Pub Date : 2012-09-24DOI: 10.1109/CSIP.2012.6308973
Jie Weng, Yuhuan Jiang, Gaomeng Jia, Bingfu Wu, Taigui Qin
In this paper, the positive effects of Xi'an International Horticultural Expo in the city constructing field have been assessed quantitatively in two aspects. Firstly we use gray prediction model to quantitatively calculate the influence of Xi'an International Horticultural Expo to Xi'an's overall economy. We conclude that, with the approach of the Expo, its economic role is gradually promoted. Then we establish the Logistic propagation model to study the changing trends of national public's environmental protection awareness, which represents the promoting role of Xi'an Expo in urban construction.
{"title":"Research of Xi'an Expo's city construction promoting role based on mathematical statistics","authors":"Jie Weng, Yuhuan Jiang, Gaomeng Jia, Bingfu Wu, Taigui Qin","doi":"10.1109/CSIP.2012.6308973","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6308973","url":null,"abstract":"In this paper, the positive effects of Xi'an International Horticultural Expo in the city constructing field have been assessed quantitatively in two aspects. Firstly we use gray prediction model to quantitatively calculate the influence of Xi'an International Horticultural Expo to Xi'an's overall economy. We conclude that, with the approach of the Expo, its economic role is gradually promoted. Then we establish the Logistic propagation model to study the changing trends of national public's environmental protection awareness, which represents the promoting role of Xi'an Expo in urban construction.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116626976","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 : 2012-09-24DOI: 10.1109/CSIP.2012.6309062
Xingmin Xu
The paper briefly introduces Virtual Reality technologies and Web 3D technologies, and then elaborates the following eight typical Web 3D development technologies: VRML, X3D, Java 3D, Cult 3D, ShockWave 3D, Virtools, Viewpoint and WebMax. The analysis of the features of the technologies will provide users with reliable bases for their selection.
{"title":"An analysis of several typical Web 3D development techonologies","authors":"Xingmin Xu","doi":"10.1109/CSIP.2012.6309062","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6309062","url":null,"abstract":"The paper briefly introduces Virtual Reality technologies and Web 3D technologies, and then elaborates the following eight typical Web 3D development technologies: VRML, X3D, Java 3D, Cult 3D, ShockWave 3D, Virtools, Viewpoint and WebMax. The analysis of the features of the technologies will provide users with reliable bases for their selection.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127511858","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 : 2012-09-24DOI: 10.1109/CSIP.2012.6308896
Li Lu, Xu Chen
In this paper we investigate the optimal production policy of complete monopoly firm, establish and solve the model with and without Carbon Emissions Trading. We obtain the optimal production and maximum profit in different cases. The results show that when carbon emission quotas distributed by the government are greater than the firm's needs, firm's optimal production is not affected, and the maximum profit with Carbon Emissions Trading is bigger than the case without Carbon Emissions Trading; when carbon emission quotas distributed by the government are less than the firm's needs, the optimal production and maximum profit with Carbon Emissions Trading are both greater than the case without Carbon Emissions Trading. So the Carbon Emission Trading creates a new profit space for the firms.
{"title":"Optimal production policy of complete monopoly firm with Carbon Emissions Trading","authors":"Li Lu, Xu Chen","doi":"10.1109/CSIP.2012.6308896","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6308896","url":null,"abstract":"In this paper we investigate the optimal production policy of complete monopoly firm, establish and solve the model with and without Carbon Emissions Trading. We obtain the optimal production and maximum profit in different cases. The results show that when carbon emission quotas distributed by the government are greater than the firm's needs, firm's optimal production is not affected, and the maximum profit with Carbon Emissions Trading is bigger than the case without Carbon Emissions Trading; when carbon emission quotas distributed by the government are less than the firm's needs, the optimal production and maximum profit with Carbon Emissions Trading are both greater than the case without Carbon Emissions Trading. So the Carbon Emission Trading creates a new profit space for the firms.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125099720","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}
We present a novel method for manifold learning, which identifies the low-dimensional manifold-like structure presented in a set of data points in a possibly high-dimensional space with homomorphism contained. The main idea is derived from the concept of covariant components in curvilinear coordinate systems. In a linearly transparent way, we translate this idea to a cloud of data points in order to calculate the coordinates of the points directly. Our implementation currently uses Dijkstra's algorithm for shortest paths in graphs and some basic theorems from Riemannian differential geometry. We expect this approach to open up new possibilities for manifold learning using only geometry constraints, which means the coordinate system is “learned” from experimental high-dimensional data rather than defined analytically using e.g. models based on PCA, MDS, and Eigenmaps.
