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An Overview on the Applications of Typical non-linear algorithms Coupled With NIR Spectroscopy in Food Analysis

FOOD ENGINEERING REVIEWS 2020年第2期12卷 173-190页

作者： Zareef, Muhammad Chen, Quansheng Hassan, Md Mehedi Arslan, Muhammad Hashim, Malik Muhammad Ahmad, Waqas Kutsanedzie, Felix Y. H. Agyekum, Akwasi A. Jiangsu Univ Sch Food & Biol Engn Xuefu Rd 301 Zhenjiang 213013 Jiangsu Peoples R China Gomal Univ Dept Food Sci & Technol Dera Ismail Khan Pakistan

Near-infrared (NIR) spectroscopy as a low-cost technique with its non-destructive fast nature, precision, control, accuracy, repeatability, and reproducibility has been extensively employed in most industries for food quality measurements. Its coupling to different modeling techniques has been identified as a way of improving the accuracy and robustness of non-destructive measurement of foodstuffs. This review provides an overview of the application of non-linear algorithms in food quality and safety specific to NIR spectroscopy. The review also provides in-depth knowledge about the principle of NIR spectroscopy along with different non-linear models such as artificial neural network (ANN), AdaBoost, local algorithm (LA), support vector machine (SVM), and extreme learning machine (ELM). Moreover, non-linear algorithms coupled with NIR spectroscopy for ensuring food quality and their future perspective has been discussed.

关键词： non-linear algorithm NIR spectroscopy non-linear applications BP-ANN AdaBoost

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On the Eco-driving Trajectory for Tramway System 14th

On the Eco-driving Trajectory for Tramway System

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14th International-Federation-of-Automatic-Control (IFAC) Symposium on Analysis, Design, and Evaluation of Human Machine Systems (HMS)

作者： Enjalbert, Simon Boukal, Yassine Univ Polytech Hauts France CNRS UMR 8201 LAMIH F-59313 Valenciennes France

In this work, the problem of reduction of energy consumption based on calculated speed, called eco-driving trajectory for tramway system is investigated, where some constraints on the states, control input and travel time are considered. Thanks to the operating speed range of the tramway, the non-linear model of the system can be approximated by linear one and is given in a state space distance based formulation. The problem studied in this work is to determine the speed profile that minimizes the cost function defined as the energy consumption. Firstly, the constrained optimization problem is formulated as Kuhn-Tucker conditions, which is the general form of the Pontryagin maximum principle, that yield to a local minimum. Then, the control strategy that ensure the efficient consumption for the tramway system is deduced based on the optimal control approach. This leads to the well known driving trajectory for the railway system, which is divided into four phases: acceleration, speed holding, coasting, and braking. On the other hand, the energy consumption analysis allows us to write the cost function as a sum of the kinetic energy to move the train and the resistance forces, by taking into account the gradient and limitations. Based on this analysis,the necessary condition for a is obtained. That ensure method is used to find energy-efficient driving trains. In this paper, we show how to calculate the critical switching points for an optimal strategy non-linear programming algorithm is used to solve the optimal control problem. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.

关键词： Optimal control problem Minimization of energy consumption non-linear algorithm Tramway system Human Machine Systems

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On the Eco-driving Trajectory for Tramway System

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IFAC-PapersOnLine 2019年第19期52卷 115-120页

作者： Simon Enjalbert Yassine Boukal Univ. Polytechnique Hauts-de-France CNRS UMR 8201 - LAMIH F-59313 Valenciennes France

In this work, the problem of reduction of energy consumption based on calculated speed, called eco-driving trajectory for tramway system is investigated, where some constraints on the states, control input and travel time are considered. Thanks to the operating speed range of the tramway, the non-linear model of the system can be approximated by linear one and is given in a state space distance based formulation. The problem studied in this work is to determine the speed profile that minimizes the cost function defined as the energy consumption. Firstly, the constrained optimization problem is formulated as Kuhn-Tucker conditions, which is the general form of the Pontryagin maximum principle, that yield to a local minimum. Then, the control strategy that ensure the efficient consumption for the tramway system is deduced based on the optimal control approach. This leads to the well known driving trajectory for the railway system, which is divided into four phases: acceleration, speed holding, coasting, and braking. On the other hand, the energy consumption analysis allows us to write the cost function as a sum of the kinetic energy to move the train and the resistance forces, by taking into account the gradient and limitations. Based on this analysis, the necessary condition for a is obtained. That ensure method is used to find energy-efficient driving trains. In this paper, we show how to calculate the critical switching points for an optimal strategy non-linear programming algorithm is used to solve the optimal control problem.

关键词： Optimal control problem Minimization of energy consumption non-linear algorithm Tramway system Human Machine Systems

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A four-node membrane element model with bending modification for one-step algorithm for bus rollover impact

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ENGINEERING COMPUTATIONS 2015年第3期32卷 607-620页

作者： Na, Jingxin Wang, Tong Wu, Changfeng Yan, Yakun Jilin Univ State Key Lab Automot Simulat & Control Changchun 130023 Peoples R China Xiamen Kinglong United Automot Ind Co Ltd Xiamen Peoples R China

Purpose - The purpose of this paper is to propose a new four-node membrane element model with bending modification based on the equilibrium principle of element nodal internal forces and bending moments for the application of the one-step algorithm for bus rollover collision. And it can be concluded whether the proposed four-node membrane element model has practical value in engineering application or not. Design/methodology/approach - Based on the equilibrium principle of element nodal internal forces and bending moments, the paper puts forward a four-node membrane element model with bending modification. A case study on the rollover of a typical bus body section is carried out by using the one-step algorithm for bus rollover collision to verify the effectiveness of the proposed element model. Findings - For the simulation of bus rollover collision, the computational accuracy can be guaranteed, meanwhile, the calculated amount is much smaller than the shell element, and computational efficiency is improved significantly. Originality/value - The proposed four-node membrane element model is used for the simulation of bus rollover collision for the first time. It holds the advantage of high computational efficiency of membrane element, and the computational accuracy is improved as well. In conclusion, it has some practical value in engineering application.

