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Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, [1] known as the Internet of things. [2] The term emerged in 2012 along with the concept of "Industry 4.0”, and refers to big data”, popular in information technology marketing, in that data created by industrial equipment might hold more potential business value. [3]
The largest project in Industry 4.0 as of July 2013 is the German Federal Ministry of Education and Research (BMBF) leading-edge cluster "Intelligent Technical Systems Ostwestfalen-Lippe (its OWL)". Another major project is the BMBF project RES-COM, [ 77 ] as well as the Cluster of Excellence "Integrative Production Technology for High-Wage ...
This is a valuable data source for Industry 4.0 to continuously improve the product design in the “NDE for Industry 4.0” process. [ 10 ] [ 18 ] Third, immersive training experiences, remote operation, intelligence augmentation, and data automation can enhance the NDE value proposition in terms of inspector safety and human performance in ...
Illustration of Industry 4.0, showing the four "industrial revolutions" with a brief English description. Industrial sociology, until recently a crucial research area within the field of sociology of work, examines "the direction and implications of trends in technological change, globalization, labour markets, work organization, managerial practices and employment relations" to "the extent to ...
It is a similar concept to industry 4.0, applied to value chain. The proponents of Service 4.0 claim that it is a major opportunity for service companies to make a leap forward in terms of efficiency and effectiveness, and an opportunity for service users to discover and benefit from new features, impossible to be delivered before this disruption.
Choosing a research question is an essential element of both quantitative and qualitative research. Investigation will require data collection and analysis, and the methodology for this will vary widely. Good research questions seek to improve knowledge on an important topic, and are usually narrow and specific. [1]
data could be transmitted nightly to sponsors, thereby improving the sponsor's ability to monitor the progress and status of the research study and its patients These early RDE systems used " thick client " software—software installed locally on a laptop computer's hardware—to collect the patient data.
The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...