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

作者： Yufang Huang Jin Xu Zhen Cheng Zhihua Chen Xuncai Zhang 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

Algorithmic self-assembly, a generalization of crystal growth, has been proposed as a mechanism for the bottom-up fabrication of autonomous DNA computation. In theory, growth can be programmed by designing a set of molecular tiles with binding interactions that enforce assembly rules. There are many interesting applications of the reordering problem in Mathematics, as well as Computer Sciences. It is a useful primitive operation for computation and construction in the field of science and engineering. It is worth exploring more efficient approach to solve this problem. In this paper, we provide a description of a novel method for the reordering problem by use of the programmable tile assembly model. We propose the thought of block assembly model which takes full advantage of the huge parallelism inherent in the tile assembly. On the basis of the structural property, we delicately devise a rule to produce a long reporter strand which can connect all the inputs of the given problem with the final results. It is proved that this method can be extended to any reordering problem with arbitrary size in theory. The great advantage of our schema is that it only needs a constant number of tile types and in time linear with the size of the input problem to solve any reordering problem.

关键词： Tiles Assembly Self-assembly DNA computing Molecular computing Fabrication Logic Biology computing Laboratories intelligent control

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Online statistical estimation methods for the internal resistance of nickel-hydrogen batteries

Online statistical estimation methods for the internal resis...

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International Conference on Telecommunications Energy (INTELEC)

作者： Chang-hao Piao Gai-hui Lei Jin Wang chongdu Cho Research Center of Energy Electronics Chongqing University of Posts and Communications Chongqing China Key Laboratory of Network control & Intelligent Instrument Chongqing University of Posts and Communications Chongqing China Department of mechanical engineering Inha University Incheon S. Korea

ISBN: (纸本)9781424424900

Basing on the application of the dynamic batteries, the on-line resistance of nickel metal hydride batteries is calculated by using a statistical method in the article. By the comparison of statistics resistance and pulse resistance at different points of SOC (state of charge), the validity of the statistical method for the resistance of nickel matel hydride power battery is studied. Through the experiment,it shows that,the statical method is successful for the on-line resistance calculation of nickel matel hydride power battery in the different SOC. And the relative error is affected by the discretization and symmetry of the current: if the discretization or symmetry increases, the relative error reduces.

关键词： Batteries Voltage Vehicle dynamics Statistical analysis Nickel Monitoring Sampling methods Error correction Automobiles Electrical resistance measurement

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Classification accuracy of an imagined-movements mental task set for brain-machine interface

Classification accuracy of an imagined-movements mental task...

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2nd International Conference on Bioinformatics and Biomedical engineering, iCBBE 2008

作者： Abundo, Michael Lochinvar S. Marco, Eliezer A. Mempin, Gino Francisco R. Talampas, Marc Caesar R. Sison, Luis G. Instrumentation Robotics and Control Laboratory Department of Electrical and Electronics Engineering University of the Philippines Diliman Philippines

ISBN: (纸本)9781424417483

We study the classification accuracy of a neural network (NN) classifier for a Brain-Machine Interface (BMI) system that uses an imagined-movements mental task set and compare the performance of the classifier when the user is subjected to a non-moving (static) reference frame (SRF) and to a moving (dynamic) reference frame (DRF) while performing the mental tasks. We use the band powers and power differences of electroencephalogram (EEG) signals recorded from 8 surface electrodes. Results show that tasks involving imagined movements are the most immune to the SRF-DRF switch but may not be the most appropriate BMI protocol for BMI classification. © 2008 IEEE.

关键词： Brain computer interface

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Annual business and news: Beginning the 32nd year

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Journal of Guidance, control, and Dynamics 2009年第1期32卷 1-7页

作者： Schmidt, George T. Akella, Maruthir Balakrishnan, S.N. Campbell, Mark E. Clarke, John-Paul Colgren, Richard D. Crassidis, John L. Doman, David B. Eke, Fidelis O. Enns, Russell J. Gawronski, Wodek Hablani, Hari B. Leitner, Jesse A. Ping, Lu MacDonald, Malcolm McFarland, Michael B. Melton, Robert G. Mitchell, James Mukhopadhyay, Vivekanand Sasiadek, Jurek Z. Schaub, Hanspeter Wise, Kevin A. United States NATO Systems and Electronics Technology Panel Lecture Series on Low Cost Navigation Sensors and Integration Technology U.S. Air Force Office of Scientific Research United States United States American Automatic Control Council United States Sibley School of Mechanical and Aerospace Engineering Cornell University United States School of Aerospace Engineering Air Transportation Laboratory Georgia Institute of Technology United States Lockheed Martin Aeronautics Company Palmdale CA United States United States Wright-Patterson Air Force Base Dayton OH United States Davis United States Apache Longbow Jet Propulsion Laboratory California Institute of Technology United States GSFC United States Department of Aerospace Engineenng Iowa State University United States Raytheon Electronic Systems United States Department of Aerospace Engineering Pennsylvania State University United States NASA Langley Research Center United States Indian Institute of Technology India Department of Aerospace Engineering Carleton University Canada International Federation of Automatic Control Robotics Technical Committee Joint Robotics and Control Systems Societies Chapter Ottawa Canada X-45 Joint-Unmanned Combat Air System Program

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MotesArt: Wireless sensor network for monitoring relative humidity and temperature in an art gallery

MotesArt: Wireless sensor network for monitoring relative hu...

