• 한국산업보건학회지
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• 제23권3호
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• pp.229-242
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• 2013

Objectives: This study was designed to investigate the current status of the association of job-related information such as employment status, workplace environment, and hazard material exposures with health examination outcomes. Methods: The study used data from KNHANES 2007-2009 representing the three years of 2007-2009, which was conducted annually using a rolling sampling design that involved a complex, stratified, multistage, probability-cluster survey of a representative sample of the non-institutionalized civilian population in Korea. The final analytical sample consisted of 17,240 participants. Information on age, education, smoking history and alcohol intake was collected during the health interview. Job related information consisted of employment status, workplace environment, and hazardous material exposure. The selected indices of health examination were blood pressure, fasting glucose, blood cholesterol, HDL, SGOT, SGPT, and BUN. Results: In multiple logistic regression analysis using hypertension and pre-hypertension as dependent variables and job related categories as independent variables after covariate adjustments, the odds of hypertension and pre-hypertension were significantly lower in those with responsibility and power in their job activities. Interestingly, low odds for hypertension were observed among those who reported that their jobs were fast-paced. Conclusions: This study confirmed that some job-related categories in employment status, workplace environment, and hazardous material exposure had an association with health outcome status. It is worthwhile to comment that high responsibility and power in job activities were revealed as one of the important favorable factors to improve health condition of workers.

• 정보보호학회논문지
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• 제25권4호
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• pp.767-780
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• 2015

최근 몇 년간 스마트폰의 보급률이 폭발적으로 증가하면서 사이버범죄는 기존의 수사체계의 한계를 넘어서는 새로운 형태의 수사단서들을 쏟아내고 있다. 일선 경찰관서에서는 사건 접수 시 피해자로부터 이러한 형태의 수사단서를 수집하여 방대하게 축적하고 있으나, 이를 체계적으로 관리하고 있지 않아 많은 데이터 속에서 이것이 내포하고 있는 숨은 의미를 지나치는 경우가 많다. 사이버범죄에서 주 범행 도구인 컴퓨터 시스템의 특성상 기계적이고 복잡한 단서가 대량 생성되므로, 수집된 수사단서를 체계적으로 분류, 단순화하여 분석할 필요가 있다. 본 논문에서는 국내에서 발생되는 사이버범죄 유형에 따른 수사단서를 체계적으로 분류, 단순화하여 주요수사단서를 선정하고, 데이터 마이닝 및 시각화를 통해 사건 수사단서 간 상호 연관성을 확인할 수 있었다. 이러한 사이버범죄 데이터 활용을 통해 범죄 조기차단 및 중복수사를 방지하여 수사의 효율성을 증대하고 사이버범죄 예방을 도모하고자 한다.

• 한국지역지리학회지
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• 제18권4호
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• pp.388-399
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• 2012

본 연구에서는 기업 대상 설문조사와 면담조사 결과를 토대로 진주 실크산업의 혁신역량을 분석하고, 지역 실크산업 경쟁력 강화를 위해 추진하였던 지역혁신특성화사업의 성과를 평가하였다. 연구의 주요 내용은 다음과 같다. 첫째, 진주 실크산업의 혁신의 원천은 수도권의 고객기업과 진주지역의 대학 및 지원기관인 것으로 나타났으며, 이들과의 네트워크를 통해 제품 및 공정기술의 혁신을 추구하고 있다. 둘째, 진주 실크산업 경쟁력 강화를 위해 추진한 지역혁신특성화사업은 지역 실크업체들의 마케팅 역량 및 R&D 역량 제고라는 측면에서 대체로 긍정적인 영향을 미친것으로 나타났다. 그럼에도 불구하고 지속적으로 쇠퇴하는 지역 실크산업의 존립기반을 강화하기 위해서는 혁신 인프라를 강화하고, 경쟁력 기반을 갖춘 기업들을 중심으로 작지만 강한 기술혁신형 산업 클러스터로의 전환을 모색해야 할 것이다.

