Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5953186
Yali Gao, Yuyan Wang
Computer simulation for improving the liquid crystal display optical performance includes the one-dimensional (1-D) simulation, the two-dimensional (2-D) or sometimes three-dimensional (3-D) simulation. This paper describes the liquid crystal display optics and computer simulation methods.
{"title":"Computer simulation for improving the liquid crystal displays optical performance","authors":"Yali Gao, Yuyan Wang","doi":"10.1109/CSAE.2011.5953186","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5953186","url":null,"abstract":"Computer simulation for improving the liquid crystal display optical performance includes the one-dimensional (1-D) simulation, the two-dimensional (2-D) or sometimes three-dimensional (3-D) simulation. This paper describes the liquid crystal display optics and computer simulation methods.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115571037","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5953210
Kuifu Wang, Juming Cheng
A novel method of minimum frequency shift keying (MSK) based on digital signal processing (DSP) and complex analytic bandpass filter is proposed. According to the bit value of the input data, the MSK complex bandpass signal is directly produced and then is complex analytic bandpass filtered, the real part of the complex bandpass signal is fetched to achieve the MSK modulation. The receiving signal of MSK is sampled, and then complex bandpass filtered to attain the complex bandpass signal. The complex bandpass signal and conjugate signal of its delayed version and the phase shift factor are multiplied together. According to the imaginary part of the product, the original data is recovered. The design method of complex bandpass filter is introduced also.
{"title":"The implementation of MSK based on DSP and complex analytic bandpass filter","authors":"Kuifu Wang, Juming Cheng","doi":"10.1109/CSAE.2011.5953210","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5953210","url":null,"abstract":"A novel method of minimum frequency shift keying (MSK) based on digital signal processing (DSP) and complex analytic bandpass filter is proposed. According to the bit value of the input data, the MSK complex bandpass signal is directly produced and then is complex analytic bandpass filtered, the real part of the complex bandpass signal is fetched to achieve the MSK modulation. The receiving signal of MSK is sampled, and then complex bandpass filtered to attain the complex bandpass signal. The complex bandpass signal and conjugate signal of its delayed version and the phase shift factor are multiplied together. According to the imaginary part of the product, the original data is recovered. The design method of complex bandpass filter is introduced also.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124163577","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5953204
R. Huan, Zhehu Wang, X. Tang, Q. Chen
For intelligent video monitor system, how to detect the moving target accurately is a key problem needed to be solved. The problem is more serious when background is complex. This paper uses a method based on code book to segment the foreground and background to detect the moving targets under complex background. This method uses the threshold of the color distortion of and brightness distortion. It creates a code book for each pixel, and each code book includes one or more code words. Code book will be updated as same as code word. The experimental results prove that even if the movement and brightness of background changes, this method can detect the moving target effectively and has good robustness.
{"title":"Moving target detection under complex background based on code book","authors":"R. Huan, Zhehu Wang, X. Tang, Q. Chen","doi":"10.1109/CSAE.2011.5953204","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5953204","url":null,"abstract":"For intelligent video monitor system, how to detect the moving target accurately is a key problem needed to be solved. The problem is more serious when background is complex. This paper uses a method based on code book to segment the foreground and background to detect the moving targets under complex background. This method uses the threshold of the color distortion of and brightness distortion. It creates a code book for each pixel, and each code book includes one or more code words. Code book will be updated as same as code word. The experimental results prove that even if the movement and brightness of background changes, this method can detect the moving target effectively and has good robustness.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124254041","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5952728
Wang Xiao, Liu Hujun
Collision detection is one of the key technologies in visual simulation system. Through analysis of the principle of collision detection technologies and study of implementation mechanism of collision detection in Vega, this paper gets the method and steps of accomplishing collision detection on platform of Vega. And the workble responsive strategy of collision was introduced. We apply it to virtual battlefield environment. Results of the experiment show that it is effective.
