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Bottleneck Prediction Method Based on Improved Adaptive Network-based Fuzzy Inference System (ANFIS) in Semiconductor Manufacturing System

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Chinese Journal of Chemical engineering 2012年第6期20卷 1081-1088页

作者：曹政才邓积杰刘民王永吉 College of Information Science and Technology Beijing University of Chemical Technology Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Tsinghua National Laboratory for Information Science and Technology State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China

Semiconductor manufacturing (SM) system is one of the most complicated hybrid processes involved continuously variable dynamical systems and discrete event dynamical systems. The optimization and scheduling of semiconductor fabrication has long been a hot research direction in automation. Bottleneck is the key factor to a SM system, which seriously influences the throughput rate, cycle time, time-delivery rate, etc. Efficient prediction for the bottleneck of a SM system provides the best support for the consequent scheduling. Because categorical data (product types, releasing strategies) and numerical data (work in process, processing time, utilization rate, buffer length, etc.) have significant effect on bottleneck, an improved adaptive network-based fuzzy inference system (ANFIS) was adopted in this study to predict bottleneck since conventional neural network-based methods accommodate only numerical inputs. In this improved ANFIS, the contribution of categorical inputs to firing strength is reflected through a transformation matrix. In order to tackle high-dimensional inputs, reduce the number of fuzzy rules and obtain high prediction accuracy, a fuzzy c-means method combining binary tree linear division method was applied to identify the initial structure of fuzzy inference system. According to the experimental results, the main-bottleneck and sub-bottleneck of SM system can be predicted accurately with the proposed method.

关键词： semiconductor manufacturing system bottleneck prediction adaptive network-based fuzzy inference system

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The differential fault analysis on block cipher FeW

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Cybersecurity 2023年第2期6卷 62-74页

作者： Haiyan Xiao Lifang Wang Jinyong Chang School of Computer Science Northwestern Polytechnical UniversityXiAn 710055People's Republic of China Engineering University of PAP XiAn 710055People's Republic of China School of Information and Control Engineering XiAn University of Architecture and TechnologyXi'An 710055People's Republic of China State Key Laboratory of Information Security(SKLOIS) Institute of Information EngineeringChinese Academy of SciencesBeijing 100089People's Republic of China

Feather weight(FeW)cipher is a lightweight block cipher proposed by Kumar et *** 2019,which takes 64 bits plaintext as input and produces 64 bits *** Kumar et ***,FeW is a software oriented design with the aim of achieving high efficiency in software based *** seems that FeW is immune to many cryptographic attacks,like linear,impossible differential,differential and zero correlation ***,in recent work,Xie et *** the security of *** precisely,they proved that under the differential fault analysis(DFA)on the encryption states,an attacker can completely recover the master secret *** this paper,we revisit the block cipher FeW and consider the DFA on its key schedule algorithm,which is rather popular cryptanalysis for kinds of block *** particular,by respectively injected faults into the 30th and 29th round subkeys,one can recover about 55/80~69%bits of master *** the brute force searching remaining bits,one can obtain the full master secret *** simulations and experiment results show that our analysis is practical.

关键词： Differential fault analysis Block cipher FeW Side channel attack

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Simultaneous Extraction of the Moon and Stars at Night

Simultaneous Extraction of the Moon and Stars at Night

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Huajun Du Huosheng Hu Yunfeng Ai Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligence Control School of Computer and Electronics Engineering University of Essex School of Engineering Science University of Chinese Academy of Sciences

ISBN: (纸本)9781467383196

It is well known that star sensor is an accurate attitude sensor in various real applications,which however has not been fully used to observe stars and the moon *** paper investigates how the moon and stars can be observed by the star sensor,and how to process the images taken under different light conditions to extract information to determine attitude and location of the *** are conducted to show that the star sensor can be efficiently applied as an integrated celestial sensor,providing economical,reliable and autonomous benefits to the missions conducted on the earth,in the air,on other planets and so on.

