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Language Learning with Technology: Perspectives from Asia
by Lindsay Miller Junjie Gavin WuThis book is about language learning with technology, offering readers theoretical insights as well as practical case studies with a focus on Asia and Asian students. Although technology is rapidly advancing and most, if not all, students are already using technology in their everyday lives, traditional teaching/learning practices still exist throughout Asia. This book provides examples, written by representative educators, from a variety of countries/regions and contexts where technology has successfully been used to enhance language learning. In addition to some everyday examples of using technology: Wikipedia, PowerPoint, Google Docs and YouTube, the book also offers the readers an insight into the future possible uses of advanced technology: Augmented Reality, Virtual Reality, Artificial Intelligence and Eye Tracking. The book presents illustrations of how teachers can, and perhaps should, be open to integrating some form of technology into in-class learning or using it to supplement out-of-class activities.
Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 1 (Advances in Intelligent Systems and Computing #1392)
by Aruna Tiwari Kapil Ahuja Anupam Yadav Jagdish Chand Bansal Kusum Deep Atulya K. NagarThis two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 2 (Advances in Intelligent Systems and Computing #1393)
by Aruna Tiwari Kapil Ahuja Anupam Yadav Jagdish Chand Bansal Kusum Deep Atulya K. NagarThis two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
Digital Democracy – IT for Change: 53rd Annual Convention of the Computer Society of India, CSI 2020, Bhubaneswar, India, January 16–18, 2020, Revised Selected Papers (Communications in Computer and Information Science #1372)
by Prafulla Kumar Behera Purna Chandra SethiThis book constitutes the refereed proceedings of the 53rd Annual Convention of the Computer Society of India, CSI 2020, held in Bhubaneswar, India, in January 2020.The 3 revised full and 7 revised short papers, along with 1 poster paper, presented were carefully reviewed and selected from 144 submissions. The theme of CSI 2021, Digital Democracy – IT for Change, was selected to present the use of information and communication technology (ICT) in political and governance processes. The papers focus on topics such as digital democracy, digital communication, digital analytics and digital security.
Intelligent Decision Technologies: Proceedings of the 13th KES-IDT 2021 Conference (Smart Innovation, Systems and Technologies #238)
by Ireneusz Czarnowski Robert J. Howlett Lakhmi C. JainThis book contains selected papers from the KES-IDT-2021 conference, being held as a virtual conference in June 14–16, 2021. The KES-IDT is an interdisciplinary conference with opportunities for the presentation of new research results and discussion about them under the common title "Intelligent Decision Technologies". The conference has been creating for years a platform for knowledge transfer and the generation of new ideas in the field of intelligent decision making.The range of topics discussed during the conference covered methods of classification, prediction, data analysis, big data, decision support, knowledge engineering, modeling, social networks and many more in areas such as finance, economy, management and transportation. The discussed topics covered also decision making for problems regarding the electric vehicle industry.The book contains also several sections devoted to specific topics, such asAdvances in intelligent data processing and its applicationsMulti-criteria decision analysis methodsKnowledge engineering in large-scale systemsHigh-dimensional data analysisSpatial data analysis and sparse estimationInnovative technologies and applications in computer intelligenceIntelligent diagnosis and monitoring of systemsDecision making theory for economics.
An Introduction to Artificial Intelligence in Education (Bridging Human and Machine: Future Education with Intelligence)
by Shengquan Yu Yu LuThis book systematically reviews a broad range of cases in education that utilize cutting-edge AI technologies. Furthermore, it introduces readers to the latest findings on the scope of AI in education, so as to inspire researchers from non-technological fields (e.g. education, psychology and neuroscience) to solve education problems using the latest AI techniques. It also showcases a number of established AI systems and products that have been employed for education. Lastly, the book discusses how AI can offer an enabling technology for critical aspects of education, typically including the learner, content, strategy, tools and environment, and what breakthroughs and advances the future holds.The book provides an essential resource for researchers, students and industrial practitioners interested and engaged in the fields of AI and education. It also offers a convenient handbook for non-professional readers who need a primer on AI in education, and who want to gain a deeper understanding of emerging trends in this domain.
