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Advanced Wireless Communication and Sensor Networks: Applications and Simulations
by Ashish Bagwari Geetam Singh Tomar Jyotshana Bagwari Victória Barbosa, Jorge Luis Sastry, Musti K.S.This book covers wireless communication, security issues, advanced wireless sensor networks (WSNs), routing protocols of WSNs with cross-layer solutions, emerging trends in the advanced WSNs, power management, distributed sensing and data gathering techniques for WSNs, WSNs security, applications, research of advanced WSNs with simulation results, and simulation tools for WSNs. Features: Covers technologies supporting advanced wireless communication systems, sensor networks, and the conceptual development of the subject. Discusses advanced data gathering and sharing/ distributed sensing techniques with its business applicability. Includes numerous worked-out mathematical equations and formulas, as well as essential principles including figures, illustrations, algorithms, and flow charts. Provides pervasive background knowledge including both wireless communications and WSNs. Covers wireless networks as well as sensor network models in detail. This book is aimed at graduate students, researchers, and academics working in the field of computer science, wireless communication technology, and advanced WSNs.
Advanced Wireless Sensing Techniques for 5G Networks
by Ashish Bagwari, Geetam Singh Tomar and Jyotshana BagwariThis book written for students of electronics and communication, students of computer science and communications engineers addresses topics such as Introduction of CRN, Advanced spectrum sensing techniques, Cooperative sensing techniques, Distributed sensing techniques, Issues in advanced sensing techniques, and Applications of 5G Networks. It provides new algorithms, explores recent results, and evaluates the performance of technologies in use in this area. It also provides new research topics and sensing techniques related to 5G networks for researchers.
Advanced Wireless Technologies for Industrial Network Systems (Wireless Networks)
by Xuemin Sherman Shen Nan Cheng Xinping Guan Ling LyuThis book provides a comprehensive overview of wireless technologies for industrial network systems. The authors first describe the concept of industrial network systems and their application to industrial automation. They then go on to cover the role of sensing and control in industrial network systems, and the challenge of sensing and control in the industrial wireless environment. Then, the existing techniques for resource efficiency information transmission are introduced and studied. Afterward, the authors introduce sensing and control-oriented transmission for industrial network systems, which take advantage of spatial diversity gain to overcome the interference and fading, which in turn improves the transmission reliability without expending extra spectrum resources and enlarging the transmission delay. Subsequently, edge assisted efficient transmission schemes are introduced, which integrate the capacities of communication, computing, and control to relieve the contradiction of resource limitation and massive data. Finally, the authors discuss open research issues and future works about information transmission in industrial network systems.
Advanced and Intelligent Computations in Diagnosis and Control (Advances in Intelligent Systems and Computing #386)
by Zdzisław KowalczukThis book is devoted to the demands of research and industrial centers for diagnostics, monitoring and decision making systems that result from the increasing complexity of automation and systems, the need to ensure the highest level of reliability and safety, and continuing research and the development of innovative approaches to fault diagnosis. The contributions combine domains of engineering knowledge for diagnosis, including detection, isolation, localization, identification, reconfiguration and fault-tolerant control. The book is divided into six parts: (I) Fault Detection and Isolation; (II) Estimation and Identification; (III) Robust and Fault Tolerant Control; (IV) Industrial and Medical Diagnostics; (V) Artificial Intelligence; (VI) Expert and Computer Systems.
