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EIA 99-77071 PRECISE PROJECT PRECISE expects to significantly strengthen the current environment in Com- puting and Information Sciences and Engineering (CISE) at UPR through more diverse, competitive, and sustainable research. The award contributed to im- plement the multi-campus Ph.D. CISE. While increasing the participation of women and minorities in graduate education, the project facilitated, en- hanced, and intensified research in CISE areas. The project enforced and supported the following research areas: Scientific Computing, Computing Systems, and Automated Information Processing & Digital Systems Implemen- tation. These areas constitute the core of the CISE multidisciplinary research environ- ment, fostering, the formation of multidisciplinary groups and partnerships with industry, government, and other universities in research projects of mu- tual interest. Four research groups have been created out of these areas: Advanced Data Management (ADM), Automated Information Processing & Digital Systems Implementation (AIP-DSI), Computational Statistics and Data Analysis (CSDA), and Parallel and Distributed Computing (PDC). A Computing Research Seminar and a biweekly CISE Technical Lecture Series have been established as a formal forum for the discussion of common grounds of CISE areas and the presentation of frontier research. A Computer Research Labo- ratory was established to support the proposed research and to serve as a location for student training activities. New research laboratories are being developed to support the research groups. Through these efforts, the University of Puerto Rico at Mayagüez has further developed its computing science and engineering research capabilities in- volving minority students in greater number, paving the way for the conferring of more doctoral degrees to under-represented groups, particularly Hispanic and women in Computer Science and Engineering. It is hoped that through these efforts, the nation might find a successful model that will help in building a better racially and ethically balanced technological enterprise for the benefit of its present and future generations. Currently, there are a total of sixteen (16) professors active in the PRECISE Pro- ject who come together into four research groups, each group with no more than four (4) professors: Advanced Data Management (ADM), Computa- tional Statistics and Data Analysis (CSDA), Automated Information Processing PRECISE Outreach UPRM—Mayagüez Campus BOX 9038 Mayagüez, P.R. 00680-9038 Phone: (787) 834-7620 ext. 2294 Fax: (787) 834-7620 ext. 2295 E-mail: [email protected] Web Address: www.precise.ece.uprm.edu Prepared by: Ms. Carmen V. Santiago Edited by: Dr. Domingo Rodríguez University of Puerto Rico at Mayagüez http://www.precise.ece.uprm.edu E-mail: [email protected] NSF GRANT #99-77071 PRECISE’s PI and CO-PI’s Principal Investigator Dr. Domingo Rodríguez, [email protected] Co-PI’s Dr. Néstor Rodríguez, [email protected] Dr. Jaime Seguel, [email protected] Dr. Ramón Vásquez, [email protected] PRECISE OUTREACH Report IV May 2003

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Page 1: May 2003 E-mail: … · 2004-03-12 · Research Seminar and a biweekly CISE Technical Lecture Series have been ... Report IV May 2003 . 2 EIA 99-77071 PRECISE PROJECT & Digital Systems

EIA 99-77071 PRECISE PROJECT

PRECISE expects to significantly strengthen the current environment in Com-puting and Information Sciences and Engineering (CISE) at UPR through more diverse, competitive, and sustainable research. The award contributed to im-plement the multi-campus Ph.D. CISE. While increasing the participation of women and minorities in graduate education, the project facilitated, en-hanced, and intensified research in CISE areas. The project enforced and supported the following research areas: Scientific Computing, Computing Systems, and Automated Information Processing & Digital Systems Implemen-tation. These areas constitute the core of the CISE multidisciplinary research environ-ment, fostering, the formation of multidisciplinary groups and partnerships with industry, government, and other universities in research projects of mu-tual interest. Four research groups have been created out of these areas: Advanced Data Management (ADM), Automated Information Processing & Digital Systems Implementation (AIP-DSI), Computational Statistics and Data Analysis (CSDA), and Parallel and Distributed Computing (PDC). A Computing Research Seminar and a biweekly CISE Technical Lecture Series have been established as a formal forum for the discussion of common grounds of CISE areas and the presentation of frontier research. A Computer Research Labo-ratory was established to support the proposed research and to serve as a location for student training activities. New research laboratories are being developed to support the research groups. Through these efforts, the University of Puerto Rico at Mayagüez has further developed its computing science and engineering research capabilities in-volving minority students in greater number, paving the way for the conferring of more doctoral degrees to under-represented groups, particularly Hispanic and women in Computer Science and Engineering. It is hoped that through these efforts, the nation might find a successful model that will help in building a better racially and ethically balanced technological enterprise for the benefit of its present and future generations. Currently, there are a total of sixteen (16) professors active in the PRECISE Pro-ject who come together into four research groups, each group with no more than four (4) professors: Advanced Data Management (ADM), Computa-tional Statistics and Data Analysis (CSDA), Automated Information Processing

PRECISE Outreach UPRM—Mayagüez Campus BOX 9038 Mayagüez, P.R. 00680-9038 Phone: (787) 834-7620 ext. 2294 Fax: (787) 834-7620 ext. 2295 E-mail: [email protected] Web Address: www.precise.ece.uprm.edu Prepared by: Ms. Carmen V. Santiago Edited by: Dr. Domingo Rodríguez

University of Puerto Rico at Mayagüez http://www.precise.ece.uprm.edu

E-mail: [email protected] NSF GRANT #99-77071

PRECISE’s PI and CO-PI’s

Principal Investigator Dr. Domingo Rodríguez, [email protected]

Co-PI’s Dr. Néstor Rodríguez, [email protected] Dr. Jaime Seguel, [email protected] Dr. Ramón Vásquez, [email protected]

PREC

ISE

OU

TRE

AC

H

Report IV

May 2003

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& Digital Systems Implementation (AIP-DSI), and Parallel and Distributed Computing (PDC). In addition, there is a group composed of two professors whose main emphasis is research and development efforts for industrial software production. Finally, there are a total of three professors who are part of the PRECISE Pro-ject and are conducting research on an individual basis. The Ph.D. Program in Computing and Information Sciences and Engineering (CISE) has been a central theme of the PRECISE Project. It is expected through this program to contribute to an increase in the par-ticipation of women and minorities in graduate education. The Ph.D. in CISE officially started in the Spring 2001 Semester. At the present time the program has eighteen (18) active students, a 50% increase over last year. Four students are female. A total of five (5) students are currently being fully supported by the PRECISE Project. An additional six (6) students will be admitted to the program in August 2003. In the pages below we present our accomplishments for this fourth year of the PRECISE Project, starting with the figure below depicting the conformation of our research groups into a cohesive, integrated, and interacting strategic unit.

PRECISE will significantly strengthen the current research environment in Computing and Information Sci-ences and Engineering (CISE) at the UPR, making it more diverse, competitive, and sustainable. It will help in implementing the Ph.D. CISE model as an academic program.

Our Vision

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Our Mission

To facilitate, enhance and strengthen research in Computing and Information Sciences and Engineering (CISE while increasing the participation of women and minorities through a program that could become a national model.

Our Objectives for the Coming Fifth Year

Create and develop three new research laboratories to support the ADM, AIP-DSI, and PDC research groups. Contribute in the development of new laboratory to support the CSDA research group. Establish an Institute for Computing and Information Studies (ICIS) to integrate and structure all the resources har-nessed by PRECISE into a unique focal entity in order to continue on a steady and well determined path to research excellence in selected CISE areas. Foster the advancement of the Ph.D. CISE Program into a stra-tegic consortium. Maintain commitment to produce top quality graduate students at the MS and Ph.D. lev-els.

