Author: Debasis Giri
Publisher: Springer Nature
ISBN: 9819720699
Category :
Languages : en
Pages : 270
Book Description
Proceedings of the Tenth International Conference on Mathematics and Computing
Author: Debasis Giri
Publisher: Springer Nature
ISBN: 9819720699
Category :
Languages : en
Pages : 270
Book Description
Publisher: Springer Nature
ISBN: 9819720699
Category :
Languages : en
Pages : 270
Book Description
Information, Communication and Computing Technology
Author: Gerhard-Wilhelm Weber
Publisher: Springer Nature
ISBN: 3031724836
Category :
Languages : en
Pages : 191
Book Description
Publisher: Springer Nature
ISBN: 3031724836
Category :
Languages : en
Pages : 191
Book Description
Industrial Control Systems
Author: Vipin Chandra Pal
Publisher: John Wiley & Sons
ISBN: 1119829410
Category : Technology & Engineering
Languages : en
Pages : 251
Book Description
INDUSTRIAL CONTROL SYSTEMS This volume serves as a comprehensive guide in the journey of industrial control systems with a multidisciplinary approach to the key engineering problems in the 21st century. The journey of the control system may be viewed from the control of steam engines to spacecraft, aeroplane missile control systems to networked control systems and cybersecurity controls. In terms of industrial control and application, the journey starts from the design of P-I-D controllers to fuzzy controllers, neuro-fuzzy controllers, backstepping controllers, sliding mode controllers, and event-triggered controls for networked control systems. Recently, control theory has spread its golden feathers in different fields of engineering by use of the splendid tool of the control system. In this era, the boom of the Internet of Things is at its maximum pace. Different biomedical applications also come under this umbrella and provide the easiest way to continuous monitoring. One of the prominent research areas of green energy and sustainable development in which control plays a vital role is load frequency controllers, control of solar thermal plants, an event-driven building energy management system, speed-sensorless voltage and frequency control in autonomous DFIG-based wind energy, Hazardous Energy Control Programs, and many more. This exciting new volume: Offers a complete journey through industrial control systems Is written for multidisciplinary students and veteran engineers alike Benefits researchers from diverse disciplines with real-world applications
Publisher: John Wiley & Sons
ISBN: 1119829410
Category : Technology & Engineering
Languages : en
Pages : 251
Book Description
INDUSTRIAL CONTROL SYSTEMS This volume serves as a comprehensive guide in the journey of industrial control systems with a multidisciplinary approach to the key engineering problems in the 21st century. The journey of the control system may be viewed from the control of steam engines to spacecraft, aeroplane missile control systems to networked control systems and cybersecurity controls. In terms of industrial control and application, the journey starts from the design of P-I-D controllers to fuzzy controllers, neuro-fuzzy controllers, backstepping controllers, sliding mode controllers, and event-triggered controls for networked control systems. Recently, control theory has spread its golden feathers in different fields of engineering by use of the splendid tool of the control system. In this era, the boom of the Internet of Things is at its maximum pace. Different biomedical applications also come under this umbrella and provide the easiest way to continuous monitoring. One of the prominent research areas of green energy and sustainable development in which control plays a vital role is load frequency controllers, control of solar thermal plants, an event-driven building energy management system, speed-sensorless voltage and frequency control in autonomous DFIG-based wind energy, Hazardous Energy Control Programs, and many more. This exciting new volume: Offers a complete journey through industrial control systems Is written for multidisciplinary students and veteran engineers alike Benefits researchers from diverse disciplines with real-world applications
Revolutionizing Pest Management for Sustainable Agriculture
Author: Zia Ul Haq, Muhammad
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 778
Book Description
In the industry of agriculture, farmers are facing a challenge worldwide: the need to simultaneously achieve substantial crop yields and mitigate the adverse environmental effects caused by persistent threats from agricultural parasites. The escalating demand for food in tandem with population expansion exacerbates this intricate dilemma, highlighting the shortcomings of conventional approaches to insect management. As climate change, the development of pest resistance, and the call for reduced chemical inputs intensify, a fundamental change in our approach to pest management becomes imperative. Revolutionizing Pest Management for Sustainable Agriculture , is an exploration into the convergence of technology and tradition, revealing how data-driven methodologies and state-of-the-art technologies are transforming the field of agricultural pest management. Revolutionizing Pest Management for Sustainable Agriculture serves as more than a compilation of developments; it is a strategic guide for policymakers, researchers, and farmers navigating the complexities of contemporary agriculture responsibly. With an objective to bridge the gap between traditional pest management and innovative technology, the book provides practical strategies, case studies, and valuable insights, inviting readers to explore the symbiotic relationship between technology and soil cultivation, paving the way for a paradigm shift in the agricultural industry. This carefully crafted resource is designed for a diverse audience, including agricultural researchers, Agri-tech professionals, policymakers, and educators, empowering them with the knowledge and resources needed to embrace smart solutions, contributing to increased productivity, reduced environmental impact, and the sustainability of agricultural systems.
