• 한국환경보건학회지
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• 제30권3호
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• pp.272-282
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• 2004

Stress is a primary health promotion issue in worksite research because psychological distress is closely related not only to workers　 health status but also to their job performance. This study identified the work environment and work condition factors affecting workers　 stress symptoms among the Korean manufacturing factory workers. A total of 7,818 factory workers employed in 1,562 manufacturing companies participated in the Korean nation-wide occupational health survey conducted by the Korean Occupational Safety and Health Agency in 2003. Participants were selected by the stratified proportional sampling process by standardized industry classification, company size, and locations. Trained interviewers visited the target companies and interviewed the factory workers randomly selected in each company. Work environments included physical work environments (temperature, noise, hazardous organic compounds, and so on) and psychological work environments (job demands, job control, and social support at work), and work conditions included daily working hour, rest time, and so on. Men were 71.5% and the mean age was 34.0 years old. The average working period in the present company was 6.9 years. The average stress score was 26.2 under the perfect score, 50, which means the moderate level of stress. Perceived stress had significant correlations with young age, poor physical work environment, high fatigue, bad perceived health status, and high job demands in Pearson's simple correlation analysis. Perceived health status and perceived fatigue explained 21% variance of stress symptoms and the work environment factor explained 4.8% of that; however, work condition did not have the sufficient effect. In particular, psychosocial work environment variables (job demand, job control, and social support at work) had a clear effect on stress symptoms rather than the physical work environments. Poor perceived health status, severe perceived fatigue, poor physical work environment, high job demands, low social support, heavy alcohol consumption and little exercise were significantly related to high stress symptoms in the Korean manufacturing workers.

• 대한간호학회지
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• 제43권1호
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• pp.1-10
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• 2013

Purpose: The purpose of this study was to develop a prediction model for the characteristics of older adults with depression using the decision tree method. Methods: A large dataset from the 2008 Korean Elderly Survey was used and data of 14,970 elderly people were analyzed. Target variable was depression and 53 input variables were general characteristics, family & social relationship, economic status, health status, health behavior, functional status, leisure & social activity, quality of life, and living environment. Data were analyzed by decision tree analysis, a data mining technique using SPSS Window 19.0 and Clementine 12.0 programs. Results: The decision trees were classified into five different rules to define the characteristics of older adults with depression. Classification & Regression Tree (C&RT) showed the best prediction with an accuracy of 80.81% among data mining models. Factors in the rules were life satisfaction, nutritional status, daily activity difficulty due to pain, functional limitation for basic or instrumental daily activities, number of chronic diseases and daily activity difficulty due to disease. Conclusion: The different rules classified by the decision tree model in this study should contribute as baseline data for discovering informative knowledge and developing interventions tailored to these individual characteristics.

• 한국수자원학회논문집
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• 제35권4호
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• pp.411-423
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• 2002

유출에 대한 신속하고 정확한 예측은 수문 및 수자원 분야에 있어서 궁극적인 목표 중의 하나이며, 우리나라와 같이 강우에 대한 유출의 응답이 짧은 시간에 발생하는 경우에 무엇보다도 중요하다. 따라서, 토지이용변화 등에 의한 유출의 변화 및 감시를 포함하는 유역내의 수문 변수의 변화를 적절하게 고려할 수 있는 분포형 자료를 선호하게 된다. 이때 분포형 모형을 적용시키기 위해서는 강우의 공간특성을 알아야 하며, 각 격자별 강우량이 입력자료로 활용되어 각 격자별 유출특성을 파악하게 된다. Landsat TM 자료를 이용할 경우 분포형 모형을 위한 유역 내에 관련된 인자 및 식생, 토지피복 등의 자세한 정보를 제공할 수 있다. 본 연구에서는 SCS의 유출곡선번호(CN)에 의한 방법을 이용하여 유효우량도를 작성하여 신속하게 유출의 감시가 가능하도록 하는 기법에 대하여 검토하였다. 호우시에 있어서 유효우량에 대한 시계열 자료는 본 기법을 통하여 분포형태로서 계산i과 수 있으며, 이 결과는 분포형 유출모형을 이용하여 유역 출구에서의 수문곡선을 산정할 수 있다.

