Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 4
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The evolution of the economy and the formation of Industry 4.0 lead to an increase in the importance of intangible assets and the digitization of all processes at energy enterprises. This involves the use of technologies such as the Internet of Things, Big Data, predictive analytics, cloud computing, machine learning, artificial intelligence, robotics, 3D printing, augmented reality etc. Of particular interest is the use of artificial intelligence in the energy sector, which opens up such prospects as increased safety in energy generation, increased energy efficiency, and balanced energy-generation processes. The peculiarity of this particular instrument of Industry 4.0 is that it combines the processes of digitalization and intellectualization in the enterprise and forms a new part of the intellectual capital of the enterprise. The implementation of artificial intelligence in the activities of energy companies requires consideration of the features and stages of implementation. For this purpose, a conceptual model of artificial intelligence implementation at energy enterprises has been formed, which contains: the formation of the implementation strategy; the design process; operation and assessment of artificial intelligence. The introduction of artificial intelligence is a large-scale and rather costly project; therefore, it is of interest to assess the effectiveness of using artificial intelligence in the activities of energy companies. Efficiency measurement is proposed in the following areas: assessment of economic, scientific and technical, social, marketing, resource, financial, environmental, regional, ethical and cultural effects as well as assessment of the types of risks associated with the introduction of artificial intelligence.
Go to article

Bibliography

Armenakis et al. 1993 – Armenakis, A.A., Harris, S.G. and Mossholder, K.W. 1993. Creating Readiness for Organizational Change. Human Relations 46, pp. 681–703.
Artificial intelligence the next digital frontier? McKinsey Global Institute. July 2017. 80 p. [Online] https://www.mckinsey.com/~/media/mckinsey/industries/advanced%20electronics/our%20insights/how%20 artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/mgi-artificial-intelligence- discussion-paper.ashx [Accessed: 2021-07-15].
Bakke, D. 2005. Joy a work: A Revolutionary Approach to Fun on the Job. Seattle: PVG, 314 pp.
Behrens, W. and Hawranek, P.M. 1978. Manual for the preparation of industrial feasibility studies. NY: Unated Nations, 404 pp.
Berger, R. 2013. How to Survive in the VUCA World. Hamburg: Roland Berger, 245 pp.
Blommaert, Т. and Broek, S. 2017. Management in Singularity: From linear to exponential management. Vakmedianet; 1 edition, 172 pp.
Borowski, P.F. 2016. Development strategies for electric utilities. Acta Energetica 4, pp. 16–21.
Borowski, P. 2021. Innovative Processes in Managing an Enterprise from the Energy and Food Sector in the Era of Industry 4.0. Processes 9(2), 381, DOI: 10.3390/pr9020381.
Bostrom, N. 2014. Superintelligence: Paths, Dangers, Strategies. Oxford University Press, 352 pp.
Cheatham et al. 2019 – Cheatham, B., Javanmardian, K. and Samandari, H. 2019. Confronting the risks of artificial intelligence. [Online] https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/confronting-the-risks-of-artificial-intelligence [Accessed: 2021-07-15].
Doroshuk, H. 2019. Organizational development: theory, methodology, practice (Організаційний розвиток: теорія, методологія, практика). Odesa: Osvita Ukrainy, 368 pp. (in Ukrainian).
Doroshuk, H. 2020. Reform of the electricity sector in Ukraine – liberalization of the market and corporatization of companies. Polityka Energetyczna – Energy Policy Journal 23(4), pр. 105–122. [Online] https://epj.min-pan.krakow.pl/Reform-of-the-electricity-sector-in-Ukraine-liberalization-of-the-market- and-corporatization,127664,0,2.html/ [Accessed: 2021-07-15].
Edvinsson, L. and Malone, M. 1997. Intellectual Capital: Realizing your Company’s True Value by Finding its Hidden Brainpower. New York, NY: Harper Collins.
Firer, S. and Williams, S.M. 2003. Intellectual capital and traditional measures of corporate performance. Journal of Intellectual Capital 4(3) , pp. 348–360, DOI: 10.1108/14691930310487806.
Hoe, S.L. 2019. The topicality of the learning organization: Is the concept still relevant today? [In:] The Oxford Handbook of the Learning Organization, Oxford University Press: Oxford, UK, pp. 18–32.
Jackson, P.C. Jr. 2019. Introduction to Artificial Intelligence. New York: Dover Publication Inc., 170 pp. Jensen, P.E. 2005. A contextual theory of learning and the learning organization. Knowledge Process Management 12, pp. 53–64, DOI: 10.1002/kpm.217.
Jones, M.T. 2017. A Beginner’s Guide to Artificial Intelligence, Machine Learning and Cognitive Computing. [Online] https://developer.ibm.com/articles/cc-beginner-guide-machine-learning-ai-cognitive/ [Accessed: 2021-07-15].
Kinelski, G. 2020. The main factors of successful project management in the aspect of energy enterprises’ efficiency in the digital economy environment. Polityka Energetyczna – Energy Policy Journal 23(3), pр. 5–20, DOI: 10.33223/epj/126435.
Koistinen, P. 2021. Toward learning organization – Practices in nuclear power plants. [In:] Human Factors in the Nuclear Industry, Elsevier BV: Amsterdam, The Netherlands, pp. 239–247.
Laloux, Fr. 2014. Reinventing Organizations: A Guide to Creating Organizations Inspired by the Next Stage of Human Consciousness. Brussels: Nelson&Parker, 379 pp.
Levy, F. 2009. A simulated approach to valuing knowledge capital. Washington: The George Washington University, 189 pp.
Nazari, J.A. and Herremans, I.M. 2007. Extending VAIC model: measuring intellectual capital components. Journal of Intellectual Capital 8(4), DOI: 10.1108/14691930710830774.
Oklander et al. 2018 – Oklander, M., Oklander, T., Yashkina, O., Pedko, I. and Chaikovska, M. 2018. Analysis of technological innovations in digital marketing. Eastern-European Journal of Enterprise Technologies 5/3 (95), pp. 80–91, DOI: 10.1088/1755-1315/440/2/022026.
Pan et al. 2020 – Pan, T., Hu, T. and Geng, J. 2020. View learning organization in a situational perspective. IOP Conference Series: Earth and Environmental Science 440 pp.
Piano, S.L. 2020. Ethical principles in machine learning and artificial intelligence: Cases from the field and possible ways forward. Humanities and Social Science Communication 7, DOI: 10.1057/s41599-020-0501-9.
Romer, P.M. 1994. The Origins of Endogenous Growth. The Journal of Economic Perspectives 8(1), pp. 3–22.
Sozontov et al. 2019 – Sozontov, A., Ivanova, M. and Gibadullin, A. 2019. Implementation of artificial intelligence in the electric power industry. [In:] E3S Web of Conferences 114, DOI: 10.1051/e3sconf/201911401009. EDP Sciences.
Toffler, A. 1984. The Third Wave. NY: Bantam, 560 pp.
Tortorella et al. 2020 – Tortorella, G.L., Vergara, A.M.C., Garza-Reyes, J.A. and Sawhney, R. 2020. Organizational learning paths based upon Industry 4.0 adoption: An empirical study with Brazilian manufacturers. International Journal of Production Economics 219, pp. 284–294, DOI: 10.1016/j.ijpe.2019.06.023.
Von Ketelhod, Wöcke, A. 2008. The impact of electricity crises on the consumption behaviour of small and medium enterprises. Journal of Energy in Southern Africa 19(1), pp. 4–12
Go to article