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IEEE International Conference on Networking, Sensing and control

作者： Lee, Agnes Meiling C. Angeles, Chester T. Talampas, Marc Caesar R. Sison, Luis G. Soriano, Maricor N. Department of Electrical and Electronics Engineering University of the Philippines Diliman Philippines Project Grant # 060629OG Entitled Art Beyond Appearances: Physics Looks Into Paintings Instrumentation Robotics and Control Laboratory Department of Electrical and Electronics Engineering

ISBN: (纸本)9781424416851

Artworks in museums and art galleries are significantly affected by temperature and relative humidity (RH) variations. Significant variations in temperature can double the deterioration rate of paper and other canvases. Fluctuating levels of RH cause materials to corrode, shrink, swell, or warp. Monitoring and control of indoor climate conditions is thus crucial in ensuring the preservation of art collections. This study addresses the need for monitoring by designing and implementing a wireless sensor network composed of several specialized sensor nodes dumping temperature and RH readings to a base station computer. Each sensor node is equipped with an ASK transmitter and no ASK receiver. This design allows for lower power consumption and highly simplifies communication between the sensor node and base station. The MAC protocol used for the wireless sensor network is ALOHA without retransmissions. The wireless sensor network is evaluated in terms of cost, range, power consumption and packet error rate.

关键词： Base stations

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Multiple Mobile Robots Map Building Based on DSmT

Multiple Mobile Robots Map Building Based on DSmT

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IEEE Conference on robotics, Automation and Mechatronics

作者： Peng Li Xinhan Huang Min Wang Xiangjin Zeng Intelligent Control and Robotics Laboratory Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances overall system performance, especially in reducing calculations and communications, improving real-time performance. Meanwhile a general basic belief assignment function (gbbaf) is constructed to deal with the uncertain and imprecise information obtained by sonar sensors with the application of new information fusion method DSmT (dezert and smarandache theory) in the system and consideration of characteristics of sonar sensors. At last, Pioneer II mobile robots are used to carry out experiments of map building for both single-robot system and multi-robot system. The comparison of created ichnography with the real map testified the validity of DSmT and efficiency of multi-robot system for fusing imprecise information and map building proposed by this research.

关键词： Mobile robots Buildings Multirobot systems Sonar applications Sensor fusion Sensor phenomena and characterization Sensor systems and applications System performance Mobile communication Real time systems

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Neural Oscillator for Rhythmic Motion control of Biped Robot

Neural Oscillator for Rhythmic Motion Control of Biped Robot

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International Conference on Signal Processing, Communication and Networking (ICSCN)

作者： Carlos A. Acosta Calderon Mohan Rajesh Elara Changjiu Zhou Lingyun Hu Bharathiselvan Iniya Advanced Robotics and Intelligent Control Centre Advanced Robotics and Intelligent Control Centre Singapore polytechnics Singapore School ofElectrical and Electronics Department of Electronics and Communication Engineering SRM University Tamil Nadu India

This paper presents a structure of a neural oscillator which is used as Central Pattern Generator for a biped robot locomotion. This architecture is suitable to generate different rhythmic motions, according to the amplitude and frequency of the system. Results of the system on a simulated biped robot show the feasibility of this approach.

关键词： Oscillators Motion control Limit-cycles intelligent robots Signal generators Legged locomotion Neurons Humans Nonlinear dynamical systems intelligent control

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Classification Accuracy of an Imagined-Movements Mental Task Set for Brain-Machine Interface

Classification Accuracy of an Imagined-Movements Mental Task...

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International Conference on Bioinformatics and Biomedical engineering (ICBBE)

作者： Michael Lochinvar S. Abundo Eliezer A. Marco Gino Francisco R. Mempin Marc Caesar R. Talampas Luis S. Sison Instrumentation Robotics and Control Laboratory Department of Electrical and Electronics Engineering University of Philippines Diliman Philippines

关键词： Neural networks Electroencephalography Mobile robots Brain modeling Electrodes Robot control control systems Biological neural networks Switches Protocols

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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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Solving the 0–1 planning problem based on self-assembly of DNA tiles

Solving the 0–1 planning problem based on self-assembly of ...

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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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