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2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)最新文献

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Recent Advances in DV-hop Localization Algorithm for Wireless Sensor Networks 无线传感器网络dv跳定位算法研究进展
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00090
Rekha Goyat, M. Rai, Gulshan Kumar
{"title":"Recent Advances in DV-hop Localization Algorithm for Wireless Sensor Networks","authors":"Rekha Goyat, M. Rai, Gulshan Kumar","doi":"10.1109/ICDSBA48748.2019.00090","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00090","url":null,"abstract":"Localization is defined as most fundamental step in Wireless Sensor Networks (WSNs), generally used for estimating the position of sensor nodes. However, localization is performed by randomly distributing the sensor nodes over the environment and is indispensable for WSNs. Since the inception of this technology, localization schemes based on distance vector, DV-Hop has been widely employed in WSN compared to other algorithms. In this communication, a detailed survey on variants of DV-Hop is presented with their advantages and limitations. Further, open issues and challenges are briefly discussed.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122394506","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
Analysis on the Cultivation of Computer Skills in College Fashion Design Majors under the Background of Digitization 数字化背景下高校服装设计专业计算机技能培养探析
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00034
Zhenghan Chen
{"title":"Analysis on the Cultivation of Computer Skills in College Fashion Design Majors under the Background of Digitization","authors":"Zhenghan Chen","doi":"10.1109/ICDSBA48748.2019.00034","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00034","url":null,"abstract":"Under the background of the rapid development of information technology, for universities that provide talents for the country, we should adapt to the development of the times and introduce information technology into the education of colleges and universities. In other words, in the design of college clothing, the application of digital information technology is an inevitable trend of the times. To this end, colleges and universities must implement information technology into the daily teaching links of fashion design through various methods, and cultivate high-quality talents that can adapt to the development of the times and use the basic knowledge of fashion design and information technology. Next, it will elaborate on the current situation of computer skills training in colleges and universities, and the problems faced, as well as the construction and resolution of relevant curriculum systems.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130774094","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
Historical Similar Ticket Matching and Extraction used for Power Grid Maintenance Work Ticket Decision Making 电网维修工票决策中的历史相似工票匹配与提取
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00070
Tong Liu, Shaoyan Li, X. Gu, Tieqiang Wang, Peng Lu, Xin Cao, Xiaodong Yang, Wei Wang, Hao Lv, Chunxian Feng
{"title":"Historical Similar Ticket Matching and Extraction used for Power Grid Maintenance Work Ticket Decision Making","authors":"Tong Liu, Shaoyan Li, X. Gu, Tieqiang Wang, Peng Lu, Xin Cao, Xiaodong Yang, Wei Wang, Hao Lv, Chunxian Feng","doi":"10.1109/ICDSBA48748.2019.00070","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00070","url":null,"abstract":"In order to play to the important reference value of historical maintenance work ticket in power grid for making new work ticket and realize multi-directional decision support, a method of intelligent matching and extraction of work ticket text is proposed. Firstly, the text of power grid security measures information is preprocessed with the power field knowledge. Aiming at the problem of non-standard text representation, an improved two-level bag of word (BOW) model with main word and auxiliary words is proposed. Then, Term frequency-inverse document frequency (TF-IDF) method is introduced and used to extract text features. Finally, cosine similarity method is used to calculate the multi-variable similarity between the critical information of maintenance equipment and the historical scenes. The problems of word order inversion and multi-word one meaning can be eliminated by the proposed method, and then the matching efficiency and precision can be improved. Hence, with the improved historical similar ticket matching and extraction method, the dispatchers and operators can get more comprehensive decision support when making new work tickets. The effectiveness of the proposed method is validated on several cases based on an actual power grid.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"24 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114030256","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 Effectiveness of Green Credit Policy -Based on The Empirical Study of 19 Listed Banks in China 绿色信贷政策有效性研究——基于中国19家上市银行的实证研究
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00049
Zuoxuan Han, Haifeng Xu, Kai Tu
{"title":"Research on the Effectiveness of Green Credit Policy -Based on The Empirical Study of 19 Listed Banks in China","authors":"Zuoxuan Han, Haifeng Xu, Kai Tu","doi":"10.1109/ICDSBA48748.2019.00049","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00049","url":null,"abstract":"This study mainly uses the financial data of 19 listed banks from 2005 to 2015. The DID model is used to empirically demonstrate the effectiveness of the green credit policy. The conclusion is that the bank’s profitability and competitiveness are related to the implementation of the green credit policy to some extent.. However, from the perspective of long-term practice development, the impact of green credit policies on the improvement of bank profitability is decreasing, that is, the green credit policy reduces the marginal efficiency of bank profitability.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116811966","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
Research on The Relationship between Volume and Price of China’s Stock Market Based on Markov Mechanism Mixed Copula Model 基于马尔可夫机制混合Copula模型的中国股市量价关系研究
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00046
Huajian Luo, Y. Zou, Xin Zhang
