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A novel method of constructing high-dimensional digital chaotic systems on finite-state automata

Chinese Physics B 2020年第9期29卷 233-243页

作者： Jun Zheng Han-Ping Hu School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Image Information Processing and Intelligent Control Ministry of EducationWuhan 430074China

When chaotic systems are implemented on finite precision machines, it will lead to the problem of dynamical degradation. Aiming at this problem, most previous related works have been proposed to improve the dynamical degradation of low-dimensional chaotic maps. This paper presents a novel method to construct high-dimensional digital chaotic systems in the domain of finite computing precision. The model is proposed by coupling a high-dimensional digital system with a continuous chaotic system. A rigorous proof is given that the controlled digital system is chaotic in the sense of Devaney's definition of chaos. Numerical experimental results for different high-dimensional digital systems indicate that the proposed method can overcome the degradation problem and construct high-dimensional digital chaos with complicated dynamical properties. Based on the construction method, a kind of pseudorandom number generator (PRNG) is also proposed as an application.

关键词： high-dimensional digital chaotic system dynamical degradation anti-control pseudorandom number generator

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Re-ranking image search results by multiscale visual saliency model

Re-ranking image search results by multiscale visual salienc...

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2010 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2010

作者： Huang, Jun Yang, Xiaokang Zhang, Rui Fang, Xiangzhong Institute of Image Communication and Information Processing Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424444625

The paper focuses on two mechanisms, multiscale relevance and visual saliency, in web image search. First, in most current web image search engines, such as Google image Search, Yahoo image Search and so on, people judge the relevance of search results by the thumbnails and then click through the thumbnails to check if the corresponding image is really relevant. Basically the thumbnail and the corresponding image give the multiscale representations of the image. The second is that from visual point of view, it is obvious that salient images would be easier to catch users' eyes and more likely to be clicked than cluttered ones in low-level vision. In this paper, we build a multiscale saliency model and apply it to re-rank the results from web image search engines. Experimental results show that the model can achieve an average precision (AP) [1] of as high as 97%, and it improves the results of Google image search significantly.

关键词： Search engines

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Unequal decoding power allocation for efficient video transmission

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Journal of Shanghai University(English Edition) 2010年第1期14卷 60-65页

作者：王永芳余松煜杨小康张兆杨 Key Laboratory of Advanced Display and System Application School of Communication and Information Engineering Shanghai University Institute of Image Communication and Information Processing Research Shanghai Jiao Tong University

We present an unequal decoding power allocation （UDPA） approach for minimization of the receiver power consumption subject to a given quality of service （QoS）, by exploiting data partitioning and turbo decoding. We assign unequal decoding power of forward error correction （FEC） to data partitions with different priority by jointly considering the source coding, channel coding and receiver power consumption. The proposed scheme is applied to H.264 video over additive white Gaussion noise （AWGN） channel, and achieves excellent tradeoff between video delivery quality and power consumption, and yields significant power saving compared with the conventional equal decoding power allocation （EDPA） approach in wireless video transmission.

关键词： power allocation turbo code data partition joint source and channel code

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Immunodominance and clonal selection inspired multiobjective clustering

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Progress in Natural Science:Materials International 2009年第6期19卷 751-758页

作者： Wenping Ma , Licheng Jiao, Maoguo Gong key laboratory of Intelligent Perception and image Understanding of the Ministry of Education of China, Institute of Intelligent Information processing, Xidian University, Xi’an 710071, China [a]Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi’an 710071 China

The biological immune system is a highly parallel and distributed adaptive system. The information processing abilities of the immune system provide important insights into the field of computation. Based on immunodominance in the biological immune system and the clonal selection mechanism, a novel data mining method, Immune Dominance Clonal Multiobjective Clustering algorithm (IDCMC), is presented. The algorithm divides an individual population into three sub-populations according to three different measurements, and adopts different evolution and selection strategies for each sub-population. The update of each sub-population, however, is not carried out in isolation. The periodic combination operation of the analysis of the three sub-populations represents considerable advantages in its global search ability. The clustering task is a multiobjective optimization problem, which is more robust with respect to the variety of cluster structures of different datasets than a single-objective clustering algorithm. In addition, the new algorithm can determine the number of clusters automatically, which should identify the most promising clustering solutions in the candidate set. The experimental results, using artificial datasets with different manifold structure and handwritten digit datasets, show that the IDCMC outperforms the PESA-Ⅱ-based clustering method, the genetic algorithm-based clustering technique and the original K-Means algorithm in solving most of the problems tested.

