Microelectromechanical systems (MEMS) device applications are common in many areas. Micromirror arrays are used as video projectors; microsensors find their application for measuring acceleration, temperature, and pressure; and they can also be used in the medical field for measuring blood pressure. Microfluidics have also been widely employed in life sciences applications, such as drug development and administration, point-of-care devices, and more. To use these technologies to their fullest extent, further research is needed. Advances in MEMS and Microfluidic Systems explores the emerging research and advances in MEMS devices and microfluidic systems applications. It features in-depth chapters on microfluidic device design and fabrication as well as on the aspects of devices/systems, characterization, and comparative research findings. Covering topics such as biosensors, lab-on-a-chip, and microfluidic technology, this premier reference source is an indispensable resource for engineers, health professionals, students and educators of higher education, librarians, researchers, and academicians.

This book gives a complete overview of current developments in nanotechnology-based environmental remediation and sustainable agriculture practices/sectors. It will provide the use of nanotechnology in the agricultural sector such as crop production and improvement, soil fertility management along with benefits and risks of nanotechnology on ecological farming. Additionally, the book also discovers how nanotechnology is used in water, air remediation techniques and major challenges in using nanomaterials for improving water and air quality. The book can be a reference source for academicians, scientists, policymakers, students, and research scientists working in minimizing the environmental pollution and increasing agricultural production using nanoparticles.

This book discusses all aspects of advanced engine technologies, and describes the role of alternative fuels and solution-based modeling studies in meeting the increasingly higher standards of the automotive industry. By promoting research into more efficient and environment-friendly combustion technologies, it helps enable researchers to develop higher-power engines with lower fuel consumption, emissions, and noise levels. Over the course of 12 chapters, it covers research in areas such as homogeneous charge compression ignition (HCCI) combustion and control strategies, the use of alternative fuels and additives in combination with new combustion technology and novel approaches to recover the pumping loss in the spark ignition engine. The book will serve as a valuable resource for academic researchers and professional automotive engineers alike.

Increasing world population, unpredictable climate and various kind of biotic and abiotic stresses necessitate the sustainable increase in crop production through developing improved cultivars possessing enhanced genetic resilience against all odds. An exploration of these challenges and near possible solution to improve yield is addressed in this book. It comprehensively and coherently reviews the application of various aspect of rapidly growing omics technology including genomics, proteomics, transcriptomics and metabolomics for crop development. It provides detailed examination of how omics can help crop science and introduces the benefits of using these technologies to enhance crop production, resistance and other values. It also provides platform to ponder upon the integrative approach of omics to deal with complex biological problems. The book highlights crop improvement such as yield enhancement, biotic and abiotic resistance, genetic modification, bioremediation, food security etc. It explores how the different omics technology independently and collectively would be used to improve the quantitative and qualitative traits of crop plants. The book is useful for graduate and post-graduate students of life science including researchers who are keen to know about the application of omics technologies in the different area of plant science. This book is also an asset to the modern plant breeders, and agriculture biotechnologist.

This book comprises select proceedings of the 43rd National Systems Conference on Innovative and Emerging Trends in Engineering Systems (NSC 2019) held at the Indian Institute of Technology, Roorkee, India. The contents cover latest research in the highly multidisciplinary field of systems engineering, and discusses its various aspects like systems design, dynamics, analysis, modeling and simulation. Some of the topics covered include computing systems, consciousness systems, electrical systems, energy systems, manufacturing systems, mechanical systems, literary systems, social systems, and quantum and nano systems. Given the scope of the contents, this book will be useful for researchers and professionals from diverse engineering and management background.

This book comprises the select proceedings of the 2nd International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2020. In particular, this volume discusses different topics of industrial and production engineering such as sustainable manufacturing processes, logistics, Industry 4.0 practices, circular economy, lean six sigma, agile manufacturing, additive manufacturing, IoT and Big Data in manufacturing, 3D printing, simulation, manufacturing management and automation, surface roughness, multi-objective optimization and modelling for production processes, developments in casting, welding, machining, and machine tools. The contents of this book will be useful for researchers as well as industry professionals.

This book gathers selected research papers presented at the AICTE-sponsored International Conference on IoT Inclusive Life (ICIIL 2019), which was organized by the Department of Computer Science and Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India, on December 19-20, 2019. In contributions by active researchers, the book presents innovative findings and important developments in IoT-related studies, making it a valuable resource for researchers, engineers, and industrial professionals around the globe.

At the moment, there is no dedicated book to summarize the roles, the significance, and potential therapeutic targeting of transcriptional factors from the perspective of signaling cascade, and thus, directly impacting the functionality of transcriptional factors in cancer. In addition, this book will offer a comprehensive basic and clinical science behind the functions of representative core transcriptional factors. These chapters will serve as a treasure for all those who have an interest in the basis, progression, and targeting of human cancer. Each chapter will be intended to provide comprehensive, up-to-date information by the leaders about the physiologic and pathologic roles of TFs in specific representative organ systems of prime importance. The book will consist of chapters that will give biomedical students, under and graduate students, basic sciences and clinical cancer fellows, residents and researchers, and oncology educators will get a thorough summary of the overall subject. The readers will be able to understand the important current information and views on specific TFs and its role in cancer in areas outside their own expertise or experience. A special emphasis will be also placed on the "classic" papers as well as perspectives on future directions for the field.

