Szolnok, Hungary

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Fekete I.,College of Szolnok | Farkas I.,Szent Istvan University
EEA - Electrotehnica, Electronica, Automatica | Year: 2012

This paper deals with developing new type of shell-structured solar collectors for the heat exploitation of the solar energy and to define its thermal efficiency. It is planned to develope shell-structured collector bodies using the proper combination of the traditional and new materials. Final plan was to contribute to form a new, profitable, small investment claiming solar collector. Certain modification on the equipment is needed for further improvements, based on additional improving concepts in order to achieve more accurate measurement, as well as to improve heat transfer of the collector body. It was aimed at developing an easy-to-install equipment, which is expected to be really effective in the summer period along with impoving the efficiency. It is intented to achieve the development of the shell-structured collector bodies using the proper combination of the traditional and new materials.


Dorman J.,College of Szolnok | Lakatos I.J.,Res Institute Applied Earth Science | Szentes G.,HOST Ltd. | Meidl A.,Res Institute Applied Earth Science
SPE - European Formation Damage Conference, Proceedings, EFDC | Year: 2015

The key to formation damage control is minimizing the depth of contact/impact of the formation and drilling fluid by minimizing solids and liquid invasion into porous (fractured) formations. Analysis of downhole filtration conditions and particle size (distribution) measurements were used to select "fit to pore size" fluid loss control materials in order to maximize pore/fracture plugging efficiency. Further tests served to predict potential alteration of rock properties. Particle size measurements have been performed for commonly used (natural and synthetic) polymeric fluid loss and other additives dispersed in water. High-pressure Hg porosimetry was used to determine the pore size distribution of core samples. Core flow tests served to measure permeability and permeability damage caused by fluid loss additives. Spontaneous fluid absorption rate was studied using modified tensiometer and wettability of the cores were determined by 'sitting drop' technique. In low permeability porous (tight and shale gas) formations consisting of macro to nano pores most filtration studies are limited to provide reliable filtration data for all cases due to the fact that drilling fluids solids particle sizes relative to pore sizes. Particle size measurements of commonly used (natural and synthetic) polymeric fluid loss additives in water have provided typical size range by particle number in the 25-35 nm range, and 120-700 nm by volume. Such particles can play a significant role in internal plugging of micro to nano size pores and microfractures. Core flow/filtration tests using low permeability (<5 mD) core samples and model fluids containing fluid loss additives resulted in rapid permeability reduction (to 100%), typically in close to core face region. Results proved the achievable pore plugging efficiency and invasion control into low permeability rocks during drilling. Particle size data gained for CPG (Cloud Point Glycol) solutions proved that this system could also be used to form efficient barrier within the low permeability formation, showing certain analogy between mitigation of formation damage and wellbore instability. Better insight into downhole filtration mechanism and conditions, especially for initial filtration phase in low permeability formations can lead to designed "shallow bed" instead of practically uncontrolled "deep bed" filtration, where external filter cake is essentially not formed. Such internal pore plugging technique can be the key to the minimization of solids/liquid invasion and associated formation damage. Copyright 2015, Society of Petroleum Engineers.


Subecz Z.,College of Szolnok
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

The detection and analysis of events in natural language texts plays an important role in several NLP applications such as summarization and question answering. In this study we introduce a machine learning-based approach that can detect and classify verbal and infinitival events in Hungarian texts. First we identify the multiword noun + verb and noun + infinitive expressions. Then the events are detected and the identified events are classified. For each problem, we applied binary classifiers based on rich feature sets. The models were expanded with rule-based methods too. In this study we introduce new methods for this application area. According to our best knowledge ours is the first result for detection and classification of verbal and infinitival events in Hungarian natural language texts. Evaluating them on test databases, our algorithms achieved competitive results as compared to the current English results. © 2014 Springer International Publishing.


