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Found 6334 publications

Immersive VR user interaction design in MaxWhere XR

Péter Galambos György Persa Tamás Budai Dániel Mészáros Norbert Rajos Benedek Heilig Sára Puspán Gábor Peller Csaba Tóth

Publication Name: Cinti 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 111-116

Description:

This paper presents a case study on transitioning user experience from desktop VR to immersive VR within the MaxWhere XR framework. It explores modifications to accommodate the shift to immersive virtual reality environments. Drawing from scientific research, the study focuses on user interaction design, including locomotion techniques, spatial UI elements, and hybrid interaction models. The paper details the technical implementations required to use MaxWhere XR on wide variety of VR devices. It presents the components form the foundation for designing and implementing the immersive user interactions, ensuring that they are intuitive and efficient in a virtual reality environment. Finally, the paper outlines the effects of these changes on user experience and suggests future development directions for further enhancement.

Open Access: Yes

DOI: 10.1109/CINTI63048.2024.10830883

The Integration of Building Information Modelling and Life Cycle Assessment: Progress, Challenges, Future Directions

Zekun Yang Bohong Wang Yee Van Fan Ting Pan Péter Németh Ling Shao Petar Sabev Varbanov

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 409-414

Description:

Building Information Modelling (BIM) plays a key role in the digitisation of the building sector, facilitating the design and construction of buildings. Environmental impacts have become an important factor to consider in building design and construction, often analysed through Life Cycle Assessment (LCA). The integration of BIM and LCA is crucial for supporting sustainable building design and construction. However, there is a lack of up-to-date reviews that consider the role of artificial intelligence (AI) in the integration of BIM and LCA. This paper addresses this gap by examining the recent progress, challenges, and future directions in building carbon emission accounting for buildings. The integration of the BIM-LCA for environmental impact accounting is explored, including goal and scope definition, life cycle inventory, impact assessment, interpretation, interoperability, and integration AI. The results identify gaps in BIM-LCA integration, including transparency issues and reliance on non-local databases. Future directions emphasise enhancing data quality, refining models, and developing AI methods for carbon emission predictions to explore decarbonisation strategy in the building sector. The review contributes to early-stage analysis, facilitating informed decision-making in sustainable building design and construction.

Open Access: Yes

DOI: 10.3303/CET24114069

Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series

Adrienn Buruzs

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 71-80

Description:

As no statistical time series was available for the new refined, “split” concepts, the next goal of the research was generating a time series for all 33 factors, based on information in the literature, relying on the available expert judgment. Relying only on expert knowledge would have led to rather unreliable results, thus, an objective method for analysing the texts of the literature had to be proposed. Text mining seemed to be the easiest way to go, especially, as it promised to be the most suitable way to extract the time series in the time period covered by these literatures for all the new concepts. We assumed that this approach would allow the extraction of structured knowledge from the available unstructured or only slightly structured text files. Thus, the next step was to gather and transform the textual knowledge and information from these different document sources with applying proper machine intelligence. A specialised text mining expert company offered help as “sub-contractors” to the team’s research.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_6

Automatized Driving Data Analyzer: A Synchronized and Modular Application for Data Logging and Analysis †

Viktor Nagy Ágoston Pál Sándor

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The Automated Driving Data Analyzer (ADDA) is a modular application written in Python for the synchronized acquisition and analysis of physiological, vehicle, and interface data. It provides a managed data acquisition process and one-click data analysis. It also provides raw data storage and systematic archiving of data sets. ADDA integrates real-time data from a BeamNG vehicle simulation, Pupil Labs eye-tracking system, hand-tracking, and cardiac data. This integration allows the simultaneous recording and analysis of multiple data streams, which can be visualized and controlled through a graphical user interface (GUI) built with Tkinter. The application is designed to help researchers and engineers analyze driving behavior under different conditions, enabling a deeper understanding of the interactions between the driver and automated driving functions.

Open Access: Yes

DOI: 10.3390/engproc2024079018

Comprehensive Analysis of the Factors Affecting the Energy Efficiency of Electric Vehicles and Methods to Reduce Consumption: A Review †

Szabolcs Kocsis Szurke Gábor Saly Ferenc Szauter

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The increasingly stricter environmental regulations and standards aim to reduce the ecological impact of vehicles and promote the sustainable use of natural resources. Improving the energy efficiency of vehicles has become a priority in recent decades. This is a key issue for vehicle development, production, and operation. Several studies and measurements have been conducted to accurately determine vehicles’ energy consumption. This research has investigated and categorized the factors according to external impacts, losses due to vehicle properties, and the effects of vehicle control and energy reduction methods. A better understanding of these factors is crucial for improving energy efficiency.

