Journal of the Korea Society of Computer and Information
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v.28
no.12
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pp.129-136
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2023
The government of the Republic of Korea is conducting quality management of public open data by conducting a public data quality management level evaluation. Public open data is provided in various open formats such as XML, JSON, and CSV, with CSV format accounting for the majority. When diagnosing the quality of public open data in CSV format, the quality diagnosis manager determines and diagnoses the domain for each field based on the field name and data within the field of the public open data file. However, it takes a lot of time because quality diagnosis is performed on large amounts of open data files. Additionally, in the case of fields whose meaning is difficult to understand, the accuracy of quality diagnosis is affected by the quality diagnosis person's ability to understand the data. This paper proposes a domain discrimination model for public open data in CSV format using field names and data distribution statistics to ensure consistency and accuracy so that quality diagnosis results are not influenced by the capabilities of the quality diagnosis person in charge, and to support shortening of diagnosis time. As a result of applying the model in this paper, the correct answer rate was about 77%, which is 2.8% higher than the file format open data diagnostic tool provided by the Ministry of Public Administration and Security. Through this, we expect to be able to improve accuracy when applying the proposed model to diagnosing and evaluating the quality management level of public data.
Journal of The Korean Association For Science Education
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v.44
no.3
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pp.263-271
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2024
The demand for inclusive education in school settings has been constantly increasing. Yet, within the context of general subject teacher education, rather than special teacher education, preparation for this remains insufficient. This study aims to investigate and analyze the teacher efficacy for inclusive practices of pre-service science teachers with a focus on identifying differences based on respondent variables. In this research, teacher efficacy for inclusive practices is defined as self-belief in the ability to effectively teach students, including students with disabilities, in inclusive educational environments. It encompasses three sub-dimensions: efficacy in using inclusive instruction, efficacy in collaboration, and efficacy in dealing with disruptive behaviors. Utilizing data from 61 pre-service science teachers using 'Teacher' Efficacy for Inclusive Practices' survey tool, this study examines the distribution of teacher efficacy in inclusive practice across sub-dimensions and differences in distribution based on respondent background. The findings indicate that pre-service science teachers show a generally positive state across all three sub-dimensions, with efficacy to use inclusive instructions and efficacy in collaboration being the highest and efficacy in dealing with disruptive behaviors the lowest. he teachers' efficacy for inclusive practices of pre-service science teachers exhibited some tendencies of difference based on gender, experience with volunteering for individuals with disabilities, experience with inclusive education, and the extent of coursework in special education. However, none of these factors showed statistically significant differences.
Journal of Fisheries and Marine Sciences Education
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v.27
no.2
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pp.452-466
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2015
The study analyzed the result of a survey on educational programs after the provision of professional development education in textile-based industries, with the aim of suggesting a method of evaluating professional development education, by shedding new light on the educational contents and environment required by industries and on the components required to strengthen competence based on an evaluation of the outcomes of such educational programs. Methods of analysis included frequency & average analysis, ANOVA and portfolio analysis, and a questionnaire containing seven questions on satisfaction with 'educational contents,' six questions on satisfaction with 'educational environment,' three questions on educational effect and questions on overall satisfaction with education was used as an analysis tool. Data used in the analysis was obtained through a survey of the attendants of lectures given from January 2014 to September 2014, and the respondents included 30 persons enrolled in CEO courses, 167 persons enrolled in employment courses and 101 persons enrolled in employment & start-up business courses. The results of the research are as follows. 1. Looking at frequency distribution by educational course, it was shown, from highest to lowest, to be Incumbent Courses (167 persons, 56%), Employment & Start-up Courses (101 persons, 33.9%) and CEO Courses (30 persons, 10.1%). Looking at average analysis by question, the value of most questions on Employment & Start-up Courses turned out to be lower than Employment Courses and CEO Courses. 2. Through a variance analysis on questions related to educational courses (Employment & Start-up Course, Incumbent Course & CEO Course) and post-verification, it turned out that Employment Course is in the same group as the CEO Course in most questions, and that Employment & Start-up Course was a separate group. 3. Overall satisfaction with education turned out to be as high, at 4.1 out of 5. 4. Through a portfolio analysis on educational courses, it was found that 'Overall Satisfaction with Educational Contents,' 'Usefulness of Educational Contents,' 'Overall Satisfaction with Educational Environment' and 'Quality and Ability of Instructors' were included in areas of recommendation.
