Prosopis (Prosopis juliflora) is a xerophyte which, in its native habitats has been a desert plant. As long as it was confined to that habitat, P. juliflora was a great resource, improving the region’s micrometeorology, binding its sandy soil, and providing shelter, fuel, feed, food, medicines, and cosmetics to the people of such regions. In particular, for the economically weaker inhabitants, P.juliflora was a lifeline. But when P. juliflora was indiscriminately introduced in other regions of the world in a hope to derive similar benefits from it, things began to go awry. Indeed, among the invasive species of plants which are spreading at an alarming rate in the tropical and sub-tropical regions of the world, P.juliflora is arguably the most hardy and resilient. It is growing so explosively that it even enters roads and homes, driving humans out of their dwellings. The resulting damage to biodiversity is enormous. This book highlights the dual role played so far by P. juliflora and itemizes the facets that make it a blessing in some contexts and a bane in other contexts. Authored by leading experts in the field, Prosopis juliflora: Attributes, Impact, Utilization is the first title of its kind to comprehensively discuss this hardy plant species. It will be an essential read for students, researchers and governmental agencies interested in plant biology, forestry, plant ecology, invasive plant species and environmental science.

Waste Management in the Textiles Industry explores and explains the latest technologies and best practices for an integrated approach to the management and treatment of wastes generated in this industry.

The transitional politics of Eurasian space is marked by a constant struggle among three sets of ideas and institutions: the first is the remarkable resilience of Soviet ideas and institutions; second, an attempt by the regimes of these states to reinvent the historical and cultural traditions of pre-Soviet periods; and third is an attempt by a section of the powerful elite to superimpose Western liberal ideas and institutions. There is a strange intertwining of these ideas and institutions. This book examines the extent to which the post-Soviet politics has departed from the Soviet one. What are the new ideational structures emerging in these states and how far have they crystallised into institutions? What are the external influences which are shaping the institutions in the Eurasian space? And finally, what are the various dynamics of geopolitics in this region? Experts from various countries will delve into the shifting dynamics of Eurasian politics.

Innovative ideas provide solutions to problems that creators are passionate about, which stimulates the decision of technology-based company creation. This book explores the fundamental elements and economic valuation of technology-based startups and their immediate ecosystems. It covers all the phases and the required competencies for technological startup creation and development. This book also provides a comprehensive coverage of methods and recommendations for defining and assessing opportunities to create new tech companies for many young researchers or students aspiring to be innovators. Featuring contributions from financial market analysts, business professionals, and venture capitalists, this book benefits readers from different disciplines, technical or non-technical, associated with tech startup projects. 

Like electricity and water, data and computing power are necessary commodities in the modern-day economy. A model for the effective regulation and provisioning of computational services will follow a similar paradigm as the existent model for traditional utilities. Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing explores methods of treating computing resources and materials as a standard utility, charging customers based on their usage and promoting competition among service providers. Including both benefits and hindrances, as well as theoretical concepts and practical considerations, this book provides an in-depth discussion of the utility computing paradigm for computer engineers, service providers, consumers, and academics in the field of computer science. This book includes emerging research on subjects including, but not limited to, Graphical Processing Unit (GPU) architectures, green computing, VMware, and device manufacturing techniques.

This book discusses the development of promising technologies for compact antennas for high data-rate communications. It discusses and analyzes the design of compact ultra-wideband (UWB) and multiple input, multiple output (MIMO) antennas, providing essential know-how for designers, practicing engineers and scientists. These wireless communication technologies enable consumers to have convenient access to a wide range of services - anytime, anywhere. And the introduction of wireless mobile access points eliminates the limitations to communication imposed by geographical location. The Internet has allowed people to access and share information much more rapidly, but in order to achieve higher data rates with the limited available resources and imposed constraints, wireless communication technology needs to be pushed beyond the physical limits of the propagation channel. This book contributes to achieving this goal.

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.

