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3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG)

作者： Likassa, Habte Tadesse Fang, Wen-Hsien Chuang, Yung-An Natl Taiwan Univ Sci & Technol Dept Elect & Comp Engn Taipei Taiwan

ISBN: (纸本)9781538606612

This paper proposes an effective and robust algorithm for image alignment on a set of linearly correlated data. The new algorithm modifies the robust algorithm for Sparse and Low rank decomposition (RASL) by utilizing the prior information of partial column rank. To attain this, an extra term is incorporated in the decomposition of data matrix, which enables the new approach to be more resilient to errors, outliers and occlusions. The problem is cast as a constrained optimization problem, which is then solved by convex program. A new set of equations are also derived to update the variables involved in a round-robin manner. Conducted simulations on the recovery of aligned face images and handwritten digits reveal the effectiveness of the new algorithm compared with the main state-of-the-art works.

关键词： Image alignment occlusion and corruption robust algorithm sparse and low Rank decomposition

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robust Interval Criterion for a Steady Value 30

Robust Interval Criterion for a Steady Value

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30th International Scientific Symposium Metrology and Metrology Assurance, MMA 2020

作者： Bekhtin, Y.S. Lupachev, A.A. Kyaw, N.M. Kovalenko, A.V. Petsinyarzh, A.R. National Research University Moscow Power Engineering Institute' Dept. of Diagnostics and Measurement Technologies Moscow Russia Moscow State Technical University Named after N. Bauman Dept. of Automatic Control Systems Moscow Russia

ISBN: (纸本)9781728197197

The work is a development of the interval criterion for determining the moment when the steady-state value of the transition signal occurs. These criteria are used in technologies related to testing complex objects under conditions of parametric uncertainty of its model. The transient signal is analyzed in on-line mode. Therefore, the accuracy of the decision about the time of the end of the tests determines the cost of conducting them. Such tests are characterized by significant dynamic errors that significantly exceed the allowed level. The reasons for this are the parametric uncertainty in the mathematical model of the object and the inability of the deterministic interval criterion to correctly issue a solution under these conditions. It was previously determined that the interval criterion is characterized by the presence of an asymptotic critical value of the criterion. Exceeding the object's real time constant over the critical value gives a false positive result. This situation is characterized by the fact that the desired moment is falsely determined significantly earlier than the optimal solution. You can avoid this situation if you set the criteria to the maximum constant of the object's time. However, this choice leads to significant time losses when analyzing the transition signal. The solution of the problem of guaranteed provision of a given level of dynamic error over the entire range of values of the object model parameter is possible using a robust algorithm. The basis for constructing a robust criterion is to control the duration of the observation interval. For this purpose, the current information about the analyzed signal is used. There are three ways to apply the current information. The first approach is based on the use of an extrapolated estimate of the established value. This allows you to determine the estimate of the current dynamic error and prevent a falsely positive decision of the criterion. The second approach is based on the analys

关键词： analysis of the transition process duration of the observation interval duration of the transition process dynamic error analysis false positive solution robust algorithm

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Development and Verification of a Novel Measurement and Position System for Confined Cabin

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IEEE SENSORS JOURNAL 2021年第3期21卷 3107-3120页

作者： Hao, Qiang Wang, Guochen Jiang, Pan Yu, Dongkang Wang, Dan Yang, Ming Xu, Dingjie Harbin Inst Technol Harbin 150001 Peoples R China China Ship Res & Dev Acad Beijing 100192 Peoples R China

The high-accuracy key points measurement is necessary for shipbuilding, and numerous measuring systems have been invented. However, there are still limitations and challenges in measurement frequency, calibration method and environmental disturbances. This paper presents a novel and automatic measurement and position system based on laser scan technology. The system components and mathematical model are introduced. Subsequently, a fast calibration method is established, also different calibration schemes and calibration algorithms are discussed. To avoid the environmental disturbances to this system, a robust positioning algorithm based on maximum likelihood estimation is presented. A series of simulation and verification experiments in normal and interferential environment are designed to evaluate the precision of the proposed system. The results shows that the system's position accuracy can reach 1.00mm with 50Hz output whether there are disturbances or not, which can meet the need of position in the confined cabin.

关键词： Shipbuilding laser scan fast calibration robust algorithm high precision position system

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Extended Factitious Force Approach for Control of a Mobile Manipulator Moving on Unknown Terrain

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JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 2019年第3-4期93卷 699-712页

作者： Domski, Wojciech Mazur, Alicja Kaczmarek, Mirela Wroclaw Univ Sci & Technol Fac Elect Chair Cybernet & Robot Ul Janiszewskiego 11-17 PL-50372 Wroclaw Poland

In the paper a new control algorithm for mobile manipulators with skid-steering platform, moving on unknown terrain, has been introduced. The mobile manipulator consists of a skid-steering mobile platform and a 2R rigid manipulating arm mounted on the platform. Due to under-actuation of such mobile platforms, the concept of factitious force (which does not exist in reality and is assumed to be always 0) has been utilised. Presented control law, in adaptive and robust version, guarantees asymptotically fast convergence of tracking errors to 0, which has been proved in the article. Simulations, which have been conducted for object of considerations, confirm that the developed control law works properly even in terrain which parameters are unknown and piece-wise constant.

