4 research outputs found
Identification of the degree of greenness of the proposed skills with the requirements of green jobs based on fuzzy logic
No full textThe deepening climate crisis development have prompted most countries to recognize the importance of transition to a green economy. This causes a rapid growth of “green” jobs in various spheres of human activity and, accordingly, the need for “green” skills necessary to use new technologies. New professions and specialties requiring the acquisition of green skills create a discrepancy between the demand for human resources of the required profile and their supply.
In this context, it was clarified what the terms green jobs and green skills mean. Considering the content of these two concepts, studies dedicated to determining the relationship between the green transition and relevant skills were reviewed.
In this regard, the selection of personnel with the necessary skills determines the relevance of developing methods for assessing the supply and demand for specialists, providing an opportunity to assess the compliance of the proposed skills with the requirements of green jobs.
This article proposes a methodological approach to intelligent management of supply and demand in the green segment of the labor market. It also develops decision support methods to identify of compliance the greenness degree of the proposed skills with the level of the requirements of green jobs.
Decision making methods were based on fuzzy situational analysis and pattern recognition: reference situations are determined (fuzzy reference pattern), real situations are determined (fuzzy real pattern); degree of green similarity of the reference situation to each real situation is calculated in accordance with the chosen measure of assessment of similarity between two fuzzy situation
Development of digital twin ecosystem and ontology in medicine
No full textSummary: Providing citizens with high-quality and safe medical services, providing information support for medical research and continuous medical education, making both doctor’s decisions and management decisions necessitated the provision of tools to ensure complex digitization of healthcare. To achieve these goals, a wide range of modern technologies have emerged. One such technology is digital twin technology.
Modern medicine, being formed in the environment of Health 4.0, includes not only the treatment of patients, but also the management of healthcare, the prevention of diseases and the processes of health restoration. With the increasing popularity of information communication technologies, people’s demand for health services is shifting from offline service to new online models. Currently, the field of online medicine is not developed enough to serve the elderly, chronically ill people and the people with infectious diseases. Using the advantages of digital twins in solving these problems can give positive results.
The article describes the nature, capabilities and applications of digital twin technology. The principles of the formation of the medical digital twin ecosystem are developed to ensure citizens’ accessibility to medical services and to make both medical and managerial decisions. The architecture and structural components of the digital twin ecosystem providing the connection between physical medical objects (patient, hospital, doctor, etc.) and their virtual images are shown. An ontological model for the staged construction and functionalization of the general DT of healthcare is proposed and its hierarchical architecture is establishe
Analysis of the Internet of Things capabilities in monitoring the physiological state and location of personnel on an offshore oil platform
No full text<div>
<div>
<p>This chapter explores the opportunities of using the Internet of Things (IoT) to ensure the safety of personnel on offshore oil platform. To this end, the IoT applications and technologies are analyzed for the monitoring of the physiological state and location of personnel. The chapter presents the opportunities of using IoT with cloud technologies, Big Data technologies, and artificial intelligence for system development which enables to monitor and, if necessary, to make appropriate decisions through systematic monitoring of the state of personnel based on expert assessment of deviation of real time parameters' values from the norm. The practical tasks related to the application of IoT technology in various fields of healthcare are explored. IoT Services and IoT Applications used in e-health are analyzed and classified. The risks and challenges arising from the implementation of IoT solutions in healthcare and posing a threat to both the physical safety of patients and the confidentiality of their personal data are identified. </p>
</div>
</div>
