Approximately 40,000 elevators are installed every year in Korea, and they are used as a convenient means of transportation in daily life. However, the continuous increase in elevators has a social problem of increased safety accidents behind the functional aspect of convenience. There is an emerging need to induce preemptive and active elevator safety management by elevator management entities by strengthening the management of poorly managed elevators. Therefore, this study examines domestic research cases related to the evaluation items of the elevator safety quality rating system conducted in previous studies, and develops a statistical model that can examine the effect of elevator maintenance quality as a result of the safety management of the elevator management entity. We review two types: odds ratio analysis and logistic regression analysis models.

The bandgap characteristics of semiconductor materials are an important factor when utilizing semiconductor materials for various applications. In this study, based on data provided by AFLOW (Automatic-FLOW for Materials Discovery), the bandgap of a semiconductor material was predicted using only the material’s compositional features. The compositional features were generated using the python module of ‘Pymatgen’ and ‘Matminer’. Pearson’s correlation coefficients (PCC) between the compositional features were calculated and those with a correlation coefficient value larger than 0.95 were removed in order to avoid overfitting. The bandgap prediction performance was compared using the metrics of R2 score and root-mean-squared error. By predicting the bandgap with randomforest and xgboost as representatives of the ensemble algorithm, it was found that xgboost gave better results after cross-validation and hyper-parameter tuning. To investigate the effect of compositional feature selection on the bandgap prediction of the machine learning model, the prediction performance was studied according to the number of features based on feature importance methods. It was found that there were no significant changes in prediction performance beyond the appropriate feature. Furthermore, artificial neural networks were employed to compare the prediction performance by adjusting the number of features guided by the PCC values, resulting in the best R2 score of 0.811. By comparing and analyzing the bandgap distribution and prediction performance according to the material group containing specific elements (F, N, Yb, Eu, Zn, B, Si, Ge, Fe Al), various information for material design was obtained.

In this study, we performed algorithms to predict algae of Chlorophyll-a (Chl-a). Water quality and quantity data of the middle Nakdong River area were used. At first, the correlation analysis between Chl-a and water quality and quantity data was studied. We extracted ten factors of high importance for water quality and quantity data about the two weirs. Algorithms predicted how ten factors affected Chl-a occurrence. We performed algorithms about decision tree, random forest, elastic net, gradient boosting with Python. The root mean square error (RMSE) value was used to evaluate excellent algorithms. The gradient boosting showed 10.55 of RMSE value for the Gangjeonggoryeong (GG) site and 11.43 of RMSE value for the Dalsung (DS) site. The gradient boosting algorithm showed excellent results for GG and DS sites. Prediction value for the four algorithms was also evaluated through the Receiver operating characteristic (ROC) curve and Area under curve (AUC). As a result of the evaluation, the AUC value was 0.877 at GG site and the AUC value was 0.951 at DS site. So the algorithm‘s ability to interpret seemed to be excellent.

Perineural invasion (PNI) is the underestimated metastatic pathway and has been widely recognized as a negative prognostic factor in many human cancers. L1CAM is one of members of the immunoglobulin-like cell adhesion molecule (CAM) family, which play a role in neural development. Moreover, a new role of L1CAM outside the nervous system has been revealed. Overexpression of L1CAM was involved in the tumor progression and LN metastasis in various malignancies. In the present study, presence of PNI and L1CAM expression were examined to define their prognostic values in OSCC. In addition, association of L1CAM expression with presence of PNI was assessed to define the value as a candidate molecule supporting the diagnosis of PNI. We found that presence of PNI significantly correlated with LN metastasis and advanced clinical stage. L1CAM expression also significantly correlated with differentiation, lymph node metastasis, advanced clinical stage, as well as presence of PNI. Our results suggest that L1CAM seems to play a role in tumor progression, possibly through the PNI-related mechanism and could be a molecular marker for supporting the presence of PNI and predicting clinical outcome in OSCC.