This proceedings volume highlights important points of achieving a balanced and sustained growth path from diverse economics and finance perspectives, touching on a wide array of economic and social analyses in India. Featuring contributions presented at the 2018 International Conference on Economics and Finance (ICEF-2018) held at the Birla Institute of Technology and Science, Pilani, Goa, India, the enclosed papers explore topics such as inflation dynamics, information transmission in post-recession era, leverage effect and volatility asymmetry, structural change and economic growth and reforming tax systems, among others. The Indian economy today is remarkable and, not surprisingly, it is growing very rapidly. It has emerged as the fastest growing major economy in the world as per the Central Statistical Organization (CSO) and International Monetary Fund (IMF) and it is expected to be one of the top three economic powers of the world over the next 10 to15 years, backed by its strong democracy and partnership. At the backdrop of impressive progress of the Indian economy during the last two decades, the question that remains to be answered is does India still have a long way to go before it is functioning well as a market economy? This book critically examines the performance of the Indian economy at the national, state and sectorial levels. Featuring contributions from leading academicians, scholars and practitioners from Asia and the rest of the world, this book is an asset to students, professors, scholars, practitioners and policy makers in the areas of India economics, finance and sustainable development.

This book analyzes the underlying theoretical principles of multi-objective linear programming problems with multi-choice parameters. It studies transportation problems on the same domain with extension to fuzzy stochastic criteria, and offers insights into sensitivity analysis through symmetric duality and complementarity using non-convex programming. These analytical presentations provide ample scope for researchers to contemplate real-world problems with an innovative vision. The formulation, analysis and solution procedures on inventory control models in the book use both deterministic and fuzzy parameters, and provide novel optimal inventory policies. The book discusses a wide range of optimal operational techniques for policy makers, government and private agencies in the fields of e-governance and agricultural crop insurance, which are crucial for developing countries. The recommendations address the gaps and remedies in various schemes that influence decision-making in the context of the economic development of such countries.

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult, traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce, bio- formatics, computer security, Web intelligence, intelligent learning database systems, ?nance, marketing, healthcare, telecommunications, andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However, the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exc

This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.

This book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2016. ERCICA provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.

The development of nature-inspired computational techniques has enhanced problem solving in dynamic and uncertain environments. By implementing effective computing strategies, this ensures adaptable, self-organizing, and decentralized behavioral techniques. Recent Developments in Intelligent Nature-Inspired Computing is an authoritative reference source for the latest scholarly material on natural computation methods and applications in diverse fields. Highlighting multidisciplinary studies on swarm intelligence, global optimization, and group technology, this publication is an ideal reference source for professionals, researchers, scholars, and engineers interested in the latest developments in computer science methodologies.

This book presents the concept of cognition in a clear, lucid and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms, and demonstrates their application with real life experiments.

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

Wireless Sensor Network (WSN) consists of numerous physically distributed autonomous devices used for sensing and monitoring the physical and/or environmental conditions. A WSN uses a gateway that provides wireless connectivity to the wired world as well as distributed networks. There are many open problems related to Ad-Hoc networks and its applications. Looking at the expansion of the cellular infrastructure, Ad-Hoc network may be acting as the basis of the 4th generation wireless technology with the new paradigm of 'anytime, anywhere communications'. To realize this, the real challenge would be the security, authorization and management issues of the large scale WSNs. This book is an edited volume in the broad area of WSNs. The book covers various chapters like Multi-Channel Wireless Sensor Networks, its Coverage, Connectivity as well as Deployment. It covers comparison of various communication protocols and algorithms such as MANNET, ODMRP and ADMR Protocols for Ad hoc Multicasting, Location Based Coordinated Routing Protocol and other Token based group local mutual exclusion Algorithms. The book also covers a chapter on Extended Ad hoc On-Demand Distance Vector (EAODV) routing protocol based on Distributed Minimum Transmission Multicast Routing (DMTMR). One chapter is dedicated to OCDMA and its future application and another chapter covers development of Home Automation System using SWN.

Since their independence in 1991, the former Soviet Republics have gone through difficult transition processes to achieve cultural, economical and political transformations. Diverse internal dynamics have produced diverse outcomes for the countries and peoples of the former Soviet space. While there are different results of transition, there are also similarities due to many common concerns and expectations. The most important question is, What have these new states transformed into where democracy, free market, and functioning civil society are concerned? Or, Has the transformation led to greater polarisation in terms of rich and poor divide, authoritarianism and withdrawal of the state from providing social security, contested geopolitics and increasing external influence? Apart from discussing the challenges that the post-Soviet states face and their coping strategies, the articles in this book also look at how the Eurasian countries participate in the globalisation process while using the energy and natural resources to their benefit.

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

Recent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment. This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains: Business Analytics Financial Analytics Human Resource Analytics Marketing Analytics