• 한국수산과학회지
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• 제47권3호
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• pp.264-273
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• 2014

To investigate species composition and seasonal variation of demersal organisms in the coastal waters off the Taean peninsula, otter trawl surveys were conducted from April 2010 to January 2011. A total of 75 species were collected, including 44 species of Pisces, 19 species of Crustacea, 6 species of Cephalopoda, 4 species of Gastropoda, and 1 species each of Bivalvia and Echinoidea. The dominant species in each season were Palaemon gravieri in spring, Charybdis bimaculata in summer, Loligo japonica in autumn, and Crangon hakodatei in winter. The number of species, individuals and biomass were highest in autumn and lowest in winter. The diversity index was highest in summer and lowest in winter. The dominance index was highest in winter and lowest in summer. The richness index was highest in autumn and lowest in winter. The evenness index was highest in summer and lowest in autumn. A cluster analysis showed that demersal organisms were divided into two groups; spring and winter organisms (Group 1) and summer and autumn organisms (Group 2). We detected a significant difference (P<0.05) between these groups, mainly owing to Platycephalus indicus, Repomucenus koreanus, and Paralichthys olivaceus within Pisces: Trachysalambria curvirostris, Metapenaeopsis dalei, P. gravieri, and C. hakodatei within Crustacea: and L. japonica within Cephalopoda.

• Safety and Health at Work
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• 제7권3호
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• pp.201-207
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• 2016

Background: Korean Working Conditions Surveys (KWCS), referencing European Working Conditions Surveys, have been conducted three times in order to survey working condition and develop work-related policies. However, we found three limitations for managing the collected KWCS data: (1) there was no computerized system for managing data; (2) statistical KWCS data were provided by limited one-way communication; and (3) the concept of a one-time provision of information was pursued. We suggest a web-based public service system that enables ordinary people to make greater use of the KWCS data, which can be managed constantly in the future. Methods: After considering data characteristics, we designed a database, which was able to have the result of all pairwise combinations with two extracted data to construct an analysis system. Using the data of the social network for each user, the tailored analysis system was developed. This system was developed with three methods: clustering and classification for building a social network, and an infographic method for improving readability through a friendly user interface. Results: We developed a database including one input entity consisting of the sociodemographic characteristics and one output entity consisting of working condition characteristics, such as working pattern and work satisfaction. A web-based public service system to provide tailored contents was completed. Conclusion: This study aimed to present a customized analysis system to use the KWCS data efficiently, provide a large amount of data in a form that can give users a better understanding, and lay the ground for helping researchers and policy makers understand the characteristics.

• 한국환경과학회지
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• 제18권2호
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• pp.129-139
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• 2009

Development of an artificial neural network model was presented to predict the daily maximum $SO_2$ concentration in the urban-industrial area of Ulsan. The network model was trained during April through September for 2000-2005 using $SO_2$ potential parameters estimated from meteorological and air quality data which are closely related to daily maximum $SO_2$ concentrations. Meteorological data were obtained from regional modeling results, upper air soundings and surface field measurements and were then used to create the $SO_2$ potential parameters such as synoptic conditions, mixing heights, atmospheric stabilities, and surface conditions. In particular, two-stage clustering techniques were used to identify potential index representing major synoptic conditions associated with high $SO_2$ concentration. Two neural network models were developed and tested in different conditions for prediction: the first model was set up to predict daily maximum $SO_2$ at 5 PM on the previous day, and the second was 10 AM for a given forecast day using an additional potential factors related with urban emissions in the early morning. The results showed that the developed models can predict the daily maximum $SO_2$ concentrations with good simulation accuracy of 87% and 96% for the first and second model. respectively, but the limitation of predictive capability was found at a higher or lower concentrations. The increased accuracy for the second model demonstrates that improvements can be made by utilizing more recent air quality data for initialization of the model.

• 한국빅데이터학회지
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• 제4권2호
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• pp.115-126
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• 2019

무역수출 분야에서 수출 지수에 관한 논의는 수차례 있었으나 객관적 지표로 설명할 수 있는 명확한 무역수출 지수는 없다. 한국무역협회(KITA), 대한무역투자진흥공사(KOTRA) 등에서 지표를 만들고자 하는 시도를 하고 있으나 수출기업의 역량을 표현할 수 있는 방법에 대하여 현재 계속 고민 중이다. 이에 본 연구는 기업의 규모, 신용도와 같은 공시지표와 거래고객수, 거래횟수, 상품개수, 거래량, 거래기간 등의 활동지표를 feature로 설정하여 인공지능 학습 데이터 셋을 구축하고, 딥러닝 알고리즘에서 Lightgbm을 이용하여 수출 가능 기업에 대한 분류 모델을 제시한다. 또한 기업이 속한 산업 군집 분류 모델로 Graph Neural Network을 사용하여 기업간, 품목간, 사업군에서의 수출 가능 역량을 표현하는 수출 Live지수를 산출하였으며 이는 지수를 산출하는 현재로부터 기업의 과거 활동을 포함함으로써 객관성을 확보하였다.

