@conference {17630,
	title = {Networking lessons: From computers to water},
	booktitle = {2012 Fourth International Conference on Communication Systems and Networks (COMSNETS)},
	year = {2012},
	month = {2012/01/03/7},
	pages = {1 - 6},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {As an instance of using IT to green non-IT domains, we consider the question whether lessons from computer networking can be applied in water distribution networks to improve their energy footprint and/or efficiency. Our contributions in this work are: (i) we identify several areas where principles from computer networking can be used to better water distribution; (ii) we focus on a specific infrastructure enhancement problem caused by increasing demands on a water utility network and present solutions (similar to those used in computer networks) that optimize both operational expenditure and total cost of ownership. We validate our solutions through simulations and compare their efficacy against techniques that are traditionally used in enhancing water networks. Our results show that lessons from computer networks can help in enhancing water networks.},
	keywords = {Biological cells, computer networking, Computer networks, COMPUTERS, energy footprint, Genetic algorithms, green nonIT domains, infrastructure enhancement problem, Internet, network theory (graphs), networking lessons, planning, pricing, water distribution networks, water supply, water utility network},
	isbn = {978-1-4673-0296-8},
	doi = {10.1109/COMSNETS.2012.6151373},
	author = {Narayanan,I. and Sarangan,V. and Vasan, A. and Srinivasan, Aravind and Sivasubramaniam,A.}
}
@conference {19262,
	title = {Methods for design and implementation of dynamic signal processing systems},
	booktitle = {2011 International Conference on Embedded Computer Systems (SAMOS)},
	year = {2011},
	month = {2011},
	pages = {i - i},
	abstract = {Summary form only given. Dynamic signal processing systems, where significant changes in functionality and computational structure must be achieved while applications are running, are becoming increasingly important as computational platforms become more powerful, and feature-sets of DSP-powered products become more sophisticated. This talk covers two new, complementary dataflow models of computation that are being developed in the Maryland DSPCAD Research Group to help address the challenges of structured design, simulation, and synthesis of dynamic signal processing systems. The first of these models, called enable-invoke dataflow (EIDF), is aimed improving the predictability of actor invocation and the efficiency with which dynamic scheduling techniques can be realized. The second model, called the dataflow schedule graph (DSG), provides a formal framework for representing and analyzing dataflow graph schedules that is rooted in formal dataflow semantics, and accommodates a wide range of schedule classes, including static, quasi-static, and dynamic schedules, as well as both sequential and parallel schedule formats. In this talk, I will present the EIDF and DSG models and discuss their potential to improve the processes by which dynamic signal processing systems are developed.},
	keywords = {actor invocation predictability, complementary dataflow models, Computational modeling, computational structure, COMPUTERS, data flow graphs, dataflow schedule graph, DSG models, DSP-powered products, Dynamic scheduling, dynamic scheduling techniques, dynamic signal processing systems, Educational institutions, EIDF models, enable-invoke dataflow, formal dataflow semantics, functionality structure, Laboratories, Maryland DSPCAD Research Group, quasi-static schedules, Schedules, scheduling, Signal processing, static schedules},
	author = {Bhattacharyya, Shuvra S.}
}
@conference {19286,
	title = {Methods for efficient implementation of Model Predictive Control on multiprocessor systems},
	booktitle = {2010 IEEE International Conference on Control Applications (CCA)},
	year = {2010},
	month = {2010},
	pages = {1357 - 1362},
	abstract = {Model Predictive Control (MPC) has been used in a wide range of application areas including chemical engineering, food processing, automotive engineering, aerospace, and metallurgy. An important limitation on the application of MPC is the difficulty in completing the necessary computations within the sampling interval. Recent trends in computing hardware towards greatly increased parallelism offer a solution to this problem. This paper describes modeling and analysis tools to facilitate implementing the MPC algorithms on parallel computers, thereby greatly reducing the time needed to complete the calculations. The use of these tools is illustrated by an application to a class of MPC problems.},
	keywords = {Computational modeling, COMPUTERS, Equations, Hardware, Linear systems, Mathematical model, model predictive control, MPC algorithms, Multiprocessing systems, Multiprocessor systems, parallel computers, predictive control, Program processors},
	author = {Gu, Ruirui and Bhattacharyya, Shuvra S. and Levine,W. S}
}
@book {15676,
	title = {Algorithm Engineering and Experiments: 4th International Workshop, Alenex 2002, San Francisco, Ca, Usa, January 4-5. 2002 : Revised Papers},
	year = {2002},
	month = {2002/09/17/},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Algorithm Engineering and Experiments, ALENEX 2002, held in San Francisico, CA, USA in January 2002.The 15 revised full papers presented were carefully reviewed and selected from 34 submissions. Among the topics addressed are hewistics for algorithms, combinatorial optimization, searching, graph computation, network optimization, scheduling, computational geometry, sorting, and clustering algorithms.},
	keywords = {Architecture / General, Artificial intelligence, Computer algorithms, Computer algorithms/ Congresses, COMPUTERS, Computers / Computer Graphics, Computers / Computer Science, Computers / Data Modeling \& Design, Computers / Data Processing, Computers / General, Computers / Programming / Algorithms, Electronic books, Mathematics / Discrete Mathematics, Medical / General},
	isbn = {9783540439776},
	author = {Mount, Dave and Stein,Clifford}
}
@article {18432,
	title = {Software Process Improvement in the NASA Software Engineering Laboratory.},
	year = {1994},
	month = {1994/12//},
	institution = {CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INSTITUTE},
	abstract = {The Software Engineering Laboratory (SEL) was established in 1976 for the purpose of studying and measuring software processes with the intent of identifying improvements that could be applied to the production of ground support software within the Flight Dynamics Division (FDD) at the National Aeronautics and Space Administration (NASA)/Goddard Space Flight Center (GSFC). The SEL has three member organizations: NASA/GSFC, the University of Maryland, and Computer Sciences Corporation (CSC). The concept of process improvement within the SEL focuses on the continual understanding of both process and product as well as goal-driven experimentation and analysis of process change within a production environment.},
	keywords = {*AWARDS, *SOFTWARE ENGINEERING, *SYSTEMS ANALYSIS, *WORK MEASUREMENT, ADMINISTRATION AND MANAGEMENT, COMPUTER PROGRAMMING AND SOFTWARE, COMPUTER PROGRAMS, COMPUTERS, data acquisition, ENVIRONMENTS, EXPERIMENTAL DATA, GROUND SUPPORT., measurement, Organizations, PE63756E, Production, SOFTWARE PROCESS IMPROVEMENT, SPI(SOFTWARE PROCESS IMPROVEMENT), SPN-19950120014},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA289912},
	author = {McGarry,Frank and Pajerski,Rose and Page,Gerald and Waligora,Sharon and Basili, Victor R.}
}
@article {11984,
	title = {Determining the Translation of a Rigidly Moving Surface, without Correspondence,},
	year = {1986},
	month = {1986/01//},
	abstract = {A method is presented for the recovery of the three-dimensional translation of a rigidly moving textured object from its images. The novelty of the method consists of the fact that four cameras are used in order to avoid the solution of the correspondence problem. The method seems to be immune to small noise percentages and to have good behavior when the noise increases. Keywords: Computer vision.},
	keywords = {*IMAGE PROCESSING, *OPTICAL DETECTION, *Translation(Image processing), CAMERAS, Computer vision, COMPUTERS, IMMUNITY., MOTION, MOVING TARGETS, NOISE, OPTICAL DETECTION AND DETECTORS, SURFACES, THREE DIMENSIONAL, VISION},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA179409},
	author = {Aloimonos, J. and Basu, Anup}
}
