This paper presents a topology reconstruction method to explore better trade-off points between search and access load balancing performance in unstructured Peer-to-Peer (P2P) file sharing networks. The proposed topol...
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This paper presents a topology reconstruction method to explore better trade-off points between search and access load balancing performance in unstructured Peer-to-Peer (P2P) file sharing networks. The proposed topology reconstruction method changes a network topology in a dynamic, autonomous, and decentralized manner. The topology reconstruction is based on local threshold-based rules that use query trails, which stand for information on previous successful search paths. The scenario for the evaluation of the proposed method is that the topology reconstruction method consisting of the local threshold-based rules operates to explore the performance trade-off in the situation that new kinds of files are about to spread over a power-law network. The simulation results show that, depending on the setting of the threshold values, compared to the case without topology reconstruction, the proposed method can explore better trade-off points between search and storage access load balancing performance in the assumed scenario.
The design tools, methods, and technologies used in industry to design digital hardware evolve quickly and continuously. Since the inception of wide-spread CAD tool use to define digital circuits around 40 years ago, ...
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This paper describes an abnormal behavior detection system based on an omni-directional vision sensor as one of the important elements in realizing "Sensing and Robotic Support Room" for elderly people. Such...
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This paper describes an abnormal behavior detection system based on an omni-directional vision sensor as one of the important elements in realizing "Sensing and Robotic Support Room" for elderly people. Such support rooms are expected to be further developed in the future with the high performance to automatically recognize elderly people's actions and behavior patterns and detect the unusual patterns using some sensors and to support their daily motions using some robotic manipulator control systems. The proposed monitoring system using an omni-directional vision sensor automatically learns the daily behavior patterns and detects the unusual behavior patterns and actions using Bayesian Network approach. The Bayesian Network is constructed using image feature values such as the area and center-of gravity values extracted from the captured image sequence and the respective behavior patterns are represented as the conditional probabilities. Unusual behavior patterns can be automatically detected based on the low generation probability values. Some experiments based on the investigation of elderly people's typical daily behavior patterns show the effectiveness of the proposed system.
This paper describes a novel smooth and stable driving trajectory generation scheme for electric powered wheelchair based on the third order spline curve. Electric powered wheelchair moved by the right and left electr...
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This paper describes a novel smooth and stable driving trajectory generation scheme for electric powered wheelchair based on the third order spline curve. Electric powered wheelchair moved by the right and left electric motors based on the human's joystick input is expected to be widely used as a mobility support system for elderly people and disabled people. As one of the high performance control systems for the electric powered wheelchair, this paper proposes a real-time driving trajectory generation scheme to improve the ride quality and safety. The proposed system generates various driving trajectories with the spline curves based on the circle equations and the future passing positions are estimated using the turning radius circle equations. The human's intent from the joystick input can be well reflected in the driving trajectory such as the turning radius. The third order spline curve trajectory can be generated from four passing positions including one past passing position, one present position and two estimated future positions. Some simulation and experiment results show the effectiveness of the proposed control system.
This paper describes the design and simulations of reference low power current/voltage source in CMOS 0.35m technology. Idea of the circuit is based on bandgap reference. Two voltages with different temperature coeffi...
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In most control systems the best quality of control can be achieved if an exact model of a plant is known and if disturbances-free and continuous (instead of discrete) measurements of all its state space variables are...
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In most control systems the best quality of control can be achieved if an exact model of a plant is known and if disturbances-free and continuous (instead of discrete) measurements of all its state space variables are available. Since it is seldom the case in real-life installations, state observers, adapting (parameters identification) algorithms, anti-noise filters and continuous signal estimators must be often employed. The paper describes an application of the moving horizon estimation (MHE) and continuous state estimation from discrete output measurements (CSE-DOM) based method to a laboratory hydraulic three-tank system. The resulting algorithm encompasses all the four above-mentioned mechanisms (state observation, parameters identification, disturbances filtration and continuous state estimation) and can be used for nonlinear systems as well, which is the case in the presented article. The paper provides a detailed explanation of how the MHE and CSEDOM methods were adapted to be applicable to the three-tank system. Results of computer simulations and practical laboratory experiments are also included.