• 대한골관절종양학회지
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• 제4권1호
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• pp.30-36
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• 1998

Squamous cell carcinoma is a neglected disease entity in orthopedic oncology. The purpose of this study was to analyze overall survival and the role of surgery on survival and to evaluate the significance of possible prognostic factors. From Oct, 1986 to Aug, 1996, 57 patients were enlisted and 42 patients ere eligible. Inclusion criteria included more than one year follow-up and no distant metastasis at the first visit. Staging and survival followed AJC classification and Kaplan-Meier plot. Stage II included 17 cases and stage III, 25 cases. Thirty-eight patients underwent operations, chemotherapy, and/or radiotherapy, and the remaining four had operations only. The chemotherapeutic regimen was adriamycin-cisplatin. The average follow-up period was 45 months. The ten-year actuarial survival rate of whole patients was 65.4%. Location of primary lesion, stage, pathologic grading, and intensity of chemotherapy in the same stage showed a significant difference in survival. Nine out of 42 patients had local recurrence. Seven patients had inadequate wide margins and two had intralesional margins. Average period of recurrence from operation was 13(4-35)months. The operation itself had no impact on survival but a surgical margin of no less than 3cm from the lesion was important for local control. Pathological grade and staging were significant variables for long term survival. Acral lesion had a significantly higher chance of regional and distant metastasis but actual survival showed no difference. In stage II, aggressive chemotherapy could delay or reduce the chance of regional or distant metastasis.

• 대한약침학회지
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• 제20권4호
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• pp.230-234
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• 2017

Objective: Neurasthenia is a disease which consists of increased fatigue or bodily weakness and exhaustion plus pantalgia, dizziness, headache and other symtoms relevant to autonomic nerve dysfunction. There are plenty of studies investigating the history of diagnostic criteria of neurasthenia, which is influenced by diverse cultural(or social) environment. The obejective of this study is to provide review of the previous studys on the changes of neurasthenia diagnoses in the context of local area to find meanings of these transition and improve health care for psychiatric patient. Methods: Literature review was conducted on studies demonstrating diagnostic criteria of neurasthenia with cultural(or social) environment. We investigated the literature reviews or observative studies which described alteration of diagnostic criteria of neurasthenia and assessed its significance. After selecting eligible studies, the authors read the articles and summarized the meaningful contents those were significant in clinical practice. Results: Transformation of Chinese Classification of Mental Disorder(CCMD) integrated with internationally utilized DSM-IV or ICD-10 is controversial about its significance in that it had limited effect on public health care due to the variables of sociocultural context, but primarily differentiated neurasthenia from other disorders. The latter one can be the directing point of the diagnostic criteria of other culture-bound diseases, which is the traits of not outstanding mood(or affect) than other neurotic disorders. Conclusion: As diagnostic criteria of neurasthenia varies, the significance of this variation is controversial, but could be the paragon of other culture-bound diseases.

• 한국조경학회지
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• 제21권2호
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• pp.50-67
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• 1993

This study analyzed the distribution and structure of the vegetation landscape in Naejangsan National Park. The plant distribution was investigated using a field survey. There were 72 sites sampled using the clumpled sampling method. The data derived from the investigation was analyzed using the quantitative analysis of Bray-Curtis method. The analysis was performed by the classification of TWINSPAN. The ordination of DCA and RA was used for the species composition and successional trends. The results are as follows; 1. Quercus. serrata-Q. variabilis community as 21.76(16.49$\textrm{km}^2$), was the largest community in the actual vegetation of the Naejangsan National Park. The degree of green naturality index 8 area covered 64.8% of the study area and the index 6 area did 16%. 2. Classified by the ordination of DCA and environmental variables, such as the plant community was divided into seven groups according to the altitude and forming groups; Chamaecy Paris. pisifera-P.densiflora community, P.densiflora community, Q.variailis community, T.nuciofera-A.palmatum community. 3. Ther species diversity and evenness indices of C.pisifera-P.densiflora community, P.densiflora community appeared low but C.laxiflora communitywhich was the most stable community in the study area. 4. The similarity indices between Q.variabilis community and Q.serrata-Q.variabilis community were calculated 58.84%, but those between other communities were comparatively low level. 5. The successional trends of DBH class seem to be from C. pisifera-P.densiflora community, P.densiflora community to Quercus species community and from Q.variabilis community, Q.serrata-Q.variabilis community to Carpinus species community. 6. Results suggested that the successional trends in Naejangsan National Park; P.densiflora community\longrightarrowQ.variablilis community, Q.serrata-Q.variabilis community\longrightarrowC.laxiflora community in sequence.

