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Statistical Evaluation of University Student’s Motivation and Personal Competency with Principal Component and Cluster Analysis
365-374Views:398The aim of the research is to do a statistical evaluation of agricultural and rural development engineer student’s motivation and personal competency. It sums up the late generation Y’s characteristics and challenges. To be a successful, graduated employee, not only the skill is needed but the personal competency as well. Altogether, 121 filled out questionnaires were collected from the students which were the prime source of the research. They had to evaluate influential factors to their motivation level and competence. The database was analyzed with descriptive statistic methods, principal component and cluster analysis. Studying the personal competency, five different factors were divided based on Belbin’s team roles and four clusters. The four clusters were established by the five factors. Analyzing the student’s educational motivation four different components were divided: the need of performance, social entertainment, the benefits of learning in the near future and the reach of the financial freedom. Based on the four components, generating clusters was not possible due to the significance level of the K-means cluster analysis because it was higher than 0,05 in every grouping variables.
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Effects of Surface Grinding Parameters on the Apparent Elastic Modulus of AA7075 Thin Plate
71-90Views:100Aluminum 7075 (AA7075) thin plates are used extensively in the marine industry, especially for the manufacture of skin panels for hydrofoils. Although surface grinding is a finishing process for AA7075 thin plates, the extent of the influence of grinding parameters on the apparent elastic modulus is not well understood. This study statistically evaluates the influence of surface grinding parameters on the apparent elastic modulus of AA7075 thin plates. Samples of AA7075 thin plates were ground with respect to an experimental design, and their apparent elastic modulus was measured from the DI-CP/V2 Servo-hydraulic testing machine. It was found that the feed has the highest standardized effect (7.0) on the apparent elastic modulus (9.84–32.81 GPa), followed by table speed (5.8) and grinding depth (5.5). The two-way interactions were significant except for the table speed-grinding depth interaction. The regression model shows a close match to the experimental data as indicated by the low standard error (S = 2.14), large coefficient of determination (R2 = 82.51%), and high adjusted coefficient of determination (R2 adj = 73.52%), which means that the chosen factors and interactions can be used to explain the large percentage of the variability of the apparent elastic modulus. The optimal grinding parameters were found at high table speed (50 spm), high feed (5 mm), and high grinding depth (1 mm).
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The Location of Energy Plantations in the Sowing Structure and Its Evaluation with Linear Programming
255-269Views:269The 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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Analysis of Driving Data of Lorries on a Certain Route
347-352Views:304In this paper the development of a driving cycle for lorries traveling a certain route is presented. A typical transportation route has been selected, which used by lorries instrumented with the proper data-collecting equipment. We used these on-board units to collect data over a long time period in the real-life traffic. We filtered the collected data, and carried out a statistical evaluation on the basis of the measured data.
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The Relationship Between Sports Civic Organizations and Human Resources
146-154Views:381Every spring the Hungarian Central Statistical Office records through its ELEKTRA database system the human and economic related operation data of the past year of civic organizations. This data source is usually considered as a standard at the evaluation of the domestic civic sphere. Still, the available handout titled “Most important features of the non-profit sector”, applying mainly descriptive statistics only provides a brief picture of specifications of the sector. Parallel with it, its background database is available yearly, which provides a unique possibility for a researcher to perform secondary analysis aiming to reveal deeper relationship. The objective of our study is purely to reveal a minor part of this considerable field, the relationship between subsidies and human resources mainly due to the fact, that human resource in this sector is composed of employees and volunteers, and it is questionable whether subsidies have an impact on employment. Results revealed that there is a relationship between human resources and subsidies, where mainly private nature subsidies have a strong impact equally on voluntariness and work related employment
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Review on Construction Procedures of Driving Cycles
266-285Views:501The goal of this paper is to give an overview of the literature of construction techniques of driving cycles. Our motivation for the overview is the future goal of constructing our own driving cycles for various types of vehicles and routes. This activity is part of a larger project focusing on determination of fuel and energy consumption by dynamic simulation of vehicles. Accordingly, the papers dealing with sample route determination, data collection and processing, driving cycle construction procedures, statistical evaluation of data are in our focus.
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Challenges of the Quality- and Change Management in the Context of Upcoming Social-Industrial Changes (5.0) – Conclusion of a Survey
138-150Views:415The upcoming industrial-social revolution, which may be called the 5.0, is emphasizing the coordination of the value-creating work of technology (machine) and man. This approach wishes to move towards sustainability, which deserves a significant role in nowadays through the world empathizing the negative effects of the wolrd. During my research I was looking for the answer that how the extended industry 4.0 and its tone be in Hungary via supply chain of the automotive industry. During my research I was looking for the answer that how the extended industry 4.0 be in Hungary and its tune through supply chain of the automotive industry. I also have examined that which changes are justified regarding management systems in interest of efficiency and emphasizing the human capital by leaders interviewed. As a part of qualitative research in-depth expert interviews were interpreted with help of content analysis based on the methodology of grounded theory. The results demonstrate the need to review and change existing processes in order to ensure that the potential of human capital is not lost and that technological development, even more so, is at the service of human resources in order to achieve its efficiency and effectiveness. Among the possible tools we can find the re-structurizing changes of post tracking processes of the audits in management systems providing quality. Furthermore, the practical implementation of multifactorial statistical process control in the evaluation of processed data, which may be one of the essences of industrial (IoT) data.
