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The Location of Energy Plantations in the Sowing Structure and Its Evaluation with Linear Programming
255-269Views:201The research is examining traditional arable crops and woody plants on the basis of their marginal contribution. Calculations of income, expenditure and revenue were made on the grounds of sectoral technologies, which were the basis of the value of marginal contribution of the given sectors. As the linear programming model is quite comprehensive, we used this method for our calculations. To compile our model, we have gathered all the necessary information from farmers of the region of the Northern Great Plain. The missing data was completed from the databases of the Hungarian Central Statistical Office (KSH), Institute for Agricultural Economics Research and Information Technologies (AKII) and the Statistical Office of the European Communities (EUROSTAT). In some cases, we also used data of the Agricultural Administration Office and the Ministry of Agricultural and Rural Development. Our goal is to compile a 12-year production structure that suits for the characteristics of the region of the Northern Great Plain by achieving the maximum marginal contribution of a feature-farm.
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Innovative Strategies and Student Academic Performance: Machine Learning Insights on International Students in Chinese Universities
37-60Views:243The higher education sector in China has faced unprecedented challenges recently due to the global COVID-19 pandemic. The influx of international students, a vital component of the nation's academic landscape, presented distinct challenges, including maintaining academic achievements through various online platforms, which necessitated innovative strategies to ensure that their educational pursuits remained rewarding despite these challenges. This study aims to explore the innovative strategies adopted by Chinese higher education institutions in response to the COVID-19 pandemic and examine their impact on the academic achievements of international students. This study employs a comprehensive approach that incorporates questionnaire surveys and dominant Machine Learning Algorithms, such as Multiple Linear Regression (MLR), Decision Tree Model (DTM), Support Vector Regression Model (SVRM), and K-nearest neighbors (KNN). By employing rigorous data-gathering approaches, our study aimed to address a set of particular questions: How did these innovative strategies improve students' academic performance in the face of environmental emergencies? To what extent did international students benefit from these adaptations? Through investigation of these concerns, our research provides insight into the effectiveness of these strategies and their possible significance for future educational methodologies. Innovative strategies positively correlated with student academic performance during the COVID-19 pandemic in Chinese higher Education. This research highlights how overcoming these challenges can have broader implications for shaping resilient global education systems in future crises. The study accurately predicted academic performance, highlighting the importance of innovative teaching approaches in the context of the COVID-19 pandemic. This study might influence educational policies and practices. Educational institutions can make informed decisions about emergency preparedness and development by assessing results using a creative approach. Our findings bring depth to the global conversation on higher Education under challenging circumstances, showing how Innovation might alleviate the adverse impacts on international students' learning experiences.
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The implementation of Balanced Scorecard System in social enterprises using the social-cooperatives – compliance with the needs of external organisations
300-317Views:358To discover the major economic problems of social cooperatives, we have made a survey. The analysis of this survey stated that the quality of available labour force and the finding of the proper target markets are the biggest concerns of social cooperatives. By this survey a Balanced Scorecard model (BSC) was implemented, which is an adaptation of Bull’s model (Bull, 2006). Present paper demonstrates the BSC modul to satisfy the needs of external partners and authorities. These needs and the tracing indicators were determined, furthermore the frequency of the indicator measurement was also proposed.
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Application of Team Coaching Tools for University Education – Case Study
445-456Views:631In 2010 the innovative Finnish higher education system (Tiimiakatemia – Team Academy) was launched at University of Debrecen Faculty of Economics and Business, which was also awarded by OECD and has been run at JAMK University of Applied Sciences in Jyvaskyla since 1993. In this system, we create team entrepreneurs who have to work together in teams. In this research the authors would like to look at how we can use the team coaching tools as a part of this model in our team entrepreneur education system to build high performing teams. Tuckman named five stages of team formation: forming, storming, norming, performing and adjourning. A new team cannot be expected to perform as an excellent team when it first comes together. It takes time forming a team, and they often go through recognizable stages as they change from being a collection of strangers to a united group with common goals. You have to understand it at first, than you can help your team become effective more quickly. Authors of this study work as team coaches in Team Academy Debrecen. In the last 6 years we have worked with several teams and experienced how group dynamics present at the teams and change through the learning process. We have faced with great storming period at different teams and managed to build high performing entrepreneur teams as well. Our experiences are introduced as case studies, after analysing, consequences will be concluded. As in the EFQM model we can find that to survive in the global competitive markets companies need the best teams for the best results.
