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Tourism, Culture and Heritage in a Smart Economy: Third International Conference IACuDiT, Athens 2016 (Springer Proceedings in Business and Economics)
by Vicky Katsoni Amitabh Upadhya Anastasia StratigeaThis book explores the ways in which information and communication technologies (ICTs) offer a powerful tool for the development of smart tourism. Numerous examples are presented from across the entire spectrum of cultural and heritage tourism, including art, innovations in museum interpretation and collections management, cross-cultural visions, gastronomy, film tourism, dark tourism, sports tourism, and wine tourism. Emphasis is placed on the importance of the smart destinations concept and a knowledge economy driven by innovation, creativity, and entrepreneurship. New modes of tourism management are described, and tourism products, services, and strategies for the stimulation of economic innovation and promotion of knowledge transfer are outlined. The potential of diverse emerging ICTs in this context is clearly explained, covering location-based services, internet of things, smart cities, mobile services, gamification, digital collections and the virtual visitor, social media, social networking, and augmented reality. The book is edited in collaboration with the International Association of Cultural and Digital Tourism (IACuDiT) and includes the proceedings of the Third International Conference on Cultural and Digital Tourism.
Toward Brain-Computer Interaction in Paralysis: A New Approach Based on Visual Evoked Potentials and Depth-of-Field (Human–Computer Interaction Series)
by Anibal CotrinaThis book presents up-to-date information on Brain-computer Interfaces (BCI).BCIs are systems that record brain signals, extract features and translate them into computer commands. For instance, in BCIs based on the steady-state visual evoked potentials (SSVEP-BCI), brain potentials evoked by visual stimuli are used for controlling computer-based devices. Inspired by the optical phenomenon of depth of field, this book introduces, describes, and evaluates a novel way of setting visual stimuli for SSVEP-BCI. It employs two stimuli that were placed at different distances from the subjects so that if one stimulus is focused on, the other one is non-focused. This assessment allows SSVEP-BCI users to modulate their brain signals by shifting their focus because focused and non-focused stimuli evoke different brain potentials. It allows people to send two brain commands with high accuracy rate by shifting their focus. Hence, computer interaction systems can be proposed for people with paralysis, such as patients with amyotrophic lateral sclerosis since focusing mechanism does not demand head, neck, or eyeball movements. The matter assessed in this book that includes offline and online experiments, is useful for researchers in human-machine interaction who are looking for relevant possibilities of improving the quality of life of people in paralysis situation.
Towards a Code of Ethics for Artificial Intelligence (Artificial Intelligence: Foundations, Theory, and Algorithms)
by Paula BoddingtonThe author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics.The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.
Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems
The European research project DESERVE (DEvelopment platform for Safe and Efficient dRiVE, 2012-2015) had the aim of designing and developing a platform tool to cope with the continuously increasing complexity and the simultaneous need to reduce cost for future embedded Advanced Driver Assistance Systems (ADAS). For this purpose, the DESERVE platform profits from cross-domain software reuse, standardization of automotive software component interfaces, and easy but safety-compliant integration of heterogeneous modules. This enables the development of a new generation of ADAS applications, which challengingly combine different functions, sensors, actuators, hardware platforms, and Human Machine Interfaces (HMI). This book presents the different results of the DESERVE project concerning the ADAS development platform, test case functions, and validation and evaluation of different approaches. The reader is invited to substantiate the content of this book with the deliverables published during the DESERVE project. Technical topics discussed in this book include:Modern ADAS development platforms;Design space exploration;Driving modelling;Video-based and Radar-based ADAS functions;HMI for ADAS;Vehicle-hardware-in-the-loop validation systems
Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems
by Guillermo Payá-Vayá Holger BlumeThe European research project DESERVE (DEvelopment platform for Safe and Efficient dRiVE, 2012-2015) had the aim of designing and developing a platform tool to cope with the continuously increasing complexity and the simultaneous need to reduce cost for future embedded Advanced Driver Assistance Systems (ADAS). For this purpose, the DESERVE platform profits from cross-domain software reuse, standardization of automotive software component interfaces, and easy but safety-compliant integration of heterogeneous modules. This enables the development of a new generation of ADAS applications, which challengingly combine different functions, sensors, actuators, hardware platforms, and Human Machine Interfaces (HMI). This book presents the different results of the DESERVE project concerning the ADAS development platform, test case functions, and validation and evaluation of different approaches. The reader is invited to substantiate the content of this book with the deliverables published during the DESERVE project. Technical topics discussed in this book include:Modern ADAS development platforms;Design space exploration;Driving modelling;Video-based and Radar-based ADAS functions;HMI for ADAS;Vehicle-hardware-in-the-loop validation systems
Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017, Proceedings (Lecture Notes in Computer Science #10454)
by Yang Gao Saber Fallah Yaochu Jin Constantina LekakouThis book constitutes the refereed proceedings of the 18th Annual Conference on Towards Autonomous Robotics, TAROS 2017, held in Guildford, UK, in July 2017.The 43 revised full papers presented together with 13 short papers were carefully reviewed and selected from 66 submissions. The papers discuss robotics research drawn from a wide and diverse range of topics, such as swarm and multi-robotic systems; human-robot interaction; robotic learning and imitation; robot navigation, planning and safety; humanoid and bio-inspired robots; mobile robots and vehicles; robot testing and design; detection and recognition; learning and adaptive behaviours; interaction; soft and reconfigurable robots; and service and industrial robots.
Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers (Lecture Notes in Computer Science #10344)
by Andreas Holzinger Randy Goebel Massimo Ferri Vasile PaladeThe BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.
Tradigital Animate CC: 12 Principles of Animation in Adobe Animate
by Stephen BrooksLearn how to bridge the gap between the traditional animation principles and digital software. Tradigital Flash: 12 Principles of Animation in Adobe Flash brings the essentials of traditional animation and Adobe Flash together. The early masters of animationcreated a list of 12 principles which are important for anyone who wants to create interesting and believable animation. Digital animation continues to make incredible technological advancements that give animators the capability to produce visually stunning work. New technology, however, also has a tendency to create an environment where animators are so focused on adapting to the new workflow that they tend to dismiss these fundamental animation principles… which often leads to poor and lifeless character animation. Tradigital Flash helps you focus on these principles while using the program’s wide array of features to create believable animation, consistently. Tradigital Flash joins three other Tradigital books covering Maya, Blender, and 3ds Max. This new volume in the series approaches the topic in a different way, giving readers both a practical look at the software, and providing a theoretical understanding of the genre. Learn a new principle in each chapter, the Flash tools most related to it and how to put it all together. A plethora of examples demonstrate the good methods which animators should use in Flash, how to avoid the bad ones and ways to create a workflow that works for you. An easy-to-follow approach with examples throughout the book that build on each other, showing how the principles act together. A companion website www.rubberonion.com/tradigital-animate features more examples, downloadable FLA resource files, video tutorials. Key Features Every chapter teaches you a principle, shows you the corresponding tool or tools, and shows you how to all put it together. A wide array of examples demonstrate the good, bad, and sometimes ugly procedures an animator can practice with Flash. A follow-along approach, where examples throughout the book build on each other, showing how the principles act together. A companion website features more examples, downloadable swf resource files, video tutorials.
Traffic Measurement for Big Network Data (Wireless Networks)
by Shigang Chen Min Chen Qingjun XiaoThis book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and provides an overview of the potential solutions to major problems.The authors introduce the problem of per-flow size measurement for big network data and present a fast and scalable counter architecture, called Counter Tree, which leverages a two-dimensional counter sharing scheme to achieve far better memory efficiency and significantly extend estimation range. Unlike traditional approaches to cardinality estimation problems that allocate a separated data structure (called estimator) for each flow, this book takes a different design path by viewing all the flows together as a whole: each flow is allocated with a virtual estimator, and these virtual estimators share a common memory space. A framework of virtual estimators is designed to apply the idea of sharing to an array of cardinality estimation solutions, achieving far better memory efficiency than the best existing work. To conclude, the authors discuss persistent spread estimation in high-speed networks. They offer a compact data structure called multi-virtual bitmap, which can estimate the cardinality of the intersection of an arbitrary number of sets. Using multi-virtual bitmaps, an implementation that can deliver high estimation accuracy under a very tight memory space is presented. The results of these experiments will surprise both professionals in the field and advanced-level students interested in the topic. By providing both an overview and the results of specific experiments, this book is useful for those new to online traffic measurement and experts on the topic.
Traffic Networks as Information Systems: A Viability Approach (Mathematical Engineering)
by Jean-Pierre Aubin Anya DésillesThis authored monograph covers a viability to approach to traffic management by advising to vehicles circulated on the network the velocity they should follow for satisfying global traffic conditions;. It presents an investigation of three structural innovations: The objective is to broadcast at each instant and at each position the advised celerity to vehicles, which could be read by auxiliary speedometers or used by cruise control devices. Namely, 1. Construct regulation feedback providing at each time and position advised velocities (celerities) for minimizing congestion or other requirements.2. Taking into account traffic constraints of different type, the first one being to remain on the roads, to stop at junctions, etc. 3. Use information provided by the probe vehicles equipped with GPS to the traffic regulator;4. Use other global traffic measures of vehicles provided by different types of sensors; These results are based on convex analysis, intertemporal optimization and viability theory as mathematical tools as well as viability algorithms on the computing side, instead of conventional techniques such as partial differential equations and their resolution by finite difference or finite elements algorithms. The target audience primarily covers researchers and mathematically oriented engineers but the book may also be beneficial for graduate students.