{"title":"The research of collision detection technologies based on Vega","authors":"Wang Xiao, Liu Hujun","doi":"10.1109/CSAE.2011.5952728","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5952728","url":null,"abstract":"Collision detection is one of the key technologies in visual simulation system. Through analysis of the principle of collision detection technologies and study of implementation mechanism of collision detection in Vega, this paper gets the method and steps of accomplishing collision detection on platform of Vega. And the workble responsive strategy of collision was introduced. We apply it to virtual battlefield environment. Results of the experiment show that it is effective.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114558146","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5953314
M. Xian-min, Wen Chen
Based on immune algorithm a novel optimization design scheme of PID speed controller parameters is proposed for the coal mine gas monitored control system in this paper. The principle of Immune algorithm is introduced, and the strategy of PID controller parameters based immune algorithm is discussed. According to the response between antigen and antibody, the PID controller parameters are optimized in order to make the local fan adjusted quickly and stably. The simulation show that immune algorithm PID controller has a faster response time and smaller overshoot compared with the traditional tuning method. It not only improved the adjusting time of local fan, but also achieved energy saving and wind saving. The strong robustness and high tracking performance of the control system applies to the coal mine environment.
{"title":"Optimization of PID parameters for coal gas monitored control system based on aritificial immune algorithm","authors":"M. Xian-min, Wen Chen","doi":"10.1109/CSAE.2011.5953314","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5953314","url":null,"abstract":"Based on immune algorithm a novel optimization design scheme of PID speed controller parameters is proposed for the coal mine gas monitored control system in this paper. The principle of Immune algorithm is introduced, and the strategy of PID controller parameters based immune algorithm is discussed. According to the response between antigen and antibody, the PID controller parameters are optimized in order to make the local fan adjusted quickly and stably. The simulation show that immune algorithm PID controller has a faster response time and smaller overshoot compared with the traditional tuning method. It not only improved the adjusting time of local fan, but also achieved energy saving and wind saving. The strong robustness and high tracking performance of the control system applies to the coal mine environment.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114589967","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5952762
Litao Han, Q. Kong, Bing Liu, Zhiqiang Li
Virtual Geographical Environment is a special instance of virtual environment, which pays more attention to the geographical spatio-temporal properties of all objects and to modeling and simulating macroscopical behaviors of intelligent objects within the geographical space. Modeling intelligent virtual agent is the key of making virtual geographical environment intelligent. Object-oriented Knowledge Representation of virtual geographical space and cognitive mechanism based on composite structure of agent are proposed. Synthetic vision is adopted to simulate the visual sensor of intelligent objects. All above methods meet well the requirements of constructing virtual geographical environment.
{"title":"Building cognitive model of intelligent agent in Virtual Geographical Environment","authors":"Litao Han, Q. Kong, Bing Liu, Zhiqiang Li","doi":"10.1109/CSAE.2011.5952762","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5952762","url":null,"abstract":"Virtual Geographical Environment is a special instance of virtual environment, which pays more attention to the geographical spatio-temporal properties of all objects and to modeling and simulating macroscopical behaviors of intelligent objects within the geographical space. Modeling intelligent virtual agent is the key of making virtual geographical environment intelligent. Object-oriented Knowledge Representation of virtual geographical space and cognitive mechanism based on composite structure of agent are proposed. Synthetic vision is adopted to simulate the visual sensor of intelligent objects. All above methods meet well the requirements of constructing virtual geographical environment.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115006495","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5953283
Jing Yang, De Guo
Intellectual Capital (IC) is becoming an important motivation for M&A in knowledge economy era. The ability of integrating intellectual capital of both M&Amp;A effectively for achieving synergies is the determinants of success or failure in M&Amp;A. This article analyzed the factors of intellectual capital integration based on the formation of intellectual capital according to the former scholars, established the factors of intellectual capital integration index system, and employed the DEMATEL to evaluate the important factors.
{"title":"The analysis of intellectual capital integration factors based on DEMATEL in M & A enterprises","authors":"Jing Yang, De Guo","doi":"10.1109/CSAE.2011.5953283","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5953283","url":null,"abstract":"Intellectual Capital (IC) is becoming an important motivation for M&A in knowledge economy era. The ability of integrating intellectual capital of both M&Amp;A effectively for achieving synergies is the determinants of success or failure in M&Amp;A. This article analyzed the factors of intellectual capital integration based on the formation of intellectual capital according to the former scholars, established the factors of intellectual capital integration index system, and employed the DEMATEL to evaluate the important factors.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114517976","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5953201
Hang Houjun
A set of quintic polynomial basis functions with two parameters are presented. Based on these basis functions, the quintic Bezier curve with two parameters which is called λμ -Bezier curves is defined. λμ -Bezier curves produces a closer fit to the guiding polygon than does the Bézier curves. We can attain local shape control of quintic λμ − B spline curve by modifying the shape parameters exactly to ensure two quintic λμ -Bezier curves segment satisfying C1-continuity at the common endpoint without affecting other parts. Finally,we present a example to illustrate the validity of the modification methods.