MS Student A. Quinchanegua at the 2003 Computing Research Conference

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Our Management Structure

From left: Profs. P. Rivera, J. Seguel, D. Rodríguez, W. Rivera, and M. Rodríguez

PRECISE’s Professors at the R&D CISE Conference Room

Dr. Domingo RodríguezDirector

Project AssistantMrs. Carmen V. Santiago

Dr. Néstor RodríguezProject Manager External Evaluation Committee Academia, Industry, and Government

Research GroupCoordinators

Administrative Personnel(CECORD)

Dr. Edgar Acu ñaCSDA

Dr. Domingo RodríguezAIP-DSI

Dr. Wilson RiveraPDC

Dr. Manuel Rodríguez-MartínezADM

PRECISE’s Management Structure

Ph.D. CISE Program R&D Center

ECE & Math Chairs

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Part B: Accomplishments - PRECISE’s SUCCESS STORIES

1.0 Thesis Produced since April 2000 to present

On Kronecher Products Signal Processing Algorithms and FPGA Computational Structure Student: Ivonne Avilés (May 2000) Dr. Domingo Rodríguez El Uso de Marcos de Referencia en la Teoría de Ondulaciones Student: Arnaldo Cohen May 2000 Dr. Jaime Seguel A Java Based Tool Environment FFT Code Generation Student: Maritza Rodríguez (May 2000) Dr. Domingo Rodríguez Fast Multidimensional Convolutions and SAR Image Formations in a MatLab Environment Student: Dilia Rueda (May 2000) Dr. Domingo Rodríguez Time-Frequency Tools for Signal Analysis and Real-Time Applications Student: Marlene Vargas (May 2000) Dr. Domingo Rodríguez Evolutionary System: “An Artificial System for Manufacturing Cell Design Student Yolanda Peña (July 2000) Dr. Ramón Vásquez Genetically Found Neurally Computed Artificial Features with Applications to Epileptic Seizure Detection and Prediction Student: Hiriam Firpi (May 2001) Dr. Javier Echauz A Rule Based Intelligent Event Service Edwin Moulier (May 2002) Advisor: Dr. Javier Arroyo

A Framework for Generating a New Class of Numerical Integration Methods Student: Armando Vega (May 2002) Advisor: Dr. Jaime Seguel Development of a Database for a Computer-Based Patient Record System Juan P. J. Carvajal (Summer 2002) Advisor: Dr. Néstor Rodríguez

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Implementation of the Unsupervised Possibility Fuzzy C-means Algorithm for Classification of Hyperspectral Data Student: Fernando Gallo (Summer 2002) Advisor: Dr. Luis O. Jiménez A Hierarchical Hybrid Approach to Cell Loading Manpower Allocation and Job Sequencing in Cellular Manufacturing Student: Alejandro Mosquera (December 2002) Advisor: Dr. Güer Süer Un Método Eficiente para el Cómputo de Transformadas Trigonométricas Student: Daniza Morales (December 2002) Advisor: Dr. Jaime Seguel Computational Modeling Simulation and Comparison Study of Cirrus Clouds Ice Crystals Student: Jorge M. Villa (December 2002) Advisor: Dr. Sandra Cruz-Pol Stellar Imaging Interferometry Student: Armando Yance (December 2002) Advisor: Dr. Mark Chang Comparación entre el Lenguaje de Especificación de reglas y el Lenguaje Orientado a objetos Java para el Desarrollo de Sistemas Distribuidos Student: Amarillis Cuaresma (December 2002) Advisor: Dr. Néstor Rodríguez An Object-Oriented Framework for Parallel Incompressible Flow Simulations Student: Freddy Perez (May 2003) Advisor: Dr. Wilson Rivera Multisensor Fusion Algorithms for Object Detection Using Subsurface Data Student: Leonid Tolstoy (May 2003) Advisor: Hamed Parsiani

Students at the PRECISE’s Computing Research Laboratory

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The PRECISE Project donated a few C6711 DSP Development Systems to the Digital signal Processing Project Design Laboratory of the ECE Dept. where Prof. Domingo Rodríguez started to teach a capstone course in Digital Signal Processing.

Acuña, E., Rojas, A., and Coaquira, F. (2002). The Effect of Feature Selection on Combining Classifiers Based on Kernel Density Estimates. In K. Jajuga, A. Sokodowski, H.-H Bock (Eds). Classification, Clustering and Data Analysis. Springer, Heidelberg, 161-168. N. G. Santiago, D. T. Rover, D. Rodríguez, “A Statistical Approach for the Analysis of the Relation Between Low-Level Performance Information, the Code, and the Environment,” Proceedings of the SIAM Journal of Parallel and Distributed Computing Practice. Accepted for publication. J. Seguel, D. Rodríguez; “The Doctoral Program in Computing and Information Sciences and Engineering of the University of Puerto Rico,” accepted for publication in Future Generation Computer Systems Special, issue on Computer Education, Elsevier Science B. V., Netherlands, 2003. Daniel McGee, Daniel Lackland, et al, Trends in Blood Pressure Treatment: Some observations based on the Framingham study, Cardiovascular Reports and Reviews. (In Press). J. Seguel and D. Burbano. "A Parallel Prime Edge-length Crystallographic FFT", ELSEVIER Lecture Notes of Computer Science, LNCS 2659, PP. 602-611, 2003. J. Seguel, "Design and Implementation of Prime Edge-length Symmetric FFTs", ELSEVIER Lecture Notes of Computer Science, LNCS 2667m, pp. 1025-1034, 2003 .

Journals

2.0 Publications

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Acuña, E., (2002) Combining Classifiers based on Kernel density classifiers and Gaussian mixtures. Proceed-ings of the Interface 2002 Computing Science and Statistics. Vol 33. Acuña, E. (2003).Feature selection for supervised classification. To appear in proceedings of the interna-tional conference in applied statistics and related fields. Hawaii, May 2003. Lozano, E. and Acuña, E. (2002) Combining classifiers based on Gaussian Mixtures. To appear in Proceed-ings of the Conference in Computers, Communications and Control 2003. July 2003. Acuña, E., (2003) A comparison of filters and wrappers for feature selection supervised classification. Pro-ceedings of the Interface 2003 Computing Science and Statistics. Vol 34. Solá, Juan and I. Couvertier, A Parallel TCP/IP Offloading Framework for TOE Offloading Devices, 2003 Ap-plied Telecommunications Symposium, March 30 - April 3, 2003, Orlando Florida Solá, Juan and I. Couvertier , A Parallel TCP/IP Offloading Framework for a TCP/IP Offloading Implementa-tion, to appear in the IP Based SoC Design Workshop'02, October 30-31, 2002, Grenoble, France Jairo E. Valiente and Bienvenido Vélez, “Inforadar-cl: A Cross-Lingual Information Discovery Tool Exploiting Automatic Document Categorization”. In Proceedings of IASTED International Conference on Information and Knowledge Sharing (IKS 2002). St. Thomas, V.I. November 2002. J. Torres-Berrocal, B. Vélez-Rivera. “Elastically Replicated Information Services: Sustaining the Availability OF Distributed Storage Across Dynamic Topological Changes”, Sixth Annual Conference of the Southern Association for Information Systems (SAIS), Savannah Georgia March 2003. M. Aguirre, C. Heredia, H. Torres, R. Palomera, and M. Jiménez, “Design of a CMOS 1.8V Low-voltage Differ-ential Signaling Receiver” In Proceedings of the 45th IEEE Midwest Symposium on Circuits and Systems (MWSCAS 2002), IEEE Circuits and Systems Society, Tulsa, OK, Aug. 2002. M. Jiménez, R. Palomera, and M. Toledo, “Undergraduate Research and Co-op Education: A Winning Combination”, Frontiers In Education, FIE-2002, Boston, MA, Nov. 2002. J. Navarro, J. Borges, and M. Jiménez, “Electronic Academic Counseling System”, Frontiers In Education, FIE-2002, Boston, MA, Nov. 2002. F. Fernández and M. Jiménez, “Behavioral Modeling of Dynamic Capacitive Loads on Sigma-Delta Modu-lators”, Proceedings of the Seminario Anual de Automática Electrónica Industrial e Instrumentación (SAAEI 2002), Alcalá de Henares, Spain, Sept. 2002.

