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2021 China Automation Congress, CAC 2021

作者： Zhang, Yunong Zhang, Yining Li, Litian School of Compute Science and Engineering Sun Yat-sen University Guangzhou510006 China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen518057 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou510006 China Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China School of Artificial Intelligence Sun Yat-sen University Zhuhai519082 China

ISBN: (纸本)9781665426473

UK hung parliament (UKHP) prediction is a concern. It may not only cause political issues, but also lead to troubles in other fields such as economics. It is important to make predictions on UKHP. In this paper, we use three-variable and five-variable Weng-Zhang algorithms (also termed addition-subtraction and frequency [ASF] algorithms) of different traversal types to predict the risky time-intervals and years of UKHP to give an early alert for avoidance. Experiment results show that 2021-2023, 2047-2068, and 2098-2104 are more potentially risky, and 2023, 2053, 2055, 2061, 2068, and 2098 have a greater risk for the occurrence of UKHP. © 2021 IEEE

关键词： Forecasting

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Communication Resource Planning Algorithm Based on Time Triggered DIMA Architecture

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Journal of Beijing institute of Technology 2019年第2期28卷 327-335页

作者： Hongchun Wang Buqun Luan Wensheng Niu School of Compute Science and Technology Xidian UniversityXi'an 710071China School of Communication Engineering Xidian UniversityXi'an 710071China Institute of Flight Control Tianjin Institute for Advanced Equipments of Tsinghua UnvierstityTianjin 300300China Aeronautical Computing Technique Research Institute Xi'an 710068China

Traditional scheduling algorithms for avionics communication have the shortcoming of messages accumulation,the efficiency and reliability of the service can be improved by combining the distributed integrated modular avionics(DIMA)system with a time trigger *** further improve the utilization of system resources,the static scheduling algorithm of time triggered service is *** making the time trigger message schedule dispersedly,the stabilities of both the available time slots for the event triggered messages and the system will be *** improved two-dimensional bin packing algorithm is also presented to achieve the above-mentioned purpose with an extra benefit of better delay performance.

关键词： distributed integrated modular avionics time-triggered two-dimensional bin packing algorithm

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Three-Variable and Five-Variable Weng-Zhang Algorithms of Different Traversal Types Applied to UKHP Prediction

Three-Variable and Five-Variable Weng-Zhang Algorithms of Di...

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Chinese Automation Congress (CAC)

作者： Yunong Zhang Yining Zhang Lilian Li School of Compute Science and Engineering Sun Yat-sen University Guangzhou China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China Guangdong Key Laboratory of Modern Control Technology Guangzhou China School of Artificial Intelligence Sun Yat-sen University Zhuhai China

ISBN: (纸本)9781665426480

UK hung parliament (UKHP) prediction is a concern. It may not only cause political issues, but also lead to troubles in other fields such as economics. It is important to make predictions on UKHP. In this paper, we use three-variable and five-variable Weng-Zhang algorithms (also termed addition- subtraction and frequency [ASF] algorithms) of different traversal types to predict the risky time-intervals and years of UKHP to give an early alert for avoidance. Experiment results show that 2021-2023, 2047-2068, and 2098-2104 are more potentially risky, and 2023, 2053, 2055, 2061, 2068, and 2098 have a greater risk for the occurrence of UKHP.

关键词： Economics Time-frequency analysis Automation Human factors Prediction algorithms

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Corrigendum to "Rapid determination of aflatoxin B1 concentration in soybean oil using terahertz spectroscopy with chemometric methods" [Food Chemistry 293 (2019) 213-219]

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Food chemistry 2020年 316卷 126131页

作者： Wei Liu Pengguang Zhao Chaosheng Wu Changhong Liu Jianbo Yang Lei Zheng School of Food and Biological Engineering Hefei University of Technology Hefei 230009 China Intelligent Control and Compute Vision Lab Hefei University Hefei 230601 China. School of Food and Biological Engineering Hefei University of Technology Hefei 230009 China. Rice Research Institute Anhui Academy of Agricultural Sciences Hefei 230031 China. Research Laboratory of Agricultural Environment and Food Safety Anhui Modern Agricultural Industry Technology System Hefei 230009 China. Electronic address: lzheng@***.

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A novel tuning approach for offset-free MPC

A novel tuning approach for offset-free MPC

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European control Conference (ECC)

作者： Harald Waschl John Bagterp Jørgensen Jakob Kjøbsted Huusom Luigi del Re Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria DTU Compute Technical University of Denmark Denmark Department of Chemical and Biochemical Engineering Technical University of Denmark Denmark

Since the beginnings in the chemical and process industry, model based predictive control strategies have become widely accepted. Often mentioned success factors for MPC are the use of optimization based on a plant model, the consideration of constraints, and an intuitive tuning. Indeed, if a nominal plant and overall objective are known, the tuning can become straightforward. However, as soon as disturbances have to be taken into account, the tuning effort increases and becomes less intuitive. Against this background, a novel strategy to address the issues with unknown disturbances is proposed. The idea is to separate the nominal tuning process and extend the control by an outer loop, which ensures offset-free control. The inner, nominal loop decouples the system and essentially leads to a first order response. This inner loop addresses the performance targets in the nominal case, and the outer loop provides offset-free control in case of unknown disturbances. The outer loop consists of feedback controllers adapting the reference, which due to the decoupling can be tuned by known guidelines. The proposed strategy is presented and evaluated using a simulated case study.

