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675Published 2019Table of Contents: “...Information Integration and Informatics -- Barriers of Automated BIM Use: Examining Factors of Project Delivery -- Simulation of construction processes as a link between BIM models and construction progression on-site -- In search of sustainable design patterns: Combining data mining and semantic analysis on disparate building data -- The role of Knowledge-based Information on BIM for Built Heritage -- Heritage Building Information Modelling (HBIM): A review of published case studies -- Next generation of transportation infrastructure management: Fusion of Intelligent Transportation Systems (ITS) and Bridge Information Modeling (BrIM) -- Blockchain in the construction sector: a socio-technical systems framework for the construction industry -- Formalized Knowledge Representation to Support Integrated Planning of Highway Projects -- An Automated Layer Classification Method for Converting CAD drawings to 3D BIM Models -- Defining Levels of Development for 4D Simulation of Major Capital Construction Projects -- Modularized BIM Data Validation Framework Integrating Visual Programming Language with LegalRuleML -- Coupling between a Building Spatial Design Optimisation Toolbox and BouwConnect BIM -- Reusability and Its Limitations of Modules of Existing BIM Data Exchange Requirements for New MVDs -- Employment of Semantic Web technologies for capturing comprehensive parametric building models -- BIM Coordination oriented to Facility Management -- OpenBIM Based IVE Ontology: an ontological approach to improve interoperability for Virtual Reality Applications -- BIM and Through-Life Information Management: A Systems Engineering Perspective -- A lean design management process based on planning the Level of Detail in BIM-based design -- Part 2. ...”
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676by Smith, Carlos A., 1943-Table of Contents: “...Process Control System -- Important Terms and Objective of Automatic Process Control -- Regulatory and Servo Control -- Transmission Signals, Control Systems, and Other Terms -- Control Strategies -- Feedback Control -- Feedforward Control -- Process Characteristics -- Process and Importance of Process Characteristics -- Types of Processes -- Self-Regulating Processes -- Single-Capacitance Processes -- Multicapacitance Processes -- Transmitters and Other Accessories -- Obtaining Process Characteristics from Process Data -- Questions When Performing Process Testing -- Feedback Controllers -- Action of Controllers -- Types of Feedback Controllers -- Proportional Controller -- Proportional-Integral Controller -- Proportional-Integral-Derivative Controller -- Proportional-Derivative Controller -- Reset Windup -- Tuning Feedback Controllers -- Online Tuning: Ziegler-Nichols Technique -- Offline Tuning -- Cascade Control -- Process Example -- Implementation and Tuning of Controllers -- Two-Level Cascade Systems -- Three-Level Cascade Systems -- Other Process Examples -- Ratio, Override, and Selective Control -- Signals and Computing Algorithms -- Signals -- Programming -- Scaling Computing Algorithms -- Significance of Signals -- Ratio Control -- Override, or Constraint, Control -- Selective Control -- Designing Control Systems -- Block Diagrams and Stability -- Block Diagrams -- Control Loop Stability -- Effect of Gains -- Effect of Time Constants -- Effect of Dead Time -- Effect of Integral Action in the Controller....”
Published 2002
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679Published 1994Table of Contents: “...Clausen -- Invariants in process algebra with data / M. Bezem and J.F. Groote -- Testing-based abstractions for value-passing systems / R. ...”
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680by Schulman, Joseph, 1950-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....”
Published 2006
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