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The development and use of robotics is affecting all aspects of modern life. There is a demand not only for robots that can move, interact, learn, and act in real-time dynamic and unconstrained environments but also for those that can interact smoothly and safely with the actions and movements of people within the same environments. In addition to managing complex motor coordination, these robots also require the ability to acquire and represent knowledge, deal with uncertainty at different operational levels, learn, reason, adapt, and have the autonomy to make intelligent decisions and act upon them. They should be able to learn from interaction, anticipate the outcomes of actions, acquire experiences and use them as required for future activities. Cognitive robotics is the interdisciplinary term used to describe robots that merge all these features and capabilities in their hardware and software architectures.
Artificial intelligence --- Autonomous robots. --- Engineering applications.
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This book has included the following major sections: ""Introduction"", ""History of Biochar,"" ""Preparation of Biochar,"" and ""Applications of Biochar."" The editor and authors hope that the development of biochar can cross its application field from agriculture into engineering.
Biochar. --- Engineering applications. --- Biomass energy --- Charcoal --- Engineering --- Soil Science --- Physical Sciences --- Engineering and Technology --- Environmental Engineering
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This open access book offers comprehensive, self-contained knowledge on Digital Twin (DT), which is a very promising technology for achieving digital intelligence in the next-generation wireless communications and computing networks. DT is a key technology to connect physical systems and digital spaces in Metaverse. The objectives of this book are to provide the basic concepts of DT, to explore the promising applications of DT integrated with emerging technologies, and to give insights into the possible future directions of DT. For easy understanding, this book also presents several use cases for DT models and applications in different scenarios. The book starts with the basic concepts, models, and network architectures of DT. Then, we present the new opportunities when DT meets edge computing, Blockchain and Artificial Intelligence, and distributed machine learning (e.g., federated learning, multi-agent deep reinforcement learning). We also present a wide application of DT as an enabling technology for 6G networks, Aerial-Ground Networks, and Unmanned Aerial Vehicles (UAVs). The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of DT. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Engineering mathematics. --- Engineering --- Telecommunication. --- Wireless communication systems. --- Mobile communication systems. --- Computer networks. --- Artificial intelligence. --- Machine learning. --- Mathematical and Computational Engineering Applications. --- Communications Engineering, Networks. --- Wireless and Mobile Communication. --- Computer Communication Networks. --- Artificial Intelligence. --- Machine Learning. --- Data processing.
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ICICS-2020 is the third conference initiated by the School of Electronics and Electrical Engineering at Lovely Professional University that explored recent innovations of researchers working for the development of smart and green technologies in the fields of Energy, Electronics, Communications, Computers, and Control. ICICS provides innovators to identify new opportunities for the social and economic benefits of society. This conference bridges the gap between academics and R & D institutions, social visionaries, and experts from all strata of society to present their ongoing research activities and foster research relations between them. It provides opportunities for the exchange of new ideas, applications, and experiences in the field of smart technologies and finding global partners for future collaboration. The ICICS-2020 was conducted in two broad categories, Intelligent Circuits & Intelligent Systems and Emerging Technologies in Electrical Engineering.
Artificial intelligence. --- Integrated circuits. --- Chips (Electronics) --- Circuits, Integrated --- Computer chips --- Microchips --- Electronic circuits --- Microelectronics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial intelligence --- Engineering applications. --- Engineering --- Data processing
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This is an open access book. The book starts with an introductory IoT overview related to its selected scope of applications. There is no doubt that digitalization solutions from Industry 4.0 and the Internet of Things (IoT) can be perceived as excellent candidate strategies capable of handling the above-stated issues concerning measurements and transparency. However, IoT tools themselves can provide appropriate data only, while their efficient integration and application are possible using a dedicated onboarding platform only. To settle this issue, the book undertakes the problem of modern IoT onboarding platforms for the advanced applications pertaining to manufacturing and logistics. In particular, instead of deliberating about a possible hypothetic platforms, an existing and efficient one is employed, which is called KIS.ME. KIS.ME (Keep It Simple. Manage Everything) is a complete IoT solution for a simple integration in manufacturing and logistics. It is composed of a set of hardware devices (KIS.BOX, KIS.IO and KIS.LIGHT), which are intuitively integrated with the cloud platform called KIS.MANAGER. Moreover, the entire platform is an open one, and hence, it enables communication with external services using KIS.API architecture. The application range of KIS.ME is extensive. This is due to the intuitive implementation and visualization of a user-defined key performance indicators (KPIs), which constitute effective optimization measures. Thus, the potential areas of application of KIS.ME are, e.g., manufacturing, warehouse management and logistics. Indeed, triggering and/or ordering various tasks can be immediately and efficiently implemented with KIS.ME. Such an approach translates directly to the savings of the time and energy. Subsequently, a gradual introduction to KIS.ME platform is presented, which constitutes the base for further advanced applications including logistics, control and maintenance of various processes. Finally, the potential of KIS.API communication framework is utilized for an efficient communication with external services.
