The fluorescence spectra of the solutions of industrial color Sudan IV are measured experimentally, excited by 345nm light. A wavelet transformation-radial basis function neural network is established, using the spectral data, to determine the concentrations of the Sudan IV solutions. The relative error turns out to be 0.73%. Meanwhile, the spectra of six synthetic food colors Ponceau 4R, Amaranth, Allura Red, Acid Red, Erythrosine and New Red are measured, and the wavelength of excitation light is 310nm. Another wavelet transformation-radial basis function neural network is established to identify the seven red colors mentioned above. It is shown that this method, which combines the advantages of both fluorescence spectrometry and artificial neural network, can realize accurate determination of Sudan IV and identification of industrial colors and synthetic food colors.
{"title":"Determination and Identification of Sudan IV Using Fluorescence Spectrometry and Artificial Neural Networks","authors":"Guo-qing Chen, Chaoqun Ma, Yamin Wu, Hui-juan Liu, Shu-mei Gao, Tuo Zhu","doi":"10.1109/ICIC.2011.51","DOIUrl":"https://doi.org/10.1109/ICIC.2011.51","url":null,"abstract":"The fluorescence spectra of the solutions of industrial color Sudan IV are measured experimentally, excited by 345nm light. A wavelet transformation-radial basis function neural network is established, using the spectral data, to determine the concentrations of the Sudan IV solutions. The relative error turns out to be 0.73%. Meanwhile, the spectra of six synthetic food colors Ponceau 4R, Amaranth, Allura Red, Acid Red, Erythrosine and New Red are measured, and the wavelength of excitation light is 310nm. Another wavelet transformation-radial basis function neural network is established to identify the seven red colors mentioned above. It is shown that this method, which combines the advantages of both fluorescence spectrometry and artificial neural network, can realize accurate determination of Sudan IV and identification of industrial colors and synthetic food colors.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81685133","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}
Optimal manipulation method is a subject, which researches how to minimize the fuel consumption of the diesel locomotive only by changing the driver's operation under the current environmental condition of train operation. the influences of different operation methods on distance, time and fuel consumption are discussed in this paper by using DF7G diesel locomotive as an example. The distance, time and fuel consumption of train operation process was simulated, and an evaluation system of diesel locomotive manipulation optimization was built. finally, optimized operation methods for different operating conditions are proposed in this paper.
{"title":"The Optimal Operation Method Based on the Model of DF7G Diesel Locomotive","authors":"Shuqiang Su, Nanlin Tan","doi":"10.1109/ICIC.2011.149","DOIUrl":"https://doi.org/10.1109/ICIC.2011.149","url":null,"abstract":"Optimal manipulation method is a subject, which researches how to minimize the fuel consumption of the diesel locomotive only by changing the driver's operation under the current environmental condition of train operation. the influences of different operation methods on distance, time and fuel consumption are discussed in this paper by using DF7G diesel locomotive as an example. The distance, time and fuel consumption of train operation process was simulated, and an evaluation system of diesel locomotive manipulation optimization was built. finally, optimized operation methods for different operating conditions are proposed in this paper.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74767982","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 consider finite element methods applied to a class of quasi-hyperbolic integro-differential equations. Global strong super convergence, which only requires that partitions are quasi-uniform, is investigated for the error between the approximate solution and the Sobolev-Volterra projection of the exact solution. We employ a special method for initial value selection to study super convergence of the error. Two order super convergence results are demonstrated.
{"title":"Superconvergence of Finite Element Methods for Linear Quasi-hyperbolic Integro-differential Equations","authors":"W. Shen","doi":"10.1109/ICIC.2011.120","DOIUrl":"https://doi.org/10.1109/ICIC.2011.120","url":null,"abstract":"We consider finite element methods applied to a class of quasi-hyperbolic integro-differential equations. Global strong super convergence, which only requires that partitions are quasi-uniform, is investigated for the error between the approximate solution and the Sobolev-Volterra projection of the exact solution. We employ a special method for initial value selection to study super convergence of the error. Two order super convergence results are demonstrated.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87922752","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 neutral network further development is restricted in the system to some extent. The 3 layers RBF neutral network has the ability that self-study and self-remember, but sometimes because of serious multi-correlation between the variables, and a few observations while many variables, there usually will result into paralyzing in study. The partial least square regression has its advantage of building the calculation model between the variables with strong multi-correlation, especially much effective on a few data and many variables. So a new and effective method-improved neutral network has been introduced. The neutral network based on the partial least square regression. The results of example show the improved method has a few calculations and high accuracy, and provide a new way for valuing the rock mass strength parameters. Its network has been applied extensively.
