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Found 6383 publications

Parameter computation of the hand model in virtual grasping

Claudiu Radu Pozna Csaba Antonya Silviu Butnariu

Publication Name: 5th IEEE International Conference on Cognitive Infocommunications Coginfocom 2014 Proceedings

Publication Date: 2014-01-23

Volume: Unknown

Issue: Unknown

Page Range: 173-177

Description:

The aim of this paper is to identify the number of parameters of a hand model which can be computed during virtual grasping. The fingers of the user are tracked with various methods (position sensors and bending sensors) and the measured data is used to estimate the unknown parameter of the hand. An articulated hand model is constructed based on the assumption that the measured data is corrupted by noise and some of the hand's physical parameters are known. Virtual grasping and the parametric hand model are important, especially for force rendering in haptic feedback computation and to produce visually realistic results in hand-artifact interaction.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2014.7020440

Interplay of poverty, unemployment, education, and technology: Insights from Malaysia’s economic development strategies

Rabiul Islam Mohammad Fakhrul Islam Gazi Abu Horaira Sabina Sultana

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 10

Page Range: Unknown

Description:

Malaysia’s economic development strategies have evolved significantly since independence, focusing on reducing poverty, enhancing education, and integrating technology to foster sustainable growth. Despite substantial progress, challenges persist in achieving inclusive development across rural and urban sectors. This study examines the effectiveness of Malaysia’s New Economic Model (NEM) in addressing poverty and unemployment through technological and educational advancements. Employing a qualitative approach, it reviews literature on technology’s impact on economic growth, poverty alleviation, and the role of tertiary education in national development. Analysis reveals that while NEM initiatives have attracted foreign investment and improved infrastructure, gaps remain in educational access and technological self-reliance. The findings underscore the need for targeted policies that enhance educational outcomes, promote inclusive technology adoption, and address structural inequalities to achieve sustainable economic development. Recommendations include bolstering vocational training, enhancing rural infrastructure, and fostering public-private partnerships in technology innovation to ensure equitable economic progress.

Open Access: Yes

DOI: 10.24294/jipd.v8i10.6357

Building renovation cost optimization with the support of fuzzy signature state machines

Gergely Molnarka László T. Kóczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2015-01-01

Volume: 331

Issue: Unknown

Page Range: 129-138

Description:

The renovation of a significant segment of housing sector in Budapest, Hungary is overdue. Besides other causes, the absence of any effective tool that may support the decisions of the ownership communities in determining the technically verified steps and solutions in repair processes hinders the improvement of the physical condition of old residential houses. In this paper we propose a new formal method and approach for generating such tool that considers the costs and feasibilities of alternative renovation processes with professional data obtained from building diagnostics surveys, technical reports and contractors’ billing database. As a case study, a comprehensive renovation chain of the roof structure of a pre-war residential house will be evaluated.

Open Access: Yes

DOI: 10.1007/978-3-319-13153-5_13

Compensation of inharmonicity of piano strings with added masses

Mate Antali Péter Szalai

Publication Name: Journal of Physics Conference Series

Publication Date: 2026-01-01

Volume: 3190

Issue: 1

Page Range: Unknown

Description:

Bass strings of piano consists of a core string and a wire wound around the core. Although this construction is essential for creating strings with low frequency in the presence of moderate tension force, the increased bending stiffness shifts the overtones of the strings. This inharmonicity is more significant for upright pianos with shorter string lengths. In the literature, we can find conceptual ideas for compensation of this effect that is considered acoustically unpleasant. In the present research, we analyse the effect of adding concentrated masses to reduce the amount of inharmonicity. We focus on improvements in the acoustically most significant overtones. The proper parameters are found by using both a finite-element method and experiments.

Open Access: Yes

DOI: 10.1088/1742-6596/3190/1/012002

Green Energy-Related Financial Literacy and Its Impact on Social Entrepreneurship

Csongor Czipf Absalón J. Salmerón- Zapata José G. Vargas- Hernandez

Publication Name: Entrepreneurial Narratives of Women Driving Economic and Social Transformation in Latin America

Publication Date: 2025-11-13

Volume: Unknown

Issue: Unknown

Page Range: 131-156

Description:

This study looks at how financial literacy related to green energy affects the start-up, growth, and success of social entrepreneurship projects. This study examines the ways in which financial knowledge unique to green financing options, sustainable business models, and investments in renewable energy influences entrepreneurial decision-making and venture outcomes in the social sector through a thorough literature review and theoretical analysis. The results indicate that entrepreneurs' capacity to see possibilities, obtain suitable capital, and create workable company plans that tackle social and environmental issues is much improved by increased green energy financial literacy.