Computational intelligence. --- Engineering mathematics. --- Engineering—Data processing. --- Dynamics. --- Nonlinear theories. --- Computational Intelligence. --- Mathematical and Computational Engineering Applications. --- Applied Dynamical Systems. --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Engineering --- Engineering analysis --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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Today, mainly man-made materials, such as carbon and glass fibers, are used to produce composite parts in aviation. Renewable materials, such as natural fibers or bio-sourced resin systems, have not yet found their way into aviation. The project ECO-COMPASS aims to evaluate the potential applications of ecologically improved composite materials in the aviation sector in an international collaboration of Chinese and European partners. Natural fibers such as flax and ramie will be used for different types of reinforcements and sandwich cores. Furthermore, bio-based epoxy resins to substitute bisphenol-A based epoxy resins in secondary structures are under investigation. Adapted material protection technologies to reduce environmental influence and to improve fire resistance are needed to fulfil the demanding safety requirements in aviation. Modelling and simulation of chosen eco-composites aims for an optimized use of materials while a Life Cycle Assessment aims to prove the ecological advantages compared to synthetic state-of-the-art materials. This Special Issue provides selected papers from the project consortium partners.
physical properties --- n/a --- plant fiber --- fracture toughness --- eco-composite --- functional composites --- flax fibre --- balsa --- bio-composites --- hybrid composite --- interface --- itaconic acid --- sandwich structures --- nonwoven --- flax --- engineering applications --- paper --- carbon nanotubes --- composite --- recycled carbon fibre --- poly-lactic acid --- rosin acid --- aviation sector --- crack sensing --- bio-sourced epoxy --- life cycle assessment --- natural fibre --- electrical properties --- glass fibre --- polymer nanocomposites --- environmental impacts --- multi-scale modeling --- function integrated interleave --- ramie fiber --- bio-based epoxy --- hybrid --- fabric --- sound absorption --- microstructures --- thermosetting resin --- wet-laying --- electrical conductivity --- green composite
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This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at mary.james@springer.com. This is an open access book.
Maths for computer scientists --- Communications engineering / telecommunications --- Maths for engineers --- Probability & statistics --- Probability and Statistics in Computer Science --- Communications Engineering, Networks --- Mathematical and Computational Engineering --- Probability Theory and Stochastic Processes --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences --- Mathematical and Computational Engineering Applications --- Probability Theory --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences --- Applied probability --- Hypothesis testing --- Detection theory --- Expectation maximization --- Stochastic dynamic programming --- Machine learning --- Stochastic gradient descent --- Deep neural networks --- Matrix completion --- Linear and polynomial regression --- Open Access --- Mathematical & statistical software --- Stochastics
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This Open-Access-book addresses the issue of translating mathematical expressions from LaTeX to the syntax of Computer Algebra Systems (CAS). Over the past decades, especially in the domain of Sciences, Technology, Engineering, and Mathematics (STEM), LaTeX has become the de-facto standard to typeset mathematical formulae in publications. Since scientists are generally required to publish their work, LaTeX has become an integral part of today's publishing workflow. On the other hand, modern research increasingly relies on CAS to simplify, manipulate, compute, and visualize mathematics. However, existing LaTeX import functions in CAS are limited to simple arithmetic expressions and are, therefore, insufficient for most use cases. Consequently, the workflow of experimenting and publishing in the Sciences often includes time-consuming and error-prone manual conversions between presentational LaTeX and computational CAS formats. To address the lack of a reliable and comprehensive translation tool between LaTeX and CAS, this thesis makes the following three contributions. First, it provides an approach to semantically enhance LaTeX expressions with sufficient semantic information for translations into CAS syntaxes. Second, it demonstrates the first context-aware LaTeX to CAS translation framework LaCASt. Third, the thesis provides a novel approach to evaluate the performance for LaTeX to CAS translations on large-scaled datasets with an automatic verification of equations in digital mathematical libraries. About the Author Dr. André Greiner-Petter is a postdoctoral researcher at the NII.
