Ramesh C. – författare

New tools and technologies are being developed to cater to the e-learning triangle of content, technology, and services. These developments (in technology, needs of students, emergence of new modes of education like MOOCs or flipped classrooms, etc.) have resulted in a change in the approach to teaching. Innovative Applications of Online Pedagogy and Course Design is a critical publication that explores e-learning as a tool for instructional delivery across various kinds of educational institutions and at all levels. Featuring coverage on a wide range of topics such as distance education, cumulative sentence analysis, and primary teacher training, this book is geared toward educators, professionals, school administrators, researchers, and practitioners seeking current and relevant research on instructional design and delivery in online and technology-based courses.

In order to meet food needs, farmers need to integrate the latest technologies enabling them to make more informed decisions. Smart Farming Technologies for Sustainable Agricultural Development provides innovative insights into the latest farming advancements in terms of informatics and communication. The content within this publication represents the work of topics such as sensor systems, wireless communication, and the integration of the Internet of Things in agriculture-related processes. It is a vital reference source for farmers, academicians, researchers, government agencies, technology developers, and graduate-level students seeking current research on smart farming technologies.

With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.