Search in Publications

Found 6427 publications

Model Predictive Planning and Control for Naturalistic Automated Driving

Publication Name: Cinti 2025 IEEE 25th International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 45-50

Description:

The evolution of Advanced Driver Assistance Systems (ADAS) has reached a stage of maturity where the social acceptance of these systems is becoming as important as coping with technical challenges. Most users complain that ADAS functions behave unnaturally, and they feel anxious because the driving system behaves in a way that is far from what the user prefers. One of the most controversial ADAS functions is Lane Keeping Assistance (LKA). This system detects the edge of the lane and drives the car actively by intervening on the steering wheel. Most available lane keeping follows the center of the lane, while the vehicle controller oscillates and often deviates from this line. Most people find this operation disturbing and unreliable. In our work, we propose a comprehensive Model Predictive Planner and Control that preserves the basic concept of how human drivers drive: they instinctively create the combined representation of the environment and the vehicle, and predictevely plan their action trajectory (i.e., steering angle). This method does not divide the driving task into planning and control, thereby improving tunability. On the other hand, the method provides direct relation to vehicle dynamics and high-level policies, and therefore it can be validated easier than end-to-end trained functions, such as neural networks. The initial algorithm is implemented in MATLAB and validated via simulation. The test script and the data can be accessed upon request11https://github.com/jkk-research/jkk_controllers/tree/prototype/mppc

Open Access: Yes

DOI: 10.1109/CINTI67731.2025.11311824

Comparative analysis of interpolative and non-interpolative fuzzy rule based machine learning systems applying various numerical optimization methods

Publication Name: 2010 IEEE World Congress on Computational Intelligence Wcci 2010

Publication Date: 2010-11-25

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In this paper interpolative and non-interpolative fuzzy rule based machine learning systems are investigated by using simulation results. The investigation focuses mainly on two objectives: to compare the efficiency of the inference techniques combined with different numerical optimization methods for solving machine learning problems and to discover the difference between the properties of systems applying interpolative and non-interpolative inference techniques. © 2010 IEEE.

Open Access: Yes

DOI: 10.1109/FUZZY.2010.5584156

Parameter-Driven Campbell Diagram Variations in Turbocharger Rotors: A Rotordynamic Simulation Study Using ROSS †

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This study investigates the influence of rotor design parameters on the Campbell diagrams of automotive turbocharger rotors using rotordynamic simulations. A finite element model of the rotor is developed within the Python-based ROSS package, incorporating key parameters such as disk mass, lubricant viscosity, and bearing positioning. Employing this model, simulations are conducted to generate Campbell diagrams across a range of operational speeds. The analysis focuses on how variations in these parameters affect the critical speeds and corresponding vibration modes identified in the Campbell diagrams. The results provide valuable insights into the rotordynamic behavior of automotive turbochargers and their sensitivity to design choices. This information can be utilized to optimize rotor design for improved stability, reduced noise generation, and enhanced overall performance.

Open Access: Yes

DOI: 10.3390/engproc2024079058

Comparative Analysis of Driving Performance and Visual and Physiological Responses Between Professional and Civilian Drivers in Simulated Environments

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-11-01

Volume: 15

Issue: 22

Page Range: Unknown

Description:

Current research and development in understanding road users’ driving behaviors play a key role in improving traffic safety. Recently, several driving simulators have been employed as a suitable approach to investigate several drivers’ responses in challenging traffic scenarios. Although professional drivers represent a particular category among driving populations, the body of literature about their comparative behavioral and psychological characteristics remains limited. This study examined the differences in driving performance and visual and physiological responses between civilian and professional drivers in a simulated environment. A total of 30 drivers, with an equal split between professional and civilian categories, took part in a series of driving simulations. The simulations incorporated various infrastructure types, including four cone avoidance tasks and a high-speed motorway task. This study collected comprehensive data on performance metrics, hand usage, heart rate, and eye movements. Eye-tracking technology was used to measure visual attention. The findings revealed that during cone avoidance scenarios, civilian drivers exhibited a similar performance, visual behavior, and physiological response, except for the speed, experiment duration, and throttle, to professional drivers. In the motorway scenario, all metrics showed no significant difference between the two driver groups. These results highlight the need for cautious interpretation, particularly given the limitations of the sample. Revalidation is needed in larger studies, especially for understanding the differences between drivers’ metrics, which is crucial to elevate drivers’ safety, and assessing training programs in Hungary.