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Kinematics and Control of a Planar Cable Robot
88-95Views:225This paper deals with the kinematics and control of a planar cable robot [1], which is driven by four DC motors with gear. Cable robots are frequently used e.g., for the motion of cameras in sport halls and stadiums and also in high storage logistical systems [2]. Main goal of this research work is to design and build a test bench with low budget, which can model the motion of real life cable robots.
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Floodresc – Disaster Management in case of Flooding in the Hernad Watershed
181-187Views:205The aim of the Floodresc project is to develop a GIS based decision support system that can help the defense and rescue operations of the Disaster Management Directorate during any floods in the Hernád River. In the project, a geospatial database covering the entire river basin, a modeling application for predicting the extent of flooded areas in time, and a logistics model supporting defense-related transportation tasks will be developed.
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Fémhabstruktúrák elemzése és geometriai modellezése
145-152Views:228The development of an efficient procedure for 3D modelling and finite element simulation of metal foams is one of the greatest challenges to engineer researchers nowadays. Creating 3D CAD model is alone a demanding engineering task due to its extremely complex geometry, and the proper finite element analysis process is still in the center of the research. The aim of this project is to analyze the related literature and to adapt the results may be considered
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Strategic Role of Environmental Factors in the Operation of a Manufacturing Company: A Synthesis of Three Analytical Models
56-74Views:311Nowadays, the operations of companies are influenced by increasingly complex internal and external factors, the systematic examination of which is essential for conscious strategy-making. The relevance of this study lies in the context of global economic instability, rapid technological advancement, and intensifying market competition, all of which present new challenges for organizations. The aim of the research is to demonstrate how the analysis of environmental factors can support strategic decision-making, with particular emphasis on a specific company case. The analysis was based on three established methods—PESTEL analysis, Porter’s Five Forces model, and the SWOT framework—which together enabled an integrated examination of macro- and micro-environmental factors as well as internal resources. The results highlighted several key strengths of the company, such as professional expertise, international presence, and the quality of customer relationships, while also identifying several areas in need of improvement, particularly in terms of pricing strategy, digital information accessibility, and internal communication. The novelty of the study lies in the combined application of the three analytical tools, which revealed interrelated insights and served as the basis for well-founded recommendations aimed at enhancing strategic flexibility and strengthening competitiveness.
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Comparative Analysis of Collaborative Robots
1-16Views:369In 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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The Sustain of the Leadership Methodology in Higher Education
1-11Views:225Higher education institutions have to follow the changes of current higher education and market oriented atmosphere. All these changes have to be measured and probably reacted to. Leaders of higher education instutions should have personal skills, which can contribute to the efficiency therefore they can motivate their colleagues. The aim of this study is to unfold the most effective measuring model to determine the leadership competencies, behaviours, properties, which can contribute to the successful operation and to the subsistence of experienced competition in higher education.
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Examining Organisational Culture with OCAI among Technical Management BSc Students of the University of Debrecen
1-8Views:477Based on the OCAI model, our study analyses and compares two things (1) the corporate culture of the University of Debrecen Faculty of Engineering as it is perceived by its engineering management students; and (2) the culture they think would be ideal. According to the respondents the existing culture is closer to the clan type and further from the market type compared to the average. Their ideal culture is closer to the clan, adhocracy and further from the market (compared to the average). The perceived current and the ideal culture are significantly different only in the adhocracy type. From the 20 items of the OCAI questionnaire 7 were significantly different from the average in the case of the perceived culture and 13 in the case of the ideal culture. Differences between ideal and present cultures are statistically supported only in the following dimensions: dominant characteristics (clan is currently stronger, adhocracy is weaker), corporate leadership (market is currently stronger), strategic emphasis (hierarchy is currently stronger).