Conferences (with proceedings)

J. Seguel, "Symmetric FFTs for Multidimensional Data Arrays of Prime Edge-length" conditionally accepted for publication in IEEE Transactions on Signal Processing. V. Manian and R. Vásquez, “Approaches to Color and Texture Based Image Classification”, Journal of Opti-cal Engineering, SPIE, July 2002.

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J. Yeckle and W. Rivera, “Mapping and characterization of applications in heterogeneous distributed sys-tems,” To appear in Proc. 7th World Multiconference on Systemics, Cybernetics and Informatics (SCI2003). F. Perez and W.Rivera, “An object-oriented framework for computational fluid dynamic simulations,” To ap-pear in Proc. International Conference on Parallel and Distributed Processing Technology and Applications, (PDPTA2003). W. Rivera, “CompuGe: A computational geometry learning environment.” To appear in Proc. IASTED Inter-national Conference on Computers and Advanced Technology in Education (CATE2003). Manuel Rodríguez-Martínez, Nick Roussopoulos, “Wide-Area Query Execution in MOCHA”, 2002 IASTED Con-ference on Information and Knowledge Sharing (IKS 2002). Enna Z. Coronado, Manuel Rodríguez-Martínez, “SRE: Search and Retrieval Engine of TerraScope Earth Sci-ence Information System”, 2003 IASTED Conference on Computer Science and Technology (CST 2003). Alcides Alvear, Manuel Rodríguez-Martínez, Pedro I. Rivera-Vega, Angel Villalain, Angel Ferra, “Development of a Database Middleware System to Support Remote Sensing Analysis over Distributed Data Sources”, 2003 IASTED Conference on Computer Science and Technology (CST 2003). A. Quinchanegua, D. Rodríguez, “DFT Multi-Beamforming Using Kronecker Computational Structures,” IEEE Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, ISPA03, Rome, Itally, Sept. 2003. C. Huallparimachi, D. Rodríguez, “Java-based Tool for Synthetic Aperture Radar Image Analysis,” IEEE Pro-ceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, ISPA03, Rome, Itally, Sept. 2003. D. Rodríguez, E. O’Neill, F. Hernández, M. Vargas, “Signal Processing Methods for Automated Power Line Signal Analysis,” Caribbean Colloquium on Power Quality, CCPQ 2003, Dorado, Puerto Rico, June 2003. A. Quinchanegua, D. Rodríguez, “A Kronecker DFT Multi-Beamforming Implementatoin Approach,” 3rd IASTED International Conference on Circuits, Signals, and Systems, CSS 2003, Cancún, Mexico, May 2003. C. Huallparimachi, D. Rodríguez, M. Rodríguez-Martínez, “Design and Development of a Java-based Distrib-uted System Tool for Synthetic Aperture Radar Image Analysis,” IASTED International Conference on Com-puter Science and Technology, CST 2003, Cancún, Mexico, May 2003. D. Rodríguez, D. Rueda, H. Nava, A. Quinchanegua, "High Performance SAR Raw Data Generation Algo-rithms for Remote-sensed Imaging Applications,” IEEE IGARSS 2002, Toronto, Canada, July 2002. D. Rodríguez, A. Quinchanegua H. Nava, "Signal Operator Cores for SAR Real Time Processing Hardware,” IEEE IGARSS 2002, Toronto, Canada, July 2002. N. J. Rodríguez, Murillo, V., Borges, J.A., Sands, D.Z., and Ortiz, J., “A Study of Physicians’ Interaction with Text-Based and Graphical-Based Electronic Patient Record Systems”, Proceedings of the 15th. IEEE Interna-tional Symposium on Computer-Based Medical Systems, June 2002. Rodríguez, N.J., Borges, J.A., Murillo, V., Sands, D.Z., and Ortiz, J., “A Usability Study of Physicians Interaction with a Paper-Based Patient Record System and a Graphical-Based Electronic Patient Record System”, Proc. AMIA Symposium 2002, November 2002.

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Book Chapters/Articles in Collections

W. Rivera, J. Zhu, and D. Huddleston, “An efficient parallel algorithm for solving unsteady Euler equations,” Parallel Computational Fluid Dynamics: Practice and Theory, P. Wilders, A. Ecer, J. Periaux, N. Satofuka, and P. Fox, eds., Elsevier Science, Amsterdam, 2002, pp. 293 – 300.

Acuña, E, “Análisis Estadístico de Datos usando MINITAB para Windows”, Segunda Edición. John Wiley and Sons, New York (2202).

Arroyo J., Borges. J., Rodríguez N., Moulier E., Rivas M., Cuaresma A., Yeckle J., “An Event/Rule Framework (ERF) for specifying the Behavior of Distributed Systems”, 3rd International Workshop on Software Engineer-ing and Middleware, 2002, pp 59 – 71. V. Manian and R. Vásquez, “Texture Based Cloud Detection in MODIS images”, SPIE Vol. 4882, Sept. 22-27, 2002. V. Manian and R. Vásquez, “A Genetic Algorithm for Texture Description and Classification”, Proceedings of AeroSense’02, April 2002. J. L. Ortiz, M. Valle, “DCG Syntactic Parser for Command Language Recognition under Special Condi-tions.” Software Engineering and Applications (SEA 2002) Conference. Boston, MA, Nov 2002.

J. L. Ortiz, C. Ocasio, “Analog Hardware Model for Morphological Neural Networks”, IASTED International Conference in Neural Networks and Computational Intelligence (NCI 2003). Cancun, Mexico. May 2003.

3.0 CISE-Technical Lecture Series

August—December 2002

Information Management Research @ UPRM CISE TLS I - Dr. Bienvenido Vélez Department of Electrical and Computer Engineering UPR-Mayagüez August 29, 2002 Simulation of Biomedical Fluid Flows CISE TLS II - Dr. Wilson Rivera Department of Electrical and Computer Engineering UPR-Mayagüez September 12, 2002 FTTS in Computational X-Ray Crystallography CISE TLS III - Dr. Jaime Seguel Ph.D. CISE Program Director UPR-Mayagüez September 26, 2002

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Modernización Curso de Compiladores CISE TLS IV - Dr. Manuel E. Bermúdez Department of CISE University of Florida at Gainesville October 10, 2002 Knowledge Management: An Information Nightmare or a Constructivist Dream CISE TLS V - Dr. J. Fernando Vega-Riveros Associate Director for Academic Affairs— ECE Department UPR-Mayagüez October 24, 2002 Feature Selection for Supervised Classification CISE TLS VI - Dr. Edgar Acuña Department of Mathematics UPR-Mayagüez November 7, 2002 CPS Methods for Signal Representation in Radar Imaging and MIMO Wireless Systems CISE TLS VII - Dr. Domingo Rodríguez Department of Electrical and Computer Engineering UPR-Mayagüez November 29, 2002 Structural Subband Decomposition: A New Concept in Digital Signal Processing CISE TLS VIII- Dr. Sanjit K. Mitra Department of Electrical and Computer Engineering University of California at Santa Barbara December 5, 2002