Emerging Frontiers in Operations and Supply Chain Management: Theory and Applications (Asset Analytics)
by B. Vipin C. Rajendran Ganesh Janakiraman Deepu PhilipThis edited book addresses the challenges in managing the operations and supply chain of organizations in the era of internet of things and Industry 4.0. It presents cutting edge research on real world operations related problems, in-depth analyses, and relevant managerial implications. Wide variety of solution approaches such as quantitative, quantitative, and simulations are presented in the context of managing the operations and supply chains. Consisting of selected papers from the XXIII Annual International Conference of Society of Operations Management, this volume is part of a two volume series with the other book consisting of chapters on quantitative decision making. This edited book covers various quantitative models on operations and supply chain management such as inventory optimization, machine learning-operations research integrated model for healthcare systems, game-theoretic analysis of review strategies in truthful information sharing, design of contracts in supply chains, supply chain optimization, inventory routing, and shop floor scheduling. In addition to the quantitative models, several innovative heuristics are proposed for different problems. This book explores qualitative models on improving the performance of small and medium enterprises and petroleum industries and a simulation model for staff allocation in the information technology industry. Finally, this book provides review articles on vaccine supply chains and behavioral operations management.The book throws light on the emerging trends in the use of analytics, optimization, and simulation tools and empirical analysis to improve the performance of operations and supply chains of organizations. It will serve as an essential resource for practitioners, students, faculty members and scholars in operations management and related areas to gain knowledge and pursue high quality research on developments in areas such as managing the resource management and the solution methodology---innovative tools employed in addressing the real world problems and the different optimization techniques.
Impact of AI and Data Science in Response to Coronavirus Pandemic (Algorithms for Intelligent Systems)
by Sushruta Mishra Pradeep Kumar Mallick Hrudaya Kumar Tripathy Gyoo-Soo Chae Bhabani Shankar Prasad MishraThe book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.
Smart Education and e-Learning 2021 (Smart Innovation, Systems and Technologies #240)
by Lakhmi C. Jain Robert J. Howlett Vladimir L. UskovThis book contains the contributions presented at the 8th International KES Conference on Smart Education and e-Learning (KES SEEL 2021), which being held as a virtual conference on June 14–16, 2021. It contains high-quality peer-reviewed papers that are grouped into several interconnected parts: smart education; smart e-learning; smart education: systems and technology; smart education: case studies and research; digital education and economics in smart university, smart university development: organizational, managerial and social Issues; smart universities and their Impact on students with disabilities. This book serves as a useful source of research data and valuable information on current research projects, best practices, and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners— all those who are interested in smart education and smart e-learning.
Platform Business Models: Frameworks, Concepts and Design (Management for Professionals)
by R. SrinivasanThis book introduces platform firms as unique business models. Leveraging on the early literature on network economics and strategy frameworks, this book explores how platform business firms evolve in the modern business world. Taking a strategic perspective, this book engages the reader with core concepts, case studies, and frameworks for analyzing platform business firms. This book differentiates platform business firms from traditional pipeline firms; explores engagement with different actors, value creation, and operations of platforms; elucidates resources and capabilities of platform firms that provide them sustained competitive advantage; analyzes performance levers in operating platform business models, including complementarities with other business models; and discusses the sustainability of platform business models, in the face of regulatory and societal challenges, among others. The book is designed as a primer for entrepreneurs setting up and operating platform business firms, senior managers in large corporations repurposing their resources to initiate network dynamics in their businesses, early career managers, and professionals engaging with myriad platform firms for their professional and personal needs. This book intends to provide a decision-maker with a portfolio of decisions to make to create, operate, sustain, and generate value out of a platform business firm. It is also useful for policy professionals to appreciate the economics and policy implications of regulating and governing platforms in a post-digital world.
