Responsive systems are fault-tolerant, real-time systems in parallel and distributed environments. Recently, several approaches to responsive system design have been developed. By incorporating key concepts in these a...
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Images generated from the scanning tunneling microscope (STM) or atomic force microscope (AFM) imaging system can show microstructures of samples. However, resulting AFM/STM images are sometimes corrupted by streaks. ...
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Genetic algorithms (GA) are typically regarded as the unconstrained search procedure within the given representation space. But many actual problems hold one or more constraints that must be satisfied. In this paper, ...
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Genetic algorithms (GA) are typically regarded as the unconstrained search procedure within the given representation space. But many actual problems hold one or more constraints that must be satisfied. In this paper, we consider the incorporation of constraints into fitness function and solve the constrained clustering problem using the GA through a multiprocessor system (FIN) which has a self-similarity network.< >
This paper presents an implemented control architecture for behavior-based mobile robots in partially known environments. In addition to coordinating primitive behaviors, the fuzzy controller is able to integrate reac...
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This paper presents an implemented control architecture for behavior-based mobile robots in partially known environments. In addition to coordinating primitive behaviors, the fuzzy controller is able to integrate reactive behaviors with goal-directed planning capabilities so that the robot can reach its goals more efficiently. The fuzzy controller was tested on a mobile robot equipped with sonars and inf.ared sensors to perform collision-free navigation toward any given goal position. The performance of the navigation system was compared with two existing algorithms, and the experimental results showed that the proposed architecture provides an efficient and flexible solution to higher level control problems.< >
Developing robust techniques for visualizing the performance behavior of parallel programs that can scale in problem size and/or number of processors remains a challenge. We present several performance visualization t...
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Developing robust techniques for visualizing the performance behavior of parallel programs that can scale in problem size and/or number of processors remains a challenge. We present several performance visualization techniques based on the context of data-parallel programming and execution that demonstrate good visual scalability properties. These techniques are a result of utilizing the structural and distribution semantics of data-parallel programs as well as sophisticated three-dimensional graphics. A categorization and examples of scalable performance visualizations are given for programs, written in Dataparallel C and pC++.< >
The increased availability of global communication inf.astructures allows providers and users of various application services to cooperate in nearly unlimited geographic scopes. Problems of heterogeneity and scale hav...
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The increased availability of global communication inf.astructures allows providers and users of various application services to cooperate in nearly unlimited geographic scopes. Problems of heterogeneity and scale have motivated specific standardisation activities for client/server "trading" or service "mediation" components. Motivated by current limitations of the emerging ODP (Open Distributed Processing) trader, this paper argues for a broader concept of general service "mediation" as more appropriate for realistic open distributed environments. The proposed mediation concept addresses some of the heterogeneity and flexibility requirements of open service co-operation by a uniform "Service Interface Description Language" (SIDL). The goal is to support distributed application development for a "Common Open Service Market" (COSM) by facilitating flexible service selection and client/server interaction. The paper also presents basic components of a generalised trading and mediation architecture as well as the status of a prototype implementation.< >
A neural network model of complex temporal pattern generation is proposed and investigated analytically and by computer simulation. Temporal pattern generation is based on recognition of the contexts of individual com...
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A neural network model of complex temporal pattern generation is proposed and investigated analytically and by computer simulation. Temporal pattern generation is based on recognition of the contexts of individual components. Based an its acquired experience the model actively yields system anticipation, which then compares with the actual input flow. A mismatch triggers self-organization of context learning, which ultimately leads to resolving various ambiguities in producing complex temporal patterns. We show analytically that the network model can learn to generate any complex temporal pattern. Multiple patterns can be acquired sequentially by the system, manifesting a form of retroactive interference. The model is consistent with cognitive studies of sequential learning.< >
Owing to the growing concern regarding harmonic pollution in power distribution systems, and the adoption of standards such as IEC 555-2, there is a need for power supplies whose AC line currents are low in harmonic c...
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Owing to the growing concern regarding harmonic pollution in power distribution systems, and the adoption of standards such as IEC 555-2, there is a need for power supplies whose AC line currents are low in harmonic content and have power factor close to unity. Unity power factor circuits are becoming one of the most important requirements for power electronics. In this paper the idea of using a boost rectifier with nonlinear discrete control is used. In this paper the robust nonlinear sliding mode discrete time control in the mains rectangular (ab) coordinate system is discussed. Simulation results are presented.< >
This paper presents an implemented navigation system for mobile robots in dynamic environments. In order to take advantage of existing knowledge of the world and to deal with unknown obstacles in real time, our system...
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This paper presents an implemented navigation system for mobile robots in dynamic environments. In order to take advantage of existing knowledge of the world and to deal with unknown obstacles in real time, our system divides motion planning into global path planning and local reactive navigation. The former uses genetic algorithm methods to find a collision-free path; the latter is implemented using neural network techniques to track the path generated by the global planner while avoiding unknown obstacles on the way. As a result, the system can adapt to dynamic environmental changes. Our experiments, both in simulation and on a real robot, showed that the system can find a reasonably good free path in a fraction of the time necessary to find an optimal free path, and it can effectively achieve its goal configurations without collision.< >
Molecular binding, important in drug design, explores the accurate binding structures between molecules. This exploration can be formulated as a global optimization problem. However, the problem in molecular binding i...
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ISBN:
(纸本)0818667850
Molecular binding, important in drug design, explores the accurate binding structures between molecules. This exploration can be formulated as a global optimization problem. However, the problem in molecular binding is that the search space is very large and the computational cost increases tremendously with the growth of the degrees of freedom. In this paper, we utilize a new algorithm called the annealing genetic algorithm to solve the global optimization problem in molecular binding. Using a protein with three anti-cancer drugs in our model, our algorithm can find a binding structure with a complicated energy computation within a couple of hours and the experimental results indicate that the solutions are reasonable.< >
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