Prof. Sanjit K. Mitra , of UCSB, at a CISE Lecture at UPRM

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Special Editions: August - December 2002

Paradigmas y Perspectivas Futuras en Computación CISE Lecture Special Edition I - Dr. Manuel E. Bermúdez Department of CISE University of Florida at Gainesville October 10, 2002 Overview of Computational Biology CISE Lecture Special Edition II - Dr. David W. Deerfield II Biomedical Initiative Director Pittsburgh Super Computer Center October 29, 2002

Graduate Students and Prof. S. K. Mitra of UCSB

January - May 2003

Resource Management and QOS Control for Next Generation Wireless Networks and High Speed Networks CISE Lecture I - Dr. Yi Qian CISE Distinguished Lecturer January 10, 2003 Unsupervised Feature Subset Selection using Matrix Factorization Methods with Applications to Hyperspec-tral Imagery Band Subset Selection CISE Lecture II - Dr. Miguel Vélez Department of Electrical and Computer Engineering UPR-Mayagüez January 30, 2002

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Unsupervised Feature Extraction Techniques for Hyperspectral Data and its Effects on Unsupervised Classification CISE Lecture II - Dr. Luis O. Jiménez Department of Electrical and Computer Engineering UPR-Mayagüez February 13, 2003 An Overview of the “System Security” Problem CISE Lecture III - Dr. Fernando Colon-Osorio Worcester Polytechnic Institute February 27, 2002 Terrascope: A Database Middleware System to Support Wide-Area Scientific Applications CISE Lecture IV - Dr. Manuel Rodríguez-Martínez Department of Electrical and Computer Engineering UPR-Mayagüez March 13, 2003 Turbo Encoders with Interleavers Constructed using Permutation Monomials CISE Lecture V - Dr. Ivelisse M. Rubio Canabal Department of Mathematics UPR-Humacao March 27, 2003 High-Tech Entrepreneurship Adventures of an Academic Scientist CISE Lecture VII - Dr. Jaime Ramirez-Vick Department of General Engineering UPR-Mayagüez April 10, 2003 On the Use and Architecture of Knowledge Management Systems in High Education CISE Lecture VIII - Dr. J. Fernando Vega-Riveros Associate Director for Academic Affairs— ECE Department UPR-Mayagüez May 8, 2003

Prof. Fernando Colon-Osorio, of WPI, at a CISE Lecture

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PRECISE Research Assistantships

Ph.D. Student Advisor Research Title

Maria del Mar Alvarez Dr. Jaime Seguel Implementation of a Method for Compact Symmetric FFT Code Generation

Rafael Arce Dr. Manuel Jiménez Integer Pair Representation for Multiple-Output Logic

Vidya Manian Dr. Ramón E. Vásquez Texture Discrimination

Edusmildo Orozco Dr. Dorothy Bollman On the Structure of Finite Dynamical Systems

Juan M. Solá Dr. Isidoro Couvertier UDP, TCP, and IP Fragmentation Analysis and its Importance in TOW Devices

Special Editions: January - May 2003

Identifying Determinants of Biological Specificity among Protein Families: A Case Study of Aldehyde Dehy-drogenases and Glutathione S-Transferases CISE-TLS Special Edition 7 Doctoral CISE Seminar - Dr. Hugh B. Nicholas Jr. Pittsburgh Super Computing Center February 26, 2003 The Mattson-Solomon Polynomial: An Elementary Introduction CISE Lecture Special Edition II - Dr. H. F. Mattson Jr. March 20, 2003 A New Approach to 2D/3D Interleaving and its Application to Digital Image and Video Watermarking CISE Lecture Special Edition III - Dr. Yun Qing Shi New Jersey Institute of Technology Distinguished IEEE Lecturer April 1, 2003

4.0 PRECISE Students

Dr. Jaime Seguel in the PRECISE Stu-dents Meeting on February 20, 2003

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PRECISE Infrastructure Assistantships

Name Advisor Research Title Carlos Huallparimachi Dr. Domingo Rodríguez Java-Based Tool for Synthetic Aperture Radar

Image Analysis Ana M. Molina, Dr. Manuel Rodríguez XRoaster: A Tool for Catalog Management

on Middleware Alejandra Umaña Dr. Miguel Vélez Unsupervised Band Selection Algorithm for

Hyperspectral Imagery

MS Student Advisor Research Title

Naomi Acosta Dr. Jose Borges Development of Efficient Data Input Tech-niques for Clinical Applications on PDAs.

Daniel Burbano Dr. Jaime Seguel A Self-Adaptive MPI Program

José F. Enseñat Dr. Manuel Rodríguez Design, Development and Implementation of a Registration Server for the NetTraveler Mid-dleware System

Maria I. Diaz Dr. Domingo Rodríguez Java-Based Environment for the Implementa-tion of Kronecker Mask Imaging Filters

Elisa Maldonado Dr. Daniel Mcgee The Use of Backpropagating Neural Networks in Coordination with Logistic Spline Coeffi-cients to Obtain the Change Point

Viviam Murillo Dr. Néstor J. Rodríguez Usability Study of a Computer-Based Patient Record

Hilaura Nava Dr. Domingo Rodríguez Modeling and Simulation of Point Spread Functions for Advanced SAR Systems

Irvin Ortiz Dr. Manuel Jiménez Scalable Pipeline Insertion in Floating-Point Units for FPGA Synthesis

Freddy Perez Dr. Wilson Rivera An Object-Oriented Framework for Parallel Incompressible Flow Simulations

Roberto Piñero Dr. Jorge Ortiz Evolutionary Training of Morphological Neural Networks

Alberto Quinchanegua Dr. Domingo Rodríguez Computing Methods for Signal Algebra Op-erators: A DSP Core Implementations Ap-proach

Yeida Rodríguez Dr. Néstor J. Rodríguez A Study of the State of the Art of Medical In-formatics in Hospitals in Puerto Rico

Yajaira Soler Dr. Néstor J. Rodríguez Development of User Interfaces for Accessing Electronic Patient Record Systems with Hand Held Devices

Leonid Tolstoy Dr. Hamed Parsiani Multisensor Fusion Algorithms for Object De-tection, Using Subsurface Data

José Torres Dr. Bienvenido Vélez Elastically Replicated Information Services

Jairo Valiente Dr. Bienvenido Vélez INFORADAR_ML: A Multi-Lingual Information Discovery Tool Exploiting Automatic Docu-ment Categorization

Ivan A. David Dr. Jaime Seguel Behavioral Analysis of Cilk Multithreading Pro-grams Running on Multiprocessor Computer Systems

