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Modern use of geothermal energy in Nagyszénás (Case Study)
106-115Views:325A project based on geothermal energy use in Nagyszénás, Békés County, Hungary, was finished on December 20, 2015. The construction investments were realized with the support of the European Union from tender funds won in the financial cycle of 2007-2013 in the total value of HUF 1.578 billion. The thermal water utilization investment was realized with unique technical solutions in the country, and as a result, a modern, economical heating system using green energy source was built, and now provides energy for the public institutions of the settlement and for the newly established bath complex. During construction and operation, several unforeseen technical problems arose, which could only be solved by using new technical elements. The high salinity and high temperature of the extracted thermal water required special engineering solutions. During operation, modifications and changes in technological elements were required at several points for the safe operation. The purpose of this article is to present these technical interventions, which made the reliable operation possible, thus the system provides a suitable alternative to natural gas-based heating.
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Examination of Consumer Perception of Web Stores by Netnography in the Period of COVID-19
Views:432Online shopping has become more and more part of our everyday lives, as proved by the fact that in the midst of the economic crisis caused by the coronavirus epidemic, online retailing has grown by more than 30% in Hungary. International research has shown that nearly 90% of consumers take into account the online reviews as much as the recommendations of family or friends before their purchases, digital channels, including Facebook have the greatest impact on their decisions. In our research, in connection with a specific campaign, Black Friday, we examined how actively the highest-traffic stores – having online shops as well - use Facebook to reach and influence the customers. We chose netnography as the method of our research, and we analysed the posts published on the Facebook pages of the five chosen online shops, furthermore, the customer reactions and comments given in connection with the posts. Our results show that three of the five chosen online shops applied Facebook campaigns within the action. By analyzing the comments, they were classifiedinto 5 categories based on satisfaction and trust: satisfied, dissatisfied, interested, trolls, and mute groups.
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Maintenance from the Work Safety Point of View
190-196Views:219Deterioration of the technical condition of plant equipment is a common phenomenon nowadays. According to the experience of authorities, all this contributes to the occurrence of malfunctions and accidents. Plants that operate with an inadequate conservation strategy are now nearing the end of their design life, thus posing an increased accident risk. Aging processes are often accelerated by the operator's underestimation of the effects of equipment stress and the extent of deterioration mechanisms, and the consequent inadequate design and operation of condition monitoring and maintenance procedures. The aim of our work is to examine trends in the light of modern maintenance optimization methods and, in connection with this, to make proposals for the optimization of maintenance scheduling for employers.
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A Slurry-Pot Abrasive Wear Test Device for Several Composite Materials
437-444Views:179To choose the proper material for agricultural machinery we tested several materials with abrasive cloth on the pin-on-plate test device. After having the pre-results, we launched more complex abrasive testing (slurry-pot) simulating more realistic mode with soils to investigate the abrasive wear mechanism and resistance of the selected up-to-date polymeric structural materials. for this, we developed a modified slurry-pot test machine that ensures the comparability of the materials over a wide range of conditions. Through this device, several parameters could be controlled like speed, the soil particle’s hit angle on the tested surface.
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Flexibility Analysis Of Inventory Cost Model With Ergonomics
166-173Views:222The economic and environmental sustainability issues in supply chain management have integrated by many researchers in the past decades. The ergonomics as a social aspect of sustainability had received a little attention by researchers. Therefore, the aim of the paper is analyzing the flexibility of developed inventory cost model with relaxation allowance and endurance time as a social aspect of sustainability. The effects of distance, unit weight of item and total number of items on relaxation allowance, the total cost of logistics operation and the EOQ model were investigated. The analyzed mathematical model was a single operator-single material model which covered transportation of fixed amount of raw materials from storage plant to production plant by manual material handling with simple cart and picking, storing, pushing and pushing back with empty cart for manual handling of the products. The different parameter values applied for analysis such as total amount of handled items (Q) changes between 500 pcs to 2750 pcs, unit weight of item (w) changes between 0.1 kg to 1 kg, distance of movement by manual material handling for picking and storing motions (d1) changes between 2 m to 3 m and the distance between the storing equipment and the supermarket of the production line for pushing motion (d2) changes between 15 m to 20 m. The results of the analysis indicated that the longer the distance of movement for all motions leads to decrease in savings of the model compared to EOQ model. The increase in unit weight of item is increase the savings obtained from application of our model and decrease the optimal lot size. There was no specific change on savings or optimal lot size as the total amount of handled item is increase. The compared results indicated that an increase in d1 and d2 lead to an increase in optimal lot size and increase in total cost of the model. Consequently, the analysis has shown that a decrease in lot size would be the better way to improve both ergonomic conditions and total cost of production in any different parameter values. Finally, the analysis of the inventory model with ergonomics were proved that this model is suitable for different industrial practices.
