This book describes and outlines the theoretical foundations of system simulation in teaching, and as a practical contribution to teaching-and-learning models. It presents various methodologies used in teaching, the goal being to solve real-life problems by creating simulation models and probability distributions that allow correlations to be drawn between a real model and a simulated model. Moreover, the book demonstrates the role of simulation in decision-making processes connected to teaching and learning.
Digital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analytical methods. Deep Learning is one of the latest efficient and feasible solutions that enable smart devices to function independently with a decision-making support system. Convergence of Deep Learning and Internet of Things: Computing and Technology contributes to technology and methodology perspectives in the incorporation of deep learning approaches in solving a wide range of issues in the IoT domain to identify, optimize, predict, forecast, and control emerging IoT systems. Covering topics such as data quality, edge computing, and attach detection and prediction, this premier reference source is a comprehensive resource for electricians, communications specialists, mechanical engineers, civil engineers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.
This book offers a comprehensive review of smart technologies and perspectives on their application in urban engineering. It covers a wide range of applications, from transport and energy management to digital manufacturing, smart city, environment, and sustainable development, providing readers with new ideas for future research and collaborations. This book presents select papers from the International Conference on Smart Technologies in Urban Engineering (STUE-2022), held to commemorate the 100th anniversary of the O.M. Beketov National University of Urban Economy in Kharkiv, Ukraine, on June 9–11, 2022. All the contributions offer plenty of valuable information and would be of great benefit to the experience exchange among scientists in urban engineering.
This second volume of the three-volume set (CCIS 1193, CCIS 1194, and CCIS 1195) constitutes the refereed proceedings of the First International Conference on Applied Technologies, ICAT 2019, held in Quito, Ecuador, in December 2019. The 124 full papers were carefully reviewed and selected from 328 submissions. The papers are organized according to the following topics: technology trends; computing; intelligent systems; machine vision; security; communication; electronics; e-learning; e-government; e-participation.
Statistical methods are now widely used in different fields such as Business and Management, Economics, Biological, Physical sciences and including the new fields such as Data Science and Machine Learning. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. This book deals with the statistical methods which are useful in Business and Management decision making. The methods include Probability, Sampling, Correlation, Regression and Hypothesis Testing, Time Series, Forecasting and Non-Parametric tests and advanced statistical models. The book uses open source R statistical software to carry out different statistical analysis with sample datasets. This book is third in series of Statistics books by the Author. Some of the contents are adopted from the author’s previous statistical book introduction to statistical methods and non-parametric methods.
Globalization, digitalization, and a rapid technological development of many areas of life and society, bring humanity to another level of development. Changes in the educational organizations are inevitable and the university must meet new requirements in a new paradigm (Gafurov, Safiullin, Akhmetshin, Gapsalamov, & Vasilev, 2020). Universities, as institutions capable of thinking the future, assume an increasingly relevant role at the level of the growing importance of science and its social and economic impact. In this line of thought, their metamorphosis should be promoted. This renewal requires four movements: from employability to general, humanistic, and scientific education; from the excellence of academic productivism to the valorisation of pedagogy and teaching and training work; from entrepreneurialism to a sense of community; from entrepreneurship to public responsibility (Nóvoa, 2019).
The 8th ERCIM Workshop “User Interfaces for All” was held in Vienna, Austria, on 28–29 June 2004, building upon the results of the seven previous workshops held in Heraklion, Crete, Greece, 30–31 October 1995; Prague, Czech Republic, 7–8 Nov- ber 1996; Obernai, France, 3–4 November 1997; Stockholm, Sweden, 19–21 October 1998; Dagstuhl, Germany, 28 November – 1 December 1999; Florence, Italy, 25–26 October 2000; and Paris (Chantilly), France, 24–25 October 2002. The concept of “User Interfaces for All” targets a proactive realization of the “- signforall”principleinthe?eldofhuman-computerinteraction(HCI),andinvolvesthe developmentof user interfaces to interactiveapplicationsand e-services, which provide universalaccess andusabilityto potentiallyall users. In thetraditionofits predecessors, the 8th ERCIM Workshop “User Interfaces for All” aimed to consolidate recent work and to stimulate further discussion on the state of the art in “User Interfaces for All” and its increasing range of applications in the upcoming Information Society. The emphasis of the 2004 event was on “User-Centered Interaction Paradigms for Universal Access in the Information Society. ” The requirement for user-centered u- versal access stems from the growing impact of the fusion of the emerging techno- gies and from the different dimensions of diversity that are intrinsic to the Information Society. These dimensions become evident when considering the broad range of user characteristics, the changing nature of human activities, the variety of contexts of use, the increasing availability and diversi?cation of information, knowledge sources and e-services, the proliferation of technological platforms, etc.