Advanced iOS 4 Programming
by Maher AliWith Advanced iOS 4 Programming, developers have the expert guidance they need to create amazing applications for Apple's iPhone, iPad, and iPod touch.Inside, veteran mobile developer Dr. Maher Ali begins with a foundation introduction to Objective C and Cocoa Touch programming, and then guides readers through building apps with Apple's iPhone SDK 4 - including coverage of the major categories of new APIs and building apps for the new Apple iPad.This book concentrates on illustrating GUI concepts programmatically, allowing readers to fully appreciate the complete picture of iOS 4 development without relying on Interface Builder. In addition, Interface Builder is covered in several chapters.Advanced iOS 4 Programming delves into more advanced topics going beyond the basics of iOS 4 development, providing comprehensive coverage that will help you get your apps to the App Store quicker.Key features include:Objective-C programming language and runtimeInterface BuilderBuilding advanced mobile user interfacesCollectionsCocoa TouchCore Animation and Quartz 2DModel-view-controller (MVC) designsDeveloping for the iPadGrand Central DispatchParsing XML documents using SAX, DOM, and TouchXMLWorking with the Map Kit APIRemote and Local Push NotificationBlocks (closures) in Objective-CBuilding advanced location-based applicationsDeveloping database applications using the SQLite engineGameKit framework
Advanced interactive interfaces with Access: Building Interactive Interfaces with VBA
by Alessandro GrimaldiExplore and learn advanced techniques for working with graphical, interactive interfaces that can be built in Access. This book starts with best practices and tips to write code using VBA, and covers how to implement them in a real-world scenario. You will learn how to create and use VBA classes. An introduction to the binary code and the "bit vector" technique is discussed, followed by the implementation of a drag-and-drop engine. You also will learn how to design a timeline, and make it scrollable. What You Will Learn Write readable, easy-to-maintain code Add a drag-and-drop engine to an Access application Apply variations to the drag-and-drop technique to create different graphical effects Embed a scrollable timeline in an Access application, on which objects can be dynamically placed Who This Book Is For VBA developers
Advancement in Computational Methods for Life Systems Modelling and Simulation: 8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Suzhou, China, September 13–15, 2024, Proceedings, Part I (Communications in Computer and Information Science #2216)
by Xin Li Jingjing Zhang Qun Niu Minrui Fei Hongjie WuThe five-volume set constitutes the thoroughly refereed proceedings of the 8th International Conference on Life System Modeling and Simulation, LSMS 2024, and of the 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, which were held during September 13-15, in Suzhou, China. The 35 papers presented were carefully reviewed and selected from over 496 submissions. The LSMS and ICSEE international conference series aim to bring together international researchers and practitioners in the fields of advanced methods for life system modeling and simulation, as well as advanced intelligent computing theory, methodologies, and engineering applications in achieving net zero across all sectors to tackle the global climate change challenge.
Advancement in Power Transformer Infrastructure and Digital Protection (Studies in Infrastructure and Control)
by Dharmesh Patel Nilesh Chothani Maulik RaichuraThis book provides an overview of a power transformer infrastructure and comprehensive digital protection of it. It presents various protective methodologies available to protect the transformer from disturbances by taking care of mal-operation due to external disturbances and providing fine protection to the transformer. Though there are many protection methodologies available in the practice. However, these existing methodologies may mal-operate during external disturbances such as inrush, over-fluxing and short circuits. Hence, further research is needed in addition to the existing methods of protection in terms of more fault prediction accuracy, speedy operation, and lower protection cost with zero error in the detection of faults. The book will be useful reference for practitioners from academia and industrial applications.
Advancement of Data Processing Methods for Artificial and Computing Intelligence (River Publishers Series in Computing and Information Science and Technology)
by Praveen Kumar V. Ajantha Devi Seema RawatThis book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today's fast-changing world, as well as to serve society through research, innovation, and development in this field. This book is applicable to a wide range of data that contribute to data science concerns and can be used to promote research in this high-potential new field. People's perceptions of the world and how they conduct their lives have changed dramatically as a result of technological advancements. The world has been gripped by technology, and the advances that are being made every day are undeniably transforming the planet. In the domains of Big Data, engineering, and data science, this cutting-edge technology is ready to support us.Artificial intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of big data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms. Furthermore, combining numerous AI technologies from other areas (such as vision, security, control, and biology) in order to build efficient and durable systems that interact in the real world is a new problem. Despite recent improvements in fundamental AI technologies, the integration of these skills into larger, trustworthy, transparent, and maintainable systems is still in its development. Both conceptually and practically, there are a number of unanswered issues.
Advancement of Deep Learning and its Applications in Object Detection and Recognition
by Ranjeet Kumar Rout Saiyed Umer Roohie Naaz Mir Vipul Kumar SharmaObject detection is a basic visual identification problem in computer vision that has been explored extensively over the years. Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies based on deep learning have been intensively investigated in recent years as a result of the remarkable success of deep learning-based image categorization. In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. The book describes every newly proposed novel solution but skips through the fundamentals so that readers can see the field's cutting edge more rapidly. Moreover, unlike prior object detection publications, this project analyses deep learning-based object identification methods systematically and exhaustively, and also gives the most recent detection solutions and a collection of noteworthy research trends. The book focuses primarily on step-by-step discussion, an extensive literature review, detailed analysis and discussion, and rigorous experimentation results. Furthermore, a practical approach is displayed and encouraged.