For fast, nonlinear and unstable dynamical systems, such as magnetic levitation, high quality of control is essential. Such control can be generated by different feedback structures, most of which require measurements...
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For fast, nonlinear and unstable dynamical systems, such as magnetic levitation, high quality of control is essential. Such control can be generated by different feedback structures, most of which require measurements of velocities or derivatives of the system output. In case of magnetic levitation the velocity of levitating object (a ferromagnetic sphere) is not measured. That is the reason for application of state observers which along with different controllers will create a nonlinear dynamical feedback structure. In this paper we will consider two such structures - PID controller with a nonlinear feed-forward and a cascade linearising feedback using two nonlinear state observers: high-gain observer (HGO) and an observer with reduced, linear error dynamics (abbreviated as RO). Operation of these control algorithms will be compared with a classical PID structure, derivative part of which will be realised either as a finite difference or with an observer.
This paper proposes a novel approach called noisecluster HMM interpolation for robust speech *** approach helps alleviating the problem of speech recognition under noisy environments not trained in the *** this method...
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This paper proposes a novel approach called noisecluster HMM interpolation for robust speech *** approach helps alleviating the problem of speech recognition under noisy environments not trained in the *** this method,a new HMM is interpolated from existing noisy-speech HMMs that are best matched to the input *** process is performed on-the-fly with an acceptable delay time and,hence,no need to prepare and store the final model in *** weights among HMMs can be determined by either a direct or a tree-structured *** focusing on speech in unseen noisy-environments,the proposed method obviously outperforms a baseline system whose acoustic model for such unseen environment is selected from a tree structure.
The problem addressed in this paper is the automatic segmentation of stroke lesions on MR multi-sequences. Lesions enhance differently depending on the MR modality and there is an obvious gain in trying to account for...
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The problem addressed in this paper is the automatic segmentation of stroke lesions on MR multi-sequences. Lesions enhance differently depending on the MR modality and there is an obvious gain in trying to account for various sources of information in a single procedure. To this aim, we propose a multimodal Markov random field model which includes all MR modalities simultaneously. The results of the multimodal method proposed are compared with those obtained with a mono-dimensional segmentation applied on each MRI sequence separately. We constructed an Atlas of blood supply territories to help clinicians in the determination of stroke subtypes and potential functional deficit.
Microelectrodes are becoming an important tool for sensing of neuro-chemical and neuro-electrical signals for studying neural activities. Although a lot of work has been done for the development of microelectrodes mad...
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Microelectrodes are becoming an important tool for sensing of neuro-chemical and neuro-electrical signals for studying neural activities. Although a lot of work has been done for the development of microelectrodes made up of different materials, such as metal micro-wires, ceramic oxide, polymers, carbon fiber microelectrodes and silicon but these are still far from being satisfactory. An ideal material should have excellent biocompatibility, high signal-to-noise ratio and excellent electrochemical properties. The work of this paper focused on the development and impedance characterization of MEMS based All-Diamond neural probe, a new generation of probe with excellent properties such as wider potential window, low back ground current, very high and low electrical resistivities when doped and undoped respectively, mechanical flexibility and biocompatibility. A novel diamond probe with multiple microelectrodes has been presented with the characterization and test results of these developed probes for biomedical application. In this paper, we have characterized diamond probe for neural prosthetic applications. A test cell has been specially designed for In-Vitro testing of microelectrodes on the probe. Impedance, Capacitance and Resistivity characteristics were studied as a function of size of microelectrode, which were found to be 16.273 × 10 3 ohm, 1.92 to 3.78 ¿F and 28.21 ohm that are in accordance with the theoratical electrochemical equations.
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