This book presents research focused on the design of fractal antennas using bio-inspired computing techniques. The authors present designs for fractal antennas having desirable features like size reduction characteristics, enhanced gain, and improved bandwidths. The research is summarized in six chapters which highlight the important issues related to fractal antenna design and the mentioned computing techniques. Chapters demonstrate several applied concepts and techniques used in the process such as Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization (BFO). The work aims to provide cost-effective and efficient solutions to the demand for compact antennas due to the increasing demand for reduced sizes of components in modern wireless communication devices. A key feature of the book includes an extensive literature survey to understand the concept of fractal antennas, their features, and design approaches. Another key feature is the systematic approach to antenna design. The book explains how the IE3D software is used to simulate various fractal antennas, and how the results can be used to select a design. This is followed by ANN model development and testing for optimization, and an exploration of ANN ensemble models for the design of fractal antennas. The bio-inspired computing techniques based on GA, PSO, and BFO are developed to find the optimal design of the proposed fractal antennas for the desired applications. The performance comparison of the given computing techniques is also explained to demonstrate how to select the best algorithm for a given bio-inspired design. Finally, the book explains how to evaluate antenna designs. This book is a valuable resource for students (from UG to PG levels) and research scholars undertaking learning modules or projects on microstrip and patch antenna design in communications or electronics engineering courses.

Biosensing technology is rapidly flourishing in recent years due to the advancement of bio-MEMS/NEMS. However, the booming development of biosensors has not been very well addressed to the unmet clinical needs. Advances in Biosensing Technology for Medical Diagnosis initiates a headway into the realm of cutting-edge diagnostic tools which are expected to become routine clinical practice. This book aims to broaden the readers’ horizon and guide them in tailoring different biosensing techniques for specific diagnostic procedures. Key Features: - 12 chapters cover several aspects of biosensing technologies including working principles and clinical validations - highlights the state-of-the-art biosensing technology developed in all fields - provides information about specific applications of novel biosensors used in clinical diagnosis, - provides step-by-step guidance of microfabrication for biosensors - focuses on bridging the gap between the scientific and the clinical communities - provides information about the diagnostic applications of biosensors for different diseases (including infectious diseases and neurodegenerative diseases). - covers Information about unconventional nano/microfluidic biosensor systems - features contributions from renowned experts in the field of biomedical engineering Advances in Biosensing Technology for Medical Diagnosis serves as a reference for healthcare providers and biomedical engineers who are interesting in biosensing techniques in medicine. The information provided in this reference will also benefit healthcare policymakers who are interested in new technologies that can impact the delivery of diagnostic services in healthcare systems.

This textbook bridges the gap between introductory and advanced numerical methods for engineering students. The book initially introduces readers to numerical methods before progressing to linear and nonlinear equations. Next, the book covers the topics of interpolation, curve fitting and approximation, integration, differentiation and differential equations. The book concludes with a chapter on advanced mathematical analysis which explains methods for finite difference, method of moments and finite elements. The book introduces readers to key concepts in engineering such as error analysis, algorithms, applied mathematics with the goal of giving an understanding of how to solve engineering problems using computational methods. Each of the featured topics is explained with sufficient detail while retaining the usual introductory nuance. This blend of beginner-friendly and applied information, along with reference listings makes the textbook useful to students of undergraduate and introductory graduate courses in mathematics and engineering.

This Global Emerging Innovation Summit (GEIS 2021) book summarizes the proceedings of the international summit held on April 9th and 10th, 2021. The meeting was organized by Lovely Professional University (LPU) and supported by ENEA - the National Agency for New Technologies, Energy and Sustainable Economic Development. GEIS-2021 is the most comprehensive conference focused on the diverse facets of the innovations in different technical domains. The goal of this conference is to bring together researchers from academia and industry as well as practitioners in allied fields to share their ideas and solutions related to issues and challenges that rely on the use of technology. The conference highlights the multifaceted nature of innovation in engineering and natural sciences. Attendees are given an opportunity to exchange new ideas to establish research relations to find global partners for future collaboration. Authors from academics, government agencies and industries, contributed several papers which truly make the conference a diverse and unique platform in the region for a productive and interdisciplinary dialogue. This volume features 59 contributions which were selected after review by the editors. Chapters cover emerging developments in a broad range sectors including aviation, transportation, pharmaceutical chemistry, medicine, life sciences, space science, electronics, security, artificial intelligence, communications, energy and much more. This compilation is a handy resource for readers who are seeking updates in the latest trends and innovative developments in technology and engineering.

