Neeraj Kumar Singh – författare

System on Chip Interfaces for Low Power Design provides a top-down understanding of interfaces available to SoC developers, not only the underlying protocols and architecture of each, but also how they interact and the tradeoffs involved. The book offers a common context to help understand the variety of available interfaces and make sense of technology from different vendors aligned with multiple standards. With particular emphasis on power as a factor, the authors explain how each interface performs in various usage scenarios and discuss their advantages and disadvantages. Readers learn to make educated decisions on what interfaces to use when designing systems and gain insight for innovating new/custom interfaces for a subsystem and their potential impact.

Provides a top-down guide to SoC interfaces for memory, multimedia, sensors, display, and communication Explores the underlying protocols and architecture of each interface with multiple examples Guides through competing standards and explains how different interfaces might interact or interfere with each other Explains challenges in system design, validation, debugging and their impact on development

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms.

Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.

Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints

Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide provides engineers and system designers who are exploring the application of AI/ML methods for safety-critical systems with a dedicated resource on the challenges and mitigation strategies involved in their design. The book's authors present ML techniques in safety-critical systems across multiple domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many others. These applications help readers understand the many challenges that need to be addressed in order to increase the deployment of ML models in critical systems. In addition, the book shows how to improve public trust in ML systems by providing explainable model outputs rather than treating the system as a black box for which the outputs are difficult to explain. Finally, the authors demonstrate how to meet legal certification and regulatory requirements for the appropriate ML models. In essence, the goal of this book is to help ensure that AI-based critical systems better utilize resources, avoid failures, and increase system safety and public safety.Covers foundational concepts, advanced theories, and real-world applications, ensuring readers gain a thorough understanding of AI/ML as it applies to Safety-Critical SystemsPresents both the risks and advantages of implementing machine learning techniques in Safety-Critical SystemsPresents machine learning techniques in Safety-Critical Systems across domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many othersDemonstrates how to meet legal certification and regulatory requirements for the appropriate ML models

Defining a new development life-cycle methodology, together with a set of associated techniques and tools to develop highly critical systems using formal techniques, this book adopts a rigorous safety assessment approach explored via several layers (from requirements analysis to automatic source code generation). This is assessed and evaluated via a standard case study: the cardiac pacemaker. Additionally a formalisation of an Electrocardiogram (ECG) is used to identify anomalies in order to improve existing medical protocols. This allows the key issue - that formal methods are not currently integrated into established critical systems development processes - to be discussed in a highly effective and informative way.Using Event-B for Critical Device Software Systems serves as a valuable resource for researchers and students of formal methods. The assessment of critical systems development is applicable to all industries, but engineers and physicians from the health domain will find the cardiac pacemaker case study of particular value.

Defining a new development life-cycle methodology, together with a set of associated techniques and tools to develop highly critical systems using formal techniques, this book adopts a rigorous safety assessment approach explored via several layers (from requirements analysis to automatic source code generation). This is assessed and evaluated via a standard case study: the cardiac pacemaker. Additionally a formalisation of an Electrocardiogram (ECG) is used to identify anomalies in order to improve existing medical protocols. This allows the key issue - that formal methods are not currently integrated into established critical systems development processes - to be discussed in a highly effective and informative way.Using Event-B for Critical Device Software Systems serves as a valuable resource for researchers and students of formal methods. The assessment of critical systems development is applicable to all industries, but engineers and physicians from the health domain will find the cardiac pacemaker case study of particular value.

Explore a complex mechanical system where electronics and mechanical engineers work together as a cross-functional team. Using a working example, this book is a practical “how to” guide to designing a drone system.As system design becomes more and more complicated, systematic, and organized, there is an increasingly large gap in how system design happens in the industry versus what is taught in academia. While the system design basics and fundamentals mostly remain the same, the process, flow, considerations, and tools applied in industry are far different than that in academia. Designing Drone Systems takes you through the entire flow from system conception to design to production, bridging the knowledge gap between academia and the industry as you build your own drone systems.What You’ll LearnGain a high level understanding of drone systemsDesign a drone systems and elaborating the various aspects and considerations of designReview the principles of the industrial system design process/flow, and the guidelines for drone systemsLook at the challenges, limitations, best practices, and patterns of system designWho This Book Is ForPrimarily for beginning or aspiring system design experts, recent graduates, and system design engineers. Teachers, trainers, and system design mentors can also benefit from this content.

