- Table View
- List View
Artificial Intelligence and Judicial Modernization
by Yadong CuiThis book comprehensively describes the status quo of artificial intelligence technology applications in the judicial field in China. Written by Cui Yadong, the former President of Shanghai Senior People's Court, it is divided into three parts: the first part focuses mainly on the theoretical issues related to artificial intelligence and judicial applications. The second part highlights practical aspects, discussing the research and development process, the implementation of the"206 system" and the major breakthroughs. The third part then addresses lessons learned and the thinking, particularly the thinking on "building the future rule of law of artificial intelligence", a new topic that responds to people's concerns about the risks and challenges of the development of artificial intelligence. In this context, the book argues that the judicial task is twofold: On the one hand, it should actively promote the integration and application of AI in the judiciary, judicial intelligence, and judicial modernization. On the other hand, it should encourage the construction of a future rule of law system of artificial intelligence, highlight the role of the judiciary in dealing with future risks and challenges, bring the development of artificial intelligence into line with the rule of law, and use the rule of law to promote, standardize and guarantee the safe, reliable and controllable development of artificial intelligence.
Tailored Gamification to Educational Technologies
by Ig Ibert Bittencourt Wilk OliveiraThis book introduces and explores the field of tailored gamified educational technologies. Providing a theoretical overview of the domain, including a number of related psychological and educational theories along with a complete state-of-the-art analysis on this topic, it presents an approach and architecture to tailor these systems to students’ gamer type and age.
Transactions on Engineering Technologies: International MultiConference of Engineers and Computer Scientists 2018 (Lecture Notes In Electrical Engineering Ser. #275)
by Sio-Iong Ao Oscar Castillo Haeng Kon Kim Hideki Katagiri Alan Hoi-shou ChanThis book contains revised and extended research articles written by prominent researchers, selected from presentations at the International MultiConference of Engineers and Computer Scientists (IMECS 2018) held in Hong Kong, 14-16 March, 2018. Topics covered include engineering physics, communications systems, control theory, automation, engineering mathematics, scientific computing, electrical engineering, and industrial applications. The book gives a snapshot of selected advances in engineering technologies and their applications, and will serve as a useful reference for researchers and graduate students in these fields.
Quantum Finance: Intelligent Forecast and Trading Systems
by Raymond S. LeeWith the exponential growth of program trading in the global financial industry, quantum finance and its underlying technologies have become one of the hottest topics in the fintech community. Numerous financial institutions and fund houses around the world require computer professionals with a basic understanding of quantum finance to develop intelligent financial systems. This book presents a selection of the author’s past 15 years’ R&D work and practical implementation of the Quantum Finance Forecast System – which integrates quantum field theory and related AI technologies to design and develop intelligent global financial forecast and quantum trading systems. The book consists of two parts: Part I discusses the basic concepts and theories of quantum finance and related AI technologies, including quantum field theory, quantum price fields, quantum price level modelling and quantum entanglement to predict major financial events. Part II then examines the current, ongoing R&D projects on the application of quantum finance technologies in intelligent real-time financial prediction and quantum trading systems. This book is both a textbook for undergraduate & masters level quantum finance, AI and fintech courses and a valuable resource for researchers and data scientists working in the field of quantum finance and intelligent financial systems. It is also of interest to professional traders/ quants & independent investors who would like to grasp the basic concepts and theory of quantum finance, and more importantly how to adopt this fascinating technology to implement intelligent financial forecast and quantum trading systems. For system implementation, the interactive quantum finance programming labs listed on the Quantum Finance Forecast Centre official site (QFFC.org) enable readers to learn how to use quantum finance technologies presented in the book.
VLSI Design and Test: 23rd International Symposium, VDAT 2019, Indore, India, July 4–6, 2019, Revised Selected Papers (Communications in Computer and Information Science #1066)
by Rohit Sharma Virendra Singh Sudeb Dasgupta Anirban Sengupta Santosh Kumar VishvakarmaThis book constitutes the refereed proceedings of the 23st International Symposium on VLSI Design and Test, VDAT 2019, held in Indore, India, in July 2019. The 63 full papers were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections named: analog and mixed signal design; computing architecture and security; hardware design and optimization; low power VLSI and memory design; device modelling; and hardware implementation.