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 778
Book Description
In the industry of agriculture, farmers are facing a challenge worldwide: the need to simultaneously achieve substantial crop yields and mitigate the adverse environmental effects caused by persistent threats from agricultural parasites. The escalating demand for food in tandem with population expansion exacerbates this intricate dilemma, highlighting the shortcomings of conventional approaches to insect management. As climate change, the development of pest resistance, and the call for reduced chemical inputs intensify, a fundamental change in our approach to pest management becomes imperative. Revolutionizing Pest Management for Sustainable Agriculture , is an exploration into the convergence of technology and tradition, revealing how data-driven methodologies and state-of-the-art technologies are transforming the field of agricultural pest management. Revolutionizing Pest Management for Sustainable Agriculture serves as more than a compilation of developments; it is a strategic guide for policymakers, researchers, and farmers navigating the complexities of contemporary agriculture responsibly. With an objective to bridge the gap between traditional pest management and innovative technology, the book provides practical strategies, case studies, and valuable insights, inviting readers to explore the symbiotic relationship between technology and soil cultivation, paving the way for a paradigm shift in the agricultural industry. This carefully crafted resource is designed for a diverse audience, including agricultural researchers, Agri-tech professionals, policymakers, and educators, empowering them with the knowledge and resources needed to embrace smart solutions, contributing to increased productivity, reduced environmental impact, and the sustainability of agricultural systems.
Mastering Elasticsearch
Author: Saravanan Kuppusamy
Publisher: Saravanan
ISBN: 9334059214
Category : Education
Languages : en
Pages : 338
Book Description
Welcome to Mastering Elasticsearch: A Comprehensive Guide. If you're reading this book, it's because you've recognized Elasticsearch's immense potential and are eager to utilize its power for your projects and organization. This guide is designed for data engineers, developers, architects, and anyone seeking to navigate the intricacies of Elasticsearch, empowering you to extract valuable insights from data efficiently. Mastering Elasticsearch serves as your definitive guide to unlocking the full potential of this powerful search engine, known for its versatility in managing modern data. Whether you're a developer, data engineer, or system architect, this book provides the skills to leverage Elasticsearch’s capabilities, giving you a critical edge in search and data analytics. Why Elasticsearch? In today's digital landscape, the sheer volume of data generated every second is staggering. We face the challenge of searching, analyzing, and making sense of this data to deliver actionable insights. Elasticsearch, a cornerstone of the ELK (Elasticsearch, Logstash, Kibana) stack, has emerged as a leading search and analytics engine, renowned for its speed, scalability, and flexibility. It powers systems from full-text search to complex, real-time analytics, handling massive datasets and providing mission-critical support to global organizations. This book takes you on a journey through the vast capabilities of Elasticsearch, from foundational concepts to advanced implementations. Whether you're setting up your first cluster or looking to fine-tune existing deployments, this guide will offer insights tailored to your needs. Foundational Understanding: We'll begin with a robust introduction to Elasticsearch's architecture, terminology, and basic operations. You'll understand how Elasticsearch indexes, searches, and maps data to provide rapid search results. Cluster