Results 291 to 300 of about 892,301 (308)

Coverage Hole Detection Algorithm Based on Cooperative Probability Coverage in Wireless Sensor Networks

2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018
The paper presents a new coverage hole detection algorithm based on cooperative probabilistic coverage model. By using this model, the cooperative coverage problem in monitoring areas can be transformed into distance-relationship question. The high-density and randomly scattered surveillance sensor networks can be divided into several Voronoi areas in ...
Ying Tian, Xiaoheng Chang, Yang Ou, Yi Jiang   +3 more
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An Energy-Balanced Probability Coverage Algorithm for WSN

Advanced Materials Research, 2011
The sensing capabilities of sensor nodes are affected by various factors in the actual environment, and the ideal disk sensing model is not available in the practical sensor network. In this paper, we proposed an Energy-balance Coverage Algorithm based on Probability (ECAP).
Yu Xiong Su, Dong Wang
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Coverage probability of distributed wireless power transfer system

2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), 2017
The wireless power transfer via an electro-magnetic (EM) wave enables far-field power transfer. In this paper, we provide an analytic and experimental study on a distributed antenna system for the wireless power transfer as a mean to overcome low end-to-end power transfer efficiency of a conventional collocated antenna system.
Kae Won Choi, Lorenz Ginting, Dedi Setiawan, Arif Abdul Aziz, Dong In Kim   +4 more
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On multiple fault coverage and aliasing probability measures

International Test Conference 1988 Proceeding@m_New Frontiers in Testing, 2003
A comparative study is presented of different methods of calculating multiple fault coverage and aliasing probability measures. The objectives are to describe the ways that these ratios are defined to give them a physical interpretation, and to separate the discussion of how to define the measure from how the measure might be actually obtained or ...
H. Cox, A. Ivanov, V.K. Agarwal, J. Rajski   +3 more
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Multivariate Extreme Value Distributions and Coverage of Ranking Probabilities

Journal of Mathematical Psychology, 2001
The main result in this paper is that the class of multivariate extreme value distributions, when used as random utility models, can approximate all ranking probability distributions. This extends Theorem 1 of Dagsvik (1995). Copyright 2001 Academic Press.
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Probably approximately correct coverage for robots with uncertainty

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
The classical problem of robot coverage is to plan a path that brings a point on the robot within a fixed distance of every point in the free space. In the presence of significant uncertainty in sensing and actuation, it may no longer be possible to guarantee that the robot covers all of the free space all the time, and so it becomes unclear what ...
Colin Das, Aaron Becker, Timothy Bretl
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Minimum Variance Unbiased Estimate of a Coverage Probability

Operations Research, 1968
Let F(x, θ) denote the distribution function of a vector variate x, whose range does not depend on the parameter θ. Then assuming that θ admits a complete and sufficient estimator θ̂, we derive minimum variance unbiased estimate of Px ≦ a= F(a, θ), where a is a known vector. The result is applied to a coverage problem in a normal set up.
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Probability distributions for discrete one-dimensional coverage processes

Signal Processing, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Handley, John C., Dougherty, Edward R.
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Local Coverage Probability Estimation in Single Frequency Networks

Wireless Personal Communications, 2001
In OFDM based Single Frequency Networks (SFNs) such as Digital Audio Broadcasting (DAB) and Digital Video Broadcasting (DVB), the mobile receiver is provided by the same signal from several synchronous transmitters at the same carrier frequency. This transmitter diversity structure makes SFNs very efficient in fading channels with an excellent spectrum
Agnes Ligeti, Slimane Ben Slimane
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Probability distributions and coverage probability in GUM, JCGM documents, and statistical inference

Measurement, 2015
Abstract We discuss the interpretations of a probability distribution to express the state of knowledge about a quantity and the resulting coverage probability in the 1993 Guide to the Expression of Uncertainty in Measurement (GUM) and the subsequent JCGM documents: JCGM 101:2008, JCGM 104:2009, and JCGM 200:2008.
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