Vilnius Tech DSpace Repository
Not a member yet
52562 research outputs found
Sort by
Implementation and support of transport e-ticket systems processes
No full text2024 metais transporto e. bilieto sprendiniai veikė 11 Lietuvos miestuose / savivaldybėse. Visus vienija tie patys tikslai – apmokėjimo už kelionę patogumas, lanksti kainodara, esamų keleivių išlaikymas ir naujų keleivių pritraukimas, duomenų apie keliones rinkimas, analizė bei sprendimai remiantis jais. Skiriasi patirtis, diegiamų sistemų funkcionalumo gylis, integracijos galimybės, sistemos palaikymo ir priežiūros organizavimas, sistemos savininko statusas (miestas, VT organizatorius, vežėjas). Visus analizuotus pavyzdžius vienija tai, jog diegiami naujausi sprendimai, orientuoti į keleivio poreikius, o ne į paslaugos organizatorių ir vežėją. Pagrindinis straipsnio tyrimo tikslas – įvertinti sistemų diegimo patirtį, funkcionalumą ir iššūkius. Tyrimas darytas vertinant patirtį Lietuvos savivaldybėse, kurios jau įsidiegė elektroninį bilietą.E ticket system has become a visit card of nowadays public transport service. Implementing a convenient, easily accessible, intuitive electronic public transport ticket solution can also determine the usage the public transport service.Taip / Ye
Influence of factors of a healthy working environment on employee labor productivity (on the example of higher educational institutions of Georgia)
No full textIn today’s global landscape, human capital stands as the paramount force driving organizational success – a pivotal and irreplaceable asset. The challenges posed by the recent pandemic have underscored the significance of the workforce’s commitment, determination, and attitude across diverse sectors and scales. The correlation between these attributes and the quality of work directly influences goal achievement, shaping a company’s standing in the external environment. The main goal: this research endeavours to pinpoint key internal environmental factors within organizations that wield influence over personnel productivity. The research methodology: Employing a methodology comprising data collection through interviews and statistical analysis utilizing SPSS, the study aims to unravel the intricate interplay of these factors. While managers grapple with multifaceted considerations to meet organizational objectives, fostering a healthy work environment emerges as a critical challenge. Tailoring conditions to accommodate individuals of diverse cultures, ages, and genders becomes a powerful catalyst for enhancing employee productivity. Our analysis will shed light on the primary factors impacting productivity in conducive work settings. It is crucial to recognize that the same factor holds varying degrees of significance for different individuals.Taip / Yes
The user experiences design theoretical and practical aspects
No full textThe article analyzes that the user experience design requires effort and investment. Improving the user experience can increase sales, improve customer loyalty, and create a good image for the company. The user experience strategies such as the user research, prototyping, and continuous improvement can be used to create product designs that meet users’ needs and improve their experience. A successful user experience design is critical to a product’s success, as providing a good experience makes users more likely to become loyal customers and recommend the product to their friends. A well-designed user experience can help increase product sales, improve the user experience, and reduce the number of support requests. To ensure a good user experience, it is necessary to follow certain design principles and use the right strategies. A good product without design is not enough – it is important that it is convenient to use and meets the needs of users. A scientific question. How to improve the user experience design of the e-store? The authors of the article aim to investigate the peculiarities of the user experience design of the e-store. The article was prepared on the basis of the analysis of scientific literature and the analysis of interview data. A semi-structured interview method was used.Taip / Yes
Layer interface behaviour in layered concrete structural elements /
No full textLayered concrete structures provide many benefits in construction of a new project and repair, strengthening of already existing structures. However, this type of structural member has a vulnerable point, which is the interface between the layers. If the stiffness of the interface between the layers is not sufficient, the structure might fail at the interface and the layers might slip relative to each other. Interface behaviour is a complex process, which is yet to be fully understood. This article presents a theoretical method for analysing the behaviour of the interface. Using this method, an analysis of experimentally tested specimens, which were tested by other authors, was conducted. After the results of the analysis, it was confirmed that the proposed theoretic method is an appropriate tool for analysing the interface. Additionally, a parametric analysis was carried out by changing the values of concrete strength and connector ratio. Lastly, using the determined values of shear stress and slippage, a shear stress modulus for experimental specimens was calculated
Hallucinations in Large Language Models (LLMs)
