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Found 6289 publications

Microwave steam explosion and enzymatic hydrolysis of vine-branch

E. Lakatos V. Kapcsándi M. Neményi

Publication Name: Acta Alimentaria

Publication Date: 2018-09-01

Volume: 47

Issue: 4

Page Range: 443-452

Description:

Our research target was to utilise vine-branch, existing in huge amounts, for energetic purposes. During our experiments, microwave (MW) treatments of different powers (400-1600 W), pressures (1-5 bar), temperatures (120-180 °C), and treatment times (3-30 min) were applied to change the physical condition of vine-branch. After MW, enzymatic hydrolysis (EH) was used (85-100 h, 37 °C). In addition, beside MW, comparisons were made regarding various treatment methods: untreated (UTE), cooking plate (CP), and autoclave (AC), to determine to what extent they affect the final glucose yield. This yield can even further be increased by MW pre-treatment (50 W, 3-30 min, 40 °C) of the enzyme used during the hydrolysis, which reinforces the argument that enzyme activity can be increased by irradiation. A difference of 22.1% was detected among the glucose yield values in untreated and treated enzyme processes.

Open Access: Yes

DOI: 10.1556/066.2018.47.4.7

Ecological footprint at the micro-scale-how it can save costs: The case of ENPRO

Gabor Harangozo Cecília Szigeti Daniel Robert Szabo Gergely Toth

Publication Name: Resources

Publication Date: 2018-09-01

Volume: 7

Issue: 3

Page Range: Unknown

Description:

The Ecological Footprint (EF) has become a very popular alternative indicator of development in the last three decades. It can be widely used to show the unsustainability of total and individual levels of consumption in countries. But can EF be a meaningful indicator at the micro level as well This paper presents an argument on this issue. Based on a literature review including our own analysis and the correlation of EF with GDP and other alternative indicators, EF is evaluated at the macro level. Then, an original case study is presented, underpinning the applicability of EF on the company level, linking the ordinary corporate carbon footprinting with the EF method. Based on the findings, micro level EF calculations can help organizations in finding fields of intervention (inefficiencies and emission hotspots). EF accounting can also be used to evaluate the economic benefits of such measures after their realization.

Open Access: Yes

DOI: 10.3390/resources7030045

Viability of bifidobacteria in soft-frozen ice cream supplemented with a Saccharomyces cerevisiae cell wall product

T. Andok László Varga

Publication Name: Acta Alimentaria

Publication Date: 2018-09-01

Volume: 47

Issue: 3

Page Range: 387-392

Description:

The purpose of this research was to monitor the changes during storage in survival of bifidobacteria in a soft-frozen ice cream supplemented with a yeast cell wall-based product claimed to contribute to the functioning of the immune system. An ice cream mix was prepared and pasteurised. After overnight aging at 4 °C, it was inoculated with Bifidobacterium animalis subsp. lactis Bb-12. Two batches of the mix were supplemented with a commercial Saccharomyces cerevisiae cell wall product at 2.0% and 4.0% (w/w), whereas a third batch was left unsupplemented and served as control. The final mixes were frozen, and the three products were stored at –13 °C for 7 days. The ice creams contained viable bifidobacteria cells at levels exceeding 106 CFU g–1 throughout the storage period. Although the yeast supplement decreased the loss of viability of bifidobacteria during frozen storage of ice creams, it imparted a slightly bitter off-flavour to the samples and it also negatively influenced the original white colour of the product, thereby necessitating further work to develop flavoured varieties of the Saccharomyces cell wall-containing synbiotic ice cream.

Open Access: Yes

DOI: 10.1556/066.2018.47.3.15

Research of vehicle parameter and sensor systems necessary to control autonomous vehicles

Dániel Pup Gábor Szakállas József Polák

Publication Name: 2018 14th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Mesa 2018

Publication Date: 2018-08-27

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Our long-term goal is to implement autonomous vehicle control functions on a standard vehicle. At first we started with the investigation of the steering, which is a crucial area of the control of autonomous vehicles. As a part of the program, vehicle dynamical measurements were carried out on a Nissan Leaf electric vehicle equipped with a sensor system.