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The Middle East perspective of Corporate Social Responsibility
282-291Views:413Corporate social responsibility (CSR) in the Middle East is gaining more importance than in the past. Although it still remains more about philanthropy and charity, it moves towards a more strategic approach which includes formalizing ways of giving, as a set of non-random actions, and focuses more on addressing social ills and environment, economic challenges, that are hindering development. However, the business in the region has not yet taken the step to fully integrate the CSR into their core business operations. The most common challenges that facing the CSR implementation are the lack of government requirements and incentives, spreading awareness, building CSR partnership model, going beyond the marketing and PR campaigns, and full integration of CSR into the business strategy. In this paper, we aim to introduce the current state of the CSR in the Middle East and its perspectives, besides reviewing its evaluation stages, motivations, and current challenges. Moreover, we aim to examine CSR common practices through examples from the financial sector. The research method applied in this research is based on secondary data sources and we have used desk research to illustrate most important points and findings on the topic.
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The Individual, Education or Work Environment Influences the Quality of Graduates’ Employment?
244-260Views:268In this paper I examine what has an effect on the quality of the graduated students’ employment. The quality is measured by the the discrepancy between the educational attainment of workers and the educational requirements of their job. On the base of this I can distinguish matching and overeducated workers. The latter category can be divided into two other groups, so called genuinely overeducated, who are not satisfied with their mismatch, and apparently overeducated, who are satisfied with their mismatch. Using multinomial logit model I try to identify those individual, educational and workplace’s characteristics that influence being matching, apparently, or genuinely overeducated using the database of students graduated in 2007 and 2009 in the University of Debrecen. I try to test those factors that were determined in the literature like mobility and commuting propensity, market rigidity, career mobility, job tenure.
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Practical Application of Methods in Strategy-Based Analyzes
59-72Views:663Increasing environmental volatility is a growing challenge for companies and businesses. The speed of economic events is changing, and the risk of uncertainty is increasing, requiring business to take a new approach to strategic planning. In the design and forming of their strategy, both the factors of the external and internal environment and the analysis of their competitors can be based on well-chosen methods. We consider the review of these methods, their application in planning and educational practice. The aim of our work, in which we present the methods that underpin the strategy applied in both domestic and international practice. The analysis of the external environment illustrates the construction and applicability of an external factor analysis matrix based on traditional PEST analysis and the Porter's five-factor model. In the case of internal factor analysis matrix, we focus on the approach of method choice, and on the applicable methods, the importance of the resource-based approach, the analysis of key factors and the Porter value chain analysis matrix. The third pillar of the analysis that underpins the strategy is the matrix-based assessment of competitors. The applicability of the methods depends on the form of the enterprise, the field of activity and the nature of its activities, which is complicated by the emergence of new economic spheres (e.g.: sharing) and transformed power relations.
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Constantly Changing: Revitalization of Our Existing Building Stock with a User-centric Approach Through the Comparison of Three Hungarian Examples
94-110Views:681Our built environment’s community-oriented spaces are rapidly becoming obsolete in response to current social, cultural and economic demands. The renovation project of the tímárház Szárító műhely in Debrecen presents a new potentional transformation model in the region with a focus on community-creating and cultural awareness. The incremental, cost-effective small-scale intervention and adaptive reuse of the building’s spaces provide an opportunity to preserve its values and swiftly respond to evolving needs. In order to validate the underlying principles of the interventions proposed in the plan, it will be compared to two similar-minded examples, the Művészeti Ellátó in Eger and Szabadkikötő in Pécs. The projects were examined through the processes occuring within their respective life cycles, as their transformations exhibit recurring patterns. The analyses were conducted based on interviews with the creators, online articles, studies and on-site visits.