Architecture: Gain a thorough understanding of Elasticsearch’s distributed architecture, from nodes and shards to clusters, and how these elements work together for horizontal scaling. Indexing Techniques: Learn about creating, managing, and optimizing indices, the cornerstone of Elasticsearch data storage, for efficient search operations. Intermediate Techniques: Building on this foundation, we'll delve into more advanced features such as aggregations, data visualization, and effective index management. We'll discuss geo queries, nested data structures, and how to optimize queries to handle complex data types. Advanced Topics: In the final section, you'll encounter specialized topics like performance tuning, scaling Elasticsearch clusters, and developing custom plugins. We'll explore practical strategies for enhancing security, setting up monitoring, and employing machine learning features to identify patterns and trends in your data. Advanced Querying and Aggregation: Query DSL: Master Elasticsearch’s Query Domain-Specific Language, enabling you to construct sophisticated queries that handle nuanced search requirements with precision. Aggregations: Dive deep into aggregation frameworks that provide powerful tools for real-time analytics, including complex aggregations like nested, scripted, and pipeline. Data Ingestion and Integration: Ingestion Pipelines: Explore ways to seamlessly ingest and transform data with Elasticsearch’s ingest nodes and processors. External Integrations: Implement data ingestion strategies using Logstash, Beats, and other ETL solutions to connect with various data sources. Indexing Strategy: Optimize indexing through sharding, replication, and customized mapping. Caching and Memory: Leverage caching mechanisms and JVM tuning to reduce latency and boost throughput. Security Practices: Implement robust security through authentication, authorization, and encryption to safeguard sensitive data. Monitoring and Troubleshooting: Use Kibana and other tools for real-time monitoring and diagnostics, ensuring high availability and minimizing downtime. Case Studies: Examine case studies that showcase Elasticsearch’s versatility, from e-commerce search solutions to log analytics and beyond. This book aims to cater to both newcomers and seasoned Elasticsearch users. If you're starting out, we'll guide you through initial setup and offer step-by-step instructions to implement core features. Experienced users will find fresh insights, best practices, and advanced techniques to elevate their Elasticsearch knowledge. The book is structured to offer a comprehensive understanding of Elasticsearch while maintaining accessibility. Each chapter provides practical examples, code snippets, and exercises that reinforce key concepts. By working through the examples, you'll gain the confidence to tackle real-world Elasticsearch projects, whether for search, analytics, or application logging. I wrote this guide with the intention of creating a one-stop resource for all things Elasticsearch. With constant evolution in the software and big data landscape, it's essential to stay updated with the latest practices and developments. This guide aims to cover both tried-and-tested fundamentals and emerging trends to ensure you're well-prepared for the challenges ahead. Finally, thank you for choosing this book. I'm thrilled to share my knowledge and insights with you as you begin your journey toward Mastering the Elasticsearch. Let's work together to fully unlock this incredible technology, enabling us to build faster, smarter, and more efficient applications. By the end of Mastering Elasticsearch, you'll have the expertise needed to design, implement, and manage scalable and secure search applications. You'll gain both theoretical understanding and practical insights, enabling you to tailor Elasticsearch to your organization's unique data management needs.