Kim, Jung-Jin;Kim, Tae Dong;Choi, Dong Hyuk;Lim, Kyoung Jae;Engel, Bernard;Jeon, Ji-Hong
Journal of Korean Society on Water Environment
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v.25
no.2
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pp.311-321
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2009
Long-Term Hydrologic Impact Assessment (L-THIA) was modified to improve runoff and pollutant load prediction for Korean watersheds with changes in land use classification and event mean concentration produced from observed data in Korea. The L-THIA model was linked with SCE-UA, which is one of the global optimization techniques, to automatically calibrate direct runoff. Modified L-THIA model was applied to Gumho River Basins to analyze spatial distribution of nonpoint source pollution. The results of model calibration during 1991~2000 and validation during 1981~1990 for direct runoff represented high model efficiency of 0.76 for calibration and 0.86 for validation. As a results of spatial analysis of nonpoint source pollution, the BOD was mainly loaded from urban area but SS, TN, and TP from agricultural area which is mainly located along the stream. Modified L-THIA model improve its accuracy with minimum imput data and application efforts. From this study, we can find out the L-THIA model is very useful tool to predict direct runoff and pollutant loads from the watershed and spatial analysis of nonpoint source pollution.
The purposes of this study were to examine the attitude of undergraduates toward money and the differences in dining-out behavior among three groups of subjects divided by attitude toward money. Self-administrated questionnaires were completed by 387 undergraduates and data were analysed by frequency analysis, chi-square, t-test, one-way ANOVA, factor analysis, reliability analysis, duster analysis and discriminant analysis. Results of study were as follows. There appeared six different attitudes of money among the undergraduates investigated: money as a means of seizing power, money as a life pursuit, money as a tool for rational consumption, money as a barometer of success, money as a cause of anxiety, and distrust. The undergraduates showed several different attitudes of money according to gender, major, age and pocket money. Cluster analysis divided subjects into three groups by attitude toward money : low dependent group, moderately dependent group and high dependent group. Three groups of subjects classified by attitudes of money were different from one another in dining-out behavior as well. The low money-dependent group mainly spent less than 5,000 won on a dining-out, and relied on their own experience and recommendation from others on a dining-out information. In contrast, the high money-dependent group spent 20,000 won or more on dining-out, and the distribution of subjects acquiring dining-out information from various channels in that group was significantly higher than other groups.
The construction of the coastal structures and reclamation work causes the circulation reduced in the semi-closed inner water area and the unbalanced sediment budget of beach results in an alteration of beach topography. Among the various fluid motions in the nearshore zone water particle motion due to wave and wave-induced currents are the most responsible for sediment movement. Therefore it is needed to predict the effect of the environmental change because of development and so the prediction of wave transformation dose. The purpose of this study is to introduce the relation between waves wave-induced currents and sediment movement. In this study we will show numerical method using energy conservation equation involving reflection diffraction and reflection and the surfzone energy dissipation term due to wave breaking is included in the basic equation. For the wave-induced current the momentum equation was combined with radiation stresses lateral mixing and friction Various information is required in the prediction of wave-induced current depending on the prediction tool. We can predict changes in wave-induced current from the distribution of wave especially near the wave breaking zone. To evaluate these quantities we have to know the local condition of waves mean sea level and so on. The results from the wave field and wave-induced current field deformation models are used as input data of the sediment transport and bottom change model. Numerical model were established by a finite difference method then were applied to the development plan of the eastern Pusan coastal zone Yeonhwa-ri and Daebyun fishing port. We represented the result with 2-D graphics and made comparison between before and after development.
The purpose of this study was to explore effects of pattern alteration using a virtual clothing simulation approach in combination with 3D analysis software. Three raglan sleeves of different patterns were worn by an avatar using virtual clothing simulation with silk and cotton as the test fabrics. It was observed that the silhouette and hemline shape were affected differently based on raglan sleeve pattern and fabric type. By examining clothing pressure distribution, the cotton fabric designs and pattern shapes provided for a variety of influences on armhole and bust regions as well as the back sleeve area. For representative locations, cross section circumstance, cross section area, and volume were measured by using 3D analysis and the resulting correlation between the 2D and 3D data were investigated. Among different fabrics, there was little difference between the 2D and 3D clothing surface area. However, when using 3D analysis, clothing volume was significantly affected by different fabrics and pattern types. By simultaneously adopting the virtual simulator and 3D analysis, quantitative assessment of virtual clothing simulation was successfully conducted. In light of the results of this study, the resulting methodology is expected to be used as a comprehensive evaluation tool for virtual clothing simulation wear testing.