Joint Training for Neural Machine Translation (Springer Theses)
by Yong ChengThis book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy of the attention mechanism, it proposes an agreement-based joint training approach to help the two complementary models agree on word alignment matrices for the same training data. Second, it presents a semi-supervised approach that uses an autoencoder to reconstruct monolingual corpora, so as to incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.
Proceedings of 2019 Chinese Intelligent Systems Conference: Volume III (Lecture Notes in Electrical Engineering #594)
by Yingmin Jia Junping Du Weicun ZhangThis book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control, Guidance, Navigation and Control of Aerial Vehicles, and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.
Smart Intelligent Computing and Applications: Proceedings of the Third International Conference on Smart Computing and Informatics, Volume 2 (Smart Innovation, Systems and Technologies #160)
by J. R. Mohanty Suresh Chandra Satapathy Vikrant Bhateja Siba K. UdgataThis book presents high-quality papers from the Third International Conference on Smart Computing and Informatics (SCI 2018−19), organized by the School of Computer Engineering and School of Computer Application, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, from 21 to 22 December 2018. It includes advanced and multi-disciplinary research on the design of smart computing and informatics, focusing on innovation paradigms in system knowledge, intelligence and sustainability that have the potential to provide realistic solutions to various problems in society, the environment and industry. The papers featured provide a valuable contribution to the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in varied disciplines of science, technology and health care.
Proceedings of 2019 Chinese Intelligent Systems Conference: Volume II (Lecture Notes in Electrical Engineering #593)
by Yingmin Jia Junping Du Weicun ZhangThis book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control, Guidance, Navigation and Control of Aerial Vehicles, and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.
Proceedings of 2019 Chinese Intelligent Systems Conference: Volume I (Lecture Notes in Electrical Engineering #592)
by Yingmin Jia Junping Du Weicun ZhangThis book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control, Guidance, Navigation and Control of Aerial Vehicles, and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.
Computational Network Application Tools for Performance Management (Asset Analytics)
by Millie Pant Tarun K. Sharma Sebastián Basterrech Chitresh BanerjeeThis book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book discusses challenging issues like enhancing system efficiency, performance, and assurance management, and blends the concept of system modeling and optimization techniques with soft computing, neural network, and sensor network approaches. In addition, it presents certain metrics and measurements that can be translated into business value. These metrics and measurements can also help to establish an empirical performance baseline for various applications, which can be used to identify changes in system performance. By presenting various intelligent technologies, the book provides readers with compact but insightful information on several broad and rapidly growing areas in the computation network application domain.The book’s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book was written to serve a broad readership, including engineers, computer scientists, management professionals, and mathematicians interested in studying tools and techniques for computational intelligence and applications for performance analysis. Featuring theoretical concepts and best practices in computational network applications, it will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of soft computing, neural networks, machine learning, sensor networks, smart security, etc.
Intersections in Simulation and Gaming: Third Australasian Simulation Congress, ASC 2019, Gold Coast, Australia, September 2–5, 2019, Proceedings (Communications in Computer and Information Science #1067)
by Anjum Naweed Lorelle Bowditch Cyle SprickThis book constitutes the refereed proceedings of the Australasian Simulation Congress, ASC 2019, held in Gold Coast, Australia in September 2019. The 10 papers presented were carefully reviewed and selected from 17 submissions. They provide a forum for sharing progresses in the areas of human dimensions; gaming experience; design and application; search and rescue; defence-oriented technology and training.
Data Mining and Big Data: 4th International Conference, DMBD 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings (Communications in Computer and Information Science #1071)
by Ying Tan Yuhui ShiThis book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July 2019. The 26 fill papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections named: data analysis; prediction; clustering; classification; mining pattern; mining tasks.
Transactions on Engineering Technologies: World Congress on Engineering 2018 (Lecture Notes In Electrical Engineering Ser. #275)
by Sio-Iong Ao Len Gelman Haeng Kon KimThis volume contains a selection of revised and extended research articles written by prominent researchers participating in The 26th World Congress on Engineering (WCE 2018) which was held in London, U.K., July 4-6, 2018. Topics covered include engineering mathematics, electrical engineering, communications systems, computer science, chemical engineering, systems engineering, manufacturing engineering, and industrial applications. With contributions carefully chosen to represent the most cutting-edge research presented during the conference, the book contains some of the state-of-the-art in engineering technologies and the physical sciences and their applications, and serves as a useful reference for researchers and graduate students working in these fields.