This book describes intuitive analog design approaches using digital inverters, providing filter architectures and circuit techniques enabling high performance analog circuit design. The authors provide process, supply voltage and temperature (PVT) variation-tolerant design techniques for inverter based circuits. They also discuss various analog design techniques for lower technology nodes and lower power supply, which can be used for designing high performance systems-on-chip.

Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyz ing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g., recognition of gestures, activities, fa cial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gener ate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis."

- Covers the state-of-the-art in hybrid power cycles for power generation with lower emission - Discusses ongoing research & development activities, challenges, constraints, and opportunities in both theoretical as well as application aspects of several hybrid technologies for power generation - Presents new energy storage technique - Contains exergoeconomic and environmental analysis for several hybrid configurations - Presents SOFC integrated blade cooled gas turbine hybrid power cycles

Water transmission and distribution systems are pressurized hydraulic networks, consisting of pipes and other appurtenant components such as reservoirs, pumps, valves and surge devices. Analysis, design and flow control problems in such systems can best be dealt with using network synthesis. This approach aims to directly determine design variables in order to achieve a specified behaviour of the system under steady state or transient flow conditions. There are enormous advantages to be achieved in applying such a model to a wide variety of problems in engineering practice. The innovative theoretical framework described in this thesis, incorporates necessary and sufficient conditions for solvability, as well as methods/algorithms for the efficient solution of network problems.

Algorithim (mathematics) helps in understanding the direct and indirect relationship of plants that exist within it and other environmental factors. This book helps to understand how yield is related to different growth parameters, how growth is influenced by different environmental phenomenon, how best the resources can be used for crop production, etc. The numerical examples in the book guide a student to coordinate the different parameters and understand the subject of Agronomy well. This book is divided into thirteen chapters and covers comprehensively the different agronomic aspects to understand the science of mathematical Agronomy to meet the current and future challenges related to cropping practices.

Researchers have established that numerable aquatic plants have a high medicinal value. Despite this, there is currently no book available in the market which provides full information on the phytochemical and medicinal uses of exclusively aquatic medicinal plants growing in fresh and marine water bodies. Provides a comprehensive overview of aquatic medicinal plants of the world and their potential uses. This book will be useful for scientists/researchers working in freshwater, marine, and wetlands medicinal plants. Moreover, the proposed book will also facilitate understanding and interaction of medicinal plants in a specific ecosystem. This book helps identify some important aquatic medicinal plants and their future possibility for the synthesis or preparation of modern drugs.

Multi-level Inverters (MLIs) are widely used for conversion of DC to AC power. This book provides various low-switching frequency (LSF) modulation schemes (conventional and improved), which can be implemented on MLIs. The LSF modulation schemes are implemented to three different MLI topologies to demonstrate their working and aimed at their application to reader invented MLI topologies. Highlighting the advantages of LSF over high-switching frequency (HSF) modulation schemes, the simulations are carried out using MATLAB®/Simulink along with hardware experiments. The practical application of MLIs to renewable energy sources and electric vehicles is also provided at the end of the book. Aimed at researchers, graduate students in Electric Power Engineering, Power Electronics, this book: Presents detailed overview of most commonly used multi-level invertor topologies. Covers advantages of low-switching over high-switching frequency scheme. Includes an exclusive section dedicated for an improved low-switching modulation scheme. Dedicated chapter on application of renewable energy sources to multi-level invertors and electric vehicles. Explains all the low-switching frequency modulation schemes.

This book is the first of the 3-volume Innovative Approaches in Diagnosis and Management of Crop Diseases, which provides an abundance of new research and information on major diseases of various crops along with new techniques and technology for the detection of plant pathogens along with appropriate management strategies. Divided into three volumes and with chapters written by renowned and expert scientists working in different areas of plant pathology, the volumes cover important diseases of crops incited by bacteria, fungi, viruses, viroids, phytoplasma, and nematodes. It addresses these disease challenges to commercial field and horticultural crops and their management. Chapters cover recent advances in diagnosis and detection of diseases of rice, wheat, pulses, guava, aonla, cucurbits, ginger, sesame, cotton, pigeonpea, field pea, small millets, maize, and cruciferous vegetables as well as ornamental plants. Innovative Approaches in Diagnosis and Management of Crop Diseases: Volume 1 focuses on the Mollicute class of bacteria. It looks at the detection, diagnosis, and management of phytoplasma diseases and viroids, CRISPR-Cas9 genome editing in plants for virus resistance, next-generation sequencing technologies, and more. Key features: Presents diverse research of leading plant pathologists on detection, diagnosis, and management of crop diseases Shares innovative and emerging techniques for diagnosis and management of major plant diseases Covers a vast array of important crops and their diseases Volume 2 looks specifically at the diseases of field and horticultural crops, while Volume 3 reviews the advances in the use of nanomolecules and biocontrol agents. Diagnosis and management of biotic stresses play a pivotal role in efficient agriculture production, and together, these volumes of Innovative Approaches in Diagnosis and Management of Crop Diseases provide reviews of crucial research to effectively advance the detection, diagnosis, and management of crop diseases.