Artificial Intelligence in Construction Engineering and Management (Lecture Notes in Civil Engineering #163)
by Limao Zhang Yue Pan Xianguo Wu Mirosław J. SkibniewskiThis book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Smart Systems: Proceedings of SSIC 2021 (Smart Innovation, Systems and Technologies #235)
by Arun K. Somani Ankit Mundra Robin Doss Subhajit BhattacharyaThis book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), presenting scientific work related to smart solution concepts. It discusses scientific works related to smart solutions concept in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of the topics covered, the book appeals to researchers pursuing advanced studies.
From Opinion Mining to Financial Argument Mining (SpringerBriefs in Computer Science)
by Chung-Chi Chen Hen-Hsen Huang Hsin-Hsi ChenOpinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish. Thanks to the recent financial technology (FinTech) development, some interdisciplinary researchers start to involve in the in-depth analysis of investors' opinions. These works indicate the trend toward fine-grained opinion mining in the financial domain. When expressing opinions in finance, terms like bullish/bearish often spring to mind. However, the market sentiment of the financial instrument is just one type of opinion in the financial industry. Like other industries such as manufacturing and textiles, the financial industry also has a large number of products. Financial services are also a major business for many financial companies, especially in the context of the recent FinTech trend. For instance, many commercial banks focus on loans and credit cards. Although there are a variety of issues that could be explored in the financial domain, most researchers in the AI and NLP communities only focus on the market sentiment of the stock or foreign exchange. This open access book addresses several research issues that can broaden the research topics in the AI community. It also provides an overview of the status quo in fine-grained financial opinion mining to offer insights into the futures goals. For a better understanding of the past and the current research, it also discusses the components of financial opinions one-by-one with the related works and highlights some possible research avenues, providing a research agenda with both micro- and macro-views toward financial opinions.
Recent Trends in Engineering Design: Select Proceedings of ICCEMME 2021 (Lecture Notes in Mechanical Engineering)
by Bangarubabu Popuri Amit Tyagi N. R. Chauhan Ashish GuptaThis book presents the select proceedings of the 3rd International Conference on Computational and Experimental Methods in Mechanical Engineering (ICCEMME 2020). The book discusses the recent researches and concrete findings in the field of mechanical design and automation with its allied branches. Various topics covered in this book include modeling and simulation, application of modelling to complex real-world systems, application of machine or deep learning in mechanical problems, artificial intelligence, vehicle design, robotics, vehicle dynamics and control, biomechanics, and vibration-related problems. Given its content, the book will be useful for beginners, researchers, and professionals interested in the field of mechanical engineering.
IoT and Analytics for Sensor Networks: Proceedings of ICWSNUCA 2021 (Lecture Notes in Networks and Systems #244)
by Padmalaya Nayak Souvik Pal Sheng-Lung PengThis book includes high-quality research papers presented at the 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is held at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, during 26–27 February, 2021. This volume focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquious computing. Different research topics are illustrated in this book, like wireless sensor networks for the Internet of Things; IoT applications for eHealth; smart cities; architectures for WSNs and IoT, WSNs hardware and new devices; low-power wireless technologies; wireless ad hoc sensor networks; routing and data transfer in WSNs; multicast communication in WSNs; security management in WSNs and in IoT systems; and power consumption optimization in WSNs.
Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #70)
by Neha Sharma Amlan Chakrabarti Valentina Emilia Balas Alfred M. BrucksteinThis book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #71)
by Neha Sharma Amlan Chakrabarti Valentina Emilia Balas Alfred M. BrucksteinThis book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases (Information Fusion and Data Science)
by Tania Cerquitelli Nikolaos Nikolakis Niamh O’Mahony Enrico Macii Massimo Ippolito Sotirios MakrisThis book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.
