Presents state-of-the-art information on the various types of semiconductor phase shifters, and explains why different types hold tremendous potential for future phased arrays.

Concepts of banking, technology, and process are explained in poetry format with underlying humor by the author. Nagendra Bharathi has thirty years of experience in banking analytics, business intelligence, and process improvement, serving clients across globe. The last section, "Relax," has few poems on life and love to relax after reading the hardcore topics.

Asiatic Momordica comprises 10 species of which 3 are monoecious and rest dioecious. They are unique in the sense that all are wild or cultivated vegetables with medicinal uses. Barring bitter gourd, all are under utilized vegetables with little research and conservation efforts. In this book, the authors have presented the available information on various aspects of Asiatic Momordica like taxonomy, cytogenetics, crop improvement, origin, ethnobotany and crop production at one place. The book is well illustrated with color maps and photographs depicting habit, morphology and distribution of individual taxa. Species distribution map for all Indian taxa, descriptor for characterization and preliminary evaluation of dioecious and monoecious group available varieties, keys for botanical identification are some of the unique features of the book. The book will be useful to botanists, horticulturists, foresters, environment educators, conservation biologists, plant science students in general and all interested in agrobiodiversity.

There is a need to be aware of the challenges awaiting us in next generation (NextGen) networks in order to take the proper steps to either minimize or eliminate issues as they present themselves. Incorporating artificial intelligence in NextGen networks for privacy and security policies will serve this purpose. It is essential to stay current with these emerging technologies and applications in order to maintain safe and secure communications in the future. The Handbook of Research on Challenges and Risks Involved in Deploying 6G and NextGen Networks explores strategies for the design and deployment of more secured and user-centered NextGen networks through artificial intelligence to enrich user experience. It further investigates the political, social, and geographical challenges involved in realizing these 6G networks and explores ways to improve the security of future potential applications as well as protect user data from illegal access. Covering topics such as deep learning algorithms, aerial network communication, and edge computing, this major reference work is an indispensable resource for regulatory and policy groups, associations and technology groups, government and international bodies, technology executives and technical institutions, management consulting and advisory firms, communication engineers, network engineers, students and educators of higher education, researchers, and academicians.

The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments. Features: Provides a smart traffic congestion avoidance system with an integrated fuel consumption model. Predicts traffic in short-term and regular. This is illustrated with a case study. Efficient Traffic light controller and deviation system in accordance with the traffic scenario. IoT based Intelligent Transport Systems in a Global perspective. Intelligent Traffic Light Control System and Ambulance Control System. Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. Bunch of solutions and ideas for smart traffic development in smart cities. This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system. This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications. This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT. This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.

This book Identifies the right sensors and single board computers for any application to achieve the best performance in Industry 4.0 settings and applications. You’ll see what technologies apply the IIoT with elegant efficiency to drastically improve remote monitoring and controlling, decision making, and preventative maintenance.  Start by learning exactly what Industry 4.0 is and advance your knowledge from simple Internet of Things projects to full-on Industrial IoT deployment. You'll automate advanced processes, incorporate professional procedures, and take your IoT skills to a professional level. Then move into the protocols and standards expected for industrial applications of sensors at an industrial level. Match the right SBCs to the right use cases and sensor technologies to optimize efficiency and ensure peak performance. Then move into setting up a smart factory and monitoring your supply chain with tech. Finally, you'll dive into programming with the Node-Red platform and Python packages for CPS. By the end of this book, you’ll have jumped from simple, home-based IoT systems up to industrial and professional applications. Conquer your supply chain and both forward and backward processes with accessible Maker tech!  What You'll Learn Support industrial applications of SBCs and Maker tech Achieve peak performance by combining the right sensors with the right processing boards Improve remote monitoring and controlling drastically for better decision making and preventative maintenance  Who This Book Is For Students and aspiring professionals working with Internet of things technologies moving towards industrial applications.  Prerequisite knowledge in basic Internet of Things, simple python concepts,  automation, and industry procedures is required for this book.  Engineers and scientists who are pursuing research and contributing to industrial internet of things might also benefit. 

This book constitutes refereed proceedings from the First International Conference on Speech and Language Technologies for Low-resource Languages, SPELLL 2022, held in Kalavakkam, India, in November 2022.  The 25 presented papers were thoroughly reviewed and selected from 70 submissions. The papers are organised in the following topical sections: ​language resources; language technologies; speech technologies; multimodal data analysis; fake news detection in low-resource languages (regional-fake); low resource cross-domain, cross-lingualand cross-modal offensie content analysis (LC4).

