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作者： Ngcobo, Mduduzi E.K. Delele, Mulugeta A. Opara, Umezuruike Linus Zietsman, Cobus J. Meyer, Chris J. Department of Horticultural Science Faculty of AgriSciences University of Stellenbosch Private Bag X1 Matieland 7602 South Africa Department of Mechanical and Mechatronics Engineering Faculty of Engineering University of Stellenbosch Private Bag X1 Matieland 7602 South Africa Perishable Products Export Control Board 45 Silwerboom Avenue Platterkloof Parow 7500 South Africa

Postharvest handling of table grape is commonly carried out using multi-scale packages comprised of the main container, inner liner film and pouches holding individual bunch of berries. Total pressure drop through different table grapes packages systems were measured and the percentage contributions of each package component and the fruit bulk were determined. The liner films contributed significantly to total pressure drop for all package combinations, ranging from 40.33 ± 1.15% for micro-perforated liner film to 83.34 ± 2.13% for non-perforated liner film. The total pressure drop through the grape bulk (1.40 ± 0.01% to 9.41 ± 1.23%) was the least compared to the different packaging combinations with different levels of liner perforation. © 2011 Elsevier Ltd and IIR.

关键词： Pressure drop

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An operational algorithm for satellite attitude determination from GPS carrier phase

An operational algorithm for satellite attitude determinatio...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： C. Tatiyaworanun S. Purivigraipong Department of Control and Instrumentation and Mechatronics Engineering Mahanakorn University of Technology Bangkok Thailand Centre for Electronic System Design and Signal Processing Department of Electronic Engineering Mahanakorn University of Technology Bangkok Thailand

This paper presents an operational approach for determining satellite attitude from carrier phase GPS (Global Positioning System) measurements. A conventional recursive least square (RLS) estimator was implemented without requiring spacecraft dynamics. The proposed approach can be applicable for general space missions, particularly for real-time operation onboard-spacecraft. The attitude angles and electrical path difference (line bias) between antenna chains caused an offset error in GPS observables, can be estimated. The implemented estimator was tested with a simulated data, and the flight data collected onboard a mini-satellite orbiting in low Earth orbit.

关键词： Global Positioning System Position measurement Space vehicles Vectors Satellites Extraterrestrial measurements Antenna measurements

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Development of fuzzy logic water bath temperature controller using MATLAB

Development of fuzzy logic water bath temperature controller...

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2012 IEEE International Conference on control System, Computing and engineering, ICCSCE 2012

作者： Hasim, Norhaslinda Aras, Mohd Shahrieel Mohd Rashid, Mohd Zamzuri Ab Kassim, Anuar Mohamed Abdullah, Shahrum Shah Department of Control and Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia Department of Mechatronics Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia Department of Electric and Electronics Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia

ISBN: (纸本)9781467331432

In this paper, the development of a water bath temperature system to control the liquid's temperature in the water bath will be presented. In order to develop the water bath temperature control system, MATLAB fuzzy logic toolbox will be utilized. The Fuzzy Logic controller (FLC) is designed to control water temperature based on the input acquired from the thermal transducer sensor. The inference engines that are used are;Max-min (Mamdani) method and centre of gravity technique for defuzzification. The 4 × 4 matrix rules for the controller will be used in this project. In addition, the USB NI-DAQ card will be used as xPC target to link the MATLAB software and real time application. The real time output temperature is validated based on the simulation's temperature which is initially set by user. It can be concluded the performance of real time study is in par with the simulation result. © 2012 IEEE.

