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Yaw Sensor MR587733 - Precise Angular Measurement for Robotics, UAVs, and Automobiles
Yaw Sensor MR587733 - Precise Angular Measurement for Robotics, UAVs, and Automobiles
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Natural Language Understanding and Cognitive Robotics
In the not so distant future, we can expect a world where humans and robots coexist and interact with each other.For this to occur, we need to understand human traits, such as seeing, hearing, thinking, speaking, etc., and institute these traits in robots.The most essential feature necessary for robots to achieve is that of integrative multimedia understanding (IMU) which occurs naturally in humans.It allows us to assimilate pieces of information expressed through different modes such as speech, pictures, gestures, etc.The book describes how robots acquire traits like natural language understanding (NLU) as the central part of IMU.Mental image directed semantic theory (MIDST) is its core, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely, mental-image based understanding (MBU).MIDST is intended to model omnisensory mental image in human and to afford a knowledge representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities such as humans and robots based on a mental image model visualized as ‘Loci in Attribute Spaces’ and its description language Lmd (mental image description language) to be employed for predicate logic with a systematic scheme for symbol-grounding.This language works as an interlingua among various kinds of information media, and has been applied to several versions of the intelligent system interlingual understanding model aiming at general system (IMAGES).Its latest version, i.e. conversation management system (CMS) simulates MBU and comprehends the user’s intention through dialogue to find and solve problems, and finally, provides a response in text or animation. The book is aimed at researchers and students interested in artificial intelligence, robotics, and cognitive science.Based on philosophical considerations, the methodology will also have an appeal in linguistics, psychology, ontology, geography, and cartography. Key Features: Describes the methodology to provide robots with human-like capability of natural language understanding (NLU) as the central part of IMUUses methodology that also relates to linguistics, psychology, ontology, geography, and cartographyExamines current trends in machine translation
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Industrial Automation and Robotics : Techniques and Applications
This book discusses the radical technological changes occurring due to Industry 4.0, with a focus on offering a better understanding of the Fourth Industrial Revolution.It also presents a detailed analysis of interdisciplinary knowledge, numerical modeling and simulation, and the application of cyber–physical systems, where information technology and physical devices create synergic systems leading to unprecedented efficiency.The book focuses on industrial applications of automation and robotics.It covers recent developments and trends occurring in both computer-aided manufacturing techniques, as well as computer-aided assembly techniques.Robots using embedded systems and artificial intelligence applications are also covered.Industrial Automation and Robotics: Techniques and Applications offers theoretical results, practical solutions, and guidelines that are valuable for both researchers and those working in the area of engineering.
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Food Engineering Automation with Robotics and AI
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What is Natural Science and Technology (NWT)?
Natural Science and Technology (NWT) is an interdisciplinary subject that combines elements of natural sciences, technology, and engineering. It focuses on understanding the natural world, how technology impacts our lives, and how we can use scientific knowledge to solve real-world problems. NWT encourages students to explore the connections between science and technology and how they influence each other in our daily lives. Through hands-on experiments, research projects, and critical thinking activities, students develop a deeper understanding of the world around them and the role of science and technology in shaping our future.
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How are natural science and technology related?
Natural science and technology are closely related as they both involve the study and understanding of the natural world. Natural science seeks to understand the fundamental principles and laws that govern the natural world, while technology applies this understanding to create practical solutions to real-world problems. Technology often builds upon the knowledge gained from natural science to develop new tools, materials, and processes that improve our lives and our understanding of the natural world. In this way, natural science and technology work hand in hand to advance our understanding and utilization of the natural world.
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Can one fail in natural sciences and technology?
Yes, it is possible to fail in natural sciences and technology. Just like any other subject, success in these fields requires dedication, hard work, and a solid understanding of the material. Failing in natural sciences and technology could be due to a lack of understanding of complex concepts, insufficient study habits, or a lack of interest in the subject matter. However, failure does not necessarily mean that a person cannot succeed in these fields in the future with the right support and effort.
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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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Robotics and Automation in Healthcare : Advanced Applications
The recent pandemic has forced researchers to adapt technologies such as robotics and AI in the healthcare field.This book, Robotics and Automation in Healthcare: Advanced Applications, explores these new technologies by focusing on important issues related to the employment of robotics and automation in healthcare, such as in medical diagnosis, treatment, and surgery. The volume reviews wireless charging of implantable pacemakers, considers smart bot design for library building of medical colleges, and discusses strain distribution in biomechanical systems.Other topics included in the book are medical imaging, drone technology, 3D printing, and image processing techniques.The application and importance of actuators in medical devices, especially during surgery, is discussed, as are wearable devices for pre-identification of seizure development.The volume also looks at a decision support system for detection of suitable robots and early detection of diseases with the support of image processing techniques.The application of nano-robots in healthcare is also explored. Providing advanced information and insight into robotics, wearable devices, and applications of image processing in healthcare field, this volume will be helpful to those in communications and electronics engineering as well as those at the forefront of smart technology in healthcare.