{"title":"Two parameters extension of quartic Bézier curve and its applications","authors":"Hang Houjun","doi":"10.1109/CSAE.2011.5953201","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5953201","url":null,"abstract":"A set of quintic polynomial basis functions with two parameters are presented. Based on these basis functions, the quintic Bezier curve with two parameters which is called λμ -Bezier curves is defined. λμ -Bezier curves produces a closer fit to the guiding polygon than does the Bézier curves. We can attain local shape control of quintic λμ − B spline curve by modifying the shape parameters exactly to ensure two quintic λμ -Bezier curves segment satisfying C<sup>1</sup>-continuity at the common endpoint without affecting other parts. Finally,we present a example to illustrate the validity of the modification methods.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114959131","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5952551
Hanyu Hong, Xiangyun Guo, Xiuhua Zhang
Recently, it is still difficult to extract interested object from complex background. In this field, interactive image segmentation method has attracted much attention in the vision. In this paper, we propose a new algorithm to segment the interested object from complex background. In the algorithm, we use the improved K-means clustering in the LUV color space to get more accurate classifications of the labeled pixels. Then, build up energy function model and calculate the energy of segmentation properly. Finally, we get the perfect result through graph cuts and denoising algorithm based on connected components.
{"title":"An improved segmentation algorithm of color image in complex background based on graph cuts","authors":"Hanyu Hong, Xiangyun Guo, Xiuhua Zhang","doi":"10.1109/CSAE.2011.5952551","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5952551","url":null,"abstract":"Recently, it is still difficult to extract interested object from complex background. In this field, interactive image segmentation method has attracted much attention in the vision. In this paper, we propose a new algorithm to segment the interested object from complex background. In the algorithm, we use the improved K-means clustering in the LUV color space to get more accurate classifications of the labeled pixels. Then, build up energy function model and calculate the energy of segmentation properly. Finally, we get the perfect result through graph cuts and denoising algorithm based on connected components.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115088558","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}
Pub Date : 2011-06-10DOI: 10.1109/CSAE.2011.5952682
Suja Shakya, H. Yuan, Xinjun Chen, Liming Song
In this paper, Radial Basis Function Neural Network is presented for fishery forecasting which uses Southwest Atlantic Illex argentines as its testing ground. The model begins with obtaining the network parameters to train the model using training data set and eventually achieving the forecasting results using test data set. The centre for basis function are selected from training set, weights of basis function for optimizing the fit of network is determined by orthogonal least square (OLS) method. In this paper, altogether six environmental factors are used which are months, longitude and latitude, sea surface temperature (SST), Sea surface Height (SSH) and chlorophyll for predicting the Total Habitat Index. The predicted values obtained are in terms of Total habitat index, which is calculated from two different indices such as Job number index and Average daily production index. The statistical model, Multiple Linear regressions is also implemented for fishery forecast. The results obtained from the RBFNN model were compared with Multiple Linear regressions in terms of accuracy criterions MSE, RAE ad PE. It is shown that the intelligent model has high predictive ability and better goodness of fit with respect to statistical models.
{"title":"Application of radial basis Function Neural Network for fishery forecasting","authors":"Suja Shakya, H. Yuan, Xinjun Chen, Liming Song","doi":"10.1109/CSAE.2011.5952682","DOIUrl":"https://doi.org/10.1109/CSAE.2011.5952682","url":null,"abstract":"In this paper, Radial Basis Function Neural Network is presented for fishery forecasting which uses Southwest Atlantic Illex argentines as its testing ground. The model begins with obtaining the network parameters to train the model using training data set and eventually achieving the forecasting results using test data set. The centre for basis function are selected from training set, weights of basis function for optimizing the fit of network is determined by orthogonal least square (OLS) method. In this paper, altogether six environmental factors are used which are months, longitude and latitude, sea surface temperature (SST), Sea surface Height (SSH) and chlorophyll for predicting the Total Habitat Index. The predicted values obtained are in terms of Total habitat index, which is calculated from two different indices such as Job number index and Average daily production index. The statistical model, Multiple Linear regressions is also implemented for fishery forecast. The results obtained from the RBFNN model were compared with Multiple Linear regressions in terms of accuracy criterions MSE, RAE ad PE. It is shown that the intelligent model has high predictive ability and better goodness of fit with respect to statistical models.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115122140","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}
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