Our limited understanding of cellular regulatory signal-transduction-networks has been a barrier to progress in improving the overall cure-rate of human cancers. Delineation of the physiologic roles of the specific regulatory signaling components, with known association with metastatic phenotypes, is a highly promising area which will likely provide the next generation of targeted strategies in the future of molecular cancer medicine. These signaling components are likely to be used in diagnosis, prognosis, and as novel targets for therapeutic development.

This book brings together up-to-date summaries by leading cancer researchers on the major principles of cancer cell biology: survival, apoptosis, adhesion, and cell cycle deregulation. It is directed at clinicians and scientists working in the areas of experimental and molecular therapeutics, molecular medicine, translational cancer research, and bio-medical sciences in general.

Nanomaterials is an encouraging field for scientists and researchers due to its numerous applications in different fields such as medicine, energy, pharmaceutical, environmental science, agricultural food science and technology. Researchers are shifting towards the synthesis of nanoparticles using various plant systems.

Since Computational Intelligence is a latest technological aspect, the book is likely to be adopted in almost all leading Universities. This book aims to provide state-of-art research in the context of Computational Intelligence related with Healthcare its applications, challenges and management and it would promote how optimization or intelligent techniques envisage the role of Artificial Intelligence-Machine/Deep Learning (AI-ML/DL) in Healthcare.

This book covers the proceedings of ICISSI 2022 (International Conference on Intelligent Systems and Smart Infrastructure) held at Prayagraj, Uttar Pradesh during April 21-22, 2022. The conference was jointly organised by Shambhunath Institute of Engineering and Technology, Prayagraj UP India, Institute of Engineering and Technology (IET) Lucknow, U.P India, and Manipal University Jaipur, Rajasthan India with an aim to provide a platform for researchers, scientists, technocrats, academicians and engineers to exchange their innovative ideas and new challenges being faced in the field of emerging technologies. The papers presented in the conference have been compiled in form of chapters to focus on the core technological developments in the emerging fields like machine learning, intelligence systems, smart infrastructure, advanced power technology etc.

Increased use of artificial intelligence (AI) is being deployed in many hospitals and healthcare settings to help improve health care service delivery. Machine learning (ML) and deep learning (DL) tools can help guide physicians with tasks such as diagnosis and detection of diseases and assisting with medical decision making. This edited book outlines novel applications of AI in e-healthcare. It includes various real-time/offline applications and case studies in the field of e-Healthcare, such as image recognition tools for assisting with tuberculosis diagnosis from x-ray data, ML tools for cancer disease prediction, and visualisation techniques for predicting the outbreak and spread of Covid-19. Heterogenous recurrent convolution neural networks for risk prediction in electronic healthcare record datasets are also reviewed. Suitable for an audience of computer scientists and healthcare engineers, the main objective of this book is to demonstrate effective use of AI in healthcare by describing and promoting innovative case studies and finding the scope for improvement across healthcare services.

Depletion of fossil fuels and petroleum products due to population explosion has created a tremendous demand for renewable energy sources. Non-conventional loads such as electric vehicles and smart residential systems are increasing daily, creating additional load to conventional utility grids. The extra energy demand is filled mainly by energy generated from renewable energy sources such as solar, wind and geothermal energy sources. This has meant that load distribution and power flow management have emerged as the most significant challenges for electrical engineers. Therefore, advanced power management systems must be designed to operate the present distribution system smoothly. The fourth industrial revolution has broken down the walls between the physical, digital and biological worlds. Advancements in artificial intelligence, big data, machine learning, the Internet of Things (IoT), genetic engineering, and quantum computing have made the interface between machines and users very easy. The fourth industrial revolution has brought a drastic revolution for users, from controlling battery charging to planning a suitable control technique for fabricated electrical equipment. Smooth load sharing between grid and renewable energy sources, power management as per the availability of generating sources, and circumventing the sag and swell of utility grids to operate equipment smoothly is facilitated by advanced artificial intelligent techniques. The progressive machine learning approach enables the smooth operation of machines. Overall, the fourth industrial revolution has brought enormous advantages to help electrical users. The work presented in this book deals with the advanced design methods adopted by electrical researchers to facilitate smooth utilization of the fourth industrial revolution. The content of the book includes but is not limited to the following research areas: * Topological improvement of electrical equipment to facilitate smooth user interfaces. * Improvement of techniques to tackle advanced power system problems such as sag, swell, reactive power imbalance and power flow management. * Advanced practices to facilitate smooth electric vehicle charging systems. * Grid to smart residence (G2S) and smart residence to grid (S2G) operation of the utility grid. * Stability analysis of the utility grid amid non-conventional loading. * Artificial intelligence, big data and machine learning applications to power system problems. * Intelligent controllers for an advanced residential system. * Intelligent storage systems for residential buildings.