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Workshop on Hyperspectral Image and Signal Processing

作者： Mura, Mauro Dalla Villa, Alberto Benediktsson, Jon Atli Chanussot, Jocelyn Bruzzonea, Lorenzo Department of Information Engineering and Computer Science University of Trento Via Sommarive 14 I-38123 Povo Trento Italy Faculty of Electrical and Computer Engineering University of Iceland Hjardarhaga 2-6 101 Reykjavik Iceland GIPSA-lab Signal and Image Dept. Grenoble Institute of Technology - INP 961 rue de la Houille Blanche 38402 Grenoble Cedex France

ISBN: (纸本)9781424489077

In this paper, a technique based on Independent Component Analysis (ICA) and morphological attribute filters is presented for the classification of high geometrical resolution hyperspectral images. The ICA is computed instead of the conventional principal component analysis (PCA) in order to better model the information in the hyperspectral image. The spatial characteristics of the objects in the scene are modeled by different multi-level attribute filters. Moreover, a method for increasing the robustness of the analysis based on a decision fusion strategy is proposed. A hyperspectral high resolution image acquired over the city of Pavia (Italy) was considered in the experiments. ©2010 IEEE.

关键词： Independent component analysis

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Adaptive Inference-based Learning and Rule Generation Algorithms in Fuzzy Neural Network for Failure Prediction

Adaptive Inference-based Learning and Rule Generation Algori...

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The 2010 International Conference on Intelligent Systems and Knowledge engineering(第五届智能系统与知识工程国际会议)

作者： Vahid Behbood Jie lu Guangquan Zhang Decision Systems & E-Service Intelligence Research Laboratory Center for Quantum Computing and Intelligent System School of Software Faculty of Engineering and Information Technology University of Technology Sydney Sydney POBOX123 Broadway NSW2007 Australia

Creating an applicable and precise failure prediction system is highly desirable for decision makers and regulators in the finance industry. This study develops a new Failure Prediction (FP) approach which effectively integrates a fuzzy logic-based adaptive inference system with the learning ability of a neural network to generate knowledge in the form of a fuzzy rule base. This FP approach uses a preprocessing phase to deal with the imbalanced data-sets problem and develops a new Fuzzy Neural Network (FNN) including an adaptive inference system in the learning algorithm along with its network structure and rule generation algorithm as a means to reduce prediction error in the FP approach.

关键词： Accuracy Inference algorithms Fuzzy neural networks Prediction algorithms Pragmatics Artificial neural networks Clustering algorithms

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Adaptive spread-transform dither modulation using a new perceptual model for color image watermarking

Adaptive spread-transform dither modulation using a new perc...

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作者： Ma, Lihong Yu, Dong Wei, Gang Tian, Jing Lu, Hanqing Guangdong Key Lab of Wireless Network and Terminal School of Electronic and Information Engineering South China University of Technology Guangzhou 510641 China Co. Ltd. Tianhe Software Park 6F No. 44 Jian Zhong Road Tianhe District Guangzhou 510665 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore Singapore National Lab of Patt. Recog. Institute Automation China Academy of Science Beijing 100080 China

Major challenges of the conventional spread-transform dither modulation (STDM) watermarking approach are two-fold: (i) it exploits a fixed watermarking strength (more particularly, the quantization index step size) to the whole cover image;and (ii) it is fairly vulnerable to the amplitude changes. To tackle the above challenges, an adaptive spreadtransform dither modulation (ASTDM) approach is proposed in this paper for conducting robust color image watermarking by incorporating a new perceptual model into the conventional STDM framework. The proposed approach exploits a new perceptual model to adjust the quantization index step sizes according to the local perceptual characteristics of a cover image. Furthermore, in contrast to the conventional Watson's model is vulnerable to the amplitude changes, our proposed new perceptual model makes the luminance masking thresholds be consistent with any amplitude change, while keeping the consistence to the properties of the human visual system. In addition, certain color artifacts could be incurred during the watermark embedding procedure, since some intensity values are perceptibly changed to label the watermark. For that, a color artifact suppression algorithm is proposed by mathematically deriving an upper bound for the intensity values according to the inherent relationship between the saturation and the intensity components. Extensive experiments are conducted using 500 images selected from Corel database to demonstrate the superior performance of the proposed ASTDM *** © 2010 The Institute of Electronics, information and Communication Engineers.

关键词： Color

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Backtrack and Restart Genetic Algorithm to Optimize Delivery Schedule

Backtrack and Restart Genetic Algorithm to Optimize Delivery...

