KTU Open Journal Systems (Kaunas University of technology)
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Sémantique des cadres et phraséotraduction : fondements théoriques et implications pratiques
Notre langage ne se limite pas à des associations de mots à combinatoire libre renvoyant à une énonciation littérale, mais abrite également des constructions indécomposables ayant plus de fixité et de cohésion. Dans ce dernier cas, nous parlons d’unités phraséologiques (UP), qui représentent un cas particulier de langage non littéral où les dimensions linguistiques et extralinguistiques se couplent harmonieusement. Connue traditionnellement sous le nom d’expressions figées, cette catégorie de construction présente des défis pour la traduction automatique. Notre étude, axée sur une approche multidimensionnelle de la phraséotraduction, met en lumière les processus cognitifs et les structures conceptuelles qui régissent l’opération de traduction, en utilisant notamment le modèle de la sémantique des cadres de Fillmore. Cette analyse se veut une exploration des aspects linguistiques et extralinguistiques des unités phraséologiques, ainsi qu’une révision actualisée de la classification des domaines phraséologiques. L’application du modèle de la sémantique des cadres, ancré dans la Sémantique Cognitive, vise à développer une phraséotraduction spécialisée pour relever les défis liés à la traduction automatique des unités phraséologiques. Cette approche, fondée principalement sur des cadres conceptuels qui régissent les réalisations lexicales, représente une avancée significative dans la compréhension et la traduction de ces constructions linguistiques lexicalisées. Toutefois, sa mise en œuvre exige un travail minutieux de définition des cadres conceptuels et d’annotation des contextes, afin de garantir une traduction précise et adaptée aux évolutions sociales et linguistiques
Naujų lietuvių kalbos anotuotų tekstynų rengimas: sandaros aspektai
Iki šiol parengti lietuvių kalbos gramatiškai anotuotų tekstynų ištekliai (morfologiškai anotuotas tekstynas MATAS, sintaksiškai anotuotas tekstynas ALKSNIS) yra nepakankamo dydžio atsižvelgiant į augančius lietuvių kalbos kompiuterizavimo poreikius. Todėl ES NextGenerationEU projekte „Morfologiškai ir sintaksiškai anotuotų tekstynų modeliai apmokymui (auksiniai standartai)“ yra rengiami du nauji tekstynai pagal tarptautinį Universal Dependencies (UD) standartą. Nauji tekstynai reprezentuos rašytinės lietuvių kalbos atmainą, todėl numatyta, kad juose, kaip ir „Dabartinės lietuvių kalbos tekstyne“ ar kituose anotuotuose tekstynuose, bus keturios dalys su tekstais iš grožinės, negrožinės (mokslinės), administracinės literatūros ir straipsniai iš internetinės periodikos.
Pristačius anotuotus tekstynus MATĄ ir ALKSNĮ, tarptautinio projekto UD kitų kalbų tekstynus, šiame straipsnyje aptariami naujų rengiamų anotuotų tekstynų sandaros aspektai: pirma, aprašoma planuojama tekstynų sandara ir proporcijos, antra, diskutuojamas pirminiam tekstyno automatinės analizės etapui svarbus klausimas – tekstyno skaidymas tekstyno vienetais (TV) (angl. tokenization) ir TV (angl. token) samprata. Nors tiek lietuvių, tiek kai kurių kitų kalbų tekstynų dydis gali būti nurodomas žodžiais, vis dėlto dažniausiai tekstynų dydis matuojamas TV, nes tekstynams aktualūs vienetai yra ne tik žodžiai, bet ir kiti elementai (skyrybos ženklai, skaitmenys, trumpiniai, simboliai). Kadangi TV samprata gali skirtis priklausomai nuo kalbos, tyrėjų sprendimo, svarbu, kad konkrečios kalbos automatinės analizės įrankyne būtų aprašyta, kokios TV skaidymo strategijos buvo laikomasi. Šiame straipsnyje paaiškiname, ką laikome TV, kaip traktuojami nevienareikšmiai skaidymo TV atvejai
Bio-Economy of Ukraine: Efficiency and Potential for Development Based on SEE-Management Methodology
The study of the efficiency and potential for the development of the bio-economy in Ukraine is highly relevant in the conditions of modern economic and environmental challenges. The current economic situation, complicated by military aggression, requires transformational changes aimed at sustainable development and decarbonization of the economy. Bioeconomic transformation is an important step towards achieving the country\u27s sustainable development goals and climate neutrality. The study aims to evaluate the efficiency of the bioeconomic industries and determine their resource potential for developing management strategies for the bioeconomic transformation of socio-economic systems in the future. The methodology of SEE-analysis (scale, effectiveness, efficiency), which allows the evaluation of the efficiency and effectiveness of complex systems, is used in the study. Statistical indicators of the production volume, production costs, and value-added of the bio-economic sectors of the economy of Ukraine were used for the analysis. The study results showed that Ukraine\u27s