{"title":"Optimezed Rock Mass Strength Parameter via PLS-RBF Neutral Network","authors":"Sha Ma, Binglin Li","doi":"10.1109/ICIC.2011.89","DOIUrl":"https://doi.org/10.1109/ICIC.2011.89","url":null,"abstract":"The neutral network further development is restricted in the system to some extent. The 3 layers RBF neutral network has the ability that self-study and self-remember, but sometimes because of serious multi-correlation between the variables, and a few observations while many variables, there usually will result into paralyzing in study. The partial least square regression has its advantage of building the calculation model between the variables with strong multi-correlation, especially much effective on a few data and many variables. So a new and effective method-improved neutral network has been introduced. The neutral network based on the partial least square regression. The results of example show the improved method has a few calculations and high accuracy, and provide a new way for valuing the rock mass strength parameters. Its network has been applied extensively.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87999920","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 B spline function is widely applied for the data processing, such as computer graphics, artificial intelligence and other enginging. In this paper, by using the B spline basic function, an explicit form of 3-order C-B spline basic function is presented based on integral recurrence formula of the C-B spline basic. And an improved algorithm is given for surface fitting combined with least squares theory. The numerical examples indicated that in the case of consistently accuracy, the improved C-B spline fitting algorithm can save as 70% computing time as the B spline fit algorithm at least.
{"title":"An Improved Algorithm for Surface Fitting Based on B Spline Function","authors":"Zhan Wang, Jun Yu, Bida Su, Xiaodan Xie","doi":"10.1109/ICIC.2011.35","DOIUrl":"https://doi.org/10.1109/ICIC.2011.35","url":null,"abstract":"The B spline function is widely applied for the data processing, such as computer graphics, artificial intelligence and other enginging. In this paper, by using the B spline basic function, an explicit form of 3-order C-B spline basic function is presented based on integral recurrence formula of the C-B spline basic. And an improved algorithm is given for surface fitting combined with least squares theory. The numerical examples indicated that in the case of consistently accuracy, the improved C-B spline fitting algorithm can save as 70% computing time as the B spline fit algorithm at least.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90542805","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 total hip replacement (THR) is the best method to solve hip joint intensive illness in the world. The hip and knee joint are the most important parts in the lower-limb system. The kinetic characteristics, including joint motion curve and joint velocity, acceleration, angle velocity and angle acceleration, are the basilic parameters to estimate body in or out of condition and evaluate the operation and recuperation state. In this paper, the lower-limb bio-mechanics characteristics, health and THR connor, is gotten from the experiment. Health connor has the smaller kinematics parameters than implanted connor under several movements.
{"title":"The Lower-Limb Bio-mechanics Characteristics Influence by Total Hip Replacement","authors":"Haibo Jiang","doi":"10.1109/ICIC.2011.131","DOIUrl":"https://doi.org/10.1109/ICIC.2011.131","url":null,"abstract":"The total hip replacement (THR) is the best method to solve hip joint intensive illness in the world. The hip and knee joint are the most important parts in the lower-limb system. The kinetic characteristics, including joint motion curve and joint velocity, acceleration, angle velocity and angle acceleration, are the basilic parameters to estimate body in or out of condition and evaluate the operation and recuperation state. In this paper, the lower-limb bio-mechanics characteristics, health and THR connor, is gotten from the experiment. Health connor has the smaller kinematics parameters than implanted connor under several movements.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91503024","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 concerns with the problem of solving non-linear equation. It is shown that solving non-linear equation is equivalent to the evaluation extremum of funtion. In terms of unconstrained optimization using steepest descent method, we propose an algorithm for solving non-linear equation. It is shown that the proposed algorithm has the same convergence rate as the secant method. Several numerical experiments are also provided to demonstrate the effect of the proposed algorithm.
