According to the requirements of flood control and drought relief and water resources utilization and management, annual runoff of Yanghe reservoir in Qinhuangdao city is forecasted based on gray dynamic model modeled, analysed and summarized. The comparative and analyzing results between calculation results and actual data prove that the model prediction accuracy is good in line with the actual situation. As the gray dynamic model has the characteristics of model structure simple, short sequence of hydrologic data need, calculate amount small and prediction accuracy high, it provides a new method to watersheds and regions who do not have a long sequence data.
{"title":"Application Research on Hydrological Forecasting Based on Grey Prediction Model","authors":"Liu Changying, Huang Huagui, Shi Jinshan","doi":"10.1109/ICIC.2010.80","DOIUrl":"https://doi.org/10.1109/ICIC.2010.80","url":null,"abstract":"According to the requirements of flood control and drought relief and water resources utilization and management, annual runoff of Yanghe reservoir in Qinhuangdao city is forecasted based on gray dynamic model modeled, analysed and summarized. The comparative and analyzing results between calculation results and actual data prove that the model prediction accuracy is good in line with the actual situation. As the gray dynamic model has the characteristics of model structure simple, short sequence of hydrologic data need, calculate amount small and prediction accuracy high, it provides a new method to watersheds and regions who do not have a long sequence data.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"76 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112839","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}
Abstract-In the fierce market competition, credit as a tactic commonly found in the supply chain. It can stimulate the market demand, but it also brings the opportunity cost of funds. Using supply chain contract model of wholesale contracts, researching the contract parameters in the condition with only the suppliers to provide retailers with credit and only the retailers provide the account sales to the customers. Found to meet certain conditions, the two situations will improve overall supply chain performance. The first case is relying on funds from low-income to high-yielding nodes mobile nodes to upgrade performance. The second case is relying on credit to stimulate demand, and opportunity cost control in a certain range and performance improvement was taken.
{"title":"Wholesale-price Contract Model of Supply Chain with Credit Sale","authors":"K. Hu, Xiao-qing Gan","doi":"10.1109/ICIC.2010.179","DOIUrl":"https://doi.org/10.1109/ICIC.2010.179","url":null,"abstract":"Abstract-In the fierce market competition, credit as a tactic commonly found in the supply chain. It can stimulate the market demand, but it also brings the opportunity cost of funds. Using supply chain contract model of wholesale contracts, researching the contract parameters in the condition with only the suppliers to provide retailers with credit and only the retailers provide the account sales to the customers. Found to meet certain conditions, the two situations will improve overall supply chain performance. The first case is relying on funds from low-income to high-yielding nodes mobile nodes to upgrade performance. The second case is relying on credit to stimulate demand, and opportunity cost control in a certain range and performance improvement was taken.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115360115","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 in the slope system are uncertainly and random due to the slpoe complexity, a series of chaos can be appeared in the course of the slope evolution. The Whole-region Method of chaotic time series is presented for predicting the slope deformation based on the Chaotic Theory. The construction of prediction model and the process of application are discussed in detailed, further the method is used to analyze the deformation of Xintan landslide. The research results indicates that this prediction method can get better result than conventional time series method
{"title":"The Whole-region Method of Chaotic Time Series for Slope Deformation Prediction","authors":"Zhiquan Huang, Sha Ma, Han-Dong Liu","doi":"10.1109/ICIC.2010.142","DOIUrl":"https://doi.org/10.1109/ICIC.2010.142","url":null,"abstract":"The parameters in the slope system are uncertainly and random due to the slpoe complexity, a series of chaos can be appeared in the course of the slope evolution. The Whole-region Method of chaotic time series is presented for predicting the slope deformation based on the Chaotic Theory. The construction of prediction model and the process of application are discussed in detailed, further the method is used to analyze the deformation of Xintan landslide. The research results indicates that this prediction method can get better result than conventional time series method","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115769486","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}
A simplified rail gun model is established and three dimensional finite element method of electromagnetic (EM) field is used to analyze the model parameters. The parameters include: inductance gradient, resistance gradient, magnetic induction intensity, magnetic force etc. The simulation result indicates that the load of rail gun may be equivalent to the nonlinear resistance, inductance and back electromotive force.