Publisher: Saravanan
ISBN: 9334059214
Category : Education
Languages : en
Pages : 338
Book Description
Welcome to Mastering Elasticsearch: A Comprehensive Guide. If you're reading this book, it's because you've recognized Elasticsearch's immense potential and are eager to utilize its power for your projects and organization. This guide is designed for data engineers, developers, architects, and anyone seeking to navigate the intricacies of Elasticsearch, empowering you to extract valuable insights from data efficiently. Mastering Elasticsearch serves as your definitive guide to unlocking the full potential of this powerful search engine, known for its versatility in managing modern data. Whether you're a developer, data engineer, or system architect, this book provides the skills to leverage Elasticsearch’s capabilities, giving you a critical edge in search and data analytics. Why Elasticsearch? In today's digital landscape, the sheer volume of data generated every second is staggering. We face the challenge of searching, analyzing, and making sense of this data to deliver actionable insights. Elasticsearch, a cornerstone of the ELK (Elasticsearch, Logstash, Kibana) stack, has emerged as a leading search and analytics engine, renowned for its speed, scalability, and flexibility. It powers systems from full-text search to complex, real-time analytics, handling massive datasets and providing mission-critical support to global organizations. This book takes you on a journey through the vast capabilities of Elasticsearch, from foundational concepts to advanced implementations. Whether you're setting up your first cluster or looking to fine-tune existing deployments, this guide will offer insights tailored to your needs. Foundational Understanding: We'll begin with a robust introduction to Elasticsearch's architecture, terminology, and basic operations. You'll understand how Elasticsearch indexes, searches, and maps data to provide rapid search results. Cluster Architecture: Gain a thorough understanding of Elasticsearch’s distributed architecture, from nodes and shards to clusters, and how these elements work together for horizontal scaling. Indexing Techniques: Learn about creating, managing, and optimizing indices, the cornerstone of Elasticsearch data storage, for efficient search operations. Intermediate Techniques: Building on this foundation, we'll delve into more advanced features such as aggregations, data visualization, and effective index management. We'll discuss geo queries, nested data structures, and how to optimize queries to handle complex data types. Advanced Topics: In the final section, you'll encounter specialized topics like performance tuning, scaling Elasticsearch clusters, and developing custom plugins. We'll explore practical strategies for enhancing security, setting up monitoring, and employing machine learning features to identify patterns and trends in your data. Advanced Querying and Aggregation: Query DSL: Master Elasticsearch’s Query Domain-Specific Language, enabling you to construct sophisticated queries that handle nuanced search requirements with precision. Aggregations: Dive deep into aggregation frameworks that provide powerful tools for real-time analytics, including complex aggregations like nested, scripted, and pipeline. Data Ingestion and Integration: Ingestion Pipelines: Explore ways to seamlessly ingest and transform data with Elasticsearch’s ingest nodes and processors. External Integrations: Implement data ingestion strategies using Logstash, Beats, and other ETL solutions to connect with various data sources. Indexing Strategy: Optimize indexing through sharding, replication, and customized mapping. Caching and Memory: Leverage caching mechanisms and JVM tuning to reduce latency and boost throughput. Security Practices: Implement robust security through authentication, authorization, and encryption to safeguard sensitive data. Monitoring and Troubleshooting: Use Kibana and other tools for real-time monitoring and diagnostics, ensuring high availability and minimizing downtime. Case Studies: Examine case studies that showcase Elasticsearch’s versatility, from e-commerce search solutions to log analytics and beyond. This book aims to cater to both newcomers and seasoned Elasticsearch users. If you're starting out, we'll guide you through initial setup and offer step-by-step instructions to implement core features. Experienced users will find fresh insights, best practices, and advanced techniques to elevate their Elasticsearch knowledge. The book is structured to offer a comprehensive understanding of Elasticsearch while maintaining accessibility. Each chapter provides practical examples, code snippets, and exercises that reinforce key concepts. By working through the examples, you'll gain the confidence to tackle real-world Elasticsearch projects, whether for search, analytics, or application logging. I wrote this guide with the intention of creating a one-stop resource for all things Elasticsearch. With constant evolution in the software and big data landscape, it's essential to stay updated with the latest practices and developments. This guide aims to cover both tried-and-tested fundamentals and emerging trends to ensure you're well-prepared for the challenges ahead. Finally, thank you for choosing this book. I'm thrilled to share my knowledge and insights with you as you begin your journey toward Mastering the Elasticsearch. Let's work together to fully unlock this incredible technology, enabling us to build faster, smarter, and more efficient applications. By the end of Mastering Elasticsearch, you'll have the expertise needed to design, implement, and manage scalable and secure search applications. You'll gain both theoretical understanding and practical insights, enabling you to tailor Elasticsearch to your organization's unique data management needs.
