A fundamental issue affecting the performance of a parallel application running on a heterogeneous computing system is the assignment of tasks to the processors in the system. The task assignment problem for more than...
A fundamental issue affecting the performance of a parallel application running on a heterogeneous computing system is the assignment of tasks to the processors in the system. The task assignment problem for more than three processors is known to be NP-hard, and therefore satisfactory suboptimal solutions obtainable in an acceptable amount of time are generally sought. This paper proposes a simple and effective iterative greedy algorithm to deal with the problem with goal of minimizing the total sum of execution and communication costs. The main idea in this algorithm is to improve the quality of the assignment in an iterative manner using results from previous iterations. The algorithm first uses a constructive heuristic to find an initial assignment and iteratively improves it in a greedy way. Through simulations over a wide range of parameters, we have demonstrated the effectiveness of our algorithm by comparing it with recent competing task assignment algorithms in the literature.
Based on the testing of mass loss rate, chloride ion diffusion coefficient and compressive strength, as well as the microcosmic analysis of SEM and EDS, effects of fly ash and the early strength agent of sodium sulfat...
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ECG and pulse waveforms are important physiological parameters that can be utilized to analyze noninvasively physical condition and monitor cardiovascular diseases. In recent years, they were studied for evaluating th...
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ECG and pulse waveforms are important physiological parameters that can be utilized to analyze noninvasively physical condition and monitor cardiovascular diseases. In recent years, they were studied for evaluating the effects of exercise on human body. However, the systematical analysis on the changes of ECG and pulse waveforms before and after exercise has not been found. This study examines the change of ECG and pulse waveforms after 12-minute-running exercise in nine weeks with 10 healthy subjects. In the experiment, RQ, SQ and TQ represent the amplitude difference between R-, S-, T- and Q-wave of ECG, respectively. Similarly, H1 and H2 represent the amplitude of highest and small peak relative to the baseline of pulse waveforms, respectively. It was found that 90% of subjects' heart rate (HR) at rest has significant decreased (p
Outlier detection is a very useful technique in many applications, where data is generally uncertain and could be described using probability. While having been studied intensively in the field of deterministic data, ...
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Outlier detection is a very useful technique in many applications, where data is generally uncertain and could be described using probability. While having been studied intensively in the field of deterministic data, outlier detection is still novel in the emerging uncertain data field. In this paper, we study the semantic of outlier detection on probabilistic data stream and present a new definition of distance-based outlier over sliding window. We then show the problem of detecting an outlier over a set of possible world instances is equivalent to the problem of finding the k-th element in its neighborhood. Based on this observation, a dynamic programming algorithm (DPA) is proposed to reduce the detection cost from 0(2IR(~'d)l) to O(Ik.R(e, d)l), where R(e, d) is the d-neighborhood of e. Furthermore, we propose a pruning-based approach (PBA) to effectively and efficiently filter non-outliers on single window, and dynamically detect recent m elements incrementally. Finally, detailed analysis and thorough experimental results demonstrate the efficiency and scalability of our approach.
To meet the increasing capacity and mobility as well as decrease the costs in next-generation optical access networks, RoF technology is a promising technique in the emerging optical and wireless convergence network, ...
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(纸本)9781618399571
To meet the increasing capacity and mobility as well as decrease the costs in next-generation optical access networks, RoF technology is a promising technique in the emerging optical and wireless convergence network, mm-wave generation is a key technique to realize the convergence network. In this paper, existing optical mm-wave generation technologies are introduced, including direct modulation, optical heterodyning and external modulation. Associated with Shanghai University, a scheme based on Optical Frequency Multiplication employing a dual drive Mach-Zehnder Modulator (DD-MZM) is presented. The novel efficient technique does not require expensive high-frequency electrical equipment. Moreover, no optical filtering is used, which significantly reduces the cost.
Some wafer fabrication processes are repeated processes, e.g. atomic layer deposition (ALD) process. For such processes, the wafers need to visit some processing modules for a number of times, which complicates the cy...
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Some wafer fabrication processes are repeated processes, e.g. atomic layer deposition (ALD) process. For such processes, the wafers need to visit some processing modules for a number of times, which complicates the cycle time analysis. This paper studies the cycle time analysis problem for such processes. With a Petri net model, it is found that such processes contain local cycles involving only the revisiting PMs and global cycles involving both revisiting and non-revisiting PMs. The process switches between these two types of cycles such that the process never reaches a steady state. Based on this finding, the mechanism underlying such processes is revealed and analytical expressions are given for the calculation of their cycle time. Illustrative examples are presented to show the application of the proposed approach.
Rough set theory, proposed by Pawlak, has been proved to be a mathematical tool to deal with vagueness and uncertainty in intelligent information processing. In this paper, we propose the concept of knowledge granulat...
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Rough set theory, proposed by Pawlak, has been proved to be a mathematical tool to deal with vagueness and uncertainty in intelligent information processing. In this paper, we propose the concept of knowledge granulation in interval-valued information systems, and discuss some important properties. From these properties, it can be shown that the proposed knowledge granulation provides important approaches to measuring the discernibility of different knowledge. It may be helpful for rule evaluation and knowledge discovery in interval-valued information systems.
A recently proposed public key cryptosystem based on Chebyshev polynomials suggests a new approach to data encryption. The sequence of Chebyshev polynomial is proved to be periodically, but its symmetry properties hav...
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A recently proposed public key cryptosystem based on Chebyshev polynomials suggests a new approach to data encryption. The sequence of Chebyshev polynomial is proved to be periodically, but its symmetry properties have not been investigated in depth. In this paper, a new representation of Chebyshev polynomial is introduced to study these properties, and their impacts on the cryptosystem. It is shown that the factual private key space of the cryptosystem is only half or quarter of the period of Chebyshev polynomial sequence. Proper parameters should be chosen to ensure the security of the cryptosystem.
For the purpose of reducing energy consumption and increasing spatial reuse, relay node deployment strategies have been studied widely in wireless network planning. In this paper, we propose a new deploy strategy when...
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An adaptive output feedback control was proposed to deal with a class of nonholonomic systems in chained form with strong nonlinear disturbances and drift terms. The objective was to design adaptive nonlinear output f...
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An adaptive output feedback control was proposed to deal with a class of nonholonomic systems in chained form with strong nonlinear disturbances and drift terms. The objective was to design adaptive nonlinear output feedback laws such that the closed-loop systems were globally asymptotically stable, while the estimated parameters remained bounded. The proposed systematic strategy combined input-state-scaling with backstepping technique. The adaptive output feedback controller was designed for a general case of uncertain chained system. Furthermore, one special case was considered. Simulation results demonstrate the effectiveness of the proposed controllers.
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