Training Law Enforcement Officers
by Rick D. GiovengoThis how-to guide covers every aspect of law enforcement training, from training academy administration, to designing curricula, to identifying and utilizing qualified instructors. Using the latest methodologies, technologies, and best practices, Training Law Enforcement Officers gives law enforcement administrators, training specialists, instructors, instructional systems designers, and academy directors a proven way to conduct training for all levels of practitioners, from basic law enforcement to high-risk law enforcement. At a time when scrutiny of law enforcement officers is on the rise, Training Law Enforcement Officers is an essential guide for those criminal justice practitioners seeking to minimize police error and make today’s police force the best that it can be.
Training Law Enforcement Officers
by Rick D. GiovengoThis how-to guide covers every aspect of law enforcement training, from training academy administration, to designing curricula, to identifying and utilizing qualified instructors. Using the latest methodologies, technologies, and best practices, Training Law Enforcement Officers gives law enforcement administrators, training specialists, instructors, instructional systems designers, and academy directors a proven way to conduct training for all levels of practitioners, from basic law enforcement to high-risk law enforcement. At a time when scrutiny of law enforcement officers is on the rise, Training Law Enforcement Officers is an essential guide for those criminal justice practitioners seeking to minimize police error and make today’s police force the best that it can be.
Trans-National English in Social Media Communities (Language and Globalization)
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.
Transactions on Computational Collective Intelligence XXVI (Lecture Notes in Computer Science #10190)
by Ngoc Thanh Nguyen Ryszard Kowalczyk Alexandre Miguel Pinto Jorge CardosoThese 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 XXVII (Lecture Notes in Computer Science #10480)
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-seventh issue is a special issue with 13 selected papers from the Second Seminar on Quantitative Methods of Group Decision Making.
Transactions on Computational Science XXIX (Lecture Notes in Computer Science #10220)
by Marina L. Gavrilova C.J. Kenneth TanThis, the 29th issue of the Transactions on Computational Science journal, is comprised of seven full papers focusing on the area of secure communication. Topics covered include weak radio signals, efficient circuits, multiple antenna sensing techniques, modes of inter-computer communication and fault types, geometric meshes, and big data processing in distributed environments.
Transactions on Computational Science XXX: Special Issue on Cyberworlds and Cybersecurity (Lecture Notes in Computer Science #10560)
by Marina L. Gavrilova C.J. Kenneth Tan Alexei SourinThis, the 30th issue of the Transactions on Computational Science journal, is comprised of extended versions of selected papers from the International Conference on Cyberworlds, held in Chongqing, China, in September 2016. The first paper is a position paper giving an outline of current research at the intersection of cybersecurity and cyberworlds, and specifically focusing on mining behavioral data from online social networks. The remaining 5 papers focus on a range of topics, including privacy assurance in online location services, human gait recognition using KINECT sensors, hand-gesture recognition for computer games, scene matching between the source image and the target image for virtual reality applications, and human identification using brain waves.
Transactions on Edutainment XIII (Lecture Notes in Computer Science #10092)
by Zhigeng Pan Adrian David Cheok Wolfgang Müller Mingmin ZhangThis journal subline serves as a forum for stimulating and disseminating innovative research ideas, theories, emerging technologies, empirical investigations, state-of-the-art methods, and tools in all different genres of edutainment, such as game-based learning and serious games, interactive storytelling, virtual learning environments, VR-based education, and related fields. It covers aspects from educational and game theories, human-computer interaction, computer graphics, artificial intelligence, and systems design. The 25 papers presented in the 13th issue were organized in topical sections named: learning games and visualization; virtual reality and applications; 3D graphics technology, multimedia computing, and others.
Transactions on Engineering Technologies: World Congress on Engineering and Computer Science 2015 (Lecture Notes In Electrical Engineering #275)
by Sio-Iong Ao Haeng Kon Kim Mahyar A. AmouzegarThis proceedings volume contains selected revised and extended research articles written by researchers who participated in the World Congress on Engineering and Computer Science 2015, held in San Francisco, USA, 21-23 October 2015. Topics covered include engineering mathematics, electrical engineering, circuits, communications systems, computer science, chemical engineering, systems engineering, manufacturing engineering, and industrial applications.The book offers the reader an overview of the state of the art in engineering technologies, computer science, systems engineering and applications, and will serve as an excellent reference work for researchers and graduate students working in these fields.
