huang
{"title":"Research On Multi-destination Delivery Route Optimization Of Unmanned Express Vehicles","authors":"Shushang Chi, Pengying Du, Jingjing Huang","doi":"10.1109/ICSAI48974.2019.9010559","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010559","url":null,"abstract":"Unmanned express vehicles play an increasingly important role in the logistics industry. In order to save time, reduce transportation costs in the process of logistics and distribution, and improve the utilization of resources, it is necessary to optimize the path of unmanned express vehicles to achieve the shortest logistics path in multiple destinations. Using the hybrid particle swarm optimization algorithm based on particle swarm optimization and genetic algorithm to optimize the path and overcome the long iteration of genetic algorithm could obtain a better optimal solution with fewer iterations, and the optimal solution is more stable. This can reduce the path mileage of logistics and transportation, improve work efficiency and reduce transportation time and cost.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"103 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122601537","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 Enterprises Group Decision-making System from the Perspective of Knowledge Management 知识管理视角下的企业集团决策系统研究
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010560
Ying Wang, Yejun Luan, Yihua Dou
{"title":"Research on Enterprises Group Decision-making System from the Perspective of Knowledge Management","authors":"Ying Wang, Yejun Luan, Yihua Dou","doi":"10.1109/ICSAI48974.2019.9010560","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010560","url":null,"abstract":"During the process of enterprise management, group decision-making and knowledge management are two important management activities which are closely related. The accuracy of decision-making and the decision-making efficiency directly affect the survival and development of an enterprise. Group decision-making based on knowledge management collects the wisdom and knowledge of decision-making individuals at different levels, has advantages incomparable by individual decision-making, and plays a more and more important role in constructing the competition advantages of the enterprise. This essay systematically analyzes and defines the concept and key constituting elements of the enterprise group decision-making system from the perspective of knowledge management, and provides theoretical bases for the enterprises to construct the enterprise group decision-making system based on knowledge management, and improve the decision-making efficiency and scientificalness.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122861081","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
Community-based Malware Immunization Strategy 基于社区的恶意软件免疫策略
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010322
Wei Yang, Li Zhang, Teng Chen, Yu Yao
{"title":"Community-based Malware Immunization Strategy","authors":"Wei Yang, Li Zhang, Teng Chen, Yu Yao","doi":"10.1109/ICSAI48974.2019.9010322","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010322","url":null,"abstract":"In recent years, security threats have occurred frequently, especially the large-scale spread of malware has brought huge losses to individuals and the country as a whole. This paper considers the nodes of the network have the feature of forming a community. A community-based malware immunization strategy is proposed according to the characteristics that information spread quickly within the community and spread slowly between communities. A concrete community detection method is proposed based on the K-shell and the label propagation algorithm, as well as key node selection algorithm is proposed in order to control the outbreak of malicious code with the fastest speed and at the lowest cost. The experiments demonstrate that the proposed approach can achieve maximum immunity with minimal cost comparing to classical immunization strategies.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122877784","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
Very Robust Direct Solver of the P3P Problem P3P问题的非常鲁棒直接求解器
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010077
Qinghua Geng, Weiming Liu
{"title":"Very Robust Direct Solver of the P3P Problem","authors":"Qinghua Geng, Weiming Liu","doi":"10.1109/ICSAI48974.2019.9010077","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010077","url":null,"abstract":"In this paper, we propose a robust and novel direct solver for solving the Perspective-Three-Point (P3P) problem, which is called RP3P by us. Although the P3P has been studied for many years and achieved great success, it still faces the following three limitations at least: (1) The instability of solutions caused by different ordering of vertices, (2) geometric degradation in the singular case, (3) depending on the specific equation solver. The main method of the proposed solver is to use two auxiliary variables to simplify the calculation process. Additionally, the depth of the three-dimension control points is normalized to simplify the process of derivation, and then the depth of three-dimension control points can be obtained in a simple fashion. RP3P does not depend on particular equation solver and has high stability in image noise. Moreover, in “singular cylinder”, even if all other classic direct solutions are seriously degraded, the proposed solution can still obtain reliable solution.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"473 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123032808","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
Generating Chinese Classical Landscape Paintings Based on Cycle-Consistent Adversarial Networks 基于循环一致对抗网络的中国古典山水画生成
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010358
Xia Lv, Xiwen Zhang
{"title":"Generating Chinese Classical Landscape Paintings Based on Cycle-Consistent Adversarial Networks","authors":"Xia Lv, Xiwen Zhang","doi":"10.1109/ICSAI48974.2019.9010358","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010358","url":null,"abstract":"Generative Adversarial Networks (GAN) has made it possible for computers to generate images autonomously. There are many approaches based on GAN, including Conditional Generative Adversarial Networks (CGAN), Deep Convolutional Generative Adversarial Networks (DCGAN) and Cycle-Consistent Generative Adversarial Networks (CycleGAN) and so on. Photos can be transformed into western oil painting styles using unpaired data based on CycleGAN. But so far, no research has been found using it to generate images with Chinese Classical Landscape Paintings' style. This paper examines the effects of different generator models and loss functions on training time and results under this framework. In order to save the training time, the Unet generator is used in CycleGAN. To get a better quality, L2 Loss is chosen. Experiments are conducted on the PyTorch platform using Python programming language. Different styles of photos are tested and satisfactory results are attained.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114270915","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: 7
Sound Source Separation by Spectral Subtraction Based on Instantaneous Estimation of Noise Spectrum 基于瞬时噪声谱估计的谱减法声源分离
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010477
K. Ozawa, M. Morise, S. Sakamoto, Kanji Watanabe
