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.

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.

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.

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 Learn

Who This Book Is For

Computer 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. The papers cover broad research areas on both theoretical, systems and practical aspects. Some papers include mining complex databases, concurrent systems, machine learning, swarm optimization, query processing, semantic web, graph databases, formal methods, model-driven engineering, blockchain, cyber physical systems, IoT applications, and smart systems.

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.

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.