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Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach
by Camilo Ordonez Mario Harper Jonathan T. Boylan Emmanuel G. Collins, Jr.This book shows how to plan trajectories (i.e. time-dependent paths) for autonomous robots using a dynamic model within the A* framework.Drawing from optimal control's model predictive control framework, the book develops a paradigm called Sampling Based Model Predictive Optimization (SBMPO), which generates graph trees through input sampling of a dynamic model, enabling A*-type algorithms to find optimal trajectories. The book covers various robotic platforms and tasks, including manipulators lifting heavy loads, mobile robots navigating steep hills, energy-efficient skid-steered movements, thermally informed space exploration planning, and climbing robots in obstacle-rich environments. It also explores methods for updating dynamic models for robust operation and provides sample code for applying SBMPO to additional problems.This resource is aimed at researchers, engineers, and advanced students in motion planning and control for robotic and autonomous systems.
Trandisciplinary Multispectral Modelling and Cooperation for the Preservation of Cultural Heritage: Second International Conference, TMM_CH 2021, Athens, Greece, December 13–15, 2021, Revised Selected Papers (Communications in Computer and Information Science #1574)
by Marinos Ioannides Antonia Moropoulou Anastasios Doulamis Andreas Georgopoulos Alfredo RonchiThis volume constitutes selected and revised papers presented during the Second International Conference on Trandisciplinary Multispectral Modelling and Cooperation for the Preservation of Cultural Heritage, TMM_CH 2021, held in Athens, Greece, in December 2021. The 17 full papers and 6 short papers presented in ths volume were thoroughly reviewed and selected from 310 submissions. The papers are organized in topical sections on scientific innovations in the diagnosis and preservation of cultural heritage; digital heritage a holistic approach; preservation, reuse and reveal of cultural heritage through sustainable land management, rural and urban development to recapture the world in crisis through culture.
Trans-National English in Social Media Communities
by Jennifer Dailey-O’CainThis book explores the use of English within otherwise local-language conversations by two continental European social media communities. The analysis of these communities serves not only as a comparison of online language practices, but also as a close look at how globalization phenomena and ‘international English’ play out in the practices of everyday life in different non-English-speaking countries. The author concludes that the root of the distinctive practices in the two communities studied is the disparity between their language ideologies. She argues that community participants draw on their respective national language ideologies, which have developed over centuries, but also reach beyond any static forms of those ideologies to negotiate, contest, and re-evaluate them. This book will be of interest to linguists and other social scientists interested in social media, youth language and the real-world linguistic consequences of globalization.
Transact-SQL Cookbook: Help for Database Programmers
by Jonathan Gennick Ales SpeticThis unique cookbook contains a wealth of solutions to problems that SQL programmers face all the time. The recipes inside range from how to perform simple tasks, like importing external data, to ways of handling issues that are more complicated, like set algebra. Authors Ales Spetic and Jonathan Gennick, two authorities with extensive database and SQL programming experience, include a discussion with each recipe to explain the logic and concepts underlying the solution.SQL (Structured Query Language) is the closest thing to a standard query language that currently exists, and Transact-SQL -- a full-featured programming language that dramatically extends the power of SQL -- is the procedural language of choice for both Microsoft SQL Server and Sybase SQL Server systems. The Transact-SQL Cookbook is designed so you can use the recipes directly, as a source of ideas, or as a way to learn a little more about SQL and what you can do with it. Topics covered include:Audit logging. In addition to recipes for implementing an audit log, this chapter also includes recipes for: improving performance where large log tables are involved; supporting multiple-languages; and simulating server push.Hierarchies. Recipes show you how to manipulate hierarchical data using Transact-SQL.Importing data. This chapter introduces concepts like normalization and recipes useful for working with imported data tables.Sets. Recipes demonstrate different operations, such as how to find common elements, summarize the data in a set, and find the element in a set that represents an extreme.Statistics. This chapter?s recipes show you how to effectively use SQL for common statistical operations from means and standard deviations to weighted moving averages.Temporal data. Recipes demonstrate how to construct queries against time-based data.Data Structures. This chapter shows how to manipulate data structures like stacks, queues, matrices, and arrays.With an abundance of recipes to help you get your job done more efficiently, the Transact-SQL Cookbook is sure to become an essential part of your library.
