Harvester open publications of NAS Ukraine
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Rapid vs. Qualitative Development
No full textThe Rapid Application Development technologies were considered, their advantages and disadvantages were analysed. The importance of careful study and appropriate usage accentuated. It is shown that speed of development can be not achieved in the case of negligent usage of technology; herewith the quality can be significantly lost. It is argued that the quality of software is more important than the speed of its development.Prombles in programming 2014; 2-3: 38-4
Software architectural design for the interactive learning of sign language
No full textThe article suggests an approach to the software system development, dedicated to the interactive learning of sign language. The article shows a basic architecture of the system, its modules, format and transmission protocol of the data. The article also describes the main module of the system responsible of the synthesis and the animation of the gestures and facial expressions of the emotions, based on the three-dimensional pattern of a human body. It describes main requirements for the module, analyzing basic problems and the implements for their solution, architecture and components, especially these ones that are responsible of the generation of the animation, its structure, the algorithm of gestures’ combination and their graphical processing.Prombles in programming 2014; 2-3: 295-30
The formal basic developing and testing the distributed program systems
No full textProblems in programming 2013; 4: 25-3
Multimodal RAG using text and visual data
No full textThis paper presents the development and investigation of a multimodal Retrieval-Augmented Generation system designed for the analysis and interpretation of medical images. The research focuses on chest X-ray images and their corresponding radiology reports. The primary goal was to create a system capable of performing two key tasks: generating a detailed radiology report for an input image and providing accurate answers to specific ques tions about it. A secondary goal was to demonstrate that employing a multimodal retrieval-augmented approach significantly improves generation quality compared to using large multimodal models without a retrieval com ponent. The system's implementation utilizes a combination of state-of-the-art deep learning models. The Bio medCLIP model, fine-tuned on the target dataset, was used to generate vector embeddings for both text and visual data. The generator component is based on the large language model LLaVA-Med 1.5, which is adapted for the medical domain and quantized to operate under limited computational resources. The system architecture also includes auxiliary classifiers based on DenseNet121 to determine the image projection and identify clinical findings, thereby enhancing retrieval accuracy. The experimental evaluation involved testing six different con figurations of the developed system. The evaluation was conducted using a range of metrics, including accuracy and F1-score for the question-answering task, as well as BLEU, ROUGE, F1-CheXbert, and F1-RadGraph for assessing the quality of the generated reports. The test results demonstrated a significant advantage of all system configurations over the baseline generator model. The best results were achieved by the configuration that uti lizes projection and clinical finding classifiers with an exact match requirement for the identified pathologies. The study confirmed that integrating a relevant data retrieval mechanism significantly enhances both the struc tural and semantic quality of the generated textual descriptions for medical images.Problems in programming 2025; 3: 66-7
Наукове життя, сповнене аромату троянд: до ювілею Олени Рубцової
No full textThe article highlights the life and scientific path of Olena Leonidivna Rubtsova, a well-known researcher who devoted her entire life to the study, selection, and preservation of roses. The anniversary essay presents the main stages of professional activity, scientific achievements, and contribution to the development of botanical science, particularly the study of the genus Rosa and the introduction of new varieties of roses into culture. The publication is a tribute to the person who combined scientific depth, creative thinking, and dedication to the work
Multi-threaded computer calculations in the considered nonlinear dynamic systems
No full textPrombles in programming 2013; 3: 109-11
Formalized design and synthesis of parallel programs for videographic shortcuts
No full textPrombles in programming 2013; 3: 38-4
Research of the application of GPGPU and TPU technologies for ensuring comment quality in version control systems
Full text linkThe study substantiates the relevance of solving the issue of ensuring the quality of descriptions for changes made in source code files within version control systems. Machine learning methods, particularly neural networks of various architectures, are employed for comment filtering. Neural networks are deemed appropriate due to the necessity of identifying descriptions that accurately reflect the purpose of the changes made. Recurrent neural networks were developed and trained on a dataset of change descriptions obtained through the GitHub REST API. To enhance training performance, various hardware and software platforms such as CPU, TPU, and GPGPU were utilized. The accuracy of the models was analyzed using metrics like Accuracy and the harmonic mean (F1-score).Prombles in programming 2025; 1: 24-3
Overview of global open access resource aggregation services and their requirements for data providers
Full text linkThe paper presents an overview of modern global aggregators of open access documents. Their statistical characteristics are analysed, such as the number of collected document descriptions and full texts, the number of data providers, and the availability of application programming interface to obtain data. The types of data providers, such as institutional repositories, open journals, publishers, scientific repositories of preprints, thematic digital libraries, and systems that are also aggregators, are analysed. We also investigate what kind of information about documents these aggregators collect and how it is presented in the user interface, as well as what information is collected about their data providers and how it is presented in the user interface. How the aggregator interacts with data providers, what data exchange protocols are supported, and how often the collected data is updated. Also, modern aggregators based on collected data corpora, using machine learning methods, bibliometrics, webometrics, altmetrics, semantometrics, provide a range of useful services to researchers. As developers of a certain number of scientific digital libraries, we are already registered as data providers in some of these systems. Therefore, we are familiar with their requirements in the practical sense. In this paper, we have attempted to summarise these requirements.Prombles in programming 2025; 1: 38-5