bio-economic industry has a significant potential for development, but the main growth is due to quantitative, not qualitative, indicators. The largest share of added value is generated by agriculture and food production. At the same time, there is a need to increase the efficiency of the resources used with innovative technologies. The study emphasizes the importance of developing the bioeconomy to reduce dependence on fossil resources and improve the ecological situation in the country because the bioeconomic transformation will contribute to strengthening the economy of Ukraine and its integration into the European economic space. The obtained research results can be used to develop policies and strategies for managing bioeconomic transformation in Ukraine. The proposed methodology can be used to evaluate the effectiveness of other socio-economic systems at different levels
The Relation Between Resilient Cities and City Growth: Relational Bibliometric Analysis
In the context of rapid urbanization and implementing attractive cities for investments. Environmental considerations of more effective approaches are increasing. These approaches ensure that the stages of urban growth are resilient during their developmental phases. The concept of resilient cities aims to preserve the continuity of diverse systems and enhance cities’ capacity to withstand all challenges. Also, it seeks to increase its ability to recover swiftly and confront additional fluctuations. However, to ensure the successful application of resilient city standards, they must be integrated into the city\u27s growth stages from planning and design to implementation and various operational phases, to achieve its objectives. This research aims to study the relationship between the resilient city approach and the city\u27s growth stages by applying relational bibliometric analysis using the SCOPUS database of 816 research from 2004 to 2024, according to specific criteria, A statistical analysis of this data was conducted using VOS viewer software, and The results revealed that most studies on resilience and urban growth focus primarily on risks and disasters, which precisely highlights a research gap: the limited application of resilience approaches during the stages of urban growth, whether in planning, implementation, or operation. The study recommends conducting extensive future research on various frameworks and standards for applying resilience throughout the urban growth process, in addition to exploring the potential integration between resilience approaches and other environmental methodologies that emerged during the study, such as urban metabolism
Resilient cities – Resilience – City Growth- Relational Bibliometric – VOS viewe
Assessing the Sustainable Supply Chain Management Performance of Ornamental Coral in the Bali Strait Using the RAPFish Method
Coral reef ecosystems exert a pivotal role in fisheries from ecological, social, and economic perspectives. Components of coral reefs, particularly ornamental corals, currently hold significant economic value for aquarium hobbyists and as public facility accessories in international markets. However, sustaining their production requires effective supply chain management to prevent overexploitation. Despite the optimal supply chain performance and sustainable exploitation status, fluctuating ornamental coral abundance over the past three years indicates that long-term sustainability remains uncertain. Therefore, this study analysed the performance of sustainable supply chain management (SSCM) for ornamental corals in the Bali Strait using the RAPFish (Rapid Appraisal for Fisheries) method. A descriptive case study approach and snowball sampling were employed to collect data from exporters, suppliers, and fishers. Results indicated an average SSCM performance score of 67.28%, categorized as moderately sustainable. This result indicated that SSCM for ornamental corals was generally not yet sustainable, with the least sustainable dimension being government policy (46.99%), where the most sensitive attribute was economic and social policy
Mathematical Modeling of the Development and Extinguishing of Forest Fires in Radionuclear Contaminated Areas
Fires in radioactively contaminated forests, particularly in the Chernobyl exclusion zone, pose a particular danger. During such fires, radionuclides migrate, depending on the level of radioactivity and wind speed. To assess the effectiveness of decisions made regarding forest firefighting, it is necessary to conduct mathematical modeling of forest fire spread processes and their extinguishing, which can be used to estimate the time required to complete the task as a criterion of effectiveness, taking into account the available firefighting forces and means and their tactical and technical capabilities. This will prevent the spread of forest fires and the volume of radionuclide emissions.
