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2006 8th International Conference on Solid-State and Integrated Circuit Technology

作者： Yajie Chen Steve Hall Liam McDaid Octavian Buiu Peter Kelly Department of Electrical Engineering and Electronics University of LiverpoolLiverpool L69 3GJUK School of Computing and Intelligent Systems University of UlsterLondonderry BT48 7JLUK

ISBN: (纸本)1424401607

We describe a novel silicon synapse based on a two stage charge-coupled device with the weighting functionality integrated into the first stage by means of a floating gate. A spike input to the second gate allows the charge under the first gate to drift onto the floating diffusion output stage to produce a voltage *** defined synapses are assigned to the drain of the input MOSFET of the current mirror which serves as the point neuron. This configuration provides a summing function and allows the transfer of the *** neuron and its associated solid state synapses comprise a highly compact and scaleable neural cell which operates at very low power levels because of its charge coupled operation.

关键词： A Solid State Neuron for the Realisation of Highly Scaleable Third Generation Neural Networks Neuron

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Presenting a Novel Neural Network Architecture for Membrane Protein Prediction

Presenting a Novel Neural Network Architecture for Membrane ...

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IEEE International Conference on intelligent engineering systems (INES)

作者： S.K. Bose H. Kazemian A. Browne K. White Intelligent Systems Research Centre Department of Computing Communication Technology and Mathematics London Metropolitan University London UK Department of Computing School of Engineering and Physical Sciences University of Surrey Guildford UK Institute for Health Research and Policy Departments of Health and Human Sciences London Metropolitan University London UK

In the early seventies, it was clear that primary amino acid sequence and its local solution environment hold most of the information necessary for protein folding. Since then, scientists have been trying to solve the bioinformatics problem by constructing the tertiary three-dimensional structure of protein from the primary amino acid sequences by using computational biology. Success of several genome sequencing projects put considerable momentum in an effort to analyze these bio-chemically uncharacterized sequence. A handful of methods are developed to solve the problem of globular proteins prediction because of the easy availability of the data but the prediction of membrane protein structures is a key area that remains mainly unsolved. The problem of prediction is made topologically more complex by the presence of several transmembrane domains in many proteins, and current tools are far away from achieving significant reliability in prediction. But from a pharmaeconomical perspective, though it is the fact that membrane proteins constitute ~ 75% of possible targets for novel drugs but MPs are one of the most understudied groups of proteins in biomedical research. In this paper we present novel neural networks (NNs) architecture and algorithms for predicting membrane spanning regions from primary amino acids sequences by using their preference parameters

关键词： Neural networks Biomembranes Sequences Amino acids Bioinformatics Protein engineering Computational biology Genomics Availability Drugs

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DEVELOPMENT OF A ZERO MOMENT POINT SENSOR FOR A WALKING ROBOT

DEVELOPMENT OF A ZERO MOMENT POINT SENSOR FOR A WALKING ROBO...

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第二届亚洲机械电子学学术会议

作者： Makoto Shimojo Takuma Araki Takaaki Nishino Aigou Ming Masatoshi Ishikawa Mechanical Engineering and Intelligent Systems The University of Electro-Communications 1-5-1 Chofugaoka Chofu-shi 182-8585 JAPAN Mechanical Engineering and Intelligent Systems The University of Electro-Communications 1-5-1 Chofugaoka Chofu-shi 182-8585 JAPAN Mechanical Engineering and Intelligent Systems The University of Electro-Communications 1-5-1 Chofugaoka Chofu-shi 182-8585 JAPAN Mechanical Engineering and Intelligent Systems The University of Electro-Communications 1-5-1 Chofugaoka Chofu-shi 182-8585 JAPAN Department of Information Physics and Computing Graduate School of Information Science and Technology The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan

A sensor attached to the sole of the foot of a biped robot to detect a Zero Moment Point（ZMP）is proposed and basic experimental results are *** sensor simul- taneously detects the center position of a two-dimensional distributed load on the surface of the sensor and the total load of the *** sensor is sheet-like m form,lightweight（0.2g/cm）,offers a high-speed response （within 1 ms）,and needs a little wiring（four wires）.In the present paper,the principle of the above-described sensor and its characteristics are described,and the ZMP locus is shown for a walking biped robot with the attached sensors.

关键词： Tactile sensor Biped robot Zero Moment Point High-speed response

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Asynchronous event-based communication across Service Brokers

Asynchronous event-based communication across Service Broker...

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12th European Wireless Conference 2006 - Enabling Technologies for Wireless Multimedia Communications

作者： E. Koutsoloukas S. Kapellaki G. N. Prezerakos N. Tselikas I. S. Venieris D. I. Kaklamani Intelligent Communications and Broadband Networks Laboratory School of Electrical and Computer Engineering National Technical University of Athens 9 Heroon Polytechneioy str Zografou Greece Technological Education Institute of Piraeus Faculty of Technology Dpt. of Electronic Computing Systems Petrou Ralli & Thivon 250 122 44 Athens Greece

Modern communication environments tend to be complex, dynamic and highly distributed. For the provision of messaging in such environments multiple entities, providing different functionalities and located remotely from each other, must cooperate in order to perform different tasks and provide different kind of information for the completion of the service provision lifecycle. Within this paper we present an implementation analysis of the communication mechanism which was employed in a distributed brokerage framework for the provision of context aware personalized services. The paper focuses on the inter-broker communication mechanism which enables the transparent interaction between components located in different brokers. The mechanism was designed and implemented having in mind relevant requirements such as transparency, modularity and high availability. The design and implementation was based on web service practices and the SOAP protocol.