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Yoshitaka Sakurai Kouhei Takada Natsuki Tsukamoto Takashi Onoyama Rainer Knauf Setsuo Tsuruta School of Information Environment Tokyo Denki University Chiba Japan Research & Development Department Hitachi Software Engineering Company Limited Tokyo Japan Faculty of Computer Science and Automation Ilmenau University of Technology Ilmenau Germany

A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (max. 1500-2000) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, a Backtrack and Restart Genetic Algorithm (Br-GA) is proposed and compared with conventional ones, especially such as an Inner Random Restart Genetic Algorithm (Irr-GA). This method combines Backtracking and GA having simple heuristics such as 2-opt and NI (Nearest Insertion) so that, in case of stagflation, GA can restarts with the state of populations going back to the state in the generation before stagflation. Including these heuristics, field experts and field engineers can easily understand the way and use it. Using the tool applying their method, they can easily create/modify the solutions or conditions interactively depending on their field needs. Experimental results proved that the method meets the above-mentioned delivery scheduling requirements more than other methods from the viewpoint of optimality as well as simplicity. Especially as to optimality, Br-GA is superior to even Irr-GA.

关键词： Nickel Gallium Optimization Pediatrics Humans Cities and towns Real time systems

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Inner Random Restart Genetic Algorithm to optimize delivery schedule

Inner Random Restart Genetic Algorithm to optimize delivery ...

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IEEE International Conference on Systems, Man and Cybernetics

A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (maximum 2 thousands or so) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, an Inner Random Restart Genetic Algorithm (Irr-GA) method is proposed. This method combines random restart and GA that has different types of simple heuristics such as 2-opt and NI (Nearest Insertion). Including these heuristics, field experts and field engineers can easily understand the way and use it. Using the tool applying their method, they can easily create/modify the solutions or conditions interactively depending on their field needs. Experimental results proved that the method meets the above-mentioned delivery scheduling requirements more than other methods from the viewpoint of optimality as well as simplicity.

关键词： Gallium Computational modeling

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E-cost estimation using expert judgment and COCOMO II

E-cost estimation using expert judgment and COCOMO II

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International Symposium on information technology, ITSim

作者： Zulkefli Bin Mansor Zarinah Mohd Kasirun Noor Habibah Hj Arshad Saadiah Yahya Department of Computer Science Faculty of Industrial Information Technology Universiti Industri Selangor Selangor Darul Ehsan Malaysia Department of Software Engineering Faculty of Computer Science and Information Technology University Malaya Kuala Lumpur Malaysia System Science Studies Faculty of Computer Science and Mathematics Universiti Teknologi Mara Selangor Darul Ehsan Malaysia Computer Technology and Networking Studies Faculty of Computer Science and Mathematics Universiti Teknologi Mara Selangor Darul Ehsan Malaysia

The accuracy and efficiency of cost estimation methodology for web-based application is very important for software development as it would be able to assist the management team to estimate the cost. Furthermore, it will ensure that the development of cost is within the planned budget and provides a fundamental motivation towards the development of web-based application project. The literature review reveals that COCOMO II provides accurate result because more variables are considered including reuse parameter. The parameter is one of the essential variables in estimating the cost in web-based application development. This research investigates the feasibility to combine and implement COCOMO II and expert judgment technique in a tool called WebCost. In estimating a cost, the tool considers all variables in COCOMO II and requires expert judgment to key-in the input of the variables such as project size, project type, cost adjustment factor and cost driven factor. Developed in JAVA, WebCost is proven able to estimate cost and generate its estimation result. The usability evaluation conducted had shown that WebCost is usable when compared with other tools, it has its own advantages. WebCost is evidence suitable for everyone especially the project managers, software practitioners or software engineering student in handling the cost estimation tasks.

关键词： Variable speed drives Book reviews Estimation Accuracy Computer aided software engineering

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Efficient scheduling of reliable automotive multi-core systems with pd2 by weakening erfair tasksystem requirements

Efficient scheduling of reliable automotive multi-core syste...

