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  • 1
    Article
    Article
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    In:  Journal of the Indian Anthropological Society : an international journal devoted to all aspects of the science of man Vol. 34, No. 3 (1999), p. 277-283
    ISSN: 0019-4387
    Language: Undetermined
    Titel der Quelle: Journal of the Indian Anthropological Society : an international journal devoted to all aspects of the science of man
    Publ. der Quelle: Calcutta : Soc
    Angaben zur Quelle: Vol. 34, No. 3 (1999), p. 277-283
    DDC: 300
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  • 2
    Language: English
    Pages: 1 Online-Ressource (30 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Andres, Luis Sustainability of Demand Responsive Approaches to Rural Water Supply: The Case of Kerala
    Abstract: This paper presents the findings of an impact evaluation to assess the performance and sustainability of the demand responsive community-based approach toward rural water supply in the state of Kerala, India. To achieve the study's objectives, conceptual definitions of the "performance" and "sustainability" of rural water supply schemes were first developed, as were indicators for their systematic measurement. Performance and sustainability indicators for demand responsive approaches were compared with the more conventional supply-based approach to rural water supply. The study found that participatory community driven water supply schemes were more successful in delivering adequate, regular, and quality water supply, experienced fewer breakdowns and water shortages, and enjoyed higher consumer satisfaction with the quality of service delivery. The success of the community-based approach demonstrates that people are willing to contribute toward the capital costs of the schemes and pay for the water they use for a better service delivery. The findings of this paper suggest that the community-based approach can be a superior alternative to traditional supply driven models in expanding and improving water service delivery in rural areas
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 3
    ISBN: 9789811546686 , 9811546681
    Language: English
    Pages: 1 Online-Ressource (XX, 395 Seiten) , 107 illus., 76 illus. in color.
    Edition: 1st ed. 2020
    Series Statement: Springer Transactions in Civil and Environmental Engineering
    Parallel Title: Erscheint auch als Resilience, Response, and Risk in Water Systems
    DDC: 304.2
    Keywords: Sustainability ; Water ; Hydrology ; Security systems ; Pollution ; Sustainability ; Water ; Security Science and Technology ; Pollution
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  • 4
    ISBN: 9781788628327 , 1788628322
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Apache Hadoop ; Application software ; Development ; Big data ; Business ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide to mastering the most advanced Hadoop 3 concepts Key Features Get to grips with the newly introduced features and capabilities of Hadoop 3 Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystem Sharpen your Hadoop skills with real-world case studies and code Book Description Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you'll understand advanced concepts of the Hadoop ecosystem tool. You'll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You'll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you'll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you'll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you'll be equipped to tackle a range of real-world problems in data pipelines. What you will learn Gain an in-depth understanding of distributed computing using Hadoop 3 Develop enterprise-grade applications using Apache Spark, Flink, and more Build scalable and high-performance Hadoop data pipelines with security, monitoring, and data governance Explore batch data processing patterns and how to model data in Hadoop Master best practices for enterprises using, or planning to use, Hadoop 3 as a data platform Understand security aspects of Hadoop, including authorization and authentication Who this book is for If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You'll also find this book useful if you're a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language an...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 5
    ISBN: 9781787287631 , 1787287637
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Apache Kafka ; Application software ; Development ; Application program interfaces (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book Build efficient real-time streaming applications in Apache Kafka to process data streams of data Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out of this book What You Will Learn Learn the basics of Apache Kafka from scratch Use the basic building blocks of a streaming application Design effective streaming applications with Kafka using Spark, Storm &, and Heron Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system Make effective capacity planning while deploying your Kafka Application Understand and implement the best security practices In Detail Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it. Style and approach A step-by -step, comprehensive guide filled with practical and real- world examples Downloading the example code for this book. You can download the example code f...
    Note: Description based on online resource; title from title page (Safari, viewed September 19, 2017)
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  • 6
    ISBN: 9781788476010 , 1788476018
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Build next-generation Artificial Intelligence systems with Java About This Book Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Who This Book Is For This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus. What You Will Learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms In Detail In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. Style and approach An easy-to-follow, step-by-step guide to help you get to grips with real-world applications of Artificial Intelligence for big data using Java
    Note: Description based on online resource; title from title page (Safari, viewed June 29, 2018)
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  • 7
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Cham : Springer International Publishing AG
    ISBN: 9789811520976 , 9811520976
    Language: English
    Pages: 1 Online-Ressource (IX, 381 Seiten) , 150 illus., 132 illus. in color.
    Edition: 1st ed. 2020
    Series Statement: Advances in Geographical and Environmental Sciences
    Parallel Title: Erscheint auch als Geoecology of Landscape Dynamics
    DDC: 304.2
    Keywords: Human geography ; Landscape ecology ; Sustainability ; Geographic information systems ; Human Geography ; Landscape Ecology ; Sustainability ; Geographical Information System
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535101178 , 9789535152330
    Language: English
    Pages: 1 Online-Ressource (470 p.)
    Keywords: Genetics (non-medical)
    Abstract: Food security emerged as an issue in the first decade of the 21st Century, questioning the sustainability of the human race, which is inevitably related directly to the agricultural water management that has multifaceted dimensions and requires interdisciplinary expertise in order to be dealt with. The purpose of this book is to bring together and integrate the subject matter that deals with the equity, profitability and irrigation water pricing; modelling, monitoring and assessment techniques; sustainable irrigation development and management, and strategies for irrigation water supply and conservation in a single text. The book is divided into four sections and is intended to be a comprehensive reference for students, professionals and researchers working on various aspects of agricultural water management. The book seeks its impact from the diverse nature of content revealing situations from different continents (Australia, USA, Asia, Europe and Africa). Various case studies have been discussed in the chapters to present a general scenario of the problem, perspective and challenges of irrigation water use
    Note: English
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  • 9
    Language: English
    Pages: 1 Online-Ressource
    Keywords: Engineering: general
    Abstract: The search for efficient materials for organic light emitting diodes is one of the most imperative research area. The focus is to obtain a bright large area emitter, limited by the low internal quantum efficiency of conventional organic emitters. Recently, a new generation of the organic materials (TADF) with a theoretical internal quantum efficiency up to 100%, opened new frameworks. However, significant challenges persist to achieve full understanding of the TADF mechanism and to improve the OLEDs stability. Starting from the photo-physical analysis, we show the relationship with the molecular electrical carrier dynamics and internal quantum efficiencies. The OLED structure, fabrication, and characterization are also discussed. Several examples for the full color emitters are given. Special emphasis on experimental results is made, showing the major milestones already achieved in this field
    Note: English
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