关键词： Artificial immune systems Multiobjective optimization Clustering Unsupervised learning

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Class-specific Artificial Immune Recognition method for Hyperspectral image classification

Class-specific Artificial Immune Recognition method for Hype...

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2012 IEEE 11th International Conference on Signal processing(ICSP 2012)

作者： Qingjie Meng Yanning Zhang Weiwei Yuemei Ren Hongwei She Shaanxi Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University

ISBN: (纸本)9781467321969

Artificial immune recognition system (AIRS), as an efficient and successful computational intelligence method, has been widely used for classification. However, this method is seldom used for hyperspectral image classification due to its complexity. To address this problem, a class-specific model based on AIRS, named as Single Class Learning Network AIRS (SCLN-AIRS), is proposed in this paper to improve the classification accuracy for hyperspectral images compared with AIRS based method. For SCLN-AIRS, the outliers of training samples from irrelevant classes are ignored first. Then, a novel MC evolution strategy is proposed to prevent memory cells being affected by other ones from different classes. In the novel model, the calculation complexity is guaranteed by the fact that the class is expressed only by few memory cells while classification result is improved. Experimental results on AVIRIS dataset demonstrate the effectiveness of the proposed method for hyperspectral image classification.

关键词： artificial immune recognition system (AIRS) hyperspectral image superveised classification

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A survey of video object tracking

International Journal of Control and Automation

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International Journal of Control and Automation 2015年第9期8卷 303-312页

作者： Li, Meng Cai, Zemin Wei, Chuliang Yuan, Ye Department of Electronic Engineering College of Engineering Shantou University China Guangdong Provicial Key Laboratory of Digital Signal and Image Processing TechniquesChina China

Due to the numerous important applications of video surveillance and monitoring, video object tracking has been an active research topic in the last decade. This paper makes a survey of approaches to high quality object tracking by looking at theoretical backgrounds and practical results, which are categorized into four groups. The principle, the evolution processes and the latest progresses of these approaches are identified to form a conclusion for future directions of object tracking algorithms © 2015 SERSC.

关键词： Surveys

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A novel quantum-inspired immune clonal algorithm with the evolutionary game approach

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Progress in Natural Science:Materials International 2009年第10期19卷 1341-1347页

作者： Qiuyi Wu,Licheng Jiao,Yangyang Li,Xiaozheng Deng key laboratory of Intelligent Perception and image Understanding of Ministry of Education of China,Institute of Intelligent Information processing,Xidian University,Xi’an 710071,China [a]Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi’an 710071 China

The quantum-inspired immune clonal algorithm(QICA) is a rising intelligence *** on evolutionary game theory and QICA,a quantum-inspired immune algorithm embedded with evolutionary game(EGQICA) is proposed to solve combination optimization *** this paper,we map the quantum antibody’s finding the optimal solution to player’s pursuing maximum utility by choosing strategies in evolutionary *** dynamics is used to model the behavior of the quantum antibody and the memory mechanism is also introduced in this *** results indicate that the proposed approach maintains a good diversity and achieves superior performance.

