发布求助
文献互助 智能选刊 最新文献

2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)最新文献

筛选
英文 中文
Real-Time Calculation of Road Traffic Saturation Based on Big Data Storage and Computing 基于大数据存储与计算的道路交通饱和度实时计算
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.58
Youwei Yuan, Linliang He, W. Li, Lamei Yan, M. M. Deris
{"title":"Real-Time Calculation of Road Traffic Saturation Based on Big Data Storage and Computing","authors":"Youwei Yuan, Linliang He, W. Li, Lamei Yan, M. M. Deris","doi":"10.1109/DCABES.2015.58","DOIUrl":"https://doi.org/10.1109/DCABES.2015.58","url":null,"abstract":"Road traffic saturation data is streaming at unprecedented speed and must be dealt with in a timely manner. In the paper, we put forward a real-time calculation method of road traffic saturation based on big data storage and computing. We will calculate the road traffic saturation data via adjacent traffic checkpoint while the computing and storage of road saturation based on Spark big data processing engine of big data and the final result data storage to the non-relational database HBase. The experiment results show that the performance of our method is superior to the original methods mainly embodied in the advantages of precision and real-time.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114688194","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
3D Multi-modality Medical Image Registration Based on Quantum-Behaved Particle Swarm Optimization Algorithm 基于量子粒子群优化算法的三维多模态医学图像配准
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.85
Li Hui, Zhu Zhijun
{"title":"3D Multi-modality Medical Image Registration Based on Quantum-Behaved Particle Swarm Optimization Algorithm","authors":"Li Hui, Zhu Zhijun","doi":"10.1109/DCABES.2015.85","DOIUrl":"https://doi.org/10.1109/DCABES.2015.85","url":null,"abstract":"Image registration based on mutual information is of high accuracy and robustness. Unfortunately, the mutual information function is generally not a smooth function but one containing many local maxima, which has a large influence on optimization. This paper proposes a registration method based on Quantum-behaved Particle Swarm Optimization Algorithm. Not only QPSO has less parameters to control, but also does its sampling space at each iteration covers the whole solution space. Thus QPSO can find the best solution quickly and guarantee to be global convergent. Experiments shows that this registration method could efficiently restrain local maxima of mutual information function and it can improve accuracy. Compare with the gold standard, the subvoxel accuracy can be achieved.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125891944","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
Estimation of Clusters Number and Initial Centers of K-Means Algorithm Using Watershed Method 基于分水岭法的K-Means聚类数和初始中心估计
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.132
Xiaolong Wang, Yiping Jiao, Shu-ming Fei
{"title":"Estimation of Clusters Number and Initial Centers of K-Means Algorithm Using Watershed Method","authors":"Xiaolong Wang, Yiping Jiao, Shu-ming Fei","doi":"10.1109/DCABES.2015.132","DOIUrl":"https://doi.org/10.1109/DCABES.2015.132","url":null,"abstract":"In K-means clustering algorithm, the selection of cluster number k and initial K-means center has certain influence on the result. It would generate very different aggregation result when confronting with some certain types of data set. This paper aims at proposing an estimation method to evaluate the initial parameters for K-means algorithm. The estimation is executed through data analysis, which contains two main steps: the data would be transformed into data dimensional density first, and then, watershed method would be applied to divide the data space into multiple regions. Each regional center is selected as an initial K-means center, and the number of region is set as cluster number. This estimation method takes advantage of image segmentation ideology and the case study in this paper showed its favorable performance.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122620320","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: 8
A Parallel Algorithm of Green Function with Free Water Surface 具有自由水面的格林函数并行算法
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.17
Chao Sun, She-sheng Zhang
{"title":"A Parallel Algorithm of Green Function with Free Water Surface","authors":"Chao Sun, She-sheng Zhang","doi":"10.1109/DCABES.2015.17","DOIUrl":"https://doi.org/10.1109/DCABES.2015.17","url":null,"abstract":"According to the convenient using principle of parallel computation, the control equation and boundary condition of point source with free water surface are given, the basic analyzing solution is obtained, the Green function representation is discussed., the discrete calculation expression and calculation procedure are proposed with parallel computer, two-dimensional graphics of the Green function's real and imaginary part are plotted.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131540090","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
Analysis Range of Coefficients in Learning Rate Methods of Convolution Neural Network 卷积神经网络学习率方法中系数范围的分析
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.134
Jiang Zou, Q. Wu, Yusong Tan, Fuhui Wu, Wenzhu Wang
{"title":"Analysis Range of Coefficients in Learning Rate Methods of Convolution Neural Network","authors":"Jiang Zou, Q. Wu, Yusong Tan, Fuhui Wu, Wenzhu Wang","doi":"10.1109/DCABES.2015.134","DOIUrl":"https://doi.org/10.1109/DCABES.2015.134","url":null,"abstract":"Convolutional Neural Network (CNN) is a type of feed-forward artificial neural network, exploiting the unknown structure in input distribution to discover good representations with multiple layers of small neuron collections. CNN uses relatively little pre-processing compared to other classification algorithms, usually uses gradient decent to updates the parameters in the network. Since CNN was introduced in 1997s to deal with face recognition, it has made much achievement in many fields, and has been the state-of-the-art method in face recognition, speech recognition, etc. To get small error rate and a better speed of training the CNNs, a lot of learning rate methods are proposed. In this paper, we analyzed the range of the coefficients in these methods with a restriction of max convergence constant step learning rate. In our experiments, we find the max convergence learning rate by dichotomy with little computation cost, we also confirm the range of coefficients is useful. Moreover, we gives a comparison among these methods on speed and error rate.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125290447","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: 4
