• Korean Journal of Health Education and Promotion
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• v.28 no.5
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• pp.73-82
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• 2011

Objectives: This study is to gain an understanding of the characteristics of suicides committed by university students in Korea by assessing news reports. Methods: A total of 97 news reports on university student suicides on daily newspapers and TV newscasts from 2000 to 2011 are included in this study. Analyses were performed on sociodemographic characteristics of suicided university students and temporal and other characteristics of the suicides. Results: Suicide rate was higher among males than females. The most frequently used method of suicide was jumping off while the most common place was the students’ residence. Issues related to academic and financial problems topped as the reasons for suicide. There were no differences in the reasons for committing suicide by school year and enrollment, but the location and season of committing suicide differed by reasons for suicide. Conclusions: Implication of this study, discussion on the results and suggestions for suicide prevention are discussed.

• Journal of Digital Convergence
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• v.7 no.1
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• pp.57-71
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• 2009

The visualization of business reports has received greater attention from information system scholars. Tables, graph and charts are often used to represent vast amount of complex numerical data and spreadsheet visuals become a de facto standard in business. This study suggests the use of individual's cognitive differences on business report visualization instead of providing "one visual fits all type of reports." It is argued that reports with data augmented by appropriate visuals will affect the efficiency and effectiveness of an individual's learning outcomes and subsequently his or her decision making processes. It is argued here that report visualization can augment the usefulness of contents and enhance many desirable features of reports as specified in those proposed models.

• Journal of The Korean Association For Science Education
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• v.12 no.1
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• pp.93-101
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• 1992

The purposes of this study were; 1) to apply the network analysis to evaluation of students' laboratory reports, 2) to test the applicability of the systematic network analysis. For this purposes, 7th grade 88 students from 22 middle schools in Inchon city of Korea were selected and their laboratory reports were evaluated by a evaluation criterion network developed in this study. The evaluation criterion consisted of 4 categories and 10 subcategories. The results of this study suggested that the network analysis approach was suitable one for the evaluation of students' laboratory reports. This was supported by total score distribution, means/weight, Cronbach's ${\alpha}$ coefficient(0.70), and the subcategories' reliabilities. The resluts of the factor analysis indicated that the evaluation criterion network of this study had two factors.

• KCID journal
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• v.8 no.2
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• pp.9-15
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• 2001

• BMB Reports
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• v.57 no.1
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• pp.1-1
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• 2024

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.3
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• pp.161-173
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• 2020

This study analyzed local imbalances in the supply and demand of emergency medical services in Busan using the 119 emergency activity reports of the Busan Fire & Disaster Headquarters. The data for EMS activity reports in 2017 was converted into Jimgyegu units. The spatial distribution of the indicators representing the local imbalance of emergency demand and supply (number of reports, number of reports relative to the population, average coefficient of variation and outlier of on-site arrival time, and number of dispatches outside the jurisdiction) was analyzed using Hotspot analysis of GIS spatial statistics analysis. As a result of the analysis, the hot spot area and the cold spot area where both supply and demand of emergency services are concentrated were clearly distinguished. This means that the supply and demand of emergency services in Busan are locally unbalanced. In particular, there was a difference in the demand and supply of emergency services in the original downtown and its surrounding areas, and in the outskirts of Busan.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.3
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• pp.87-97
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• 2018

The traffic accident reports that are generated by the Traffic Broadcasting Networks(TBN) are unstructured data. It, however, has the value as some sort of real-time traffic information generated by the viewpoint of the drives and/or pedestrians that were on the roads, the time and spots, not the offender or the victim who caused the traffic accidents. However, the traffic accident reports, which are big data, were not applied to traffic accident analysis and traffic related research commonly. This study adopting text-mining technique was able to provide a clue for utilizing it for the impacts of traffic accidents. Seven years of traffic reports were grasped by this analysis. By analyzing the reports, it was possible to identify the road names, accident spot names, time, and to identify factors that have the greatest influence on other drivers due to traffic accidents. Authors plan to combine unstructured accident data with traffic reports for further study.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.4
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• pp.621-625
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• 2018

This paper proposes a method for bridge damage factor recognition from inspection reports using deep learning. Bridge inspection reports contains inspection results including identified damages and causal analysis results. However, collecting such information from inspection reports manually is limited due to their considerable amount. Therefore, this paper proposes a model for recognizing bridge damage factor from inspection reports applying Named Entity Recognition (NER) using deep learning. Named Entity Recognition, Word Embedding, Recurrent Neural Network, one of deep learning methods, were applied to construct the proposed model. Experimental results showed that the proposed model has abilities to 1) recognize damage and damage factor included in a training data, 2) distinguish a specific word as a damage or a damage factor, depending on its context, and 3) recognize new damage words not included in a training data.

• Journal of Educational Research in Mathematics
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• v.24 no.4
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• pp.645-668
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• 2014

This study was designed to gain insights into contemporary secondary mathematics curriculum revision in Korea. The two secondary mathematics curriculum reports submitted in the 1920s, the Kilpatrick Reports and 1923 Reports were compared and contrasted as the origin of recent math wars, and their backgrounds, committee members, viewpoints of math and math education and contents were analyzed to understand the perspectives of the two extreeme parts. Kilpatrick Reports was selected at that time, but nevertheless 1923 Report had taken a role of guiding secondary mathematics in US until the New Math era. The direction and process of mathematics curriculum revision were suggested based on the analysis of reports' short- and long-term influences. A close examination of the curriculum revision process in US and in Korea and the implications from the results are also included in the suggestion.

• Journal of Navigation and Port Research
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• v.30 no.1 s.107
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• pp.29-34
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• 2006

This study aims to provide divers with improved sqfe diving practices by analyzing reports on scuba diving casualties that recently (from 1997-2003) occurred in Korea, Japan and USA The result of this study may contribute to reduce the diving accident. The data were collected through the diving accident reports of various sources, which include reports of the KUA (Korea Underwater Association) technical committee, the accident statistical data of Korea Coast Guard, articles of domestic and foreign scuba diving magazines, accident reports of various newspapers, annual reports on decompression illness and diving fatalities by DAN (Diver Alert Network), diving accident data reported to local and national seminars, and medical treatment data of diving accident. The analysis focused on the diving casualties and the result showed that the casualty rate in Korea was 2.8 and 2.2 times higher than those in Japan and USA, respectively.