{"title":"A sentiment analysis model for hotel reviews based on supervised learning","authors":"Hanxiao Shi, Xiaojun Li","doi":"10.1109/ICMLC.2011.6016866","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016866","url":null,"abstract":"As the widespread use of computers and the high-speed development of the Internet, E-Commerce has already penetrated as a part of our daily life. For a popular product, there are a large number of reviews. This makes it difficult for a potential customer to make an informed decision on purchasing the product, as well as for the manufacturer of the product to keep track and to manage customer opinions. In this paper, we pay attention to online hotel reviews, and propose a supervised machine learning approach using unigram feature with two types of information (frequency and TF-IDF) to realize polarity classification of documents. As shown in our experimental results, the information of TF-IDF is more effective than frequency.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122175649","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}
Yung-Cheng Yao, Chia-Hsin Cheng, Guo-Jun Wen, J. Wen
{"title":"Multiuser detection using simulated annealing Hopfield neural network for DS-UWB systems","authors":"Yung-Cheng Yao, Chia-Hsin Cheng, Guo-Jun Wen, J. Wen","doi":"10.1109/ICMLC.2011.6016758","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016758","url":null,"abstract":"The authors introduced the simulated annealing Hopfield neural network and applied it to multiuser detection in direct sequence-ultra-wideband (DS-UWB) systems in this paper. The conventional HNN algorithm may converge easily to local minimum. In order to solve this problem, the authors proposed modified HNN based on simulated annealing (SA) method which can avoid local minimum problem. From simulation results, the HNN detector based on SA method provided an attractive performance. The HNN detector based on SA method could be implemented easily on hardware circuit in the multiuser DS-UWB systems.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122176023","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}
Jia Wang, Chao-ying Liu, Xue-ling Song, Zhe-ying Song
{"title":"A realization method for fuzzy decoupling control of the Circulating Fluidized Bed Boiler","authors":"Jia Wang, Chao-ying Liu, Xue-ling Song, Zhe-ying Song","doi":"10.1109/ICMLC.2011.6016739","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016739","url":null,"abstract":"Since the combustion system of the Circulating Fluidized Bed Boiler (CFBB) is a complex object characterized by multiple variables, long time-delay, tight coupling, and time-varying. This paper introduces a new method of fuzzy decoupling, which fuzzy rules were used for compensation decoupling unit. And it puts forward for the strongly multivariable coupling of the combustion control system. From the simulation of the CFBB by using MATLAB/SIMULINK, the new method has effective decoupling performance, and it has good dynamic characteristic and static characteristic.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122720699","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 universal distributed model for password cracking","authors":"Jing Zou, D. Lin, Guo-Cui Mi","doi":"10.1109/ICMLC.2011.6016851","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016851","url":null,"abstract":"Due to the parallel nature of brute force attack, it is well suited to use parallel or distributed computing to recover passwords encrypted by one-way hash functions. When distributing the password cracking task between threads or nodes, it is necessary to divide the search space into several subspaces. It is ideal that the size of these subspaces is the same for a load balanced solution. However, increasing the length of passwords will raise the number of combinations exponentially. This will raises issues for the search space uniform partition. This paper presents a universal distributed model for password cracking capable of dividing the search space evenly. For this, the paper addresses the definition of a base-n-like number, and discusses operations on it and relations with base-n number. The model is data independent, easily implemented and needs a few of communications. Experimental results are then shown.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122903575","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":"RFID restaurant POS system","authors":"Horng-Lin Shieh, Yi-Chun Liao","doi":"10.1109/ICMLC.2011.6016799","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016799","url":null,"abstract":"In order to reduce the labor cost, improve the service quality, and achieve energy saving and carbon reduction for restaurants, this paper integrated a RFID, server and graphical man-machine interface to develop an ordering system for restaurants. The system can improve the service efficiency, lower the operating cost, and reduce environmental burden.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123842611","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":"Direct adaptive fuzzy decoupled sliding control for a class of under-actuated uncertain systems","authors":"Yao-Chu Hsueh, S. Su","doi":"10.1109/ICMLC.2011.6016703","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016703","url":null,"abstract":"Based on the hierarchical sliding mode, a novel direct adaptive fuzzy control design for a class of uncertain under-actuated systems is proposed in the paper. A sliding control law can be derived from the hierarchical sliding mode such that all system states are stabilized at the same time. However, since the system considered is assumed to be uncertain, the sliding control law becomes uncertain too and then cannot be implemented directly. Thus, in our study, a direct adaptive fuzzy control design is proposed to estimate the sliding control law, and a robust control law is further provided to enhance the control performance. Simulations are conducted and the obtained results clearly demonstrate the effectiveness of the proposed approach.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126235387","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 novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems","authors":"P. Chan, Hui Yu, Wing W. Y. Ng, D. Yeung","doi":"10.1109/ICMLC.2011.6017035","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6017035","url":null,"abstract":"In adaptive threshold clustering key frame extraction systems, the video is sliced into different segments according to the adaptive threshold. One or more frames are selected from each segment as key fames to represent the video. However, those key frames may very similar. These redundant key frames provide limited information. In this paper, we propose a novel method to handle this problem which removes redundancy based on the edge structure similar measure. Experiment results show that this method is effective in reducing the redundancy comparing with methods based on low-level color information in term of accuracy and the time complexity.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130099480","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":"Disturbance rejection using error estimation in neural network controller design","authors":"P. Chan, Bo Peng, Wing W. Y. Ng, D. Yeung","doi":"10.1109/ICMLC.2011.6016931","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016931","url":null,"abstract":"Disturbance rejection is an important factor in evaluating the performance of a control system. By using error estimations, we expand a virtual area among actual error points in the error space which is composed of runtime errors and their derivatives. Rather than driving our neural network controller (NNC) with actual error signals, we utilize virtual error signals under different expanding parameters. Simulations have successfully shown that out method could resist unexpected disturbance in many cases.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129242604","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}
Shuxin Luo, Yan-Rong Niu, J. Qiu, Ying-Xu Yang, Wen-Jie Lu, Rui-Qing Liu
{"title":"Fault-tolerant guaranteed cost control based on T-S fuzzy systems with the sensor fault and time-delay","authors":"Shuxin Luo, Yan-Rong Niu, J. Qiu, Ying-Xu Yang, Wen-Jie Lu, Rui-Qing Liu","doi":"10.1109/ICMLC.2011.6016903","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016903","url":null,"abstract":"In this paper, based on a class of T-S fuzzy systems with sensor fault and time delays, a fault-tolerant guaranteed cost control method is proposed. This method is on the premise of the system state observer, according to the fault estimate, establishes output feedback controller and determines fault-tolerant guaranteed cost controller, thus ensures that the closed-loop system is asymptotically stable and to have the appropriate performance index. Then uses LMI toolbox to solve the controller. Finally, simulation result of example shows the feasibility and effectiveness of this method.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124634866","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 generalized expectations of the reductions for type-2 fuzzy variable","authors":"Yanju Chen","doi":"10.1109/ICMLC.2011.6016734","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016734","url":null,"abstract":"In fuzzy possibility theory, type-2 (T2) fuzzy variable is an appropriate tool for describing T2 fuzziness. T2 triangular fuzzy variable is one common T2 fuzzy variable. Based on the concepts of generalized credibility and generalized expectation, this paper deduces the generalized expectation formulas for the three reductions of T2 triangular fuzzy variable which are obtained by using the critical value (CV) reduction methods. While solving some optimization problems with T2 fuzzy coefficients, these formulas will be useful.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127273170","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}