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Intellectual Property in Academia: A Practical Guide for Scientists and Engineers
by Nadya ReingandThis book provides a practical understanding of intellectual property basics relevant in an academic environment. It describes the process of performing a comprehensive prior art search, determining business value, filing for a patent, licensing to companies, and using follow-up patents to create a valuable portfolio. The text also covers starting a new business and recent changes in patent application procedures. A special chapter addresses issues in copyright law relevant to academics, such as determining what is copyrightable in reporting an industry-sponsored project.
Intellectual Property Issues in Microbiology
by Harikesh Bahadur Singh Chetan Keswani Surya Pratap SinghIn the current era current era of significant innovations, science and technology are powerful tools improving human welfare through prosperity and sustainable development. The development of microbiology based industries in any given country is shaped by the characteristics of its technology—particularly its close relation to scientific knowledge, and by country-specific factors such as the level and nature of the scientific knowledge base, the institutional set-up, and the role assumed by the government, all of which influence the country's ability to exploit the new opportunities.This unique book presents an integrated approach for sustained innovation in various areas of microbiology. Focusing on the industrial and socio-legal implications of IPR in microbiological advances, it offers a comprehensive overview not only of the implications of IPR in omics-based research but also of the ethical and intellectual standards and how these can be developed for sustained innovation.The book is divided into three sections discussing current advances in microbiological innovations, recent intellectual property issues in agricultural, and pharmaceutical microbiology respectively. Integrating science and business, it offers a glimpse behind the scenes of the microbiology industry, and provides a detailed analysis of the foundations of the present day industry for students and professionals alike.
Intellectual Property Issues in Nanotechnology
by Chetan KeswaniIntellectual Property Issues in Nanotechnology focuses on the integrated approach for sustained innovation in various areas of nanotechnology. The theme of this book draws to a great extent on the industrial and socio-legal implications of intellectual property rights for nanotechnology-based advances. The book takes a comprehensive look not only at the role of intellectual property rights in omics-based research but also at the ethical and intellectual standards and how these can be developed for sustained innovation. This book attempts to collate and organize information on current attitudes and policies in several emerging areas of nanotechnology. Adopting a unique approach, this book integrates science and business for an inside view of the industry. Peering behind the scenes, it provides a thorough analysis of the foundations of the present day industry for students and professionals alike.
Intellectual Property Protection for Plant Related Innovation: Fit for Future? (Law for Professionals)
by Michael Andreas KockThe book reviews the history, present, and likely future of intellectual property for plant-related inventions. It describes “what works” and “what does not work” in the current situation and analyzes whether the current intellectual property framework will be able to cope with the rise of genome editing/new breeding technologies (especially CRISPR Cas). Based on trend data, the analysis shows that the current system, including stakeholder initiatives, will most likely not be able to adapt to the technology change. It then evaluates different options for legislators to respond and proposes in detail a new holistic IP system which merges elements of the patent and the plant variety protection system into one new system.
Intellectual Pursuits of Nicolas Rashevsky
by Maya M. ShmailovWho was Nicolas Rashevsky? To answer that question, this book draws on Rashevsky's unexplored personal archival papers and shares interviews with his family, students and friends, as well as discussions with biologists and mathematical biologists, to flesh out and complete the picture. "Most modern-day biologists have never heard of Rashevsky. Why?" In what constitutes the first detailed biography of theoretical physicist Nicolas Rashevsky (1899-1972), spanning key aspects of his long scientific career, the book captures Rashevsky's ways of thinking about the place mathematical biology should have in biology and his personal struggle for the acceptance of his views. It brings to light the tension between mathematicians, theoretical physicists and biologists when it comes to the introduction of physico-mathematical tools into biology. Rashevsky's successes and failures in his efforts to establish mathematical biology as a subfield of biology provide an important test case for understanding the role of theory (in particular mathematics) in understanding the natural world. With the biological sciences moving towards new vistas of inter- and multi-disciplinary collaborations and research programs, the book will appeal to a wide readership ranging from historians, sociologists, and ethnographers of American science and culture to students and general readers with an interest in the history of the life sciences, mathematical biology and the social construction of science.