이 연구는 강원대학교 학술림 내의 산지계류를 대상으로 2년간(2017∼2018)의 현지 모니터링에 기초하여 수온과 강우, 유량 및 기온 등 환경인자간의 관계를 분석하고, 계절별 산지계류의 수온변화 예측기법에 대하여 검토하였다. 동절기를 제외한 봄, 여름 및 가을철로 구분하여 단계적 다중선형회귀분석을 실시하였으며, 계절별 산지계류의 수온변화에 미치는 환경인자의 영향을 분석하였다. 그 결과, 산지계류의 일평균 수온은 봄철 6.9∼17.7℃로 기온과 유의적 관계를 나타내었고, 여름철 12.2∼26.3℃로 기온, 유량과 유의적 관계를 나타냈으며, 가을철 3.6∼19.3℃로 기온 및 유량과 유의적 관계를 나타내는 등 계절별로 산지계류의 수온에 미치는 영향인자는 다르게 나타났다. 다중선형회귀식은 봄철 (0.553×기온)+(0.086×유량)+4.145(R2=0.505; p<0.01), 여름철 (0.756×기온)+(-0.072×유량)+2.670(R2=0.510; p<0.01), 가을철 (0.738×기온) +(0.028×강우)+2.660(R2=0.844; p<0.01)이었다. 도출된 모든 회귀식의 결정계수(R2)는 기온만으로 예측한 경우보다 높게 나타났고, 봄철에서 가을철로 갈수록 증가하였다. 향후 정밀도 높은 산지계류의 수온변화 예측을 위해서는 지속적인 현지 모니터링과 함께 시･공간적 데이터의 확보가 중요하다고 판단된다.

Recently the incidence of rollover accidents has increased due to the increase of SUV, and the probability of occupant injury in rollover accidents is very high, so research is needed accordingly. In this study, PC-CRASH, which is a program used for traffic accident analysis, is used for checking rollover speed and rollover angle of each situation in case of rollover accident, and applied to design variables of LS-DYNA which is finite element analysis program, so deformation displacements of roof according to collision velocity and angle were derived. Also, it is possible to predict rollover vehicle speed by using the derived value and the measured deformation displacement of roof in actual rollover accident, and it is possible to reconstruct accident more accurately by applying to PC-Crash which is traffic accident reconstruction program, so it is thought that it can be utilized analyzing traffic accident usefully.

본 연구는 최근 국내에서 발생한 산사태를 중심으로 수량화이론을 이용하여 산림환경인자가 발생면적에 미치는 영향 분석을 통해 예방적인 측면에서 산사태 발생 위험성에 대한 예측기준을 작성하였다. 산사태 재해로 발생면적에 영향을 미치는 각 인자의 기여도는 토심(0.3350)로서 가장 높았으며, 다음으로 임상(0.1741), 표고(0.1416), 사면위치(0.1266), 종단사면(0.1236), 모암(0.1146), 경사(0.1133), 방위(0.1084)으로 높게 나타났다. 산사태 발생 위험 기여도가 높은 8개 인자의 category별 상대점수 범위는 0점에서 1.2372점 사이에 분포하고 있었고 중앙값은 0.6186점이었다. 이 점수를 기준으로 산사태 발생 위험성을 4개 등급으로 구분한 예측 판정표를 작성하였다. Ⅰ등급의 점수는 0.9280 이상, Ⅱ등급은 0.6187∼0.9279, Ⅲ등급은 0.3094∼0.6186, IV등급은 0.3093 이하로 나타나 Ⅰ등급, Ⅱ등급, Ⅲ등급에서 산사태 발생 비율이 97.4%로서 비교적 높은 적중률을 보였다. 따라서 본 판정표는 산사태발생 위험도 판정에 유용하게 활용할 수 있을 것으로 판단된다.