Spatial Statistics Parallel Computing Model of Stock 库存空间统计并行计算模型
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.8
Z. Dai, Zenli Sun XinChen, Chuanmei Wang, Shesheng Zhang
{"title":"Spatial Statistics Parallel Computing Model of Stock","authors":"Z. Dai, Zenli Sun XinChen, Chuanmei Wang, Shesheng Zhang","doi":"10.1109/DCABES.2015.8","DOIUrl":"https://doi.org/10.1109/DCABES.2015.8","url":null,"abstract":"The research of stare is useful for country and people. A space share rising statistical parallel model is built by using statistical theory. The formula of correlation between stock prices is given. The regression equation with space coordination is obtained.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116479919","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 of O2O-Oriented Service Discovery Method Based on User Context 基于用户上下文的面向o2o的服务发现方法研究
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.36
Shen Qiping, Li Qing, Deng Juan, Wu Zhong
{"title":"Research of O2O-Oriented Service Discovery Method Based on User Context","authors":"Shen Qiping, Li Qing, Deng Juan, Wu Zhong","doi":"10.1109/DCABES.2015.36","DOIUrl":"https://doi.org/10.1109/DCABES.2015.36","url":null,"abstract":"In the last few years, O2O (Online To Offline) mode become more and more popular, which brings offline service and online web service together, it is important to consider the quality attributes of offline service when recommending service for users online. But in the field of service discovery system, most of the studies focused on function and quality requirements of online service, not on offline service. Furthermore, the existing service discovery methods are generally based on users' function and quality requirements, ignoring the fact that users may have different needs in different contexts. In this paper, we proposed a context-based O2O-ortiented service discovery method, selecting service with function and quality requirements first, and then filtering service with context information, to get the contextual personalized services for users.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134154615","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 Novel Changeable Sliding Window Method for Predicting Horizontal Displacement of Dam Foundation 一种新的坝基水平位移变滑动窗预测方法
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.130
Chen-guang Jiang, Feng Xu, Xin Lv, Guoyan Xu, Yingchi Mao, Longbao Wang
{"title":"A Novel Changeable Sliding Window Method for Predicting Horizontal Displacement of Dam Foundation","authors":"Chen-guang Jiang, Feng Xu, Xin Lv, Guoyan Xu, Yingchi Mao, Longbao Wang","doi":"10.1109/DCABES.2015.130","DOIUrl":"https://doi.org/10.1109/DCABES.2015.130","url":null,"abstract":"The prediction of horizontal displacement is significant important to the safety-control in dam. A number of regression analysis-based methods have been proposed. However, most of the methods have unsatisfied performance on prediction accuracy in case of the sample size is unknown. In this paper, a method based on changeable sliding window is proposed to predict horizontal displacement of dam foundation dynamically, which the optimal fitting model and samples can be selected through a way of multiple iterations. The experiment results show that the fair changing pattern can be discovered by the proposed method, and it is also suitable for the prediction in other area.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124149421","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
Study of Copyright Protection for Merchandise Pictures in E-Commerce 电子商务中商品图片的版权保护研究
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.41
Liyi Zhang, Chang Liu
{"title":"Study of Copyright Protection for Merchandise Pictures in E-Commerce","authors":"Liyi Zhang, Chang Liu","doi":"10.1109/DCABES.2015.41","DOIUrl":"https://doi.org/10.1109/DCABES.2015.41","url":null,"abstract":"For solving the picture misappropriation problem in e-commerce, this paper proposes a content-based copyright detection method for e-commerce website pictures. First, a picture is smoothed by bilateral filter in order to effectively preserve the key points in the edges and low-contrast regions, which ensure the integrity of its key points. Second, the picture's texture feature is extracted by using Gabor filter, and the shape feature is captured by Hu moment. Third, feature vectors are assigned weights and normalized in order to reduce the effects of variations in their dimensions and components. Finally copyright-infringing pictures are detected by calculating the Euclidean distance and we use fuzzy heuristics to measure similarity between the query and the database images. The test dataset is crawled from the largest e-commerce website (Taobao.com). The copyright-infringing pictures can be detected by the method and the average accuracy reaches 91%, achieved the desired effect.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127920822","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
Metadata Namespace Management of Distributed File System 分布式文件系统元数据命名空间管理
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI: 10.1109/DCABES.2015.13
Baoshan Luo, Xinyan Zhang, Zhipeng Tan
{"title":"Metadata Namespace Management of Distributed File System","authors":"Baoshan Luo, Xinyan Zhang, Zhipeng Tan","doi":"10.1109/DCABES.2015.13","DOIUrl":"https://doi.org/10.1109/DCABES.2015.13","url":null,"abstract":"With the rapid development of internet, the distributed file system is gradually facing problem of supporting concurrent 10K and 100K servers operations, so it now becomes an important issue that how to improve performance of the metadata server in high concurrent reading /writing environments. This paper designs and implements the distributed file system named Raccoon FS, researches and solves the problem of low response speed of namespace management brought by the lock competition in distributed file system, and it proposes a new metadata namespace management method that realized the technology of Copy-On-Write and Multi-Version Concurrency Control in B+ tree. Through the evaluation, the namespace management that combined COW and MVCC in B+ tree greatly improved the read and write performance.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128950135","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书