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

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Research on Face Recognition Based on PCA and FLD 基于PCA和FLD的人脸识别研究
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/icdsba48748.2019.00104
Shaorun Shen, Chao Zhang, Rui Xiao, Wanliang He, Ninghui Zhang
{"title":"Research on Face Recognition Based on PCA and FLD","authors":"Shaorun Shen, Chao Zhang, Rui Xiao, Wanliang He, Ninghui Zhang","doi":"10.1109/icdsba48748.2019.00104","DOIUrl":"https://doi.org/10.1109/icdsba48748.2019.00104","url":null,"abstract":"Aiming at the complex background, illumination change, attitude expression and occlusion problems encountered in face recognition, this paper uses PCA algorithm to obtain the feature space of the training sample set, and FLD algorithm to obtain the fusion feature space, and then trains and recognizes the projected face in the feature space. The experimental results show that the algorithm of face recognition based on improved PCA + FLD recognition rate is higher than the traditional face recognition algorithm that is faster, a right blend of the two algorithms, the advantages of human face recognition rate increased, but there are also some face is to identify the subject is not successful, because the distance of testing and training pictures don’t match.","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":"122413070","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
Novel Watermarking Scheme Using Boundary Pixels Least Significant Qubit Steganography 基于边界像素最小有效量子比特隐写的新型水印方案
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00083
Gaofeng Luo, Maoying Ling
{"title":"Novel Watermarking Scheme Using Boundary Pixels Least Significant Qubit Steganography","authors":"Gaofeng Luo, Maoying Ling","doi":"10.1109/ICDSBA48748.2019.00083","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00083","url":null,"abstract":"Image watermarking has become a popular area of study in quantum information processing. In this paper, we propose a new watermarking method using boundary pixels of a quantum image. The quantum image is firstly scrambled into a meaningless image and expanded to an appropriate size. Then the expanded and scrambled watermark is embedded into the horizontal direction of boundary pixels of the quantum cover images. The watermark can be extracted using some inverse quantum operations. Supported by the simulation and analysis, the proposal has outperformed some similar quantum schemes in terms of the robustness and PSNR value.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"31 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":"115625036","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
Modeling periodic high-frequency intra-day data 建模周期高频日内数据
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00024
N. Modarresi, M. Mohammadi, S. Rezakhah
{"title":"Modeling periodic high-frequency intra-day data","authors":"N. Modarresi, M. Mohammadi, S. Rezakhah","doi":"10.1109/ICDSBA48748.2019.00024","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00024","url":null,"abstract":"High-frequency data typically exhibit periodic patterns in market activity. Furthermore, skewness and kurtosis of financial data has led to development of models with jumps. In order to present a model that supports these features, we introduce a semi-Lévy continuous-time autoregressive moving average (SLCARMA) process. In this paper, we discuss on some properties of such process and estimate the parameters of it by Kalman recursion technique. We fit a SLCARMA(2,1) process to intra-day realized volatility of Doiv Jones industrial average data.","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":"116295939","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
Doctor Visiting Process Based on Information Technology 基于信息技术的医生就诊流程
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/icdsba48748.2019.00053
Na Wang, Hongmei Xu, Xuesong Song, Zhijun Lun
{"title":"Doctor Visiting Process Based on Information Technology","authors":"Na Wang, Hongmei Xu, Xuesong Song, Zhijun Lun","doi":"10.1109/icdsba48748.2019.00053","DOIUrl":"https://doi.org/10.1109/icdsba48748.2019.00053","url":null,"abstract":"The competition between hospitals is not only reflected in medical service projects, but also in service quality. Improving service quality has become an effective way to enhance the competitiveness of hospitals. A set of feasible improvement scheme was obtained to reform the doctor visiting process by applying business process techniques and methods in hospital. It makes the medical treatment process more scientific and reasonable, and shortens the waiting time of patients’. It can improve the efficiency of clinic work and patient satisfaction, and finally improve the overall competitiveness of the hospital.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"24 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":"131423647","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
Convolutional Network Model using Hierarchical Prediction and its Application in Clothing Image Classification 基于层次预测的卷积网络模型及其在服装图像分类中的应用
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00041
Yuanjun Liu, Gaofeng Luo, F. Dong
{"title":"Convolutional Network Model using Hierarchical Prediction and its Application in Clothing Image Classification","authors":"Yuanjun Liu, Gaofeng Luo, F. Dong","doi":"10.1109/ICDSBA48748.2019.00041","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00041","url":null,"abstract":"This article proposes a kind of new hierarchical classification model (HCNN) based on convolutional networks. The coarse category-fine category classification layer is set from the lower layer to the upper layer of the network. The experiment proves the necessity of hierarchical classification structure to classify clothing images. In previous studies, when using convolutional neural networks for image classification or other machine learning methods, most of them did not consider hierarchical. This paper attempts to classify apparel datasets using hierarchical CNN for the first time. The suggested model is a knowledge-embedded classifier which conveys some hierarchical information. We implemented HCNN using VGGNet as the underlying framework on the Fashion-MNIST dataset. The results show that the loss is reduced and the accuracy is improved when compared with the base model without hierarchy.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"6 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":"128285154","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
Hybrid Collaborative Filtering with Attention CNN for Web Service Recommendation 基于注意力CNN的Web服务推荐混合协同过滤
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00020
Jian Ke, Jianbo Xu, Xiangwei Meng, Qixiong Huang