关键词： star sensor the moon and stars image processing

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Model predictive controller for networked control systems

Model predictive controller for networked control systems

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12th IFAC Symposium on Large Scale Systems: Theory and Applications, LSS 2010

作者： Ewald, Grzegorz Brdys, Mietek A. Department of Automatic Control Gdansk University of Technology ul. Narutowicza 11/12 80-233 Gdańsk Poland School of Electronic Electrical and Computer Engineering College of Engineering and Physical Sciences University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom

ISBN: (纸本)9783902661913

control of the networked control systems is a crucial challenge. In the environment of shared communication media, data may be randomly delayed or even lost. As the shared communication links are used in the critical infrastructure systems, the problem becomes even more important. As opposed to network compensation, solutions presented in the paper integrate network with the controlled plant. The proposed networked control system employs the model predictive control technology and is based on the buffer in the actuator. Stability of the presented solution used to control a linear discrete time system is analyzed. A simulation example is also provided.

关键词： Networked control systems

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Application of reversible discrete-time cellular neural networks to image copyright labelling

Application of reversible discrete-time cellular neural netw...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Tao Yang K.R. Crounse L.O. Chua Electronics Research Laboratory Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley CA USA Department of Automatic Control Engineering Shanghai University of Technology Shanghai China

In this paper, we proposed a discrete-time cellular neural network (DTCNN) structure for the labelling of digital images. First, we present the concept and the structure of reversible DTCNN, which can be used to generate 2D binary random image sequences. Then both the original image and the copyright label, which is often another binary image, are used to generate a binary random key image. The key image is then used to scramble the original image. Due to the reversibility of a reversible DTCNN, the same reversible DTCNN is used to recover the copyright label from a labelled image. Due to the high speed of a DTCNN chip, our method can be used to label image sequences, e.g., video sequences, in real time. computer simulation results are presented.

关键词： Cellular neural networks Labeling Image sequences computer networks Multimedia databases Space technology Cellular networks Application software Laboratories Digital images

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Discriminative spatial codebook generation for image classification

Discriminative spatial codebook generation for image classif...

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2013 7th International Conference on Image and Graphics, ICIG 2013

作者： Zhang, Chunjie Xiong, Wei Liu, Jing Fang, Liang Zhang, Weigang Huang, Qingming School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing China School of Civil Engineering Suzhou University of Science and Technology Suzhou 215011 China School of Computer Science and Technology Harbin Institute of Technology at Weihai Weihai 264209 China

ISBN: (纸本)9780769550503

Codebook plays an important role in the bag-of-visual-words (BoW) model for image classification. However, the traditional codebook generation procedure ignores the spatial information. Although a lot of works have been done to consider the spatial information for codebook generation, most of them rely on fixed region selection or partition of images, hence are not able to cope with the variations of images. To solve this problem, in this paper, we propose a novel discriminative spatial coding algorithm which can automatically generate and select the most representative codebooks for image representation. This is achieved by first generate a number of spatial codebooks through over-complete image partition with overlap. Second, for each local feature to be encoded, the most discriminative codebook is selected by jointly minimizing the encoding error and the codebook's spatial distance. Experimental results on several public image datasets show the effectiveness of the proposed discriminative spatial coding method for efficient image classification. © 2013 IEEE.

关键词： Image classification

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Hierarchical fuzzy controller and its industrial application

Hierarchical fuzzy controller and its industrial application

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IEEE International Conference on Intelligent Processing Systems, ICIPS

作者： Shu-Meng Pei Li Shen Le-Nian Ye Institute of Computer Technology Chinese Academy and Sciences Beijing China Department of Automatic Control Engineering South China University of Technology Guangzhou China

ISBN: (纸本)0780342534

To reduce the difficulties involved in choosing an appropriate fuzzy knowledge base, i.e. scaling factors, membership functions, rules, etc., of a fuzzy PI controller that is capable of control in most industrial environments, a kind of fuzzy controller with a hierarchical structure is proposed which takes accumulated control as an input in addition to the error and change of error. The new fuzzy controller is divided into several subcontrollers which can be designed separately. Each subcontroller can be designed easily and can perform well in a certain running state. When all the subcontrollers perform well, the hierarchical fuzzy controller can obtain a good performance. A general strategy for dividing up the whole controller is defined. Simulation results show that both the transitory performance and the steady-state performance are better than that of conventional fuzzy PI controllers. The proposed hierarchical fuzzy controller is applied to a 10 tonne/hour coal-burning grate boiler and some real-time running results are given.