{"title":"Solving Non-linear Equation Based on Steepest Descent Method","authors":"Tianyou Zhang","doi":"10.1109/ICIC.2011.107","DOIUrl":"https://doi.org/10.1109/ICIC.2011.107","url":null,"abstract":"This paper concerns with the problem of solving non-linear equation. It is shown that solving non-linear equation is equivalent to the evaluation extremum of funtion. In terms of unconstrained optimization using steepest descent method, we propose an algorithm for solving non-linear equation. It is shown that the proposed algorithm has the same convergence rate as the secant method. Several numerical experiments are also provided to demonstrate the effect of the proposed algorithm.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84614168","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}
Aimed at the demand of reducing the wiring harness and declining cost in the automobile control system, electrical controlling system of automobile power window is designed with the PIC18F258, integrated with CAN bus, as the core, hardware structure and flow chart of software are presented. Through the processing of time and sample current, it can be judged whether the automobile window meets a barrier or not to realize the anti-pinch function of window. Compared to the point-to-point control, the bus control not only reduces the wiring harness and cost, but also makes the control more flexible and fast. The experiment results show this system can operate normally, the advantages of this system are reliable performance, low-cost, low power consumption and easy to maintain.
{"title":"A Low Cost Anti-Pinch Control System for Electrical Window","authors":"Yi Wang, Yun Qiu","doi":"10.1109/ICIC.2011.21","DOIUrl":"https://doi.org/10.1109/ICIC.2011.21","url":null,"abstract":"Aimed at the demand of reducing the wiring harness and declining cost in the automobile control system, electrical controlling system of automobile power window is designed with the PIC18F258, integrated with CAN bus, as the core, hardware structure and flow chart of software are presented. Through the processing of time and sample current, it can be judged whether the automobile window meets a barrier or not to realize the anti-pinch function of window. Compared to the point-to-point control, the bus control not only reduces the wiring harness and cost, but also makes the control more flexible and fast. The experiment results show this system can operate normally, the advantages of this system are reliable performance, low-cost, low power consumption and easy to maintain.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83297659","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 GPS navigation positioning, the concept of measurement error is inevitable, and influencing the positioning accuracy of GPS and the integrated navigation. Therefore, this article focuses on the GPS output method for eliminating gross errors, and highlighted the three methods, namely, the gross error eliminated algorithm based on HDOP, the gross error eliminated algorithm based on speed detection and GPS gross errors processing based on HDOP and speed detection, and ends with measured data, as an example and then verifies the validity of these three methods.
{"title":"Research on the Method of Eliminating Gross Error of GPS Output Information","authors":"X. Lin, Lei Liu, Hui-Zi Luo","doi":"10.1109/ICIC.2011.103","DOIUrl":"https://doi.org/10.1109/ICIC.2011.103","url":null,"abstract":"In GPS navigation positioning, the concept of measurement error is inevitable, and influencing the positioning accuracy of GPS and the integrated navigation. Therefore, this article focuses on the GPS output method for eliminating gross errors, and highlighted the three methods, namely, the gross error eliminated algorithm based on HDOP, the gross error eliminated algorithm based on speed detection and GPS gross errors processing based on HDOP and speed detection, and ends with measured data, as an example and then verifies the validity of these three methods.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72808718","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}
Diesel engine is the source of power for the entire transmission system, it is used mostly step control, the engine gear position and speed is a one-to-one correspondence, regard the diesel engine's speed as the engine's control the amount of input, the different position of the internal combustion engine gear will cause it to run at different speeds. Establishment of the relationship between the locomotive diesel engine speed and the locomotive speed is of great significance to predict the speed of the locomotive and guide the driver the rational manipulation. In this paper, DF7G diesel locomotive will be the object of study, and we will study how to build the transmission system model of the diesel locomotives.
{"title":"Study of the Modeling Method of Diesel Locomotive's Transmission System Based on System Identification","authors":"Shuqiang Su, Nanlin Tan","doi":"10.1109/ICIC.2011.14","DOIUrl":"https://doi.org/10.1109/ICIC.2011.14","url":null,"abstract":"Diesel engine is the source of power for the entire transmission system, it is used mostly step control, the engine gear position and speed is a one-to-one correspondence, regard the diesel engine's speed as the engine's control the amount of input, the different position of the internal combustion engine gear will cause it to run at different speeds. Establishment of the relationship between the locomotive diesel engine speed and the locomotive speed is of great significance to predict the speed of the locomotive and guide the driver the rational manipulation. In this paper, DF7G diesel locomotive will be the object of study, and we will study how to build the transmission system model of the diesel locomotives.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88814529","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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