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Transportation System of Major Cities in the Middle East
50-53Views:197The quality of transportation has a great effect on the quality of our everyday life and the future of our planet. In contrary to Europe, transportation culture of the big cities in the Middle East region has grown fully different way. These Middle Eastern cities tend to have a different historical, traditional and structural background compared to other cities all around the world. One of these big cities is in the focus of our paper: Rijad, with 6 million inhabitants is the archetypal car dominated city of the Arabic world. We also elaborated a comparison to 4 other cities: Dubai as a city similar to Rijad, Amsterdam as a city with a modern green attitude, Budapest as a metropolitan city in Hungary and last but not least Debrecen which is a Hungarian city with moderate population. As a lesson learnt, we try to give some possibilities and outlooks for Rijad, in order to improve the structure of transportation.
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LSI with Support Vector Machine for Text Categorization – a practical example with Python
18-29Views:558Artificial intelligence is becoming a powerful tool of modernity science, there is even a science consensus about how our society is turning to a data-driven society. Machine learning is a branch of Artificial intelligence that has the ability to learn from data and understand its behavers. Python programming language aiming the challenges of this new era is becoming one of the most popular languages for general programming and scientific computing. Keeping all this new era circumstances in mind, this article has as a goal to show one example of how to use one supervised machine learning method, Support Vector Machine, and to predict movie’s genre according to its description using the programming language of the moment, python. Firstly, Omdb official API was used to gather data about movies, then tuned Support Vector Machine model for Latent semantic indexing capable of predicting movies genres according to its plot was coded. The performance of the model occurred to be satisfactory considering the small dataset used and the occurrence of movies with hybrid genres. Testing the model with larger dataset and using multi-label classification models were purposed to improve the model.
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Quality Improvement in Higher Education – Role of Indicators and Student Feedbacks in Course Improvement
1-10Views:223Customer oriented conduct and process-based thinking have become quasivital pillars of durable competitiveness for the business world today. Following this approach should result in satisfied customers, decreased costs, and efficient employees. However, the actors in higher education are just starting tolerant his way of thinking. The increasing focus on quality issues and the process-related approach to this is catalyzed by several factors. These concept is not a new issue at the Budapest University of Technology and Economics. The Department of Management and Corporate Economics as the flagship of teaching and researching quality management at the University looks for opportunities to give practical answer. Based on this the purpose of my paper is to demonstrate different examples at the different level of processes in higher education.
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Decision Support for Difficulties in a Furniture Manufacturing Company
405-418Views:227In “Decision support for difficulties in a furniture manufacturing company” titled work we are presenting in detail the operation of a particular furniture company and the difficulties encountered during its operation, which they try to overcome in some way so that they do not hinder the operation of the company. After that, we will show how we wanted to achieve the production support system. In different versions, we detail what we actually wanted to accomplish while showing results that illustrate the evolution of the system. We also present the difficulties of the development, which is made in Java. We also present the latest version of the system and its results. After processing the input parameters, the system is able to produce results using scheduling algorithms that can help in making important decisions during production planning.
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Analysis and Comparison of Forecast Methods for a Small Enterprise
14-21Views:476The application of forecasting models is an essential part of the profitable operations of every company. However, today’s small and medium sized enterprises (SMEs) does not pay enough attention to this field. This research presents a case study in which we tried to determine the sequence of a forecasting process, furthermore, determine the best applicable method to the dataset. Seven dissimilar forecasting method was applied: moving average and weighted moving averages with different periods (2-3-4 weeks), as well as exponential smoothing. The four-week-long weighted moving average served the best solution, which was tested by tracking signal as well.
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Study on Nonlinear Behavior of Variable Thickness Plates
72-80Views:176The analysis of variable-thickness plates is much more complicated than that of uniform-thickness plates because variable coefficients occur in the equations. In reality, this analysis is of great interest in various engineering disciplines, such as civil engineering, aerospace engineering, machine design, and so on. Although there is extensive literature on analyses of plates with constant thickness, a rather limited amount of technical literature is available on the solutions to problems dealing with plates with nonuniform thickness. The reason is that the analytical solutions meet insurmountable difficulties. Besides, the nonlinear analysis process also faces more difficulties than the linear analysis of structures. For these reasons, the nonlinear behavior of variable-thickness plates based on a finite element procedure is presented in this study. Although the topic is not special, it will help the engineer have a specific view of the nonlinear bending of the plate with variable thickness. This survey will be based on the change in geometrical parameters. Numerical solutions are then presented to verify the simplicity of this proposed procedure.