Modeling was carried out by mathematical methods, developing formulas that describe the spread of the edge of a forest fire in the form of an ellipse. During the modeling of fire development and extinguishing processes, the area of the fire and its change over time were used as criteria, taking into account the spread and extinguishing. The modeling assumed the homogeneity of the properties of the layer of forest combustible material and the presence of a constant wind speed and direction. In this case, the fire area will be limited by an ellipse.
The suggested mathematical model of forest fire development and extinguishing is simple and allows obtaining the contour equation and forest fire area before and after extinguishing, assuming constant wind direction and speed and taking into account management decisions regarding the number of forces and means and their placement around the fire perimeter
A New Fault Recognition Method Based on Empirical Mode Decomposition and Texture Attributes
Small faults developed in coal seams are one of the major causes of coal mine accidents. Accurately predicting small faults in coal fields is an urgent requirement for efficient and safe production in coal mines. This article proposes a new small fault identification method that combines the empirical mode decomposition method and the seismic texture attribute extraction method to address the problem of large errors caused by noise in the results of small fault prediction. Firstly, the basic principles of the empirical mode method and the texture attribute method were studied, and then the fault recognition ability of this method was tested and analysed based on a small fault seismic forward modelling. Meanwhile, empirical mode decomposition is performed on actual seismic data to identify small faults by using texture attributes and by adding noise to the seismic record; this article compared the seismic record of texture properties in the presence and absence of noise. The results indicate that the texture attribute method can predict small faults well, but this method is easily disturbed by noise. The empirical mode decomposition method used in this paper can remove noise interference and highlight characteristics of the texture attribute. Therefore, the small fault prediction method that combines empirical mode decomposition with texture attributes can effectively identify small faults and play an important geological guarantee role in ensuring safe and efficient production in coal mines
COLFSR - A Hybrid Random Number Generator Based on Chaos Optimisation and Linear Feedback Shift Register
Many researchers are trying to make our lives easier with developments in the Internet of Things, industry 4.0, and artificial intelligence. However, when the security of the data, which is at the centre of all these developments, is not ensured, the processes that try to make the lives of human beings more comfortable turn into nightmares. The problem that is tried to be addressed in this study is to share the details of an approach that can be used as an encryption key in hardware encrypted data storage units that can be used to address security concerns that may arise during the transmission, processing, and storage of sensitive data. The proposed method has contributed to the hybrid random number generators, both by optimising the deterministic generators and the chaotic selection algorithm. The results of the successful analysis of the proposed architecture have confirmed that it will have potential in many practical applications in the future. It is thought that with projections for future studies, it will contribute to the field of global encryption software
Hybrid Attention Approach for Source Code Comment Generation
Currently, developers are often obligated to enhance code quality. High-quality code is often accompanied with comprehensive summaries, including code documentation and function explanations, which are invaluable for maintenance and further development. Regrettably, few software projects provide sufficient code comments owing to the high costs associated with human labeling. Contemporary researchers in software engineering concentrate on the methods for automated comment generating. Initial algorithms depended on handwritten templates or information retrieval methods. With the advancement of machine learning, researchers construct automated models for machine translation instead. Nonetheless, the produced code comments remain inadequate owing to the significant disparity between code structure and normal language. This study introduces a unique deep learning model, At-ComGen, which utilizes hybrid attention for the automated creation of source code comments. Utilizing two separate LSTM encoders, our approach integrates essential tokens from source code functions with the code structure, represented by a corresponding Abstract Syntax Tree. In contrast to earlier data-driven models, our methodology utilizes code syntax and semantics in the generation of comments. The hybrid attention method, used for comment creation for the first time to our knowledge, enhances the quality of code comments. The tests demonstrate that At-ComGen is efficacious and surpasses other prevalent methodologies. Machine comments from Seq2Seq and CODE-NN disregard code structure underlying DeepCom and At-ComGen. At-ComGen has 59.3%, 36.4%, 43.3%, and 13.1% higher comment BLEU values than baseline models for a 5-line function. Even though model performance reduces with comment length, At-ComGen\u27s comments often outperform others. 5–10-word machine comments work best. For reference length 10, At-ComGen has 38.2%, 23.7%, 9.3%, and 4.4% greater BLEU values than the other baseline models.