In this contribution we present a new algorithm for structured illumination microscopy with incoherent light. Existing algorithms for determining the contrast values of the focal depth response require a high accurate...
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In this contribution we present a new algorithm for structured illumination microscopy with incoherent light. Existing algorithms for determining the contrast values of the focal depth response require a high accurate phase shift of the fringe pattern illumination. The presented algorithm, which is robust against inaccurate phase shift of the fringe pattern, reduces significantly the requirements for the phase shift and consequently the costs of the microscope. The new algorithm was tested by a preliminary experiment, whereby the grating was shifted by an elastic guided micro-motion mechanism employing a low-cost stepper motor replacing the conventional expensive piezo drive. The determined focal depth response is very smooth and corresponds very well to the theoretical focal depth response.
Distributed cloud based systems are sending the traditional processing systems at the back-front because of their increasing popularity. fault tolerance is a rapid growing challenge in the distributed cloud based syst...
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ISBN:
(纸本)9781467367479
Distributed cloud based systems are sending the traditional processing systems at the back-front because of their increasing popularity. fault tolerance is a rapid growing challenge in the distributed cloud based system. fault tolerance is the ability of the system to perform its function even in the presence of the failures. A number of models and algorithms has been developed to make the distributed cloud based system faulttolerant. In this paper, to make the distributed cloud environment are fault-less, the fault tolerant algorithm for the replication management is developed. It is consider being very effective. The fault Detector Replication Manager (FDRM) find the failed server in the particular distributed location and allocate replicated server to accomplish the tasks.
faulttolerant motion planning of two spatial coordinating manipulators having two possible locked joints respectively is studied. First, the calculation method of faulttolerant workspace with respect to different jo...
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faulttolerant motion planning of two spatial coordinating manipulators having two possible locked joints respectively is studied. First, the calculation method of faulttolerant workspace with respect to different joints is given, and the centrality index that measures the relative position between the trajectory of end-effector and faulttolerant workspace is formulated. Then based on this new index, the faulttolerant planning algorithm with optimal initial posture for the coordinating manipulation of two redundant manipulators is proposed. This algorithm can be used to perform a faulttolerant operation for two coordinating manipulators both at the moment of a failure and after a failure. Finally, the simulation researches for two spatial 4R manipulators demonstrate the validity of this proposed algorithm. (C) 2005 Elsevier Ltd. All rights reserved.
Advances in sensor technology and computer networks have enabled distributed sensor networks (DSNs) to evolve from small clusters of large sensors to large swarms of microsensors, from fixed sensor nodes to mobile nod...
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Advances in sensor technology and computer networks have enabled distributed sensor networks (DSNs) to evolve from small clusters of large sensors to large swarms of microsensors, from fixed sensor nodes to mobile nodes, from wired communications to wireless communications, from static network topology to dynamically changing topology. However, these technological advances have also brought new challenges to processing large amount of data in a bandwidth-limited, power-constraint, unstable and dynamic environment. This paper reviews recent developments in DSNs from four aspects: network structure, data processing paradigm, sensor fusion algorithm with emphasis on fault-tolerantalgorithm design, and optimal sensor deployment strategy. (C) 2001 The Franklin Institute. Published by Elsevier Science Ltd. All rights reserved.
In this paper, we deal with the problem of simultaneous reconstruction of a vector of rational numbers, given modular reductions containing errors (SRNRwE). Our methods apply as well to the simultaneous reconstruction...
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ISBN:
(纸本)9798400706967
In this paper, we deal with the problem of simultaneous reconstruction of a vector of rational numbers, given modular reductions containing errors (SRNRwE). Our methods apply as well to the simultaneous reconstruction of rational functions given evaluations containing errors (SRFRwE), improving known results [7, 9]. In the latter case, one can take advantage of techniques from coding theory [4, 10] and provide an algorithm that extends classical Reed-Solomon decoding. In recent works [7, 9], interleaved Reed-Solomon codes [3, 19] are used to correct beyond the unique decoding capability in the case of random errors at the price of positive but small failure probability. Our first contribution is to extend these works to the simultaneous reconstruction with errors of rational numbers instead of functions. Thus considering rational number codes [16], we provide an algorithm decoding beyond the unique decoding capability and, as a central result of this paper, we analyze in detail its failure probability. Our analysis generalizes for the first time the best known analysis for interleaved Reed-Solomon codes [19] to SRFRwE, improving on the existing bound [8], to interleaved Chinese remainder codes, also improving the known bound [1], and finally for the first time to SRNRwE.
Data gathering is a common but critical operation in many applications of wireless sensor networks. Innovative techniques that improve energy efficiency to prolong the network lifetime are highly required. Clustering ...
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ISBN:
(纸本)9781595939845
Data gathering is a common but critical operation in many applications of wireless sensor networks. Innovative techniques that improve energy efficiency to prolong the network lifetime are highly required. Clustering is an effective topology control approach in wireless sensor networks, which can increase scalability and lifetime. Collaboration of hundreds or thousands of cheap micro sensor nodes allows users to accurately monitor a remote environment by intelligently combining the data from the individual nodes. These networks require robust wireless communication protocols that are energy efficient and provide low latency. In this paper, we develop and analyze an efficient cooperative transmission protocol with robust clustering (RCCT) for sensor networks that considers a fault-tolerant and energy-efficient distributed clustering with minimum overhead. RCCT distributes energy load by energy-aware member selection for cooperative data transmission. Simulation results show a better performance of RCCT as compared to the conventional protocols.
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