Journals Published by Vilnius Tech
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Comparison of different Mercator projection systems for the topographical survey of the Buchanan-Tokadeh (Yekepa) railway, Liberia, Africa
For this project of the Buchanan-Tokadeh (Yekepa) railway located in the Republic of Liberia, Africa, it is about carrying out comparative analysis of precisions between two projection systems, the Local Transverse Mercator (LTM), divided into 15 zones; and Hotine Oblique Mercator (HOM); as well as the projection heights of their Local Topographic Planes (LTP) both in orthometric heights to determine the scale factor, as well as ellipsoidal ones to extend the semi-axes of the ellipsoid of the WGS84 datum to give an scale factor equal to 1 of these systems, along 245 km of route, taking as reference tolerances precisions that must be within 1/40,000 or 2.5 cms per kilometer, and also that the difference in height does not exceed 150 meters. Getting results by performing survey traverse polygon made with a total station, in a way that the deformations using an LTM divided into 15 zones and the HOM expanding the semi-axes of the reference ellipsoid of the Datum WGS84 complying with the aforementioned standards
WebGIS and land planning data management: a study of Hanoi University of Civil Engineering’s Campus 2
The use of WebGIS in urban land planning and management has become a global trend. A Web-GIS system was developed specifically for planning management at HUCE’s Campus 2. While not yet fully complete, the findings indicate that this system has provided substantial support to stakeholders, including local authorities, planners, and the broader community. Through efficient data management and analysis, the WebGIS system has facilitated timely monitoring and adjustments during the construction process, while also enabling comprehensive modifications to land planning. Additionally, its field interaction function gathers valuable information for detecting damages requiring repair and maintenance, along with updates on the status of areas where land use rights have not yet been transferred. Despite certain limitations, such as challenges in integrating 3D model data and enhancing public consultation methods, the incorporation of these research findings offers significant potential to improve the effectiveness of urban land planning and management in the future
Explainable AI-based mass appraisal: Insights from machine learning applications in Korea’s residential property market
Mass appraisal plays a pivotal role in real estate management, facilitating property tax assessments, mortgage evaluations, and urban planning across large geographical areas. In regions like Korea, where real estate markets are rapidly evolving, valuation models based on multiple linear regression are valued for their simplicity and interpretability but often fall short in capturing complex market dynamics. In contrast, machine learning (ML) models, while addressing non-linear relationships between property characteristics and market values and offering superior predictive performance, are often criticized for their “black-box” nature, which raises concerns over interpretability in transparency-critical domains like property tax assessments and policy planning. To address these concerns, this study investigates the application of Explainable AI (XAI) techniques in the mass appraisal of residential properties in Korea, integrating XAI methods with both multiple linear regression and random forest models. Using SHAP (SHapley Additive exPlanations) and PFI (Permutation Feature Importance) values, the study analyzes feature importance and predictive contributions, offering insights into the factors driving property valuations. Additionally, a temporal analysis was conducted by segmenting the data into time intervals to examine how feature importance and predictive contributions evolve over time. By combining high predictive performance with transparent and interpretable insights, the findings demonstrate that XAI can enhance the usability of both traditional and advanced automated valuation models (AVMs) for real-world decision-making in the Korean real estate sector
Structurally informed architectural designs defined by Catalan surfaces – examples of study projects
In the case of effective structural forms, characterized by a close symbiosis of architectural form and fabric solution, the properties of geometry not only enable the realization of the intention, but remain the main medium of shaping architectural expression in the aesthetic dimension. Moreover, geometric topological forms described by parametric equations provide many opportunities to model structures, also in digital spaces. Paying attention to these aspects was the goal of the academic design task specified in this paper
Design and experience: a typo-morphological case study of Maharishi Vāstu Architecture in Perú
Along with Feng Shui, Vedic architecture from ancient India (also referred to as Vāstu architecture by theorists and practitioners in the West) has become a design and construction approach of interest to architects in western countries. The most widely applied version of this approach is Maharishi Vāstu Architecture (MVA) as realized in not only hundreds of homes throughout the world, but also in the design of university campuses, commercial buildings and retreat communities in India, Japan, Netherlands and the U.S., as well as in the design of an entire city in Iowa. However, while applied in countries as diverse as Brazil, Ireland, Malaysia, Spain, Thailand and United Kingdom, this approach to architecture has not been the subject of detailed case study analysis.
