2023 № 2 Системний аналіз, управління та інформаційні технології

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/72511

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  • Ескіз
    Публікація
    Algorithm and software of medical personnel selection system
    (Національний технічний університет "Харківський політехнічний інститут", 2023) Yamburenko, Viktor Viktorovych; Liutenko, Iryna Viktorivna; Kopp, Andrii Mykhailovych; Holovnia, Dmytro Mykolaiovych
    There is a lot of routine work in any organization, including in recruitment agencies. Effective management organization and automation of activities of employees of recruiting agencies is not an easy task. The system should automate the routine actions of workers of recruiting agencies and be convenient for their clients. This paper proposes an approach to automating the selection of necessary medical staff. Not all information systems used by recruiting agencies can compare candidates and generate results that include several of the best candidates. Based on the analysis of the subject area, groups of parameters that significantly affect the choice of medical personnel were determined. The proposed approach is to analyze the request from the client, and then in the system find requests of other clients similar to it in terms of parameters, for which a candidate has already been found. The next step is to take the profiles of healthcare professionals that have been suggested for these requests (they act as benchmarks) to further compare them with existing candidates. Each employee profile parameter has its own similarity function. Available candidates will receive scores and will be ranked. We also additionally adjust the assessment by comparing candidates with the current request. Software was developed to automate the selection of medical personnel. For its implementation, a three-level client-server architecture is proposed. MVC (Model View Controller) architecture was chosen for the server part. The Single Page Application architectural template is used for the client part. The server part is divided into three layers, which further demarcate and structure the responsibilities of the system components. .NET technologies are used to implement business logic. SQL Server is used for the server and database provider. The use of the software implementation of the developed system demonstrated quite good results. The average time for selecting the 10 best candidates out of 500 is 0.4 seconds, and the processing of only 1 resume by a person takes several minutes.
  • Ескіз
    Публікація
    Blockchain platform selection and software development for decentralized exchange of business process models
    (Національний технічний університет "Харківський політехнічний інститут", 2023) Kopp, Andrii Mykhailovych; Orlovskyi, Dmytro Leonidovych; Olkhovyi, Oleksii Mykhailovych
    Modern organizations employing the Business Process Management (BPM) approach typically handle collections of hundreds or even thousands of business process models. Business process modeling stands as the central technology within the entire BPM methodology. In line with the BPM lifecycle, these models visually represent current organizational activities that necessitate improvement using various diagramming notations. These graphical business process models can subsequently be employed to analyze ongoing activities in the enterprise, identifying potential drawbacks or "weak spots" that hinder the company’s performance. Through business process models, organizations can modify the "virtual twins" of their organizational workflows, conduct simulations, and make informed decisions for business process improvement. Thus, business process models constitute the most valuable assets of the organization, conveying knowledge about ongoing activities and potentially encapsulating the best organizational or industry practices. The implementation of a centralized database for business process models can significantly benefit the entire organization, enhancing the efficiency of knowledge sharing and accumulation. However, centralized business process model repositories prove less efficient for inter-organizational knowledge exchange. Additionally, most business process models require significant person-hours for development and cannot be shared freely with competitors. The exchange of business process models should adhere to established mechanisms for managing valuable digital assets. Presently, Distributed Ledger Technologies (DLT), especially Blockchain, have gained enormous popularity. Therefore, we can employ the principles of Blockchain technology and the cryptocurrency industry to create software for the Decentralized Exchange (DEX) of business process models. This study explores the selection of a DLT platform and the development of software for the decentralized exchange of business process models, utilizing asset tokenization and smart contract technologies.