• Journal of Sport and Applied Science
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• v.7 no.4
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• pp.1-5
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• 2023

Purpose: The purpose of the study is to analyze the perception of swimming rating system. Research design, data, and methodology: In this study, practitioners and leaders of Korean swimming federation were selected as the subjects of the study to institutionalize the grade of swimming. Data analysis was categorized according to word frequency after coding using the Nvivo 12.0 program, and words were visualized using the word cloud program. PASW/WIN 21.0 was employed to analyze demographic characteristics. Triangular verification and expert meetings were conducted three times to increase the validity of the study. In these meetings, the study excluded subjective interpretation and errors of the researcher. Results: First, as a result of analyzing the perception of practitioners before educational training, 16 words and the total frequency of words was 21 times. Second, as a result of analyzing the perception of practitioners after educational training, 22 words and a total of 25 frequencies were found. Third, as a result of analyzing the leader's perception before educational training, 32 words and the total frequency of words was 63 times. Fourth, as a result of analyzing the leader's perception after educational training, 41 words and a total of 72 frequencies were found. Conclusions: Findings indicated divers feelings and thoughts of practitioners and leaders of Korean swimming federations towards swimming rating system. Further implications were discussed.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.2
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• pp.85-91
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• 2015

With the increasing popularity of Smart Grid infrastructure, it is much easier to collect energy usage data using AMI (Advanced Measuring Instrument) from residential housing, buildings and factories. Several researches have been done to improve an energy efficiency by analyzing the collected energy usage data. However, it is not easy to store and analyze the energy data using a traditional relational database management system since the data size grows exponentially with an increasing popularity of Smart grid infrastructure. In this paper, we are proposing a Hadoop based Big data system to store and analyze energy usage data. Based on our limited experiments, Hadoop based energy data analysis is three times faster than that of a relational database management system based approach with the current system.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.42-49
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• 2023

Not only in aviation industry but also in other industries, safety data plays a key role to improve the level of safety performance. By analyzing safety data such as aviation safety report (text data), hazard can be identified and removed before it leads to a tragic accident. However, pre-processing of raw data (or natural language data) collected from each site should be carried out first to utilize proactive or predictive safety management system. As air traffic volume increases, the amount of data accumulated is also on the rise. Accordingly, there are clear limitation in analyzing data directly by manpower. In this paper, a topic prediction model for aviation safety mandatory report is proposed. In addition, the prediction accuracy of the proposed model was also verified using actual aviation safety mandatory report data. This research model is meaningful in that it not only effectively supports the current aviation safety mandatory report analysis work, but also can be applied to various data produced in the aviation safety field in the future.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2002.10a
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• pp.281-284
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• 2002

Geographic Information System (GIS) has advantage of analyzing spatial distributed data and handling spatial data for hydrologic analysis. Hydrologic Engineering Center's Hydrologic Modeling System(HEC-HMS) with HEC-GeoHMS was used to analyze flood runoff at agricultural small watershed. HEC-GeoHMS, which is an ArcView GIS extension designed to process geospatial data for HEC-HMS, is a useful tool for storing, managing, analyzing, and displaying spatially distributed data. Hydroligical component including peak discharge, time to peak, direct runoff, baseflow for Balhan study watershed, which is located in Whasung city, Kyunggi province, having an area of $29.79km^2$, were calculated using the HEC-HMS model with HEC-GeoHMS.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.314-318
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• 2001

The analysis of the spatial extent of flood inundation is important for flood mitigation. Geographic Information System (GIS) has advantage of analyzing spatial distributed data. Hydrologic Engineering Center's River Analsysis System(HEC-RAS) with HEC-GeoRAS was used to analyze flood inundation. HEC-GeoRAS, which is an ArcView GIS extension designed to process geospatial data for HEC-RAS, is a useful tool for storing, managing, analyzing, and displaying spatially distributed data. Rational formula and 24-hr duration probability precipitation data of Suwon meteorological station were used to estimate the flood runoff. And water profiles were calculated using the HEC-RAS model with HEC-GeoRAS. The flooded region is 8.24ha when 50-yr probability precipitation was applied and 8.8ha when 100-yr was applied to Bahlan study watershed which is located in Whasung county, Kyunggi province, having an area of $29.79km^{2}$.

