ISSN: 2310-8061
Репозиторій Харківського національного університету радіоелектроніки «ElAr КhNURE» є електронною платформою, що містить публікації наукових праць та досліджень науково-педагогічних працівників, інших співробітників, здобувачів вищої освіти ХНУРЕ. Серед них монографії, статті з наукових журналів та збірників, матеріали науково-практичних заходів, наукові публікації (розміщуються за умови наявності рецензії наукового керівника) та кваліфікаційні роботи здобувачів вищої освіти (розміщуються за дозволом автора КвР).
З усіх питань звертатися до адміністратора ElAr KhNURE за адресою: yuliia.derevianko@nure.ua
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Останні подання
Тип документа:Публікація, Development of a Web-Based Expert System for the Diagnosis of Depressive Disorders(WSEAS Transactions on Computers, 2026) Sotnik, S. V.The diagnosis of depression is a critical task in modern clinical psychology. However, traditional methods using paper questionnaires and manual scoring are labor-intensive and do not provide immediate feedback to patients. Existing web platforms for psychological testing are primarily focused on data collection and do not offer formalized algorithms for the automated interpretation of results according to clinically validated methods. This paper presents the development of a web-oriented expert system for diagnosing depression based on the Beck Depression Inventory. A mathematical model is proposed that formalizes the structure of the knowledge base as a set of questions with diagnostic coefficients, a user response vector, and a classification function for unambiguously mapping results to a set of diagnostic conclusions. Based on this formal model, a three-component system architecture was developed using React.js, which includes a root state management component, a component containing the expert system logic, and a static knowledge base module. The solution is implemented as a web application with an intuitive interface built using HTML5 and CSS3, along with data validation mechanisms and automated calculation of the diagnostic conclusion based on the clinically validated Beck Scale threshold values. Experimental testing on four response scenarios corresponding to different diagnostic categories confirmed the correctness of the algorithms for all intervals of the Beck Scale, including boundary values. The proposed approach provides immediate feedback to the user, increases the accessibility of screening diagnostics, and creates the prerequisites for timely seeking professional help through integration with the contact information of a specialist.Тип документа:Публікація, Architecture of an Automatic Speech-Based Production Task Generation Service for Flexible Robotic Systems(ХНУРЕ, 2026) Andreiev, A.; Sotnik, S.This work focuses on the architecture of a service that uses language models to convert recognized speech into formalized production tasks for flexible robotic systems. The service integrates voice activity detection, speaker diarization, automatic speech recognition, and a large language model into a single pipeline. The NVIDIA NeMo framework is justified: its pretrained models separate speech fragments from non-speech segments and generate segment labels required for diarization. At the same time, its customization capabilities allow fine-tuning speaker separation accuracy for shop-floor acoustic conditions. Two processing pipelines are described. The first serves a single operator's utterances, while the second handles multi-participant discussions, where the composition of speakers is reconstructed using diarization. A six-step task generation procedure is proposed, encompassing normalization, correction of part and tooling names against a manufacturing operations directory, recognition of the required task, creation of a structured JSON object, its validation, and speaker role verification. It is shown that the task queue in the database becomes the single point of integration between humans and automated equipment. The described approach automates the manual chain of discussion, formulation, and task assignment currently existing in manufacturing environments.Тип документа:Публікація, Вибір мультимедійних засобів для створення інтерактивного посібника з графічного дизайну(Видавництво Львівської політехніки, 2026) Онищенко, К. М.; Мендєлєва, М. В.The paper examines a structured approach to selecting multimedia tools for an interactive educational complex on modern graphic design styles. The approach is implemented in the prototype of web-based manual “Next Gen Design” that combines theory, visualizations, animations, tests, and augmented reality elements.Тип документа:Публікація, Елементи зворотного зв’язку у взаємодії користувача з інтерактивним навчальним посібником(Видавництво Львівської політехніки, 2026) Онищенко, К. М.; Мендєлєва, М. В.The article examines feedback elements as a functional component of interaction in interactive educational manuals. Visual interface responses, contextual hints, educational feedback, progress indicators, and micro-interactions are analyzed. Particular attention is paid to the relevance, timing, and content of feedback in digital learning environments.Тип документа:Публікація, Інклюзивна адаптація інтерфейсів цифрових видань під перцептивні та когнітивні потреби читачів(Видавництво Львівської політехніки, 2026) Ракова, О. В.; Вовк, О. В.The paper examines the inclusiveness of reading interfaces in digital publications for readers with permanent, temporary and situational cognitive and perceptual needs. A three-level settings model (typographic, audio and structural) combined with a need-based preset system is proposed and implemented in an interactive prototype of a desktop reading application. Keywords: inclusive design, digital publications, reading experience, reading application interface, typography, dyslexia, accessibility, text-to-speech.