Plants, being sessile and autotrophic in nature, must cope with challenging environmental aberrations and therefore have evolved various responsive or defensive mechanisms including stress sensing mechanisms, antioxidant system, signaling pathways, secondary metabolites biosynthesis, and other defensive pathways among which accumulation of osmolytes or osmo-protectants is an important phenomenon. Osmolytes with organic chemical nature termed as compatible solutes are highly soluble compounds with no net charge at physiological pH and nontoxic at higher concentrations to plant cells. Compatible solutes in plants involve compounds like proline, glycine betaine, polyamines, trehalose, raffinose family oligosaccharides, fructans, gamma aminobutyric acid (GABA), and sugar alcohols playing structural, physiological, biochemical, and signaling roles during normal plant growth and development. The current and sustaining problems of climate change and increasing world population has challenged global food security. To feed more than 9 billion, the estimated population by 2050, the yield of major crops needs to be increased 1.1-1.3% per year, which is mainly restricted by the yield ceiling. A major factor limiting the crop yield is the changing global environmental conditions which includes drought, salinity and extreme temperatures and are responsible for a reduction of crop yield in almost all the crop plants. This condition may worsen with a decrease in agricultural land or the loss of potential crop yields by 70%. Therefore, it is a challenging task for agricultural scientists to develop tolerant/resistant varieties against abiotic stresses. The development of stress tolerant plant varieties through conventional breeding is very slow due to complex multigene traits. Engineering compatible solutes biosynthesis by deciphering the mechanism behind the abiotic tolerance or accumulation in plants cell is a potential emerging strategy to mitigate adverse effects of abiotic stresses and increase global crop production. However, detailed information on compatible solutes, including their sensing/signaling, biosynthesis, regulatory components, underlying biochemical mechanisms, crosstalk with other signaling pathways, and transgenic development have not been compiled into a single resource. Our book intends to fill this unmet need, with insight from recent advances in compatible solutes research on agriculturally important crop plants.

Plants, being sessile and autotrophic in nature, must cope with challenging environmental aberrations and therefore have evolved various responsive or defensive mechanisms including stress sensing mechanisms, antioxidant system, signaling pathways, secondary metabolites biosynthesis, and other defensive pathways among which accumulation of osmolytes or osmo-protectants is an important phenomenon. Osmolytes with organic chemical nature termed as compatible solutes are highly soluble compounds with no net charge at physiological pH and nontoxic at higher concentrations to plant cells. Compatible solutes in plants involve compounds like proline, glycine betaine, polyamines, trehalose, raffinose family oligosaccharides, fructans, gamma aminobutyric acid (GABA), and sugar alcohols playing structural, physiological, biochemical, and signaling roles during normal plant growth and development. The current and sustaining problems of climate change and increasing world population has challenged global food security. To feed more than 9 billion, the estimated population by 2050, the yield of major crops needs to be increased 1.1-1.3% per year, which is mainly restricted by the yield ceiling. A major factor limiting the crop yield is the changing global environmental conditions which includes drought, salinity and extreme temperatures and are responsible for a reduction of crop yield in almost all the crop plants. This condition may worsen with a decrease in agricultural land or the loss of potential crop yields by 70%. Therefore, it is a challenging task for agricultural scientists to develop tolerant/resistant varieties against abiotic stresses. The development of stress tolerant plant varieties through conventional breeding is very slow due to complex multigene traits. Engineering compatible solutes biosynthesis by deciphering the mechanism behind the abiotic tolerance or accumulation in plants cell is a potential emerging strategy to mitigate adverse effects of abiotic stresses and increase global crop production. However, detailed information on compatible solutes, including their sensing/signaling, biosynthesis, regulatory components, underlying biochemical mechanisms, crosstalk with other signaling pathways, and transgenic development have not been compiled into a single resource. Our book intends to fill this unmet need, with insight from recent advances in compatible solutes research on agriculturally important crop plants.

There is a need to be aware of the challenges awaiting us in next generation (NextGen) networks in order to take the proper steps to either minimize or eliminate issues as they present themselves. Incorporating artificial intelligence in NextGen networks for privacy and security policies will serve this purpose. It is essential to stay current with these emerging technologies and applications in order to maintain safe and secure communications in the future. Challenges and Risks Involved in Deploying 6G and NextGen Networks explores strategies for the design and deployment of more secured and user-centered NextGen networks through artificial intelligence to enrich user experience. It further investigates the political, social, and geographical challenges involved in realizing these 6G networks and explores ways to improve the security of future potential applications as well as protect user data from illegal access. Covering topics such as deep learning algorithms, aerial network communication, and edge computing, this major reference work is an indispensable resource for regulatory and policy groups, associations and technology groups, government and international bodies, technology executives and technical institutions, management consulting and advisory firms, communication engineers, network engineers, students and educators of higher education, researchers, and academicians.