关键词： Laboratories

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Erratum to “An on-line algorithm for creating self-organizing fuzzy neural networks” [Neural Netw. 17 (10) (2004) 1477–1493]

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Neural Networks 2006年第6-7期19卷 974-974页

作者： Gang Leng Girijesh Prasad Thomas Martin McGinnity Intelligent Systems Engineering Laboratory School of Computing and Intelligent Systems University of Ulster at Magee Derry Northern Ireland BT48 7JL UK

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On the modelling and computation of nonlinear multibody cable systems

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International Journal of Computers and Applications 2006年第2期28卷 154-161页

作者： Fox, B. Jennings, L.S. Zomaya, A.Y. Institute of High Performance Computing Singapore Science Park 2 1 Sci. Pk. Rd. #01-01 The Capricorn 117528 Singapore Singapore Centre of Applied Dynamics and Optimization University of Western Australia Perth WA 6907 Australia School of Information Technologies University of Sydney Madsen Building F09 Sydney NSW 2006 Australia Institute of High Performance Computing Computational Solid Mechanics and Intelligent Engineering Systems Divisions Department of Mathematics University of Western Australia Perth School of Information Technologies University of Sydney

Lagrange's equations of motion are used to obtain a differential algebraic equation representing the nonlinear dynamics of cable systems approximated through the use of multibody modelling. The differential algebraic equation of index 3 is cast as an ordinary differential equation and integrated using the LSODAR software. The cable system consists of an arbitrary number of links between which restoring torques are placed to provide a damping effect. A cable car is introduced to ride upon the cable, where the initial conditions of the cable car system are determined by allowing the original cable system to fall into an equilibrium position. Graphs and animation indicate the chaotic behaviour of both multibody systems, and it is shown that the CPU time increases in a cubic nature as the number of bodies in the system increases. Finally, the accuracy of the results is investigated using a constraint compliance testing procedure.

关键词： Multi agent systems

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A symbiosis algorithm for robotic control

A symbiosis algorithm for robotic control

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Congress on Evolutionary Computation

作者： K.M. Ward M.N.H. Siddique L.P. Maguire T.M. McGinnity Intelligent Systems Engineering Laboratory School of Computing and Intelligent Systems University of Ulster Londonderr UK

An algorithm inspired by the biological phenomenon of symbiosis is presented in this paper. The genetic diversity obtained from the creation of symbiotic relationships is investigated and the symbiosis algorithm is applied to a robotic forward kinematics control problem. Compared with other evolutionary optimisation techniques, the symbiosis algorithm is shown to be an effective paradigm in discovering optimal solutions. Genetic diversity was found to be maintained in the absence of conventional genetic operators.

关键词： Symbiosis Robot control Biological cells Genetic mutations Evolution (biology) Organisms intelligent systems intelligent robots Kinematics systems engineering and theory

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Virtuality in architecture: A desisgn metaphor

Virtuality in architecture: A desisgn metaphor

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10th International Conference of the Association for Computer-Aided Architectural Design Research in Asia 2005, CAADRIA 2005

作者： Siddique, M.N.H. Mowla, Qazi A. Al Masum, Mohammad A. School of Computing and Intelligent Systems University of Ulster United Kingdom Department of Architecture Bangladesh University of Engineering and Technology Bangladesh Multimedia Interactive Design Innovations Limited London United Kingdom

Traditionally, architecture in its design process employs physical matter, requires physical presence and relies on real world environment using conventional methods of 2D depictions such as paper and pen or 3D representations such as physical models and communicates design ideas in verbal or text-based form. The conventional design process, for example an interior design, a residential house, a commercial complex or even urban design projects, follows the same hierarchy of activities. Efforts are made to the satisfaction of both parties to give the ideas of a physical shape through sketches, drafts and models which may take weeks, even months. Finally the project gets its final shape in a working drawing, 3D visualisation or model making. This process is time consuming and somewhat redundant. In recent years technology has offered architects a new tool - the virtual environment. Architects use virtual environment increasingly as device of communication and presentation of design intensions. Virtual environment enables users to interact in real-time with design but unfortunately has not been used widely in the process of architectural design. The aim of this paper is to investigate the relationship between present design process and the emerging technology of virtual reality, establish a relationship between the two and its influence on architecture to form a new translated design process and communication, an interface between architect and client.

关键词： Virtual reality

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Journal of Information Science and engineering: Editorial notice

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Journal of Information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

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Extracting features for a brain-computer interface by self-organising fuzzy neural network-based time series prediction

Extracting features for a brain-computer interface by self-o...

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

作者： D. Coyle G. Prasad T.M. McGinnity Intelligent Systems Engineering Laboratory School of Computing and Intelligent Systems University of Ulster Londonderr UK

This paper presents a novel feature extraction procedure (FEP) for extracting features from the electroencephalogram (EEG) recorded from subjects producing right and left motor imagery. Four self-organizing fuzzy neural networks (SOFNNs) are coalesced to perform one-step-ahead predictions for the EEG time series data. Features are derived from the mean squared error (MSE) in prediction or the mean squared of the predicted signals (MSY). Classification is performed using linear discriminant analysis (LDA). This novel FEP is tested on three subjects offline and classification accuracy (CA) rates approach 94% with information transfer (IT) rates >10 bits/min. Minimum subject specific data analysis is required and the approach shows good potential for online feature extraction and autonomous system adaptation.

关键词： Feature extraction Brain computer interfaces Fuzzy neural networks Biological neural networks Electroencephalography Data mining Communication system control Linear discriminant analysis Muscles Neuromuscular

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