Agnes P.B.,College of Szolnok | Zsuzsanna T.,Debreceni Egyetem | Peter S.,Debreceni Egyetem
Elelmiszervizsgalati Kozlemenyek | Year: 2010

Nowadays, it is claim to special rheological examinations, most of all to the extensibility and resistance of extension parameters in the international trade and on the Hungarian wheat export market. We have to analyse the alveographical and extensigraphical parameters of Hungarian growing winter wheat to help to introduce the alveographical and extensigraphical evaluation. The correlation among the quality parameters can give us extra information about backing values of winter wheat varieties, selecting of special quality types for wheat growing and qualification of the different export rate.


Subecz Z.,College of Szolnok
Communications in Computer and Information Science | Year: 2016

Besides named entity recognition, the detection of events in natural language is an important area of Information Extraction. The detection and analysis of events in natural language texts play an important role in several NLP applications such as summarization and question answering. Most events are denoted by verbs in texts and the verbs usually denote events. But other parts of speech (e.g. noun, participle) can also denote events. In our work we deal with the detection of nominal events. In this study we introduce a machine learning-based approach with a rich feature set that can automatically detect nominal events in Hungarian texts based on dependency parsing and WordNet. Additional methods were also applied beside the features, which improved the results and decreased running time. To our best knowledge, ours is the first result for detecting nominal events in Hungarian natural language texts, with dependency parsing and WordNet. Having evaluated them on test databases, our algorithms achieve competitive results as compared to the current English and other language results. © Springer International Publishing Switzerland 2016.


Nagy V.,College of Szolnok | Szabo E.,College of Szolnok
Studia Universitatis Vasile Goldis Arad, Seria Stiintele Vietii | Year: 2011

In the surroundings of the biogas-works - that will be established - the available biomass potential can be more or less various and differing composition in the works. We need a special instrument to determine the technological parameters that certify the maximum methane output. With help of this set-up we can make biogas technological experiments by changing of parameters that influence the process of biogas production. These experiments can be made similar to works conditions with measuring of all necessary parameters. © 2011 Vasile Goldis University Press.


Nagy V.,College of Szolnok | Meggyes A.,Budapest University of Technology and Economics
Studia Universitatis Vasile Goldis Arad, Seria Stiintele Vietii | Year: 2011

The projects of renewable energy production and utilization which are based on connecting of technological processes are among R-D&I theme which enjoy priority because in the sphere of decision- makers the natural conscious way of thinking predominates more and more. Renewable energy with methane content can be produced by anaerobe degradation from any kind of organic waste. Organic wastes and by-products arise abundantly in agriculture. In Szolnok University College Technical and Agricultural Faculty in frame of more projects we made biogas experiments with different kinds of organic wastes. We tested that the given recipes how influence the commencing of biogas production, the evenness of production, biogas and methane production. © 2011 Vasile Goldis University Press.


Subecz Z.,College of Szolnok
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

The events in natural language texts and the detection and analysis of the semantic relationships or semantic roles of these events play an important role in several natural language processing (NLP) applications such as summarization and question answering. In this study we introduce a machine learning-based approach that can automatically label semantic roles in Hungarian texts by applying a dependency parser. In our study we dealt with the areas of purchases of companies and news from stock markets. For the tasks we applied binary classifiers based on rich feature sets. In this study we introduce new methods for this application area. According to our best knowledge, this is the first result for automatic labeling of semantic roles with a dependency parser in Hungarian texts, for domain specific roles. Having evaluated them on test databases, our algorithms achieve competitive results as compared to the current English results. © Springer International Publishing Switzerland 2015.


College of Szolnok | Entity website

Magyarorszg kis nyitott orszg. Mint ilyen, nagyon nagy mrtkben sszefondott a nemzetkzi krnyezetvel s nagyon nagy mrtkben fgg attl - legyen a nemzetkzi krnyezet akr az Eurpai Uni, akr a vilg egsze ...


College of Szolnok | Entity website

".Meggethetnek, elpusztthatnak sok ezer knyvet, / de fennmarad tz, t, vagy egy ...

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