To rectify this situation, the present study investigates the application of MVA in Perú by examining not only the location, design and construction of two houses, but also the lived experiences of owner–occupants within them. The houses located in Cieneguilla and Pachacámac, the first two MVA urban developments in South America, were designed by this study’s second author, a Perúvian architect, and have been featured in arq: Architecture Research Quarterly, the preeminent architectural journal of Latin America. One house is oriented to the east, the other to the north; one is single story, the other two stories; one is a homage to tradition, the other more modern; and one includes local adobe materials, the other standard brick and render. However, both houses are consistent with the ancient Vedic precepts of architectural design (specifically the 3 × 3 Pīṭha diagram from the Mayamata) and the ancient Andean Chacana diagram.
Results of lived experience from semi-structured interviews, consistent with findings from a previous international study of 158 MVA home–occupants, indicate that owner–occupants in Perú report increased health, vitality and good fortune, a range of practical benefits, and improved quality of life as a result of owning and living in an MVA-designed home
Review of the urbanism reader: design, technology, culture and the future of cities
The Urbanism Reader critiques postmodern urbanism as a reaction to modernist minimalism, focusing on diversity, responsiveness, and complexity in city design. Edited by Stefan Al and Tom Verebes, the anthology includes over 40 curated texts exploring urban theory since the 1960s. Topics range from spatial diversity, non-linear planning, density, public health, and informality to technology, AI, and environmental concerns. While the book includes minority and ecological perspectives, it lacks deeper political economy critiques. Ultimately, it offers a rich, if selective, overview of current urban discourse, highlighting the intersections of design, technology, and society as tools for navigating urban complexity
Are renewable energy stocks, investor sentiment, and the cryptocurrency market-related?
This paper applies wavelet quantile correlation to research on the relationship among renewable energy stocks, investor sentiment, and the cryptocurrency market. The empirical results indicated that under extremely negative conditions, in both the short and medium run, renewable energy stocks and cryptocurrencies are negatively correlated, implying that during such periods, renewable energy stocks can be used as a safe haven for cryptocurrencies. The opposite happens when the market is average or booming. This indicates that investors tend to invest simultaneously in these two promising asset classes when the market performs well. Under varied market conditions, FGI correlates positively with cryptocurrency, demonstrating sentiment influences price patterns. Moreover, the correlation between FGI and renewable energy stocks further validates the relationship between cryptocurrencies and renewable energy stocks. These findings can be used to improve the prediction of market trends by investors using sentiment indices and to devise more effective portfolio diversification strategies that minimize risk amid an evolving market
From farm to fork: determinants of supplier-retailer relation in organic agri-food supply chain on EU Eastern – Western approach
The European Union’s Farm to Fork Strategy, embedded within the Green Deal, aims to create equitable and sustainable food systems, fostering environmentally responsible practices and addressing challenges comprehensively throughout the agri-food supply chain. Organic farming plays an important role in this transition, particularly in the context of the circular economy. This study explores the key determinants influencing supplier-retailer relationships in the organic agri-food supply chain, focusing on the interaction between Romanian suppliers and retailers from Germany, Austria, and Switzerland. Using a mixed-methods approach that combines quantitative and qualitative analysis, the research identifies price, quality, and trust as essential factors shaping demand. Given Romania’s growing organic agriculture sector and the increasing consumption of organic products in German-speaking markets, this study highlights both challenges and opportunities for enhancing trade relations. As one of the first investigations into the East-West dynamics of the EU organic agri-food supply chain, the findings provide valuable insights for strengthening sustainable agriculture and market integration in Romania. It is also relevant for other Eastern European countries emphasizing the importance of a strong green agri-food sector throughout the European Union, as well as coordinated efforts along the supply chain