• International Journal of Human Ecology
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• v.7 no.1
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• pp.77-83
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• 2006

The ability to customize garments for fit in the apparel industry is directly tied to the availability of comprehensive and accurate sets of anthropometrical data for each consumer. The data for apparel sizing systems is available from three major standard/ research organizations: ASTM (American Society for Testing and Materials), ISO (International Standard Organization), and NCHS (National Center for Health Statistics). However, these standards ignore various head shapes and are outdated for the development future head products. This creates a data gap an ever changing multi-cultural society such as the United Sates. Although major government and industry safety organizations recognize the importance of safety for head products, few studies were found to support their reasoning. The purpose of this study is to provide accurate head dimension data for developing safety head products by analyzing various head shapes in the United Sates which includes various ethnic backgrounds. This study was carried out on 105 males in the United States. Factor analysis, cluster analysis, Moreover, Duncan analysis were all used for analyzing various head shapes.

• Journal of the Korean Statistical Society
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• v.30 no.4
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• pp.613-635
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• 2001

This paper proposes a skewed multivariate probit model for analyzing a correlated binary response data with covariates. The proposed model is formulated by introducing an asymmetric link based upon a skewed multivariate normal distribution. The model connected to the asymmetric multivariate link, allows for flexible modeling of the correlation structure among binary responses and straightforward interpretation of the parameters. However, complex likelihood function of the model prevents us from fitting and analyzing the model analytically. Simulation-based Bayesian inference methodologies are provided to overcome the problem. We examine the suggested methods through two data sets in order to demonstrate their performances.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.669-670
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• 2015

Efficient management of the construction heavy equipment is required to reduce the rate of carbon emissions and on-site accidents. The intelligent excavation system (IES) will improve the construction quality and productivity through information technologies and efficient equipment operation, especially in large earthwork projects. Three-dimensional digitized ground data should be required for identifying the path of heavy equipment and work-site environment. Rapid development of terrain laser scanners (TLS) is more readily to acquire the digital data. This study suggests the '3D ground terrain processing platform (3DGTPP)' including data manipulating module and analyzing module of the scanned data for intelligent earthmoving equipment operation. The processing platform consists of six modules, including scanning, registering, manipulating, analyzing, transmitting, and storing. 3D ground terrain processing platform presented in this study will provide fundamental information for intelligent excavation system (IES), which will increase the efficiency of earthworks and safety of workers in significant.

• The Journal of Bigdata
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• v.4 no.1
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• pp.11-27
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• 2019

There is gradually being a decrease in earnings rate of the container terminals because of worsened business environment. To enhance global competitiveness of terminal, operators of the container terminal have been attempting to deal with problems of operations through analyzing overall the terminal operations. For improving operations of the container terminal, the operators try to efforts about analyzing and utilizing data from the database which collects and stores data generated during terminal operation in real time. In this paper, we have analyzed the characteristics of operating processes and defined the event log data to generate container processes and CKO processes using stored data in TOS (terminal operating system). And we have explained how imperfect event logs creating non-normal processes are refined effectively by analyzing the container and CKO processes. We also have proposed the framework to refine the event logs easily and fast. To validate the proposed framework we have implemented it using python2.7 and tested it using the data collected from real container terminal as input data. In consequence we could have verified that the non-normal processes in the terminal operations are greatly improved.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.6
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• pp.712-720
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• 2016

The purpose of this study was to inspect ballistic match of copper bullet at 4 points by analyzing vertical deviation about shot group of the 5.56 mm common bullets and copper bullets. The 5.56 mm bullet with new copper core material was developed for mitigation of environmental pollution and harmfulness to human body. The results of this study are as follows; using the regression analysis, estimated reference value of ballistic match were 51.6 mm, 64.9 mm, 87.3 mm and 99.6 mm at 25 m, 100 m, 200 m and 250 m range respectively. When analyzing the shooting test data, alternative hypothesis(The vertical deviations are less than the reference value) was adopted as the result of analyzing data using t-test. And the values of data through tool(PRODAS) and standard trajectory equation meet requirements of estimated ballistic match respectively. In conclusion, the level of ballistic match of 5.56 mm copper bullets meets the estimated reference level through regression analysis at 4 points.