The theme of this book is sustainable e-waste management through effective amalgamation of information and communication technologies (ICT) and green recycling technologies to ensure development of intelligent, smart, and sustainable systems. It encompasses multidisciplinary interventions including recent case studies from OEMs, IT industries as well as E-waste recyclers and explores interdisciplinary research and industry-academia collaborations towards development of smart and sustainable systems for e-waste management. Features: Covers application of smart and intelligent systems for e-waste management. Explores recent advancement from the technological aspect – both recycling and ICT. Reviews supply chain criticalities for e-waste. Aims at cleaner production and intelligent systems for a green digital economy. Includes real-life case studies reflecting industry standards and current paradigm. This book is aimed at graduate students and researchers in environmental engineering. waste management, urban mining, circular economy, waste processing, electronics and telecommunication engineering, electrical and electronics engineering, and chemical engineering.

This book entails the developments in the field of e-waste management with particular focus on urban mining, sustainability, and circular economy aspects. It further explains e-waste recycling technologies, supply chain aspects, e-waste disposal in IT industries including health and environmental effects of E-waste recycling processes and associated issues, challenges, and solutions. Further, it describes economic potential of resource recovery from e-waste. Features: Covers recent developments in e-waste management. Explores technological advancements such as nanotech from e-waste, MREW, fungal biotech and so forth. Reviews electronic component recycling aspects. Discusses implementation of circular economy in e-waste sector. Includes urban mining and sustainability aspects of e-waste. This book is aimed at graduate students and researchers in environmental engineering, waste management, urban mining, circular economy, waste processing, electronics, and telecommunication engineering, electrical and electronics engineering, and chemical engineering.

Covers intricacies of e-waste management with an outlook towards checkpoint of sustainable development goals (SDGs) in 2025 Describes the global status of e-waste recycling and management with country-specific contributions Includes focus on policy tools such as EPR, ARF, policy gaps, and the informal sector activities Offers detailed information about advanced green and smart technologies for e-waste valorisation and management Explores urban mining, sustainability, and circular economic approaches

Developed from the author s popular graduate-level course, Computational Number Theory presents a complete treatment of number-theoretic algorithms. Avoiding advanced algebra, this self-contained text is designed for advanced undergraduate and beginning graduate students in engineering. It is also suitable for researchers new to the field and practitioners of cryptography in industry.

Requiring no prior experience with number theory or sophisticated algebraic tools, the book covers many computational aspects of number theory and highlights important and interesting engineering applications. It first builds the foundation of computational number theory by covering the arithmetic of integers and polynomials at a very basic level. It then discusses elliptic curves, primality testing, algorithms for integer factorization, computing discrete logarithms, and methods for sparse linear systems. The text also shows how number-theoretic tools are used in cryptography and cryptanalysis. A dedicated chapter on the application of number theory in public-key cryptography incorporates recent developments in pairing-based cryptography.

With an emphasis on implementation issues, the book uses the freely available number-theory calculator GP/PARI to demonstrate complex arithmetic computations. The text includes numerous examples and exercises throughout and omits lengthy proofs, making the material accessible to students and practitioners.

This book presents a socio-economic analysis of the issues linking technological innovation in providing arsenic-safe drinking water in rural areas. It presents concrete field based experiences of experiments and case studies depicting the plight and sufferings of people due to failed technological deployment strategies over the past two decades in West Bengal, the most arsenic-exposed state in India and also the first to act for remediation of the crisis. One of the greatest challenges in arsenic-exposed zones is to provide sustainable access to reliably arsenic-safe free water. For nearly twenty years the Government of India and national water distribution institutions in collaboration with multi-lateral funding agencies have sought to pump in money, push technology collected through global tenders, and enlist the support of non-governmental organizations (NGOs), but their efforts have yielded little success. This book is the outcome of the authors' intensive fieldwork, guided by the conceptual framework of the latest literature on environmental economics and consumer behaviour. It presents a framework and estimates based on field level primary data. Secondary official source-based data are also collated from various scattered sources into a valuable, comprehensive collection. Lastly, the book includes a revealing analysis of factors affecting households' participation.

Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design. Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear systems with unknown dynamics, which are rarely treated in literature are developed. Results spanning systems with first-, second- and on up to general high-order nonlinear dynamics are presented. Each control methodology proposed is developed by rigorous proofs. All algorithms are justified by simulation examples. The text is self-contained and will serve as an excellent comprehensive source of information for researchers and graduate students working with multi-agent systems.

This book presents a socio-economic analysis of the issues linking technological innovation in providing arsenic-safe drinking water in rural areas. It presents concrete field based experiences of experiments and case studies depicting the plight and sufferings of people due to failed technological deployment strategies over the past two decades in West Bengal, the most arsenic-exposed state in India and also the first to act for remediation of the crisis. One of the greatest challenges in arsenic-exposed zones is to provide sustainable access to reliably arsenic-safe free water. For nearly twenty years the Government of India and national water distribution institutions in collaboration with multi-lateral funding agencies have sought to pump in money, push technology collected through global tenders, and enlist the support of non-governmental organizations (NGOs), but their efforts have yielded little success. This book is the outcome of the authors' intensive fieldwork, guided by the conceptual framework of the latest literature on environmental economics and consumer behaviour. It presents a framework and estimates based on field level primary data. Secondary official source-based data are also collated from various scattered sources into a valuable, comprehensive collection. Lastly, the book includes a revealing analysis of factors affecting households' participation.

Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design. Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear systems with unknown dynamics, which are rarely treated in literature are developed. Results spanning systems with first-, second- and on up to general high-order nonlinear dynamics are presented. Each control methodology proposed is developed by rigorous proofs. All algorithms are justified by simulation examples. The text is self-contained and will serve as an excellent comprehensive source of information for researchers and graduate students working with multi-agent systems.

This book constitutes the refereed proceedings of the 9th International Conference on Cryptology in India, INDOCRYPT 2008, held in Kharagpur, India, in December 2008.

The 33 revised full papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on stream ciphers, cryptographic hash functions, public-key cryptography, security protocols, hardware attacks, block ciphers, cryptographic hardware, elliptic curve cryptography, and threshold cryptography.

This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.

This book presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively. The book also discusses applications of hybrid methods, algorithms and image filters, which are proving to be better than the individual techniques or algorithms.

Traditionally, missile autopilots have been designed using linear control approaches with gain scheduling. Moreover, three single axis autopilots are usually designed without considering the interaction among the motion axes. Such designs cannot handle the coupling among pitch-yaw-roll channels, especially under high angles of attack occurring in high maneuver zones. In most research studies, realistic factors like fin saturation, limitation of gimbal freedom etc are not considered. Our research work contributed a nonlinear multivariable approach to the design of an autopilot for a realistic missile that overcomes these difficulties. At first, exact input-output (IO) feedback linearization and decoupling is carried out for the dynamic IO characteristics of the inner rate loop of the pitch and yaw channels. This enables the design of scalar linear controllers for the inner rate loops. However performance deteriorates when the plant model is perturbed, due to aerodynamic uncertainties, from the nominal model. The robust IO linearization techniques are developed using H_inf and sliding mode techniques.