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Supply chain system complexity analysis

Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 2008年第SUPPL.期28卷 132-141页

作者： Wang, Hong-Wei Guo, Min Institute of Systems Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

Supply chain is a complex system. The complexity of supply chain can be categorized into two kinds: the complexity of supply chain components as well as the complexity of the supply chain organizations, and both information uncertainty with system dynamics are the main reasons that lead to supply chain complexity. Concerning supply chain complexity, we review the related researching approaches in the literature from uncertainty, the measure of supply chain complexity as well as the dynamic analysis of the supply chain (including dynamic games), and give suggestions in the future research.

关键词： Supply chains

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Automatic blurry pictures deletion tool for digital cameras

Automatic blurry pictures deletion tool for digital cameras

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5th International Conference on Visual Information Engineering, VIE 2008

作者： Tsomko, E. Hyoung, Joong Kim Paik, Joonki Yeo, In-Kwon Department of Information Management and Security CIST Korea University Korea Republic of Image Processing and Intelligent Systems Laboratory Chung-Ang University Korea Republic of Department of Statistics Sookmyung Women's University Korea Republic of

ISBN: (纸本)9780863419140

In this paper we present a new simple and efficient method for real-time automatic detecting and deleting blurry pictures while they are stored in digital cameras. Many digital cameras are equipped with auto-focusing and motion compensation functions to help the users take well-focused pictures. However, digital images can be degraded by limited contrast, inappropriate exposure, imperfection of autofocusing or motion compensating devices, limited knowledge of amateur photographers, and so on. In order to detect blurry images immediately after taking the pictures by digital cameras and delete them a reliable tool for image quality estimation is needed. This paper presents a new tool for automatic blurry pictures detection and deletion in digital cameras. The main conception used for this tool is the ratio value between a pre- and original images. The algorithm is also based on the prediction-error variance, and demonstrates its feasibility by using extensive experiments. This method is fast, easy to implement and accurate. Regardless of the detection accuracy, the proposed tool in this paper is not demanding on computation time. ©. ©2008 The Institution of Engineering and Technology.

关键词： Digital cameras

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Co-scheduling model and algorithm of the three gorges-gezhou dam based on GA

Co-scheduling model and algorithm of the three gorges-gezhou...

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7th World Congress on intelligent Control and Automation (WCICA 2008), vol.10

作者： Xiaoping Wang Huan Qi Henghui Xiao Xiaopan Zhang Key Laboratory of Image Processing and Intelligent Control Institute of Systems Engineering Huazhong University of Science and Technology Wuhan China

This paper provided a mathematic model for Three Gorges-Gezhou dam co-scheduling problems, based on full analysis of Three Gorges-Gezhou dam's actual needs, to maximize the total throughput of Three Gorges-Gezhou dam, to maximize the utilization ratio of shiplock area and minimize the total navigation shiplock waiting time under eight constraint conditions. Then a scheduling algorithm based on GA was pointed out. The three gorges south lock, Gezhou dam lock, the three gorges north lock were optimization searched separately in the GA algorithm. The scheduling results of the three gorges south lock were taken as the origin of the whole plan period, and also were taken as the basis of the Gezhou dam scheduling together with the ship applied information. The scheduling results of Gezhou dam were regarded as the basis of the three gorges north lock scheduling together with the ship applied information, so repeated, until the optimal scheduling results were given, or the most iterative step was reached. The applied result shows that making a period plan of two dam five lock only needs 2 minutes, and the plan is quite effective according to practical application.

关键词： Genetic algorithm The three gorges-gezhou dam Co-scheduling Mathematical model

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Research on the multi-objective resource-constrained transport task scheduling problem

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Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology 2008年第5期30卷 155-158页

作者： Wang, Jian Wang, Hong-Wei Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

A resource-constrained transport task scheduling problem (RCTTSP) with two optimal objectives was considered, and a multi-objective hybrid genetic algorithm (HGA) was proposed. The proposed algorithm used the serial scheduling method to initialize the population and evaluated the individual. It used the weighted sum method and the rank-based fitness assignment method to assign the individual fitness. Firstly, this paper described the multi-objective RCTTSP and presented the principle of the HGA, and then developed the algorithm to implement several experimental cases with different problem size;lastly the effectiveness and efficiency of the algorithm were compared. The numerical result indicated that the proposed multi-objective HGA can resolve the proposed multi-objective RCTTSP efficiently.

关键词： Hybrid genetic algorithm Multi-objective Resource-constrained Serial scheduling Transport task scheduling

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Localized content based image retrieval by multiple instance active learning

Localized content based image retrieval by multiple instance...

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IEEE International Conference on image processing

作者： Dan Zhang Fei Wang Zhenwei Shi Changshui Zhang State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology (TNList)Department of Automation Tsinghua University Beijing China Image Processing Center School of Astronautics Beihang University Beijing China

In this paper, we propose two general multiple instance active learning (MIAL) algorithms, multiple-instance active learning with a simple margin strategy (S-MIAL) and multiple- instance active learning with fisher information (F-MIAL), and apply them to the relevance feedback in localized content based image retrieval (LCBIR). S-MIAL considers the most ambiguous picture as the most valuable one, while F-MIAL can utilize the fisher information and analyze the value of the unlabeled pictures by assigning different labels to them. We show that F-MIAL can be integrated more naturally into the multiple instance learning scenario. In experiments, we will show their superior performances on some real-world image datasets.