Transaction-Level Power Modeling
by Amr Baher Darwish Magdy Ali El-Moursy Mohamed Amin DessoukyThis book describes for readers a methodology for dynamic power estimation, using Transaction Level Modeling (TLM). The methodology exploits the existing tools for RTL simulation, design synthesis and SystemC prototyping to provide fast and accurate power estimation using Transaction Level Power Modeling (TLPM). Readers will benefit from this innovative way of evaluating power on a high level of abstraction, at an early stage of the product life cycle, decreasing the number of the expensive design iterations.
Transactional Distance and Adaptive Learning: Planning for the Future of Higher Education
by Farhad Saba Rick L. ShearerTransactional Distance and Adaptive Learning takes a fresh look at one of the pioneering educational theories that accommodates the impact of information and communications technologies in learning. The theory of transactional distance (TTD) provides a distinct analytical and planning foundation for educators to conduct an overarching inquiry into transitioning from mass instructional and management systems in higher education to dynamic and transformational futures that focus on each individual learner. Based on the TTD, this pragmatic approach offers instructors, administrators, students, and other stakeholders a comprehensive planning method to assess the current state of their instructional, learning, and management practices and to develop alternative models to prescribe future improvements in their institution. This complex, self-organized, and adaptive method includes current and emergent properties of: hardware, software, and telecommunications systems that allow faculty, students, and administrators to communicate; instructional and curriculum systems that provide teaching and learning environments for faculty and students; and management, societal, and global systems that influence how institutions are supported, funded, and managed.
Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python
by Sebastian MauriceUnderstand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights). This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka. Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams. You will learn the framework that will help you in choosing business problems that are best suited for TML. You will also see how to measure the business value of TML solutions. You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution. This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions. Specifically, you are given access to a TML Python library and integration technologies for download. You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams. By the end of the book, you will have a solid understanding of TML. You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips. What You Will Learn Discover transactional machine learning Measure the business value of TML Choose TML use cases Design technical architecture of TML solutions with Apache Kafka Work with the technologies used to build TML solutions Build transactional machine learning solutions with hands-on code together with Apache Kafka in the cloud Who This Book Is For Data scientists, machine learning engineers and architects, and AI and machine learning business leaders.
Transactions on Aspect-Oriented Software Development XII
by Robert Hirschfeld Shigeru Chiba Éric Tanter Erik ErnstThe LNCS journal Transactions on Aspect-Oriented Software Development is devoted to all facets of aspect-oriented software development (AOSD) techniques in the context of all phases of the software life cycle, from requirements and design to implementation, maintenance and evolution. The focus of the journal is on approaches for systematic identification, modularization, representation, and composition of crosscutting concerns, i. e. , the aspects and evaluation of such approaches and their impact on improving quality attributes of software systems. This volume, the 12th in the Transactions on Aspect-Oriented Software Development series, contains one regular paper, on modular reasoning in aspect-oriented languages from a substitution perspective, and four extended, improved papers selected from those presented at Modularity 2014. Topics covered include novel dynamic semantics through delegation proxies, modularity potential detection based on co-change clusters, improvements in reusability for components of semantic specifications of programming languages, and probabilistic model checking applied to dynamically generated members of a product line.
Transactions on Computational Collective Intelligence XIV
by Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 14th issue contains 9 carefully selected and thoroughly revised contributions.
Transactions on Computational Collective Intelligence XIV (Lecture Notes in Computer Science #8615)
by Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 14th issue contains 9 carefully selected and thoroughly revised contributions.
Transactions on Computational Collective Intelligence XIX
by Ngoc Thanh Nguyen Ryszard Kowalczyk Fatos XhafaThesetransactions publish research in computer-based methods of computationalcollective intelligence (CCI) and their applications in a wide range of fieldssuch as the semantic Web, social networks, and multi-agent systems. TCCIstrives to cover new methodological, theoretical and practical aspects of CCIunderstood as the form of intelligence that emerges from the collaboration and competitionof many individuals (artificial and/or natural). The application of multiplecomputational intelligence technologies, such as fuzzy systems, evolutionarycomputation, neural systems, consensus theory, etc. , aims to support human andother collective intelligence and to create new forms of CCI in natural and/orartificial systems. This nineteenth issue contains 11 carefully selected andrevised contributions.
Transactions on Computational Collective Intelligence XV
by Ngoc Thanh Nguyen Ryszard Kowalczyk Juan Manuel Corchado Javier BajoThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 15th issue contains extended and revised versions of the best papers presented at the International Conference on Practical Applications on Agents and Multi-Agent Systems (PAAMS 2012 and PAAMS 2013) held in Salamanca, Spain.
