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Found 6273 publications

A logic model for inference chains in expert systems

Jozsef Sziray

Publication Name: International Conference on Artificial Intelligence and Pattern Recognition 2007 Aipr 2007

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: 243-248

Description:

This paper deals with the calculations performed in the reasoning process of rule-based expert systems, where inference chains are applied. It presents a logic model for representing the rules and the rule base of a given system. Also, the fact base of the same expert system is involved in the logic model. The proposed equivalent representation manifests itself in a logic network. After that, a four-valued logic algebra is introduced. This algebra is used for the calculations where forward chaining is carried out. Next, the notion of line-value justification is described. This operation is applied in the backward chaining process, also on the base of the previously introduced four-valued logic. The paper describes two exact algorithms which serve for the forward and backward chaining processes. These algorithms make it possible to be implemented by a computer program, resulting in an efficient inference engine of an expert system. The achieved result enhances the reliability and usability of the intelligent software systems which is extremely important in embedded environments.

Open Access: Yes

DOI: DOI not available

Dynamic seismic analysis of bridge using response spectrum and time history method

Rajmund Kuti M. Brinissat Z. Louhibi

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-05-26

Volume: 14

Issue: 2

Page Range: 171-185

Description:

Dynamic analysis is very important to better understand the performance of structural elements of a bridge. For this purpose, a seismic analysis of an Algerian highway bridge designed with the new Algerian seismic bridge regulation (RPOA-2008) was carried out using linear and nonlinear analyses. Therefore, response spectrum, time history analyses were performed to evaluate the seismic responses of the designed bridge. The performance of the designed bridge is assessed using 10 ground motion records. The proposed methodology allows an efficient comparison of the seismic response of the bridge in terms of base shear forces, bending moment and displacements. Finally, the paper concludes with a discussion of the specific outcomes.

Open Access: Yes

DOI: 10.14513/actatechjaur.00595

Localization in a Head-Related Transfer Function-based virtual audio synthesis using additional high-pass and low-pass filtering of sound sources

György Wersényi

Publication Name: Acoustical Science and Technology

Publication Date: 2007-08-02

Volume: 28

Issue: 4

Page Range: 244-250

Description:

Listening tests were carried out for investigating the localization judgments of untrained subjects through equalized headphones and with HRTF synthesis. The investigation was made on the basis of the former 'Graphical User Interface for Blind Persons' project in order to determine the possibilities of a 2D virtual sound screen and headphone playback. 50 untrained subjects evaluated a virtual audio display in front of the listener using different horizontal and vertical resolutions on a 2D surface. A listening test using white and filtered noise signals was followed by a special investigation using simple high-pass and low-pass filtering of the original sound in order to increase correct vertical localization judgments. The simulation uses high-pass filtering for higher elevations and low-pass filtering for lower elevations in a 5 × 2 and a 3 × 3 spatial resolution. Results of the listening test will be presented and the efficiency of the filtering in correct localization judgments will be discussed. © 2007 The Acoustical Society of Japan.

Open Access: Yes

DOI: 10.1250/ast.28.244

On modeling and identification of empirical partially intelligible white noise processes

András Rövid Peter Varlaki László Palkovics

Publication Name: Asian Journal of Control

Publication Date: 2021-05-01

Volume: 23

Issue: 3

Page Range: 1262-1279

Description:

The paper discusses the identification of the empirical, partially intelligible white noise processes generated by deterministic numerical algorithms. The introduced fuzzy-random complementary approach can identify the inner hidden correlational patterns of the empirical white noise process if the process has a real hidden structure of this kind. We have shown how the characteristics of autocorrelated white noise processes change as the order of autocorrelation increases. Based on this approach, the original empirical white noise process transformed by the autocorrelation operator can be considered to be random data series (randomlikeness), and at the same time, it has function-like characteristics (functionlikeness), as well. We approach the analysis of the mentioned complementarity by modeling the autocorrelation functions of the empirical white noise processes using tensor product (TP) model transformation.

Open Access: Yes

DOI: 10.1002/asjc.2470

The Role of Financial Performance and Sustainability Reporting in the Competitiveness of Hungarian Agricultural Enterprises

Károly Kacz Szabolcs Troján Judit Hegyi Éva Szalka Judit Makkos-Káldi

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 49-54

Description:

The agricultural sector faces numerous challenges and opportunities that influence farmers’ stability and competitiveness, while enterprises are increasingly required to report on their efforts to promote environmental sustainability. In Hungary, sustainability reporting is regulated by law. The relevant requirements entered into force on 1 January 2024 and will be gradually extended to an increasing number of companies. This study examines the economic and financial performance of a sample of Hungarian agricultural enterprises between 2019 and 2023, with particular emphasis on the rate of sustainable development. Financial indicators were employed to evaluate the performance of the enterprises, while sustainable growth was assessed using the five-step DuPont model. The application of this methodology supports improvements in cost-efficiency, asset optimisation, and the mitigation of financial risks. In addition to the financial analysis, the sustainability reports of large companies subject to the reporting requirements of the Hungarian Accounting Act were also examined using qualitative content analysis. The analysis reveals correlations between indicators of economic and environmental sustainability. The findings of the research contribute to the development of sustainable agricultural policy, support the design of targeted subsidy schemes, and promote the effective implementation of sustainability reporting practices. Although the present study is limited to agricultural enterprises applying double-entry bookkeeping and, for sustainability reporting purposes, includes only the TOP 500 companies, it provides a foundation for a broader sustainability analysis of agricultural enterprises in the future.