Graphene-Based Nanomaterial Catalysis compiles knowledge about catalytic graphene-based nanomaterials in a single easy-to-read volume. The text serves to familiarize scholars and professionals with the methods of fabrication of both functionalized and non-functionalized graphene nanomaterials suitable for use in a variety of applications such as electrochemical sensors, oxygen and hydrogen production, fuel cells and organic transformations. Key Features - systematic chapters which present the topic in an accessible way that is targeted towards learners - Accessible information about the fabrication of graphene-based catalysts - updated knowledge about catalytic applications of graphene-based nanomaterials in electro- and organic catalysis. - delivers information about recent trends in industry and research. - covers sophisticated green technologies such as carbon dioxide conversion and solar powered water splitting - references for further reading Interested students in material science at undergraduate, graduate and postgraduate levels in the disciplines of chemical engineering and materials science will highly benefit from the information in this reference. The reference also gives researchers in both industry and academia an opportunity to update their knowledge of graphene-based nanomaterials useful for catalysis.

This E-book covers various topics and technologies involving energy systems that represent an effort to reduce environmental pollution and provide grounds for alternative or renewable energy sources. The E-book is a convergence point for state-of-the-art research with preliminary but confirmed results. Topics covered in this e-book include transport, electricity generation, bio-fuels, Homogenous Charge Combustion Ignition research, kinetics, thermodynamics, combustion, (photovoltaic) solar energy, biomass, hydrogen combustion, hydrogen stocking, wind power, wind energy, hydro-electric power plants and fuel cells. The interdisciplinary content combines energy source engineering, fuel technology and environmental chemistry. This E-book serves as a basic source of information on alternative energy for scientists, academics and industrialis ts, by promoting and disseminating knowledge about green energy concerns.

Hydraulic Power Plants is a textbook for engineering students which explains the construction of hydraulic power plants. The book presents the theory of the working process for each part, i.e. the kinematics and molecular dynamics of liquids flowing through hydraulic machines and systems. The information is presented in a simple manner necessary for understanding their operational conditions and basic numerical relationships. The chapters explain concepts with several drawings and charts to aid the reader, along with relevant specifications, working examples and solved problems, which can be applied in designing practice and maintenance of hydroelectric power plants, pumping stations and pump installations. Hydraulic Power Plants emphasizes the need of young engineers to acquire knowledge about efficiency in using the tools for the study and design for components of hydraulic power plants such as turbines, pumps and penstocks in a straightforward format, making it an ideal reference for introductory hydraulics and mechanical engineering courses.

Embedded imaging devices such as digital still and video cameras, mobile phones, personal digital assistants, and visual sensors for surveillance and automotive applications make use of the single-sensor technology approach. An electronic sensor (Charge Coupled Device/Complementary Metal-Oxide-Semiconductor) is used to acquire the spatial variations in light intensity and then use image processing algorithms to reconstruct a color picture from the data provided by the sensor. This book is devoted to cover algorithms and methods for the processing of digital images acquired by single-sensor imaging devices. Typical imaging pipelines implemented in single-sensor cameras are usually designed to find a trade-off between sub-optimal solutions (devoted to solve imaging acquisition) and technological problems (e.g., color balancing, thermal noise, etc.) in the context of limited hardware resources. The various chapters of this book cover all aspects of algorithms and methods for the processing of digital images acquired by imaging consumer devices; this includes all processing stages. The e-book is intended as a detailed resource for visual and imaging systems engineers.

This book is a compilation of innovative work on image processing applications for renewable energy systems. The chapters in the book describe the use of neural networks in multi-direction dynamic, topographical data frameworks which are designed to account for the distinctive contemporary issues faced when managing environmentally friendly power generation systems. The topics covered include uncertainty analysis methods, computing technologies, automated control systems, performance analysis, riverfront analysis through image processing and solar power estimation methods, to name a few. The information is also complemented with a review of problems in the electric power sector in India. This book is beneficial for professionals and researchers who work on hybrid techniques of GIS, remote sensing, image processing and the implementation of these techniques for utilizing renewable energy resources. Engineers who work on advanced algorithms for renewable energy applications will also get an updated perspective about relevant innovations in this industrial sector.

Wind power capacity in the world has been increased by more than 30% over the last decade in countries which have prominent installations. Wind energy conversion systems (WECSs) based on the doubly-fed induction generator (DFIG) have dominated the wind power generation sector due to the outstanding advantages they provide, including small converter ratings (around 30% of the generator rating) and lower converter costs. <p></p> Due to the non-linearity of wind power systems, the DFIG power control setup presents a big challenge especially under conditions of high variance in wind-speed and parameter sensing. To overcome these major problems, an improved IDPC (Indirect Power Control) system based on PID (Proportional-Integral-Derivative) controller, has been proposed instead of the conventional power inverters. <p></p> This handbook covers information about IDPC based WECS. The book starts with a general introduction to wind power system basics. Subsequent chapters provide additional knowledge about robustness tests and adaptive / intelligent control systems employed in wind energy systems. The new concept of direct and quadrature current control (Ird & Irq) under MPPT (Maximum Power Point Tracking) strategy is also explained along with novel fuzzy logic type control systems. The authors have included detailed diagrams and an appendix of WECS parameters, making this handbook a useful primer for engineering students working towards completing licenses, Masters degrees and Post-graduation programs in advanced wind power energy systems.