{"title":"Hybrid Collaborative Filtering with Attention CNN for Web Service Recommendation","authors":"Jian Ke, Jianbo Xu, Xiangwei Meng, Qixiong Huang","doi":"10.1109/ICDSBA48748.2019.00020","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00020","url":null,"abstract":"Service-oriented computing has significantly affect the software development in Web 2.0 era, computing diagram and architectures based on Web services were comprehensively developed. As the Web services were continuously increasing, it becomes more difficult for users to screen out Web services that meet their needs and with good quality while facing with a large amount of Web Services. Therefore, how to recommend the best Web services for users has become a hot research direction in the domain of service computing. Many machine-learning approaches, especially CF (collaborative filtering) models based on matrix factorization, has been widely used in service recommendation tasks. However, it is tough for CF models to deal with sparse invocation matrix when capturing the complicate interaction relation between mashups and services, which would result in a bad performance. To solve this problem, we proposed a hybrid collaborative filtering with attention CNN model for web service recommendation by combining collaborative filtering and attention CNN. The mashup-service invocation matrix as well as attention-based CNN are seamlessly integrated into deep neural nets, which could be used to capture the complicated mashup-service relationships. The experiment result we gain could validate that our proposed models performs better than several state-of-the-art approaches in service recommendation tasks, and further demonstrate the effectiveness of our models.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"75 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":"124669339","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
Optimal Breathing Gas Mixture for Professional Diving with Unlimited Supply 最佳呼吸气体混合物的专业潜水与无限供应
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00057
O. I. Basaran
{"title":"Optimal Breathing Gas Mixture for Professional Diving with Unlimited Supply","authors":"O. I. Basaran","doi":"10.1109/ICDSBA48748.2019.00057","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00057","url":null,"abstract":"Professional diving existed since antiquities when divers collected resources from the bottom of the seas and lakes. With technological advancements in the recent century, professional diving activities also increased significantly. Diving has many adverse effects on human physiology which are widely investigated in order to make dives safer. In this study, we focus on optimizing the breathing gas mixture minimizing the dive costs while ensuring the safety of the divers. The methods proposed in this paper are purely theoretical and divers should always have appropriate training and certificates. Also, divers should never perform dives without consulting to professionals and medical doctors with expertise in related fields.","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":"130292712","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
Uncertainty and Ambiguity Management in Supplier Selection using Fuzzy Analytical Model 模糊分析模型在供应商选择中的不确定性和模糊性管理
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00044
Bhagyashree Mohanta, Pragyan Nanda, S. Patnaik
{"title":"Uncertainty and Ambiguity Management in Supplier Selection using Fuzzy Analytical Model","authors":"Bhagyashree Mohanta, Pragyan Nanda, S. Patnaik","doi":"10.1109/ICDSBA48748.2019.00044","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00044","url":null,"abstract":"With the advancement of technology and the integration of global market, makes the supply chain more complex, uncertain and ambiguous that may affect supplier selection and monitoring process. This study is focused on the concept to present a model to identify the critical supplier selection criteria which are important across industries and across purchasing contexts. In this paper, we studied various criticality associated with the supplier selection process and have introduced a Fuzzy Analytical Model i.e. Fuzzy Analytic Hierarchy Process based on Enhanced Multi Criteria Decision Making approach for efficient supplier selection and monitoring by evaluating the priorities of different criteria. Here, we identified and selected different criteria based on their priorities for supplier selection. The proposed model efficiently handles the aforesaid risks associated with the criteria selected for decision making. It also helps the managers or decision makers to focus on the most potential Critical Success Factors (CSFs) for the profitable growth of any organization.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"86 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":"133873759","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
Automatic Checking of Substation Design Model with Visual Script of Design Codes 基于设计规范可视化脚本的变电站设计模型自动校核
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00081
Junhui Hu, Bing Wu, Yuanbin Song, Lan Guan
{"title":"Automatic Checking of Substation Design Model with Visual Script of Design Codes","authors":"Junhui Hu, Bing Wu, Yuanbin Song, Lan Guan","doi":"10.1109/ICDSBA48748.2019.00081","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00081","url":null,"abstract":"The design of a substation is a complex process with potential conflicts against design codes. The benefits of design collaboration based on Building Information Modeling (BIM) approach is still limited due to lack of timely feedback of conflicts between building components or electrical equipment modeled by different disciplines. If these conflicts can be automatically alerted for an in-progress design, unnecessary reworks can be prevented. However, the automatic checking of design model is frequently hindered by the difficulties of programming the design codes and reviewing programmed rules. In this regard, the study develops a framework of visual programming design codes, considering their usage for automatic checking design model defined by both the Industry Foundation Class (IFC) and the Grid Information Model (GIM).","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":"133188865","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
Non-contact Vital Signals Measurement on a Mobile Rescue Robot 移动救援机器人非接触式生命信号测量
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00096
Ruqiang Huang, Weihua Su, Rui Jian, Shiguo Li, Pengfa Xie, Shiyue Zhang, Wei Qin
{"title":"Non-contact Vital Signals Measurement on a Mobile Rescue Robot","authors":"Ruqiang Huang, Weihua Su, Rui Jian, Shiguo Li, Pengfa Xie, Shiyue Zhang, Wei Qin","doi":"10.1109/ICDSBA48748.2019.00096","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00096","url":null,"abstract":"Improving the mobile robot’s ability to perceive the physiological parameter of the wounded during search and rescue missions has attracted the attention from re-searchers. This paper proposed a vision-based vital signals measurement, we detect the human body from video images captured by the camera that mounted on a mobile rescue robot, then track the face. Extract heart rate (HR) and respiration rate (RR) by detecting colour variations of the face skin. We select human posture and face position as experimental variables, the evaluation results show that this method has good consistency with medical monitor, and the overall root mean square error is HR: 1.58, RR: 1.92. This non-contact vital signals detection method will effectively enhance the performance of the mobile robot in search and rescue tasks.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"43 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":"132145076","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
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