Big Data Analytics in China's Electric Power Industry: Modern Information, Communication Technologies, and Millions of Smart Meters

2018 ◽  
Vol 16 (3) ◽  
pp. 54-65 ◽  
Author(s):  
Chongqing Kang ◽  
Yi Wang ◽  
Yusheng Xue ◽  
Gang Mu ◽  
Ruijin Liao
Keyword(s):  
Big Data ◽  
Electric Power ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Electric Power Industry ◽  
Communication Technologies ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Smart Meters ◽  
Modern Information

scholarly journals AI and Big Data Standardization: Contributing to United Nations Sustainable Development Goals

2020 ◽  
Author(s):  
Ray Walshe ◽  
Kevin Casey ◽  
Jane Kernan ◽  
Donal Fitzpatrick
Keyword(s):  
Sustainable Development ◽  
Big Data ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Emerging Technologies ◽  
Communication Technologies ◽  
International Standards ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Development Goals

Emerging Technologies like Artificial Intelligence (AI), Big Data, Internet of Things (IoT), Blockchain and 5G communications are innovation accelerators creating new products, processes and industries by disrupting the Information Communication Technologies status quo. International Standards Development Organisations (SDOs) and Standard Setting Organisations (SSOs) develop and evolve consensus documents of the state of the art and publish these international agreements as Standards. In this document the authors present uses cases where some of these emerging technologies can contribute significantly to achieving the United Nations Sustainable Development Goals.

Web Survey Methodology (WebSM) Portalatform

2007 ◽  
pp. 248-252
Author(s):  
Katja Lozar Manfreda ◽  
Vasja Vehovar
Keyword(s):  
Survey Research ◽  
Survey Methodology ◽  
Communication Technologies ◽  
Information Communication Technologies ◽  
Web Survey ◽  
Information Communication ◽  
Web Surveys ◽  
Modern Information ◽  
Scientific Meetings ◽  
Software Services

<div>The chapter describes a Web portal, dedicated to survey research, using modern information-communication technologies, especially the WWW. Although supported by EU since 2002, it provides worldwide visitors information on events (e.g., scientific meetings, calls for papers, projects), software, and literature on the methodology and implementation of Web surveys. The most valuable databases are the bibliography (including over 2,000 entries) and software/services databases (including over 500 entries).<br></div>

scholarly journals Usage of Big Data in decision making process in companies

2017 ◽  
Vol 6 (2) ◽  
pp. 68-75
Author(s):  
Gabriel Koman
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Rapid Development ◽  
Communication Technologies ◽  
Information Value ◽  
Decision Making Process ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Significant Information ◽  
Utility Companies

The rapid development in the field of information-communication technologies, which has been recorded in recent years, it has caused an increase in the volume of data in companies last year about 40 to 50% [1]. By analysing large amounts of data, it is possible to get information that is important for the enterprise and on the basis of which it is possible to improve the decision-making process for managers. The main problems in the management and decision-making of enterprises is constantly growing amount of data generated within the undertaking and its surroundings. These data reach the volumes and structures, which is not possible from the time and cost to manage through the current management information systems. The fastest increasing volumes of data are unstructured data, which may contain data with significant information value, for the purposes of decision making in the enterprise. In the light of the principle of the processing of data in the existing MIS, i.e. the processing of structured data, such as data capture, utility companies have to transform and analyse. The question of how to process and integrate data of different types of technology, solves the Big Data. This technology allows to handle different kinds of data, from a variety of data sources, in a very short amount of time (in milliseconds). 

scholarly journals Methodology of Training Students in Design and Modeling of Clothes Using Information Communication Technologies

2021 ◽  
Vol 11 (2) ◽  
pp. 749-755
Author(s):  
Umarova Fotima Abdurahimovna
Keyword(s):  
Learning Process ◽  
Teaching Methods ◽  
Professional Education ◽  
Communication Technologies ◽  
Educational Process ◽  
Deep Penetration ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Information And Communication ◽  
Modern Information