{"title":"Dynamic Analysis for Inductance Gradient of Rail Gun","authors":"Yudong Yang, Kui Jin","doi":"10.1109/ICIC.2010.105","DOIUrl":"https://doi.org/10.1109/ICIC.2010.105","url":null,"abstract":"A simplified rail gun model is established and three dimensional finite element method of electromagnetic (EM) field is used to analyze the model parameters. The parameters include: inductance gradient, resistance gradient, magnetic induction intensity, magnetic force etc. The simulation result indicates that the load of rail gun may be equivalent to the nonlinear resistance, inductance and back electromotive force.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225496","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}
According to the characteristic of auto-body inner packaging, the object-oriented case representation models of auto-body inner packaging were presented by employing the extended object model, in which the index and solution objects were appended. Knowledge of auto-body inner packaging was represented as rule and constraints, and their definitions were described with object models. The nearest neighborhood method was adopted for case retrieval. The strategies for case adaptation, integrating rule-based reasoning and constrain satisfaction, were presented to modify case solution to fit the current problem definition.
{"title":"Applying Case-Based Reasoning to Auto-body Inner Packaging","authors":"Di Li, W. Kang, P. Guo","doi":"10.1109/ICIC.2010.37","DOIUrl":"https://doi.org/10.1109/ICIC.2010.37","url":null,"abstract":"According to the characteristic of auto-body inner packaging, the object-oriented case representation models of auto-body inner packaging were presented by employing the extended object model, in which the index and solution objects were appended. Knowledge of auto-body inner packaging was represented as rule and constraints, and their definitions were described with object models. The nearest neighborhood method was adopted for case retrieval. The strategies for case adaptation, integrating rule-based reasoning and constrain satisfaction, were presented to modify case solution to fit the current problem definition.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117121201","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 chaos-dynamic time delay BP neural network model is built to realize long-term prediction of rock mass displacement of large underground grave,and fast analyze long-time stability of surrounding rock through optimized structure of BP neural network coupling with chaotic-dynamic parameters of displacement. Embedding dimension is set as the number of input layer, and predicting feedback mode of neural network is added, and prediction training samples are generated dynamically, so long-term forecasting are enabled. The relative bigger delay time is selected, then time delay between adjacent phase points is when forecasting step is, so the long-time prediction is realized by limited number of forecasting steps. The instances show that computational stability of built prediction model is preferable with faster calculating speed, and prediction precision is all within 10% when predicting step is not more than 5, and the number of forecasting displacements is not more than 10. Terefore the forecasting results are real time and effective, the long-term prediction of rock mass displacement is realized.
{"title":"Long-Term Prediction Model of Rock Mass Displacement Based on Chaotic-Dynamic Time Delay BP Neutral Network","authors":"Sha Ma, Jian-Jun Dan, S. Zhang","doi":"10.1109/ICIC.2010.141","DOIUrl":"https://doi.org/10.1109/ICIC.2010.141","url":null,"abstract":"The chaos-dynamic time delay BP neural network model is built to realize long-term prediction of rock mass displacement of large underground grave,and fast analyze long-time stability of surrounding rock through optimized structure of BP neural network coupling with chaotic-dynamic parameters of displacement. Embedding dimension is set as the number of input layer, and predicting feedback mode of neural network is added, and prediction training samples are generated dynamically, so long-term forecasting are enabled. The relative bigger delay time is selected, then time delay between adjacent phase points is when forecasting step is, so the long-time prediction is realized by limited number of forecasting steps. The instances show that computational stability of built prediction model is preferable with faster calculating speed, and prediction precision is all within 10% when predicting step is not more than 5, and the number of forecasting displacements is not more than 10. Terefore the forecasting results are real time and effective, the long-term prediction of rock mass displacement is realized.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124991121","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}
Pre-processing of the gyro signal is an effective way to improve the accuracy of the gyro. In this paper, the frequency band analysis method based on wavelet packet is used to detect the useful signal from noise which was measured at different angular velocity inputs, thus the effective frequency range gyro signal is identified. Then the gyro’s output is compensated for by wavelet packet dynamic threshold method at different sub-frequency range, thus the smooth motion characteristics of gyro could be improved, and the gyro has high precision in the overall measurement range. The results based on practical measured data show that this method can be applied in the scope of full-scale gyro error compensation, and can effectively improve the accuracy of the gyro output signal.