关键词： image retrieval Content based retrieval Feedback Algorithm design and analysis Information retrieval Machine learning Bismuth Laboratories Space technology intelligent systems

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Active shape model-based gait recognition using infrared images

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 1-12页

作者： Kim, Daehee Lee, Seungwon Paik, Jooki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of

We present a gait recognition system using infra-red (IR) images. Since an IR camera is not affected by the intensity of illumination, it is able to provide constant recognition performance regardless of the amount of illumination. Model-based object tracking algorithms enable robust tracking with partial occlusions or dynamic illumination. However, this algorithm often fails in tracking objects if strong edge exists near the object. Replacement of the input image by an IR image guarantees robust object region extraction because background edges do not affect the IR image. In conclusion, the proposed gait recognition algorithm improves accuracy in object extraction by using IR images and the improvements finally increase the recognition rate of gaits.

关键词： image enhancement

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Automatic blurry pictures deletion tool for digital cameras

Automatic blurry pictures deletion tool for digital cameras

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2008 5th International Conference on Visual Information Engineering (VIE 2008)

作者： Elena Tsomko Hyoung Joong Kim Joonki Paik In-Kwon Yeo Department of Information Management and Security CIST Korea University South Korea Image Processing and Intelligent Systems Laboratory Chung-Ang University South Korea Department of Statistics Sookmyung Women''s University South Korea

In this paper we present a new simple and efficient method for real-time automatic detecting and deleting blurry pictures while they are stored in digital cameras. Recently, many digital cameras are equipped with auto-focusing and motion compensation functions to help the users take well-focused pictures. However, digital images can be degraded by limited contrast, inappropriate exposure, imperfection of autofocusing or motion compensating devices, limited knowledge of amateur photographers, and so on. In order to detect blurry images immediately after taking the pictures by digital cameras and delete them a reliable tool for image quality estimation is needed. This paper presents a new tool for automatic blurry pictures detection and deletion in digital cameras. The main conception used for this tool is the ratio value between a pre- and original images. The algorithm is also based on the prediction-error variance, and demonstrates its feasibility by using extensive experiments. This method is fast, easy to implement and accurate. Regardless of the detection accuracy, the proposed tool in this paper is not demanding on computation time.

关键词：

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A study on wavelet-based edge detection for improved stereo matching

A study on wavelet-based edge detection for improved stereo ...

引用

International Conference on Control, Automation and systems ( ICCAS)

作者： Ji-hye Jeon Yoon-gi Yang Joon-ki Paik Chang-su Lee Department of Electronic Engineering University of Suwon Hwaseong South Korea Department of Information Communication Engineering University of Suwon Hwaseong South Korea Image Processing and Intelligent Systems Laboratory Chung-Ang University Seoul South Korea

Development of stereopsis technology that gives reality is an interesting research area for a long time. Stereopsis technology expresses actuality with effect of two eyes. Correct stereo matching depends on the exact estimation of image disparity that contains depth information. Wavelet transform can be applied to analyze signals in stereo vision, but related research is insufficient. In this paper, we propose a fast and correct stereo image matching method through edge detection that uses multi-resolution wavelet transform. Also, we analyze the effect of noise during the edge detection process, and make a comparison with traditional methods.

关键词： image edge detection Multiresolution analysis Wavelet analysis Wavelet transforms Signal analysis Frequency Feature extraction Information analysis Low pass filters Automatic control

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Ringing artifact removal in digital restored images using multi-resolution edge map

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 95-106页

作者： Kim, Sangjin Jun, Sinyoung Lee, Eunsung Shin, Jeongho Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of Department of Web Information Engineering Hankyong National University 67 Seokjeong-Dong Anseong Kyonggi-Do 456-749 Korea People's Democratic Rep

This paper presents a novel approach to reducing ringing artifact in digitally restored images by using multi-resolution edge map. The performance of reducing ringing artifacts depends on the accurate classification of the local features in the image. The discrete wavelet transform (DWT) provides effective insight into both spatial and frequency characteristics of an image. Through the DWT analysis, we show that ringing artifacts can be suppressed to a great extent by using multiple-level edge maps, which provide enhanced matching to local edges. Base on the experimental results, the proposed method can reduce ringing artifacts with minimized edge degradation by using DWT analysis.

关键词： Discrete wavelet transforms

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Comparative analysis of wavelet-based scale-invariant feature extraction using different wavelet bases

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 29-38页

作者： Lim, Joohyun Kim, Youngouk Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of 401-402 B/D 193 Yakdae-Dong WonMi-Gu Puchon-Si KyungGi-Do 420-140 Korea People's Democratic Rep

In this paper, we present comparative analysis of scale-invariant feature extraction using different wavelet bases. The main advantage of the wavelet transform is the multi-resolution analysis. Furthermore, wavelets enable localization in both space and frequency domains and high-frequency salient feature detection. Wavelet transforms can use various basis functions. This research aims at comparative analysis of Haar, Daubechies and Gabor wavelets for scale-invariant feature extraction. Experimental results show that Gabor wavelets outperform better than Haar, Daubechies wavelets in the sense of both objective and subjective measures.

关键词： Feature extraction

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