Open Access: Yes

DOI: 10.3390/engproc2024079079

Testing Sustainable 3D-Printed Battery Housings with DIC Technology †

Szabolcs Fischer Szabolcs Szalai Brigitta Fruzsina Szívós Vivien Nemes

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Three-dimensional printing has rapidly gained traction in the automotive industry, offering significant benefits in terms of design flexibility, production speed, and cost efficiency. However, as the use of 3D printing grows, there is a rising focus on incorporating sustainable materials to minimize the environmental footprint of automotive components. This study centers on using eco-friendly, 3D-printable materials to produce electric vehicle battery covers. The primary goal is to assess these sustainable battery housings’ mechanical properties, durability, and overall feasibility. Additionally, the research explores the potential of foaming polylactic acid filaments in measurement applications using Digital Image Correlation technology, which is widely employed in the automotive sector. The study also evaluates these housings’ manufacturability and real-world applicability, offering insights into their role in the future of automotive production, where sustainability is becoming increasingly important. The research seeks to contribute to the broader movement toward greener manufacturing processes within the automotive industry by conducting these analyses.

Open Access: Yes

DOI: 10.3390/engproc2024079069

ENERGY ANALYSIS OF BUILDINGS WITH LARGE GLAZED SURFACES

T. Horváth Zsolt Szűrös Rita Rebeka Ördög

Publication Name: Iet Conference Proceedings

Publication Date: 2024-01-01

Volume: 2024

Issue: 8

Page Range: 58-64

Description:

Modern architecture has brought new opportunities with the development of industry and technology. Among other things, it has become possible to visually connect the interior and exterior spaces with transparent structures, while providing climatic separation. Since the first modern buildings of Frank Lloyd Wright and Mies van der Rohe, large glazed surface buildings have gained considerable ground. Through the examination of a case study, the research looks for the answer to which of the possible structural solutions for buildings with large surfaces of glass are double or triple glazing, the use of internal or external, or fixed or movable shading is it more beneficial from a building energy point of view, in order to create the comfort of the interior space. The tests were carried out according to the calculations of the 7/2006 TNM decree and also according to the rules of the 9/2023 ÉKM decree, in force from November 2023.

Open Access: Yes

DOI: 10.1049/icp.2024.2682

Exploring the Influencing Factors of Big Data Analytics Adoption in Manufacturing Firms: A Survey Analysis

László Buics Mouhyar Saad Eddin

Publication Name: International Scientific Business Conference Limen Leadership Innovation Management and Economics Integrated Politics of Research

Publication Date: 2024-01-01

Volume: 2024

Issue: Unknown

Page Range: 689-697

Description:

Due to its attractive possibilities and potential benefits, the use of big data analytics is gaining popularity in both real operations and theoretical discourse. The goal of this research is to identify the factors that influence the adoption of big data analytics and their impact on the performance of supply chains in the manufacturing industry, examining how information sharing between firms affects this relationship with the help of a survey to collect and analyze data, with a sample size of 200 respondents. The study discovered that technological, organizational, environmental, and perceived risk factors all had a significant impact on big data analytics adoption. The study's findings also show a substantial and favorable relationship between big data analytics adoption and supply chain performance. Finally, it was observed that the act of sharing information had a moderating effect on the link between big data analytics adoption and firm performance.

Open Access: Yes

DOI: 10.31410/LIMEN.2024.689

The Role of Clusters: Past, Present and Future of the Pannon Thermal Cluster

Veronika Keller Erzsébet Printz-Markó Elisabeta Ilona Molnar Ferenc Darabos

Publication Name: Springer Proceedings in Business and Economics

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 415-432

Description:

The study examines the spectrum of the thermal and wellness clusters related to water-based health tourism in Hungary. The research is looking for an answer regarding the effects of the organization in clusters from the point of view economic, social and cultural in the thermal baths sector. In this sense, literary research and processing were carried out, and mixed-type professional interviews were conducted. Bearing in mind the unexplored dimensions of thermal clusters in Hungary, the research highlights three areas of action: proactivity, economic incorporation and innovation. The results of these three key defined potentials and the discovery of innovation reserves are the ones that will be addressed primarily in the future. These steps boost health tourism and associated activities. The clusters operating in the field, primarily Pannon Thermal Cluster—PANTERM, have hidden reserves and untapped potentials within the operational frames of the cluster organization. The discovery of the potential in the clusters may drive innovation.

Open Access: Yes

DOI: 10.1007/978-3-031-59858-6_28