Understand essential computer science concepts and skills. This book focuses on the foundational and fundamental concepts upon which expertise in specific areas can be developed, including computer architecture, programming language, algorithm and data structure, operating systems, computer networks, distributed systems, security, and more.According to code.org, there are 500,000 open programming positions available in the US— compared to an annual crop of just 50,000 graduating computer science majors. The US Department of Labor predicted that there will be almost a million and a half computer science jobs in the very near future, but only enough programmers to fill roughly one third of these jobs.To bridge the gap, many people not formally trained in computer science are employed in programming jobs. Although they are able to start programming and coding quickly, it often takes them time to acquire the necessary understanding to gain the requisite skills to becomean efficient computer engineer or advanced developer. What You Will LearnThe fundamentals of how a computer worksThe basics of computer programming and programming paradigmsHow to write efficient programsHow the hardware and software work together to provide a good user experience and enhance the usability of the systemHow computers can talk to each otherHow to ensure the security of the systemThe fundamentals of cloud offerings, implications/trade-offs, and deployment/adoption configurationsThe fundamentals of machine learningWho This Book Is ForComputer programmers lacking a formal education in computer science, and anyone with a formal education in computer science, looking to develop a general understanding of computer science fundamentals

This book constitutes the refereed proceedings of the 9th International Conference on Model and Data Engineering, MEDI 2019, held in Toulouse, France, in October 2019. The 11 full papers and 7 short papers presented in this book were carefully reviewed and selected from 41 submissions.

This proposed book chapter is expected to provide the readers with wide aspects of green technologies for industrial waste remediation. The first chapter is dedicated to the introduction to the title of the book. The chapter discusses various green technologies for industrial waste remediation. After that, the second chapter emphasizes the different types of applications of microorganisms in industrial waste treatment. After that, chapters emphasize the specific area of the title, including the micro and nanofiltration technology for the treatment of industrial wastewater, methods for the recovery and removal of heavy metals from industrial effluents, algal photobioreactor technology for industrial wastewater treatment, carbon capture and energy recovery, bioremediation of radioactive wastes, membrane-based technologies for industrial waste management, valorization of agro-industrial wastes for biorefinery products, bioaccumulation and detoxification of metals through genetically engineered microorganism, application of biochar in waste remediation, constructed wetlands for industrial wastewater remediation, bioelectrochemical treatment of recalcitrant pollutants, microplastics, petrochemicals including BTEX, applications of biosorbents in industrial wastewater treatment, Microbial biofilm reactor for sustainable wastewater treatment, dye adsorption and degradation using microbial consortium, sustainable treatment of endocrine disruptive chemicals released from industries, biological nanomaterials for industrial wastewater management, vermifiltration as a natural, cost-effective and green technology for biomanagement of industrial wastewater, biocatalytic remediation of industrial pollutants, and green treatment of poly aromatic hydrocarbons released from industrial waste. All the chapters cover various aspects of sustainable management of industrial wastes covering relevant literature and data.Further, this book discusses the various advanced techniques/methods adopted for the enhancement of waste management, like the application of nanoparticles. This book discusses other related topics such as algal photobioreactors for carbon dioxide sequestration. Further, chapters are included to discuss about life cycle assessment of the wastewater treatment tools and commercialization aspects.