关键词： Tuning Optimization Linear programming Kalman filters Standards Steady-state Process control

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Face recognition with one sample per person based on contourlet and nearest feature line

Face recognition with one sample per person based on contour...

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2011 International Conference on Image Processing, computer Vision, and Pattern Recognition, IPCV 2011

作者： Yan, Lijun Pan, Jengshyang Department of Automatic Test and Control Harbin Institute of Technology Harbin Heilongjiang China Department of Compute Science Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan

ISBN: (纸本)9781601321916

In this paper, a novel algorithm for face recognition with one sample per person is proposed. The proposed algorithm is based on contourlet. Multiple training images for each class are constructed through the decomposition and reconstruction of original training images by contourlet. Thus neighborhood discriminant nearest feature line analysis can be performed on the new database. The experimental results demonstrate the efficiency of the proposed algorithm.

关键词： Face recognition

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Face recognition with one sample per person based on contourlet

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ICIC Express Letters, Part B: Applications 2011年第2期2卷 345-349页

作者： Yan, Lijun Pan, Jeng-Shyang Department of Automatic Test and Control Harbin Institute of Technology No. 92 West Da-Zhi Street Harbin 150001 China Department of Compute Science Harbin Institute of Technology Shenzhen University Town Xili Shenzhen 518055 China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Chien Kung Campus 415 Chien Kung Road Kaohsiung 807 Taiwan

In this paper, a novel algorithm for face recognition with one sample per person is proposed. The proposed algorithm is based on contourlet. Multiple training images for each class are constructed through the decomposition and reconstruction of original training images by contourlet. Thus, two-dimensional linear discriminant analysis can be performed on the new database. The experimental results demonstrate the efficiency of the proposed algorithm. © 2011 ISSN 2185-2766.

关键词： Face recognition

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A New Algorithm of Self-adaptability for Digital Audio Watermark with Energy Quantization

A New Algorithm of Self-adaptability for Digital Audio Water...

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Pacific-Asia Conference on Circuits, Communications and Systems, PACCS

作者： Dahui Li Compute and Control Engineering Institute Qiqihar University Qiqihar Heilongjiang China

A new algorithm of self-adaptability for digital audio watermark with energy quantization is put forward in this paper. First, the visually recognizable binary watermark image should be converted into the one-dimensional sequence in the algorithm. The watermark sequence is permuted and encrypted through Amold transformation, then carve up the original digital audio signal to audio data segment and do the DCT and DWT to every audio data segment. Finally choose the quantization step by self-adaptability according to the masking properties of human auditory system and the watermark signal is embedded to low- frequency components of audio data signal segment. The experimental results of simulation show that the algorithm not only has great imperceptibility but also has great robustness to the co-attack of superposition noise, low pass filter and resample.

关键词： Watermarking Quantization Image segmentation Image recognition Image converters Cryptography Discrete cosine transforms Discrete wavelet transforms Humans Auditory system

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A speckle noise separation algorithm based on non-linear mixture model

A speckle noise separation algorithm based on non-linear mix...

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2nd International Conference on Innovative Computing, Information and control, ICICIC 2007

作者： Dahui, Li Xuefeng, Dai Shi, Yan Compute and Control Engineering Institute Qiqihar University Qiqihar Heilongjiang 161006 China Graduate School of Science and Technology Tokai University Unified Graduate School 9-1-1 Toroku Kumamoto 862-8652 Japan

ISBN: (纸本)0769528821

Speckle noise separation is an important problem in the remote sensing technology applications. According to analyzing the production principle and transfer feature, speckle noise separation model that is suitable for nonlinear mixture environment is presented and speckle noise separation algorithm based on nonlinear mixture is designed at same time. The experiment proved that speckle index can be lowered effectively. Processed image can show features of details of the proposed method. © 2007 IEEE.

关键词： Speckle

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Blind Separation Algorithm for Audio Signal Based on Genetic Algorithm and Neural Network

Blind Separation Algorithm for Audio Signal Based on Genetic...

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International Symposium on Information Science and engineering, ISISE

作者： Dahui Li Ming Diao Xuefeng Dai Compute and Control Engineering Institute Qiqihar University Qiqihar Heilongjiang China College of Information and Communication Engineering Harbin Engineering of Technology Harbin Heilongjiang China

The blind separation of audio signal is an important application of blind signal separation technology. The traditional separation algorithm based on neural network is analyzed first in this article. The shortage of it is easy to fall into local minimum, and it causes the limitation of convergence slowly and separation results inaccurate. Then, a separation algorithm is designed with genetic algorithm and neural network. The algorithm will optimize the initial value of the weight of separation, in order to control the sample by select operation, or cross operation, or mutation operation in the entire search space. Experiments show that it can obtain optimal values for separation matrix, and the speed of audio signal blind separation is quick and effective obviously.

关键词： Genetic algorithms Neural networks Signal processing algorithms Algorithm design and analysis Backpropagation algorithms Genetic engineering Blind source separation Radar signal processing Convergence Source separation

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