{"title":"Algorithm for Riemannian manifold learning","authors":"Shaorong Chen, Hongqiang Wang, Xiang Li, Yongshun Ling","doi":"10.1109/CSIP.2012.6309028","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6309028","url":null,"abstract":"We present a novel method for manifold learning, which identifies the low-dimensional manifold-like structure presented in a set of data points in a possibly high-dimensional space with homomorphism contained. The main idea is derived from the concept of covariant components in curvilinear coordinate systems. In a linearly transparent way, we translate this idea to a cloud of data points in order to calculate the coordinates of the points directly. Our implementation currently uses Dijkstra's algorithm for shortest paths in graphs and some basic theorems from Riemannian differential geometry. We expect this approach to open up new possibilities for manifold learning using only geometry constraints, which means the coordinate system is “learned” from experimental high-dimensional data rather than defined analytically using e.g. models based on PCA, MDS, and Eigenmaps.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123257030","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 : 2012-09-24DOI: 10.1109/CSIP.2012.6308847
Qi Li, F. Yan, T. Feng, W. Peng, S. Tan
This paper describes the design and operation of a narrow linewidth, linear cavity, erbium-doped fiber laser with saturable absorber. The saturable absorber, spliced to a narrowband fiber Bragg grating, acts as a transition fiber grating with narrow bandwidth that automatically tracks the lasing wavelength. Laser output power was ~2.5mw at 1544.39nm for a pump power of 55mw, the signal to noise ratio (SNR) was approximately 57dB, and the slope efficiency was approximately 5%.
{"title":"Narrow linewidth, linear cavity, erbium-doped fiber laser with saturable absorber","authors":"Qi Li, F. Yan, T. Feng, W. Peng, S. Tan","doi":"10.1109/CSIP.2012.6308847","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6308847","url":null,"abstract":"This paper describes the design and operation of a narrow linewidth, linear cavity, erbium-doped fiber laser with saturable absorber. The saturable absorber, spliced to a narrowband fiber Bragg grating, acts as a transition fiber grating with narrow bandwidth that automatically tracks the lasing wavelength. Laser output power was ~2.5mw at 1544.39nm for a pump power of 55mw, the signal to noise ratio (SNR) was approximately 57dB, and the slope efficiency was approximately 5%.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125594564","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 : 2012-09-24DOI: 10.1109/CSIP.2012.6308794
Mengling Wang, H. Shi
For partial differential equation description unknown spatially distributed systems, the number of local models determines the dimension of the model. So far, there is no mature method about how to obtain the optimal region division. Usually, the local region division is related with the location of sensors. It may affect the accuracy and computational complexityH of the modeling directly. This paper presents an optimal model reduction approach for spatially distributed systems based on simulated annealing algorithm. At first, the optimality criterion is presented. And then, the simulated annealing based iterative optimizing method is proposed to solve the optimal model reduction. The simulations demonstrated show the accuracy and efficiency of the proposed methodologies.
{"title":"The optimal model reduction method for spatially distributed system based on simulated annealing algorithm","authors":"Mengling Wang, H. Shi","doi":"10.1109/CSIP.2012.6308794","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6308794","url":null,"abstract":"For partial differential equation description unknown spatially distributed systems, the number of local models determines the dimension of the model. So far, there is no mature method about how to obtain the optimal region division. Usually, the local region division is related with the location of sensors. It may affect the accuracy and computational complexityH of the modeling directly. This paper presents an optimal model reduction approach for spatially distributed systems based on simulated annealing algorithm. At first, the optimality criterion is presented. And then, the simulated annealing based iterative optimizing method is proposed to solve the optimal model reduction. The simulations demonstrated show the accuracy and efficiency of the proposed methodologies.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"504 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115336543","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 : 2012-09-24DOI: 10.1109/CSIP.2012.6308935
Songchao Liu, Huailiang Tan, Lei Huang
In traditional peephole optimization, the size of the sliding window is fixed or limited, which makes it difficult to match and optimize instructions which are not lexically adjacent (logically adjacent). In this paper, a novel method for peephole optimization is proposed by using regular expression. The new way does not set the size of the sliding window and can easily identify instructions which are not lexically adjacent. The experimental results show that the new way improves the optimization capability of the cross-assembler.