Authors and Affiliations

Hanna Doroshuk
1
ORCID: ORCID

  1. Department of Menegement, Odessa Polytechnic State University, Ukraine
Download PDF Download RIS Download Bibtex

Abstract

The article integrates the 18th century vampire discourse with problems and approaches of postcolonial studies on the one hand, and with the Galicia research in historical and cultural studies on the other hand. For this purpose, vampirism and postcolonial studies are defined at first, while the change of the vampirism discourse – passing from the revenant image to the one of bloodsucker – is analysed in the next step. Finally it is shown how the vampire’s character and discourse have been adjusted and narratively transformed in 18th-century travel literature on Galicia

Go to article

Authors and Affiliations

Christoph Augustynowicz
Download PDF Download RIS Download Bibtex

Abstract

This paper proposes an inverse method to obtain accurate measurements of the transient temperature of fluid. A method for unit step and linear rise of temperature is presented. For this purpose, the thermometer housing is modelled as a full cylindrical element (with no inner hole), divided into four control volumes. Using the control volume method, the heat balance equations can be written for each of the nodes for each of the control volumes. Thus, for a known temperature in the middle of the cylindrical element, the distribution of temperature in three nodes and heat flux at the outer surface were obtained. For a known value of the heat transfer coefficient the temperature of the fluid can be calculated using the boundary condition. Additionally, results of experimental research are presented. The research was carried out during the start-up of an experimental installation, which comprises: a steam generator unit, an installation for boiler feed water treatment, a tray-type deaerator, a blow down flashvessel for heat recovery, a steam pressure reduction station, a boiler control system and a steam header made of martensitic high alloy P91 steel. Based on temperature measurements made in the steam header using the inverse method, accurate measurements of the transient temperature of the steam were obtained. The results of the calculations are compared with the real temperature of the steam, which can be determined for a known pressure and enthalpy.

Go to article

Authors and Affiliations

Magdalena Jaremkiewicz
Download PDF Download RIS Download Bibtex

Abstract

This article, focused principally on the exploration of contingency, the body and disgust in Michał Witkowski’s novel Margot, is also a polemic and a vindication of the book against the barrage of criticism it received from its reviewers. Most of them decided that Margot was a novel about nothing, a haphazard mix of sundry discourses devoid of any linear structure. In fact, several critics blamed the author of giving away both the narrative structure and the plot to capricious contingency. The article takes a fi rm stance against such charges and argues that contingency does not need to be seen as a fault at all. It lies at the heart of the novel and determines the actions of characters, but it plays as important a role in people’s lives outside fi ction. Analysing the ups and down of the main characters (Margot and Wadek Mandarynka), the article explains the function of emotions, the body, the characters’ language and their ideas of sacrum in the legitimization of contingency. A special role in this mechanism is played by disgust. Reactions of disgust are always contingent, or, as Julia Kristeva puts it the abject has the power to terrorize the subject to such extent that he can do nothing but to succumb to contingency. In working out the idea of the contingency of selfhood, the article also draws on Richard Rorty’s approach, and in particular his concept of ironism. The latter is used to classify the main character of Witkowski’s book as a consummate ironist, i.e. a person who tests different languages in which the world can be described in order to pursue his carnal desires. Finally, the article argues that in his novel Witkowski not only brings to light the fortuitous character of the postmodern identity but also creates a heterogeneous language to express it.

Go to article

Authors and Affiliations

Łukasz Wróblewski

This page uses 'cookies'. Learn more