A framework for enabling patient monitoring via mobile ad hoc ne

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Title: A framework for enabling patient monitoring via mobile ad hoc network

Authors: Sweta Sneha, Upkar Varshney

Abstract: A critical component of comprehensive patient monitoring is reliability in communication between the patients and the healthcare professionals without any time and location dependencies. Patient monitoring applications largely rely on infrastructure based wireless networks for signal transmission. However, infrastructure based wireless networks till date, suffer from unpredictable network coverage and have thus been attributed to the unpredictable communication reliability of patient monitoring applications. This research investigates an approach based on leveraging mobile ad hoc network to address the challenge of enhancing communication reliability in the context of patient monitoring. Mobile ad hoc network, formed among patient monitoring devices, has the potential of enhancing network coverage and enabling signal transmission from an area which has low or non-existent coverage from infrastructure based networks. In order to utilize mobile ad hoc network in the context of patient monitoring we propose (1) power management protocols that address the challenge of managing the low battery power of patient monitoring devices while maximizing communication reliability and (2) a framework that models the complex decision logic involved in leveraging mobile ad hoc network for diverse patient monitoring scenarios. Analytical evaluation of the proposed approach supports the premise that mobile ad hoc network formed among patient monitoring devices can enhance the reliability of signal transmission thereby improving the quality of patient monitoring applications. Technical and managerial implications of the research findings and the direction of future research are discussed.   

Publish Year: 2013

Published in: Decision Support Systems - Science Direct

Number of Pages: 17

موضوع: شبکه های Ad-Hoc

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Thermal phenomena associated with water transport across a fuel

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Title: Thermal phenomena associated with water transport across a fuel cell membrane: Soret and Dufour effects  

Authors: K Glavatskiy a,n , JG Pharoah b , S Kjelstrup

Abstract: We present calculations of the coupling effects that take place when heat and water are transported across a membrane relevant to fuel cells, using the theory of non-equilibrium thermodynamics. Numerical results are given for the Nafeon membrane bounded by surfaces of molecular thickness in contact with water vapor of varying relative humidity. Analytical expressions for thermal effects of water transport are given. We show how reversible heat transport (Dufour effects) can be understood in terms of coupling coefficients (heats of transfers). The sign of the enthalpy of adsorption of water in the membrane determines the sign of the coupling coefficient, the Dufour and Soret effect as well as thermal osmosis effects meaning that the effect can be large at interfaces. Weshow how data presented in the literature can be understood in terms of the presented theory. Using common estimates for transport properties in the membrane and its surface, we ?nd that the more detailed equations predict a 10 30% variation in the heat and mass fluxes as the membrane thickness drops below 1 mm. Analysis of experiments on thermal osmosis suggests that more accurate measurements on the water content as a function of activity are required.

Publish Year: 2013

Published in: Journal of Membrane Science - Science Direct

Number of Pages: 9

موضوع: ترمودینامیک

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Increasing the efficiency of quicksort using a neural network b

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Title: Increasing the efficiency of quicksort using a neural network based algorithm selection model

Author: Ugur Erkin Kocamaz

Abstract: Quicksort is one of the most popular sorting algorithms it is based on a divide-and-conquer technique and has a wide acceptance as the fastest general-purpose sorting technique. Though it is successful in separating large partitions into small ones, quicksort runs slowly when it processes its small partitions, for which completing the sorting through using a different sorting algorithm is much plausible solution. This variant minimizes the overall execution time but it switches to a constant sorting algorithm at a constant cut-off point. To cope with this constancy problem, it has been suggested that a dynamic model which can choose the fastest sorting algorithm for the small partitions. The model includes continuation with quicksort so that the cut-off point is also more flexible. To implement this with an intelligent algorithm selection model, artificial neural net- works are preferred due to their non-comparison, constant-time and low-cost architecture features. In spite of the fact that finding the best sorting algorithm by using a neural net- work causes some extra computational time, the gain in overall execution time is greater. As a result, a faster variant of quicksort has been implemented by using artificial neural network based algorithm selection approach. Experimental results of the proposed algorithm and the several other fast sorting algorithms have been presented, compared and discussed.   

Publish Year: 2013

Published in: Information Sciences - Science Direct

موضوع: شبکه های عصبی مصنوعی (Artificial Neural Networks)

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Large nonadiabatic quantum molecular dynamics simulations on par

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Title: Large nonadiabatic quantum molecular dynamics simulations on parallel computers

Authors: Fuyuki Shimojo , Satoshi Ohmura , Weiwei Mou , Rajiv K Kalia , Aiichiro Nakano , Priya Vashishta

Abstract: Wehave implemented a quantummolecular dynamics simulation incorporating nonadiabatic electronic transitions on massively parallel computers to study photoexcitation dynamics of electrons and ions. The nonadiabatic quantum molecular dynamics (NAQMD) simulation is based on Casida s linear response time-dependent density functional theory to describe electronic excited states and Tully s fewest- switches surface hopping approach to describe nonadiabatic electron ion dynamics. To enable large NAQMD simulations, a series of techniques are employed for efficiently calculating long-range exact exchange correction and excited-state forces. The simulation programis parallelized using hybrid spatial and band decomposition, and is tested for various materials.   

Publish Year: 2013

Published in: Computer Physics Communications - Science Direct

موضوع: محاسبات کوانتوم (Quantum Computing )

 

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Molecular solutions of the RSA public-key cryptosystem on a DNA-

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Title: Molecular solutions of the RSA public-key cryptosystem on a DNA-based computer

Authors: WengLong Chang Kawuu Weicheng Lin JuChin Chen ChihChiang Wang Lai Chin Lu Minyi Guo Michael ShanHui Ho

Abstract: The RSA public-key cryptosystem is an algorithm that converts a plain-text to its corresponding cipher-text, and then converts the cipher-text back into itscorresponding plain-text. In this article, we propose five DNA-based algorithms-parallel adder, parallel subtractor, parallel multiplier, parallel comparator, and parallelmodular arithmetic-that construct molecular solutions for any (plain-text, cipher-text) pair for the RSA public-key cryptosystem.   

Publish Year: 2012

Published in: The Journal of Supercomputing - Springer

موضوع: رمزنگاری کلید عمومی (Public Key Cryptography)، محاسبات کوانتوم (Quantum Computing)

 

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