In this paper, we present a novel sequence generator based on a Markov chain model. Specifically, we formulate the problem of generating a sequence of vectors with given average input probability p, average transition...
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ISBN:
(纸本)9780780376076
In this paper, we present a novel sequence generator based on a Markov chain model. Specifically, we formulate the problem of generating a sequence of vectors with given average input probability p, average transition density d, and spatial correlation s as a transition matrix computation problem, in which the matrix elements are subject to constraints derived from the specified statistics. We also give a practical heuristic that computes such a matrix and generates a sequence of l n-bit vectors in O(nl+n2) time. Derived from a strongly mixing Markov chain, our generator yields binary vector sequences with accurate statistics, high uniformly, and high randomness. Experimental results show that our sequence generator can cover more than 99% of the parameter space. Sequences of 2,000 48-bit vectors are generated in less than 0.05 seconds, with average deviations of the signal statistics p, d, and s equal to 1.6%, 1.8%, and 2.8%, respectively. Our generator enables the detailed study of power macromodeling. Using our tool and the ISCAS-85 benchmark circuits, we have assessed the sensitivity of power dissipation to the three input statistics p, d, and s. Our investigation reveals that power is most sensitive to transition density, while only occasionally exhibiting high sensitivity to signal probability and spatial correlation. Our experiments also show that input signal imbalance can cause estimation errors as high as 100% in extreme cases, although errors are usually within 25%.
For QoS, we propose a new admission control mechanism called Q-PID, with which a web server system provides an user with satisfactory service by guaranteeing the bounded and predictive response time. The Q-PID control...
In this paper, a virtual factory using the manufacturing message specification (MMS) companion standard is implemented. The MMS companion standard (9506-3 ∼ 9506-7) and virtual machines are designed and implemented f...
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There is growing interest in accessing, relating, and combining data from multiple sources on the Web. Today, web users access the web through two dominant interfaces: clicking on hyperlinks (browsing) and searching v...
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ISBN:
(纸本)1853129070
There is growing interest in accessing, relating, and combining data from multiple sources on the Web. Today, web users access the web through two dominant interfaces: clicking on hyperlinks (browsing) and searching via keyword queries (crawling). This process is often time-consuming and unsatisfactory because of the many inaccurate and irrelevant results that are returned. Better support is needed for expressing one's information requirements and dealing in more structured and systematic ways with one's search results. This paper presents ALII, our proposal for providing this support. ALII is an Active Logic based framework for Information integration, which can utilize a compact context representation and constructs a hierarchy model of query and web pages. The ALII project aims developing methods and tools for a model based, semantic integration of information sources on web pages.
Recently, Bluetooth is considered attractive as a means of building an instantaneous ad hoc network consisting of personal devices. However, Bluetooth-based ad hoc networking raises several issues due to the character...
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ISBN:
(纸本)0780374428
Recently, Bluetooth is considered attractive as a means of building an instantaneous ad hoc network consisting of personal devices. However, Bluetooth-based ad hoc networking raises several issues due to the characteristics of the technology such as spread spectrum and the asymmetric communication model. In this paper, we propose a network formation model that considers the technical characteristics of Bluetooth. The proposed model identifies three essential phases that a Bluetooth system must implement to form an ad hoc network, namely, (I) neighbor discovery, (2) neighbor grouping, and (3) role assignment. Each of these phases introduces several design trade-offs, producing a design space that encompasses previously proposed designs as well as new designs. Based on this observation, we propose a new ad hoc network formation protocol called Bluestars. The proposed protocol has nice properties such as shorter average distance between nodes, higher reach-ability between nodes, and lower overheads associated with an addition of new nodes, yet it is simple enough to be implemented in a small system.
In this paper a cascade sliding mode control (CSMC) system is proposed for the control of high performance permanent magnet synchronous motor (PMS) drives. An improved sliding mode control strategy is introduced first...
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In this paper a cascade sliding mode control (CSMC) system is proposed for the control of high performance permanent magnet synchronous motor (PMS) drives. An improved sliding mode control strategy is introduced first based on a modified control law in order to reduce chattering. It is then used in the CSMC system to improve system robustness and performance. The performance of a PMS motor under the proposed CSMC is evaluated by both simulation and DSP implementation. The simulation and experimental results show the superiority of the CSMC over a linear control and the conventional SMC under the load disturbance and parameter variations.
We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron...
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We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron...
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The performance of a robot operated over a data network does not only depend on a control algorithm used, but also on network conditions. Providing network QoS (quality-of-service) to a networked robot system could si...
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The performance of a robot operated over a data network does not only depend on a control algorithm used, but also on network conditions. Providing network QoS (quality-of-service) to a networked robot system could significantly improve its system performances. However, the network QoS can degrade due to several factors, such as congestion and interference, and can affect the overall system performances. We propose a gain adaptation approach to compensate deteriorative changes in network QoS in order to maintain the performances of a robot system as much as possible. The approach is demonstrated by path tracking control of networked differential drive mobile robot over a QoS enabled network. The simulation results show that when the gain adaptation is applied, the robot can effectively tolerate network QoS deterioration, and increase the overall system robustness. The concept of gain adaptation can be easily extended to other network-based control applications.
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