Transactions on Computational Collective Intelligence XV (Lecture Notes in Computer Science #8670)
by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Juan Manuel Corchado and Javier BajoThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 15th issue contains extended and revised versions of the best papers presented at the International Conference on Practical Applications on Agents and Multi-Agent Systems (PAAMS 2012 and PAAMS 2013) held in Salamanca, Spain.
Transactions on Computational Collective Intelligence XVI
by Ngoc Thanh Nguyen Ryszard KowalczykThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 16th issue contains 8 regular papers selected via peer-review process.
Transactions on Computational Collective Intelligence XVI (Lecture Notes in Computer Science #8780)
by Ryszard Kowalczyk and Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 16th issue contains 8 regular papers selected via peer-review process.
Transactions on Computational Collective Intelligence XVII
by Ngoc Thanh Nguyen Ryszard Kowalczyk Ana Fred Filipe JoaquimThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems.
Transactions on Computational Collective Intelligence XVIII
by Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eighteenth issue contains 9 carefully selected and revised contributions.
Transactions on Computational Collective Intelligence XX
by Ngoc Thanh Nguyen Ryszard Kowalczyk Joaquim Filipe Jaap van den Herik Béatrice Duval Stephane LoiseauThese transactions publishresearch in computer-based methods of computational collective intelligence(CCI) and their applications in a wide range of fields such as the semanticWeb, social networks, and multi-agent systems. TCCI strives to cover newmethodological, theoretical and practical aspects of CCI understood as the formof intelligence that emerges from the collaboration and competition of manyindividuals (artificial and/or natural). The application of multiplecomputational intelligence technologies, such as fuzzy systems, evolutionarycomputation, neural systems, consensus theory, etc. , aims to support human andother collective intelligence and to create new forms of CCI in natural and/orartificial systems. This twentieth issue contains 11 carefully selected andrevised contributions.
Transactions on Computational Collective Intelligence XXI
by Ngoc Thanh Nguyen Ryszard Kowalczyk Paulo Rupino da CunhaThesetransactions publish research in computer-based methods of computationalcollective intelligence (CCI) and their applications in a wide range of fieldssuch as the semantic Web, social networks, and multi-agent systems. TCCIstrives to cover new methodological, theoretical and practical aspects of CCIunderstood as the form of intelligence that emerges from the collaboration andcompetition of many individuals (artificial and/or natural). The application ofmultiple computational intelligence technologies, such as fuzzy systems,evolutionary computation, neural systems, consensus theory, etc. , aims tosupport human and other collective intelligence and to create new forms of CCIin natural and/or artificial systems. This twenty-first issue contains 7 carefullyselected and revised contributions.
Transactions on Computational Collective Intelligence XXIII
by Ngoc Thanh Nguyen Ryszard Kowalczyk Jacek MercikThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-third issue contains 14 carefully selected and revised contributions.
Transactions on Computational Collective Intelligence XXIV
by Ngoc Thanh Nguyen Ryszard Kowalczyk Joaquim FilipeThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-forth issue contains 9 carefully selected and revised contributions. p>
Transactions on Computational Collective Intelligence XXIX (Lecture Notes In Computer Science #10840)
by Ngoc Thanh Nguyen Ryszard KowalczykThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-ninth issue is a regular issue with 10 selected papers.
Transactions on Computational Collective Intelligence XXV
by Ngoc Thanh Nguyen Ryszard Kowalczyk Cezary Orlowski Artur ZiółkowskiThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-fifth issue contains 8 carefully selected and revised contributions.
Transactions on Computational Collective Intelligence XXVI
by Ngoc Thanh Nguyen Ryszard Kowalczyk Jorge Cardoso Alexandre Miguel PintoThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-sixth issue is a special issue with selected papers from the First International KEYSTONE Conference 2015 (IKC 2015), part of the keystone COST Action IC1302.
Transactions on Computational Collective Intelligence XXVIII
by Ngoc Thanh Nguyen Ryszard Kowalczyk Joaquim Filipe Jaap van den Herik Ana Paula RochaThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-eight issue is a special issue with 11 selected papers from the International Conference on Agents and Artificial Intelligence, ICAART 2016 and 2017 editions.