This proposed book chapter is expected to provide the readers with wide aspects of green technologies for industrial waste remediation. The first chapter is dedicated to the introduction to the title of the book. The chapter discusses various green technologies for industrial waste remediation. After that, the second chapter emphasizes the different types of applications of microorganisms in industrial waste treatment. After that, chapters emphasize the specific area of the title, including the micro and nanofiltration technology for the treatment of industrial wastewater, methods for the recovery and removal of heavy metals from industrial effluents, algal photobioreactor technology for industrial wastewater treatment, carbon capture and energy recovery, bioremediation of radioactive wastes, membrane-based technologies for industrial waste management, valorization of agro-industrial wastes for biorefinery products, bioaccumulation and detoxification of metals through genetically engineered microorganism, application of biochar in waste remediation, constructed wetlands for industrial wastewater remediation, bioelectrochemical treatment of recalcitrant pollutants, microplastics, petrochemicals including BTEX, applications of biosorbents in industrial wastewater treatment, Microbial biofilm reactor for sustainable wastewater treatment, dye adsorption and degradation using microbial consortium, sustainable treatment of endocrine disruptive chemicals released from industries, biological nanomaterials for industrial wastewater management, vermifiltration as a natural, cost-effective and green technology for biomanagement of industrial wastewater, biocatalytic remediation of industrial pollutants, and green treatment of poly aromatic hydrocarbons released from industrial waste. All the chapters cover various aspects of sustainable management of industrial wastes covering relevant literature and data.Further, this book discusses the various advanced techniques/methods adopted for the enhancement of waste management, like the application of nanoparticles. This book discusses other related topics such as algal photobioreactors for carbon dioxide sequestration. Further, chapters are included to discuss about life cycle assessment of the wastewater treatment tools and commercialization aspects.

The edited book is a consolidated handbook on quantum computing that covers quantum basic science and mathematics to advanced concepts and applications of quantum computing and quantum machine learning applied to diverse domains.

The edited book is a consolidated handbook on quantum computing that covers quantum basic science and mathematics to advanced concepts and applications of quantum computing and quantum machine learning applied to diverse domains.

This book provides latest information and knowledge from internationally recognized experts working in wastewater treatment field. It covers broad aspects of integrated bioeletrochemical-constructed wetland system for future sustainable wastewater treatment and resource recovery. It discusses various constructed wetland and their application in wastewater treatment and the principle and mechanism of bioelectrochemical system for wastewater treatment. The book also reviews the various types of constructed wetland integrated with bioeletrochemical and microbial fuel cells. It includes chapters on the recovery of bioelectricity and bioenergy from wastewater resource using constructed wetland by adoption of microbial fuel cell technology, recent advancements in bioelectrochemical system and microbial fuel cell technology for energy production in constructed wetland, applied bioaugmentation and bioremediation treatment technology in constructed wetland for wastewater treatment, successful models of constructed wetlands applied for water purification across the globe, and chapters on scaling up, economic sustainability, and feasibility and life cycle assessment of constructed wetland for wastewater treatment integrated with microbial fuel cells and bioelectrochemical systems. The book can be a valuable reference for researchers and professionals interested in wastewater treatment and allied fields.

This book provides latest information and knowledge from internationally recognized experts working in wastewater treatment field. It covers broad aspects of integrated bioeletrochemical-constructed wetland system for future sustainable wastewater treatment and resource recovery. It discusses various constructed wetland and their application in wastewater treatment and the principle and mechanism of bioelectrochemical system for wastewater treatment. The book also reviews the various types of constructed wetland integrated with bioeletrochemical and microbial fuel cells. It includes chapters on the recovery of bioelectricity and bioenergy from wastewater resource using constructed wetland by adoption of microbial fuel cell technology, recent advancements in bioelectrochemical system and microbial fuel cell technology for energy production in constructed wetland, applied bioaugmentation and bioremediation treatment technology in constructed wetland for wastewater treatment, successful models of constructed wetlands applied for water purification across the globe, and chapters on scaling up, economic sustainability, and feasibility and life cycle assessment of constructed wetland for wastewater treatment integrated with microbial fuel cells and bioelectrochemical systems. The book can be a valuable reference for researchers and professionals interested in wastewater treatment and allied fields.