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Effect of the Friction Coefficient on Clinch Joints
86-90Views:296In this study the effect of the friction coefficient on the clinch joints was examined in experimental and numerical way also. The knowledge of the frictional behaviour during the mechanical joining (i.e. clinching) is important from the point of view of resultant geometry which is related to and influence the strength of the joints, and furthermore the maximal forming force is limited by the tool’s failure load which can be reach with a non-favourable frictional condition, as well the aesthetic aspect are also has an importance in some special cases (e.g. in automotive industry).
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Kinematics and Workspace Analysis of Parallel Manipulators
1-5Views:188The aim of the study is to analyse the kinematics and the workspaces of two parallel manipulators. The kinematics are calculated using vectors and the Newton method. The workspaces are shown using constant orientation. The result of the study is that the kinematics and workspaces are comparable of the two manipulators. MATLAB was used for calculating.
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The Relationship Between Leadership and Management and Quality Management: Systematic Literature Review
48-62Views:389This publication is intended to examine the close relationship between quality management and leadership and organization, highlighting the possibilities of increasing organizational efficiency in both industrial and non-industrial environments. During the systematic literature review, we examined the role of leadership, the closely related organizational culture, and quality management. The publication aims to explain how quality systems and frameworks, such as ISO and the EFQM model, support strategic planning and sustainability, thus providing direction for modern organizations. The research emphasizes the importance of digital transformation and knowledge management, and we have formulated the future research goals that can advance the productivity of organizations.
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Application of Nanomaterials in Food Industry and Agriculture
116-126Views:273Nanomaterials have unique application features which can mainly be associated with their size properties. These materials have much higher surface than the normal particle size variant of the same materials. Due to these properties, nanomaterials are widely used in the industry. Food industry and the agrarian sector are using these materials increasingly. The main goal of nano size components and additives are the improvement of some parameters of the food manufacturing process, the elongation of the best before date of the food and the improvement of the texture, stability and the consistence of the food. Probably, nanomaterials will play an important role in the development of the food industry, moreover, it can be anticipated that nanotechnology will also appear there and will influence the whole food chain. It should be noted that food industry is using several nano size class materials which are not referred to as nanomaterials. Some examples are the micelles of some proteins, like milk protein, and fatty acids. Considering all these, the aim of our work was to present a thorough review and summary of the current applications.
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The Economic and Social Effects of the COVID-19 Epidemic in the European Union over the Past Year, Especially in Hungary
67-79Views:2265The apparence of the COVID-19 pandemic at the beginning of 2020 affected all countries in the world, entailing major changes in everyday life. In our study – in a one year perspective – we summerize the socio-economic effects of the COVID-19 pandemic on various economic sectors and their consequences for the European Union and Hungary. As a result of the pandemic restrictions the role of some sectors were decreasing considerably, while on the other hand the other sectors emerged and underwent a significant improvement. The growing trend of working from home, as well as the decline of the tourism, the catering service and the entertainment industry has led to a change in the behavior of the population. . Changes during the pandemic period led to an increase in wealth inequalities.Changes during the pandemic period led to anincreas in economic inequality. The transformation of consumers’ values and income situation is having an huge impact on all sectors of the national economy. When reflecting upon the current situation, the following questions arise: When will the declining businesses be able to recover? Will they be able to achieve their pre-pandemic profit level, and if yes, how long will it take them?
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Analysis of a Special, 3D Metal-Printed HPDC Tool Material
251-265Views:302High Pressure Die Casting (HPDC) is still the most productive metal-casting method of our time, however the more demanding are the industrial expectations, the more challenging it becomes to ensure the creation of the difficult cavity geometries and the thermal balance of the die-cast tool. New perspective is required, thus we can utilize high heat-conductivity tool steels and additive manufacturing technology.
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Comparative Analysis of Collaborative Robots
1-16Views:348In our study, we provided a comparison of four robot arms used in industry to determine the most suitable model to adopt in university education. We investigated robot arms from the following manufacturers: ABB, Kuka, Universal Robots, and Techman Robot. The multi-criteria system was grounded on the important factor and experience. Following this, each aspect was ranked using the Analytical Hierarchy Process (AHP) method. In addition, the order among the four alternatives was established by using the Kesselring method. The present study describes a selection method for industrial robots in the academic area.
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Analysing the Conditions of SMEs Regarding Quality Assurance in Hungary and the European Union
Views:299Nowadays, small and medium sized enterprises (SME) have a relatively large task and expectation caused by the appearing of populated large foreign-owned enterprises in our country. In order that they will be able to cooperate with them and be able to join and integrate into the value chain they supply they must meet the high quality of standards. Obtaining then preserving quality certificates is essential for this. It can be fulfilled exclusively with thorough screening and problem identification.
