Search Results - computer program testing data processing.

Connect to the full text of this electronic book

Table of Contents: “...Hypercube Supercomputing; Introduction; Design Issues for Multiprocessor Computers; The Hypercube Multiprocessor Computer; Hardware, Operating System, Software; The Hypercube Interconnection Network; Programming the Hypercube; Partitioning Techniques; Application Examples; Application Programs; Seismic Data Processing Example; Conclusions; References; Chapter 8. ...”
Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Table of Contents: “...Unifying Data for CAD-Frames and Testing --...”
IEEE Xplore
Restricted to ACM Digital Library subscribers

Table of Contents: “...Game -- 7.3.2 The Active Object Design -- 7.3.3 The Implementation -- 7.3.4 The Port for ARM Cortex-M3 -- 7.3.5 Testing -- 7.4 Summary -- Chapter 8 Design of QF -- 8.1 Handling Errors and Exceptional Conditions -- 8.2 Memory Management -- 8.3 Mutual Exclusion and Blocking -- 8.4 Active Objects -- 8.5 Event Management in QF -- 8.6 Event Delivery Mechanisms in QF -- 8.9 Deferring and Recalling Events in QF -- 8.7 Time Events -- 8.8 Summary -- Chapter 9 Implementation of QF -- 9.1 Code Organization -- 9.2 Critical Section in QF -- 9.3 General QF Policies Enforced by Assertions -- 9.4 Active Object class -- 9.5 Native QF Event Queue -- 9.6 Native QF Memory Pool -- 9.7 Native QF Priority Set -- 9.8 Native QF Scheduler -- Chapter 10 Porting QF -- 10.1 QF Porting Guide -- 10.2 QF on Bare-Metal Targets (the Vanilla Port) -- 10.3 Using QF with a preemptive Real-Time Kernel (æC/OS-II) -- 10.4 QF port to a POSIX-Compliant OS (Linux) -- 10.5 Summary -- Chapter 11 Conclusion -- 11.2 Rules for Developing Event-Driven Embedded Applications -- 11.3 Heuristics -- 11.4 Sizing Event Queues and Event Pools -- 11.5 System Integration -- 11.6 Summary of Key Elements -- 11.7 An Invitation -- Appendix A QK: A Single-Stack Preemptive Kernel -- A.2 Run-to-Completion Processing -- A.3 Synchronous and Asynchronous Preemptions -- A.4 Stack Utilization -- A.4 Comparison with a Traditional RTOS -- A.5 Summary -- Appendix B QS: Software Tracing for Event Driven Systems -- B.1 Software Tracing Concepts -- B.2 Structure of QS Trace Records -- B.3 QS Filters -- B.4 QS Data Protocol -- B.5 QS Trace Buffer -- B.6 Configuring and Porting QS -- B.7 Summary -- Appendix C Inheriting Entire State Models in C++ -- C.1 Statechart Refinement Example in C++ -- C.3 Caveats -- C.4 Summary -- Appendix D Guide to Notation -- D.1 Class Diagrams -- D.2 Statechart Diagrams -- D.3 Sequence Diagrams -- D.4 Timing Diagrams -- Appendix E CD-ROM -- E.1 Source Code Structure -- E.2 Installation -- E.3 Licensing -- E.4 Answers to the Exercises -- E.5 QP Reference Guide (Doxygen) -- E.6 Resources -- Bibliography -- Index....”
Connect to the full text of this electronic book

Table of Contents: “...Paper-based patient records -- Computer-based patient records -- Aims of a patient data management process -- Data, information, and knowledge -- Single tables and their limitations -- Multiple tables : where to put the data, relationships among tables, and creating a database -- Relational database management systems : normalization (Codd's rules) -- From data model to database software -- Integrity : anticipating and preventing data accuracy problems -- Queries, forms, and reports -- Programming for greater software control -- Turning ideas into a useful tool : eNICU, point of care database software for the NICU -- Making eNICU serve your own needs -- Single versus multiple users -- Backup and recovery : assuring your data persists -- Security : controlling access and protecting patient confidentiality -- Asking questions of a data set : crafting a conceptual framework and testable hypothesis -- Stata : a software tool to analyze data and produce graphical displays -- Preparing to analyze data -- Variable types -- Measurement values vary : describing their distribution and summarizing them quantitatively -- Data from all versus some : populations and samples -- Estimating population parameters : confidence intervals -- Comparing two sample means and testing a hypothesis -- Type I and type II error in a hypothesis test, power, and sample size -- Comparing proportions : introduction to rates and odds -- Stratifying the analysis of dichotomous outcomes : confounders and effect modifiers; the Mantel-Haenszel method -- Ways to measure and compare the frequency of outcomes, and standardization to compare rates -- Comparing the means of more than two samples -- Assuming little about the data : nonparametric methods of hypothesis testing -- Correlation : measuring the relationship between two continuous variables -- Predicting continuous outcomes : univariate and multivariate linear regression -- Predicting dichotomous outcomes : logistic regression, and receiver operating characteristic -- Predicting outcomes over time : survival analysis -- Choosing variables and hypotheses : practical considerations....”

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Connect to the full text of this electronic book

Get full text