{"title":"Sound Source Separation by Spectral Subtraction Based on Instantaneous Estimation of Noise Spectrum","authors":"K. Ozawa, M. Morise, S. Sakamoto, Kanji Watanabe","doi":"10.1109/ICSAI48974.2019.9010477","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010477","url":null,"abstract":"In our previous paper, we proposed a sound source separation method using the two-dimensional fast Fourier transform (2D FFT) of a spatio-temporal sound pressure distribution (STSPD) image that is composed from the outputs of a microphone array. In an STSPD image, vertical stripes are created for a target sound arriving from the perpendicular direction to the array; therefore, its spectral components are concentrated on the spatial direct current (DC) components in the 2D amplitude spectrum. In that study, we estimated the noise DC amplitudes using a deep neural network (DNN), then subtracted them from the observed spectrum to suppress the noise. However, the performance of noise suppression can be improved further. In this study, we estimate the noise DC components theoretically instead of empirically using a DNN. We improved the performance successfully.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122232445","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 Semi-supervised Knowledge Assessment Paradigm Based on T-CNN Algorithm for the Industrial Massage System 基于T-CNN算法的工业按摩系统半监督知识评估范式
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010201
Sheng Wang, Jinkuan Wang, Yinghua Han, Qiang Zhao
{"title":"A Semi-supervised Knowledge Assessment Paradigm Based on T-CNN Algorithm for the Industrial Massage System","authors":"Sheng Wang, Jinkuan Wang, Yinghua Han, Qiang Zhao","doi":"10.1109/ICSAI48974.2019.9010201","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010201","url":null,"abstract":"with the popularity of the Industrial Internet and Information Technology, most data resources in the industrial production process could be exploited and utilized completely. But there are some fragmented knowledges, like product data, project documentation and multimedia materials, that need to be collected and organized. For instance, Industrial Massage System (IMS) is a platform for operating field professionals to exchange and share their experiences and knowledge containing significant potential value. In order to effectively utilize the fragmented information, a semi-supervised knowledge assessment paradigm is proposed for this system using Tri-training method based on Convolutional Neural Network (T-CNN). The method initially trains three CNN classifiers employing a small number of labeled examples, and a large pool of unlabeled examples are then assigned pseudo-labels under certain conditions. In further training, these classifiers are fine-tuned through original labeled examples and pseudo-examples. Specifically, in the iteration of the tri-training, a pseudo-example for a classifier is obtained from the reliable hypothesis if the other two classifiers have the same predictions on the labeling. Compared to previous training method, it does not require enormous original labeled data to initialize the model, nor does it need to depend immoderately on expert's domain to label examples. And there are also no demands of the instance space to be described with sufficient and redundant views, like previous co-training style algorithms. Experiments tested on two benchmarks indicate that the algorithm can effectively exploit unlabeled data to enhance the learning performance and achieves better classification capability.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123218457","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
Adaptive Volumetric Video Streaming Platform 自适应体积视频流平台
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010424
Srinivas Gudumasu, Yong He, J. Fleureau
{"title":"Adaptive Volumetric Video Streaming Platform","authors":"Srinivas Gudumasu, Yong He, J. Fleureau","doi":"10.1109/ICSAI48974.2019.9010424","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010424","url":null,"abstract":"This paper proposes an adaptive volumetric video streaming platform including real-time tracking, adaptive source view selection, DASH streaming, GPU accelerated view synthesis, HEVC decoding and view-dependent rendering. Volumetric use case supports 3 degree of freedom immersive experience with additional limited translational movement. The proposed adaptive streaming platform is built on advanced view synthesis technologies and DASH-based adaptive streaming to enhance the immersive experience while reducing the overall transmission bandwidth. The GPU acceleration further enables real-time view synthesis, HEVC decoding and view rendering. The simulation results verify that the proposed adaptive solution can utilize the bandwidth more efficiently. As a result, a more consistent viewing experience with high quality volumetric video content and low interactive latency can be delivered to the user. The platform has been demonstrated in the 2019 Mobile World Congress and 2nd VR ecosystems and standards workshop in April 2019.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121157815","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
A Privacy Preserving Algorithm for Mining Rare Association Rules by Homomorphic Encryption 一种利用同态加密挖掘稀有关联规则的隐私保护算法
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010219
Weimin Ouyang, Qinhua Huang
{"title":"A Privacy Preserving Algorithm for Mining Rare Association Rules by Homomorphic Encryption","authors":"Weimin Ouyang, Qinhua Huang","doi":"10.1109/ICSAI48974.2019.9010219","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010219","url":null,"abstract":"Privacy-preserving data mining have greate significance in the era of big data. The Privacy-preserving condition on rare association rules mining is about the sensitive information regarding participants. Each side have a private dataset, aims to collaboratively find rare association rules on data set like a logically unified frame, but actually composed of distributed private data set. We proposed a new efficient algorithm to discover privacy-preserving rare association rule mining technique. The main principle idea is that with the secure two-party computation theory we employ homomorphic encryption to hide the private information.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114532289","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
Marine renewable energy based on the principle of Magneto Hydro Dynamical power generation 海洋可再生能源基于磁电水力发电原理
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010222
Qiuying Zhu, Yongguo li
{"title":"Marine renewable energy based on the principle of Magneto Hydro Dynamical power generation","authors":"Qiuying Zhu, Yongguo li","doi":"10.1109/ICSAI48974.2019.9010222","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010222","url":null,"abstract":"At present, there are many ways to convert wave energy into electric energy, but there are many problems such as low conversion efficiency, low reliability and high cost compared with other renewable energy. MHD power generation is a new type of power generation method which directly converts heat energy into electric energy. The basic principle is Faraday's law of electromagnetic induction. This paper mainly studies the marine renewable energy based on the principle of marine MHD (Magneto Hydro Dynamical) power generation.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116283727","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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