Open Access: Yes

DOI: 10.1109/MESA.2018.8449146

Questions regarding vehicle safety and the mathematical analysis of safety in large scale networks using positive dynamic systems and probability theory methods

István Lakatos Krisztián Szabó Tamás Péter Ferenc Szauter

Publication Name: 2018 14th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Mesa 2018

Publication Date: 2018-08-27

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper introduces the mathematical modeling, safety analysis and development of diagnostic methods. Its aim is to establish a new, accredited research laboratory for the testing and quality assurance of hybrid and electric driven vehicles. The task is very complex and it puts special emphasis on environmental and safety issues.

Open Access: Yes

DOI: 10.1109/MESA.2018.8449171

The lithium polymer battery swelling test with high-precision displacement sensors

István Lakatos Szabolcs Kocsis Szurke

Publication Name: 2018 20th International Symposium on Electrical Apparatus and Technologies Siela 2018 Proceedings

Publication Date: 2018-08-24

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The inappropriate charge-discharge of lithium polymer batteries or the high number of cycles (degradation) can lead to volume expansion. The principal motivation is to precisely determine the beginning and the causes of this expansion. During the research one of the objectives is to create a measurement system which can sample the deformation occurring in the course of charge and discharge. The other main aim is to process the measured results and to detect the conditions which critically influence the lifespan of the battery.

Open Access: Yes

DOI: 10.1109/SIELA.2018.8447119

Cubature kalman filter-based speed sensorless control of induction machines

Krisztian Horvath

Publication Name: 2018 20th International Symposium on Electrical Apparatus and Technologies Siela 2018 Proceedings

Publication Date: 2018-08-24

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In this paper, a new speed sensorless control algorithm is introduced for induction machine (IM) drives, which utilizes the cubature Kalman filter (CKF) as state estimator. The CKF is a relative new approach to nonlinear state estimation, which uses a spherical-radial cubature rule in order to compute numerically the multivariate moment integrals. Using an augmented state space model of the IMs, CKF provides load torque estimation and sufficient control performance under difficult operating conditions. The proposed control algorithm is validated by MATLAB simulation in this work.

Open Access: Yes

DOI: 10.1109/SIELA.2018.8447157

Research of required vehicle system parameters and sensor systems for autonomous vehicle control

Andras Mihaly Péter Korös Dániel Pup Huba Somogyi Alexandros Soumelidis

Publication Name: Saci 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2018-08-20

Volume: Unknown

Issue: Unknown

Page Range: 27-32

Description:

Our long-term goal is to implement autonomous vehicle control functions on a standard vehicle. At first we started with the investigation of the steering, which is a crucial area of the control of autonomous vehicles. As a part of the program, vehicle dynamical measurements were carried out on a Nissan Leaf electric vehicle equipped with a sensor system, furthermore we design a high-level trajectory-tracking controller.

Open Access: Yes

DOI: 10.1109/SACI.2018.8441008

Two-stage racetrack segmentation method using color feature filtering and superpixel-based convolutional neural network

Claudiu Radu Pozna Ernö Horváth János Hollósi

Publication Name: Saci 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2018-08-20

Volume: Unknown

Issue: Unknown

Page Range: 131-135

Description:

The Széchenyi István University race car team is an active and successful participant of the Shell Eco-marathon for long time ago. The Shell introduces the autonomous vehicle category on the Eco-marathon for 2018. Our long-term goal is to make the Szenergy racing team's vehicle suitable for the autonomous category. The first milestone is to make a reliable computer vision based intelligent detection system that understands the environment of the racing car. In this paper we will present a solution for racetrack detection i.e. a fusion of image processing and neural network systems. The two-stage recognition system is at the first phase an image processing algorithm which finds the red-white and blue-white striped edge of the road, and at the second phase, a pre-trained superpixel-based neural network which recognize the road on the filtered image.

Open Access: Yes

DOI: 10.1109/SACI.2018.8440968