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Research Groups

Part C: Accomplishments - PRECISE’s SUCCESS STORIES

1.0 COMPUTATIONAL STATISTICS AND DATA ANALYSIS GROUP

Edgar Acuña, [email protected], Coordinador Daniel McGee, [email protected] 1.1 Description This group is dealing with research work in two areas: Computational Statistics: where we look for the explicit impact of computers on statistical methodology, such as: algorithms, computer graphics, computer intensive inferential methods, expert systems, neural net-works, parallel computing and statistical databases. Statistical Methodology for data analysis, where we explore for new data analysis strategies and method-ologies such as: classification, data exploration, density estimation, design of experiments, pattern recogni-tion/image analysis and robust procedures, comparison of statistical methodology and simulation of experi-ments. 1.2 Current Participation in Competitive Research Grants “Combining Classifiers Involving Kernel Density Estimates and Gaussian Mixtures”, Sponsored by Office of Naval Research (Edgar Acuña) “Visualization Tools for 3d,” Sponsored by NSF (D. McGee, Martinez-Planell (Co-PI) “Water Quality and Marine System Indicators: Development of a Statistical Model for an Integral Assess-ment,” Sponsored by NOAA (J. González, D. McGee (Co-PI), and A. San-Juan (Co-PI)) “Web Based Technology for Calculus,” Sponsored by Dept. of Education (D. McGee, Vazquez (Co-PI), Cáceres (Co-PI), Martinez Planel (Co-PI)) 1.3 Strategic R&D with other Institutions Medical University of South Carolina: Barbara Tilley, Zhen Zhang Navy Laboratory at Virginia: David Marchette and Jeffrey Solka. 1.4 Research Summaries 1.4.1 Improvement of Supervised Pattern Recognition Techniques - Dr. Edgar Acuña The research deals with the use of computer intensive methods in statistics to improve supervised pattern recognition techniques. Computer intensive methods involve three aspects: First, the use of powerful com-puters including parallel computers. Second, the development of efficient algorithms to carry

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out the procedures, and, Third, the programming to perform the algorithms with accuracy and minimizing the running time. Supervised pattern recognition has plenty of applications, but we are more interested in engineering and biomedical (Bioinformatics) applications. The expected research outcomes are:

• Feature selection for classifiers based on Kernel density estimation. This part will be the master thesis of my student Zoraida Morales and it started in August 2001.

• Improvement of classifiers based on Gaussian Mixtures through the use of bagging and boost-

ing. This kind of classifiers has a lot of applications even in unsupervised pattern recognition and involves parallel computation. This part will be the master thesis of my student Luis Daza and it started in august 2001. This work will be extended by my doctoral student Jose Vega in his thesis.

• Applications to genomics of improved classifiers based on Kernel density estimators and Gaus-

sian mixtures. This will be the master thesis of my student Adriana Lopez and started in august 2001.

• Improvement of Support Vector Machine through the use of bagging and boosting. This new

kind of classifiers but has gained a lot of attention very quickly. I am planning to use two stu-dents for this part. My students Frida Coaquira and Elio Lozano will be working during the year 2002 in this project and it will be their master thesis. Both of them are planning to continue doc-toral studies in CISE.

1.4.2 Bioinformatics—Dr. Daniel McGee The research is conducted in coordination with the BioInformatics Department of the Medical University of South Carolina and concentrates on the application and development of Bioinformatics techniques when applied to medical and educational databases. In particular, neural networks, cluster analysis, genetic algorithms, principal component analysis, and normal statistical methodologies will be used and improved upon in these environments. Goals:

• Make significant improvements to the training process for neural networks when used on medi-cal and educational databases

• Compare the effectiveness of neural networks with traditional methods when applied to medi-cal databases

• Establish the degree to which and the method by which the dimensionality of large records in medical or educational databases may be reduced

• Obtain clusters within medical and educational fields to identify endpoints or classes with which records may be associated

• Create an overall system to analyze medical and educational databases that will obtain the minimum necessary dimensionality per record, will obtain appropriate endpoints with which re-cords may be associated, will train in a considerably expedited fashion neural networks that will obtain the probability that a record should be associated with a given endpoint.

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Domingo Rodríguez, [email protected], Coordinator Manuel Jiménez, [email protected] Isidoro Couvertier, [email protected] 2.1 Description The Digital Systems Implementation (DSI) Group has as main objective to conduct basic and applied re-search in the design and development of efficient rapid systems prototypes for digital electronics applica-tions. Special attention is given to prototypes for digital vector testability for large scale digital designs, FPGA development for emulation and simulation of signal processing computing methods, and the devel-opment of Integer Representation-based CAD tools. Target applications include remote sense imaging cir-cuits, coding and cryptography systems, wavelength division multiple-access (WDM) communications cir-cuits, and other large scale computing applications in Signal Processing and Communications. This re-search group is associated with newly created RASP Laboratory. A main mission of the RASP Laboratory is to enable graduate students acquire the necessary training, skills, expertise, and capabilities to conduct academic and industrial research work in the field of rapid prototyping digital-based systems, in general, and digital signal processing systems, in particular. 2.2 Current Participation in Competitive Research Grants

• “Continuation of the TI Analog, Digital, and Mixed-signal Electronics Program at the UPRM” Re-searchers: Rogelio Palomera (PI), Manuel Jiménez (Co-PI), Manuel Toledo Quiñones (Co-PI). Sponsor: Texas Instruments

2.3 Strategic R&D Alliances with other Institutions

• Texas Instruments, Inc. 2.4 Research Summaries 2.4.1 The Integer-Pair Representation: A Suitable Format for the Parallel Manipulation of Boolean Algebra — Dr. Manuel Jimenez This work deals with the creation of a new format to represent binary terms in Boolean functions, called the Integer Pair Representation (IPR). This novel format uses an ordered pair of integers to compactly represent each cube of a Boolean function written as a sum-of-products in either canonical or non-canonical form. Properties of the representation have been formally established unveiling its advantages for developing algorithms enabling the concurrent processing of Boolean variables on SISD machines. In the current stage of development, these properties and algorithms have been combined to develop a prototype program for minimizing single-output binary valued Boolean functions. 2.4.2 Scalable Computing Methods for Signal Processing Systems — Dr. Domingo Rodriguez This work deals with the analysis, design, and implementation of communications signals and circuits for sig-nal processing systems. In particular, the work concentrates on developing scalable computing methods in signal processing for various stages of transmitter and receiver circuits and systems in digital radar systems, and digital communications systems in general. New hardware development strategies for signal synthe-sis, digital modulation, and channel coding techniques are being studied for signal transmission and recep-tion efforts in multi-input multi-output (MIMO) adaptive sensor array radar systems. Special attention is being given to time-frequency representation techniques for the firmware implementation of surface point target response functions for synthetic aperture radar (SAR) processing operations. Kronecker signal algebra is be-ing used for the study of structured multirate array sensor signal processing systems.

2.0 AUTOMATED INFORMATION PROCESSING & DIGITAL SYSTEMS IMPLEMENTATION GROUP

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2.4.3 TCP/IP Offloading for Multi-Homed Servers — Dr. Isidoro Couvertier This work is focused on TCP/IP (Transport Control Protocol/Internet Protocol) offloading based on frame car-rier protocols, especially Ethernet. Studying Ethernet offloading as a frame carrier protocol is a feasible way to manage parallelism for multi-homed servers. The first stage of TCP/IP offloading begins with frame carrier offloading as a stepping-stone for higher offload layers of TCP/IP. The first stage of this project is based on frame carrier protocol. Overall concepts of computer networks, programming languages and compilers, operating systems, and application development will be used for the completion of this work. In addition, this work will address the subject of offloading onto an intelligent network card and the real time operating systems issues in relation to the TCP/IP offloading itself.