{"title":"Research on The Relationship between Volume and Price of China’s Stock Market Based on Markov Mechanism Mixed Copula Model","authors":"Huajian Luo, Y. Zou, Xin Zhang","doi":"10.1109/ICDSBA48748.2019.00046","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00046","url":null,"abstract":"The GK volatility is introduced, and the construction mechanism is used to transform the mixed Copula model to study the tail correlation between the volume and price of the stock market under different mechanisms. 5minute high-frequency price and trading volume data of the Shanghai Stock Exchange(SSE) and Shenzhen Stock Exchange(SZSE) were used for empirical research. Research shows that the tail of the volume-price relationship between the two stock markets is asymmetric, and the upper tail is clearly larger than the lower tail. The mixed copula of mechanism conversion can better describe the tail correlation of the two stock markets; the tail of the volume-price relationship has the high correlation and low correlation.In both states, the upper correlation transition probability and duration are significantly greater than the low correlation, and the two mechanisms alternate. The tails of the two market volumeprice relationships are time-varying.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123311347","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
Title Page i 第1页
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/icdsba48748.2019.00001
{"title":"Title Page i","authors":"","doi":"10.1109/icdsba48748.2019.00001","DOIUrl":"https://doi.org/10.1109/icdsba48748.2019.00001","url":null,"abstract":"","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115262286","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
Density-Attentive Head Detector for Crowd Counting 用于人群计数的密度-细心头部检测器
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00030
Ziyu Zhao, Xingyu Shen, L. Lan, Xiaoyao Yin, Xiang Zhang, Yonggang Che, Zhigang Luo
{"title":"Density-Attentive Head Detector for Crowd Counting","authors":"Ziyu Zhao, Xingyu Shen, L. Lan, Xiaoyao Yin, Xiang Zhang, Yonggang Che, Zhigang Luo","doi":"10.1109/ICDSBA48748.2019.00030","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00030","url":null,"abstract":"In crowd counting, regression-based method shows better performance in extreme density scenes by introduces a density map. However, the regression-based method fails to locate the positions of each head, which significantly restricts its applications. Detection-based method counts each head with their accurate locations but works only in middle or low-level density scenes. In this paper, a joint learning method, named Density-attentive Head Detector (DAHD) is developed to overcome their respective shortcomings via a multi-task training procedure. Specifically, to guarantee the sensitivity of the detector to small or partially occluded heads, we carefully equip the detector with a density map which learned from regression module. Moreover, a novel Dilated Feature Pyramid Network (DFPN) is introduced to our method to enlarge the receptive field of convolutional kernel, bringing confirmative additional benefits to identify small heads. Experiments on the popular ShanghaiTech and Mall datasets confirm the improved performance of DAHD compared with the current detectionbased approaches, and a comparable performance to regression-based approaches in term of counting.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1949 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129117666","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 Disease Classification Model and Algorithms Based on Gene Expression Data 基于基因表达数据的疾病分类模型与算法研究
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00055
Yue Li, Changyin Zhou
{"title":"Research on Disease Classification Model and Algorithms Based on Gene Expression Data","authors":"Yue Li, Changyin Zhou","doi":"10.1109/ICDSBA48748.2019.00055","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00055","url":null,"abstract":"High dimension, small sample size of gene expression data lead a great deal of difficulty to disease classification, in-depth model and algorithm research is carried out to solve this problem. Firstly, a linear combination model of weak classifier is constructed by boosting method and the feature subset is selected by removing the zero-weight feature genes in the boosting method. Then, three classification methods, boosting method, SVM and K-nearest neighbor are integrated to learn in order to improve the accuracy of the classification model. Finally, the classification model of ensemble learning is applied in colon cancer dataset. Rather than a single classification model, ensemble method can reduce dimension of data and obtain higher accuracy shown by the experimental results.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129176861","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 Bibliographic Push Service of University Library Based on Data Mining 基于数据挖掘的高校图书馆书目推送服务研究
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00067
Likun Zheng, Jingtian Guo, Weihe Wang, Ruyi Wang
{"title":"Research on Bibliographic Push Service of University Library Based on Data Mining","authors":"Likun Zheng, Jingtian Guo, Weihe Wang, Ruyi Wang","doi":"10.1109/ICDSBA48748.2019.00067","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00067","url":null,"abstract":"Data mining is carried out by using the borrowing records of readers in the existing library information system. The classification numbers and titles of books borrowed by readers are calculated by TF-IDF algorithm to represent the personalized features of readers. The titles of push books are segmented into bibliographic features by the function of word segmentation. According to the corresponding algorithm, the characteristics of readers and bibliographic features are screened and judged, and the selected books are personalized for readers. The experimental results show that the bibliographic push service model of university library based on data mining has a good application effect.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128377805","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
The Application Status and Future Prospects of Computer in Garment Management 计算机在服装管理中的应用现状及展望
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00033
Siyun Chen
{"title":"The Application Status and Future Prospects of Computer in Garment Management","authors":"Siyun Chen","doi":"10.1109/ICDSBA48748.2019.00033","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00033","url":null,"abstract":"This paper briefly analyzes the application and future prospects of computers in fashion design, garment size, clothing production and clothing sales, hoping to bring some reference experience to related companies.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126609105","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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