Collaborative analysis model of construction schedule and quality for RCC dam based on DES and deep learning
Construction schedule simulation is an effective method to analyze the progress of concrete rolling construction and its simulation accuracy is an important indicator that project managers care about. However, existing roller compacter concrete construction simulation research pays less attention to the impact of construction process changes caused by compaction quality on simulation accuracy. Based on the real-time monitoring system of concrete rolling construction, this paper establishes a simulation model of concrete rolling construction considering compaction quality. The model firstly reconstructs the property parameters of roller compacted concrete using the improved generated adversarial network, secondly, considering the nonlinear correlation characteristics of parameters affecting compaction quality, a concrete compaction quality analysis model based on improving grey wolf optimized convolutional neural networks (IGWO-CNN) was built. Finally, the intelligent analysis model of compaction quality was embedded into the simulation model of concrete rolling construction. Based on real-time monitoring data, the simulation model was driven and the simulation process was adjusted adaptively. Taking the construction of a roller compacted concrete dam in China as an example, the validity and superiority of this model are proved
Creating employee–talent motivation systems in start-up companies
Employee–talent motivation is a critical factor ensuring the competitiveness and success of a start-up. This article examines the challenges of creating an employee–talent motivation system, highlighting its role in fostering engagement, innovation, and long-term organizational growth. The article analyzes classical and modern motivation theories, emphasizing their importance, applicability, and relevance to the organizational environment of start-ups. It also explores distinctive features of start-ups, such as organizational structure, culture, financial constraints, and competition for talent, and how these factors influence motivation strategies. The key elements of a motivation system – reward systems, incentives, career opportunities, and workplace culture –are discussed with a focus on flexibility, autonomy, innovation, participation in decision-making, and informal work environments. The article provides valuable insights for aspiring entrepreneurs and start-up founders seeking to create effective strategies for attracting and managing talent, ensuring employee retention and engagement under limited financial resources.
Article in Lithuanian.
Darbuotojų-talentų motyvavimo sistemos kūrimas startuolių įmonėse
Santrauka
Darbuotojų-talentų motyvacija yra kritinis veiksnys, užtikrinantis startuolio konkurencingumą ir sėkmę. Šiame straipsnyje nagrinėjami darbuotojų-talentų motyvavimo sistemos kūrimo iššūkiai, pabrėžiant jos vaidmenį skatinant įsitraukimą, inovacijas ir ilgalaikį organizacijos augimą. Straipsnyje analizuojamos klasikinės ir šiuolaikinės motyvavimo teorijos, paryškinant jų svarbumą, tinkamumą, būdingą startuolių organizacinei aplinkai. Taip pat analizuojami išskirtiniai startuolių bruožai, tokie kaip organizacinė struktūra, kultūra, finansiniai suvaržymai ir konkurencija dėl talentų ir kaip šie veiksniai daro įtaką motyvavimo strategijai. Pagrindiniai motyvavimo sistemos elementai – atlygio sistema, paskatos, karjeros galimybės ir darbo vietos kultūra – yra nagrinėjami skiriant dėmesį lankstumui, savarankiškumui, naujovėms, dalyvavimui priimant sprendimus ir neformalioms darbo aplinkoms. Straipsnis suteikia vertingų įžvalgų pradedantiesiems verslininkams, startuolių įkūrėjams, norintiems sukurti veiksmingas talentų pritraukimo ir valdymo strategijas, užtikrinant darbuotojų išlaikymą ir įsitraukimą esant ribotiems finansiniams ištekliams.
Reikšminiai žodžiai: darbuotojų motyvavimas, startuoliai, motyvavimo sistemos, talentų pritraukimas, konkurencija dėl talentų, startuolių iššūkiai, inovacijos, darbuotojų įsitraukimas