Metaautomation
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Author | : Elmer P. Dadios |
Publisher | : BoD – Books on Demand |
Total Pages | : 142 |
Release | : 2022-05-25 |
Genre | : Technology & Engineering |
ISBN | : 1839691735 |
Advances in automation and control today cover many areas of technology where human input is minimized. This book discusses numerous types and applications of automation and control. Chapters address topics such as building information modeling (BIM)–based automated code compliance checking (ACCC), control algorithms useful for military operations and video games, rescue competitions using unmanned aerial-ground robots, and stochastic control systems.
Author | : Matt Griscom |
Publisher | : Metaautomation |
Total Pages | : 280 |
Release | : 2018-09-04 |
Genre | : |
ISBN | : 9780986270420 |
MetaAutomation describes much more effective approaches to achieving business value with software quality automation.
Author | : Manju Khari |
Publisher | : Springer Nature |
Total Pages | : 189 |
Release | : 2022-09-26 |
Genre | : Technology & Engineering |
ISBN | : 3031072979 |
This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. ·
Author | : Pengfei Gu |
Publisher | : Springer Nature |
Total Pages | : 613 |
Release | : |
Genre | : |
ISBN | : 9819770513 |
Author | : Vincent G. Duffy |
Publisher | : Springer Nature |
Total Pages | : 512 |
Release | : 2022-10-31 |
Genre | : Technology & Engineering |
ISBN | : 3031107845 |
This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines. This initiative is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This set of articles for the GSIS emphasizes a main thematic area: transportation. Main areas of coverage include Section A: Interaction with Vehicle Automation; Section B: HCI in Automated Vehicles; Section C: Trust in Vehicle Automation; Section D: Physical Modeling of Vehicle Cabs; Section E: Task Simulation Automation via Digital Human Models; Section F: Maintenance and Manufacturing; Section G: Smart Cities and Connected Vehicles. Contributions from especially early career researchers were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction within LNCS of Springer and Applied Human Factors and Ergonomics International (AHFE). The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet it is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. This initiative is intended to provide practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries.
Author | : Simon Munzert |
Publisher | : John Wiley & Sons |
Total Pages | : 480 |
Release | : 2014-10-24 |
Genre | : Computers |
ISBN | : 111883478X |
A hands on guide to web scraping and text mining for bothbeginners and experienced users of R Introduces fundamental concepts of the main architecture of theweb and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets(XPath and regular expressions). An extensive set of exercises are presented to guide thereader through each technique. Explores both supervised and unsupervised techniques as well asadvanced techniques such as data scraping and text management. Case studies are featured throughout along with examples foreach technique presented. R code and solutions to exercises featured in thebook are provided on a supporting website.
Author | : Wolfgang A. Gaul |
Publisher | : Springer Science & Business Media |
Total Pages | : 516 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 3642559913 |
Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.
Author | : Hassan Rashidi |
Publisher | : CRC Press |
Total Pages | : 305 |
Release | : 2022-08-10 |
Genre | : Business & Economics |
ISBN | : 1000629309 |
Container terminals are constantly being challenged to adjust their throughput capacity to match fluctuating demand. Examining the optimization problems encountered in today’s container terminals, Port Automation and Vehicle Scheduling: Advanced Algorithms for Scheduling Problems of AGVs, Third Edition provides advanced algorithms for handling the scheduling of Automated Guided Vehicles (AGVs) in ports. Building on the earlier editions, previously titled Vehicle Scheduling in Port Automation: Advanced Algorithms for Minimum Cost Flow Problems, this book has undergone extensive revisions and includes two new chapters. New material addresses the solutions to the modeling of decisions in Chapter 3, while in Chapter 11 the authors address an emerging challenge in automated container terminals with integrated management. Key Features: Classifies the optimization problems of the ports into five scheduling decisions. For each decision, it supplies an overview, formulates each of the decisions as constraint satisfaction and optimization problems, and then covers possible solutions, implementation, and performance. Explores in Part One of the book the various optimization problems in modern container terminals, while details in Part Two advanced algorithms for the minimum cost flow (MCF) problem and for the scheduling problem of AGVs in ports. Offers complete package that can help readers address the scheduling problems of AGVs in ports. This is a valuable reference for port authorities and researchers, including specialists and graduate students in operation research. For specialists, it provides novel and efficient algorithms for network flow problems. For students, it supplies the most comprehensive survey of the field along with a rigorous formulation of the problems in port automation.
Author | : Alan N. Fish |
Publisher | : John Wiley & Sons |
Total Pages | : 208 |
Release | : 2012-02-08 |
Genre | : Business & Economics |
ISBN | : 1118236793 |
A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
Author | : Alla Kravets |
Publisher | : Springer |
Total Pages | : 763 |
Release | : 2014-08-26 |
Genre | : Computers |
ISBN | : 3319118544 |
This book constitutes the refereed proceedings of the 11th Joint Conference on Knowledge-Based Software-Engineering, JCKBSE 2014, held in Volgograd, Russia, in September 2014. The 59 full and 3 short papers presented were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on methodology and tools for knowledge discovery and data mining; methods and tools for software engineering education; knowledge technologies for semantic web and ontology engineering; knowledge-based methods and tools for testing, verification and validation, maintenance and evolution; natural language processing, image analysis and recognition; knowledge-based methods and applications in information security, robotics and navigation; decision support methods for software engineering; architecture of knowledge-based systems, including intelligent agents and softbots; automating software design and synthesis; knowledge management for business processes, workflows and enterprise modeling; knowledge-based methods and applications in bioscience, medicine and justice; knowledge-based requirements engineering, domain analysis and modeling; intelligent user interfaces and human-machine interaction; lean software engineering; program understanding, programming knowledge, modeling programs and programmers.