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Robots, Automation and the Innovation Economy
Cascades of new technologies and innovations are entering our lives so fast that it is difficult for us to adapt to one innovation before the next becomes embedded into our everyday lives.What happens when the changes brought by technology are so profound that they affect all aspects of our lives?This book explores the potential impact of artificial intelligence (AI) and intelligent robots on individuals, organizations and society, specifically examining the impact on jobs and workplaces in the future.It provides an understanding of how we can adapt to changes that appear like flocks of black swans. Five key areas are unpacked in the book: automation, AI, (the significance of AI technology), innovation, competence transformation, and the fact that the pace of change is so rapid that it outstrips our ability to adapt to consecutive changes.The main objective is to show how AI will change society and how we as individuals and society must adapt in order to survive what the author terms ‘robot shock’, together with its consequences and after-effects.It offers a greater understanding of resistance to change and how we need to adopt strategies for adapting to major changes.Each of the book’s six chapters also contains policy inputs, framed as propositions, that are intended specifically for decision-makers.The book concludes by offering possible strategies for overcoming the negative effects of ‘robot shock’. The book intends to send a message to leaders of institutions, decision-makers and anyone attempting to understand and explain how we – as a social system – can succeed in tackling the many major challenges and crises faced by humanity.
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Technology Innovation in Manufacturing
This text identifies and discusses different technology innovation initiatives (TIIs) such as entrepreneurial capability, technology infrastructure capability, organizational culture and climate, and government initiatives.It further evaluates the relationship between various technology innovation initiatives and manufacturing performances using multi-criteria decision-making techniques such as fuzzy set theory (FST), structural equation modeling (SEM), and analytic hierarchy process (AHP).It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering, manufacturing engineering, mechanical engineering, automotive engineering. This book:• Discusses technology innovation initiatives such as entrepreneurial capability, technology infrastructure capability, and organizational culture. • Highlights technology innovation-strategy model in assisting manufacturing industries for enhancing their performance in today’s competitive environment. • Examines the effect of technology innovation initiatives on the performance of manufacturing industries. • Covers multi-criteria decision-making techniques such as fuzzy set theory, structural equation modeling, and analytic hierarchy process. • Explores the validation of fuzzy-based technology innovation model through structural equation modeling.
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Technology and Innovation Management
Technology and Innovation Management is one of the most sought-after courses offered like MBA or PGDM in Business Schools and various Technology Institutes, today.This book, written with deep ingrained practical insights and well-researched theoretical foundations integrates people, processes and technology to achieve maximum economic benefits to society.The book is designed to be a compendium for students and managers, who wish to understand technology and innovation management to the core.The book explains the relationship between technology innovation and strategy in a simplified manner.Keeping Indian education framework in mind, this book details on practices and principles that are easy to implement.The theories are simple to grasp, and anecdotal stories on Technology and Innovation implementations make it a student-friendly edition, to help achieve success in exams as well as in the professional front.It further explains the core principles of Technology and Innovation Management.S-Curve and the Segment Zero Principle, adopting industry 4.0 and innovation 4.0 to make India a smart and intelligent manufacturing hub in the era of fourth industrial revolution, design thinking for solving complex business problems along with the role and contribution of Government in Technology Development.
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Is Germany too focused on technology and natural sciences?
While Germany has a strong emphasis on technology and natural sciences, it also values other fields such as arts, humanities, and social sciences. The country's education system and job market do prioritize STEM fields, but there are still opportunities for individuals in other disciplines. Germany's focus on technology and natural sciences has contributed to its economic success, but it is important to maintain a balance and support a diverse range of disciplines for a well-rounded society.
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What is the relationship between natural sciences and technology?
The natural sciences and technology are closely related fields that often work hand in hand. Natural sciences, such as biology, chemistry, and physics, provide the foundational knowledge and understanding of the natural world, which is then applied in the development of technology. Technology, on the other hand, utilizes the principles and discoveries of natural sciences to create new tools, products, and processes that improve our lives and advance our understanding of the world. In this way, natural sciences provide the knowledge base for technology, while technology applies that knowledge to create practical solutions and innovations.
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How is natural gas often portrayed as a bridging technology?
Natural gas is often portrayed as a bridging technology because it is considered a cleaner alternative to coal and oil. It produces fewer greenhouse gas emissions when burned, making it a transitional fuel as the world moves towards more sustainable energy sources. Additionally, natural gas power plants can be built relatively quickly and are more flexible than other forms of power generation, making them a practical option to meet energy demands while renewable energy infrastructure is being developed. However, it is important to note that natural gas is still a fossil fuel and its extraction and transportation can result in methane leaks, which is a potent greenhouse gas.
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What is the connection between the natural sciences and technology?
The natural sciences and technology are closely interconnected as they both involve the study and understanding of the natural world. The natural sciences provide the foundational knowledge and principles that drive technological advancements. Technology, on the other hand, applies scientific knowledge to create tools, machines, and systems that improve our lives and solve complex problems. The relationship between the two fields is symbiotic, with advancements in one often leading to progress in the other.
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