Bio Inspired Data Driven Distributed Energy In Robotics And Enabling Technologies
DOWNLOAD
Download Bio Inspired Data Driven Distributed Energy In Robotics And Enabling Technologies PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Bio Inspired Data Driven Distributed Energy In Robotics And Enabling Technologies book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Bio Inspired Data Driven Distributed Energy In Robotics And Enabling Technologies
DOWNLOAD
Author : Abhishek Kumar
language : en
Publisher: CRC Press
Release Date : 2024-12-10
Bio Inspired Data Driven Distributed Energy In Robotics And Enabling Technologies written by Abhishek Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.
This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book: Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem. The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering.
Reshaping Humanitarian Logistics With Ai Predictive Analytics And Autonomous Systems
DOWNLOAD
Author : Akkartal, Erkut
language : en
Publisher: IGI Global
Release Date : 2025-08-12
Reshaping Humanitarian Logistics With Ai Predictive Analytics And Autonomous Systems written by Akkartal, Erkut and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Social Science categories.
Humanitarian logistics is undergoing a transformation through the integration of AI and autonomous systems. These advanced technologies are enhancing the efficiency of disaster response and relief operations by enabling data driven decisions. From forecasting demand surges to deploying unmanned vehicles for last-mile delivery, the synergy of AI and automation is reshaping the landscape of humanitarian aid. Humanitarian logistics is revolutionizing, offering new possibilities for timely, coordinated, and life-saving interventions. Reshaping Humanitarian Logistics With AI, Predictive Analytics, and Autonomous Systems explores the transformative role of AI, predictive analytics, and autonomous systems in humanitarian logistics. This book highlights the successes and challenges of implementing intelligent systems in humanitarian logistics. Covering topics such as aid distribution, human-machine collaboration, and unmanned aerial vehicles, this book is an excellent resource for humanitarian organizers, policymakers, logistics professionals, researchers, academicians, and more.
Bio Inspired Computing
DOWNLOAD
Author : Dalia Kriksciuniene
language : en
Publisher: Springer Nature
Release Date : 2025-06-20
Bio Inspired Computing written by Dalia Kriksciuniene and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
This book presents 53 selected papers focused on Smart Health Care from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 13th World Congress on Information and Communication Technologies (WICT 2023), which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (IBICA-WICT 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of bio-inspired computing and ICT systems. IBICA-WICT 2023 had contributions by authors from 36 countries. This book offers a valuable reference guide for all medical doctors, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and smart health care.
Technological Advancements For Deep Sea Ecosystem Conservation And Exploration
DOWNLOAD
Author : Vignesh, U.
language : en
Publisher: IGI Global
Release Date : 2024-12-02
Technological Advancements For Deep Sea Ecosystem Conservation And Exploration written by Vignesh, U. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Science categories.
The deep sea, a vast and largely unexplored frontier, harbors intricate ecosystems that play a critical role in maintaining the health of our planet. However, deep sea mining and climate change pose significant threats to these fragile ecosystems. Through interdisciplinary research and advocacy, scientists and environmentalists are working to better understand the complexities of these ecosystems and the impacts of human activities. By raising awareness and influencing decision-makers, this work is essential in ensuring the protection of the deep sea and its vital role in regulating global climate and supporting marine life. Technological Advancements for Deep Sea Ecosystem Conservation and Exploration delves into the intricacies of significance of deep-sea ecosystems, employing interdisciplinary approaches to unveil their mysteries. By integrating insights from biology, ecology, oceanography, and technology, this book comprehensively investigates the dynamics and global importance of deep-sea ecosystems. Covering topics such as artificial intelligence (AI), deep sea mining, and waste classification, this book is an excellent resource for marine biologists, environmental scientists, policymakers, conservation organizations, environmental advocacy groups, academicians, and more.
Advances In Mechatronics And Biomechanics Towards Efficient Robot Actuation
DOWNLOAD
Author : Jörn Malzahn
language : en
Publisher: Frontiers Media SA
Release Date : 2019-06-28
Advances In Mechatronics And Biomechanics Towards Efficient Robot Actuation written by Jörn Malzahn and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with categories.
Recent Trends In Computational Intelligence Enabled Research
DOWNLOAD
Author : Siddhartha Bhattacharyya
language : en
Publisher: Academic Press
Release Date : 2021-07-31
Recent Trends In Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-31 with Computers categories.
The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. - Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques - Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence - Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques
Rising Stars In Human Robot Interaction
DOWNLOAD
Author : Bilge Mutlu
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-11
Rising Stars In Human Robot Interaction written by Bilge Mutlu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-11 with Technology & Engineering categories.
Sensors In Water Pollutants Monitoring Role Of Material
DOWNLOAD
Author : D. Pooja
language : en
Publisher: Springer Nature
Release Date : 2019-10-24
Sensors In Water Pollutants Monitoring Role Of Material written by D. Pooja and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Technology & Engineering categories.