关键词： Game theory Evolutionary game Replicator dynamics Quantum-inspired optimization Artificial immune system

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A high-precision framework for teeth instance segmentation in panoramic radiographs

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Displays 2025年 89卷

作者： Ma, Yanning Qu, Zhiyuan Liu, Xulin Lin, Jiaman Jin, Zuolin State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration National Clinical Research Center for Oral Diseases Shaanxi Clinical Research Center for Oral Diseases Department of Orthodontics School of Stomatology The Fourth Military Medical University Shaanxi Xi'an710000 China Shanxi Medical University School and Hospital of Stomatology Taiyuan China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai200011 China

Panoramic radiography plays a vital role in dental diagnosis and treatment, characterized by low radiation exposure, cost-effectiveness, and high accessibility, rendering it suitable for initial screening of oral diseases. However, inexperienced dentists may find it challenging to accurately interpret the information presented in panoramic images regarding the teeth, jaw bone, and maxillary sinus, which can result in missed diagnoses or misdiagnoses. This study proposed a deep learning-based framework for segmenting teeth and alveolar bone from panoramic radiographs and also provided examples of its application for disease diagnosis. This study incorporated relevant medical knowledge when designing algorithms, including graphic optimization algorithms and medical optimization algorithms. The experimental results indicated that the proposed segmentation method was very accurate in segmenting teeth and alveolar bone. The proposed method also improved the accuracy of disease diagnosis in panoramic radiographs, further demonstrating the clinical value of the method for segmenting teeth and alveolar bone. © 2025

关键词： Mammography

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An Adaptive Regulation Problem and Its Application

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International Journal of Automation and computing 2017年第2期14卷 221-228页

作者： Yuan Jiang Ji-Yang Dai Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang 330063 China School of Information Engineering Nanchang Hangkong University Nanchang 330063 China

This paper studies an adaptive regulation problem for the modified FitzHugh-Nagumo neuron model under external electrical stimulation. We first present the solution of the global robust output regulation problem for output feedback system with an uncertain exosystem which models the external electrical stimulation with unknown frequency and amplitude. Then, we show that the robust control problem for the modified FitzHugh-Nagumo neuron model can be formulated as the global robust output regulation problem and the solvability conditions for the output regulation problem for the modified FitzHugh-Nagumo neuron model are all satisfied. Then, we apply the obtained output regulation result to constructing an output feedback control law for the modified FitzHugh-Nagumo neuron model to achieve global stability of the closed-loop system in the presence of uncertain parameters and external stimulus. An example is given to show that the proposed algorithm can completely reject the external electrical stimulation.

关键词： Control theory Lyapunov methods internal model principle modified FitzHugh-Nagumo model.

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Theoretical verification of intermolecular hydrogen bond induced thermally activated delayed fluorescence in SOBF-OMe

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Chinese Physics B 2021年第12期30卷 378-384页

作者： Mu-Zhen Li Fei-Yan Li Qun Zhang Kai Zhang Yu-Zhi Song Jian-Zhong Fan Chuan-Kui Wang Li-Li Lin Shandong Key Laboratory of Medical Physics and Image Processing&Shandong Provincial Engineering and Technical Center of Light Manipulations School of Physics and ElectronicsShandong Normal UniversityJinan 250358China

Thermally activated delayed fluorescence(TADF)molecules have attracted great attention as high efficient luminescent *** of TADF molecules possess small energy gap between the first singlet excited state(S_(1))and the first triplet excited state(T_(1))to favor the up-conversion from T_(1)to S_(1).In this paper,a new TADF generation mechanism is revealed based on theoretical *** systematic study of the light-emitting properties of SOBF-OMe in both toluene and in aggregation state,we find that the single SOBF-OMe could not realize TADF emission due to large energy gap as well as small up-conversion rates between S_(1)and T_(1).Through analysis of dimers,we find that dimers with intermolecular hydrogen bond(H-bond)are responsible for the generation of TADF,since smaller energy gap between S_(1)and T_(1)is found and the emission wavelength is in good agreement with experimental *** emission properties of SOBF-H are also studied for comparison,which reflect the important role of *** theoretical results agree ith experimental results well and confirm the mechanism of H-bond induced TADF.

关键词： organic light-emitting diodes thermally activated delayed fluorescence intermolecular hydrogen bond decay rates

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