Ankur Gupta – författare

Nanostructured materials exhibit distinct properties by virtue of their nanoscale morphological variations, which open up endless possibilities to investigate unexplored and interesting applications. This textbook broadly covers the fabrication and characterization of nanostructured films and exploration of their gas-sensing applications. It presents the fundamentals of gas-sensing technology and a comprehensive study on smart gas sensing technology. Readers will find basics, analytical techniques, nanotechnology-enabled experimental findings, and future directions of smart gas-sensing technology at one place. Through the inclusion of up-to-date experimental knowledge of synthesis, processing, and application development, the book is suitable for academics at all levels.

Nanostructured materials exhibit distinct properties by virtue of their nanoscale morphological variations, which open up endless possibilities to investigate unexplored and interesting applications. This textbook broadly covers the fabrication and characterization of nanostructured films and exploration of their gas-sensing applications. It presents the fundamentals of gas-sensing technology and a comprehensive study on smart gas sensing technology. Readers will find basics, analytical techniques, nanotechnology-enabled experimental findings, and future directions of smart gas-sensing technology at one place. Through the inclusion of up-to-date experimental knowledge of synthesis, processing, and application development, the book is suitable for academics at all levels.

This book covers the whole range of gas sensing aspects starting from basics, synthesis, processing, characterization, and application developments. All sub-topics within the domain of gas sensors such as active materials, novel nanomaterials, working mechanisms, fabrication techniques, computational approach, and development of microsensors, and latest advancements such as the Internet of Things (IoT) in gas sensors, and nanogenerators, are explained as well. Related manufacturing sections and proposed direction of future research are also reviewed.

Features:

This book is aimed at academic researchers and professionals in sensors and actuators, nanotechnology, and materials science.

This book covers the whole range of gas sensing aspects starting from basics, synthesis, processing, characterization, and application developments. All sub-topics within the domain of gas sensors such as active materials, novel nanomaterials, working mechanisms, fabrication techniques, computational approach, and development of microsensors, and latest advancements such as the Internet of Things (IoT) in gas sensors, and nanogenerators, are explained as well. Related manufacturing sections and proposed direction of future research are also reviewed.

Features:

This book is aimed at academic researchers and professionals in sensors and actuators, nanotechnology, and materials science.

The proceedings of the 2nd International Conference on Next-Generation Computing and Information Systems (ICNGCIS''23) includes research papers in diverse emerging domains such as AI, blockchain, web 3.0, metaverse and edge computing apart from traditional domains such as distributed computing and networks and cybersecurity.

The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings encompass findings with real-world implications for the growth and evolution of modern computing and information systems by addressing various challenges related to their design, deployment, operational aspects, performance and shortcomings.

The intended audience for the proceedings of ICNGCIS''23 include researchers from industry and academia, practitioners, students, technology enthusiasts and even general audience looking to explore interesting applications, use-cases and fundamental issues in modern computing and information systems.

The proceedings of the 2nd International Conference on Next-Generation Computing and Information Systems (ICNGCIS''23) includes research papers in diverse emerging domains such as AI, blockchain, web 3.0, metaverse and edge computing apart from traditional domains such as distributed computing and networks and cybersecurity.

The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings encompass findings with real-world implications for the growth and evolution of modern computing and information systems by addressing various challenges related to their design, deployment, operational aspects, performance and shortcomings.

The intended audience for the proceedings of ICNGCIS''23 include researchers from industry and academia, practitioners, students, technology enthusiasts and even general audience looking to explore interesting applications, use-cases and fundamental issues in modern computing and information systems.

The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable.

The research in the book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers’ choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models were utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.

Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet’s possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems’ deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.

The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable.

The research in the book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers’ choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models were utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.

Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet’s possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems’ deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.

Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, Practical Hive gives you a detailed treatment of the software.

In addition, this book discusses the value of open source software, Hive performance tuning, and how to leverage semi-structured and unstructured data. 

What You Will Learn

Who This Book Is For

Developers, companies, and professionals who deal with large amounts of data and could use software that can efficiently manage large volumes of input. It is assumed that readers have the ability to work with SQL. 

A strategy is a blueprint of actions taken by managers to achieve the organization’s mission and vision and other long-term goals. In long term, strategy determines the success of an organization. While evaluating strategy, a company is essentially asking itself, “Where we are heading to and how we will achieve our goals?” Strategy Analytics is a relatively new field in conjunction with Strategic Management and Business Intelligence. Generally, Strategic Management field deals with the enhancement of the decision-making capabilities of managers. Typically, such decision-making processes are heavily dependent upon various internal and external reports. Managers need to develop their strategies using clear strategy processes supported by the increasing availability of data. This situation calls for a different approach to strategy, such as integration with analytics, as the science of extracting value from data and structuring complex problems. The term Strategic Analytics implies decisions are made, resources are invested, and plans for data and analytics are created based on the needs and critical questions a business is facing. The need for analytical solutions in today’s business environment is crucial because they allow users to think strategically about how an organization builds its core competencies and creates value. This not only informs the entire process, saves a lot of time, effort, and money, but also leads to value creation.

This book will be one reference source to academic fraternity, management practitioners, business analysts and research students who are interesting in Strategic Analytics domain and using it in their research/practice work. In addition, the proposed book will be serving as state-of-art documentation of Strategy Analytics, its present role around organizational outcomes and outlines the need for greater integration in organization strategy and analytics for better strategic decision processes to measure corporate performance and business value creation.

Distinguished Features of the proposed book