With the emergence of smart technology and automated systems in today's world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.

With the rapid development of digital and networking technologies, trust has become an important factor that influences the success of digital life in control and management. Trust Modeling and Management in Digital Environments: From Social Concept to System Development examines how reliance is transferred from a social to a digital concept, enabling digital system users to build up confidence in their system. A defining body of sought after research, this innovative publication provides an understanding of the current challenges, solutions, and their limitations to those interested in this advancing field.

This book describes the development of an intrusion detection system for online poker, which uses player's game strategy as the behavioral profile. The system is improved by modifications to the similarity measure functions and different ways of representing behavioral signatures. The system is further enhanced by inclusion of spatial, temporal and contextual information about the environment alongside the user's behavior. Possibility of creation of artificial behavioral profiles and use of such profiles for spoofing of behavior-based security systems is investigated and promising results are achieved. In a somewhat related research, recognizing importance of games in our experiments, it is proven that poker is a game of skill. Finally, a number of games are analyzed in terms of their spatial ontologies.

Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems. Advancements in Applied Metaheuristic Computing is a crucial reference source for the latest empirical research on methods and approaches that include metaheuristics for further system improvements, and it offers outcomes of employing optimization algorithms. Featuring coverage on a broad range of topics such as manufacturing, genetic programming, and medical imaging, this publication is ideal for researchers, academicians, advanced-level students, and technology developers seeking current research on the use of optimization algorithms in several applications.

Agent technologies are believed to be one of the most promising tools to conduct business via networks and the Web in an autonomous, intelligent, and efficient way. The ever-expanding application of business automation necessitates clarification of the methods and techniques of agent-based electronic business systems.

Services both as a science and as a practice in today's corporate environments are suffering from many suboptimalities. A compromise of both organizational and technological aspects provides the answer to many pitfalls and shortcomings currently faced. ""Service Science for Socio-Economical and Information Systems Advancement: Holistic Methodologies"" sheds light on a variety of issues and shortcomings of service-based economies by analyzing situations and modern practices that improve the way researchers, field practitioners, and ICT professionals account for their core business service-related activities. This defining body of research provides a broad perspective of how to improve service creation, production, and management of assets.

The Internet of Things has become a major influence on the development of new technologies and innovations. When combined with smart services, the end-user experience can be significantly enhanced. Novel Design and the Applications of Smart-M3 Platforms in the Internet of Things: Emerging Research and Opportunities provides an innovative outlook on the development of open source technology for the creation of smart spaces and services. Including a range of relevant topics such as interoperability, system architecture, and information processing, this book is an ideal reference source for academics, researchers, graduate students, and practitioners interested in the latest advancements in the Internet of things.

Das Unternehmen des Informationszeitalters muss vom Kundenprozess ausgehen, die Starken verschiedener Online- und Offline-Absatzkanale kombinieren und Echzeit-Prozesse mit seinen Supply-Chain-Partnern organisieren. Um zum Netzwerk- oder Echtzeit-Unternehmen zu werden, ist ein Vorgehen in kleinen, wohluberlegten Schritten erfolgversprechender als "der grosse Wurf." Jeder Schritt benotigt eine Geschaftslosung, einen Kooperationsprozess zwischen Unternehmen und eine offene Infrastruktur. Dazu hat die Universitat St. Gallen gemeinsam mit neun namhaften Unternehmen eine Architektur erarbeitet, die eine Ausgestaltung der Schritte auf den Ebenen Strategie, Prozess und System unterstutzt. Anhand dieser Architektur werden verschiedene marktgangige Produkte und Technologien eingeordnet. Eine aus der Praxis abgeleitete Projektmethode fasst abschliessend die Erfahrungen zusammen und schlagt ein allgemeines Vorgehen vo

