Monte Carlo Go is a promising method to improve the performance of computer Go programs. This approach determines the next move to play based on many Monte Carlo samples. This paper examines the relative advantages of...
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Virtual reality is a modern approach for problem solving and strategy planning. It saves cost and time for production. Virtual walkthrough application allows users to navigate and absorb in the generated 3D environmen...
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Virtual reality is a modern approach for problem solving and strategy planning. It saves cost and time for production. Virtual walkthrough application allows users to navigate and absorb in the generated 3D environment with computergraphics assistance. Virtual reality engine is the most important component in virtual reality system. The basic element in virtual reality engine is graphics display. Nevertheless, on the system development where 3D graphics is necessary, there is a conflict between realistic and real time. This paper illustrates the implementation of visual culling techniques such as view frustum culling, back face culling and occlusion culling in the virtual walkthrough application. With the visual culling techniques implemented in the proposed virtual walkthrough system works in real time mode without scarifying realism factor.
This paper proposes a sub-time-optimum soft-computing based controller to follow a desired path with a desired velocity by mobile robots with identified dynamical behavior. This method consists of a fuzzy controller w...
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This paper proposes a sub-time-optimum soft-computing based controller to follow a desired path with a desired velocity by mobile robots with identified dynamical behavior. This method consists of a fuzzy controller where a trained neural network sets its membership functions values in on-line mode. Training of the network is done by a genetic algorithm for various vehicle initial positions and different path convexities in off-line. After the training of the network, during vehicle motion, it retrieves sub-optimized fuzziness values and sends them to the fuzzy control algorithm according to the vehicle position. Meanwhile, the influential of the path convexity is considered in fuzziness of membership functions. This method leads us to make almost the best decision for the mobile robot at each moment. This method is applied to an underwater remotely operated vehicle (ROV) to develop an autopilot for its control system. Simulation results show good performance of the method in this specifics problem.
In this paper we consider implementing optical burst switching as a technology for building grids with computationally intensive requirements. This architecture has been referred to as grid-over-OBS (GoOBS). First, we...
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In this paper we consider implementing optical burst switching as a technology for building grids with computationally intensive requirements. This architecture has been referred to as grid-over-OBS (GoOBS). First, we briefly describe the proposed layered grid architecture and show how OBS can be positioned within the grid architecture. Then, we present a generic framework for anycast routing in the context of GoOBS when requests don't have an explicit destination address and they can be serviced by any appropriate grid resource. We also develop several algorithms to support anycasting when only a single copy of a request is transmitted. Through simulation analysis, we show the performance of our anycast algorithms and compare them with traditional shortest-path unicast routing in which all jobs have specific addresses. Our performance analysis focuses on blocking probability of requests and average end-to-end delay
作者:
Prof. Jian-Xin XuProf. Leonid FridmanDepartment of Electrical and Computer Eng. National University of Singapore 4 Engineering Drive 3 Singapore 117576 Tel +65 6874-2566
Fax +65 6779-1103 Dr Jian-Xin Xu received his Bachelor degree from Zhejiang University
China in 1982. He attended the University of Tokyo Japan where he received his Master's and Ph.D. degrees in 1986 and 1989 respectively. All his degrees are in Electrical Engineering. He worked for one year in the Hitachi research Laboratory Japan and for more than one year in Ohio State University U.S.A. as a Visiting Scholar. In 1991 he joined the National University of Singapore and is currently an associate professor in the Department of Electrical Engineering. His research interests lie in the fields of learning control variable structure control fuzzy logic control discontinuous signal processing and applications to motion control and process control problems. He is the associate editor of Asian Journal of Control member of TC on variable structure systems and sliding mode control of IEEE Control Systems Society and a senior member of IEEE. He has produced more than 90 peer-refereed journal papers near 160 technical papers in conference proceedings and authored/edited 4 books. Division de Estudios de Posgrado Facultad de Ingenieria National Autonomous University of Mexico DEP-FI
UNAM Edificio “A” Circuito Exterior Ciudad Universitaria A. P. 70–256 C.P.04510 Mexico D.F. Mexico Tel +52 55 56223014 Fax +52 55 56161719 Dr. Leonid M. Fridman received his M.S in mathematics from Kuibyshev (Samara) State University
Russia Ph.D. in Applied Mathematics from Institute of Control Science (Moscow) and Dr. of Science degrees in Control Science from Moscow State University of Mathematics and Electronics in 1976 1988 and 1998 respectively. In 1976–1999 Dr. Fridman was with the Department of Mathematics at the Samara State Architecture and Civil Engineering Academy Samara Russia. In 2000–2002 he was with the Department of Postgraduate Study and Investigations at the Chihuahu
Exploring virtual world will give a memorable experience to the users. Generally, they are expecting smooth navigation with high quality image drawn into their eyes. Nevertheless, when the virtual world is growing sim...
