2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)最新文献

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The Intelligent Transportation Control Model of Freeway with Ramps 匝道高速公路智能交通控制模型
Liming Gao
{"title":"The Intelligent Transportation Control Model of Freeway with Ramps","authors":"Liming Gao","doi":"10.1109/DCABES.2017.53","DOIUrl":"https://doi.org/10.1109/DCABES.2017.53","url":null,"abstract":"Dealing with freeway bottleneck sections in ramps is hot research topic in most country. A traffic control model is built after dividing highway management units. New concept of regulating density is given after analyzing data. The conclusions are obtained after numerical calculation, that is: before vehicles entering the bottleneck sections, density and speed of vehicles should be controlled. This conclusion is helpful for further research of intelligent transportation system.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"103 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120995771","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
Structure Maintaining Discriminant Maps (SMDM) for Grassmann Manifold Dimensionality Reduction with Applications to the Image Set Classification 基于结构保持判别映射(SMDM)的Grassmann维数降维算法及其在图像集分类中的应用
Rui Wang, Xiaojun Wu
{"title":"Structure Maintaining Discriminant Maps (SMDM) for Grassmann Manifold Dimensionality Reduction with Applications to the Image Set Classification","authors":"Rui Wang, Xiaojun Wu","doi":"10.1109/DCABES.2017.30","DOIUrl":"https://doi.org/10.1109/DCABES.2017.30","url":null,"abstract":"For the image-set based classification, a considerable advance has been made by representing original image sets on Grassmann manifold. In order to extend the advantages of the Euclidean based dimensionality reduction methods to the Grassmann Manifold, several methods have been suggested recently to jointly perform dimensionality reduction and metric learning on Grassmann manifold and they have achieved good results in some computer vision tasks. Nevertheless, when handling the classification tasks on the complicated datasets, the learned features do not exhibit enough discriminatory ability and the data distribution of the resulted Grassmann manifold also be ignored which may lead to overfitting. To overcome the two problems, we propose a new method named Structure Maintaining Discriminant Maps (SMDM) for manifold dimensionality reduction problems. As to SMDM, we mainly design a new discriminant function for metric learning. We make experiments on two tasks: face recognition and object categorization to evaluate the proposed method, the achieved better results compared with the state-of-the-art methods, showing the feasibility and effectiveness of the proposed algorithm.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126921551","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
Comparison of Several Implied Volatility Models 几种隐含波动率模型的比较
Ying Zhuang, Meiqing Wang
{"title":"Comparison of Several Implied Volatility Models","authors":"Ying Zhuang, Meiqing Wang","doi":"10.1109/DCABES.2017.18","DOIUrl":"https://doi.org/10.1109/DCABES.2017.18","url":null,"abstract":"The implied volatility is an important parameter when the trader need to quote the prices of options. The famous B-S Model assumes that the implied volatility surface is a constant independent of the option’s strike and time to maturity. But empirical analysis has proved that implied volatility surface is a non-flat function. There are several popular methods to construct the implied volatility surface. In this paper, the parameter affection and performance of several models are compared and tested by using empirical analysis.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122172228","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
Application of BP Neural Network Based on Quasi-Newton Method in Aerodynamic Modeling 基于准牛顿方法的BP神经网络在气动建模中的应用
Yang Huiying, Huang Zhibin, Zhou Feng
{"title":"Application of BP Neural Network Based on Quasi-Newton Method in Aerodynamic Modeling","authors":"Yang Huiying, Huang Zhibin, Zhou Feng","doi":"10.1109/DCABES.2017.27","DOIUrl":"https://doi.org/10.1109/DCABES.2017.27","url":null,"abstract":"In the study of BP neural network for aerodynamic modeling, few studies have considered improving the generalization ability of models. Improving generalization ability is important in the study of neural network models. Two typical methods to improve the generalization ability are tested in this paper, which are based on the LBFGS algorithm rather than the traditional gradient descent method when training BP neural network. Results indicate that when training neural network based on quasi-Newton method for aerodynamic modeling:1, adding the penalty term can improve the generalization ability 2, adding small variance noise will not improve the generalization ability.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056843","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
An Algorithm Q-PSO for Community Detection in Complex Networks 复杂网络中社区检测的Q-PSO算法
Xiao Cai, Yuan Shi, Youze Zhu, Yulu Qiao, Fang Hu
{"title":"An Algorithm Q-PSO for Community Detection in Complex Networks","authors":"Xiao Cai, Yuan Shi, Youze Zhu, Yulu Qiao, Fang Hu","doi":"10.1109/DCABES.2017.23","DOIUrl":"https://doi.org/10.1109/DCABES.2017.23","url":null,"abstract":"In this paper, based on the particle swarm optimization (PSO) algorithm, introducing the idea of modularity function optimization, a new algorithm Q-PSO for detecting community is proposed. This algorithm can identify the community structure accurately and effectively. In order to verify the performance of this algorithm, which is tested on several representative real-world networks and a set of computer-generated networks based on LFR-benchmark. The experimental results demonstrated that this algorithm can identify the communities accurately, and compared with CNM, Walktrap and infomap algorithms, the presented algorithm can acquire higher values of modularity and NMI in most networks.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114944322","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
Research on User Interface Transformation Method Based on MDA 基于MDA的用户界面转换方法研究