Understanding and Managing the Impact of Airbnb: The Case of Western Australia from 2015 to the COVID-19 Pandemic in 2020
by Michael Volgger Christof Pforr Sara Cavalcanti Marques Aji Cahya NusantaraThis book explores the rapid growth of the sharing economy, specifically of Airbnb, in recent years and how it has challenged traditional economies in many countries around the globe. With almost 5 million listings in more than 190 countries, many consider Airbnb as one of the most disruptive developments in tourism over the past decade. While this is a book about Western Australia as a case in point, the issues addressed in this book speak to the broader development of the sharing economy and its effects experienced nationally and indeed internationally. Thus, through the adoption of a case-specific analysis of the growth and impact of Airbnb, the book significantly contributes to closing existing knowledge gaps on the Airbnb phenomenon by exploring not only stakeholder perceptions of the sharing economy and Airbnb, the extent of Airbnb supply and demand, and how this differs from conventional accommodation demand, but also what policy responses have been employed in other tourism destinations worldwide. Western Australia in this regard serves as an exemplar case to shed light on the Airbnb phenomenon. This book presents a comprehensive global study that has investigated the Airbnb phenomenon from a supply, demand, stakeholder, and government response perspective and thus offers new empirical insights, which are of interest to government agencies and the tourism sector and are a valuable source of data to inform current policy debate.
Hybrid Artificial Intelligence and IoT in Healthcare (Intelligent Systems Reference Library #209)
by Akash Kumar Bhoi Pradeep Kumar Mallick Mihir Narayana Mohanty Victor Hugo C. de AlbuquerqueThis book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.
Agents and Multi-Agent Systems: Proceedings of 15th KES International Conference, KES-AMSTA 2021, June 2021 (Smart Innovation, Systems and Technologies #241)
by G. Jezic J. Chen-Burger M. Kusek R. Sperka R. J. Howlett Lakhmi C. JainThis book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation, and anthropic-oriented computing that were originally presented at the 15th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2021), being held as a Virtual Conference in June 14–16, 2021. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems, and nature-inspired manufacturing, all of which contribute to the modern digital economy.
Innovation in Medicine and Healthcare: Proceedings of 9th KES-InMed 2021 (Smart Innovation, Systems and Technologies #242)
by Yen-Wei Chen Satoshi Tanaka Robert J. Howlett Lakhmi C. JainThis book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-21), held virtually on June 14–16, 2021. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.
Data Science and Medical Informatics in Healthcare Technologies (SpringerBriefs in Applied Sciences and Technology)
by Nguyen Thi Dieu Linh Zhongyu (Joan) LuThis book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.
Recent Advances in Smart Manufacturing and Materials: Select Proceedings of ICEM 2020 (Lecture Notes in Mechanical Engineering)
by Rajeev Agrawal Jinesh Kumar Jain Vinod Singh Yadav Vijaya Kumar Manupati Leonilde VarelaThis book presents select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including internet-of-things for cyber manufacturing, data analytics for manufacturing systems and processes and materials. The topics covered include modeling simulation and decision making in cyber physical systems for supporting engineering and production management, innovative approach in materials development, biomaterial applications, and advancement in manufacturing and material technologies. The book also discusses sustainability in manufacturing and supply chain management including circular economy. The book will be a valuable reference for beginners, researchers, and professionals interested in smart manufacturing in engineering, production management and materials technology.
Privacy and Data Protection in Software Services (Services and Business Process Reengineering)
by Roberto Senigaglia Claudia Irti Alessandro BernesThe aim of the book is to create a bridge between two ‘lands’ that are usually kept separate: technical tools and legal rules should be bound together for moulding a special ‘toolbox’ to solve present and future issues. The volume is intended to contribute to this ‘toolbox’ in the area of software services, while addressing how to make legal studies work closely with engineers’ and computer scientists’ fields of expertise, who are increasingly involved in tangled choices on daily programming and software development. In this respect, law has not lost its importance and its own categories in the digital world, but as well as any social science needs to experience a new realistic approach amid technological development and individuals’ fundamental rights and freedoms.