• 사물인터넷융복합논문지
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• 제2권2호
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• pp.1-6
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• 2016

최근 다양한 형태의 착용형 컴퓨터가 연구되고 있다. 본 논문에서는 사용자가 음악을 들으며 사용할 수 있는 모션헤드셋의 동작분류기 제작을 위해 머리 움직임 정보의 특징을 분석한다. 모션헤드셋 프로토타입은 스마트폰과 블루투스 통신 방법을 이용하여 음악을 수신받으며, 가속도센서가 측정한 동작정보를 스마트폰으로 전송한다. 그리고 스마트폰에서는 모션 분류기를 통해 머리의 움직임을 분류한다. 실험을 위해 프로토타입을 제작하였다. 사용자 머리의 '위', '아래', '왼쪽', 그리고 '오른쪽' 머리 움직임을 베이지안 분류기를 이용하여 분류하였다. 그 결과 '위'와 '아래'의 머리 움직임의 경우 x, z축의 가속도 센서값이 큰 변화가 있었다. 추후에 사용성 평가를 통해 동작 분류기를 제작할 수 있는 적합한 변수를 찾아 낼 계획이다.

• Journal of the Korean Wood Science and Technology
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• 제48권5호
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• pp.591-607
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• 2020

This study was aimed to investigate the changes of chemical composition of the volatile organic compounds (VOCs) emitted from red pine needles in the process of needle abscission or senescence. The VOCs in intact, senescent, and litter red pine needle samples were analyzed by headspace-solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC/MS). And then, multivariate statistical interpretation of the processed data sets was conducted to investigate similarities and dissimilarities of the needle samples. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to investigate the dataset structure and discrimination between samples, respectively. From the data preview, the levels of major components of VOCs from needles were not significantly different between needle samples. By PCA investigation, the data reduction according to classification based on the chlorophyll a / chlorophyll b (Ca/Cb) ratio were found to be ideal for differentiating intact, senescent, and litter needles. The following OPLS-DA taking Ca/Cb ratio as y-variables showed that needle samples were well grouped on score plot and had the significant discriminant compounds, respectively. Several compounds had significantly correlated with Ca/Cb ratio in a bivariate correlation analysis. Notably, the litter needles had a higher content of oxidized compounds than the intact needles. In summary, we found that chemical compositions of VOCs between intact, senescent, and litter needles are different each other and several compounds reflect characteristic of needle.

• 대한한방내과학회지
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• 제22권2호
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• pp.223-237
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• 2001

Objective : There have not been studies on the oriental medicine research trends and qualitative analysis of Korean oriental medicine articles in Korea, particularly in the oriental medicine area. This study's purpose is to appreciate Korean oriental medicine's research trends and assess the quality of the Korean oriental medical journals' level. This study will help upgrade Korean oriental medical journals. Method : We found 93 stroke-related articles in the Journal of Korean Oriental Medicine, published between 1980(Volume 1) and 2001(Volume 45). We surveyed the institutes involved in each study, and the number of people in each study. We seperated by epidemiological study design, the studies into categories. Campbell and Stanley's study design into 6 categories, statistical methods into 13 categories. Next, we assessed the 41 articles by a checklist, which had 10 categories. The quality score was analyzed by survey variables over the period, which were divided by the date of publication: the 1980s, the first half of the 1990s, second half of the 1990s and 2000s. Results : 46.3% od the studies didn't use statistical methods. 56.1%, were case series studies by classification of epidemiological study design, and 53.6% were one-shot case studies designed by Campbell and Stanley's study design. The quality score was 58.33 point 60 is average. In quality level by Browman GP etc.'s, 83.0% of the studies were included in V levels. But, the quality scores were significant by presence of reviewer system, statistical method's usage, and over the period. Conclusion : The Journal of Korean Oriental Medicine needs to improve the quality its articles. To improve the quality of oriental medicine related articles, the following are necessary: working together, joint work of inter-educational system, strengthening of reviewer system, use of statistical methods, and consulting to the expert of research at the stage of study design.

• Asia pacific journal of information systems
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• 제9권4호
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• pp.23-40
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• 1999

This paper proposes a hybrid intelligent system that predicts the failure of firms based on the past financial performance data, combining neural network and rough set approach, We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios and qualitative variables and objects (i.e., firms) is reduced with no information loss through rough set approach. And then, this reduced information is used to develop classification rules and train neural network to infer appropriate parameters. Through the reduction of information table, it is expected that the performance of the neural network improve. The rules developed by rough sets show the best prediction accuracy if a case does match any of the rules. The rationale of our hybrid system is using rules developed by rough sets for an object that matches any of the rules and neural network for one that does not match any of them. The effectiveness of our methodology was verified by experiments comparing traditional discriminant analysis and neural network approach with our hybrid approach. For the experiment, the financial data of 2,400 Korean firms during the period 1994-1996 were selected, and for the validation, k-fold validation was used.