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The CAD Modelling Possibilities of Gear Pairs by Two Ways in the Mechanical Engineering Practice
205-219Views:249The GearTeq 2021 software is a complex gear designer software which is capable to design different types of gears based on the initial geometric parameters by the user. Naturally, the users’ appropriate knowledge for the gear theorem and the manufacturing technology is indispensable for the design. The possibilities of the software are shown in this publication. The designed gear pairs are usable for different engineering fields (robots, working machines, vehicles, etc.).
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Numerical Model Analysis of Myring–Savonius wind turbines
180-185Views:334Nowadays the importance of renewable energy is growing, and the utilization of the low wind energy potential is getting crucial. There are turbines with low and high tip speed ratio. Turbines with low tip speed ratio such as the Savonius wind turbine can generate adequate amount of torque at low wind velocities. These types of turbines are also called drag machines. The geometry of the blade can greatly influence the efficiency of the device. With Computational Fluid Dynamics (CFD) method, several optimizations can be done before the production. In our paper the Savonius wind turbine blade geometry was based on the so-called Myring equation. The primary objective of this paper was to increase the power coefficient by modelling the effect of the wind on the turbine blade. For the sake of simplicity, a 2D cross-sectional area was investigated in the simulation with ANSYS CFX 19.1.
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What Drives Capital Financing in Europe? Evidence from Listed Firms in Germany
14-31Views:431This article analyzed the factors that affect the capital financing of German non-financial corporations listed on the German Stock Exchange from 2017 to 2021. By applying a panel data regression model and the Generalized Least Squares (GLS) approach, the results show that the debt-to-assets ratio, equity multiplier, and long-term debt ratio are significantly impacted negatively by profitability as determined by the assets return. Firm size is positively correlated with both the equity multiplier and the long-term debt ratio, suggesting that larger companies use more long-term debt. Growth has a significant positive impact on the equity multiplier and long-term debt ratio but has little influence on the debt-to-assets ratio. Long-term debt is unaffected by liquidity, although the debt-to-assets ratio and equity multiplier are adversely impacted. The GMM method is used during the robustness check, and the findings are consistent with the major GLS findings. These results highlight how important firm-specific factors are in influencing choices about financial structure. The results of this research may be used as a guide for companies operating in Europe and offer valuable information about how to optimize capital structures in various financial contexts. Policymakers could also use the results of this investigation as a reference for creating financial laws and regulations that facilitate non-financial enterprises' access to financing and effective capital allocation.
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Applicability of Optimization Methods in the Design of Automotive Rubber Products
358-363Views:248Size, shape or topology optimization are widely used to fulfil the requirements in the design process of rubber products. In many cases, the shape of the product is very complex and comes into contact with other components during operation. It is commonly subjected to large deformation for which the rubber shows strongly nonlinear behaviour. For this complex problem analytical solution is not available, thus finite element method could be used in which the analysis running is a time consuming process. The object of my research is to compare the efficiency and computational cost of different optimization algorithms. This article focuses on the applicability of various optimization methods in the field of automotive rubber goods. Direct search optimization and surrogate model optimization methods will be introduced.
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Examining Drone Logistics Solutions in Retail
48-61Views:279The possibilities of using drones in transportation will be determined by the capabilities of drone technology, legislation, various advocacy and trade unions, and the degree of general acceptance. Technology and infrastructure are given, customer habits and needs are favourable, and emissions generated by packets moving between two points are growing steadily. Despite these favourable conditions, the effects of drone use should be thoroughly reviewed. The environmental impacts of the project were analyzed by PEST analysis and the main influencing factors were studied using the Porter model. Concluding our results based on questionnaire surveys and feasibility examinations of fast food delivery, it can be said that a system based on drones can efficiently be operated and cost-effective using round trips, however, the legal issues and uncertainties that arise in the delivery of drone hippers remain a very significant hindering factor for a long time.