Computing in Engineering and Technology: Proceedings of ICCET 2019 (Advances in Intelligent Systems and Computing #1025)
by Brijesh Iyer P. S. Deshpande S. C. Sharma Ulhas ShiurkarThe book is a collection of selected high quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2019), held on January 10–11, 2019 at Deogiri Institute of Engineering and Management Studies, Aurangabad, India. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students, and engineers alike.
Advances in Simulation, Product Design and Development: Proceedings of AIMTDR 2018 (Lecture Notes on Multidisciplinary Industrial Engineering)
by M. S. Shunmugam M. KanthababuThis volume comprises select proceedings of the 7th International and 28th All India Manufacturing Technology, Design and Research conference 2018 (AIMTDR 2018). The papers in this volume discuss simulations based on techniques such as finite element method (FEM) as well as soft computing based techniques such as artificial neural network (ANN), their optimization and the development and design of mechanical products. This volume will be of interest to researchers, policy makers, and practicing engineers alike.
Information, Photonics and Communication: Proceedings of Second National Conference, IPC 2019 (Lecture Notes in Networks and Systems #79)
by Jyotsna Kumar Mandal Kallol Bhattacharya Ivy Majumdar Surajit MandalThe book includes high-quality papers presented at the Second National Conference of Information, Photonics and Communication (2019), organized by the Department of Electronics & Communication Engineering, B.P. Poddar Institute of Management & Technology from 01 to 03 February 2019. Covering multiple domains in four broad categories—photonics; devices and VLSI; communication systems and networks; signal processing and intelligent systems, it includes topics such as RF and microwave communications, wireless and mobile communication, satellite communications, signal, image and video processing, deep learning and optical networks.
Innovation and Entrepreneurship in an Educational Ecosystem: Cases from Taiwan
by Carol Yeh-Yun Lin Sehwa WuThis book reports on 12 education innovation cases in Taiwan and focus particularly on an ecosystem to demonstrate innovation as a competitive advantage and requires an ecosystem to be sustainable in virtually all disciplines. It also covers the trend of education innovation in many countries, with “education entrepreneurship” being the frequently used description. The 12 educators highlighted here are even more entrepreneurial than many businesspeople. Generally, schools are required to follow certain rules, especially the public schools. Accordingly, the book also describes how these education entrepreneurs have innovatively created a fostering environment under challenging constraints to facilitate the success of students, teachers, and even the local community. Six of the cases involve school-based innovation, while the other six focus on student-based innovation. Their stories provide valuable insights for all companies seeking to become more innovative in a resource-constrained setting.
Magneto-transport Properties of Skyrmions and Chiral Spin Structures in MnSi (Springer Theses)
by Tomoyuki YokouchiThis book provides extensive and novel insights into transport phenomena in MnSi, paving the way for applying the topology and chirality of spin textures to the development of spintronics devices. In particular, it describes in detail the key measurements, e.g. magnetoresistance and nonlinear electronic transport, and multiple material-fabrication techniques based on molecular beam epitaxy, ion-beam microfabrication and micromagnetic simulation. The book also reviews key aspects of B20-type MnSi chiral magnets, which host magnetic skyrmions, nanoscale objects formed by helical spatial spin structures. Readers are then introduced to cutting-edge findings on the material. Furthermore, by reviewing the author’s successful experiments, the book provides readers with a valuable update on the latest achievements in the measurement and fabrication of magnetic materials in spintronics.
Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2 (Advances in Intelligent Systems and Computing #1027)
by Xin-She Yang Nilanjan Dey Amit Joshi Simon SherrattThe second volume of this book includes selected high-quality research papers presented at the Fourth International Congress on Information and Communication Technology, which was held at Brunel University, London, on February 27–28, 2019. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT), and e-mining. Written by respected experts and researchers actively working in ICT, the book offers a valuable resource, especially for researchers who are newcomers to the field.