Transactions on Engineering Technologies: International MultiConference of Engineers and Computer Scientists 2016 (Lecture Notes In Electrical Engineering #275)
by Sio-Iong Ao Haeng Kon Kim Xu Huang Oscar CastilloThis volume contains selected revised and extended research articles written by prominent researchers who participated in the International MultiConference of Engineers and Computer Scientists 2016, held in Hong Kong, 16-18 March 2016. Topics covered include engineering physics, communications systems, control theory, automation, engineering mathematics, scientific computing, electrical engineering, and industrial applications. The book showcases the tremendous advances in engineering technologies and applications, and also serves as an excellent reference work for researchers and graduate students working on engineering technologies, physical sciences and their applications.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXI: Special Issue on Data and Security Engineering (Lecture Notes in Computer Science #10140)
by Abdelkader Hameurlain Josef Küng Roland Wagner Tran Khanh Dang Nam ThoaiThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 31st issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected papers from the 2nd International Conference on Future Data and Security Engineering, FDSE 2015, and the 9th International Conference on Advanced Computing and Applications, ACOMP 2015, which were held in Ho Chi Minh City, Vietnam, in November 2015. Topics covered include big data analytics, data models and languages, security and privacy, complex business services, and cloud data management.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXII: Special Issue on Big Data Analytics and Knowledge Discovery (Lecture Notes in Computer Science #10420)
by Abdelkader Hameurlain Josef Küng Roland Wagner Sanjay Madria Takahiro HaraThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.This volume, the 32nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Big Data Analytics and Knowledge Discovery, and contains extended and revised versions of five papers selected from the 17th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, during September 1-4, 2015. The five papers focus on the exact detection of information leakage, the binary shapelet transform for multiclass time series classification, a discrimination-aware association rule classifier for decision support (DAAR), new word detection and tagging on Chinese Twitter, and on-demand snapshot maintenance in data warehouses using incremental ETL pipelines, respectively. discovery,="" contains="" extended="" revised="" versions="" five="" papers="" selected="" from="" 17th="" international="" conference="" discovery="" (dawak="" 2015),="" held="" in="" valencia,="" spain,="" during="" september="" 1-4,="" 2015.="" focus="" exact="" detection="" information="" leakage,="" binary="" shapelet="" transform="" for="" multiclass="" time="" series="" classification,="" a="" discrimination-aware="" association="" rule="" classifier="" decision="" support="" (daar),="" new="" word="" tagging="" chinese="" twitter,="" on-demand="" snapshot="" maintenance="" warehouses="" using="" incremental="" etl="" pipelines,="" respectively.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII (Lecture Notes in Computer Science #10430)
by Abdelkader Hameurlain Josef Küng Roland Wagner Reza Akbarinia Esther PacittiThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIV: Special Issue on Consistency and Inconsistency in Data-Centric Applications (Lecture Notes in Computer Science #10620)
by Abdelkader Hameurlain Josef Küng Roland Wagner Hendrik DeckerThis volume, the 34th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue consisting of seven papers on the subject of Consistency and Inconsistency in Data-Centric Applications. The volume opens with an invited article on basic postulates for inconsistency measures. Three of the remaining six papers are revised, extended versions of papers presented at the First International Workshop on Consistency and Inconsistency, COIN 2016, held in conjunction with DEXA 2016 in Porto, Portugal, in September 2016. The other three papers were selected from submissions to a call for contributions to this edition. Each of the papers highlights a particular subtopic. However, all are concerned with logical inconsistencies that are either to be systematically avoided, or reasoned with consistently, i.e., without running the danger of an explosion of inferences.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV (Lecture Notes in Computer Science #10680)
by Abdelkader Hameurlain Josef Küng Roland Wagner Sherif Sakr Imran Razzak Alshammari RiyadThis volume, the 35th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully-revised selected regular papers focusing on data quality, social-data artifacts, data privacy, predictive models, and e-health. Specifically, the five papers present and discuss a data-quality framework for the Estonian public sector; a data-driven approach to bridging the gap between the business and social worlds; privacy-preserving querying on privately encrypted data in the cloud; algorithms for the prediction of norovirus concentration in drinking water; and cloud computing in healthcare organizations in Saudi Arabia.