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Sport Consumption, Fan Engagement, Sport Statistics – Post-specific Passing Characteristics in Football
Views:840Digitalization and the explosive development of technology have led to significant changes in football. Due to the increasing amount of data available through various sensors and other data collections, we can observe the rise of data-centric, analytical and statistically oriented thinking in football, which is also of interest to fans. Digitalisation is also closely linked to sports consumption, which is why we have seen significant changes in this area in recent years. The pandemic has further amplified the speed of digital transformation in the sports industry. One of the most important contents for sports organizations and their fans is the in-depth sports statistics and analysis that enhances the consumer experience. In our study, we examined the most common performance indicator in football, passing. Our goal was to examine the position-specific pass characteristics in detail, therefore we also examined different pass properties in our research. As a model for our analysis, I chose the premier league, which has the highest UEFA coefficient. The three rounds (rounds 30-32) of the championship season 2019/2020 have been recorded and analyzed in terms of passes. there was a significant difference between the average number of passes per game between defensive and offensive players (t=7,988, p<0.05). There is also a gradual decrease in the number of passes attempted per match and the accuracy of the pass in the examination of the middle positions when examining the positions in the depth of the pitch. For both pass accuracy and average pass count, the decreasing ranking corresponds to the position of positions on the pitch (order: 1, central defender 2, defensive midfielder 3, inside midfielder 4, attacking midfielder 5, striker). In the value indicator of the position for passes, offensive positions performed more effectively than defensive positions. The extreme positions also stand out among the attacking positions, where in the case of the position value per pass number, 23.3% of the total test was completed and 14% of the amount of the established position value indicators was provided by these posts. Overall, our study points to post-specific pass characteristics and, knowing this, we can state that the comparison of players' passing performance is relevant if the players are in the same or related positions.
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Digitalization of Ancient Sculpting Models and 3D Design Using Photogrammetry Methodology
458-465Views:306The digitization of ancient sculptures is particularly relevant and necessary in relation to the preservation of the cultural heritage. And the studied ancient models have their unique identity in terms of their visual and functional qualities. In parallel, the study aims to optimize the technological process related to photogrammetric measurements and calculations, technological tools and specialized software applications such as Autodesk ReCap, Blender and MeshMixer. The used models in the article are for re-presentation of popular ancient models & artifacts from city of Varna (by the ancient name Odessos). By using a 3D print device, one of the resulting digitized models of an ancient angel will materialize by applying specific techniques to redesign its geometry. The completed 3D printed item of re-designed model of ancient stone angel is only for personal and non-comercial use. One of the main point in the article is to show advanced computer techniques for teaching and studying. The information in this article has been built for helping other specialist working in digital field regarding photogrammetry. Also the material can be useful for designers, engineers, archaeologists and others in their work for the publicity of ancient treasures.
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Learning Curve Based Sigma Level Determination in Interrupted Non-Production Processes
260-270Views:215The philosophy and methods of six sigma process development have been applied successfully since mid1980s, and the application of the six sigma concept in non-production processes has increased significantly in the last decade. In this paper processes that can be characterized by learning curves are modeled. The quality of such processes can be analyzed on the basis of the six sigma concept. In this paper two back office processes are analyzed. The processes are built up of simple repeated steps and incorporate some interruptions. The application of the model allows the calculation of the maximally permitted number of interruptions in the process if the preliminary determined norm is to be kept.
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Designing, Modelling and Analysis of Straight Turning Tool Geometry
11-16.Views:198We execute the planning, modelling and examination of straight turning tool geometry with the help of a software in the modelling space. Our aim is to create a programme that – given some lengths and angles – calculates the corresponding geometry. It establishes that as a wireframe model in a file format that is easily transmittable to the CAD softwares of today, so any additional changes can be done there. An optimal geometry can be defined for the best possible chipping conditions using finite element simulation and with given technological parameters and material quality standard.
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Incentive Methods of Traditional and Lean Production
1-12Views:539Many research deals with the lean management, but mainly related to the topic of operational management. The target of the author to investigate the lean production can be found there any incentives that could be support of the changed labour market. After the labor market outlook, which may help us to understand the actualities of the topic, grouping the incentive methods based on the model of Hay Group's happening, which is collected on the basis of literature lean processing methods. An identifiable differences in the grouping of lean and related traditional production incentives, which are sometimes more supportive of employees' commitment to the company.