Open Access: Yes

DOI: 10.4018/979-8-3373-3511-7.ch005

Key Factors of Sustainability-Oriented Innovation on Competitiveness of SMEs: A Review

Tibor Dőry

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 31-36

Description:

Innovative solutions can promote sustainability and competitiveness by creating new products and services that are environmentally friendly while meeting customer needs. Sustainability-oriented innovation includes the integration of ecological and social aspects into products, processes, and organizational structures to avoid or reduce the environmental load and achieve greater benefits in the community. These types of innovations make intentional changes to a company’s products, services, or processes to generate long-term social and environmental benefits while creating economic profits for the firm. There are only a few literature review articles that investigate the link between sustainability-oriented innovations and firm competitiveness. Therefore, this systemic literature article aims to fill this research gap and present the results of a systematic literature review that focuses on the key factors affecting the sustainability innovation and competitiveness relationship. The results might trigger further research on the topic by digging deeper into the subject with case studies.

Open Access: Yes

DOI: 10.3303/CET23107006

Development of hybrid optimization approach combined with AI-based techniques for prediction of electrical fields in overhead transmission lines

Sid Ahmed Bessedik Rabah Djekidel Takieddine Meriouma Ragab A. El-Sehiemy

Publication Name: Journal of Supercomputing

Publication Date: 2025-11-01

Volume: 81

Issue: 16

Page Range: Unknown

Description:

Getting a precise estimate of electric fields around extra-high-voltage (EHV) transmission lines is essential for keeping the public safe, ensuring environmental compliance, and planning infrastructure effectively. Unfortunately, traditional numerical methods often struggle with accuracy and can be slow to converge, which makes them less suitable for large-scale projects. This study introduces a hybrid computational framework that combines the Charge Simulation Method (CSM) with the Firefly Algorithm (FA). This combination helps optimize the number, position, and strength of simulation charges, leading to better modeling accuracy and efficiency. Additionally, we have trained three artificial intelligence (AI) models: Multilayer Perceptron Neural Network (MLPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Least Squares Support Vector Machine (LS-SVM) on real-world field data to reliably predict electric field values. Notably, LS-SVM is being used in this context for the first time and has shown to outperform the other models in accuracy, generalization, and speed. We evaluated the proposed CSM-FA hybrid model alongside AI predictions using metrics like Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and the coefficient of determination (R2), revealing significant improvements over traditional methods. Given the heavy computational demands of the optimization and learning phases, we utilized high-performance computing (HPC) resources for implementation. This work not only advances algorithmic innovation and AI-assisted simulation but also enhances HPC applications, providing a scalable and precise solution for real-time field monitoring and regulatory assessments. The methodology aligns well with the scientific goals of The Journal of Supercomputing and fosters advanced research in intelligent power system modeling.

Open Access: Yes

DOI: 10.1007/s11227-025-08013-z

Optimization of masonry strength assessment procedure using fuzzy method

Vanda O. Pomezanski A. Dormány András Kaszás László T. Kóczy

Publication Name: Pollack Periodica

Publication Date: 2026-04-01

Volume: 21

Issue: 1

Page Range: 1-7

Description:

The aim of this paper is to show that the fuzzy signature model based on non-destructive in-situ measurements and visual inspection can be used to obtain equally reliable results on the strength of masonry as destructive tests. The fuzzy signature model was constructed to describe a masonry based on different measurements of. The aggregations of the signature were given as weighted geometric means. Weights of the input values of the aggregations were determined by two different optimization methods: (i) an iteration procedure was chosen, which showed significant differences in the result; (ii) a genetic algorithm was used, which produced similar but more accurate approximations to the results of the destructive tests. The comparison of the two optimization results gave new conclusions that are valuable information for the further development.

Open Access: Yes

DOI: 10.1556/606.2025.01309

Characterization of internal stresses in hybrid steel structures produced by direct metal laser sintering

József Gábor Kovács István Hatos Hajnalka Hargitai

Publication Name: Materials Science Forum

Publication Date: 2017-01-01

Volume: 885

Issue: Unknown

Page Range: 196-201

Description:

In this study hybrid structures were produced by direct metal laser sintering of maraging steel (MS1) powder onto the surface of commercial mold steels. The over-sintering method should be analyzed to find the optimum pre- and post-heat treatment to minimize the internal stresses. The internal stress is directly proportional to the deformation if the solid thick part is reduced to thin plate like parts. Based on this recognition the deformation of the plates over-sintered with MS1 could be analyzed in order to explore the internal stresses and the effect of different pre- and postheat treatments were examined.

Open Access: Yes

DOI: 10.4028/www.scientific.net/MSF.885.196