Wilson Rivera, [email protected], Coordinator Jaime Seguel, [email protected] 3.1 Description The Parallel and Distributed Computing Group performs research in the design, implementation, and effi-ciency measurements of parallel algorithms. It also addresses research issues related to parallel and distrib-uted computing systems with an emphasis in high-performance cluster computing and Grid computing. Our work includes a wide spectrum of experiences from computing systems (e.g., self-optimizing software, hybrid multithreaded-distributed computing environments, performance testing, etc), to mathematical modeling and simulation of physical and biological phenomena, and the mathematics of algorithm design and optimization. http://www.ece.uprm.edu/PDC 3.2 Current Participation in Competitive Research Grants 3.2.1 Pending Proposals

• NSF-ITR proposal: “Intrusion Detection & Countermeasure System Design Prob-lems.” (Collaboration with WPI)

• NSF-ITR proposal: “BTeV Breaking Down Barriers.” (Collaboration with FermiLab) 3.3 Strategic R&D Alliances with other Institutions

• Pittsburgh Supercomputing Center (Dr. David Deerfield, Biomedical Division) • Mississippi State University (Dr. Ioana Banicescu, Computer Science) • University of Akron (Dr. Jianping Zhu, Applied Mathematics) • Northeaster University (Dr. David Kaeli, Electrical and Computer Eng.)

3.4 Research Summaries 3.4.1 Domain Decomposition Methods – Dr.. Wilson Rivera A new method based on explicit predictor and implicit corrector (EPIC) for generating numerical interface boundary conditions between subdomains has been proposed. We have applied the EPIC method to the solution of nonlinear equations on structured grids. The numerical results have shown that for transient prob-lems the boundary treatment performed using the EPIC method yields significant improvement in accuracy

3.0 PARALLEL AND DISTRIBUTED COMPUTING GROUP

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compared to the traditional time-lagging (TL) method. The EPIC method showed better accuracy than time-lagging for detecting unsteady shocks. Also, the EPIC method demonstrated high quality solution at high CFL conditions, while the TL method demonstrated a reduction in quality as the CFL number was in-creased. In addition, the results showed that the new parallel algorithm is scalable as the number of proc-essors increases. We plan to extend the EPIC methodology to unstructured grids. Unstructured grids offer a means to easily generate grids around very complex configurations since no predefined connectivity must be maintained, therefore, providing more flexibility and more optimal meshing point distribution. Strategies of treating subdomain interface connectivity and coupling in the parallel unstructured solution algorithm are being investigated. 3.4.2 Special Purpose Fast Fourier Transform (FFT) Algorithm - Dr. Jaime Seguel The FFT is crucial to scientific computation. In several of these instances, the data to be transformed pos-sesses special features such as symmetries, irregular shapes, or, as in physics, some degree of accuracy is demanded. The proposed research is intended to design and test algorithms for applications such as Volterra filters, Poisson solvers, and Crystallographic FFTs. This work concentrates on the use of mathemati-cal properties for improving the computation of multidimensional FFTs of data sets endowed with special features such as symmetries or irregular shape, and improving the precision of FFT computations. The work contemplates implementations on parallel computing environments as well as the design of special pur-pose compilers for the efficient production of performance critical code segments. 3.4.3 Self-optimization Methodologies for Local Area Networks and the Grid – Dr. Jaime Seguel & Dr. Wilson Rivera Currently, one of our major research efforts focuses on the design of self-optimizing software systems. Real-world computer systems are never completely described by any theory. Because of this lack of theoretical understanding it is not possible to design high-performance algorithms that are oblivious to the network ar-chitecture and its underlying system software. Self-adaptive software attains high performance by allowing an application to adapt the computation to the significant details of the computing system, automatically. Successful experiences have shown the validity of using meta-programming for automatic performance optimization. The meta-program collects significant information on the performance of the application on a particular system and modifies it, accordingly. These experiences have been mainly carried out on shared memory parallel computers. We propose to extend this approach to local area networks (LANs) and the Grid.

The Advanced Technology Platforms – Itanium 2 Academic Grant Initiative Program of Hewlett-Packard has awarded a $151k grant to the Parallel and Distributed Computing Group. The title of the proposal submitted by Dr. Wilson Rivera and Dr. Jaime Seguel was “Enhancing high performance comput-ing research and education at UPRM.” This award ha been matched with $126k by Hewlett-Packard Puerto Rico committed to foster computing re-search at UPRM.

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Manuel Rodríguez -Martínez, [email protected], Coordinator Bienvenido Vélez, [email protected] Pedro I. Rivera Vega, [email protected] Fernando Vega, [email protected] 4.1 Description Our research will focus on the design and implementation of next generation database and information retrieval systems with emphasis on Web information systems, handheld devices, reliability and fault toler-ance, multimedia databases and cluster computing. 4.1.1Vision Establish a premier Research and Development Center dedicated to the advancement of Information Management Technologies, including: Database Management, Information Discovery, Network Middle-ware, and Database-Enabled Web Applications. 4.1.2 Mission

• The ADM Group is committed to conduct both theoretical and practical research aimed at the discovery of new theories and the development of new systems with particular emphasis on technologies with the potential for deep impact on the improvement of the quality of life in our society.

• The ADM group is committed to the advancement of Data Management technologies. Spe-

cific areas of emphasis include: Database Management, Information Retrieval and Discovery, Fault-tolerant Systems, Integrating Systems, Interoperability, and reliable Information Storage and Dissemination.

• The ADM group is committed to the integration of research and education through the rapid

transfer of discoveries to the classroom. The group will be one of the main driving forces behind the development of the curriculum pertaining to Data Management at the University of Puerto Rico.

4.1.3 The ADM group is currently working on the following projects:

• Data Service Composition in Peer-to-Peer Architectures (P2P) • Verizon Intelligent Home (iHome) • Dynamic Image Retrieval and Composition Services in Distributed Information Systems • Adaptively Replicated Information Services (ARIS) • Fault-tolerant Mass Transit Passenger Information Systems (TU-PIS) • Inforadar: Document Classification using Query Lookahead • Open Source Operating Systems (collaboration with IBM)

4.2 Current Participation in Competitive Research Grants

• O2S2 Sponsored by IBM (B. Velez and J. Arroyo (Co-PI)

4.0 ADVANCE DATA MANAGEMENT GROUP

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4.3 Strategic R&D Alliances with other Academic and Industrial Institutions • IBM – Open Source Operating Systems Project • Tren Urbano - Passenger Information System • CenSSIS Engineering Research Center - Dynamic Image Retrieval and Composition Services in Distrib-