Gao Miao, L. Hongxing, Xie Songyu, Lin Juncai
{"title":"Research on User Interface Transformation Method Based on MDA","authors":"Gao Miao, L. Hongxing, Xie Songyu, Lin Juncai","doi":"10.1109/DCABES.2017.40","DOIUrl":"https://doi.org/10.1109/DCABES.2017.40","url":null,"abstract":"The user interface development method based on model driven architecture can effectively solve the problem that different platform-specific user interfaces have to be developed for the same application when the application needs to run on different platforms. This method firstly designs the platform-independent model (PIM) of the user interface, then transforms the PIM into a variety of mainstream platform-specific model (PSM) automatically or semi-automatically, and finally transforms the PSM to a platform specific code. The user interface transformation method from PIM to PSM is presented in this paper. Firstly, a user interface PSM meta-model is defined. Secondly, the mapping rules of PIM elements to PSM elements are defined in the meta-model level, and the transformation algorithm from PIM to PSM is designed. To verify the effectiveness of the method, we implemented a user interface software development tool which supports the transformation from PIM to PSM based on EMF and GMF.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131641324","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: 6
Surrogate-Based Shape Optimization of an Underwater Glider via Airfoil Design 基于翼型设计的水下滑翔机外形优化
Chengshan Li, Peng Wang, Xinjing Wang
{"title":"Surrogate-Based Shape Optimization of an Underwater Glider via Airfoil Design","authors":"Chengshan Li, Peng Wang, Xinjing Wang","doi":"10.1109/DCABES.2017.51","DOIUrl":"https://doi.org/10.1109/DCABES.2017.51","url":null,"abstract":"This paper proposes a shape optimization method for blended-wing-body underwater gliders (BWBUG). First, three crucial airfoil sections are selected from the BWBUG in this paper. Next, these airfoils are parameterized with Class-Shape function Transformation (CST). And then, the airfoils are optimized by a surrogate-based method along with CFD-based simulations. Besides, a parallel adaptive sequential sampling method is also applied. Finally, the shape of the optimized underwater glider is generated with the optimized airfoil sections. Results show that the lift-to-drag ratio of optimized shape gets improved","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125261947","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
Multiple Models Adaptive Predictive Control Based on PSO Algorithm 基于粒子群算法的多模型自适应预测控制
Liu Gui-ying, Qu Li-ping, Liu Yun-feng
{"title":"Multiple Models Adaptive Predictive Control Based on PSO Algorithm","authors":"Liu Gui-ying, Qu Li-ping, Liu Yun-feng","doi":"10.1109/DCABES.2017.36","DOIUrl":"https://doi.org/10.1109/DCABES.2017.36","url":null,"abstract":"In terms of the characteristics of time lag system, the method of multiple models adaptive predictive control based on particle swarm optimization (PSO) algorithm is proposed. Multiple Models can approach the dynamic character of the controlled object. We can design corresponding controller to each model. We can get final controlled variable with the limited controlled variable by means of weighting. Each controller adopts Predictive Control method. At last the method gets the global optimum by PSO algorithm. We compare the method to PID in time lag system. Simulation result indicates the method not only can overcome inaccuracy of modeling and time variation of parameters but also has good control performance and stronger robustness.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122732979","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
Symptom Distribution Regulation of Core Symptoms in Insomnia Based on Informap-SA Algorithm 基于Informap-SA算法的失眠核心症状症状分布规律
Fang Hu, Yulu Qiao, Guangjing Xie, Yanhui Zhu, Yalin Jia, Panpan Huang
{"title":"Symptom Distribution Regulation of Core Symptoms in Insomnia Based on Informap-SA Algorithm","authors":"Fang Hu, Yulu Qiao, Guangjing Xie, Yanhui Zhu, Yalin Jia, Panpan Huang","doi":"10.1109/DCABES.2017.57","DOIUrl":"https://doi.org/10.1109/DCABES.2017.57","url":null,"abstract":"In the recent decade, clinical data mining in Traditional Chinese Medicine (TCM) based on complex networks has been becoming a hot topic. In this paper, we construct the \"Symptom-Prescription\" bipartite network in insomnia, which can intuitively reflect the relationship between prescriptions and symptoms in insomnia. And then, through projection of this bipartite network, the \"symptom\" network is generated. Based on the \"symptom\" network, the idea of node centrality is introduced to identify the core symptom nodes, which disclose the key factors in clinical diagnosis and treatment. Furthermore, the \"symptom\" network is divided into several communities detected by Infomap-SA algorithm, the nodes in the same community reveal the concurrent rule of symptoms in insomnia, which has practical guiding significance for clinical diagnosis and treatment in TCM.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127991041","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: 6
GPU Accelerated Sequential Quadratic Programming GPU加速顺序二次规划
Xiukun Hu, C. Douglas, R. Lumley, Mookwon Seo
{"title":"GPU Accelerated Sequential Quadratic Programming","authors":"Xiukun Hu, C. Douglas, R. Lumley, Mookwon Seo","doi":"10.1109/DCABES.2017.8","DOIUrl":"https://doi.org/10.1109/DCABES.2017.8","url":null,"abstract":"Nonlinear optimization problems arise in all industries. Accelerating optimization solvers is desirable. Efforts have been made to accelerate interior point methods for large scale problems. However, since the interior point algorithm used requires many function evaluations, the acceleration of the algorithm becomes less beneficial. We introduce a way to accelerate the sequential quadratic programming method, which is characterized by minimizing function evaluations, on graphical processing units.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134159862","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: 5
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