Data Analytics Approaches in Educational Games and Gamification Systems (Smart Computing and Intelligence)
by Maiga Chang Ahmed TliliGame-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis in game-based learning environments, namely educational games and gamification systems, to provide smart learning. Specifically, it discusses the purposes, advantages and limitations of applying such approaches in these environments. Additionally, the various smart game-based learning environments presented help readers integrate learning analytics in their educational games and gamification systems to, for instance, assess and model students (e.g. their computational thinking) or enhance the learning process for better outcomes. Moreover, the book presents general guidelines on various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which facilitate incorporating learning analytics into educational games and gamification systems.After a general introduction to help readers become familiar with the subject area, the individual chapters each discuss a different aim of applying data analytics approaches in educational games and gamification systems. Lastly, the conclusion provides a summary and presents general guidelines and frameworks to consider when designing smart game-based learning environments with learning analytics.
Quantum Image Processing
by Fei Yan Salvador E. Venegas-AndracaThis book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks. It summarizes the available quantum image representations and their operations, reviews the possible quantum image applications and their implementation, and discusses the open questions and future development trends. It offers a valuable reference resource for graduate students and researchers interested in this emerging interdisciplinary field.
Transportation Systems: Managing Performance through Advanced Maintenance Engineering (Asset Analytics)
by Sarbjeet Singh Alberto Martinetti Arnab Majumdar Leo A. M. van DongenThis book explores the application of breakthrough technologies to improve transportation performance. Transportation systems represent the “blood vessels” of a society, in which people and goods travel. They also influence people’s lives and affect the liveability and sustainability of our cities. The book shows how emergent technologies are able to monitor the condition of the structure in real time in order to schedule the right moment for maintenance activities an so reduce the disturbance to users.This book is a valuable resource for those involved in research and development in this field. Part I discusses the context of transportation systems, highlighting the major issues and challenges, the importance of understating human factors that could affect the maintenance operations and the main goals in terms of safety standards. Part II focuses on process-oriented innovations in transportation systems; this section stresses the importance of including design parameters in the planning, offering a comparison between risk-based and condition-based maintenance and, lastly, showing applications of emergent technologies. Part III goes on to reflect on the technical-oriented innovations, discussing the importance of studying the physical phenomena that are behind transportation system failures and problems. It then introduces the general trend of collecting and analyzing big data using real-world cases to evaluate the positive and negative aspects of adopting extensive smart sensors for gathering information on the health of the assets. The last part (IV) explores cultural and behavioural changes, and new knowledge management methods, proposing novel forms of maintenance and vocational training, and introduces the need for radical new visions in transportation for managing unexpected events.The continuous evolution of maintenance fields suggests that this compendium of “state-of-the-art” applications will not be the only one; the authors are planning a collection of cutting-edge examples of transportation systems that can assist researchers and practitioners as well as students in the process of understanding the complex and multidisciplinary environment of maintenance engineering applied to the transport sector.
Artificial Intelligence: Second CCF International Conference, ICAI 2019, Xuzhou, China, August 22-23, 2019, Proceedings (Communications in Computer and Information Science #1001)
by Min-Ling Zhang Kevin Knight Changshui Zhang Geoff HolmesThis book constitutes the refereed proceedings of the Second CCF International Conference on Artificial Intelligence, CCF-ICAI 2019, held in Xuzhou, China in August, 2019. The 23 papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on deep learning, image and video processing, NLP and recommender system, machine learning algorithms, and AI applications.
Proceedings of 3rd International Conference on Computer Vision and Image Processing: CVIP 2018, Volume 2 (Advances in Intelligent Systems and Computing #1024)
by Sanjeev Kumar Bidyut B. Chaudhuri Masaki Nakagawa Pritee KhannaThis book is a collection of carefully selected works presented at the Third International Conference on Computer Vision & Image Processing (CVIP 2018). The conference was organized by the Department of Computer Science and Engineering of PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India during September 29 - October 01, 2018. All the papers have been rigorously reviewed by the experts from the domain. This 2 volume proceedings include technical contributions in the areas of Image/Video Processing and Analysis; Image/Video Formation and Display; Image/Video Filtering, Restoration, Enhancement and Super-resolution; Image/Video Coding and Transmission; Image/Video Storage, Retrieval and Authentication; Image/Video Quality; Transform-based and Multi-resolution Image/Video Analysis; Biological and Perceptual Models for Image/Video Processing; Machine Learning in Image/Video Analysis; Probability and uncertainty handling for Image/Video Processing; and Motion and Tracking.