Advances in Data and Information Sciences
Author: Shailesh Tiwari
Publisher: Springer Nature
ISBN: 9819969069
Category : Technology & Engineering
Languages : en
Pages : 547
Book Description
This book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on June 16–17, 2023. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Publisher: Springer Nature
ISBN: 9819969069
Category : Technology & Engineering
Languages : en
Pages : 547
Book Description
This book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on June 16–17, 2023. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Intelligent Systems and Data Science
Author: Nguyen Thai-Nghe
Publisher: Springer Nature
ISBN: 981979613X
Category :
Languages : en
Pages : 338
Book Description
Publisher: Springer Nature
ISBN: 981979613X
Category :
Languages : en
Pages : 338
Book Description
Sustainable Development through Machine Learning, AI and IoT
Author: Pawan Whig
Publisher: Springer Nature
ISBN: 3031717295
Category :
Languages : en
Pages : 442
Book Description
Publisher: Springer Nature
ISBN: 3031717295
Category :
Languages : en
Pages : 442
Book Description
Impacts of Technology on Operations Management: Adoption, Adaptation, and Optimization
Author: Ullah, Asad
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 404
Book Description
The impact of technology on operations management reshapes how organizations approach adoption, adaptation, and optimization of their processes. As businesses integrate advanced technologies such as automation, data analytics, and artificial intelligence, they are revolutionizing operational efficiency. The adoption of these technologies helps streamline workflows while enhancing decision-making capabilities. Adaptation strategically implements these innovations to align with organizational needs, while optimization drives continuous improvement by enabling precise performance tracking and predictive analytics. More exploration into these technological advancements may assist businesses in refining their operations, reducing costs, and achieving greater competitive advantage in todays market. Impacts of Technology on Operations Management: Adoption, Adaptation, and Optimization examines the impact of technology on operations management within organizations. It explores solutions for business optimization, quality management, and product development using technology like AI, IoT, smart and digital technology, and data algorithms. This book covers topics such as circular economy, digital technology, and supply chains, and is a useful resource for computer engineers, managers, business owners, economists, scientists, academicians, and researchers.
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 404
Book Description
The impact of technology on operations management reshapes how organizations approach adoption, adaptation, and optimization of their processes. As businesses integrate advanced technologies such as automation, data analytics, and artificial intelligence, they are revolutionizing operational efficiency. The adoption of these technologies helps streamline workflows while enhancing decision-making capabilities. Adaptation strategically implements these innovations to align with organizational needs, while optimization drives continuous improvement by enabling precise performance tracking and predictive analytics. More exploration into these technological advancements may assist businesses in refining their operations, reducing costs, and achieving greater competitive advantage in todays market. Impacts of Technology on Operations Management: Adoption, Adaptation, and Optimization examines the impact of technology on operations management within organizations. It explores solutions for business optimization, quality management, and product development using technology like AI, IoT, smart and digital technology, and data algorithms. This book covers topics such as circular economy, digital technology, and supply chains, and is a useful resource for computer engineers, managers, business owners, economists, scientists, academicians, and researchers.
Artificial Intelligence: Theory and Applications
Author: Harish Sharma
Publisher: Springer Nature
ISBN: 9819984769
Category :
Languages : en
Pages : 495
Book Description
Publisher: Springer Nature
ISBN: 9819984769
Category :
Languages : en
Pages : 495
Book Description