Daejeon, encompassing Daedeok Science Town and Daedeok Innopolis, possesses the advantage of portraying relatively higher regional innovation capacity and facilitating network formation among regional professional research organizations. Applying the Social Network Analysis(SNA) techniques, this paper focuses on divulging structural and spatial characteristics of the Daejeon Information and Communication(ICT) industry network, analyzing co-research projects implemented by the Daejeon-based universities. For the analytical tool, it depends on NETMINER 3.0. Furthermore, based on the Systems Thinking approaches, this study suggests a couple of policy implications. Judging from the Korea Standard Industrial Classification principles, the existing ICT industry is subdivided into 11 sub-industries. The highest degree centralization value comes from the Mobile Communication sub-industry(188.668%), indicating that Mobile Communication sub-industry exerts the most significant impact on the regional innovation networking in Daejeon. Among various stakeholders, Korea Advanced Institute of Science and Technology(KAIST) records the top ranking in most categories, conspicuously leading the institute-industry linkage. In terms of the ICT spatial distribution, the intra-regional cooperation examples present the strongest linkage values, followed by Daejeon-the Capital Region ones. Finally, as well shown in a series of causal loop analyses, this study recommends that Daejeon should put top policy priority in strengthening the internal ICT network within Daejeon proper. Here, Daejeon should keep in mind the fact that there exist reinforcing loops between Daejeon's attractiveness and the entering of new ICT firms.
International Journal of Aeronautical and Space Sciences
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v.14
no.1
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pp.30-45
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2013
The present work focuses on the unsteady aerodynamics and aeroelastic properties of a small-medium sized wind-turbine blade operating under ideal conditions. A tapered/twisted blade representative of commercial blades used in an experiment setup at the National Renewable Energy Laboratory is considered. The aerodynamic loads are computed using Computational Fluid Dynamics (CFD) techniques. For this purpose, FLUENT$^{(R)}$, a commercial finite-volume code that solves the Navier-Stokes and the Reynolds-Averaged Navier-Stokes (RANS) equations, is used. Turbulence effects in the 2D simulations are modeled using the Wilcox k-w model for validation of the CFD approach. For the 3D aerodynamic simulations, in a first approximation, and considering that the intent is to present a methodology and workflow philosophy more than highly accurate turbulent simulations, the unsteady laminar Navier-Stokes equations were used to determine the unsteady loads acting on the blades. Five different blade pitch angles were considered and their aerodynamic performance compared. The structural dynamics of the flexible wind-turbine blade undergoing significant elastic displacements has been described by a nonlinear flap-lag-torsion slender-beam differential model. The aerodynamic quasi-steady forcing terms needed for the aeroelastic governing equations have been predicted through a strip-theory based on a simple 2D model, and the pertinent aerodynamic coefficients and the distribution over the blade span of the induced velocity derived using CFD. The resulting unsteady hub loads are achieved by a first space integration of the aeroelastic equations by applying the Galerkin's approach and by a time integration using a harmonic balance scheme. Comparison among two- and three- dimensional computations for the unsteady aerodynamic load, the flap, lag and torsional deflections, forces and moments are presented in the paper. Results, discussions and pertinent conclusions are outlined.
In this study, the air pollution management system based GIS has been developed to estimate the emission rate and air pollution modeling of air pollutants, effectively. This system is able to estimate emission rate of air pollutant and to analyze the emission characteristics with high spatial and temporal resolution. air pollution modeling. The air pollution management system was applied to Gwangyang Bay including large industry complex with a large number of emission sources. The air pollution management system was constructed using the spatial database of emission sources in Gwangyang Bay. It was found that the estimated emission rates of air pollutants is similar to the emission characteristics in Gwangyang Bay. Also, the spatial distribution of pollutants was similar to the location of emission sources. The predicted results of air pollution model was showed a good correlation coefficient (0.75) for TSP. The air pollution management system is expected to be effective tool (database system (GIS)) for the management and the control of air pollution.
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