关键词： MATLAB

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Online subspace identification methods for MIMO model

Online subspace identification methods for MIMO model

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IEEE Conference on control, Systems & Industrial Informatics (ICCSII)

作者： I. W. Jamaludin N. A. Wahab M. F. Rahmat S. Sahlan Department of Mechatronics Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Malaysia Control and Instrumentation Department Faculty of Electrical Engineering Universiti Teknologi Malaysia Malaysia Universiti Teknologi Malaysia Skudai Johor MY

Subspace model identification (SMI) has been a highly interest of research topic in recent years. Subspace methods such as Multivariable Output Error State Space (MOESP) and Numerical algorithms for Subspace State Space System Identification (N4SID) algorithms are well known and often implemented especially for multivariable identification due to the use of robust numerical tools such as the QR decomposition and singular value decomposition (SVD). SMI algorithms are attractive not only because of their numerical stability and simplicity, but also for the state space form that is very suitable in estimating, predicting, filtering and control design. Several simulation studies for MOESP and N4SID algorithms performed in online version are presented. This paper focuses on computation time, order selection and the stability from both methods when performed online.

关键词： Matrix decomposition Numerical models Fitting Integrated circuits MATLAB

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Wick Sintered Temperature Forecasting Based on Support Vector Machines with Simulated Annealing

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Physics Procedia 2012年 25卷 427-434页

作者： Zeng Dehuai Liu Yuan Jiang Lianbo Li Li Xu Gang College of Mechatronics and Control Engineering Shenzhen University Shenzhen 518060 School of mechanical and automotive engineering South China University of Technology Guangzhou 510640 Key Laboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Higher Education Institutes Shenzhen University Shenzhen 518060 China

The law of sintering temperature’ changing during resistance furnace sintering is the very important technology information. Support vector machines (SVMs) have been successfully employed to solve nonlinear regression and time series problems. In order to improve time efficiency of prediction, a new sintered furnace temperature law prediction model and method based on SVM in this paper. Moreover, simulated annealing (SA) algorithms were employed to choose the hyperparameters of a SVM model. A comparison of the performance between SVM optimized by Particle Swarm Optimization (SVM-PSO) and SVM-SA is carried out. Experiments results demonstrate that SVM-SA can achieve better accuracy and generalization than the SVM-PSO. Consequently, the SVM-SA model provides a promising alternative for sintered furnace temperature law.

关键词： support vector regression simulated annealing sintered temperature forecasting

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Design Optimization of Cutting Parameters for Phase-change heat Sink P-E forming Based on Orthogonal Experiment

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Energy Procedia 2012年 17卷 1979-1984页

In this study, the Taguchi method, a powerful tool to design optimization for quality, is used to find the optimal cutting parameters for turning operations. An orthogonal array, the signal-to-noise (S/N) ratio, is employed to investigate the cutting characteristics of red copper tube using high speed steel W18Cr4 V cutting tools. Three cutting parameters namely, cutting speed, feed rate, and depth of cut, are optimized with considerations of micro groove fin quality. The experimental results show that best micro groove quality can be obtained by selecting the appropriate cutting parameters for the inner red copper tube. The experimental results also show that there is a definite significance to guide how to choose cutting parameters for P-E forming.

关键词： Taguchi method cutting parameters optimization P-E forming micro groove

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control system simulation for endoscopie surgical manipulator based on virtual chain approach

Control system simulation for endoscopie surgical manipulato...

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International Conference on Innovative engineering Systems (ICIES)

作者： Khalil Ibrahim Ahmed Ramadan Mohamed Farmi Yo Kobayashi Ahmed Abo-Ismail Masakatus G. Fujie Mechatronics and robotics Engineering Egypt-Japan University of Science and Technology Alexandria Egypt Computers and Automatic Control Engineering Dep Tanta University Tanta Egypt Mansoura University Mansoura EG The faculty of Science and Engineering Waseda University Tokyo Japan

This paper deals with the design process and the dynamic control simulation of a new type of 4-DOFs parallel mechanism that can be used as an endoscopie surgical manipulator. The proposed mechanism, 2-PUU 2PUS, is designed based on the screw theory and the parallel virtual chain type synthesis method. Based on the structure analysis of the 4-DOF parallel mechanism, the inverse position equation is studied using the inverse analysis theory of kinematics. The design and the stress analysis of the mechanism are investigated using SolidWorks software. The virtual prototype of the parallel mechanism is constructed, and the dynamic simulation is performed using ADAMS™ software. The system model utilizing PID and PI controllers has been built using MATLAB software. A more realistic simulation in accordance with a given bending angle and point to point control is implemented by the use of both ADAMS/MATLAB software. The simulation results showed that this control method has solved the coordinate control for the 4-DOF parallel manipulator so that each output is feedback to the four driving rods. From the results, the tracking performance is achieved. Other control techniques, such as intelligent ones, are recommended to improve the tracking performance and reduce the numerical truncation error.

