The Role of Computer Science and Software Technology in Organizing Universities for Industry 4.0 and Beyond

Akşit, Mehmet

doi:10.15439/2018f002

Cited by 9 publications

(10 citation statements)

References 23 publications

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“…The priorities, problems, and perspectives of development of universities in the conditions of Industry 4.0 are studied in detail in various works. Akşit (2018) points out the important role of computer sciences and program technologies in organization of universities for Industry 4.0. Kazimirov (2018) thinks that universities -in the conditions of Industry 4.0 -occupy a new position in the national system of value creation: they turn from suppliers of production factors in the economy to suppliers of top-priority products (educational services) and into sources of competitive advantages of Industry 4.0.…”

Section: Literature Reviewmentioning

confidence: 99%

Quality as the Basis of Effective Management of the Educational Market and a Goal of Development of Universities in the Conditions of Industry 4.0

Nabokikh¹,

Ryattel²,

Sanovich³

et al. 2020

IJQR

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The purpose of the article is to evaluate the effectiveness of managing the educational markets in the countries of the world that have the highest global competitiveness in the sphere of education, to determine and compare the factors of development of universities in the conditions of Industry 4.0 in these countries, and to develop recommendations for increasing the effectiveness of managing the educational market. For evaluating the effectiveness of managing the educational market, the authors' method is used, which is based on the classical formula of measuring effectiveness as a ratio of results and costs. For evaluating the susceptibility of the indicators of development of universities in the conditions of Industry 4.0 to the influence of various factors, the authors use the method of correlation analysis and the method of calculation of direct average. The information and analytical basis of the research includes the analytical and rating materials of CWUR, Legatum Institute, Online learning consortium, QS, Times Higher Education (THE) and World Bank for 2019. It is substantiated that quality is the basis of effective management of the educational market and is a goal of development of universities in the conditions of Industry 4.0. Growth of the volume of state financing of education and improvement of the macroeconomic environment will allow achieveing internationalization of education, but they have small influence on its results. Quality of education determines the effectiveness of the national market of education, but is hardly managed at the level of macro-economy.

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Section: Literature Reviewmentioning

confidence: 99%

Quality as the Basis of Effective Management of the Educational Market and a Goal of Development of Universities in the Conditions of Industry 4.0

Nabokikh¹,

Ryattel²,

Sanovich³

et al. 2020

IJQR

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“…Also, semantically integrating computable design rationale with self-adaptive models (i.e. hermeneutics [13]) offers new perspectives. A more comprehensive analysis of the future of software engineering can be found in [13].…”

Section: Problem-domain (Pd) Driven Vs Solution-domain (Sd) Drivmentioning

confidence: 99%

Preface

2020

2020 Turkish National Software Engineering Symposium (UYMS)

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“…The Fourth Industrial Revolution (Industry 4.0) has opened space for research and development of new manufacturing methods, systems and equipment based on innovations such as computing intelligence, autonomous robots, big data, augmented reality, process simulation, quality management systems, etc. [1].…”

Section: Introductionmentioning

confidence: 99%

Using Entropy for Welds Segmentation and Evaluation

Haffner

Kučera

Drahoš

et al. 2019

Entropy

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In this paper, a methodology based on weld segmentation using entropy and evaluation by conventional and convolution neural networks to evaluate quality of welds is developed. Compared to conventional neural networks, there is no use of image preprocessing (weld segmentation based on entropy) or data representation for the convolution neural networks in our experiments. The experiments are performed on 6422 weld image samples and the performance results of both types of neural network are compared to the conventional methods. In all experiments, neural networks implemented and trained using the proposed approach delivered excellent results with a success rate of nearly 100%. The best results were achieved using convolution neural networks which provided excellent results and with almost no pre-processing of image data required.

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The Role of Computer Science and Software Technology in Organizing Universities for Industry 4.0 and Beyond

Cited by 9 publications

References 23 publications

Quality as the Basis of Effective Management of the Educational Market and a Goal of Development of Universities in the Conditions of Industry 4.0

Quality as the Basis of Effective Management of the Educational Market and a Goal of Development of Universities in the Conditions of Industry 4.0

Preface

Using Entropy for Welds Segmentation and Evaluation

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