This book is open access under a CC BY 4.0 license.
With technology standards becoming increasingly common, particularly in the information and communications technology (ICT) sector, the complexities and contradictions at the interface of intellectual property law and competition law have emerged strongly. This book talks about how the regulatory agencies and courts in the United States, European Union and India are dealing with the rising allegations of anti-competitive behaviour by standard essential patent (SEP) holders. It also discusses the role of standards setting organizations / standards developing organizations (SSO/SDO) and the various players involved in implementing the standards that influence practices and internal dynamics in the ICT sector. This book includes discussions on fair, reasonable and non-discriminatory (FRAND) licensing terms and the complexities that arise when both licensors and licensees of SEPs differ on what they mean by "fair", "reasonable" and "non-discriminatory" terms. It also addresses topics such as the appropriate royalty base, calculation of FRAND rates and concerns related to FRAND commitments and the role of Federal Trade Commission (FTC) in collaborative standard setting process. This book provides a wide range of valuable information and is a useful tool for graduate students, academics and researchers.
This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science.
This open access edited book captures the complexities and conflicts arising at the interface of intellectual property rights (IPR) and competition law. To do so, it discusses four specific themes: (a) policies governing functioning of standard setting organizations (SSOs), transparency and incentivising future innovation; (b) issue of royalties for standard essential patents (SEPs) and related disputes; (c) due process principles, procedural fairness and best practices in competition law; and (d) coherence of patent policies and consonance with competition law to support innovation in new technologies.
Many countries have formulated policies and re-oriented their economies to foster technological innovation as it is seen as a major source of economic growth. At the same time, there have been tensions between patent laws and competition laws, despite the fact that both are intended to enhance consumer welfare. In this regard, licensing of SEPs has been debated extensively, although in most instances, innovators and implementers successfully negotiate licensing of SEPs. However, there have been instances where disagreements on royalty base and royalty rates, terms of licensing, bundling of patents in licenses, pooling of licenses have arisen, and this has resulted in a surge of litigation in various jurisdictions and also drawn the attention of competition/anti-trust regulators. Further, a lingering lack of consensus among scholars, industry experts and regulators regarding solutions and techniques that are apposite in these matters across jurisdictions has added to the confusion. This book looks at the processes adopted by the competition/anti-trust regulators to apply the principles of due process and procedural fairness in investigating abuse of dominance cases against innovators.
This important new volume presents recent research in healthcare information technology and analytics. Individual chapters look at such issues as the impact of technology failure on electronic prescribing behavior in primary care; attitudes toward electronic health records; a latent growth modeling approach to understanding lifestyle decisions based on patient historical data; designing an integrated surgical care delivery system using axiomatic design and petri net modeling; and failure in a dynamic decision environment, particularly in treating patients with a chronic disease.Other chapters look at such topics as the impact of information technology integration in integrated delivery systems; operations and supply chain control for inventory management in a health system pharmacy; decision-theoretic assistants based on contextual gesture recognition; evaluating emergency response medical information systems; clinical decision support in critical care; virtual worlds in healthcare; and natural language processing for understanding contraceptive use at the VA.
This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security.
By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.
This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications.
This 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.
The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
This book provides a comprehensive and contemporary source of reference for the gig economy for sustainable businesses with a focus on Industry 4.0. It covers the theoretical and practical implications of the rise of an alternative system in the era of technology-driven business entities; and explains the emergence of the gig economy as a crucial factor in devising approaches that will help in ensuring better decision making.As the COVID-19 pandemic rages on, investors and corporations are attempting to overcome the turbulence in financial markets over the past few months. Governments and economists are scrambling to mitigate the impacts of lockdowns. Many businesses have transferred to a remote working system, and the critical challenge remains to make this form of work and business productive, efficient, and sustainable. Against this backdrop, the book provides an overview of the gig economy from varied perspective such as general business and economics; ethics, governance, and legal issues; diffusion of IT in the workplace; sustainability; future of workforce and workplaces during and post-pandemic scenarios. This edited volume also highlights several challenges and opportunities for managing the diverse workforce in the prevailing situation which has no precedence.With its discussions on the impact of the gig economy on the business world, the book carries appeal for scholars in the business, human resource professionals, industry practitioners, corporates, and policy advocates interested in learning about evolution, automation, marketing, and sustainability in the gig economy.