초기에 진단된 담낭암은 담낭 용종이나 담낭 결석 같은 다 른 양성 질환에 대한 치료 목적으로 담낭절제술을 시행한 이 후에 우연히 발견되는 경우가 대부분이다. 의료기술과 향상 에 따라 담낭 용종의 발생률이 증가했음에도 불구하고, 담낭 용종에서 악성을 시사하는 인자들에 대한 연구는 부족한 상 태이다. 본 연구에서는 437명의 환자 중, 담낭 용종으로 진단 된 첫 번째 군의 환자들은 359명이었고, 53명의 담낭선종, 25 명의 담낭암으로 진단된 환자들은 두번째 군에 분류하였다. 두번째 군의 환자들이 첫 번째 군의 환자들에 비해서 유의하 게 고령(50세 이상), 10 mm 이상의 크기, 담낭벽의 두께 증 가를 보였다. 담석 여부는 두 군간에 유의한 차이를 보이지 않았다. 50세 이상, 크기 증가, 담낭벽의 두께 증가 등은 담낭 용종에서 담낭암 또는 전구 병변의 가능성을 시사할 수 있 다. 이런 인자들을 가지고 있는 담낭 용종 환자에서 담낭절 제술을 고려해야 한다.

초분광영상을 이용하여 방울토마토의 전체 면에서 반사스펙트럼을 획득하였으며 숙도 등급(GN-RD)에 따른 스펙트럼의 차이를 관찰하였다. 방울토마토의 반사스펙트럼에서 클로로필에 의한 675 nm 영역의 흡수가 관찰되었고, 당과 수분의 영향으로 알려진 840 nm, 970 nm 영역에서 흡수가 관찰되었다. 특히 GN에서 RD 등급으로 숙도가 진행될수록 평균 스펙트럼의 경우 반사율이 낮아지는 경향이 관찰되었다. 총 8개의 전처리를 이용하여 전 숙도 등급의 시료에 적용한 PLS 회귀 분석에서 내부품질들 중 경도 예측모델이 가장 우수한 것으로 확인되었다. 이때 전처리는 평균값을 이용한 정규화이었으며 결정계수는 0.876, 그리고 SEP은 1.875 kgf 이었다. 당도의 경우는 최대값을 이용한 정규화에서 결정계수가 0.823과 SEP 0.388oBx로 나타났으며, 산 함량의 경우 최대값을 이용한 정규화에서 0.620의 결정계수와 0.208%의 SEP이 확인되었다. 상품성을 고려한 PK, LR, RD 등급의 시료에서 PLS 회귀 분석을 실시한 결과 내부품질 중 전체의 숙도 등급의 시료를 사용하여 예측한 결과보다는 전체적으로 다소 낮은 예측결과를 확인할 수 있었다. 내부 품질 중 경도에서 가장 높은 예측모델이 확인되었으며, 전처리는 일정 범위를 이용한 정규화이고 0.679의 결정계수와 0.976oBx의 SEP이 확인되었다. 당도는 최대값을 이용한 정규화에서 0.586의 결정계수와 0.546 kgf의 SEP의 결과를 보였으며 산 함량은 Savitzky Golay의 2차 미분에서 0.547의 결정계수와 0.188%의 SEP을 보였다. 본 연구에서는 최근 연구 활용이 시작되고 있는 최신기술인 초분광 반사영상을 이용하여 방울토마토 내부품질인 경도, 당도, 산 함량 예측의 가능성을 확인하였다. 초분광영상은 영상처리를 이용하여 외부의 결함 및 외부 착색도 등도 측정할 수 있으므로 본 연구에서 수행한 내부품질 측정과 융합하여 복합적인 농산물 품질 선별기 개발에 활용할 수 있을 것으로 판단된다.

To research indoor air pollution in the training rooms of technical high school, the temperature, air current, humidity, CO₂, CO, O₃ were measured by Indoor Climate System(ICS 500, Casella, UK) at each classroom, scientific laboratory, electricity training room, electronic equipment training room and welding training room. The change of air pollution concentration and its correlation were additionally compared and analyzed. At closed small space such as classroom, scientific laboratory, electronic equipment training room and electricity training room, the CO₂ concentration was obtained to the 2,030ppm(max.), which is higher than notified and recommended standard value(1,000ppm) by Ministry of Health and Welfare and Ministry of Environment, Korea. At welding training room where is larger and more ventilated than general classroom, CO concentration was measured to the 3.6ppm, which is higher than average 1ppm measured at other training rooms. The concentration of O₃ is not yet regulated from the standards of underground air quality, but at welding training room it was measured as 0.11ppm(max.) that is higher than 0.01ppm measured at other training rooms. The higher value of temperature, air current, radiant temperature and CO₂ concentration was shown at scientific laboratory, electricity training room and electronic equipment training room where are closed and same with the scale of classroom. And the higher concentration of CO₂, CO and O₃ was shown at welding training room which was opened larger classroom. The indoor air pollution by CO₂, CO and O₃ may directly affect on the training room where many students work at a small space, and they should be controlled appropriately. Each experimental formulas were made for the estimation of CO₂, CO and O₃ concentration depending on some kinds of variables at each training room. It is found that indirect ventilation system with a filter will be needed for regular and constant ventilation and the ventilation system should be applied to protect and make clean and comfortable environment of training rooms at technical high school.

