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.NET 2.0 Interoperability Recipes : A Problem-Solution Approach
.NET represents a new and improved way of developing software for the Windows platform. Given the chance, you'd probably rewrite all of your existing code in the newer managed code environment that .NET provides. But it is difficult or impossible to throw out all existing legacy code and start over when a new technology arrives. Instead, you need to find a way to move forward with new .NET development while reusing existing pieces of tested, working code. You need a way to interoperate with the existing code until you have a chance to finally rewrite all of it in .NET.
.NET 2.0 for Delphi Programmers
.NET 2.0 for Delphi Programmers explores .NET from a Delphi programmers viewpoint, and it is ideal for Delphi programmers moving to .NET. It presents the core concepts of the .NET world in terms you are familiar with. This book will help you with Delphi for .NET as well as C#. Apress publishes migration books for both Visual Basic 6 and C++ programmers moving to .NET. Consider this the Delphi installment of Apress migration books! There is ample coverage of C# as well as Delphi for .NET inside this edition.
Machine Learning Applications in Civil Engineering
Discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies.
Artificial intelligence in mechatronics and civil engineering : Bridging the gap
Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.
Airport Building Information Modelling
Details how Building Information Modelling is being successfully deployed in the planning, design, construction and future operation of the Istanbul New Airport, a mega-scale construction project incorporating a varying mix of infrastructures including terminals, runways, passenger gates, car parks, railways and roads. The book demonstrates how Airport Building Information Modelling (ABIM) is being used to: • facilitate collaboration, cooperation and integrated project delivery • manage subcontractors and eliminate cost over-runs • reduce waste on site and enhance overall quality • connect people in a virtual environment to encourage collaborative working • provide clients with an effective interface for lifecycle management including: design development, construction documentation, construction phases and BIM and Big Data Integration for future facilities management
Market segmentation analysis : Understanding it, doing it, and making It useful
Offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier. The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics.
Managing Dynamic Networks : Organizational Perspectives of Technology Enabled Inter-firm Collaboration
Collaboration of organizations reshapes traditional managerial practices and creates new inter-organizational contexts for strategy, coordination and control, information and knowledge management. Heralded as organizational forms of the future, networks are at the same time fragile and precarious organizational arrangements, which regularly fail. In order to investigate the new realities created by technology-enabled forms of network organizations and to address the emerging managerial challenges, this book introduces an integrative view on inter-firm network management. Centred on a network life cycle perspective, strategic, economic and relational facets of business networking are explored.
Managing Distributed Cloud Applications and Infrastructure : A Self-Optimising Approach
The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum.
Managing Development and Application of Digital Technologies : Research Insights in the Munich Center for Digital Technology & Management (CDTM)
Digital technology determines today’s world and will be one of the key technologies of the future. Successful technology development, introduction and management are not only a question of technical issues; due to their complexity a close cooperation between different scientific disciplines is required to discuss various consequences, chances and risks from manifold points of view as a starting point for the design of adequate solutions. The ability to integrate business and technology decisions will become a crucial core competence.
Knowledge management : Systems and processes in the AI era
Aimed at students and managers who seek detailed insights into contemporary knowledge management (KM). It explains the concepts, theories, and technologies that provide the foundation for knowledge management; the systems and structures that constitute KM solutions; and the processes for developing, deploying, and evaluating these KM solutions. It serves as a complete introduction to the subject of knowledge management, incorporating technical and social aspects, as well as concepts, practical examples, traditional KM approaches, and emerging topics. This third edition has been revised and expanded to include more coverage of emergent trends such as cloud computing, online communities, crowdsourcing and artificial intelligence.
Knowledge Management : Organizational and Technological Dimensions
Presents a unique blend of articles which combines both conceptual and practical concerns related to devising and implementing sustainable Knowledge Management systems and solutions in contemporary global organizations. The book's contributors are among the leading thinkers and practitioners in this growing field. The seamless synthesis of the human, organizational, and technological dimensions of Knowledge Management makes this book a definitive guide for academics and practising managers alike.
Computational Aspects of General Equilibrium Theory : Refutable Theories of Value
This monograph presents a general equilibrium methodology for microeconomic policy analysis. It is intended to serve as an alternative to the now classical, axiomatic general equilibrium theory as exposited in Debreu`s Theory of Value (1959) or Arrow and Hahn`s General Competitive Analysis (1971). The methodology proposed in this monograph does not presume the existence of market equilibrium, accepts the inherent indeterminancy of nonparametric general equlibrium models, and offers effective algorithms for computing counterfactual equilibria in these models. It consists of several essays written over the last decade, some with colleagues or former graduate students, and an appendix by Charles Steinhorn on the elements of O-minimal structures, the mathematical framework for our analysis.
Building a Future with BRICs : The Next Decade for Offshoring
In 2003, Goldman Sachs published a startling report on the BRICs (Brazil, Russia, India, and China) region: These four countries would be larger than the G6 economics within 40 years, muscling their way to economic dominance over the coming decades, and powering past developed countries such as the United Kingdom, Germany, and Japan. This book focuses on the technology and technology-enabled services that underpin this social and economic revolution. The editor analyses the reasons why these four countries are in a unique position to lead a 21st century growth in international services. He then features 12 chapters written by the most important chief executives from the BRICs service economy. Indian technology leaders, such as Nandan Nilekani (Infosys), Shiv Nadar (HCL), and Rajendra Pawar (NIIT), feature alongside their peers from Brazil, Russia, and China outlining their views on the next decade for offshoring.
Bio-inspired credit risk analysis : Computational intelligence with support vector machines
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
Applied Econometrics with R
This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of microeconometrics such as logit, probit and tobit models, to recent semiparametric extensions. In addition, it provides a chapter on programming, including simulations, optimization, and an introduction to R tools enabling reproducible econometric research.
Advanced Data Mining Techniques
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated.
Adobe Photoshop CC Classroom in a Book
The 15 project-based lessons show key step-by-step techniques for working in Photoshop, including how to correct, enhance, and distort digital images, create image composites, and prepare images for print and the web. In addition to learning the essential elements of the Photoshop interface, this revised edition for the 2018 release covers features like search capabilities, Content-Aware Crop, Select and Mask, Face-Aware Liquify, designing with multiple artboards, creating and organising enhanced brush presets, and much more!
Architecture and design for industry 4.0 : Theory and practice
The book is structured into three sections (research, practice, and technologies), with the goal of creating a new framework useful for widespread awareness necessary to initiate technology transfer processes for the benefit of the public sector, universities, research centers, and innovative companies, and a new professional figure capable of controlling the entire process is essential. Thus, the book chapters arouse a series of relevant topics such as computational and parametric design, performance-based architecture, data-driven design strategies, parametric environmental design and analysis, computational and parametric structural design and analysis
Maple and Mathematica : A Problem Solving Approach for Mathematics
the history of mathematics there are many situations in which cal- lations were performed incorrectly for important practical applications. the history of computing the number began in Egypt and Babylon about 2000 years BC, since then many mathematicians have calculated (e. g. , Archimedes, Ptolemy, Vi` ete, etc. ). In modern mathematics there exist computers that can perform various mathematical operations for which humans are incapable. Therefore the computers can be used to verify the results obtained by humans, to discovery new results, to - prove the result sthatahumancanobtain without anytechnology
Managing Complexity : Insights, Concepts, Applications
Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinary contributions range from markets and production through logistics, traffic control, and critical infrastructures, up to network design, information systems, social conflicts and building consensus. They serve to raise readers' awareness concerning the often counter-intuitive behavior of complex systems and to help them integrate insights gained in complexity research into everyday planning, decision making, strategic optimization, and policy.