This book presents recently developed computational approaches for the study of reactive materials under extreme physical and thermodynamic conditions. It delves into cutting edge developments in simulation methods for reactive materials, including quantum calculations spanning nanometer length scales and picosecond timescales, to reactive force fields, coarse-grained approaches, and machine learning methods spanning microns and nanoseconds and beyond. These methods are discussed in the context of a broad range of fields, including prebiotic chemistry in impacting comets, studies of planetary interiors, high pressure synthesis of new compounds, and detonations of energetic materials. The book presents a pedagogical approach for these state-of-the-art approaches, compiled into a single source for the first time. Ultimately, the volume aims to make valuable research tools accessible to experimentalists and theoreticians alike for any number of scientific efforts, spanning many different types of compounds and reactive conditions.

Companies outsource today to reduce cost, increase flexibility, and focus on core competence. Outsourcing is not a fad, but strategic lever organizations utilize to meet their planned objectives. Outsourcing led transformations have become a mechanism for generating economies of scale, specialization, and standardization. Let's face it most outsourcing initiatives fail to deliver the expected value. The wisdom isn't a secret - the companies succeeding in this journey invested in building the right competencies, proper governance, and support structures to manage these initiatives. The Customer Centric Service Competency framework introduced in this book essentially brings forwards the service orientation and integrates outsourcing successfully with the usual business of an IT organization. The service framework encompasses thirty key competencies that can be implemented over the duration of outsourcing initiative. Implementation the services framework will also bring together skills in areas of program management, service management, vendor management, and relationship management. This book is sweeping and perhaps innovative -- for it introduces an integrated view of core services and process centric competencies to succeed with outsourcing. It also brings forward a matured competency based method to managing vendor relationships -- more art than science. The information contained in this book, when applied in context of your organization, will emerge several areas of efficiencies you may benefit by implementing. This book can be a compelling choice of reference for IT service providers, researchers, students, and IT management - CIO, Vice President, Directors, Program Managers, Project and Delivery Managers, Specialists, Architects, Developers, Testers, Infrastructure personnel etc.. It can be a: -Choice of reference for anyone interested in learning about IT outsourcing industry. -Guide IT and outsourcing professionals to simplify application of outsourcing in

The purpose of this book is to teach quantitative analysis to solve a variety of different business problems, using the Microsoft Excel software program. The book is primarily written for students and business executives. It covers both theoretical and applied material. The book contains 22 chapters and 2 appendices. Prior to using this book, users should have some familiarity with statistics, accounting, and marketing. They should also be comfortable with using computers, particularly spreadsheets, and have some knowledge of the Internet. The following is a summary of the topics covered in this book. *Computer Literacy and Advanced Spreadsheet Commands *Quantitative Analysis *Financial Statements *Loans and Amortization Tables *Income Tax Calculation *Advanced Logical Statements *Payroll Calculation *Product-Market Strategies Using Excel's Drawing Tools *Sales and Profit Forecasting in Domestic and International Arena *Frequency Distributions and Descriptive Summary Measures of Data *Resource Allocation and Linear Programming *Simple and Multiple Regression Analysis *Annual, Quarterly, and Monthly Time Series Analysis *Chi-Square Test of Independence *Breakeven Analysis *Business Plans *How to Create a Web Page

Not only have educators and trainers alike begun to harness the power of instructional technology and human performance techniques, but now businesses and industries have incorporated these technologies for training development and performance improvement. ""The Handbook of Research on Human Performance and Instructional Technology"" provides theoretical understanding of the essential link between education, training development, organization development, performance improvement, and instructional technology. An innovative publication useful to worldwide businesses, industry, schools, and higher academic institutions, this Handbook of Research is instrumental in providing the latest knowledge related to instructional technology and human performance in order to meet the needs and challenges of tomorrow.

