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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Yufang Huang Zhen Cheng Jin Xu Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China School of Electronics Engineering and Computer Science Peking University Beijing China

DNA tile self-assembly has been proved to enable programmable manipulation of biological systems as a tool of molecular computation. It is mainly based on the property that is the spontaneous self-ordering of substructure into superstructure driven by annealing of Watson-Crick base-pairing DNA sequences. We take full advantage of the superiority of DNA tile self-assembly to construct a molecular computing system that implements a solution for the 0-1 planning problem. This algorithm can independently and simultaneously yield the data pool, containing all possible solutions when all basic operation tiles are designed beforehand. Then we can use some advanced bio-chemistry techniques to select the optimization solutions of the 0-1 planning problem. Our work has shown that it is possible to work with an exponential number of components to solve NP-complete problems. The method proposed here also can reduce the number of laboratory steps required for computation so that it can improve the computation speed.

关键词： Tiles DNA Self-assembly Planning Assembly Radiation detectors Biology

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Algorithm for elliptic curve Diffie-Hellman key exchange based on DNA tile self-assembly

Algorithm for elliptic curve Diffie-Hellman key exchange bas...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Zhen Cheng Yufang Huang Jin Xu Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China School of Electronics Engineering and Computer Science Peking University Beijing China

DNA tile self-assembly is a promising paradigm for nanotechnology. Recently, many researches show that computation by DNA tile self-assembly maybe scalable. In this paper, we propose the algorithm for elliptic curve Diffie-Hellman key exchange based on DNA tile self-assembly. First we give the DNA tile self-assembly model to compute the scalar multiplication, then we can successfully implement the Diffie-Hellman key exchange over elliptic curve by extracting the result strand of the scalar multiplication.

关键词： Tiles DNA Self-assembly Elliptic curves Assembly Computational modeling Algorithm design and analysis

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A Wearable Device for Repetitive Hand Therapy

A Wearable Device for Repetitive Hand Therapy

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2nd Biennial IEEE RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2008)

作者： Xing, Kexin Xu, Qi He, Jiping Wang, Yongji Liu, Zhongwei Huang, Xiaolin Huazhong Univ Sci & Technol Dept Control Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Arizona State Univ Harrington Dept Bioengn Tempe AZ 85287 USA Arizona State Univ Biodesign Interface Ctr Neural Interface Design Tempe AZ 85287 USA Huazhong Univ Sci & Technol Tongji Hosp Tongji Med Coll Dept Rehabilitat Med Wuhan Peoples R China

ISBN: (纸本)9781424428823

Intensive task-oriented repetitive physical therapies provided by individualized interaction between the patient and a rehabilitation specialist can improve hand motor performance in patients survived from stroke and traumatic brain injury. However, the therapy process is long and expensive and difficult to evaluate quantitatively and objectively. The goal of this research is to develop a novel wearable device for robotic assisted hand repetitive therapy. We designed a pneumatic muscle (PM) driven therapeutic device that is wearable and provides assistive forces required for grasping and release movements. The robot has two distinct degrees of freedom at the thumb and the ringers. The embedded sensors feedback position and force information for robot control and quantitative evaluation of task performance. It has the potential of providing supplemental at-home therapy in addition to in the clinic treatment.

关键词： Repetitive therapy fingers rehabilitation robot hand motor function

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Temporal pattern recognition using spiking neural networks for cortical neuronal spike train decoding

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IFAC Proceedings Volumes 2008年第2期41卷 5203-5208页

作者： Huijuan Fang Yongji Wang Jiping He Shan Liu Key Laboratory for Image Processing and Intelligent Control of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China (Tel: 86-27-87557284 The Harrington Department of Bioengineering and the Center for Neural Interface Design of The Biodesign Institute Arizona State University Tempe AZ 85287 USA

Most experimental and decoding algorithm studies of brain neural signals assume that neurons transmit information as a rate coding, but recent studies on the fast cortical computations indicate that temporal coding is probably a more biologically plausible scheme used by neurons. We introduce spiking neural networks (SNN) which consist of spiking neurons propagate information by the timing of spikes to analyze the cortical neural spike trains directly without temporal information lost. The SNN based temporal pattern classification is compared with the conventional artificial neural networks (ANN) based firing rate analysis. The results show that the SNN algorithm can achieve higher accuracy, which demonstrates that temporal coding is a viable code for fast neural information processing and the SNN approach is suitable for recognizing the temporal pattern in the cortical neural signals.

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Supply chain system complexity analysis

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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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An improved shuffled frog leaping algorithm with cognitive behavior

An improved shuffled frog leaping algorithm with cognitive b...

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World Congress on intelligent control and Automation (WCICA)

作者： Xuncai Zhang Xuemei Hu Guangzhao Cui Yanfeng Wang Ying Niu College of Electrical and Electronic Engineering Zhengzhou University of Light Industry Zhengzhou China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Department of Electrical Engineering Henan Polytechnic Institute Henan Nanyang China

Shuffled frog leaping (SFL) is a population based, cooperative search metaphor inspired by natural memetics. Its ability of adapting to dynamic environment makes SFL become one of the most important memetic algorithms. In order to improve the algorithmpsilas stability and the ability to search the global optimum, a novel dasiacognition componentpsila is introduced to enhance the effectiveness of the SFL, namely frog not only adjust its position according to the best individual within the memeplex or the global best of population but also according to thinking of the frog itself. To validate the improved SFL (ISFL) method, numerous simulations were conducted to compare SFL and ISFL using six benchmark problems for continuous and discrete optimization. According to the simulation results, adding the cognitive behavior to SFL significantly enhances the performance of SFL in solving the optimization problems, and the improvements are more evident with the scale of the problem increasing.