{"title":"An embedded cross-assembler optimization method","authors":"Songchao Liu, Huailiang Tan, Lei Huang","doi":"10.1109/CSIP.2012.6308935","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6308935","url":null,"abstract":"In traditional peephole optimization, the size of the sliding window is fixed or limited, which makes it difficult to match and optimize instructions which are not lexically adjacent (logically adjacent). In this paper, a novel method for peephole optimization is proposed by using regular expression. The new way does not set the size of the sliding window and can easily identify instructions which are not lexically adjacent. The experimental results show that the new way improves the optimization capability of the cross-assembler.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122308955","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}
The parameters for subband enhancement in the existing multi-scale image enhancement methods need to be determined according to specific images. To improve their adaptability and universality, an infrared image enhancement method based on contourlet transform and chaotic particle swarm optimization (PSO) is proposed. The low frequency subband after contourlet transform is adaptively enhanced by a method based on local mean and standard deviation, which improves the overall contrast of image. The high frequency subbands are enhanced by a general nonlinear gain function, which improve the local contrast of weak details. The chaotic particle swarm optimization is used to search the optimal parameters during the above-mentioned low and high frequency subband enhancement. Experiments with qualitative and quantitative evaluation are carried out for a large number of images, and the proposed method is compared with histogram double equalization method, second-generation wavelet transform method, stationary wavelet transform method and curvelet transform method. Experimental results show that the proposed method can enhance image details and suppress noise better, and the whole visual effect is improved significantly.
{"title":"Infrared image enhancement based on contourlet transform and chaotic particle swarm optimization","authors":"Zhang Xiaojie, Wu Yiquan, Wu Shihua, Zhang Yufei, Yu Sufen, Zhang Shengwei","doi":"10.1109/CSIP.2012.6308863","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6308863","url":null,"abstract":"The parameters for subband enhancement in the existing multi-scale image enhancement methods need to be determined according to specific images. To improve their adaptability and universality, an infrared image enhancement method based on contourlet transform and chaotic particle swarm optimization (PSO) is proposed. The low frequency subband after contourlet transform is adaptively enhanced by a method based on local mean and standard deviation, which improves the overall contrast of image. The high frequency subbands are enhanced by a general nonlinear gain function, which improve the local contrast of weak details. The chaotic particle swarm optimization is used to search the optimal parameters during the above-mentioned low and high frequency subband enhancement. Experiments with qualitative and quantitative evaluation are carried out for a large number of images, and the proposed method is compared with histogram double equalization method, second-generation wavelet transform method, stationary wavelet transform method and curvelet transform method. Experimental results show that the proposed method can enhance image details and suppress noise better, and the whole visual effect is improved significantly.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122402721","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 : 2012-09-24DOI: 10.1109/CSIP.2012.6308954
H. Ma, N. Cai
This paper reviews some of the most important and early works on stability of swarm systems or dynamical multiagent systems, providing a quick introduction to swarm stability, as well as application in rural-urban migration analysis.
{"title":"Swarm stability analysis of dynamical multi-agent systems and applications in rural-urban migration: Literature overview","authors":"H. Ma, N. Cai","doi":"10.1109/CSIP.2012.6308954","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6308954","url":null,"abstract":"This paper reviews some of the most important and early works on stability of swarm systems or dynamical multiagent systems, providing a quick introduction to swarm stability, as well as application in rural-urban migration analysis.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114474017","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 : 2012-09-24DOI: 10.1109/CSIP.2012.6309115
Bin Zhang, Xiaofeng Hu, J. Yin, Xiaozhi Guo, Li Ma, Zhihua Cao
According with the perspective of COG, presents a SoS COG Analysis method to solve the problem of large scale SoS capability analysis. This method contains four sub-procedure: preparation of SoS Knowledge Preparation(SKP), SoS Formalize Description(SFD), SoS Reduction(SR) and SoS COG and CV confirming(Conf). At last, give out a rudimental experiment about COG Analysis of combat SoS.
{"title":"COG modeling and analysis of large scale SoS","authors":"Bin Zhang, Xiaofeng Hu, J. Yin, Xiaozhi Guo, Li Ma, Zhihua Cao","doi":"10.1109/CSIP.2012.6309115","DOIUrl":"https://doi.org/10.1109/CSIP.2012.6309115","url":null,"abstract":"According with the perspective of COG, presents a SoS COG Analysis method to solve the problem of large scale SoS capability analysis. This method contains four sub-procedure: preparation of SoS Knowledge Preparation(SKP), SoS Formalize Description(SFD), SoS Reduction(SR) and SoS COG and CV confirming(Conf). At last, give out a rudimental experiment about COG Analysis of combat SoS.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128238735","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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