We address turbulent scalar mixing with a prescribed mean scalar gradient in the implicit large-eddy simulation (ILES) context. The focus is on the performance of ILES to capture the mixing dynamics due to large-scale...
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ISBN:
(纸本)9781624102141
We address turbulent scalar mixing with a prescribed mean scalar gradient in the implicit large-eddy simulation (ILES) context. The focus is on the performance of ILES to capture the mixing dynamics due to large-scale entrainment and intermediate scale convective stirring in forced compressible isotropic turbulence. ILES is based on a multi-dimensional flux corrected transport algorithm with separate low wave number forcing of solenoidal and dilatational velocity components. ILES is shown to capture dominant aspects of the mixing transition as function of effective Reynolds number determined by grid resolution.
This paper is concerned with a subclass of deterministic pushdown transducers, called deterministic restricted one-counter transducers (droct's), and studies the equivalence problem for real-time droct's which...
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ISBN:
(纸本)9781479903719
This paper is concerned with a subclass of deterministic pushdown transducers, called deterministic restricted one-counter transducers (droct's), and studies the equivalence problem for real-time droct's which accept by final state. After providing some properties of these droct's, we present a polynomial-time algorithm for checking the equivalence for these droct's.
We discuss in this paper a problem of mining structural change patterns. Given a pair of graphs before and after some change, a structural change pattern is extracted as a vertex set X which is pseudo-independent set ...
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Many kinds of graph data including social networks are increasing nowadays. In such a graph, the relationships between vertices are changing day by day. We need to have a data mining method able to extract significant...
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Many kinds of graph data including social networks are increasing nowadays. In such a graph, the relationships between vertices are changing day by day. We need to have a data mining method able to extract significant...
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Many kinds of graph data including social networks are increasing nowadays. In such a graph, the relationships between vertices are changing day by day. We need to have a data mining method able to extract significant patterns informing us about what changes. From this viewpoint, we propose in this paper an algorithm for change detection over two graphs constructed from two time intervals, based on a notion of modularity and a branch-and-bound search method for changes.
作者：
M. FeemsterD.M. DawsonA. BehalW. DixonMatthew Feemster received the B.S degree in Electrical Engineering from Clemson University
Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962
in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology
Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no
In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects...
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In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.
Although currently seatbelts and airbags are world widely used, there are still more than 40,000 people killed annually in traffic accidents. Referred to David Breed's "Road to Zero Fatalities" (RtZF/spl...
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Although currently seatbelts and airbags are world widely used, there are still more than 40,000 people killed annually in traffic accidents. Referred to David Breed's "Road to Zero Fatalities" (RtZF/spl reg/) concept, this paper mainly discusses how to develop and deploy a safety warning system using high precision digital road maps and a combination of various vehicle status sensory techniques, without or with a minimum requirement of additional road infrastructures. This system will help to avoid accidents and enhance safety by warning drivers of possible hazardous situations in advance.
This book constitutes the thoroughly refereed conference proceedings of the 9th International Workshop on algorithms and Computation, WALCOM 2015, held in Dhaka, Bangladesh, in February 2015. The 26 revised full paper...
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ISBN:
(数字)9783319156125
ISBN:
(纸本)9783319156118
This book constitutes the thoroughly refereed conference proceedings of the 9th International Workshop on algorithms and Computation, WALCOM 2015, held in Dhaka, Bangladesh, in February 2015. The 26 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 85 submissions. The papers are organized in topical sections on approximation algorithms, data structures and algorithms, computational geometry, combinatorial algorithms, distributed and online algorithms, graph drawing and algorithms, combinatorial problems and complexity, and graph enumeration and algorithms.
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