Advancement of GI-Science and Sustainable Agriculture: A Multi-dimensional Approach (GIScience and Geo-environmental Modelling)
by Jayanta Das Somenath HalderThis book describes the contributing aspects of contemporary developments related to sustainable agricultural resources and assessment of sustainable agriculture in developing nations. The issues like food crisis and declining agro-productivity, post-pandemic food security, zonation and mapping technique viewing food crisis, biotechnology and sustainable agricultural, scaling hunger indices, health hazard and food crisis, changing climate and food availability, consumer load and fertilizer usage, growing demand and increasing usage of harmful chemical in agro-fields are regarded as serious concerns. Thereafter, the scope of sustainable agricultural potentiality (SAP) modeling, amidst the arena of deforestation and encroachment of new cultivable land, impact of pandemic on sustainable agriculture, using wastewater as non-sustainable agricultural practice, applying geospatial techniques on extreme weather susceptibility and agro-production, soil erosion and poor agricultural production, questioning shifting cultivation on the issue of sustainability, meteorological drought and irrigational gaps, occupational mobility and loss of agricultural heritage, farm-excreta burning and air quality index (AQI), GI-Science and sustainable agro-management, community preparedness in food crisis management, multi-criteria hunger index (MCHI), climate change declining sustainable agro-production are worth some. Almost the entire world has recently suffered from several natural and human-induced problems, among which food crisis and unsustainable agriculture throw significant challenges to human society. Contrastingly, if modern technology and means, with advanced monitoring and calibration methodology and policy guidance, can help, it will undoubtedly reduce half of the world's problems and ensure the future survival of human society. In addition, this approach also can minimize the other partially linked problems, like climate change and food shortage, livelihood crisis, environmental refugees, international trade balance, global food supply chain interruption, the ever-expanding gap between rich and poor, and so on. Therefore, properly nurturing the knowledge on the application of GI-Science for an agriculturally sustainable society and their monitoring and management can curtail the gap between science, policy, and the ground-level scenario concerned.
Advancement of Intelligent Computational Methods and Technologies
by O. P. Verma Thinagaran Perumal Seema VermaThe compiled volume originates from the notable contributions presented at the 1st International Conference on Advancementof Intelligent Computational Methods and Technologies (AICMT2023), which took place in a hybrid format on June 27, 2023,at Delhi Technical Campus, Greater Noida, Uttar Pradesh, India. This comprehensive collection serves as an exploration intothe dynamic domain of intelligent computational methods and technologies, offering insights into the latest and upcoming trends in computation methods.AICMT2023’s scope encompasses the evolutionary trajectory of computational methods, addressing pertinent issues in real time implementation, delving into the emergence of new intelligent technologies, exploring next-generation problem-solving methodologies, and other interconnected areas. The conference is strategically designed to spotlight current research trendswithin the field, fostering a vibrant research culture and contributing to the collective knowledge base.
Advancement of Machine Intelligence in Interactive Medical Image Analysis (Algorithms for Intelligent Systems)
by Mamta Mittal Om Prakash Verma Sudipta Roy Subhash Chandra PandeyThe book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.
Advancement of Science and Technology: AI, Machine Learning, Electrical Engineering, and Computing Technologies (EAI/Springer Innovations in Communication and Computing)
by Mekuanint A. Bitew Abeba Birhane Fekadu Shewarega Mekonnen Wagaw Ahunim Abebe AsheteheThis proceeding presents the papers from the 11th International Conference on Advancement of Science and Technology (ICAST 2023), which took place in Bahir Dar, Ethiopia, in November 2023. The papers present economic and technologic developments in modern societies related to important issues such digitization, energy transformation, impact on national economy, and its recent advancements. The papers are relevant to researchers, academics, and professionals.
Advancement of Shock Capturing Computational Fluid Dynamics Methods: Numerical Flux Functions in Finite Volume Method
by Keiichi KitamuraThis book offers a compact primer on advanced numerical flux functions in computational fluid dynamics (CFD). It comprehensively introduces readers to methods used at the forefront of compressible flow simulation research. Further, it provides a comparative evaluation of the methods discussed, helping readers select the best numerical flux function for their specific needs.The first two chapters of the book reviews finite volume methods and numerical functions, before discussing issues commonly encountered in connection with each. The third and fourth chapter, respectively, address numerical flux functions for ideal gases and more complex fluid flow cases— multiphase flows, supercritical fluids and magnetohydrodynamics. In closing, the book highlights methods that provide high levels of accuracy.The concise content provides an overview of recent advances in CFD methods for shockwaves. Further, it presents the author’s insights into the advantages and disadvantages of each method, helping readers implement the numerical methods in their own research.