Intelligence and Technology: The Impact of Tools on the Nature and Development of Human Abilities (Educational Psychology Ser.)
by Robert J. Sternberg David D. PreissIn this volume, Robert J. Sternberg and David D. Preiss bring together different perspectives on understanding the impact of various technologies on human abilities, competencies, and expertise. The inclusive range of historical, comparative, sociocultural, cognitive, educational, industrial/organizational, and human factors approaches will stimula
Intelligence Communication in the Digital Era: Transforming Security, Defence and Business
by Rubén Arcos Randolph H. PhersonThis edited volume argues that producers of analysis need to shift from producing static, narrative products to much more dynamic, digitally-based platforms in order to remain competitive and relevant.
Intelligence Enabled Research: DoSIER 2021 (Studies in Computational Intelligence #1029)
by Siddhartha Bhattacharyya Gautam Das Sourav DeThis book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Intelligence Enabled Research: DoSIER 2020 (Advances in Intelligent Systems and Computing #1279)
by Siddhartha Bhattacharyya Paramartha Dutta Kakali DattaThis book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Intelligence Enabled Research: DoSIER 2019 (Advances in Intelligent Systems and Computing #1109)
by Siddhartha Bhattacharyya Sushmita Mitra Paramartha DuttaThis book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike, and will inspire future studies.
Intelligence in Big Data Technologies—Beyond the Hype: Proceedings of ICBDCC 2019 (Advances in Intelligent Systems and Computing #1167)
by J. Dinesh Peter Steven L. Fernandes Amir H. AlaviThis book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.
Intelligence in IoT-enabled Smart Cities
by Fadi Al-TurjmanSmart Cities and intelligence are among the most significant topics in IoT. Intelligence in communication and infrastructure implementation is at the heart of this concept, and its development is a key issue in smart cities. This book addresses the challenges in realizing intelligence in smart cities and sensing platforms in the era of cloud computing and IoT, varying from cost and energy efficiency to availability and service quality. It focuses on both the design and implementation aspects of artificial intelligence approaches in smart cities and sensing applications that are enabled and supported by IoT paradigms, and mainly on data delivery approaches and their performability aspects.
An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence
by Osonde A. Osoba William Welser IvMachine learning algorithms and artificial intelligence influence many aspects of life today and have gained an aura of objectivity and infallibility. The use of these tools introduces a new level of risk and complexity in policy. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems.
Intelligence of Things: The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #188)
by Nhu-Ngoc Dao Tran Ngoc Thinh Ngoc Thanh NguyenThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.
Intelligence of Things: The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #187)
by Nhu-Ngoc Dao Tran Ngoc Thinh Ngoc Thanh NguyenThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.
Intelligence of Things: The First International Conference on Intelligence of Things (ICIot 2022), Hanoi, Vietnam, August 17–19, 2022, Proceedings (Lecture Notes on Data Engineering and Communications Technologies #148)
by Ngoc-Thanh Nguyen Nhu-Ngoc Dao Quang-Dung Pham Hong Anh LeThis book constitutes the refereed proceedings of the First Conference on Intelligence of Things (ICIoT 2022), held in Hanoi, Vietnam, in August 2022. A total of 40 full papers in this book have been rigorously peer-reviewed and selected from over 100 submissions. The papers focused on the intelligence of things (AIoT) studies are organized in the following parts: theoretical intelligence analyses, intelligence services and applications, and intelligence service experiments. This book provides interested students and engineers with comprehensive and cutting-edge studies in the fields.
Intelligence of Things: AI-IoT Based Critical-Applications and Innovations
by Fadi Al-Turjman Anand Nayyar Ajantha Devi Piyush Kumar ShuklaThis book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (IoT) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using IoT. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for IoT. The book focuses on timely topics related to the field of AI enabled IoT applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled IoT in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled IoT, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysis, security, privacy, and ethics.
Intelligence Optimization for Green Scheduling in Manufacturing Systems (Engineering Applications of Computational Methods #18)
by Chao Lu Liang Gao Xinyu Li Lvjiang YinThis book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications.
Intelligence Science III: 4th IFIP TC 12 International Conference, ICIS 2020, Durgapur, India, February 24–27, 2021, Revised Selected Papers (IFIP Advances in Information and Communication Technology #623)
by Zhongzhi Shi Mihir Chakraborty Samarjit KarThis book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.
Intelligence Science IV: 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28–31, 2022, Proceedings (IFIP Advances in Information and Communication Technology #659)
by Zhongzhi Shi Yaochu Jin Xiangrong ZhangThis book constitutes the refereed proceedings of the 5th International Conference on Intelligence Science, ICIS 2022, held in Xi'an, China, in August 2022. The 41 full and 5 short papers presented in this book were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: Brain cognition; machine learning; data intelligence; language cognition; remote sensing images; perceptual intelligence; wireless sensor; and medical artificial intelligence.