关键词： Finite element method Bus rollover collision non-linear algorithm

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A New non-linear algorithm For 3D Reconstruction From Straight-line Optical Flow

A New Non-Linear Algorithm For 3D Reconstruction From Straig...

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International Asia Conference on Informatics in Control, Automation and Robotics

作者： Chen Zhen Li Ming Jiang Shao-feng Wei Shui-gen Wang Yu Nanchang Hangkong Univ Coll Automat Comp Vis Lab Nanchang Peoples R China

ISBN: (纸本)9780769535197

This paper presents a new mathematical definition of straight-line optical flow. By using 21 straight-line optical flows in 3 consecutive image frames, a set of equations about 3D motion parameters are established to obtain 12 motion parameters of 3D object and coordinates of the 3D straight line. Usually, it is difficult to find the 21 straight lines on correspondence. In this paper, a minimum of 6 straight-line optical flows in 3 consecutive image frames is required to obtain 12 motion parameters of 3D object and coordinates of the 3D straight line, by solving non-linear equations. With the parameters and coordinates a 3D scene can be reconstructed.

关键词： Straight-line optical flow Reconstructing 3D motion and structure non-linear algorithm Image sequence Computer vision

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Optimized Phase Encoding for Optical Compressive Sensing Imaging

Optimized Phase Encoding for Optical Compressive Sensing Ima...

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International Conference on Optical Instruments and Technology - Optoelectronic Measurement Technology and Systems

作者： Sun, Jianchao Xu, Feng Soochow Univ Inst Modern Opt Technol Key Lab Adv Opt Mfg Technol Jiangsu Prov Suzhou 215006 Jiangsu Peoples R China

ISBN: (纸本)9780819499646

Compressive Sensing (CS) indicates that when the signal of interest is sparse or compressible (i.e., sparse after mathematical transformation), one can take a small number of linear projection measurements from the signal, and reconstruct the signal almost perfectly through proper algorithm. The feature of the CS has great potential applications in that high-resolution imaging is highly desirable while large size detector array is unavailable, such as those in ultraviolet or infrared wavelength region or that in aircrafts and satellites working condition when the data transmission is a key issue. However, CS technique still faces challenges in the signal sampling and reconstruction. Firstly, detector measurements must be nonnegative in linear optical system which is different from digital image processing. Secondly, blurring caused by practical optical system should be considered, which will destroy the effect of reconstruction. In this paper, we discuss some kinds of phase encoding which could be used in practice imaging system. We make a compensation to solve the non-negative problem when CS applied in the practical optical system, use a small size detector to receive a general image degrading model, and reconstructed image from the single, low-solution and noisy observation through a fast and feasible non-linear algorithm, the result proves our system is robust and feasible.

关键词： Compressive sensing non-negativity high-resolution non-linear algorithm single exposure

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Calculating daily mean air temperatures by different methods: implications from a non-linear algorithm

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AGRICULTURAL AND FOREST METEOROLOGY 2005年第1-2期128卷 57-65页

作者： Weiss, A Hays, CJ Univ Nebraska Sch Nat Resources Lincoln NE 68583 USA

Daily mean air temperature is used as an independent variable in algorithms describing many biological applications. These algorithms are usually of a non-linear nature. The questions addressed in this study were: is there a difference in the daily mean air temperature calculated by different methods and what is the impact of the various calculation methods on a non-linear algorithm? The empirical coefficient in the non-linear algorithm used in this study was determined from a daily mean air temperature based on the mean of 24 hourly mean temperature values. Daily mean air temperature was calculated by five methods: mean hourly (Hourly);three equally spaced hourly mean observations weighted with the last observation (Weighted);3 h mean temperatures (Mean 3 hour);the algorithm used in the CERES family of crop simulation models (CERES), and the mean of the maximum and minimum daily temperatures (Max/Min). It was assumed that the Hourly method best represented the daily mean air temperature and the other methods were compared to it. Two forms of air temperature were used in a non-linear algorithm;a sequential approach where the algorithm was run as many times as the number of individual temperature values used in each method, the results then averaged;and a single daily mean air temperature value. This non-linear algorithm was evaluated over a wide range of locations, ranging in elevation from 2.4 to 1252 m and annual precipitation from 108 to 1820 mm. There was little difference in daily mean air temperatures between the different methods. However, there were large differences in responses from the non-linear algorithm when using any sequential approach when compared to the single daily mean temperature values. The Mean 3 hour method worked well in all locations. The CERES method worked well except for two locations characterized by high mean annual maximum and minimum temperatures. These results do not mean that the sequential approaches are inappropriate, just that

关键词： daily mean air temperature non-linear algorithm

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