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Publications - 6374

Adaptive Adjustments in Lower Limb Muscle Coordination during Single-Leg Landing Tasks in Latin Dancers

János Gál Yaodong Gu Gusztáv Fekete Minjun Liang Datao Xu Xiangli Gao Tianle Jie

Publication Name: Biomimetics

Publication Date: 2024-08-01

Volume: 9

Issue: 8

Page Range: Unknown

Description:

Previous research has primarily focused on evaluating the activity of individual muscles in dancers, often neglecting their synergistic interactions. Investigating the differences in lower limb muscle synergy during landing between dancers and healthy controls will contribute to a comprehensive understanding of their neuromuscular control patterns. This study enrolled 22 Latin dancers and 22 healthy participants, who performed a task involving landing from a 30 cm high platform. The data were collected using Vicon systems, force plates, and electromyography (EMG). The processed EMG data were subjected to non-negative matrix factorization (NNMF) for decomposition, followed by classification using K-means clustering algorithm and Pearson correlation coefficients. Three synergies were extracted for both Latin dancers and healthy participants. Synergy 1 showed increased contributions from the tibialis anterior (p < 0.001) and medial gastrocnemius (p = 0.024) in Latin dancers compared to healthy participants. Synergy 3 highlighted significantly greater contributions from the vastus lateralis in healthy participants compared to Latin dancers (p = 0.039). This study demonstrates that Latin dancers exhibit muscle synergies similar to those observed in healthy controls, revealing specific adjustments in the tibialis anterior and medial gastrocnemius muscles among dancers. This research illustrates how dancers optimize control strategies during landing tasks, offering a novel perspective for comprehensively understanding dancers’ neuromuscular control patterns.

Open Access: Yes

DOI: 10.3390/biomimetics9080489

Performance prediction of conservative parallel discrete event simulation

No authors available

Publication Name: 8th International Industrial Simulation Conference 2010, ISC 2010

Publication Date: 2010-01-01

Volume:

Issue:

Page Range: 214-219

Description:

In a previous paper, a quantitative criterion has been proposed for efficient execution of the Null Message Protocol, the best-known conservative parallel discrete event simulation (PDES) protocol. The criterion is based on a novel concept of the coupling factor, and allows one to use intuitive and easy-to-measure input parameters. The criterion can be used to assess simulation models' potential for parallel execution as well as the maximum partitioning that may still potentially yield good performance. This paper deals with experimental verification of the proposed rule that a large coupling factor is a necessary precondition for getting a good speed-up with conservative parallel simulation. A closed queueing network is used as simulation model, and it is run on up to 24 CPU cores. It is shown that the criterion provides a quick and convenient way to determine whether a simulation model has a potential for speed-up before actually investing work in the parallelization.

Open Access: No

DOI: DOI not available

Nonlinear systems controller design as a result of uninorm tuning

Claudiu Radu Pozna Márta Takács Áron Ballagi Laszlo T. Koczy

Publication Name: 2011 2nd International Conference on Cognitive Infocommunications Coginfocom 2011

Publication Date: 2011-09-23

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The quality of a Fuzzy Logic Controller (FLC) for control nonlinear systems highly depends on the used operators. Using the uninorm operators in these processes the FLC components can be adapted to achieve better results. The program language environment, applied by simulation, supports the choosing of suitable fuzzy operators and their parameters. The simulation results are analyzed, depending on the efficiency of the operator choice in approximate reasoning model. © 2011 Scientific Assoc Infocomm.

Open Access: Yes

DOI: DOI not available

Control model for loading systems using higher order singular value decomposition

Gabriella Orbán András Rövid Peter Varlaki

Publication Name: Proceedings 2011 IEEE International Conference on Computer Science and Automation Engineering Csae 2011

Publication Date: 2011-08-25

Volume: 3

Issue: Unknown

Page Range: 754-758

Description:

In this paper we present a method for constructing a control model of loading systems based on higher order singular decomposition (HOSVD) of a tensor. Modern logistics need control systems that are able to develop and improve the material and information flow by automating the control processes. We propose the application of linear parameter varying (LPV) structure by which non-linear systems can be controlled on the basis of linear control theories. Describing the system, modeling logistic processes require many uncertain input parameters. Using the proposed method the complexity of the model can be kept on a lower level. © 2011 IEEE.

Open Access: Yes

DOI: 10.1109/CSAE.2011.5952783

Fuzzy communication in collaboration of intelligent agents

Áron Ballagi Laszlo T. Koczy

Publication Name: Proceedings of the 9th Wseas International Conference on Applied Computer and Applied Computational Science Acacos 10

Publication Date: 2010-12-01

Volume: Unknown

Issue: Unknown

Page Range: 208-214

Description:

This paper presents some examples for fuzzy communication and intention guessing from the real life to the cooperation of intelligent mobile robots. In a special experimental environment a new communication approach is investigated for intelligent cooperation of autonomous mobile robots. Effective, fast and compact communication is one of the most important cornerstones of a high-end cooperating system. In this paper we propose a fuzzy communication system where the codebooks are built up by fuzzy signatures. We use cooperating autonomous mobile robots to solve some logistic problems.

