• 한국직업건강간호학회지
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• 제10권1호
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• pp.55-65
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• 2001

The purpose of this study was to find out the status of occupational health management and the degree of recognition about the occupational health management of employees 248 small-scale enterprises which have been managed by the small-scale enterprises health care management support institution in 1999, were selected for study, in Kwang-Ju City. 98 employees were selected in 116 industries of them to grasp recognition of employees about the occupational health management. ► The Status of Occupational Health Management 1. Of the sample industries, 62.1 percent employed eleven to twenty-nine workers. Of the sample workers, 72.1 percent occupied workers who were engaged in the production line. 2. Environment evaluation was made on 82.7 percent of the sample industries and general exam made on 66.5 percent and specific health exam done on 73.4 percent. 3. The harmful factors in the sample industries were found to lie noise, dust, solvent, heavy metal, etc. 4. In general health exam 1,774 workers were participated and 148 workers got the result of above grade C and were diagnosed as having the problems with digestive system (63.6%), circulatory system(20.6%). etc. ► The Degree of Recognition about The Occupational Health Management of Employees. 1. Respondents were mainly in the twenties (42.9%), males(69.1%), duration of working period of five to ten years(24.0%), office workers(51.0%), monthly income under one million(55.7%). 2. Recognition of employees about the occupational health management consists of workplace environmental evaluation, health education, health exam and protector management. Their recognition on health education showed high score (mean 3.1), but generally the score was low(mean 2.9).

• Journal of Electrical Engineering and Technology
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• 제10권3호
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• pp.709-718
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• 2015

Traditional transmission planning usually caters for rated wind power output. Due to the low occurrence probability of nominal capacity of wind power and huge investment in transmission, these planning methods will leads to low utilization rates of transmission lines and poor economic efficiency. This paper provides a novel transmission expansion planning method for integrating large-scale wind power. The wind power distribution characteristics of large-scale wind power output and its impact on transmission planning are analyzed. Based on the wind power distribution characteristics, this paper proposes a flexible and economic transmission planning model which saves substantial transmission investment through spilling a small amount of peak output of wind power. A methodology based on Benders decomposition is used to solve the model. The applicability and effectiveness of the model and algorithm are verified through a numerical case.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.3923-3942
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• 2022

Environment, price, regulation, and other factors influence the price of agricultural products, which is a social signal of product supply and demand. The price of many agricultural products fluctuates greatly due to the asymmetry between production and marketing details. Horticultural goods are particularly price sensitive because they cannot be stored for long periods of time. It is very important and helpful to forecast the price of horticultural products which is crucial in designing a cropping plan. The proposed method guides the farmers in agricultural product production and harvesting plans. Farmers can benefit from long-term forecasting since it helps them plan their planting and harvesting schedules. Customers can also profit from daily average price estimates for the short term. This paper study the time series models such as ARIMA, SARIMA, and neural network models such as BPN, LSTM and are used for wheat cost prediction in India. A large scale available data set is collected and tested. The results shows that since ARIMA and SARIMA models are well suited for small-scale, continuous, and periodic data, the BPN and LSTM provide more accurate and faster results for predicting well weekly and monthly trends of price fluctuation.

• 한국추진공학회지
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• 제19권5호
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• pp.37-45
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• 2015

본 논문에서는 음향 불안정 해석 기법을 이용하여 알루미늄 입자가 내포된 고체로켓 모터의 연소 불안정 현상을 예측하였다. 특히, 알루미늄 입자들의 로그정규분포 대비 단일 크기의 입자 분포가 연소 불안정 감쇠에 미치는 영향을 비교하여 각각의 민감도를 분석하였으며 고체로켓 모터의 길이 스케일 변화에 따른 음향 감쇠 효과를 단일 입자 크기를 가정한 경우와 비교하였다. 입자에 의한 감쇠는 불안정 모드 주파수 대역이 상대적으로 고주파인 작은 스케일 모터에서 효과적이었으며, 실제 포집장치를 통해 도출된 입자 크기 분포도를 고려한 연소 불안정 예측이 단일 입자 크기로 가정한 예측 결과보다 큰 불안정 감쇠를 보였다.

• 한국치위생학회지
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• 제15권3호
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• pp.363-369
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• 2015

Objectives: The purpose of this study is to investigate the cognition and practice of infection control in the dental hygienists. Methods: A self-reported questionnaire was completed by 220 dental hygienists in Busan and Gyeongnam from August 1 to 31, 2014. The questionnaire was adapted from Nam. The questionnaire consisted of four questions of the general characteristics of the subjects, two questions of infection control factors, four questions of clinic environment, 50 questions of awareness of infection control, and 50 questions of infection control practice. Cronbach's alpha in the awareness of infection control was 0.958 and that in infection control practice was 0.950. Results: The dental hygienists in the large scale hospitals tended to have higher score of cognition and practice of infection control thatn those in the small scale hospitals(p<0.001). Small scale hospitals tended to have lower infection rate than the large scale hospitals. The education for the infection control guideline reduced the infection prevalence rate. Conclusions: In order to reduce the infection prevalence rate, it is necessary to educate the dental hygienists continuously and to provide the infection control guideline to the dental clinics.