关键词： Mobile manipulator Underactuated system Nonholonomic constraint Skid steering Kinematics Dynamics Adaptive algorithm robust algorithm

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Pitman Yor Diffusion Trees for Bayesian Hierarchical Clustering

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2015年第2期37卷 271-289页

作者： Knowles, David A. Ghahramani, Zoubin Stanford Univ Menlo Pk CA 94025 USA Univ Cambridge Dept Engn Cambridge CB2 1PZ England

In this paper we introduce the Pitman Yor Diffusion Tree (PYDT), a Bayesian non-parametric prior over tree structures which generalises the Dirichlet Diffusion Tree [30] and removes the restriction to binary branching structure. The generative process is described and shown to result in an exchangeable distribution over data points. We prove some theoretical properties of the model including showing its construction as the continuum limit of a nested Chinese restaurant process model. We then present two alternative MCMC samplers which allow us to model uncertainty over tree structures, and a computationally efficient greedy Bayesian EM search algorithm. Both algorithms use message passing on the tree structure. The utility of the model and algorithms is demonstrated on synthetic and real world data, both continuous and binary.

关键词： Machine learning unsupervised learning clustering methods phylogeny density estimation robust algorithm

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Performance Evaluation of Improved Symbiotic Organism Search algorithm for Estimation of Solute Transport in Rivers

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WATER RESOURCES MANAGEMENT 2020年第4期34卷 1453-1464页

作者： Madadi, Mohamad Reza Akbarifard, Saeid Qaderi, Kourosh Univ Jiroft Dept Water Engn Jiroft Iran Shahid Chamran Univ Ahvaz Dept Hydrol & Water Resources Ahvaz Iran Shahid Bahonar Univ Kerman Dept Water Engn Kerman Iran

Accurate estimation of solute transport has significant importance in water resources and environmental engineering. Among the various types of mathematical formulation for modeling of solute transport, the transient storage model has been widely applied by different researchers as an appropriate model. In this study, an improved version of symbiotic organism search (SOS) algorithm was used to estimate the parameters of transient storage model. A large set of data from natural rivers of USA was collected from the literature and used for derivation and validation of the algorithm. The performance of the algorithm was evaluated by standard statistical indices. Accordingly, the values of R and RMSE for transient storage model parameters (K-f, T and epsilon) were obtained 0.922 and 30.62 (for K-f), 0.596 and 5645 (for T) and, 0.643 and 0.019 (for epsilon) for whole dataset. In addition, the results of this study were compared with those obtained by different reserachers via other models. The results indicate the higher capability of improved SOS algorithim compared to the others in estimating the transient storage model parameters.

关键词： Pollutant dispersion Advection-dispersion equation Water quality modelling River ecosystem Estimation robust algorithm

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Fuzzy auto-associative neural networks for principal component extraction of noisy data

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IEEE TRANSACTIONS ON NEURAL NETWORKS 2000年第3期11卷 808-810页

作者： Yang, TN Wang, SD Natl Taiwan Univ Dept Elect Engn Taipei 10764 Taiwan

In this paper, we propose a fuzzy auto-associative neural network for principal component extraction. The objective function is based on reconstructing the inputs from the corresponding outputs of the auto-associative neural network. Unlike the traditional approaches, the proposed criterion is a fuzzy mean squared error, We prove that the proposed objective function is an appropriate fuzzy formulation of auto-associative neural network for principal component extraction. Simulations are given to show the performances of the proposed neural networks in comparison with the existing method.

关键词： auto-associative neural networks fuzzy theory principal component analysis robust algorithm

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Configuring RBF neural networks

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ELECTRONICS LETTERS 1998年第7期34卷 684-685页

作者： Sohn, I Ansari, N New Jersey Inst Technol Dept Elect & Comp Engn Newark NJ 07102 USA

A novel method (based on the characteristics of scatter matrices and frequency-sensitive competitive learning) for training the hidden layer of a radial basis fraction neural network is proposed. The method is demonst... 详细信息

关键词： SBC radial basis function neural network hidden layer Neural nets scatter matrix S-matrix theory unsupervised learning RBF neural network training frequency-sensitive competitive learning robust algorithm feedforward neural nets

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Improvement for solving the mix-up problem in constant modulus arrays

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ELECTRONICS LETTERS 1999年第25期35卷 2161-2163页

作者： Volani, K Constantinides, AG Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn London SW7 2BT England

The authors propose an efficient and computationally fast algorithm for solving the mix-up problem in complex arrays. The Lagrange multiplier theory is used in the optimisation of the constant modulus algorithm (CMA) cost function and the input data are processed in blocks. Furthermore, a simplification of the CMA cost function is proposed that leads to a robust algorithm for solving this problem. Simulations are presented to support the analysis.

关键词： mix-up problem Communication channel equalisation and identification QAM array signal processing quadrature amplitude modulation cost function blind adaptive equalisers blind equalisers adaptive equalisers constant modulus arrays Lagrange multiplier theory Signal processing and detection constant modulus algorithm robust algorithm CMA cost function

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Voice activity detector based on CAPDM architecture

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ELECTRONICS LETTERS 2001年第1期37卷 68-69页

作者： Liu, CH Huang, CC Natl Chiao Tung Univ Dept Commun Engn Wireless Commun Lab Hsinchu Taiwan

A voice activity detector based on the controlled adaptive prediction delta modulation architecture is presented. The proposed detector utilises two parameters, a prediction gain and a prediction indicator. Computer s... 详细信息

关键词： adaptive signal detection Speech processing techniques Signal detection voice activity detector voice activity detection algorithm controlled adaptive prediction delta modulation prediction gain Modulation and coding methods CAPDM architecture prediction theory speech coding delta modulation noisy environment Speech and audio coding Signal processing theory robust algorithm prediction indicator

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