{"title":"Solving the Economic Dispatch Problem with Q-Learning Quantum-Behaved Particle Swarm Optimization Method","authors":"Xinyi Sheng, Wnbo Xu","doi":"10.1109/DCABES.2015.32","DOIUrl":"https://doi.org/10.1109/DCABES.2015.32","url":null,"abstract":"In this paper, a Q learning quantum-behaved particle swarm optimization (QPSO) method is proposed to solve the economic dispatch (ED) problem in power systems, whose objective is to simultaneously minimize the generation cost rate while satisfying various equality and inequality constraints. The proposed method enhance the global search ability of the algorithm. The feasibility of the QlQPSO method is demonstrated by three different power systems, compared with the GIQPSO, the MeQPSO, and the SlQPSO in terms of the solution quality, robustness and convergence property. The simulation results show that the proposed QlQPSO method is able to obtain higher quality solutions stably and efficiently in the ED problem than other tested optimization algorithm.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"37 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":"116909789","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}
{"title":"A Data Analysis Algorithm of Missing Point Association Rules for Air Target","authors":"Jiang Surong, Lan Jiangqiao, Yan Yuhai","doi":"10.1109/DCABES.2015.82","DOIUrl":"https://doi.org/10.1109/DCABES.2015.82","url":null,"abstract":"It is important to analyze missing point phenomenon in early warning. By using data mining method, the association rules between air target missing point and status of early warning equipment can be concluded. A new mining algorithm is proposed, which firstly divided the target track into two categories, and then acquired the target air track net units with the same characters by clustering. Through matrix calculating and filtering false correlation sets, the association rules can be found. Experimental results demonstrated that this algorithm is efficient and accurate to mine the association rules among missing point events.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"12 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":"126375376","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}
{"title":"An Improved PageRank Algorithm Based on Web Content","authors":"Zhou Hao, Pu Qiumei, Zhang Hong, Sha Zhihao","doi":"10.1109/DCABES.2015.78","DOIUrl":"https://doi.org/10.1109/DCABES.2015.78","url":null,"abstract":"With the development of Web technology and more kinds of information, how to provide high quality, relevant search results become a huge challenge to the current Web search engines. We analyze the shortcomings of PageRank algorithm and Weighted PageRank algorithms and make targeted improvements. By judging the relation between different web pages based on web content, the improved PageRank algorithm improved the user search precision.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"41 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":"125666046","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}
Huang Wen-di, Min Fu-hong, Wang Zhu-lin, Chu Zhou-Jian
{"title":"Chaotic Oscillation Suppression of the Interconnected Power System Based on the Adaptive Back-Stepping Sliding Mode Controller","authors":"Huang Wen-di, Min Fu-hong, Wang Zhu-lin, Chu Zhou-Jian","doi":"10.1109/DCABES.2015.122","DOIUrl":"https://doi.org/10.1109/DCABES.2015.122","url":null,"abstract":"The second-order interconnected power system is investigated in this paper, and the dynamic characteristics of the system under the disturbance of load and electromagnetic power are analyzed through the Lyapunov exponent and Poincaré maps. A adaptive back-stepping sliding mode controller is designed to control the chaotic motion in the power system. Theoretical analysis and numerical simulation results show that the controller can effectively suppress the chaotic oscillation.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"7 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":"125963806","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}
{"title":"Design of Ethernet to Optical Fiber Bridge IP Core Based on SOPC","authors":"Yongjun Zhang, Xiangxing Kong","doi":"10.1109/DCABES.2015.70","DOIUrl":"https://doi.org/10.1109/DCABES.2015.70","url":null,"abstract":"Based on the technology of system on a programmable chip (SOPC), an Ethernet to fiber bridge IP core is developed and implemented in Xilinx FPGAs. The IP core provides a way to interconnect between Ethernet port and optical port, which can be used to address the needs of remote connection and break the transmission distance restriction of cable. The logic design of IP core is done in Xilinx development tools ISE, and then encapsulated into custom IP core in EDK tools, so that the user-defined IP core can be used in embedded system. Build SOPC system with Micro blaze soft-core processor, and add the IP cores into processor platform through Axi4-Stream bus interface. By testing and validating, the results show that Ethernet to optical fiber bridge IP core fulfills the purpose to transmit Ethernet data on optical fiber.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"9 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":"130721596","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}