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Exploring virtual world will give a memorable experience to the users. Generally, they are expecting smooth navigation with high quality image drawn into their eyes. Nevertheless, when the virtual world is growing simultaneously with the number of objects, the navigation will be detained. Yet, the frame rates can become unacceptable. In this paper, we present and examine range detection approach for view frustum culling to effectively speed-up the interactive virtual heritage project namely Ancient Malacca Virtual Walkthrough. Normal six plane view frustum culling approach use the plane equation to test whether objects is within the visible region. However, range detection approach is different with normal six plane view frustum. It is based on camera referential point and tests the objects if they are in the viewing range. The results show that this approach is able to increase the rendering performance of the virtual walkthrough without sacrificing the visual quality.
Virtual walkthrough application allows users to navigate and immerse in the generated 3D environment with computergraphics assist. The 3D environment requires a large amount of geometry to make it look realistic. Whe...
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Virtual walkthrough application allows users to navigate and immerse in the generated 3D environment with computergraphics assist. The 3D environment requires a large amount of geometry to make it look realistic. When the number of geometry increase, the performance of the application will become slower. Consequently, it creates a conflict between the needs of realistic and real time. In this paper, we discuss the implementation of visual culling techniques such as view frustum culling, back face culling and occlusion culling in the virtual walkthrough application. We render only what we can see during the application runtime and cull away unnecessary geometry. This will accelerate the performance of the system. Without the culling techniques implemented in virtual reality application such as virtual walkthrough, the system has to allocate a large space of memory to store the geometry data. We have tested these techniques to the Ancient Malacca data. With the visual culling techniques implemented, the virtual walkthrough system can work in real time mode without scarifying realism factor.
Collagen fibers are prominent constituents of many soft tissues. The fibers are able to carry load along their fiber axis, and, therefore, their structural arrangement renders the mechanical behavior of biological tis...
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Collagen fibers are prominent constituents of many soft tissues. The fibers are able to carry load along their fiber axis, and, therefore, their structural arrangement renders the mechanical behavior of biological tissue anisotropic. In some tissues, e.g., blood vessels, tendons and ligaments, the fibers form fiber bundles. Structure-based biomechanical models of soft tissues strongly rely on a clear understanding of the underlying collagen fiber bundle structure and require precise quantitative structural information. The paper presents a novel fiber bundle model that satisfactorily explains the observed bundle structure and reveals meaningful parameters for bundle characterization. The model is capable of describing a wide variety of natural bundle structures. It is shown that the identified bundle parameters can be extracted from real histological images using computer vision algorithms. The generative nature of the model allows the creation of artificial fiber bundle images with characteristics very similar to real images
In this paper we propose a multiple auction-based task allocation scheme for identifying and distributing network-monitoring and decision-making tasks amongst the various nodes in a wireless ad-hoc network for perform...
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In this paper we propose a multiple auction-based task allocation scheme for identifying and distributing network-monitoring and decision-making tasks amongst the various nodes in a wireless ad-hoc network for performing power-aware intrusion detection. By iteratively performing this scheme we show that a power-optimal solution can be reached in a bandwidth constrained and energy-preserving network with only the nodes capable of supporting the various tasks chosen. We also demonstrate that simultaneous localized auctions have a lesser overhead than a single auction based scheme that was a subject of our previous work. Our scheme also serves to distribute the intrusion detection tasks according to the needs and constraints of a large and dynamic network. We have compared the performance of our scheme with the existing power-aware intrusion detection approaches in terms of various performance metrics and have demonstrated its associated low overhead
Virtual Reality leads Digital Product Development technology to a more effective and convenient way by presenting the product model in an immersive real 3D environment. Distributed VR even enables partners to discuss ...
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