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Automotive - Safety and Security 2010: Sicherheit und Zuverlassigkeit fur Automobile informationstechnik

作者： Deubzer, Michael Margull, Ulrich Mottok, Jurgen Niemetz, Michael Wirrer, Gerhard University of Applied Sciences Regensburg LaS3 - Laboratory for Safe and Secure Systems Faculty of Electrical Engineering and Information Technology P.O. Box 12 03 27 D-93025 Regensburg Germany 1 Mal 1 Software GmbH Maxstraße 31 D-90762 Fürth Germany Continental Automotive GmbH P.O. Box 100943 D-93009 Regensburg Germany

Partly Proportionate fair (Partly-Pfair) scheduling, which allows task migration at runtime and assigns each task processing time with regard to its weight, makes it possible to build highly efficient embedded multi-core systems. Due to its non-work-conserving behavior, which might leave the CPU idle even when tasks are ready to execute, tasks finish only shortly before their deadlines are reached. Benefits are lower task jitter, but additional workload, e.g. through interrupts, can lead to deadline violations. In this paper we present a work-conserving extension of Partly-Pfair scheduling, called PERfair scheduling and the algorithm P-ERfair-PD2 which applies Pfair modifications used for Partly-Pfair on the concept of ERfairness and PD2 policies. With a simulation based schedulability examination we show for multiple time base (MTB) task sets that P-ERfair- PD2 has the same performance as Partly-Pfair-PD2. Additionally, we show that P-ERfair- PD2 has a much higher robustness against perturbations, and therefore it is well suited for embedded domains, especially for the Automotive domain.

关键词： Scheduling

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An evolutionary multi-objective approach for dynamic mission planning

An evolutionary multi-objective approach for dynamic mission...

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Congress on Evolutionary Computation

作者： Lam Thu Bui Zbignew Michalewicz Department of Software Engineering Faculty of IT Quy Don University Vietnam Polish Japanese Institute of Information Technology Warsaw Poland School of Computer Science University of Adelaide Adelaide SA Australia Institute of Computer Science Polish Academy of Sciences Warsaw Poland

In this paper, we propose a computational approach for adaptation in mission planning, an important process in the chain of command and control. In this area, it has been highly regarded that military missions are often dynamic and uncertain. This characteristic comes from the nature of battlefields where the factors of enemies and terrains are not easy to be determined. Hence, it is necessary to generate plans that can adapt quickly to the changes during the missions, while avoiding paying a high cost. In addressing such an adaptation process, the issue of multi-objectivity can not be avoided. Our approach first mathematically models the dynamic planning problem with two criteria: the mission execution time and the cost of operations. Based on this quantification, we introduce an evolutionary multi-objective mechanism to adapt the current solution to new situations resulted from changes. We carried out a case study on this newly proposed approach. A modified military scenario of a mission was used for testing. The obtained results strongly support our proposal in finding adaptive solution dealing with the changes.

关键词： Planning Optimal scheduling Uncertainty Robustness Evolutionary computation Markov processes

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Quantum State Reduction for Universal Measurement Based Computation

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Physical Review Letters 2010年第2期105卷 020502-020502页

作者： Xie Chen Runyao Duan Zhengfeng Ji Bei Zeng Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts USA Centre for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology University of Technology Sydney NSW Australia Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Perimeter Institute for Theoretical Physics Waterloo Ontario Canada State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Institute for Quantum Computing University of Waterloo Waterloo Ontario Canada Department of Combinatorics and Optimization University of Waterloo Waterloo Ontario Canada

Measurement based quantum computation, which requires only single particle measurements on a universal resource state to achieve the full power of quantum computing, has been recognized as one of the most promising models for the physical realization of quantum computers. Despite considerable progress in the past decade, it remains a great challenge to search for new universal resource states with naturally occurring Hamiltonians and to better understand the entanglement structure of these kinds of states. Here we show that most of the resource states currently known can be reduced to the cluster state, the first known universal resource state, via adaptive local measurements at a constant cost. This new quantum state reduction scheme provides simpler proofs of universality of resource states and opens up plenty of space to the search of new resource states.

关键词： Quantum computers

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Color correction and geometric calibration for multi-view images with feature correspondence

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Optoelectronics Letters 2009年第3期5卷 232-235页

作者：邵枫蒋刚毅郁梅 Faculty of Information Science and Engineering Ningbo University the State Key Lab. of New Software Technology Nanjing University

Color and geometry inconsistency between different views is an urgent problem in multi-view imaging *** this paper,we present a color correction and geometric calibration method for multi-view images on the basis of feature correspondences between ***,keypoints in views are detected by using scale invariant feature transform,and accurately matched by bi-directional feature matching between difference *** multiplicative and additive errors between matching keypoints are calculated to achieve color *** addition,an affine transformation between minimum cost matching keypoints is established to achieve geometric *** experimental results verify the effectiveness of the proposed method in color correction and geometric calibration,and a higher coding efficiency is obtained.

关键词：几何校正色彩校正多视角图像特征匹配校正方法对应关系特征变换

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