Open Access: Yes

DOI: 10.3390/app152212024

Effects of Loading Positions on Lower Limb Biomechanics During Lunge Squat in Men with Different Training Experience

Publication Name: Physical Activity and Health

Publication Date: 2025-01-01

Volume: 9

Issue: 1

Page Range: 198-213

Description:

Background: The lunge exercise is commonly adopted in public fitness programs. However, inadequate training experience and knowledge may result in improper actions, resulting in lowering training efficacy and possibly causing exercise-related diseases. Methods: Twenty-four male fitness trainees (12 novices and 12 experienced seniors) were recruited. Kinematics, kinetics, and muscle activation were measured during forward and backward lunges with different loading positions. Two-way repeated measures ANOVA and one-dimensional statistical parametric mapping (SPM1D) were employed to explore various between training experience across different loading positions and lunge directions. Results: Hip, knee, and ankle ROM and angle peaks were significantly greater in novices than in seniors (P < 0.001). During forward lunges, dumbbells reduced hip moments and stiffness in novices (P < 0.001), while barbells increased ankle moments in seniors (P = 0.022). In the backward lunges, novices showed increased negative power and significant joint instability with dumbbells. Conclusions: Training experience is the significant influence during male lunge exercises. Novices show more stability when using dumbbells instead of barbells for forward lunges. Novices are less stable during backward lunges than more experienced seniors. Overall, novices get a greater benefit of training with dumbbells, while seniors are less likely to hurt their knees and ankles when they use barbells.

Open Access: Yes

DOI: 10.5334/PAAH.489

Reducing packaging waste by GIS applications

Publication Name: Green Design Materials and Manufacturing Processes Proceedings of the 2nd International Conference on Sustainable Intelligent Manufacturing Sim 2013

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 443-447

Description:

In the 21st century, the role of electronic gadgets has reached an unexpected limit where they can literally support every aspect of our lives. Not only have the variety of their knowledge-base and the services they provide reached surprising high levels which are now able to support mobility around the globe, but also these gadgets have created new possibilities to measure, collect and save data. The purpose of this article is to present current packaging methods, but also to investigate and specify the actual stress on our products so that we can quantify the real exposure we want to avoid. The importance of this investigation is that if we could find a method to measure and quantify the correct data of the actual stress, it would provide a effective base for reducing the quantity of the packaging materials used. This is especially the case of those products transported on pallets and therefore we could significantly reduce not only the quantity of the base material used for packaging but also the amount of the left over waste resulting from packaging material globally. As an addition to all the above mentioned factors, the topic also gives an interesting perspective on how the savings on the packaging materials could reduce the cost of these products and so provide companies a way to serve their clients in a more cost effective way and an option to offer their products for a much cheaper price and hence gain a larger market share. © 2013 Taylor & Francis Group.

Open Access: Yes

DOI: 10.1201/b15002-86

Optimizing second-order differential equation systems

Publication Name: Electronic Journal of Differential Equations

Publication Date: 2011-05-09

Volume: 2011

Issue: Unknown

Page Range: 1-16

Description:

In this article we study some continuous versions of the Fletcher-Reeves iteration for minimization described by a system of second-order differential equations. This problem has been studied in earlier papers [19, 20] under the assumption that the minimizing function is strongly convex. Now instead of the strong convexity, only the convexity of the minimizing function will be required. We will use the Tikhonov regularization [28, 29] to obtain the minimal norm solution as the asymptotically stable limit point of the trajectories. c 2011 Texas State University - San Marcos.

Open Access: Yes

DOI: DOI not available

Benefits of lethal pandemics: Direct impact of contagious diseases on public administration in Hungary (1867-1914)

Publication Name: Amha Acta Medico Historica Adriatica

Publication Date: 2013-02-01

Volume: 11

Issue: 2

Page Range: 213-222

Description:

The reconciliation of 1867 between Austria and Hungary brought great changes to Hungarian public administration: the way towards the building up of a modern public administration had been opened. Although there was a functioning public health system and a related legislation from the late 18th century, major issues - such as balanced geographical distribution of medical personnel, fair access to medical services even in the poorer regions of the country, and the effective protection against some contagious diseases - were not resolved for decades. During the reform work of public administration since the 1870s, the lawmakers touched repeatedly the framework and functioning of the public health as well. Although the general conditions of the domain depended traditionally on the municipalities and counties due to the national importance of the matter, the government made efforts to make the functioning of the public health more efficient through centralisation. The contagious diseases continuously endangered the population, revealing the weak points in the existing public health system, thereby giving a momentum to the reforms and helping the government in its organization of prevention and clearly contributing to the legislation work.

Open Access: Yes

DOI: DOI not available

A New Type of Motor Topology for Reducing the Torque Ripples in Synchronous Reluctance Motor Drives of Electric Vehicles

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 528-540

Description:

Electric vehicle applications are one of the most popular topics in the case of electric motor research & development activities. Novel types of electric motor solutions, offering new advantages are gaining significant attention today. Synchronous reluctance motors (SynRMs) have several advantages that are particularly useful in the case of electric vehicle applications. Their lower costs, their robust buildup and their excellent efficiency are all features that are greatly desired in the case of electric mobility applications. However, SynRMs are well known in the literature for producing more torque ripples with the conventional torque control methods. One way to reduce the torque ripples is to use advanced torque control algorithms. The other way is to use optimized motor topologies with the conventional torque control algorithms. The paper aims at the investigation of the motor design concepts that could be applied for reducing the torque ripples of a SynRM drive. It will be analyzed whether the typical relationships and concepts that are used for minimizing the torque ripples in the case of a PMSM can also be applied for a SynRM or not. Simulations will be carried out in JMAG environment to validate the new concepts. The reduced amount of the torque ripples leads to a less amount of audible noise, which can be an advantage in the case of certain electric vehicle applications and for certain customers.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_48