关键词： Optimization Evolution (biology) Cognition Algorithm design and analysis Heuristic algorithms Evolutionary computation Space exploration

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Design of a PSO Based Fuzzy Logic controller for Vessel Mooring Shifting System

Design of a PSO Based Fuzzy Logic Controller for Vessel Moor...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Zhen Huang Yongji Wang Department of Control Science and Engineering HuaZhong University of Science and Technology Wuhan Hubei China School of Automation Wuhan University of Technology Wuhan Hubei China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Department of Control Science andEngineering Huazhong University of Science슠and슠Technology Wuhan Hubei China

A fuzzy logic controller (FLC) is designed to achieve course-keeping for mooring shifting system, which is the main system of non self-propelled vessels. Compared with manual operation, the automatic operation and monitoring system with the FLC can perform higher precision and efficiency. The particle swarm optimization (PSO) algorithm is introduced to optimize the proposed FLCpsilas parameters. A series of simulation studies have been undertaken to compare the performance of a basis FLC and PSO based FLC. The results demonstrate that the latter has the better controlling quality.

关键词： Fuzzy logic control systems Automatic control Particle swarm optimization Fuzzy systems Design engineering Knowledge engineering Design automation Manuals Computerized monitoring

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Sensing environment with mobile robot by applying fuzzy-extended DSmT

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2008年第SUPPL. 1期36卷 113-115页

作者： Li, Xinde Huang, Xinhan Dai, Xianzhong Meng, Zhengda Key Laboratory of Image Processing and Intelligent Control Southeast University Nanjing 210096 China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Dezert-smarandache theory (DSmT) was extended with fuzzy theory by considering the different Fuzzy T-norm operators, in order to develop a more general and flexible combinational rule for more extensive application. At the same time, fuzzy-extended DSmT was applied to mobile robot's sensing environment with the help of new self-localization method based on δ neighboring field appearance matching and also the perception effect was compared with different T-norm operators. Finally, an effective approach to solv sensing fusion of uncertainty environment was found.

关键词： Mobile robots

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Computer aided diagnosis of fatty liver ultrasonic images based on support vector machine

Computer aided diagnosis of fatty liver ultrasonic images ba...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Guokuan Li Yu Luo Wei Deng Xiangyang Xu Aihua Liu Enmin Song School of Computer Science and Technology Key Laboratory for Image Processing & Intelligent Control of Ministry of Education Huazhong University of Science and Technology Wuhan China School of Computer Science and Technology Huazhong University of Science and Technology China Ultrasound Department Sixth Hospital of Wuhan City China

B-scan ultrasound is the primary means for the diagnosis of fatty liver. However, due to use of various ultrasound equipments, poor quality of ultrasonic images and physical differences of patients, fatty liver diagnosis is mainly qualitative, and often depends on the subjective judgment of technicians and doctors. Therefore, computer-aided feature extraction and quantitative analysis of liver B-scan ultrasonic images will help to improve clinical diagnostic accuracy, repeatability and efficiency, and could provide a measure for severity of hepatic steatosis. This paper proposed a novel method of fatty liver diagnosis based on liver B-mode ultrasonic images using support vector machine (SVM). Fatty liver diagnosis was transformed into a pattern recognition problem of liver ultrasound image features. According to the different characteristics of fatty liver and healthy liver, important image features were extracted and selected to distinguish between the two categories. These features could be represented by near-field light-spot density, near-far-field grayscale ratio, grayscale co-occurrence matrix, and neighborhood gray-tone difference matrix (NGTDM). A SVM classifier was modeled and trained using the clinical ultrasound images of both fatty liver and normal liver. It was then exploited to classify normal and fatty livers, achieving a high recognition rate. The diagnostic results are satisfactorily consistent with those made by doctors. This method could be used for computer-aided diagnosis of fatty liver, and help doctors identify the fatty liver ultrasonic images rapidly, objectively and accurately.

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An Algorithm of Visual Target Tracking on Monocular Camera Based on Particle Filter

An Algorithm of Visual Target Tracking on Monocular Camera B...

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27th Chinese control Conference

作者： Liu Guocheng Wang Yongji Wuhan Univ Sch Power & Mech Engn Wuhan 430072 Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430072 Peoples R China

ISBN: (纸本)9787900719706

An improved particle filter algorithm was presented to track a moving target under natural environment, in which the color histogram was integrated with the measurement model, the latest observations was taken into account and the system model is the second order autoregressive process. The proposed method can deal with rotation and scale transformation, variations in the light source and partial occlusions, and the tracked target can be rigid or non-rigid. The demonstration examples showed that the method can track the target with robustness in real-time.

关键词： Particle filter Visual tracking Color histogram

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