This book discusses the sensitivity, selectivity, and response times of different sensor materials and their potential application in the design of portable sensor systems for monitoring water pollutants and remediation systems. Beginning with an overview on water pollutants and analytical methods for their detection, the book then moves on to describing the advances in sensor materials research, and the scope for their use in different types of sensors. The book lays emphasis on techniques such as colorimetric, fluorescence, electrochemical, and biological sensing of conventional and emerging pollutants. This book will serve as a handy guide for students, researchers, and professional engineers working in the field of sensor systems for monitoring water pollutants to address various challenges.
Popular Science
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2004-09
Popular Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09 with categories.
Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.
Sun Tracking And Solar Renewable Energy Harvesting
DOWNLOAD
Author : Gerro Prinsloo
language : en
Publisher: Gerro Prinsloo
Release Date : 2015-11-02
Sun Tracking And Solar Renewable Energy Harvesting written by Gerro Prinsloo and has been published by Gerro Prinsloo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-02 with Computers categories.
Free to download eBook on Practical Solar Tracking Design, Solar Tracking, Sun Tracking, Sun Tracker, Solar Tracker, Follow Sun, Sun Position calculation (Azimuth, Elevation, Zenith), Sun following, Sunrise, Sunset, Moon-phase, Moonrise, Moonset calculators. In harnessing power from the sun through a solar tracker or solar tracking system, renewable energy system developers require automatic solar tracking software and solar position algorithms. On-axis sun tracking system such as the altitude-azimuth dual axis or multi-axis solar tracker systems use a sun tracking algorithm or ray tracing sensors or software to ensure the sun's passage through the sky is traced with high precision in automated solar tracker applications, right through summer solstice, solar equinox and winter solstice. Eco Friendly and Environmentally Sustainable Micro Combined Solar Heat and Power (m-CHP, m-CCHP, m-CHCP) with Microgrid Storage and Layered Smartgrid Control towards Supplying Off-Grid Rural Villages in developing BRICS countries such as Africa, India, China and Brazil. Off-grid rural villages and isolated islands areas require mCHP and trigeneration solar power plants and associated isolated smart microgrid solutions to serve the community energy needs. This article describes the development progress for such a system, also referred to as solar polygeneration. The system includes a sun tracker mechanism wherin a parabolic dish or lenses are guided by a light sensitive mechanique in a way that the solar receiver is always at right angle to the solar radiation. Solar thermal energy is then either converted into electrical energy through a free piston Stirling, or stored in a thermal storage container. The project includes the thermodynamic modeling of the plant in Matlab Simulink as well as the development of an intelligent control approach that includes smart microgrid distribution and optimization. The book includes aspects in the simulation and optimization of stand-alone hybrid renewable energy systems and co-generation in isolated or islanded microgrids. It focusses on the stepwise development of a hybrid solar driven micro combined cooling heating and power (mCCHP) compact trigeneration polygeneration and thermal energy storage (TES) system with intelligent weather prediction, weak-ahead scheduling (time horizon), and look-ahead dispatch on integrated smart microgrid distribution principles. The solar harvesting and solar thermodynamic system includes an automatic sun tracking platform based on a PLC controlled mechatronic sun tracking system that follows the sun progressing across the sky. An intelligent energy management and adaptive learning control optimization approach is proposed for autonomous off-grid remote power applications, both for thermodynamic optimization and smart micro-grid optimization for distributed energy resources (DER). The correct resolution of this load-following multi objective optimization problem is a complex task because of the high number and multi-dimensional variables, the cross-correlation and interdependency between the energy streams as well as the non-linearity in the performance of some of the system components. Exergy-based control approaches for smartgrid topologies are considered in terms of the intelligence behind the safe and reliable operation of a microgrid in an automated system that can manage energy flow in electrical as well as thermal energy systems. The standalone micro-grid solution would be suitable for a rural village, intelligent building, district energy system, campus power, shopping mall centre, isolated network, eco estate or remote island application setting where self-generation and decentralized energy system concepts play a role. Discrete digital simulation models for the thermodynamic and active demand side management systems with digital smartgrid control unit to optimize the system energy management is currently under development. Parametric simulation models for this trigeneration system (polygeneration, poligeneration, quadgeneration) are developed on the Matlab Simulink and TrnSys platforms. In terms of model predictive coding strategies, the automation controller will perform multi-objective cost optimization for energy management on a microgrid level by managing the generation and storage of electrical, heat and cooling energies in layers. Each layer has its own set of smart microgrid priorities associated with user demand side cycle predictions. Mixed Integer Linear Programming and Neural network algorithms are being modeled to perform Multi Objective Control optimization as potential optimization and adaptive learning techniques.