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Open access

Andras Molnar

Abstract

These days a lot can be heard about special weapons which accelerate the projectile not based on the traditional, chemical energy release, but providing the muzzle velocity with the help of electromagnets. In English terminology, many descriptions can be read about these devices, referred to as “coilgun”. There are so many hobbyist and amateurs who make these devices [1,2] and publish their results on the internet [3,4]. The purpose of the project is dual. On one hand, features, advantages, disadvantages and the limits of the electromagnetically accelerated weapons can be found by building an experimental tool. On the other hand, it was intended to point out the fact that anybody can build such a tool using commercially available commercial components. Although the muzzle energy of the device presented in this paper is not more than 6.8J, but it can cause serious injury. The paper also points out that in a similar way, still not using special components, a weapon can be made with a larger (10-20J) muzzle energy.

Open access

Daniel Stojcsics and Andras Molnar

Abstract

In the last decade modern agriculture used significant resources for automated evaluation. Game damage and crop evaluation and prediction are the main focus of the precision agriculture. At John von Neumann Faculty of Informatics, Óbuda University, Hungary, researchers together with agricultural experts are developing automated evaluation methods for high-resolution survey data. With the locally developed unmanned aerial vehicles (UAVs) the agricultural survey can be easily done for 1-2km2 area from a single flight.

The paper presents the detailed method of the early steps of the automated evaluation using Matlab and the comparison of results to the GIS data.

Open access

Daniel Stojcsics, Zsolt Domozi and András Molnár

Abstract

In the last decade, the rate of the industrial usage of fixed-wing and blended wing aircraft has increased. A 1–2-km2 area can be surveyed by such a drone within 30 to 60 minutes, without any special infrastructure, and this can be repeated at any time. This provides an opportunity to conduct automatized surveys and time series data testing, which can be used as a basis to decide specific processes. The state and the development of the plants can be monitored as well as the spread of pests and the efficiency of the procedures that protect against them. During the surveys, thousands of images are taken of the area, which can be converted to a georeferenced large-sized map within 20 to 40 hours, including post-production and a resolution varying from 0.01 to 0.1 cm/pixel. The paper provides a solution to the industrial post-production of these high-quantity data, in which a deep learning-based automated process using Matlab is presented, including a comparison of the results to the GIS data.

Open access

Cristina-Stanca Molnar-Varlam, Csaba Joanovics, András Daradics and Attila Titus Augustus Szolon

Open access

Bálint Molnár, Gyula Szabó and András Benczúr

Abstract

Background: The application and introduction of ERP systems have become a central issue for management and operation of enterprises. The competition on market enforces the improvement and optimization of business processes of enterprises to increase their efficiency, effectiveness, and to manage better the resources outside the company. The primary task of ERP systems is to achieve the before-mentioned objectives. Objective: The selection of a particular ERP system has a decisive effect on the future operation and profitability of the enterprise. The qualitative correlation between the size of enterprises, market position, etc. and the applied selection criteria for ERP systems should be analysed as to whether which criteria are used at multinational enterprises or at SMEs. Methods/Approach: Our research is grounded in a literature review and case studies of everyday practice related to the introduction, implementation and roll-out of ERP systems. Results: The dominant critical success factor of ERP introduction seems to be “ERP software suitability”, “Information quality”, “ERP vendor quality”. Conclusion: The set of criteria on one hand shows strong correlation with non-functional requirements codified in standards, and on the other hand with usual functional requirements for ERP systems.