• Ocean and Polar Research
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• 제31권2호
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• pp.177-187
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• 2009

This study examined the multi-scale variabilities of sea surface temperature (SST) and salinity in the Japan/East Sea (JES) based on statistical analyses of observational data, with a focus on the northwestern part of the sea. The regionality of JES SST variability was estimated for different frequency ranges on semimonthly (11-17 days), monthly to seasonal (30-90 days), quasi-semiannual (157-220 days), and quasi-biennial (1.5-3 years) time scales using cluster analyses of daily gridded SST data for 1996 to 2007 from the Japan Meteorological Agency (JMA). Several significant peaks and regional cores were found in each frequency range of the SST anomaly (SSTA) oscillations. Quasi-semiannual SSTA oscillations with high amplitude were found in the south-southwestern part of the Japan Basin ($41-43^{\circ}N$) and were amplified in the area adjacent to Peter the Great Bay. Oscillations with periods of 79 and 55 days also prevailed over the southwest Japan Basin between the Yamato Rise and the continental slope. A similar method was applied to classify SST and the annual cycle of surface salinity using Generalized Digital Environmental Model (GDEM) gridded data. The Tatarskii Strait and adjacent area showed the most specific annual cycles and variability in salinity on interannual to interdecadal time scales. The most significant inverse relationship between surface salinity in the Tatarskii Strait and southern JES areas was found on the interdecadal time scale. Linkages of sea water salinity in the Tatarskii Strait with Amur River discharge and wind velocity over Amurskii Liman were also revealed.

• 동의생리병리학회지
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• 제31권3호
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• pp.188-193
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• 2017

This study investigated the antioxidant activities of distilled water, ethanol and methanol extracts of Plunus mume flower buds (PFB). The various solvent extracts of PFB were evaluated for their total polyphenol, flavonoid, reducing power and free radical scavenging activities by FRAP and DPPH analysis. The ethanol extract of PFB contained significantly higher amounts of total polyphenols (145 mg GAE/g) and flavonoids (25.43 mg QE/g) than methanol (132 and 25.42) and distilled water (113.6 and 18.04). Among solvent extracts of PFB, the ethanol extract showed the highest antioxidant activities. The 100% ethanol extract of PFB contained significantly higher amounts of total polyphenols and flavonoids than 70% and 50% ethanol extracts. Moreover, the 100% ethanol extract of PFB showed high efficacy in DPPH radical scavenging activity and in collagenase inhibition activity. This results suggest that 100% ethanol extract of PFB has the most effective antioxidant capacity compared to the methanol and water extracts tested in the present study. Thus, it can be applied for the effective extraction of functional material from PFB for usage of cosmeceutical and/or food industries.

• 보건행정학회지
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• 제17권4호
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• pp.54-81
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• 2007

The paradigm of health promotion requests community participation and its active problem-solving. Community is conceptualized as a resource pool to be organized. Such resource is called community capacity. Community participation is a process of capacity building. Community voluntary associations are considered as valuable resource to be used for health promotion. This paper tried to identify the network structure among community voluntary associations and to infer the possibility to make such network of organizations participate in health promotion programs. Two survey data were used for this research: 1) Measurements and Evaluations of Community Capacity on Dobong-gu (N=94) 2) A development plan of health medicine service to be Healthy Gangdong-gu (N=69). The questionnaire included such variables measuring community capacity as leadership, membership, organizational resources, and inter-organizational network, etc. Both regions had the following common characteristics: 1) There were positive correlations between the organization's budget and membership. 2) Organizational types were associated with their founded years. Two regions showed the following differences: Dobong displayed the high density of community organizations, but Gangdong showed the low density. Dobong community organizations were able to be classified into three network clusters such as women & environments, youth & adolescent, and sports organizations. Each cluster of organizations favored the different type of health promotion programs. Gangdong community organizations were less developed, and not possible to be clustered. Depending upon the level of community capacity or community organizations' differentiation, the strategy of community participation could be settle down in different ways. Particularly the health agency had to pay more attention to support the growth of civil organizations.