This situation is exacerbated continuously by globalization in which each sector is involved. It means that they must remain competitive globally. Although in our country most of the small and medium sized enterprises bears the specific characteristics of family businesses innovation may not be avoided if they intend to stay competitive. To fulfil this quality assurance is one of its integral part.
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Vehicle Modelling and Simulation in Simulink
260-265Views:591In this paper a vehicle dynamics model is presented, which is an example that contains all the necessary aspects of making a decent vehicle model. Several examples show the use of such a model: basic vehicle dynamics phenomena can be recognized with the simulation of a detailed vehicle model. We are dealing with the connection between downforce and under/oversteer in this paper. In addition, the use of numerical simulations in the field of control systems is pointed out by an example of simulating an ABS control for the vehicle.
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Simulation modelling in the sizing of city logistics systems – a study for concentrated delivery points
1-11Views:194Nowadays, urban freight traffic is causing significant noise and air pollution, so it is in the focus of green logistics developments, both in technology and system organization. Based on experiences within city logistics, significant problems are caused by the so-called concentrated sets of delivery points, where there are several delivery points with heavy freight traffic in a relatively small area. Since the summer of 2015, we collected lots of data about stores of these delivery points to support the modelling and the simulation of the new green solutions for the examined city logistics systems. Based on our results we can say, there are significant savings in these systems, so it is worth to deal with developing new, gateway-concept-based and consolidation-based solutions.
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Classification of Economic Activities in Colombia According to Workplace Accident and Disease Rates Using a Data Clustering Algorithm
44-55Views:204In 2002 the Colombian Government issued a classification of economic activities according to their level of occupational risk, taking into account the International Standard Industrial Classification of All Economic Activities (ISIC). Since 2008, the federation of Colombian insurance companies (FASECOLDA) has gathered data related to workplace accident and occupational disease rates reported by companies with employees affiliated to the legal labour system. In this study, economic activities have been categorized according to the average rates of workplace accident and occupational disease presented between 2008 and 2016, using some techniques of the Data Clustering Algorithm. The purpose of this research is to evaluate the current classification system, and propose recommendations for a new approach, taking into account the analysis of historic data available.
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Optimization of Parking Lot Stormwater Management: a Case Study
75-95Views:264As urbanization accelerates, parking lots lead to stormwater runoff and localized flooding due to impervious layers and inefficient drainage. This case study evaluates stormwater management strategies across four parking lots in Debrecen, Hungary, to propose effective retrofitting solutions. The methodology combines visual site assessments with a comparative analysis of global best practices identified in the literature. Findings suggest integrating Green Infrastructure (GI) and Low Impact Development (LID) principles into parking lot design can enhance infiltration and significantly reduce surface runoff. Key recommendations include utilizing nearby vegetated depressions and replacing conventional concrete slabs with permeable surfaces. Beyond the flood avoidance, these strategies aim to reduce pressure on the local sewer system and minimize puddle formation.
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Battery Measurement Methods and Artificial Intelligence Applied in Energy Management Systems
428-436Views:244Diagnostics of batteries using advanced methods have gained remarkable roles in the past few years. This study focuses on the type of measurements, tests and methods to reveal and classify them. During manufacturing and operation several faults could emerge in batteries including non-optimal operation conditions, operators without experience, and finally, random changes in batteries under physical and nonphysical conditions. Improper handling of batteries and battery cells man cause operation failures or, in the worst case, accidents. To reveal these problems several methods are applied in industry and in scientific laboratories. For a comprehensive analysis of battery management, artificial intelligence and Industry 4.0 methods can be used very effectively. Big Data analysis in its standard form is not a new achievement, but other mathematical tools could be applied to control monitoring such as Fuzzy Logic or Support Vector Machine (SVM). They are efficient tools to analyse the deviation of batteries condition because it can detect sudden changes, parameter deviations and anomalies, and the user’s behaviour and habits. This article gives a description about the most important battery testing methods and the connection between Big Data and Operation Management with Artificial Intelligent (AI) methods.
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PVC/LDPE Blends: Relationship Between Thermal/Mechanical Properties, Structure and Blend Behaviour
162-165Views:276In this paper the effect of LDPE content in PVC foams are examined on the structure of both the foam and the LDPE. We attempt to understand how LDPE content affects the structure of PVC in blends and how it changes the glass-transition (Tg). These parameters often provide important information related to the overall macromolecular structure of the polymer blend. Thermal analytical techniques such as differential scanning calorimetry (DSC) often used to determine the structural transformation of samples. The effect of the miscibility and composition of the PVC/LDPE foam blends on the thermal stability were also investigated.
