Results 301 to 310 of about 10,673,868 (348)

Pyroelectric sensor for entropy measurements

2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices (SSD14), 2014
Peer ...
Cuadras Tomàs, Àngel, Ovejas Benedicto, Victòria Júlia   +1 more
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Phase entropy: a new complexity measure for heart rate variability

Physiological Measurement, 2019
Objective: Information entropy is generally employed for analysing the complexity of physiological signals. However, most definitions of entropy estimate the degree of compressibility and thus quantify the randomness.
Ashish Rohila, Ambalika Sharma
semanticscholar   +1 more source

Entropy Measures and Views of Information

2016
Among the countless papers written by Ronald R. Yager, those on Entropies and measures of information are considered, keeping in mind the notion of view of a set, in order to point out a similarity between the quantities introduced in various frameworks to evaluate a kind of entropy.
Bouchon-Meunier, Bernadette, Marsala, Christophe   +1 more
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Measuring Anonymity with Plausibilistic Entropy

2013 International Conference on Availability, Reliability and Security, 2013
To prove that a certain protocol provides a certain security property (e.g. anonymity) one must first formally define that property in the context of a logical framework capable of expressing the relevant aspects of that protocol and then perform the actual inference steps (preferably automatically).
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Formalization of Entropy Measures in HOL

2011
Information theory is widely used in a very broad class of scientific and engineering problems, including cryptography, neurobiology, quantum computing, plagiarism detection and other forms of data analysis. Despite the safety-critical nature of some of these applications, most of the information theoretic analysis is done using informal techniques and
Tarek Mhamdi, Osman Hasan, Sofiène Tahar   +2 more
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Entropy Measurement of Concurrent Disorder

2020
There is an imminent demand to understand the relationship between correctness and performance to deliver highly scalable multiprocessor programs. The motivation for this relationship is that relaxed correctness conditions provide performance benefits by reducing contention on data structure hot spots.
Victor Cook, Christina L. Peterson, Zachary Painter, Damian Dechev   +3 more
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Polygonal entropy: A convexity measure

Pattern Recognition Letters, 1989
Abstract The notion of polygonal entropy is introduced which captures the degree of nonconvexity of a polygon through a measure of polygonal visibility. We show that the entropy of a simple polygon is maximal if and only if it is convex. When ‘normalized’ the entropy measure is a number between e (a small positive nonzero number) and 1 providing a ...
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An overlap invariant entropy measure of 3D medical image alignment

Pattern Recognition, 1999
C. Studholme, D. Hill, D. Hawkes
semanticscholar   +1 more source

Entropies as measures of software information

Proceedings IEEE International Conference on Software Maintenance. ICSM 2001, 2002
This paper investigates the use of entropies as measures of software information content. Several entropies, including the well-known Shannon entropy, are characterized by their mathematical properties. Based on these characterizations, the entropies, which are suitable for measuring software systems, are rigorously chosen.
openaire   +1 more source

Measuring Anonymity with Relative Entropy

2007
Anonymity is the property of maintaining secret the identity of users performing a certain action. Anonymity protocols often use random mechanisms which can be described probabilistically. In this paper, we propose a probabilistic process calculus to describe protocols for ensuring anonymity, and we use the notion of relative entropy from information ...
Yuxin Deng 0001, Jun Pang 0001, Peng Wu 0002   +2 more
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