This book has a focus on the development and deployment of the Industrial Internet of Things (IIoT) paradigm, discussing frameworks, methodologies, benefits and limitations, as well as providing case studies of employing the IoT vision in the industrial domain. IIoT is becoming an attractive business reality for many organisations such as manufacturing, logistics, oil and gas, energy and other utilities, mining, aviation, and many more. The opportunities for this paradigm are huge, and according to one report, the IIoT market is predicted to reach $125 billion by 2021. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately capturing, analysing and communicating real-time data. The underlying technologies include distributed computing, machine learning, artificial intelligence, and machine-to-machine communication, with a typical IIoT system consisting of intelligent systems (applications, controllers, sensors, and security mechanisms), data communication infrastructure (cloud computing, edge computing, etc.), data analytics (to support business intelligence and corporate decision making), and most importantly the human element. The promised benefits of the IIoT include enhanced safety, better reliability, smart metering, inventory management, equipment tracking, and facilities management. There are, however, numerous issues that are also becoming the focus of active research, such as concerns regarding service availability, data security, and device communication. Lack of ubiquitous interoperability between heterogeneous devices is also a major concern. This book intends to fill a gap in the IIoT literature by providing the scientific contributions and latest developments from researchers and practitioners of international repute, focusing on frameworks, methodologies, benefits, and inherent issues/barriers to connected environments, especially in industrial settings. The intended audience includes network specialists, hardware engineers, and security experts who wish to adopt newer approaches for device connectivity, IoT security, and sensor-based devices design. University level students, researchers and practitioners will also find the latest innovation in technology and newer approaches relevant to the IIoT from a distributed computing perspective.

This book discusses important topics for engineering and managing software startups, such as how technical and business aspects are related, which complications may arise and how they can be dealt with. It also addresses the use of scientific, engineering, and managerial approaches to successfully develop software products in startup companies. The book covers a wide range of software startup phenomena, and includes the knowledge, skills, and capabilities required for startup product development; team capacity and team roles; technical debt; minimal viable products; startup metrics; common pitfalls and patterns observed; as well as lessons learned from startups in Finland, Norway, Brazil, Russia and USA. All results are based on empirical findings, and the claims are backed by evidence and concrete observations, measurements and experiments from qualitative and quantitative research, as is common in empirical software engineering. The book helps entrepreneurs and practitioners to become aware of various phenomena, challenges, and practices that occur in real-world startups, and provides insights based on sound research methodologies presented in a simple and easy-to-read manner. It also allows students in business and engineering programs to learn about the important engineering concepts and technical building blocks of a software startup. It is also suitable for researchers at different levels in areas such as software and systems engineering, or information systems who are studying advanced topics related to software business.

Cases on Progressions and Challenges in ICT Utilization for Citizen-Centric Governance is a collection of case studies on the advancements and challenges of information technology in the involvements of citizens with the government. With contributions from authors around the world, this compilation is relevant to researchers, academics, and practitioners who wish to stay informed of the new world of technology in the government.

Yours can be the first APPLE house on the block! Learn how to save time and money by using your Apple II computer to control your home: the security, lights, temperature, telephone, and much more. With John Blankenship's system of software and hardware, your house can accept verbal commands and respond with its own voice. It does not need human instruction and performs many useful tasks on its own. Once you get used to an intelligent house, you will wonder how you ever got along without one. Even though devices featured in The Apple House can be purchased, the author shows how you can save money by building some from scratch. He also points out that you can substitute equipment you already own because of the system's modularity. Although written with an Apple II computer in mind, the principles discussed can easily be transferred to other computer systems.

This book analyses decision-making in dynamic economic environments. By applying a wide range of methodological approaches, combining both analytical and computational methods, the contributors examine various aspects of optimal firm behaviour and relevant policy areas. Topics covered include optimal control, dynamic games, economic decision-making, and applications in finance and economics, as well as policy implications in areas such as pollution regulation. This book is dedicated to Christophe Deissenberg, a well-known and distinguished scholar of economic dynamics and computational economics. It appeals to academics in the areas of optimal control, dynamic games and computational economics as well as to decision-makers working in policy domains such as environmental policy.