uted Information Systems 4.4 Research Summaries 4.4.1 Interactive Queries Hierarchies for Effective Information Discovery at UPR-Mayagüez – Dr. Bienvenido Vélez Advances in processor technologies suggest that future search engines will be capable of spending orders of magnitude more processing capacity per user request without inducing noticeably larger response times. A new information discovery technique called query lookahead invests additional computation on the eager evaluation of multiple queries automatically generated from an initial user query. Query lookahead has the potential of improving search systems in at least two novel ways. First, it enables the deployment of anticipatory user interfaces capable of presenting the result sets of automatically gen-erated refined queries ahead of time. Refined queries serve as categories upon which a large and impre-cise result set can be organized. Second, query lookahead has the potential of improving the effectiveness of feature (e.g. term) selection algorithms. These algorithms can be improved by exploiting information about the result set induced by each potential feature when combined with the user query. This research focus on a new network search system, InfoRadar, exploiting query lookahead along these two lines. In re-sponse to a user query, InfoRadar displays a hierarchically organized selection of refined queries that we call an interactive query hierarchy. We have developed InfoRadar as a vehicle for testing our hypothesis that interactive query hierarchies can improve information discovery effectiveness. InfoRadar has three main software components: a multi-threaded Java applet, a server module and an indexing module. In-foRadar supports boolean queries using a syntax borrowed from the popular Altavista (www.altavista.com) search engine. In response to a query request from the applet, the InfoRadar server returns a hierarchy of queries together with their individual result set. 4.4.2 Data Composition Services in Peer-to-Peer Architecture – Dr. Manuel Rodríguez-Martínez Next-generation Distributed Information Systems will consist of hundreds of thousands, perhaps millions, of diverse data sources located on geographically distributed networks like the Internet. In these types of large-scale distributed environments, heterogeneity in terms of hardware devices, software components, network connectivity and system configuration will be a fundamental characteristic of the data sources. In fact, these data sources might reside on high-end servers, desktop computers, mobile laptop computers, hand-held devices, intelligent sensors and appliances, or embedded computer systems. Data integration and interoperation between these data sources will be a critical requirement to harvest the vast amounts of valuable information stored and maintained by the data sources. Information could be extracted from any available data source, whether it is a satellite image from an Earth Science data-base, or a phone book list, encoded in XML, that is extracted from a Palm-Pilot. Therefore, a data source site cannot be defined based on the size of stored data sets, or on the software environment being run, but rather, on whether other sites in the system retrieve the information held by the data source. In the other words, a data source is any site that provides a service to access some kind of data. Clearly, the distinction between what constitutes a client site and what constitutes a server site will be blurred, since any site can act as a client or as a service provider to another site in the system. Moreover, the sheer number and di-versity of data sources implies that there cannot be a single authority that effectively coordinates and con-trols the access to data, or to the computational services in the system. These observations motivate us to conduct research and point us in the direction of a peer-to-peer dynamic environment [6,26] in which any

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site can request or serve data, and must engage in a cooperative effort aimed at satisfying the requests for data and services associated with the queries posed by interested end-users. We envision a decentralized Peer-to-Peer software framework in which user-defined code and control is released to the local executing sites (client or data sources), which will decide which are the sites that will supply data, computational services, and the aggregation of results. The receiving site may partially exe-cute its code on its local environment, and pass it along with partial results to next peer site, or coalition of peer sites that will continue with the computational process. This framework is based on a model for com-position of data services, where one site performs a given task and ships its results, plus some control infor-mation, to another site that will continue with the computational process. 4.4.3 Implementation of a Prototype for Knowledge Management in Higher Education – Dr. J. Fernando Vega-Riveros The research consists in the implementation of a prototype of a knowledge system. The implementation includes two classes of distributed agents, one denoted user agent which acts as a knowledge broker for the user; the other denoted service agent receives queries to a knowledge repository from the user agents. The knowledge-base may be distributed and conformed by several knowledge repositories. In addition, the user client includes an expert system which assists in the construction of queries making inferences on the ontology or ontologies defined for the knowledge domain or domains present in the knowledge-base using a dialog-like or conversational interaction. It is important to highlight that in this proposal we refer not only to queries for information retrieval but for information storage as well. This is based on the highly inter-active model for knowledge-management that has been devised and which assumes that users generate knowledge which becomes explicit through information resources and that are produced and analyzed in the source, i.e., by the user. 4.4.4 The Smart Mirrors Project - Dr. Pedro I. Rivera-Vega We consider the problem of serving data being requested through the Internet, with the goal of complet-ing the service in minimum time (turnaround time). We are working on a distributed peer to peer mirror sys-tem, the Smart Mirrors System that continuously collects information from peers, in order to decide the best approach to follow in serving each request. The information being interchanged describes two important factors that need to be taken into consideration by the system: the work load of each server and the net-work bandwidth. When a request is received the system uses this information, and further collaborates with the client site, in order to finally assign the task to the most appropriate server. The different research issues being considered are: architecture of the system, cost model to estimate service time of each particular server, interchange of information and service requests among peers, and real experimentation. We dis-cuss these research issues under consideration and present preliminary results. At this stage of the project, we are considering only static data requests, and a system in which each of the servers (peers) have the same data. We are in the process of real experimentation of our approach. We plan to further expand this project to the case in which a more dynamic environment exists in terms of data available in each of the servers,

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The CRC 2003 conference was celebrated on April 5 of this year. This year, six papers were selected for oral presentation and 29 for poster presentation (see list below). All the papers were included in the pro-ceeding of the conference and were presented by graduated as a result of their research effort. This year we had the participation of Aldo E. Briano from Southwestern Educational Society High School. The papers as well as other information about the conference is available on the conference website at: http://ece.uprm.edu/crc/crc2003 The keynote address were given by Eng. Raymond Laureano, President of the Institute of Computer Engi-neers, College of Engineers and Land Surveyors of Puerto Rico, and Eng Neymar Maldonado, Information Technology Advisor of the Office of Management and Budget, Commonwealth of Puerto Rico. The chairmen of the conference were Nestor J. Rodriguez and Domingo Rodriguez. The Organizing Committee was formed by Carmen V. Santiago, Waleska Campos and Nestor J. Rodriguez.

Computer Research Conference 2003

Part D: Dissemination Activities

An Efficient Implementation of the Parallel Prime Edge-Length Crystallographic FFT Student: Daniel A. Burbano Advisor: Dr. Jaime Seguel Signal Processing Implementations Using Simulink® Student: Alberto Quinchanegua & William Sánchez Advisor: Domingo Rodríguez Integer Pair Representation for Multiple-Output Logic Student: Rafael A. Arce Nazario Advisor: Dr. Manuel Jiménez Behavioral Modeling of Sigma-Delta Modulators Based on Symbolic Admittance Matrix Student: Félix O. Fernández Advisor: Dr. Manuel A. Jiménez Finite Fields are Better Booleans Student: Humberto Ortíz-Arzuaga Advisor: Dr. Oscar Moreno UDP, TCP, and IP Fragmentation Analysis and its Importance in TOE Devices Student: Juan M. Solá-Sloan Advisor: Dr. Isidoro Couvertier

Oral Presentations

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Analyzing the Parts Behavior in a Vibratory Bowl Feeder to Predict the Dynamic Probability Profile Student: Abigail Santos Advisor: Dr. Lourdes M. Rosario Extended Java-FFT Environment Student: Alberto Quinchanegua & Iván García Advisor: Dr. Domingo Rodríguez Development of a Database Middleware System to Support Remote Sensing Analysis over Distributed Data Sources Student: Alcides Alvear Advisor: Dr. Manuel Rodríguez-Martínez A Comparison of A Rule Definition Language (RDL) and the JAVA Object Oriented Language for Implement-ing a Distributed System Student: Amarilis Cuaresma Advisor: Dr. Néstor Rodríguez A Musical Signal Analyst Student: Aldo E. Briano Advisor: Dr. Domingo Rodríguez TERRASCOPE CLIENT: An Interactive Image Browser for an Earth Science Information System Student: Amaury Cabarcas Advisor: Dr. Bienvenido Vélez Xroaster: A Tool for Catalog Management on Middleware Databases Systems Student: Ana M. Molina Advisor: Manuel Rodríguez-Martínez A Java-Based Tool for Image Analysis over Distributed Networks Student: Carlos Huallparimachi Advisor: Dr. Domingo Rodríguez Experimental Validation of Bulk Synchronous Parallel on Origin 2000 Student: Elio Lozano Advisor: Dr. Edgar Acuña The Use of Backpropagating Neural Networks in Coordination with Logistic Spline Coefficients to Obtain the Change Point Student: Elisa M. Maldonado Advisor: Dr. Daniel McGee TERRASCOPE SRE: Search and Retrieval Engine of Earth Science Information System Student: Enna Z. Coronado Advisor: Dr. Manuel Rodríguez-Martínez

