{"title":"Recognition of Chinese Characters Using Comprehensive Shape Features","authors":"Jie Chen, Ya-hui Ma","doi":"10.1109/ISA.2011.5873334","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873334","url":null,"abstract":"The reason that Chinese characters are more difficult to identify than alphabetic characters lies in the fact that the precedent has more characters and more flexible shape distortion in hand-written process.In this paper, a novel approach based on comprehensive shape features for the recognition of Chinese characters is proposed. In this approach,firstly, the comprehensive features including the contour,the skeleton ,the texture and the stroke order are acquired by an improved algorithm.Secondly, the features are composed as a vector with variational weights using supporting vector machine.Lastly,according to the standard Chinese characters list the input of hand-written character is recognized.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116897687","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 Runtime Model Checker for Dynamic Software Based on Aspect-Oriented Programming","authors":"Hongwei Yang","doi":"10.1109/ISA.2011.5873401","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873401","url":null,"abstract":"Increasingly, more and more software systems must make dynamic reconfiguration of their architectures at runtime to adapt to the changing conditions. The runtime verification of architecture evolution is necessary to guarantee the conformance to the specification. In this paper, we propose a runtime model checker that supports dynamic reconfiguration of software architectures taking advantage of linear temporal logic and aspect-oriented programming. The runtime model checker is a concurrent thread with the execution thread of the dynamic software, and is an automaton which can accept exactly the set of executions that satisfy the given specification defined by LTL. So the proposed runtime model checker can monitor and verify the architecture evolution of a dynamic software system continuously at runtime.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132533068","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":"Analysis of Energy Consumption Prediction Model Based on Genetic Algorithm and Wavelet Neural Network","authors":"Hui Zhao, Rong Liu, Zhuoqun Zhao, Chuanli Fan","doi":"10.1109/ISA.2011.5873468","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873468","url":null,"abstract":"This paper analyzed the enterprise process energy consumption systematically with a lot of statistic data starting from energy efficiency, and established the energy consumption prediction model based on genetic algorithm of wavelet neural network (GA-WNN). This paper made previous optimization training with genetic algorithm, which have feature of natural evolution regularity, to the weights and dilation-shift scale of wavelet neural network. Partly replaced gradient descent method of wavelet frame neural network where parameters optimization only with a single gradient direction, overcame the shortcoming that easily into the local minimum and cause oscillation effect of the single gradient descent method. Simulation results showed the effectiveness of the forecasting model, and it is feasible for solving the process energy consumption multi-factor quantitative analysis problem which general mathematical model is difficult to describe.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131718829","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":"Hierarchy Particle Swarm Optimization Algorithm (HPSO) and Its Application in Multi-Objective Operation of Hydropower Stations","authors":"Junjie Yang, Yifu Jin","doi":"10.1109/ISA.2011.5873406","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873406","url":null,"abstract":"A multi-objective daily generation scheduling model for the hydropower stations is established, in which two objective functions including maximization of peak-energy capacity benefits and maximization of power generation are involved¿Cand the hierarchy particle swarm optimization (HPSO) algorithm solving the model is proposed, the algorithm can handle the level multi-objective optimization problem effectively, and has the advantages of good convergence property and simplicity. Multi-objective daily generation scheduling problem of the Three Gorges cascade hydropower system during low-flow period is studied with HPSO algorithm to obtain the maximum peak-energy capacity benefits, as well as power generation benefits of three gorges cascade stations.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122948144","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":"Study on System Analysis of University Students Evaluation System","authors":"Yongqiang He, Jianxin Wang","doi":"10.1109/ISA.2011.5873363","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873363","url":null,"abstract":"Quality-oriented education is the core requirement of reform of university. Building a university students' comprehensive quality evaluation system with feedback mechanism can enable timely and accurate response to the operational results of the existing evaluation system. By giving full play to feedback, every student and teaching stuff can benefit from the process of unceasing improvement and perfection of the comprehensive quality evaluation system. Thus it boosts the reform process of quality-oriented education in universities. This thesis expounds one kind of system analysis process for university students' evaluation system and gives functional architecture of the system based on detailed analysis of transaction flow and data flow by use of transaction flow diagram and data flow diagram.