Advancements in AI and IoT for Chip Manufacturing and Defect Prevention (River Publishers Rapids Series on Intelligence in Chips)
by Rupal JainThis is essential reading for semiconductor professionals seeking to expand their knowledge on silicon processes, understand the significance of defect prevention, and explore methods for optimizing processes by reducing defects using AI and IoT technologies.In the dynamic landscape of semiconductor manufacturing, the focus on processes and defect prevention stands paramount. Traditional approaches have yielded valuable insights, yet the emergence of Artificial Intelligence (AI) and Internet of Things (IoT) technologies heralds a new era in defect prevention strategies. Engineers specializing in AI and machine learning, interdisciplinary researchers, and early graduates aspiring to enter the semiconductor industry will also find this book invaluable.Meticulously crafted, this book provides concise, yet insightful content tailored to today's fast-paced readers. It emphasizes semiconductors, manufacturing processes, and defect prevention, offering a comprehensive understanding of these critical areas. The integration of AI and IoT in chip manufacturing defect prevention represents a groundbreaking advancement.Targeting semiconductor engineers, researchers, technology professionals, and students, this book serves as a valuable resource for understanding the interplay between semiconductors, manufacturing processes, defects, and the transformative potential of AI and IoT integration. Practical tools for failure analysis and parameter control are provided, along with hypothetical use cases and theoretical applications that inspire innovation. Through interdisciplinary insights, this book charts a course toward a future where semiconductor manufacturing defects are minimized, productivity is maximized, and innovation thrives at the intersection of technology and industry.
Advancements in Cyber Crime Investigations and Modern Data Analytics
by Shishir Kumar Shandilya V. B. Gupta Devangana SujayThis book presents a fresh perspective on combating cyber crime, showcasing innovative solutions from experts across various fields. With the integration of artificial intelligence (AI), contemporary challenges are addressed with state-of-the-art strategies. The book discusses a wide range of timely issues within the domain of cyber crime and investigation, emphasizing AI-driven solutions and future multidisciplinary perspectives. As data becomes central to all digital interactions, it also becomes increasingly vulnerable, making it a prime target for adversaries. This comprehensive volume compiles technical approaches to counter, investigate, and manage these complex avenues of misconduct under the umbrella of "Cyber Crime".Key Topics: LLMs as a Solution for SARs Triaging Technical Capacities to Counter CSAM A Journey of Mobile Forensic Investigation Digital Forensics Solving Financial Crimes Deepfake-Driven Financial Crimes and Countermeasures This book offers a thorough examination of the current landscape of cyber crime, the capabilities available to combat it, and the advanced measures required to stay ahead. A detailed roadmap of digital forensics, the science of decrypting cyber crime, is a key highlight, alongside an exploration of the rising capabilities of AI. We extend our gratitude to all the contributors and hope this book answers many questions while igniting curiosity and providing a stimulating intellectual experience.
Advancements in Cybersecurity: Next-Generation Systems and Applications
by Agbotiname Lucky Imoize Oleksandr Kuznetsov Oleksandr Lemeshko Oleksandra YeremenkoThis book offers a comprehensive exploration of cutting-edge research and developments in the field of cybersecurity. It presents a curated collection of chapters that reflect the latest in empirical data approximation, malware recognition, information security technologies, and beyond.Advancements in Cybersecurity: Next-Generation Systems and Applications offers readers a broad perspective on the multifaceted challenges and solutions in contemporary cybersecurity through topics ranging from the application of blockchain technology in securing information systems, to the development of new cost functions for the iterative generation of cryptographic components. The book not only addresses technical aspects but also provides insights into the theoretical frameworks and practical applications that underpin the development of robust cybersecurity systems. It explores the optimization of algorithms for generating nonlinear substitutions, the application of machine learning models for security evaluation, and the implementation of deep learning techniques for detecting sophisticated cyber-attacks. Through its in-depth analysis and forward-looking perspectives, this book contributes significantly to advancing cybersecurity research and practice, paving the way for a safer digital future.This book is designed to serve as an essential resource for researchers, practitioners, policymakers, and engineers in the fields of ICT, next-generation computing and IT security, including cryptography, AI/ML/DL, cyber resilience, network security, threat modeling and risk assessment, digital forensics, secure software development, hardware security, and human-centric security.
Advancements in Interdisciplinary Research: First International Conference, AIR 2022, Prayagraj, India, May 6–7, 2022, Revised Selected Papers (Communications in Computer and Information Science #1738)
by Vijayan Sugumaran Divya Upadhyay Shanu SharmaThis volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues.
Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems (Studies in Computational Intelligence #1100)
by Witold Pedrycz Shyi-Ming ChenThe book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.
