{"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}
Zhang Hong, Sun Chun-long, Zheng Zi-jun, An Wei, Zhou De-qiang, Wu Jing-jing
{"title":"A Modified Dynamic Window Approach to Obstacle Avoidance Combined with Fuzzy Logic","authors":"Zhang Hong, Sun Chun-long, Zheng Zi-jun, An Wei, Zhou De-qiang, Wu Jing-jing","doi":"10.1109/DCABES.2015.136","DOIUrl":"https://doi.org/10.1109/DCABES.2015.136","url":null,"abstract":"As a classic reactive method for obstacles avoidance, the dynamic window approach (DWA) uses an objective function to choose the optimal velocity commands. The objective function consists of three weighted terms, respectively urging the robot to face to the target point, avoid crash and move fast. The environment where robot works is usually complex and changeable, and different situations need different weights. However, the original DWA and its extensions use constant weights, and there is no existing algorithm for changing them. In this paper, we propose a modified DWA combined with fuzzy logic. This can be done by analyzing the information about goal and obstacles, and then using fuzzy logic to decide suitable weights in real time. In contrast with the original DWA, the proposed method makes robot move more safely and smoothly.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"105 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":"114232735","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":"A Comprehensive Evaluation System of Association Rules Based on Multi-index","authors":"Shunli Ding, Xin-Xing He, H. Liang","doi":"10.1109/DCABES.2015.83","DOIUrl":"https://doi.org/10.1109/DCABES.2015.83","url":null,"abstract":"Data mining is to extract the potentially useful knowledge and information from large amounts of data. How to dig up effective, reliable, understandable, and interesting association rules from vast amounts of information to help people make decisions has become an urgent problem to be solved. People want to use a reasonable evaluation method to measure reliability or validity of association rules, producing more interesting rules for the users. A multi-index comprehensive evaluation system of association rules was constructed, which can evaluate the association rules from multi-angle and multi-dimensional. Giving different weights for each index, more valuable association rules can be found. Practical data make it clear that the comprehensive evaluation system is rational and superior.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"16 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":"130179389","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":"Distributed Adaptive Control of Diffusion System Based on Multi-agents","authors":"Tiane Chen, B. Cui, Zaihe Cheng","doi":"10.1109/DCABES.2015.109","DOIUrl":"https://doi.org/10.1109/DCABES.2015.109","url":null,"abstract":"This paper addresses the problem of adaptive stabilization control and consensus control of diffusion system based on mobile multi-agents. Multi-agents triggered by events are integrated into diffusion system using self-measurement and neighbors information. Lyapunov redesign method is used to analyze adaptive feedback gain and consensus gain, and induce every agent trajectory. Then automatic guidance strategy is further enhanced to eliminate local falling problem and potential oscillatory behavior. Numerical simulation results show that overall performance can be achieved with the guidance and control strategy in the case of multiple static disturbances or mobile disturbance.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"10 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132070470","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":"Path Planning for Welding Spot Detection","authors":"Xia Zhu, Renwen Chen","doi":"10.1109/DCABES.2015.29","DOIUrl":"https://doi.org/10.1109/DCABES.2015.29","url":null,"abstract":"Aiming at the path optimization of welding spot detection, a novel particle swarm optimization algorithm was proposed and adjusted the parameter in combination with the neighborhood information, which can overcome the local minimum problem to some degree. In the process of path planning, the minimum time was taken as movement criterion. At the current path point, a path planning time function was established. By using the novel particle swarm algorithm, the minimum point of the time function was obtained and taken as the next path point, thus the path of the welding spot could be acquired step by step. The simulation results showed that an effective optimal path was planned by applying the proposed method, which could fulfill the task of welding spot traversal. Finally the theoretical analysis results were verified with simulations, and it was shown that the new algorithm has better convergence accuracy and controllable speed compared with other PSO algorithms.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"254 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":"114192066","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":"Data Analysis of Distributed Application Platform Based on the R Which Apply to Digital Library","authors":"Ningbo Wu, Fan Yang","doi":"10.1109/DCABES.2015.81","DOIUrl":"https://doi.org/10.1109/DCABES.2015.81","url":null,"abstract":"Digital Library large data resource lack of analysis and use, in order to mining the value of big data resources, proposed platformization analysis and processing mode. By integrate R and Hadoop to construct distributed data analysis platform, many big data analytical can be decomposed into \"large\" and \"small\" data processing section, overcome before scheme puzzle on analytical of large dataset, improve the performance of data analysis, platform able to handle data analysis tasks.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"62 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":"115528449","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":"Research on Feature Matching of the Field-Based Network Equipment Image","authors":"Juan Fang, Qi Yue, Jianhua Wei, Junjie Mao","doi":"10.1109/DCABES.2015.63","DOIUrl":"https://doi.org/10.1109/DCABES.2015.63","url":null,"abstract":"To the problem that the identify of software and hardware information in the reverse analysis of Network equipment firmware image, a firmware header parsing scheme based on matching features of the field has been proposed. Through the analysis of the firmware header got feature values and build signature database, then use matching fields to identify the characteristics firmware header information, and then describes the basic ideas and concrete implementation flow. Experimental results show that the scheme can be obtained analytical results more accurately.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"25 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":"123086699","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":"Characters of a Class of a Rational Difference Equation xn+1=(axnxn-1)/(bxn-1-cxn)","authors":"X. Qian, Wang Li-bin, Tang Jie","doi":"10.1109/DCABES.2015.30","DOIUrl":"https://doi.org/10.1109/DCABES.2015.30","url":null,"abstract":"This paper is concerned with the following rational difference equation x<sub>n+1</sub> = ax<sub>n</sub>x<sub>n-1</sub>/(bx<sub>n-1</sub>-cx<sub>n</sub>) , with the initial conditions x-1,x0 ϵ(0,+∞), and a,b,c ϵ R+. Locally asymptotically stability, global attractivity and boundedness character of the equilibrium point of the equation are investigated. Moreover, simulation is shown to support the results.","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":"116864850","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":"The Research of Feedback-Feedforward Iterative Learning Control in Hydrodynamic Deep Drawing Process","authors":"Songwei Shi","doi":"10.1109/DCABES.2015.112","DOIUrl":"https://doi.org/10.1109/DCABES.2015.112","url":null,"abstract":"This paper firstly introduces the characteristics of hydrodynamic deep drawing (HDD), which is an important sheet metal forming technology, then points out the necessity of the chamber pressure control. Secondly considering the characteristics of the drawing action is repeated, iterative learning control (ILC) is the proper algorithm. Then introduces the concept of iterative learning control and feedback - feed forward iterative learning control to solve the delay and improve system robustness. Finally, the computer iterative learning control algorithm implementation process is given and the effectiveness of the algorithm is verified by simulation.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"146 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":"132475039","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}