Jozsef Homlok

36179740100

Publications - 4

Altered blood glucose dynamics during and after anhepatic phase of liver transplantation: A model-based approach

Balázs Benyó J. Geoffrey Chase Jozsef Homlok Paul Docherty K. Kovács

Publication Name: Ines 2013 IEEE 17th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2013-12-12

Volume: Unknown

Issue: Unknown

Page Range: 65-68

Description:

During liver transplantation (LT) the glucose metabolism is effected by a crucial disturbance. The blood glucose level is extremely hard to control by conventional clinical protocols during this phase. Model based approach can enhance the blood glucose control during the anhepatic phase (absence of liver) and post-anhepatic phase. The physiological constants of validated clinical metabolic model were slightly modified based on previous studies. The model fitting errors and the sufficient capture of the blood glucose (BG) dynamic evinced the applicability of the model. However the sufficient per-patient estimation of endogenous production could more enhance the performance of the model based BG prediction. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2013.6632784

Video based urban traffic analysis in signalized intersections

Balázs Benyó Jozsef Homlok K. Kovács

Publication Name: Ines 2011 15th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2011-08-22

Volume: Unknown

Issue: Unknown

Page Range: 319-324

Description:

Nowadays it is a frequent problem that, the infrastructure-development of land transportation comes up against space limits in many cases, moreover the growth of traffic doesn't slack up. This is particularly typical for urban traffic, effecting traffic jams, lags; not to mention the problem of air pollution. In this case the requirements of sustainable development can be satisfied by the optimization of the existing infrastructure. This procedure always begins by observing, collecting and processing information, followed by model creation. In the next step the identified model will help us to analyze even the most extreme situations through different simulation environments and to prepare different traffic analyses. © 2011 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2011.5954766

Model-based analysis of traffic flow in signalized intersections

Jozsef Homlok K. Kovács

Publication Name: Ines 2010 14th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2010-07-26

Volume: Unknown

Issue: Unknown

Page Range: 189-194

Description:

Traffic systems are man-made systems in which the human component as a complex factor plays a significant part. [1] The aim of the research was to offer a method which is applicable for setting the real traffic situations at a signalized intersection against the simulated ones, using a traffic model with similar statistical features. The simplest technical apparatus has been used to monitor the real traffic situations. Only one video camera is needed for data collection and it is located in the observable area. Hence time-dependent parameters have been collected which are available for the analysis of the traffic situations. In the case of both traffic models the analysis is based on a behavior model of inhomogeneous driver-populations and an estimation method. The behavior model of inhomogeneous driver-populations handles the time-dependent parameters of driver behavior as the most important predictors, describes the movement and the behavior of the inhomogeneous driver-populations approaching a signalized intersection, passing the amber signal light. The estimation method developed using the model parameters opens the door to estimating the composition of drivers and measuring the capacity of an intersection on a more sensitive scale. © 2010 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2010.5483849

A novel behavior model based estimation method for the traffic capacity of signalized intersections

Jozsef Homlok K. Kovács

Publication Name: 17th ITS World Congress

Publication Date: 2010-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Traffic systems are man-made systems in which the human component as a complex factor plays a significant part. (1) The realistic modeling of them is extremely complicated. The aim of the paper is to present a traffic behavior model of inhomogeneous driver-populations and a corresponding estimation method. The traffic behavior model is developed for describing traffic flow in a signalized intersection. It works with inhomogeneous driver populations; different type of drivers may make different decisions in the same traffic situation. This way various driver types can be defined like aggressive, normal or conservative etc. drivers. The model focuses on the movement and the behavior of the inhomogeneous driver-populations approaching a signalized intersection, passing the amber signal light. The developed estimation method is intended to define the distribution of different driver types. This theory can allow an extensive and more complex traffic analysis on a more sensitive scale. The paper details the steps of the estimation process and the validation and introduces the results of the application of the estimation method with real experiments.

Open Access: Yes

DOI: DOI not available