{"title":"Face Tracking Algorithm Based on Online Random Forests Detection","authors":"Fang Bao, Yankai Zhang","doi":"10.1109/DCABES.2015.87","DOIUrl":"https://doi.org/10.1109/DCABES.2015.87","url":null,"abstract":"The Paper proposed a face tracking algorithm based on online random forests. The algorithm achieved detection-based tracking using online incremental extremely random forests detector, P-N learning is added to correct the detection error, and the dynamic target framework is proposed to maintain the online training set. The proposed algorithm integrated the results of the detector and the P-N learning, and the similarity to the dynamic target framework, thus the tracking position is confirmed. The experimental results show, the proposed algorithm could perform the tracking to any face rapidly and stably in a long-term period and complex background. Thus have practical worth in many application areas.","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":"134197910","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}
{"title":"A Real-Time Micro-sensor Upper Limb Rehabilitation System for Post-stroke Patients","authors":"Guanhong Tao, Yingfei Sun, Zhipei Huang, Jiankang Wu","doi":"10.1109/DCABES.2015.65","DOIUrl":"https://doi.org/10.1109/DCABES.2015.65","url":null,"abstract":"There has been an urgent need for a ubiquitous and quantitative upper limb rehabilitation method for post-stroke patients. This paper presents a real-time micro-sensor-based upper limb rehabilitation system for quantitatively evaluating the patient function status and the rehabilitation training progress. The rehabilitation system mainly consists of three subsystems: a sensor subsystem, a data fusion subsystem, and a rehabilitation training subsystem. The sensor subsystem collects upper limb motion signals and transfers them to the data fusion subsystem. The data fusion subsystem fuses motion signals to obtain motion parameters. The rehabilitation training subsystem visualizes the whole rehabilitation training process in 3D virtual space, visually guiding the patient in the training, highlighting the progress and existing issues. The system can provide rehabilitation ubiquitously, reduce the cost, and bring convenience to patients and families.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"74 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":"114841225","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}
{"title":"A Risk Probability Model of Study Large Vessel Navigation with Wind and Water Flow","authors":"Liu Zhenping, Zhang Shesheng, Gui Yufeng","doi":"10.1109/DCABES.2015.120","DOIUrl":"https://doi.org/10.1109/DCABES.2015.120","url":null,"abstract":"With the development of shipping industry, the large vessel safety of sailing in channel becomes one of the most important issues of concern. This paper considers the influences of drift by wind and current, ship's drift distance combines normal distribution, analyzing the probability distribution of ship, and predicting the risk of ship navigation. It provides some reference for the ship's officer to judge the vessel movement and guarantee the safety of navigation.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"396 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":"123541526","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}
Li Yin, Xingfei Ma, Mengxi Yang, Zhao Wei, Wenqiang Gu
{"title":"Improved Feature Selection Based on Normalized Mutual Information","authors":"Li Yin, Xingfei Ma, Mengxi Yang, Zhao Wei, Wenqiang Gu","doi":"10.1109/DCABES.2015.135","DOIUrl":"https://doi.org/10.1109/DCABES.2015.135","url":null,"abstract":"For the question (NMIFS) algorithm has the disadvantages of redundancy. This paper introduces a new feature selection method by enhanced NMIFS algorithm. A new quality estimation function is introduced in the new feature selection algorithm to overcome the shortcomings of the classic NMIFS, and the experiment shows on that normalized mutual information feature selection The experiment shows that the INMIFS can generate impressive results in accuracy and redundancy.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"31 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":"122989143","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}
{"title":"Safety Assessment Model Based on Dynamic Bayesian Network","authors":"Yu Feng, Liu Wei, Gao Chunyang, T. Lisha","doi":"10.1109/DCABES.2015.100","DOIUrl":"https://doi.org/10.1109/DCABES.2015.100","url":null,"abstract":"To take full advantage of the historical information, we adopt dynamic Bayesian networks and discrete-time Bayesian networks to describe the event trees or dynamic fault trees. On this basis of the regulation, corresponding dynamic Bayesian networks and discrete-time Bayesian networks models are established for safety assessment in timing system. When the discrete-time time Bayesian network of dynamic fault trees is acquired, the Bayesian network is used to study the consequences probability, key degree and computation method. A simulated banking transaction system is analyzed and assessed by above models. The results show that the safety assessment scheme can provide model without subjectivity, which raises the credibility of model. In addition, it can obtain general assessment results and acquire more extensive diagnostics and information.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"6 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":"125217523","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}