Horizons in computer science research. Vol. 3 /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Clary, Thomas S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, Inc., Ã2012.
Temas:
Computer science > Research.
Informatique > Recherche.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Computer science > Research
Acceso en línea:Texto completo
Tabla de Contenidos:
  • HORIZONS IN COMPUTER SCIENCE RESEARCH. VOLUME 3 ; HORIZONS IN COMPUTER SCIENCE RESEARCH. VOLUME 3 ; CONTENTS; PREFACE ; Chapter 1OPEN-SOURCE SOFTWARE FOR COMPUTATIONAL NEUROSCIENCE: BRIDGING THE GAP BETWEEN MODELS AND BEHAVIOR ; ABSTRACT ; 1. INTRODUCTION ; 2. THE KINNESS SOFTWARE ; 2.1 SANNDRA: The Distributed Computing Core of KInNeSS; 2.2 How to Use KInNeSS: Quick Start ; 2.3 Simulating Behaviors with KInNeSS ; 2.3.1 The Navigation projectenvironment; 2.3.2 The Generic projectenvironment; 2.4 Network Editor ; 3. XML SUPPORT; 4. DESIGNING NETWORKS OF SPIKING NEURONS IN KINNESS
  • 4.1 Injection and Input 4.2 Gap Junctions, Inter-compartmental Currents, and Passive Leak Currents ; 4.3 Voltage-gated Channels ; 4.4 Ligand-gated Channels ; 4.5 Voltage Block ; 4.6 Current Modulation Gating Variable ; 4.7 Afterhyperpolarization (AHP) / Afterdepolarization (ADP) Gating Variable ; 4.8 Quadratic Integrate-and-Fire Model ; 4.9 Connectivity; 4.10 Weight Modification and Learning Rules; 4.11 Data Analysis ; 5. PLUG-IN DEVELOPMENT ; 6. KINNESS BENCHMARK PERFORMANCE ; 7. FUTURE DEVELOPMENTS OF KINNESS ; 8. CONCLUSIONS ; ACKNOWLEDGMENTS ; REFERENCES
  • Chapter 210 YEARS OF SOFTWARE DEVELOPMENT FOR APPROXIMATE BAYESIAN COMPUTATION ABSTRACT ; INTRODUCTION ; QUICK INTRODUCTION TO BAYESIAN INFERENCE ; ORIGIN OF APPROXIMATE BAYESIAN COMPUTATION ; ABC Algorithims ; ABC-rejection ; ABC-regression ; RECENT DEVELOPMENTS IN ABC ; Efficient Sampling from the Priors ; MCMC-ABC methods; Sequential methods; Hierarchical Bayesian methods; Conditional Density Estimation ; OPTIMIZING A STANDARD ABC METHOD ; Choosing the Number of Iterations and the Tolerance Interval ; Choosing the Summary Statistics Set ; PERFORMING A MODEL-CHOICE TEST WITH ABC
  • EXISTING PACKAGES TO PERFORM ABC WHAT OTHER FIELDS COULD BENEFIT FROM ABC? ; CONCLUSION ; REFERENCES ; Chapter 3 ANOVEL MIDDLEWARE ARCHITECTURE FOR UBIQUITOUS HEALTHCARE APPLICATIONS; ABSTRACT; 1. INTRODUCTION; 2. RELATEDWORK ; 3. SYSTEM DESIGN; 3.1Personal Healthcare Module; 3.2LiveGraph and Oscilloscope ; 3.3MedRec Architecture ; 4. ARCHITECTURE OFPROPOSEDMIDDLEWARE ; 5. PERFORMANCE ANALYSIS; 5.1Memory Management ; 5.2Security Management ; CONCLUSION ; ACKNOWLEDGMENTS; REFERENCES; Chapter 4USING CRAWLERS TO COLLECT ERROR DATA FROM OPEN SOURCE SYSTEMS ; ABSTRACT ; INTRODUCTION ; LANGUAGE CHOICE
  • THE CRAWLER TOOL DESIGN The Architectural Design of the Crawlers ; The Detailed Crawler Design for the SUN Products ; THE DETAILED CRAWLER DESIGN FOR THE ECLIPSE SYSTEM ; CONCLUSION ; REFERENCES ; Chapter 5SOFTWARE FOR THE DETERMINATION OF TRACK PARAMETERS IN NUCLEAR TRACK DETECTORS ETCHED IN REVERSE DIRECTION ; 1. INTRODUCTION ; 2. METHODOLOGY ; 2.1 Direct Etching ; 2.2. Solving of Eq. 1 by Finite Difference Method and the Calculation of Track Wall Coordinates ; 2.3. Etching in Opposite Direction (Reverse Etching) ; 2.4. The choice of the coordinate system

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