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123884532","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":"Application of Bayesian Network in Intelligent CAI","authors":"Wen-long Ma, Jian-ping Liao, Wen-li Yu","doi":"10.1109/ISA.2011.5873364","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873364","url":null,"abstract":"Many uncertainty factors exist in the process of building the student model in Intelligent CAI. This article adopts Bayesian Network to deal with these uncertainties. The paper emphatically analyzes the constructive process of Bayesian network in the student model and optimize the Bayesian Network by applying a algorithm to search cluster nodes, which improves the adaptability of the Intelligent CAI .","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127673422","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 Application of the Combinatorial Optimization Problems Based on Preventive Feedback Pulse Coupled Neural Network","authors":"Xiaowen Feng, K. Zhan, Yide Ma","doi":"10.1109/ISA.2011.5873407","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873407","url":null,"abstract":"Pulse Coupled Neural Network (PCNN) with the phenomena of synchronous pulse bursts is different from traditional artificial neural networks. In this paper, the auto-wave in PCNN is used to solve combination optimization problems. The preventive feedback based on triangle inequality theorem is introduced to prevent bad solutions, and Preventive Feedback Pulse Coupled Neural Network (PFPCNN) is presented. In the process of searching solutions, the solution space complexity of combinatorial optimization problems is reduced and the efficiency and accuracy is improved. This algorithm is applied to SP, TSP simulation. The results show that the algorithm can effectively reduce space complexity and improve the searching speed further.The method based on auto-wave to solve combination optimization problems is a more quickly, more stable.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327381","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":"Novel Chinese Calligraphy Style Generation Based on Curve Analogy","authors":"Jie Chen, Ya-hui Ma","doi":"10.1109/ISA.2011.5873362","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873362","url":null,"abstract":"By learning the various character image samples, the automatic and synchronistic generation of new Chinese calligraphy styles is a key problem in the computer artistic simulating. A curve analogy method based on FSVM is proposed which can generate new calligraphy styles with the user's constraining styles'parameters. Firstly, the input character image samples are transferred into a hierarchical stroke structural model .Secondly, the matching points in the various skeleton structure are retrieved with FSVM,which provide the control parameter of the curve analogy process. Lastly, the new skeletons are reconstructed into the calligraphy characters. The efficiency of our approach is manifested by the preliminary experiment with generation of quantity of novel calligraphy styles,which can be manipulated by the user's parameters' setting and input characters styles.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128555985","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 Design of Monitoring Management Decision Support System of Water Resources Based on GIS","authors":"Yingzhan Hu, Xuemei Hu, Xingzhi Yu","doi":"10.1109/ISA.2011.5873333","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873333","url":null,"abstract":"This paper has integrated the automatic monitoring system of water resources, and fully excavated the monitoring information contents, and introduced information fusion technology, and discussed and analyzed information collection and transmission and processing, and brought forward the system which has versatility and portability and scalability by using geographic information systems and databases and other tools. The system can provide decision support for flood control and drainage management and simulation and prediction of water environment and the supply and demand analysis of water resources, these will greatly improve the management and decision-making level of water resources, and furnish reliable guarantee for economic and social development.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128589747","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 Aero-Engine Sensor Failure Diagnosis with Dual Redundant Predictors Based on Neutral Network","authors":"Yigang Sun, Daming Ren","doi":"10.1109/ISA.2011.5873346","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873346","url":null,"abstract":"In consideration of the common sensor failures in aero-engine control system, a new approach is proposed using dual redundant predictors based on neutral network in this paper. The neutral network temporal redundant predictor and spatial redundant predictor are created over the time series redundant information of single sensor and the space redundant information of multi-sensor respectively. The threshold-value differentiate method is applied for real-time sensor failure detection. Isolate the fault sensor and use the outputs of spatial redundant predictor to accommodate it. Digital simulation results show that this method is effective and feasible.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129039209","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}