Intelligent Agrifood Chains and Networks
by Michael Bourlakis Ilias Vlachos Vasileios ZeimpekisFood has a fundamental position in society, ensuring health, happiness and political stability. Consequently, the management of food chains and networks is one of the most important aspects of the modern food industry. Yet food is difficult to handle along long supply chains, with a limited window for storage and handling time, and the risk of spoiling if incorrectly handled or processed. These issues can lead to logistical problems that can severely affect product quality and freshness. Intelligent Agrifood Chains and Networks offers a timely discussion of the current state of food logistics, and indicates the major ICT problems that can occur during production, warehousing, transportation and retailing. Emphasis is given to new technologies and intelligent systems that are able to process time-dependent information, handle emergencies, and support logistics operations in food management. In particular, the authors show how telematics and RFID can be implemented in the supply chain. The book also includes real-life case studies, in which actual food logistics problems and their solutions are presented, demonstrating how systemic and logistics approaches may be combined. The book is directed at academics, researchers, and students seeking the necessary background in terms of the interplay between the food supply chain and ICT. Its comprehensive review of current issues in the food supply chain will be of interest to managers and technicians working in the food industry, while its technological focus will be invaluable to food scientists and technologists working in research and industry environments.
Intelligent Algorithms for Analysis and Control of Dynamical Systems (Algorithms for Intelligent Systems)
by Rajesh Kumar V. P. Singh Akhilesh MathurThis book explores various intelligent algorithms including evolutionary algorithms, swarm intelligence-based algorithms for analysis and control of dynamical systems. Both single-input–single-output (SISO) and multi-input–multi-output (MIMO) systems are explored for analysis and control purposes. The applications of intelligent algorithm vary from approximation to optimal control design. The applications of intelligent algorithms not only improve understanding of a dynamical system but also enhance the control efficacy. The intelligent algorithms are now readily applied to all fields of control including linear control, nonlinear control, digital control, optimal control, etc. The book also discusses the main benefits attained due to the application of algorithms to analyze and control.
Intelligent Algorithms for Packing and Cutting Problem (Engineering Applications of Computational Methods #10)
by Yunqing Rao Qiang LuoThis book investigates in detail the two-dimensional packing and cutting problems in the field of operations research and management science. It introduces the mathematical models and intelligent solving algorithms for these problems, as well as their engineering applications. Most intelligent methods reported in this book have already been applied in reality, which can provide reference for the engineers. The presented novel methods for the two-dimensional packing problem provide a new way to solve the problem for researchers interested in operations research or computer science. This book also introduces three new variants of packing problems and their solving methods, which offer a different research direction. The book is intended for undergraduate and graduate students who are interested in the solving methods for packing and cutting problems, researchers investigating the application of intelligent algorithms, scientists studying the theory of the operations research and CAM software developers working on integration of packing and cutting problem.
Intelligent Algorithms in Software Engineering: Proceedings of the 9th Computer Science On-line Conference 2020, Volume 1 (Advances in Intelligent Systems and Computing #1224)
by Radek SilhavyThis book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020.Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.
Intelligent Analysis: Fractional Inequalities and Approximations Expanded (Studies in Computational Intelligence #886)
by George A. AnastassiouThis book focuses on computational and fractional analysis, two areas that are very important in their own right, and which are used in a broad variety of real-world applications. We start with the important Iyengar type inequalities and we continue with Choquet integral analytical inequalities, which are involved in major applications in economics. In turn, we address the local fractional derivatives of Riemann–Liouville type and related results including inequalities. We examine the case of low order Riemann–Liouville fractional derivatives and inequalities without initial conditions, together with related approximations. In the next section, we discuss quantitative complex approximation theory by operators and various important complex fractional inequalities. We also cover the conformable fractional approximation of Csiszar’s well-known f-divergence, and present conformable fractional self-adjoint operator inequalities. We continue by investigating new local fractional M-derivatives that share all the basic properties of ordinary derivatives. In closing, we discuss the new complex multivariate Taylor formula with integral remainder. Sharing results that can be applied in various areas of pure and applied mathematics, the book offers a valuable resource for researchers and graduate students, and can be used to support seminars in related fields.