No full textThe recent advancements in neural network architectures, particularly transformers, have played a crucial role in the rapid progress of Large Language Models (LLMs). LLMs are trained on many parameters. By training these parameters on vast amounts of text data, LLMs can learn to generate reactions to a wide variety of prompts. These models have enabled machines to generate new data (human-like), driving significant developments in Natural Language Processing (NLP). They have demonstrated remarkable capabilities in producing new content. Besides their impressive performance, LLMs occasionally generate hallucinatory responses that produce nonsensical or inaccurate information. In simple terms, hallucinations in LLMs happen when the model generates information that may sound believable but is actually wrong. It can make up details or go beyond what it has learned from the training data, resulting in inaccurate output. These hallucinatory responses appear to be authentic but lack grounding in reality. Such hallucinations can include fabrications such as facts, events, or statements that lack support from real-world data. Addressing this issue is important to enhance the reliability of AI-generated content. Hallucinations can be a significant challenge in critical applications such as healthcare, law, etc. In this view, this paper delves into the phenomenon of hallucinations in the context of LLMs. The objective is to understand the causes, explore the implications, and discuss potential strategies for mitigation.Taip / Ye
Challenges and opportunities of ESG investing
No full textThe main purpose of the article is to define the main challenges of ESG investing and propose key opportunities to foster its growth by considering the essential characteristics of ESG investing. The aim is developed within key objectives, including: provide a theoretical framework for ESG investing, exam the current global trends of sustainable economy development and ESG investing, identify the key challenges, and explore potential opportunities of ESG investing. Emphasizing practical application of the current research, it is relevant for devising strategies in both business and national economies. The article offers a comprehensive analysis of ESG investing dynamics by use of a measure of methods, including analytical, descriptive, and case study methods. The research results in development of ESG investing maps, SWOT analysis, and core principles for integrating ESG criteria into strategic social and economic frameworks. The practical significance of ESG investing topic is deeply connected with the necessity for its further exploration and implementation in business and national economic strategies.Taip / Yes
Abstracts of the 5th Baltic Conference of Emerging Scholars in Architecture, Landscape Architecture & Urbanism
No full textSpatial information for management – Lithuanian catholic church administrative boundaries case study
No full textŠiame straipsnyje yra aprašomas Katalikų Bažnyčios administracinių teritorijų (toliau – KBAT) geografinio duomenų rinkinio pritaikomumas teritorijų valdymui. Duomenų rinkinys (46% Lietuvos parapijų) iš viešai pasiekiamų duomenų šaltinių buvo sukurtas 2022 m., tad yra naujas ir nepažintas dalykas KBAT administratoriams. Siekiant paskatinti atsakingus asmenis labiau įsitraukti į išsamaus KBAT ribų duomenų rinkinio kūrimą, straipsnyje pristatomi pavyzdžiai, kaip parapijų ribų duomenys galėtų būti panaudoti jas administruojant ir gerinant sielovadinį darbą. Tyrime buvo naudojami KBAT duomenys bei gyventojų ir būstų surašymo 2021 metų ir policijos registruojamų įvykių registro 2019 metų (toliau – PRĮR) duomenys. Atliktų erdvinių-statistinių analizių rezultatai parodė, kad iš pirmo žvilgsnio panašios parapijos tarpusavyje skiriasi ir reikalauja skirtingo administravimo ir valdymo metodų.This article contains a description of the applicability of the geographic data set of administrative territories of the Catholic Church (hereinafter referred to as KBAT) for territorial management. The data set (46% of Lithuanian parishes) from publicly available data sources was created in 2022, then it is a new and unknown thing for KBAT administrators. In order to encourage the responsible persons to be more involved in the development of a comprehensive data set of KBAT boundaries, the article presents examples of how parish boundary data can be used in the administration and improvement of pastoral work. The researches were carried out using KBAT data and data from the 2021 population and housing census and the 2019 register of events registered by the police (hereinafter referred to as the PRĮR). The results of the performed spatial statistic analyzes show that, at first glance, similar parishes are diverse and require administration and management methods.Taip / Ye
Biblioteka informuoja, 2024 Nr. 25 (669)
No full textNaujai į Web of Science ir Scopus įtrauktų Vilnius Gedimino technikos darbuotojų publikacijų sąrašai ir kitos bibliotekos aktualijos.25 (669)202
Sentiment Analysis of Hotel Reviews using Deep Learning Approaches
No full textThe tourism industry is experiencing rapid growth and is becoming one of the fastest-expanding sectors. A considerable number of travelers now make hotel bookings and share their experiences on travel e-commerce platforms. Enhancing the quality of products and services within this industry can be accomplished by scrutinizing customer feedback. This research employs advanced deep learning techniques to discern subtle sentiments and glean insights from an extensive collection of hotel reviews. Deep neural networks, such as Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM), are widely acknowledged for their effectiveness in sentiment analysis. This study conducts a comparative examination of various network architectures, encompassing CNN, LSTM, CNN-LSTM, BiLSTM, and ConvBiLSTM, with the objective of pinpointing the most suitable approach. The experimental results are derived from datasets containing hotel reviews from Indonesia, obtained by crawling TripAdvisor. Notably, the LSTM model achieved an accuracy score of 96.42% on the Padma Hotel dataset and 85.31% on the Hard Rock Hotel dataset. The CNN-LSTM model demonstrated an accuracy of 85.87% on the Ayana Hotel dataset, while the BiLSTM model achieved 86.09% accuracy on the Pullman Hotel dataset. In assessing the performance of machine learning versus deep learning models, the analysis extends to commonly used IMDb datasets. The experimental results underscore the superiority of deep learning models over machine learning models across all evaluated metrics.Taip / Ye