Wyniki wyszukiwania - Biblioteka Nauki

1

Big Data, Analyzing and Modelling: New Ways of Health Improvement and Regional Aspects

100%

Kopytko V. , Shevchuk L. , Yankovska L. , Semchuk Z.

Path of Science

|

2018

|

tom 4

|

nr 8

2017-2023

EN

The field of health improvement and life prolonging develops poorly, despite all the advances in medicine, chemistry and genetic engineering. Among the main problems is the difficulty of using new scientific achievements in other industries due to the rapid development of specialized knowledge, the problem of returning costs for the creation of really effective and the problem of aging population in developed countries. There are problems with data for this methods usage with privacy and security on different levels with regional peculiarities. Effective timing of work on health at the personal level can result as a result of increased time and productivity. But it's difficult for people to allocate their intellectual resources for that, so you have to connect artificial intelligence and machine learning. Big Data model with methods and analysis techniques on different levels for health improvement was suggested. The importance of the level of social networks and its regional aspects for the analysis of health improvement data was identified. Big data processing results implementation and levels of interaction with human with request for changes model was proposed. It consists from two levels of interaction with humans by level of quick reaction and discussion with smart personal assistance. Regional aspects from possible AI implementation in undeveloped countries were analyzed on example of personal level big data for health usage.

2

Empowering Theory of Poverty Reduction for Sustainable Development: Does the Welfare of Descendants Matter?

88%

Piwowarski J. , Yankovska L. , Koshovyi B. P. , Von-Nagy I. , Yevstakhevych A.

Problemy Ekorozwoju

|

2022

|

tom Vol. 17, nr 1

52--63

EN

The first Sustainable Development Goal expresses the global concern in poverty eradication. We looked at the theory of poverty reduction with a long-term perspective in mind to confirm the congruence of modern approaches and their compliance with the principles of sustainable development. Despite clear signs of targeting Sustainable development goals to the future, we have found that future poverty needs deep discussion. We researched legal acts, policies and scientific sources to prove the possibility and suitability of recognising future poverty as a valid form of poverty. We considered the main possible difficulties that will challenge initiatives of future poverty exhausting. Finally, we proposed several perspective directions of further research to include the future poverty concept into the agenda of governments and supranational organisations.

PL

Pierwszy Cel Zrównoważonego Rozwoju wyraża globalną troskę o eliminację ubóstwa. W tej pracy przyjrzeliśmy się teorii ograniczania ubóstwa w perspektywie długoterminowej, aby potwierdzić zgodność nowoczesnych podejść i ich zgodność z zasadami zrównoważonego rozwoju. Pomimo wyraźnych oznak ukierunkowania Celów zrównoważonego rozwoju na przyszłość, stwierdziliśmy, że kwestia przyszłego ubóstwa wymaga dodatkowej uwagi. Przeanalizowaliśmy akty prawne, polityki i źródła naukowe, aby udowodnić możliwość i stosowność uznania przyszłego ubóstwa za ważną formę ubóstwa. Zastanowiliśmy się nad głównymi możliwymi trudnościami, które będą wyzwaniem dla przyszłych inicjatyw ograniczających ubóstwo. W końcu zaproponowaliśmy kilka perspektywicznych kierunków dalszych badań, aby włączyć koncepcję przyszłego ubóstwa do programu rządów i organizacji ponadnarodowych.

3

Smart Home and Artificial Intelligence as Environment for the Implementation of New Technologies

88%

Kopytko V. , Shevchuk L. , Yankovska L. , Semchuk Z. , Strilchuk R.

Path of Science

|

2018

|

tom 4

|

nr 9

2007-2012

EN

The technologies of a smart home and artificial intelligence (AI) are now inextricably linked. The perception and consideration of these technologies as a single system will make it possible to significantly simplify the approach to their study, design and implementation. The introduction of AI in managing the infrastructure of a smart home is a process of irreversible close future at the level with personal assistants and autopilots. It is extremely important to standardize, create and follow the typical models of information gathering and device management in a smart home, which should lead in the future to create a data analysis model and decision making through the software implementation of a specialized AI. AI techniques such as multi-agent systems, neural networks, fuzzy logic will form the basis for the functioning of a smart home in the future. The problems of diversity of data and models and the absence of centralized popular team decisions in this area significantly slow down further development. A big problem is a low percentage of open source data and code in the smart home and the AI when the research results are mostly unpublished and difficult to reproduce and implement independently. The proposed ways of finding solutions to models and standards can significantly accelerate the development of specialized AIs to manage a smart home and create an environment for the emergence of native innovative solutions based on analysis of data from sensors collected by monitoring systems of smart home. Particular attention should be paid to the search for resource savings and the profit from surpluses that will push for the development of these technologies and the transition from a level of prospect to technology exchange and the acquisition of benefits.