关键词： Fuzzy control Industrial control Error correction Fuzzy logic Velocity control automatic control PD control Performance gain Knowledge engineering Appropriate technology

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Modeling nonlinear medical ultrasound via a linearized contrast source method

Modeling nonlinear medical ultrasound via a linearized contr...

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作者： Demi, L. Verweij, M.D. De Jong, N. Van Dongen, K.W.A. Laboratory of Acoustical Imaging and Sound Control Faculty of Applied Sciences Delft University of Technology Netherlands Laboratory of Electromagnetic Research Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Laboratory of Experimental Echocardiography Erasmus Medical Center Rotterdam Netherlands

ISBN: (纸本)9781457703829

Research on nonlinear medical ultrasound has been increased over the last decade and has resulted in a wide range of numerical methods for the modeling of the nonlinear distortion of a propagating pressure wave. However, when applied to realistic configurations, the majority of these methods are either computationally expensive or limited by the applied approximations. The Iterative Nonlinear Contrast Source (INCS) method is able to accurately compute the pulsed nonlinear pressure wave field that is generated in a large three-dimensional domain by an arbitrary transducer transmitting under a large steering angle. The method is based on the Neumann iterative solution of a nonlinear integral equation that is equivalent to the Westervelt equation. To improve the performance of the method, it would be beneficial to employ iterative schemes (e.g. Conjugate Gradient based schemes) that are efficient for solving linear integral equations. This motivates the development of a linearized version of the INCS method, as presented in this paper. To test the presented approach, a Bi-CGSTAB scheme is used to solve the linearized Westervelt equation. For the one-dimensional case, results are obtained and compared with the solution obtained with the original INCS method, and the Fubini solution. All the results have been obtained up to the third harmonic component and are in agreement with each other. © 2010 IEEE.

关键词： Numerical methods

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Modeling nonlinear acoustic wave fields in media with inhomogeneity in the attenuation and in the nonlinearity

Modeling nonlinear acoustic wave fields in media with inhomo...

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ISBN: (纸本)9781457703829

Biomedical tissues usually show inhomogeneity in their acoustic medium parameters. These inhomogeneities cause refraction and scattering of diagnostic and therapeutic ultrasound waves. A method that is able to model the effects of inhomogeneity in the attenuation and in the nonlinearity is essential for the design of transducers for new ultrasound modalities and the development of novel ultrasound applications. The Iterative Nonlinear Contrast Source (INCS) method has originally been designed for the accurate modeling of nonlinear acoustic wave fields in homogeneous media. It considers the nonlinear term from the Westervelt equation as a distributed contrast source, and the corresponding integral equation is solved using an iterative Neumann scheme. This paper presents an extension of the INCS method that can handle inhomogeneity in the attenuation and in the coefficient of nonlinearity. Results are presented for the one-dimensional case. These show that in this case the presented method correctly predicts the effects related to nonlinear propagation and scattering by inhomogeneities in the attenuation and the coefficient of non-linearity. © 2010 IEEE.

关键词： Integral equations

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Reference governor design with guarantees of detection for delay variation

Reference governor design with guarantees of detection for d...

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10th IFAC Workshop on Time Delay Systems, TDS-2012

作者： Stanković, Nikola Stoican, Florin Olaru, Sorin Niculescu, Silviu-Iulian SUPELEC System Sciences E3S - Automatic Control Department Gif-sur-Yvette France Norwegian University of Science and Technology Department of Engineering Cybernetics Trondheim Norway SUPELEC CNRS LSS - Laboratory of Signals and Systems Gif-sur-Yvette France

ISBN: (纸本)9783902823045

The present paper deals with fault tolerant control for linear dynamics with additive disturbances. The control action is generated based on information collected from a redundant, multi-sensors network. Delays that may appear during plant measurements transmission through real communication channels are considered as faults. Depending on presence of delay in feedback loop, different invariant sets can be computed. We show that fault tolerant control can be achieved through invariant sets separation with respect to different delay values. Sets separation is accomplished for specific values of the reference signal. Therefore, we introduce in the loop a reference governor which is designed by a receding horizon technique. Thus, we provide reference signals which practically guarantee fault detection and identification in real time. © 2012 IFAC.

关键词： Fault tolerance

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