Open Access: Yes

DOI: 10.3303/CET25121009

Report on the E-TEMS 2023 Doctoral Workshop

Lydia Kaiser Xolani Maphisa Tamás Gyulai Tatenda Katsumbe Felix Rehmann Ayanda Ntanda Constantin Von Beck

Publication Name: 2023 IEEE European Technology and Engineering Management Summit E Tems 2023 Conference Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-7

Description:

The doctoral workshop is a crucial element of the IEEE E-TEMS conference series, aiming to engage researchers in the early stages of their research work. This report discusses the implementation of the workshop in 2023, which was the first on-site workshop in the conference series. The submitted and presented research projects are presented, addressing the following topics: 'Restorative Social Justice through Digital Transformation in South African Metropolitan Cities', 'Understanding the Future Role of Energy Communities in Renewable System Integration', 'Developing a framework for analysis of Virtual District Models for planning and operation of district energy systems', 'Digital twins to improve Social Sustainability in Smart Cities', 'An integrated digital twin for city resources consumption optimisation', and 'Automated Technology adoption to accelerate technology adoption'. These thematic areas provide a foundation for collaborative discussions and knowledge exchange among the workshop participants, fostering interdisciplinary exploration and potential synergies. At the end, all participants give a short reflection on their experience of the workshop.

Open Access: Yes

DOI: 10.1109/E-TEMS57541.2023.10424605

Correction to: Response of wheat to combined application of nitrogen and phosphorus along with compost (Journal of Crop Science and Biotechnology, (2022), 25, 5, (557-564), 10.1007/s12892-022-00151-7)

Zoltán Molnár Tibor Janda Lamnganbi Mutum Tagesse Ergudo Wogene Kabato

Publication Name: Journal of Crop Science and Biotechnology

Publication Date: 2022-12-01

Volume: 25

Issue: 5

Page Range: 621

Description:

Due to unfortunate oversight author names have been misspelt.

Open Access: Yes

DOI: 10.1007/s12892-022-00155-3

Managerial Attitudes and the Integration of Artificial Intelligence: Impacts on Supply Chain Flexibility

P. Németh Andrea Rankl

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 145-150

Description:

Artificial intelligence (AI) is rapidly becoming a strategic driver of competitiveness in supply chain management (SCM), enhancing flexibility, efficiency, and responsiveness. However, successful adoption depends not only on technology but also on managerial attitudes and organizational culture. Understanding this behavioral dimension is essential in explaining how leadership influences AI-driven adaptability and resilience. This study develops a conceptual, interdisciplinary framework linking management theory, organizational psychology, and SCM to examine how leadership styles—particularly servant, transactional, and transformational—shape AI integration and adaptability. The proposed triadic model identifies managerial attitudes, AI-supported decision-making, and information sharing as key behavioral and technological enablers of supply chain flexibility. Findings highlight that innovation-oriented leadership and strong information-sharing cultures accelerate AI adoption and strengthen adaptive capacity, while hierarchical, risk-averse attitudes constrain its impact. The study contributes to a behavioral perspective of SCM, showing that flexibility in AI-enabled supply chains results from the interaction between human and artificial intelligence.

Open Access: Yes

DOI: 10.3303/CET25121025

Bananas, coffee and palm oil: The trade of agricultural commodities in the framework of the EU-Colombia free trade agreement

Laszlo Vasa Béla Soltész Julieth P.T. Cubillos

Publication Name: Plos One

Publication Date: 2021-08-01

Volume: 16

Issue: 8 August

Page Range: Unknown

Description:

Generally, research and studies about commodities focus on price trends, analysis in terms of international competitiveness, market position structure, rate of net exports, market share, and concentration index. This paper has developed an analysis of the most influential agricultural commodities traded from Colombia to European Union, which are bananas, coffee, and palm oil. Analyzing the economic and commercial effects in two traditional agricultural commodities from Colombia (bananas and coffee) with the rise of palm oil as a commodity in the trade relation with its partner; the European Union. The structure draws from the overview of general aspects and the behavior of Colombian foreign trade, as diversification of export products and trade partners, to focus on the characteristics of the trade relationship between the European Union and Colombia. The aim is analyze the proportional relation between bananas, coffee, and palm oil exported to the EU, according to three indicators, the volume of production, exports share, and trade value, from 2008 until 2019, identifying the trends before and after the implementation of the free trade agreement. Finally, with the coefficient correlation, determine the agricultural commodity that has the strongest and positive relationship with the total agricultural exports value from Colombia to the European Union.

Open Access: Yes

DOI: 10.1371/journal.pone.0256242