• Journal of the Korean Data and Information Science Society
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• 제16권1호
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• pp.107-114
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• 2005

We shall consider parametric estimations for the scale parameter in the exponential distribution when the parameter is function of a known exposure level, and obtain expectations and variances for their proposed estimators. And we shall compare numerically efficiencies for proposed estimators of the scale parameter in the small sample sizes.

• 한국유체기계학회 논문집
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• 제17권3호
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• pp.41-45
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• 2014

The biological aerated filter (BAF) reactor is regarded as an effective biological wastewater treatment method. It can remove pollutants by carrier filtration and biodegradation. Due to its advantages, which include high biomass retention, tolerance to toxicity, excellent removal efficiency, and slurry separation, BAF has been widely used to remove COD, $NH_4{^+}-N$, phosphorus, and other harmful organic substances. In this study, the BAF reactor was used to remove organic contaminants of domestic wastewater of Korea at both the benchand pilot-scale. The main objectives of this study are to: (i) investigate the removal efficiency of organic contaminants (ex. COD, nitrate, phosphorus) in BAF reactors at both scales; (ii) characterize the small-scale wastewater treatment plant using the BAF reactor. The concentration of COD in the influent increased from 69 to 246 mg/L. During the operation period, the final effluent concentration of COD remained maximum 4.0 mg/L, and the average removal efficiency was above 88%. The present study investigated the removal efficiencies of COD, TN, TP and $NH_4{^+}-N$ from smelting wastewater by BAF system. When treating wastewater in both bench and pilot-scale reactors, the BAF worked well.

• 한국환경보건학회지
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• 제44권3호
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• pp.227-237
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• 2018

Objectives: This study was investigated the characteristics of small-scale water works (SWW) in Gyeongnam area and conduct a health risk assessment of water-quality inspection items unfitted for water-quality standards (WQS). Methods: The characteristics of SWW in Gyeongnam province were analyzed using the data of SWW in the last three years (2014~2016) published in National Waterworks Information System. In addition, the health risk assessment for inspection items unfitted for WQS was carried out in four steps: hazard identification, dose-response assessment, exposure assessment, and risk characterization. Results: The total number of SWW in Gyeongnam area was gradually decreased from 2014 to 2016. In addition, drinking water sources of SWW were in the order of ground water, valley water, spring water, surface water, and river-bed water. The number of points unfitted for WQS in SWW by year was 22, 45, and 18 in 2014, 2015, and 2016, respectively, and a total of 112 points were found to unfit for WQS in SWW during 2014~2016. The hazard quotient (HQ) for fluoride, nitrate nitrogen, boron in the unfitted points for WQS was more than 1.0, and the mean values for turbidity and color in points unfitted for WQS were 2.38 nephelometric turbidity unit and 16.25 color unit, respectively. Conclusions: The HQ for fluorine, nitrate nitrogen and boron was more than 1.0 in points unfitted for WQS among SWW in Gyeongnam area, and the turbidity and the color degree exceeded WQS, which mean that there is a possibility of harmful impacts on the human health.

• 대한기계학회논문집B
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• 제37권5호
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• pp.523-530
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• 2013

전자제품과 같이 소형화 추세에 있는 제품에 대하여 열전달 촉진을 시키는 방법에 대하여 연구하였다. 두께 10 ${\mu}m$ 를 가지는 미세 날개구조를 이용하여 상하진동 운동을 유도하고 열전달 특성에 대하여 분석하였다. 본 연구에서는 양방향 유체-고체 연성해석 (Two-way FSI)를 이용하여 미세 날개의 거동을 분석하였으며, 단일 날개구조를 제작하여 해석모델을 검증하였다. 단일 및 다중 미세 날개구조에 의한 열전달 향상이 날개가 없는 경우와 비교해 볼 때 최대 40% 정도 향상됨을 알 수 있으며, 본 연구에서 제안된 방법에 의하여 향후 실제적인 열전달 촉진기술에 충분히 활용될 수 있을 것으로 사료된다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2019년도 제59차 동계학술대회논문집 27권1호
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• pp.123-124
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• 2019

This paper proposes an improved deep learning method based on small data sets for animal image classification. Firstly, we use a CNN to build a training model for small data sets, and use data augmentation to expand the data samples of the training set. Secondly, using the pre-trained network on large-scale datasets, such as VGG16, the bottleneck features in the small dataset are extracted and to be stored in two NumPy files as new training datasets and test datasets. Finally, training a fully connected network with the new datasets. In this paper, we use Kaggle famous Dogs vs Cats dataset as the experimental dataset, which is a two-category classification dataset.