{"title":"Study on De-noising of Gyro Signal Based on Wavelet Packet Threshold","authors":"Lin Xue-yuan, Xue Zhi-bin, Liang Fa-Mail","doi":"10.1109/ICIC.2010.93","DOIUrl":"https://doi.org/10.1109/ICIC.2010.93","url":null,"abstract":"Pre-processing of the gyro signal is an effective way to improve the accuracy of the gyro. In this paper, the frequency band analysis method based on wavelet packet is used to detect the useful signal from noise which was measured at different angular velocity inputs, thus the effective frequency range gyro signal is identified. Then the gyro’s output is compensated for by wavelet packet dynamic threshold method at different sub-frequency range, thus the smooth motion characteristics of gyro could be improved, and the gyro has high precision in the overall measurement range. The results based on practical measured data show that this method can be applied in the scope of full-scale gyro error compensation, and can effectively improve the accuracy of the gyro output signal.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123293856","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}
This paper studied the accelerating convergence of the vector sequences generated by BP algorithm with vector epsilon algorithm, and presented the conclusion that the algorithms is not only convergent but also accelerated. Finally, we tested them for three classical artificial neural network problems. By numerical experiments, results shown that can reduce CPU time for computation and improve the learning efficiency.
{"title":"An Accelerating Method of Training Neural Networks Based on Vector Epsilon Algorithm","authors":"Jianliang Li, L. Lian, Yong Jiang","doi":"10.1109/ICIC.2010.345","DOIUrl":"https://doi.org/10.1109/ICIC.2010.345","url":null,"abstract":"This paper studied the accelerating convergence of the vector sequences generated by BP algorithm with vector epsilon algorithm, and presented the conclusion that the algorithms is not only convergent but also accelerated. Finally, we tested them for three classical artificial neural network problems. By numerical experiments, results shown that can reduce CPU time for computation and improve the learning efficiency.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123793489","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}
LG type vacuum freeze dryer vapor captor is taken as the study object, and a mathematical model of frost heat transfer of the vapor captor was established, the effective heat capacity method was used to simulate the heat transfer processes of vapor captor. Frosting mechanism under low temperature and low pressure condition was investigated, and the changing relation curves of temperature distribution, thickness and density of frost layer on vapor captor coil along with time were obtained. The results show that with the increasing of the frost thickness, the surface temperature of frost layer increase, and the heat transfer coefficient continue to fall, the rate of increase in frost thickness of late stage is faster than the early by 30.3%.
{"title":"Frosting Performance Dynamic Simulation and Analysis of Freeze Dryer Vapor Captor","authors":"Xiao-yan Li, Ji-Yin Zhu","doi":"10.1109/ICIC.2010.287","DOIUrl":"https://doi.org/10.1109/ICIC.2010.287","url":null,"abstract":"LG type vacuum freeze dryer vapor captor is taken as the study object, and a mathematical model of frost heat transfer of the vapor captor was established, the effective heat capacity method was used to simulate the heat transfer processes of vapor captor. Frosting mechanism under low temperature and low pressure condition was investigated, and the changing relation curves of temperature distribution, thickness and density of frost layer on vapor captor coil along with time were obtained. The results show that with the increasing of the frost thickness, the surface temperature of frost layer increase, and the heat transfer coefficient continue to fall, the rate of increase in frost thickness of late stage is faster than the early by 30.3%.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115338408","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}
In order to suppress the installation errors of photoelectric payload and increase the precision of target location using photoelectric payload equipped on the aerial mobile platform, a new method of calibrating fixing errors dynamically is proposed based on quasi-linear model. The method analyzes the relationship between measurement data and true value and comes to a quasi-linear conclusion between them under some conditions. The new method is used to real-time dynamically calibrating installation errors of photoelectric payload, which improves the precision of target location effectively. Both the simulation and the experiment prove the validity of the method. It is easy to calculate and be put into practice. Furthermore, the new method could meet the real-time need and is of high value to application.
{"title":"Installation Error Dynamic Correction Based on Quasi-Linear Model","authors":"Liang Huang, Zhong Liu, Jianqiang Zhang","doi":"10.1109/ICIC.2010.297","DOIUrl":"https://doi.org/10.1109/ICIC.2010.297","url":null,"abstract":"In order to suppress the installation errors of photoelectric payload and increase the precision of target location using photoelectric payload equipped on the aerial mobile platform, a new method of calibrating fixing errors dynamically is proposed based on quasi-linear model. The method analyzes the relationship between measurement data and true value and comes to a quasi-linear conclusion between them under some conditions. The new method is used to real-time dynamically calibrating installation errors of photoelectric payload, which improves the precision of target location effectively. Both the simulation and the experiment prove the validity of the method. It is easy to calculate and be put into practice. Furthermore, the new method could meet the real-time need and is of high value to application.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115562346","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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