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PVM: A Framework for Parallel Distributed Computing
- Concurrency: Practice and Experience
, 1990
"... The PVM system is a programming environment for the development and execution of large concurrent or parallel applications that consist of many interacting, but relatively independent, components. It is intended to operate on a collection of heterogeneous computing elements interconnected by one or ..."
Abstract
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Cited by 788 (27 self)
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components, is portable to a variety of architectures, and supports certain forms of error dete...
Bounding Error Masking in Linear Output Space Compression Schemes
- in Asian Test Symposium
, 1994
"... Linear output space compression (OSC), or group parity prediction, of a circuit under check (CUC) is a well known method for concurrent error detection. Typically, errors caused by a circuit fault will be masked with a certain probability which depends on the choice of the compression function of th ..."
Abstract
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Cited by 10 (0 self)
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probability and large fault sets. IndexTerms: Combinatorial optimization, concurrent error dete...
1 Development and Evaluation of an à Posteriori Method for Estimating and Correcting Grid-Induced Errors in Solutions of the Navier-Stokes Equations
"... A method for estimating and correcting grid-induced errors in solutions of the Navier-Stokes equations is presented in the framework of a second-order finite-volume algorithm on an unstructured mesh. This method is based on the discrete-error-transport-equation (DETE) of Qin and Shih, which was show ..."
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A method for estimating and correcting grid-induced errors in solutions of the Navier-Stokes equations is presented in the framework of a second-order finite-volume algorithm on an unstructured mesh. This method is based on the discrete-error-transport-equation (DETE) of Qin and Shih, which
Shaping Inputs to Reduce Vibration: A Vector Dagrarn Approach
, 1223
"... This paper describes a method for limiting Vibration 'in fle](ible systems by shaping the system 'inputs. Unlike most previous attempts at 'Input shaping, this method does not reqwred an extensive system model or lengthy numerical computation; only knowledge of the system natural freq ..."
Abstract
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frequency and damping ratio are reqmred. The effectiveness of this method when there are errors in the system model 'is explored and quantified. An algorithm is presented which, given an upper bound on acceptable residual vibration amplitude, dete nes a shaping strat-egy that is insensitive to errors
A Framework for Robustness Analysis of Constrained Finite Receding Horizon Control
- IEEE Transactions on Automatic Control
, 1998
"... A framework for robustness analysis of input constrained finite receding horizon control is presented. Under the assumption of quadratic upper bounds on the finite horizon costs, we derive sufficient conditions for robust stability of the standard discrete-time linear-quadratic receding horizon cont ..."
Abstract
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Cited by 2 (0 self)
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as well as for state measurement error is shown to reduce to the feasibility of linear matrix inequalities. Simple examples demonstrate the approach. Keywords: predictive control, optimal control, linear systems, robustness, S-procedure, LMI. 1 Introduction Receding horizon, moving horizon and model
Blind turbo channel estimation in OFDM receivers
- In Conference Record of the Thirty-Fifth Asilomar Conference on Signals, Systems and Computers
, 2001
"... Finite-Alphabet-based blind channel estimation in OFDM systems is known to be extremely complex due to an exhaustive search to be performed over a tremen-dous number of channel coe±cient combinations. In this paper, we present a novel blind channel estimator which dramatically reduces this number of ..."
Abstract
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Cited by 1 (0 self)
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of coe±cient combinations to be checked without a signi¯cant dete-rioration in estimation quality. Hence, the new low complexity approach enables the application of blind channel estimators based on the ¯nite alphabet set even if the transmitted data are high-rate modulated. Fur-thermore, we show
Letter to the Editor A Proposal to Prevent Omissions and Delays of Antiparkinsonian Drug Administration in Hospitals
"... A prospective study carried out in the Netherlands showed that the most important risk factor for motor function dete-rioration in Parkinson’s disease (PD) during hospital admission was medication error, including both incorrect timing of levodopa administration and prescription of con-traindicated ..."
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A prospective study carried out in the Netherlands showed that the most important risk factor for motor function dete-rioration in Parkinson’s disease (PD) during hospital admission was medication error, including both incorrect timing of levodopa administration and prescription of con
Implementation of the esra Constraint Modelling Language
- Department of Information Technology, Uppsala University, Sweden
, 2002
"... This report des
ribes my Master's thesis proje
t of implementing a
onstraint modelling language
alled ESRA. ESRA adds new features to an already existing onstraint modelling language
alled OPL. With the help of the tools JLex and JavaCUP, I have
reated a generi
ompiler that easily lets on ..."
Abstract
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Cited by 4 (0 self)
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one
hange the grammar and the ESRA-to-OPL rewrite rules of the ESRA language. I show how to use JLex and JavaCUP in order to
ombine them, to make a two-pass ompiler with them, and to dete
t errors with them. I also show how I reated a rule le system that translates rules in a natural format
APL: Autonomous Passive Lo alization for Wireless Sensors Deployed in Road Networks
"... Abstra tIn road networks, sensors are deployed sparsely (hun-dreds of meters apart) to save
osts. This makes the existing lo alization solutions based on the ranging be ineffe
tive. To address this issue, this paper introdu
es an autonomous passive lo
alization s heme,
alled APL. Our work is insp ..."
Abstract
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is inspired by the fa
t that vehi
les move along routes with a known map. Using binary vehi
le-dete
tion timestamps, we
an obtain distan
e estimates between any pair of sensors on roadways to
onstru
t a virtual graph
omposed of sensor identi
ations (i.e., verti
es) and distan
e estimates (i.e., edges
