Bücher von Ajit Singh

The book "Lightweight Gas and Aerosol Analyzer" by Ajit Singh is an essential guide for anyone interested in air quality and pollution monitoring. The book describes a portable instrument that can be used for real-time measurements of gases and aerosols. The lightweight design makes it easy to carry and use in various applications such as environmental, occupational, health, and safety monitoring. The book covers the sensing technology used in the analyzer, which includes ionization and mass spectrometry for measuring particles' concentration, size, and distribution. The book also explains the sampling inlet and flow control mechanisms, which are crucial for obtaining accurate and precise measurements. The analyzer's calibration procedures are described in detail, ensuring that the measurements are reliable and consistent. The book also discusses the data logging capabilities of the analyzer, which allows for wireless connectivity and user-friendly software for data analysis and interpretation. The book covers the various applications of the analyzer, including industrial hygiene, research and development, and fieldwork. The analyzer's hazard control capabilities are also covered, making it useful for monitoring hazardous chemicals, emissions, and ventilation. Overall, this book is a comprehensive guide to the Lightweight Gas and Aerosol Analyzer, covering its various features and capabilities. It is a valuable resource for anyone working in air quality and pollution monitoring, providing practical information and guidance for compliance with regulations and standards.

Scientific Study from the year 2017 in the subject Medicine - Orthopedy, grade: 90.99, Aligarh Muslim University (JLN Medical College), course: MS, language: English, abstract: This work provides a comprehensive overview of the study "Arthroscopic treatment of common shoulder pathologies", which deals with the role of arthroscopy in the diagnosis and treatment of various shoulder diseases. It is ideal for professionals, students and researchers in the field of orthopaedics and sports medicine.The study begins with a thorough introduction to the subject and looks at the detailed anatomy of the shoulder complex. This is followed by a discussion of the biomechanics of the shoulder, which is essential for understanding pathologies and their treatment. A comprehensive literature review presents previous research findings and forms the basis for the subsequent discussion of the fundamentals of shoulder arthroscopy, including positioning and portal anatomy.The study describes the arthroscopic anatomy of the shoulder joint in detail, which is essential for the practical application of arthroscopy. Methods used in the study are explained in a separate chapter. This is followed by an analysis based on the age and gender of the patients, which helps to identify specific risk factors.The discussion and analysis of the results provides new insights into the effectiveness of arthroscopic treatment. Finally, the key findings are summarised and conclusions drawn, followed by an extensive reference section that underpins the scientific depth of the study.

Research Paper (postgraduate) from the year 2018 in the subject Computer Science - Internet, New Technologies, grade: 8.78, , course: MCA, language: English, abstract: Development of big data and IoT is rapidly increasingly and affecting all the major technologies and the business by increasing the benefits for the individual and organisations. The increasing growth of data of IoT devices has played a major role for use of Big Data. Big data is categorize into three aspects (a) Variety (b) Volume (c) Velocity. These categories are introduced by Gartner to describe the elements of big data challenges. Various opportunities are presented by the capability to analyze and utilize huge amounts of IoT data, including applications in smart cities, smart transport and grid systems, energy smart meters, and remote patient healthcare monitoring devices. The more popularity of Internet of Things day by day has made a big data analytics challenging because of the processing and collection of data through different sensors in the IoT network. The data are totally different from normal big data collected through systems in terms of characteristics because of the various sensors and objects involved during data collection, which include heterogeneity, noise, variety, and rapid growth.

Research Paper (postgraduate) from the year 2019 in the subject Computer Science - Software, , course: MCA, language: English, abstract: In this paper, I describe the outcomes of the work of the Scholarly Link Exchange (Scholix) working group and the Data Usage Metrics working group. The Scholix working group developed a framework that allows organizations to expose and discover links between articles and datasets, thereby providing an indication of data citations. The Data Usage Metrics group works on a standard for the measurement and display of Data Usage Metrics. Here I explain how publishers and data repositories can contribute to and benefit from these initiatives. Together, these contributions feed into several hubs that enable data repositories to start displaying DLMs. Once these DLMs are available, researchers are in a better position to make their data count and be rewarded for their work. Over the last years, many organizations have been working on infrastructure to facilitate sharing and reuse of research data. This means that researchers now have ways of making their data available, but not necessarily incentives to do so. Several Research Data Alliance (RDA) working groups have been working on ways to start measuring activities around research data to provide input for new Data Level Metrics (DLMs). These DLMs are a critical step towards providing researchers with credit for their work.