The purpose of this article is to develop a methodology for the development of competence in the design and modeling of clothing for university students through the use of information and communication technologies, its introduction into the educational process and increase the effectiveness of education. This article discusses the issues of improving students' knowledge and skills, interest in the learning process and the ability to apply their knowledge in practice in the future, using modern information and communication technology tools in the training of design professionals. Emphasis will be placed on developing and implementing a new teaching method aimed at enhancing the competence of design students in designing and modeling clothing. The role and perspectives of teachers are very important and they are highlighted as key participants in the process. The data show that, the using authoring technology of SCADEduWeb and information communication technologies in the educational process on the basis of interactive teaching methods, that allow students of professional education to effectively teach the design and modeling of clothing through the design of innovative digital tools, modeling creative and reflexive approaches helps to increase the effectiveness of education and facilitates the organization of the learning process. In particular, it shows that the contribution of information communication technologies to the improvement of the educational process in educational institutions, where information communication technologies are an innovative factor. Authoring technology of SCADEduWeb allows each student to achieve good results through independent, creative thinking at each stage of mastering the subject "Design and modeling of sewing objects". Achieving this high level will lead the educational institution not only to modernize the technological tools, but also to change the teaching models. In order to achieve development, we need to master digital knowledge and modern information technologies, use new teaching methods. This allows us to take the shortest path. Indeed, the deep penetration of information technology into all parts of the world today is creating new opportunities.

Big Data Analytics: The Next Big Thing

2019 ◽  
Vol 54 (5) ◽  
pp. 20
Author(s):  
Dheeraj Kumar Pradhan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

The use of Information Technology as Tools of Developing Educational Communications for Realizing the Personal Potential of University Students

2020 ◽  
pp. 81-92
Author(s):  
Andrey Ivanovich Shutenko ◽  
◽  
Elena Nikolaevn Shutenko ◽  
Julia Petrovna Derevyanko ◽  
◽  
...  
Keyword(s):  
Communication Technologies ◽  
Developmental Model ◽  
Learning Activity ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Theoretical Terms ◽  
Higher Education System ◽  
Leading Role ◽  
Informational Environment

The article is devoted to the problem of educational communications development as a sphere of implementation of modern information-communication technologies in the higher education system. The purpose of the article is to present the structure and functions of educational communications aimed at the development of personal potential and self-realization of students. Methodology. The study is based on the methodology of personal and communicative-informational approaches in education, psychological-pedagogical provisions on the structure of communication, the leading role of learning activity, didactic principles of building an educational-informational environment. In theoretical terms, the study is based on the idea of the indirect implementation of ICT in education through the development of educational communications. The developing structure of educational communications, including didactic, informational-gnostic, interactive, psychological, attractive-motivational, value-semantic components, is presented. The possibilities of developing personal potential in educational communications are considered. The author’s developmental model of ICT functions is presented, which includes clusters of actual and latent functions aimed at the formation of information-educational space for the development of students’ personal potential. In conclusion, a inference was made about the prospects of the indirect introduction of modern ICT as tools for the development and functioning of various educational communications. At the same time, it is essential that these communications perform psychological and pedagogical tasks and functions.

Strategy in Discovery Mode - Wie Big Data & Analytics strategisches Denken verdrängen kann

2020 ◽  
Vol 49 (5) ◽  
pp. 11-17
Author(s):  
Thomas Wrona ◽  
Pauline Reinecke
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Big Data & Analytics (BDA) ist zu einer kaum hinterfragten Institution für Effizienz und Wettbewerbsvorteil von Unternehmen geworden. Zu viele prominente Beispiele, wie der Erfolg von Google oder Amazon, scheinen die Bedeutung zu bestätigen, die Daten und Algorithmen zur Erlangung von langfristigen Wettbewerbsvorteilen zukommt. Sowohl die Praxis als auch die Wissenschaft scheinen geradezu euphorisch auf den „Datenzug“ aufzuspringen. Wenn Risiken thematisiert werden, dann handelt es sich meist um ethische Fragen. Dabei wird häufig übersehen, dass die diskutierten Vorteile sich primär aus einer operativen Effizienzperspektive ergeben. Strategische Wirkungen werden allenfalls in Bezug auf Geschäftsmodellinnovationen diskutiert, deren tatsächlicher Innovationsgrad noch zu beurteilen ist. Im Folgenden soll gezeigt werden, dass durch BDA zwar Wettbewerbsvorteile erzeugt werden können, dass aber hiermit auch große strategische Risiken verbunden sind, die derzeit kaum beachtet werden.

A Review on Big Data Analytics Tools in Context with Scalability

2019 ◽  
Vol 7 (2) ◽  
pp. 273-277
Author(s):  
Ajay Kumar Bharti ◽  
Neha Verma ◽  
Deepak Kumar Verma
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics
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