Advancements in Machine Learning and Natural Language Processing: 3rd International Conference on Language Processing and Knowledge Management (LPKM’2024) (Lecture Notes in Networks and Systems #1303)
by Khaled Shaalan Lamia Hadrich BelguithThis book discovers groundbreaking advancements in artificial intelligence with innovative solutions for real-world challenges. This book showcases state-of-the-art methodologies like deep learning and transfer learning to tackle sentiment analysis, fake news detection, and multi-dialectal named entity recognition, with a special focus on Arabic language technologies. Bridging the gap between research and practice, it highlights topics such as knowledge extraction, AI ethics, and the societal impacts of big data. Targeted at researchers, educators, and professionals, it serves as a vital guide for beginners and a comprehensive reference for experts seeking to stay ahead in the rapidly evolving field of AI.
Advancements in Mechatronics and Intelligent Robotics: Proceedings of ICMIR 2020 (Advances in Intelligent Systems and Computing #1220)
by John Wang Srikanta Patnaik Nilanjan Dey Zhengtao YuThis book gathers selected papers presented at the Fourth International Conference on Mechatronics and Intelligent Robotics (ICMIR 2020), held in Kunming, China, on May 22–24, 2020. The proceedings cover new findings in the following areas of research: mechatronics, intelligent mechatronics, robotics and biomimetics; novel and unconventional mechatronic systems; modeling and control of mechatronic systems; elements, structures and mechanisms of micro- and nano-systems; sensors, wireless sensor networks and multi-sensor data fusion; biomedical and rehabilitation engineering, prosthetics and artificial organs; artificial intelligence (AI), neural networks and fuzzy logic in mechatronics and robotics; industrial automation, process control and networked control systems; telerobotics and human–computer interaction; human–robot interaction; robotics and artificial intelligence; bio-inspired robotics; control algorithms and control systems; design theories and principles; evolutional robotics; field robotics; force sensors, accelerometers and other measuring devices; healthcare robotics; kinematics and dynamics analysis; manufacturing robotics; mathematical and computational methodologies in robotics; medical robotics; parallel robots and manipulators; robotic cognition and emotion; robotic perception and decisions; sensor integration, fusion and perception; and social robotics.
Advancements in Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3: Proceedings of the 2019 Annual Conference on Experimental and Applied Mechanics (Conference Proceedings of the Society for Experimental Mechanics Series)
by Cosme Furlong Cesar Sciammarella Michael Sutton Horacio D. Espinosa Luciano Lamberti Ming-Tzer Lin Phillip Reu Chi-Hung HwangAdvancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3 of the Proceedings of the 2019 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the third volume of six from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of optical methods ranging from traditional photoelasticity and interferometry to more recent DIC and DVC techniques, and includes papers in the following general technical research areas: DIC Methods & Its ApplicationsPhotoelsticity and Interferometry ApplicationsMicro-Optics and Microscopic SystemsMultiscale and New Developments in Optical MethodsDIC and its Applications for Inverse Problems
Advancements in Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges (Springer Tracts in Nature-Inspired Computing)
by Diego Rossit Carlos Enrique Torres-Aguilar Adrián Andrés ToncovichThis book brings together cutting-edge research, methodologies, and applications in the field of optimization and nature-inspired computing, providing a comprehensive overview of the latest advancements and their applications in addressing contemporary challenges in engineering. The book demonstrates diverse applications of mathematical modeling in various aspects of production, logistic, design, energy, materials, and other engineering areas. The book includes topics in optimization algorithms nature-inspired computing multi-objective optimization hybrid optimization techniques evolutionary algorithms swarm intelligence machine learning for optimization applications of optimization in engineering sustainable engineering solutions big data analytics for optimization metaheuristic approaches cloud computing in optimization cyber-physical systems decision support systems emerging trends in optimization.
Advancements in Science and Technology for Healthcare, Agriculture, and Environmental Sustainability: A Review of the Latest Research and Innovations
by Sai Kiran Oruganti Dimitrios A. Karras Srinesh ThakurThis book is the collection of selected articles that appeared at the First International Analytics Conference 2023 held in Hyderabad in virtual mode on February 2nd the 3rd 2023. This informative volume offers a window into recent breakthroughs shaping healthcare, agriculture, and environmental sustainability. It showcases the cutting-edge developments in these essential fields. Explore the progress in healthcare, from personalized medicine to telemedicine and innovative treatments, demonstrating how technology is enhancing patient care and transforming global health. Dive into the agricultural sector, where precision farming, genetic engineering, and sustainable practices are revolutionizing food production. Science and innovation play a key role in building a more resilient and food-secure future.