This book contains research papers about Big Data Science, IoT, Data Analytics, Data Visualisation, Cloud and Edge Computing.

Questo libro contiene articoli di ricerca su Big Data Science, IoT, Data Analytics, Data Visualisation, Cloud e Edge Computing.

Document from the year 2019 in the subject Business economics - Business Management, Corporate Governance, , course: MCA, language: English, abstract: This work is about how lately Agile and especially Scrum have become more and more popular. A lot of people in higher management see the agile way of working as the key to success. But is this actually true? Have we found the silver bullet? Can every individual work in an agile way? If yes, does this mean that the team that he is part of will also adopt and use the agile way of working and thinking successfully? All those questions triggered this research.One of the first questions we ask ourselves for each of our project implementations is "Which development methodology should we use?". This is a topic that gets a lot of discussion as it¿s the way of organizing the work for the project and not as often misinterpreted about a style of project management or a specific technical approach. The two basic and most popular methodologies are: 1.Waterfall: which is known as the "traditional" approach, and 2.Agile: a specific type of Rapid Application Development and newer than Waterfall, but not that new, which is often implemented using Scrum. Both are usable, mature methodologies.I started by providing basic information about both methodologies (Waterfall and Agile). I try to make the differences between the two methodologies visible and by giving more emphasis to the second one i present the history behind the methodology, the advantages and disadvantages and i try to come to a conclusion on what is agile and what is not. Next, at section two i briefly present the basic Agile Methods and Practices. I continue with section 3, that i explain Scrum and all the ceremonies and roles related to this methodology.

Este livro contém artigos de investigação sobre Big Data Science, IoT, Data Analytics, Data Visualisation, Cloud and Edge Computing.

This book aims to describe how data analytics works for big data and how they are used in business. It gives an overview of existing technologies and approaches to building data analytics infrastructures. It also defines points that should be taken into consideration while choosing the most suitable software solution for a particular use case. The research is done by studying architectural principles of big data sytems and investigating the market of data analytics software. The result of this work is a composite report including comparison of several technologies and a list of criteria considered. The final report can be used as a guideline for choosing the most suitable technology for implementing an analytical platform in a broad variety of organizations.

Ajit Singh untersucht im Kontext des leistungsorientierten Nachwuchstrainings im Trampolinturnen, wie die Vermittlung von Körper- und Bewegungswissen durch Trainerinnen und Trainer sowie Athletinnen und Athleten gemeinsam koordiniert wird. Ausgangspunkt ist die These, dass Körper in einer Weise sinnhaft handeln und kommunizieren, die (methodisch) beobachtet, interpretiert und verstanden werden kann. Die videographische Studie verdeutlicht, dass die kommunikative Vermittlung von Körperwissen im Sport einer komplexen Orchestrierung unterschiedlicher Modalitäten unterliegt. Dabei reichen die verkörperten Wissensformen von grundlegenden Bewegungsfolgen bis hin zu Körperspannung, Zeitgefühl oder Konzentrationsfähigkeit. Anhand feingliedriger Interaktionsanalysen wird aufgezeigt, dass die gemeinsamen Abstimmungen durch Zeigen, Imaginieren, Re- und Preenactment und andere Formen der Wissenskommunikation kein Beiwerk sind, sondern in sozialer Hinsicht wesentlich für das, was sich in Trainingssituationen als kommunikative Konstruktion von Körperwissen realisiert. Der Inhalt. Körper-, Wissens- und Interaktionssoziologie. Körperwissen und Visualität. Sportliches Training und Wissenskommunikation. Videographie von Trainingssituationen Die Zielgruppen. Dozierende und Studierende der Soziologie, Linguistik, Sport- und Kommunikationswissenschaft . Expertinnen und Experten der TrainingspraxisDer AutorDr. Ajit Singh ist wissenschaftlicher Mitarbeiter am Leibniz-Institut für Raumbezogene Sozialforschung (IRS) in Erkner.