ITSDI (IAIC Transactions on Sustainable Digital Innovation) is a scientific journal organized by Pandawan & Aptikom Publisher and supported by IAIC (Indonesian Association on Informatics and Computing). ITSDI is published twice a year, every April and October

ITSDI (IAIC Transactions on Sustainable Digital Innovation) is a scientific journal organized by Pandawan & Aptikom Publisher and supported by IAIC (Indonesian Association on Informatics and Computing). ITSDI is published twice a year, every April and October

ITSDI (IAIC Transactions on Sustainable Digital Innovation) is a scientific journal organized by Pandawan & Aptikom Publisher and supported by IAIC (Indonesian Association on Informatics and Computing). ITSDI is published twice a year, every April and October

Market_Desc: Undergraduate and graduate students on Computing and Internet related degrees; web software developers, web designers and project managers Special Features: Defines an important new vocational discipline, popular with students" Offers teachers a viable alternative to teaching outmoded software engineering (a market of 100,000+ students)" Covers business aspects, market drivers and site design reflecting interdisciplinary influences on web application development" Complements existing technology-oriented books with an engineering approach About The Book: This book seeks to motivate students in this new discipline, using concepts, methods, techniques and tools to demonstrate how to design, implement and test web applications. The book also demonstrates the distinctions between software engineering and web engineering: The shorter lead times that Web Engineering has compared to its software counterpart; whilst demonstrating the rapid prototyping and agile methods of development needed to meet these criteria. Web Engineering also features a constant focus on interactivity, with a far greater emphasis on multimedia than its software counterpart. The book highlights the importance of the HCI and interface aspects of Web Engineering, and their importance to the visual nature of the medium.Yet the text also also highlights the need to examine and re-use the body of knowledge found within Software Engineering. This book demonstrates how to use that knowledge within the web environment, in order to achieve a highly disciplined and methodical means of producing web based software.

Explores some of the historical antecedents of the current position of science in the lives of younger children. Current teaching practice is examined and on this basis speculations are made about the future direction of this subject.

The Tactile Internet will change the landscape of communication by introducing a new paradigm that enables the remote delivery of haptic data. This book answers the many questions surrounding the Tactile Internet, including its reference architecture and adapted compression methods for conveying haptic information. It also describes the key enablers for deploying the applications of the Tactile Internet. As an antecedent technology, the IoT is tackled, explaining the differences and similarities between the Tactile Internet, the Internet of Things and the Internet of Everything. The essentials of teleoperation systems are summarized and the challenges that face this paradigm in its implementation and deployment are also discussed. Finally, a teleoperation case study demonstrating an application of the Tactile Internet is investigated to demonstrate its functionalities, architecture and performance.

As the internet and new online technologies are becoming embedded in everyday life, there are increasing questions about their social implications and consequences. This text addresses these risks in relation to children.

This book offers a magisterial overview on children and television from the accumulated global literature in this field of the past 50 years, combining both the American tradition, influenced heavily by developmental psychological studies, as well as the European tradition, characterized by more sociological and cultural studies perspectives to the field. Similarly, it draws together a methodological diversity from both the quantitative – experimental and survey research, together with the qualitative – ethnographic and interview – research of children and television. With a distinctively international approach, Children and Television highlights the global perspective in each of the chapters, balancing the need to contextualize television in children’s lives in their unique cultural spaces, as well as searching for universal understandings that hold true for children around the world.

This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.

Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.