Open Access: Yes

DOI: DOI not available

AIBA: An AI Model for Behavior Arbitration in Autonomous Driving

Claudiu Radu Pozna Sorin M. Grigorescu Bogdan Trăsnea

Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

Publication Date: 2019-01-01

Volume: 11909 LNAI

Issue: Unknown

Page Range: 191-203

Description:

Driving in dynamically changing traffic is a highly challenging task for autonomous vehicles, especially in crowded urban roadways. The Artificial Intelligence (AI) system of a driverless car must be able to arbitrate between different driving strategies in order to properly plan the car’s path, based on an understandable traffic scene model. In this paper, an AI behavior arbitration algorithm for Autonomous Driving (AD) is proposed. The method, coined AIBA (AI Behavior Arbitration), has been developed in two stages: (i) human driving scene description and understanding and (ii) formal modelling. The description of the scene is achieved by mimicking a human cognition model, while the modelling part is based on a formal representation which approximates the human driver understanding process. The advantage of the formal representation is that the functional safety of the system can be analytically inferred. The performance of the algorithm has been evaluated in Virtual Test Drive (VTD), a comprehensive traffic simulator, and in GridSim, a vehicle kinematics engine for prototypes.

Open Access: Yes

DOI: 10.1007/978-3-030-33709-4_17

Controlled Fuzzy 2-Metric Spaces: A Soft Computing Framework with Dynamic Applications

Clemente Cesarano Osama Oqilat Hijaz Ahmad Tarapada Bag Abhishikta Das Waleed Mohammed Abdelfattah Dipti Barman Osama Oqilat

Publication Name: International Journal of Analysis and Applications

Publication Date: 2026-01-01

Volume: 24

Issue: Unknown

Page Range: Unknown

Description:

In this article, we introduce the concept of a controlled fuzzy 2-metric space, formulated by incorporating three control functions that flexibly regulate the fuzzy distance relationships among triplets of points. This structure provides a flexible analytical tool for modeling systems influenced by uncertainty, interdependence, and approximate reasoning. We establish several fundamental properties of this structure and derive fixed-point results. To demonstrate its practical relevance, we apply the proposed framework to a dynamic market-equilibrium problem, in which agents’ interactions are governed by fuzzy relations and control-dependent adjustments. The study also discusses implications for soft computing and decision-making systems, highlighting the framework’s potential in modeling adaptive and uncertain environments.

Open Access: Yes

DOI: 10.28924/2291-8639-24-2026-110

Placebo and nocebo interventions impact perceived but not actual proprioceptive accuracy

Ferenc Köteles Orsolya Drozdovszky Áron Horváth Blanka Aranyosy Attila Szabo

Publication Name: Plos One

Publication Date: 2024-08-01

Volume: 19

Issue: 8

Page Range: Unknown

Description:

Changes in performance caused by positive and negative expectations (i.e., placebo and nocebo responses) were found to play an important role in many aspects of motor performance. This study aimed to test the impact of placebo/nocebo responses and the assumed moderating role of dispositional optimism and anxiety on proprioceptive accuracy, an essential aspect of motor functions. 78 undergraduate university students completed questionnaires assessing dispositional optimism, state anxiety, and motivation to cooperate, then were randomly assigned to three experimental groups. A sham subliminal electric stimulation was applied with claimed positive (placebo group, n = 26), negative (nocebo group, n = 26) or neutral (control group, n = 26) impact on proprioceptive accuracy. Proprioceptive accuracy was measured with active and passive versions of the Joint Position Reproduction task before and after the intervention. Expected and perceived changes in performance were also assessed; changes in state anxiety, optimism, and motivation to cooperate were used as control variables (covariates). Mixed analyses of variance indicated that the experimental manipulation did not affect actual proprioceptive accuracy but impacted expected and perceived performance. Adding the covariates to the models did not substantially change the results. Further, no significant association emerged between actual and perceived change in performance in the active test, and only a weak correlation was found in the passive test. Expected performance did not predict actual performance but predicted perceived performance in both tasks. The results suggest that only perceived (subjective) aspects of proprioceptive accuracy are susceptible to placebo and nocebo interventions.

Open Access: Yes

DOI: 10.1371/journal.pone.0307072

Ecological Footprint Analysis of Tramway Track Structures

Zoltán Major Cecilia Szigeti Áron Szennay Róbert Horváth

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 283-288

Description:

The European urban landscape has been constantly evolving in the last 70 years since the Second World War. Thus, European cities are developing their own public transport networks. Urban rail transportation, namely trams, can be considered a mobility option with (1) high capacity, (2) relatively low life-cycle cost, and (3) low Greenhouse Gas (GHG) emission. Developing green urban transport systems requires, however, using a more comprehensive and complex approach. To do this, infrastructure operators should consider the environmental aspects of construction projects in the decision-making process. This article analyses the construction and maintenance issues of a very common and widespread tramway superstructure from the environmental point of view, using the methodology of ecological footprint calculations. Considering environmental impacts is highly recommended as early as the design stage by selecting the most suitable construction materials and technologies. Therefore, structural and vibration-damping solutions are compared that are equivalent in terms of technical suitability to highlight CO2 emissions and ecological footprint during the production and life cycle of each building material. The results suggest that a multi-directional assessment can help to develop a more sustainable, liveable and environmentally friendly urban transport without major trade-offs. The article also shows how the ecological footprint of the designed track structure changes when it is optimised to minimise the environmental impact. Such a change could result in a reduction of up to 20 % in the ecological footprint.

Open Access: Yes

DOI: 10.3303/CET23107048