Poster Presentations

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An Object Oriented Framework for Computational Fluid Dynamics Simulations Student: Freddy Pérez Advisor: Dr. Wilson Rivera Modeling and Simulation of Point Spread Functions for Advanced SAR Systems Student: Hilaura Nava Advisor: Dr. Domingo Rodríguez Scalable Pipeline Insertion in Floating Point Units for FPGA Synthesis Student: Irvin Ortíz Advisor: Dr. Manuel Jiménez Behavioral Analysis of Cilk Multithreading Programs Running in Multiprocesor Computer Systems Student: Iván A. David Advisor: Dr. Jaime Seguel Mapping and Characterization of Applications in Heterogeneous Distributed Systems Student: Jaime Yeckle Advisor: Dr. Wilson Rivera Design, Development and Implementation of a Registration Server for the NetTraveler Middleware System Student: Jose F. Enseñat Advisor: Dr. Manuel Rodríguez-Martínez A Case for Elastic Replication Information Services Student: Jose E. Torres Advisor: Dr. Bienvenido Vélez Supporting Multimedia Applications with NetTraveler Student: Juan P. Carvajal Barreto Advisor: Dr. Manuel Rodríguez-Martínez Comparison of Neural Network Classification Methods Applied to Subsurface Radar Images Based on Sin-gle Echo and Hyperbolic Signature Student: Leonid Tolstoy Advisor: Dr. Hamed Parsiani Combining Classifiers Based on Gaussian Mixtures Student: Luis Daza Advisor: Dr. Edgar Acuña Towards the Development of a Learning Management System: A Case Study of Students’ use of Information Student: Manuel G. Millán & Sharissa Kamer Advisor: Dr. J. Fernando Vega Instruction Level Power Profile for the Power PC Microprocessor Student: Oscar Acevedo Advisor: Dr. Manuel Jimenez

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Evolutionary Training of Morphological Neural Networks Student: Roberto C. Piñeiro Advisor: Dr. Jorge L. López Pixel Unmixing using Positive Matrix Factorization Student: Samuel Rosario Advisor: Dr. Miguel Vélez-Reyes Classification by Support Vector Machines Student: Santiago Velasco Advisor: Dr. Edgar Acuña Texture Synthesis using Reaction-Diffusion Student: Vidya Manian Dr. Ramon Vásquez Order Entry Interface for a Computer-Based Patient Record System Student: Viviam Murillo Advisor: Dr. Néstor Rodríguez A Comparison of a Nursing Documentation Application for PDAs and Laptops Student: Yajaira Soler Advisor: Dr. Néstor Rodríguez

Participants at the PRECISE’s Sponsored 2003 Computing Research Conference

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Participants at the PRECISE’s Sponsored 2003 Computing Research Conference

Part E: Assessment Activities

This section provides various graphics that show the performance in publication efforts as well as the de-gree of student participation.

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0

5

10

15

20

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30

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Publications by Year

Total Journal

Total 20 23 41

Journal 6 11 8

April 00 to March 01 April 01 to March 02 April 02 to present

0

1

2

3

4

5

6

7

CSDA ADM PDC AIP-DSI Other

Journals Publications by Research Groups

April 00 to March 01 April 01 to March 02 April 02 to present

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0

2

4

6

8

10

12

14

Publications in Refereed Conferences (with proceedings) by Research Groups

April 00 to March 01 April 01 to March 02 April 02 to March 03

April 00 to March 01 1 0 0 4 9

April 01 to March 02 0 2 3 4 3

April 02 to March 03 4 5 3 13 8

CSDA ADM PDC AIP-DSI Other

PRECISE Student by Gender

0

2

4

6

8

10

12

14

16

18

20

Female Male

Female 1 1 1 3 6 8 8 9 10 6 9

Male 1 3 5 11 14 17 18 15 15 14 13

99-00 99-00 2000 00-01 00-01 2001 2001-02 2001-02 2002 002-003 002-003

1st sem. 2nd sem. Summer 1st sem. 2nd sem. Summer 1st sem. 2nd sem. Summer 1st sem. 2nd sem.

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4

6

8

10

12

14

Female

Male

Ph.D. Students by Gender

Female Male

Female 4 4

Male 8 14

Academic Year 01-02 Academic Year 02-03

Part F: Budget: Funds Distributions

Budget

Technical Personnel

Graduate Stipends

EquipmentTravel

Participant Support

Indirect Cost

Consulting

Other Costs

This year’s NSF and UPR contributed budgets were distributed as shown in the charts that follow.

NSF Budget Distribution

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32 EIA 99-77071 PRECISE PROJECT

Graduate Stipends

Personnel

Release Time

Equipment & Maintenance

UPR Budget Distribution

The portions of the budget used and available as of April 30th are presented in the table below.

NSF Contribution Original Used Available

Technical Personnel 10,553 0 10,553

Graduate Stipends 76,050 73,315 2,735

Equipment 10,000 0 10,000

Travel 60,000 46,848 13,152

Participant Support 6,000 4,598 1,402

Other Costs 8,000 7,999 1

Consulting 15,000 9,463 5,537

Indirect Cost 45,654 45,654 0

UPR Contribution

Graduate Stipends 96,375 94,045 2,330

Personnel 97,356 39,608 57,748

Equipment & Maintenance 46,745 30,783 15,962

Release Time 61,510 61,510 0

Fourth Year Budget

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33 EIA 99-77071 PRECISE PROJECT

The following chart shows the relationship between the used and available NSF funds for this fourth year.

$0

$10,000

$20,000

$30,000

$40,000

$50,000

$60,000

$70,000

$80,000

TechnicalPersonnel

GraduateStipends

Equipment Travel ParticipantSupport

Other Costs Consulting Indirect Cost

Available

Used

The chart below shows the distribution of the funds contributed for research assistantships by NSF and UPR from last summer.

0

10,000

20,000

30,000

40,000

50,000

60,000

Summer 02 Fall 02 Spring 03

NSFUPR

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The following chart shows the distribution of the funds awarded for PhD and MS research assistantships.

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

Summer 02 Fall 02 Spring 03

PhDMS

The following chart shows the relationship between the used and available UPR funds for this year.

$0

$10,000

$20,000

$30,000

$40,000

$50,000

$60,000

$70,000

$80,000

$90,000

$100,000

Graduate Stipends Personnel Equipment &Maintenance

Release Time

Available

Used

Used and Available UPR Funds

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Part F: Budget: Funds Distributions

Concluding Remarks

A principal objective of the PRECISE Project is to demonstrate a sustained commitment of integrating re-search and education by incorporating technology into the curriculum, generating new knowledge, skills, scientific and engineering talent, and innovative research ideas. It is our hope to enhance with this action the research culture in CISE areas at UPRM ant Puerto Rico in general. It is our deep believe that a science and engineering infrastructure is paramount to a nation’s world competitiveness. Towards this end, we find as a barrier the lack of sustained coupled interaction between academia, local government, and local industry to carry out a concerted effort to meet this principal objective. We see as an opportunity the emerging realization of local industry and government that this interaction is necessary and very much needed for the technological and economic development of Puerto Rico.

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For more information

[email protected]

Prepared by: Ms. Carmen V. Santiago Edited by: Dr. Domingo Rodríguez

UNIVERSITY OF PUERTO RICO AT MAYAGÜEZ CAMPUS

BOX 9038 Mayagüez, P.R. 00680-9038

Outreach

Phone: (787) 834-7620 ext. 2294 Fax: (787) 834-7620 ext. 2295

E-mail: [email protected]