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Analysis and Prediction of Thermal Resistance for High Power LED Using GA-SVR

Analysis and Prediction of Thermal Resistance for High Power...

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2012 International Conference on Smart Technologies for Materials and Communication(ICSTMC 2012)

作者： Zeng Dehuai Liu Yuan Li Li Yu Degui Xu Gang College of Mechatronics and Control Engineering Shenzhen University School of mechanical and automotive engineering South China University of Technology Key Laboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Higher Education Institutes Shenzhen University

With the development of high power LED technology, junction temperature as a key factor constrains the performance and the service life of LED, and the main parameter of junction temperature is thermal resistance. Therefore, how to measure the thermal resistance of high power LED quickly and accurately plays an important part in improving the performance and the service life of LED. In this paper the accurate and fast measurement equipment was applied to study the thermal characteristics of high power LED. The forward-voltage based method was conducted to measure the junction temperature of high power. Then, support vector regression(SVR) combined with genetic algorithm(GA) for its parameter optimization, was proposed to establish a model to predict the thermal resistance of high power LED. The prediction performance of GA-SVR was compared with those of BPNN model. The result demonstrated that the estimated errors GA-SVR models, such as Mean Absolute Relative Error(MARE) and Root Mean Squared Errors(RMSE), all are smaller than those achieved by the BPNN applying identical samples.

关键词： High power LED Junction temperature Thermal resistance SVR

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A New Approach to Cutting Temperature Prediction Using Support Vector Regression and Ant Colony Optimization

A New Approach to Cutting Temperature Prediction Using Suppo...

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2012 International Conference on Smart Technologies for Materials and Communication(ICSTMC 2012)

作者： Zeng Dehuai Liu Yuan Jiang Lianbo Li Li Xu Gang College of Mechatronics and Control Engineering Shenzhen University School of mechanical and automotive engineering South China University of Technology Key Laboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Higher Education Institutes Shenzhen University

In this paper, support vector regression with ant colony optimization is presented for the prediction of tool-chip interface temperature depends on cutting parameters in machining. Ant colony(ACO) optimization was developed to optimize three parameters of SVR, including penalty parameter C, insensitive loss function ε and kernel function σ. SVR constructs hyperplane in high dimension space and fits the data in non-linear form. Normalized mean square error(NMSE) of fitting result is used as target of ant colony optimization. ACO finds the best parameters which correspond to the NMSE. The results showed that the proposed approach, by comparing with back-propagation neural network model, was an efficient way to model tool–chip interface temperature with good predictive accuracy.

关键词： Temperature prediction Support vector regression Ant colony algorithm Machining

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Wick Sintered Temperature Forecasting Based on Support Vector Machines with Simulated Annealing

Wick Sintered Temperature Forecasting Based on Support Vecto...

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2012 International Conference on Solid State Devices and Materials Science(SSDMS 2012)

The law of sintering temperature' changing during resistance furnace sintering is the very important technology information. Support vector machines(SVMs) have been successfully employed to solve nonlinear regression and time series problems. In order to improve time efficiency of prediction, a new sintered furnace temperature law prediction model and method based on SVM in this paper. Moreover, simulated annealing(SA) algorithms were employed to choose the hyperparameters of a SVM model. A comparison of the performance between SVM optimized by Particle Swarm Optimization(SVM-PSO) and SVM-SA is carried out. Experiments results demonstrate that SVM-SA can achieve better accuracy and generalization than the SVM-PSO. Consequently, the SVM-SA model provides a promising alternative for sintered furnace temperature law.

关键词： support vector regression simulated annealing sintered temperature forecasting

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