Maths for engineers --- Artificial intelligence --- Algebra --- LaTeX --- Computer Algebra Systems --- Presentational Mathematics --- Presentation to Computation Translations --- Computable Mathematics --- Mathematical Information Retrieval --- Engineering mathematics. --- Engineering—Data processing. --- Computational intelligence. --- Algebra. --- Artificial intelligence. --- Mathematical and Computational Engineering Applications. --- Computational Intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Mathematics --- Mathematical analysis --- Intelligence, Computational --- Soft computing --- Engineering --- Engineering analysis
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This open access book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), which was held on September 25-27, 2019 in Fukuoka, Japan. The international symposium MQC addresses the mathematics and quantum theory underlying secure modeling of the post quantum cryptography including e.g. mathematical study of the light-matter interaction models as well as quantum computing. The security of the most widely used RSA cryptosystem is based on the difficulty of factoring large integers. However, in 1994 Shor proposed a quantum polynomial time algorithm for factoring integers, and the RSA cryptosystem is no longer secure in the quantum computing model. This vulnerability has prompted research into post-quantum cryptography using alternative mathematical problems that are secure in the era of quantum computers. In this regard, the National Institute of Standards and Technology (NIST) began to standardize post-quantum cryptography in 2016. This book is suitable for postgraduate students in mathematics and computer science, as well as for experts in industry working on post-quantum cryptography.
Applied mathematics. --- Engineering mathematics. --- Data structures (Computer science). --- Quantum computers. --- Computer security. --- Mathematical and Computational Engineering. --- Data Structures and Information Theory. --- Quantum Computing. --- Systems and Data Security. --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Engineering --- Engineering analysis --- Mathematical analysis --- Protection --- Security measures --- Mathematics --- Mathematical and Computational Engineering --- Data Structures and Information Theory --- Quantum Computing --- Systems and Data Security --- Mathematical and Computational Engineering Applications --- Data and Information Security --- Cryptography for Quantum Computers --- Post-quantum Cryptography --- Number Theory --- Representation Theory --- Quantum Physics --- Security Modelling --- Open Access --- Maths for engineers --- Algorithms & data structures --- Information theory --- Mathematical theory of computation --- Computer security --- Network security --- Data structures (Computer science)
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Hydrogels are a class of soft materials with crosslinked network structures. They show good biocompatibility, biodegradability, hydrophilicity, and mechanical properties similar to those of tissue, so they have a wide range of applications. In recent years, a variety of multifunctional hydrogels with excellent performance have been developed, greatly expanding the depth and breadth of their applications. This book is the reprint of the Special Issue “Advances in Hydrogels”, which focused on the recent advances regarding hydrogels, aiming to provide reference for researchers in related fields. This book included one editorial, thirteen original research articles, and three valuable reviews from thirteen different countries including Canada, China, Thailand, Mexico, India, Saudi Arabia, Chile, Germany, the Czech Republic, Colombia, Romania, Israel, and the USA.
Research & information: general --- Physics --- molecularly imprinted polymeric hydrogels --- synthetic receptors --- zearalenone --- glucuronic acid --- fluorescent sensors --- PEG-PLA --- thermoresponsive hydrogel --- redox-sensitive --- hydrogel --- superabsorbent --- e-beam --- swelling --- crosslinking --- carboxymethyl cellulose --- drying --- RW --- CHD --- radiation penetration depth --- lecithin --- rheology --- scanning electron microscopy --- drying and swelling --- extracellular matrix --- mesh size --- hydrogels --- photopolymers --- volume holography --- photo curing --- multifunctional biomedical biomaterials --- light-responsive materials --- novel formulations --- natural polymer --- synthetic polymer --- topical application --- cryoconcentrated blueberry juice --- stability --- storage --- bioactive compounds content --- antioxidant activity --- water gel --- photocrosslinking --- natural polymer modification --- biomedical-engineering applications --- vitamin D --- nanoemulsion --- gelled matrices --- texture analysis --- gelatin --- sensory evaluation --- gummy --- thermosensitive --- P(OEGMA-co-MEO2MA) --- microgel --- scaffold --- 3D culture --- commercial copper sulfide (CuS) --- alginate --- photothermal therapy (PTT) --- near-infrared II windows --- cancer --- glioblastoma --- mechanobiology --- mechanoreceptor --- mechanotransduction --- quercetin --- cyclodextrin --- polyvinyl alcohol --- inclusion complex --- photo-polymerization --- potassium acrylate-co-acrylamide --- swelling capacity --- multistructured --- adhesive strength --- hydrogen bonding --- n/a
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