경험적 직교함수(EOF)분석법과 다중회귀법에 기초하여 지연상관된 광역규모 예측인자로부터 3개월 이전에 계절 강수량을 예측할 수 있는 슈퍼앙상블 모델이 개발되었다. 이 모델의 예측성이 교차검증법에 의해 평가되었다. 관측값과 예측값사이의 상관계수는 봄철에 0.73, 여름철에 0.61, 가을철에 0.69, 겨울철에 0.75로 나타났다. 이러한 값은 유의수준 α=0.00에서 유의한 값이다. 수퍼 앙상블 방법의 범주형 예측성이 3개 범주로 나누어진 사례에 대해서 평가되었다. 3개 범주는 계절 누적강수량의 상위 33.3%를 과우해, 하위 33.3%를 소우해, 그 나머지를 평년해로 구분하였다. 범주형 예측의 적중률은 계절에 따라 42%에서 74%로 나타났다.

This study aimed to identify initial predictive factors of meningitis among the febrile neonates. Retrospective analysis was conducted on the clinical data of 147 cases who admitted the neonatal intensive care unit due to fever (temperature ≥ 38.0 ℃) from 2010 to 2014. Lumbar puncture was performed on every case before administration of antibiotics. 37 cases (25.2%) were diagnosed as meningitis, who included 7 cases of bacterial meningitis (4.8%). When we compared meningitis group with non-meningitis group (110 patients), moaning was statistically higher in meningitis group. In a comparison of bacterial meningitis with aseptic meningitis (30 patients), grunting, fever peak on admission day and C-reactive protein were significantly higher in bacterial meningitis group.

The intussusception recurs in approximately 10 percent of children after successful nonoperative reduction. The main objective was to determine the clinical and sonographic findings that could be used to predict recurrence of ileocolic intussusception in children that had been successfully reduced by enema. A retrospective search was performed on 66 children, at age of 3 months to 7 years, with successful enema reduction of intussusception during a 2.5-year period from January 2013 to July 2015. The clinical, laboratory records, and sonographic findings were compared between recurrence of intussusceptions group (ROI) and non-recurrence group (NROI). Statistical significances were found in age (median, 26.0 vs 18.5 months; P =0.022) and terminal ileal wall thickening (mean, 10.23 vs 7.8 mm; p=0.002); in contrast, there was no significance considering gender, irritability (p=0.074), currant jelly stool (p=1.0), or C-reactive protein (p=0.908). Recurrence is associated with age and the thickening of terminal ileal wall, but clinical or laboratory findings. Given the small number of cases, further studies should be conducted.

The result of a small electrostatic precipitator which is in order to decrease indoor air pollution for optimal efficiency was shown as follows. Although the closer distance between the discharge electrode and dust collecting electrode shows the better throughput efficiency by forming strong electrostatic Field, it does not have profound impact in case of optimal dust collecting area. G.P(gas passage) which is the distance from dust collecting electrode to dust collecting electrode is a crucial factor to decide dust collecting efficiency. The narrower distance of G.P shows the better throughput efficiency whereas it decreases when the distance is too narrow since sparks ensue by increasing the capacity of electrostatic charging system 5 mm regards as optimal efficiency in this experiment. Although the higher voltage shows the higher dust collecting efficiency overall, the experiment was not able to keep performing since the sparks which decrease dust collecting efficiency ensue over 40 kV. The efficient and safe voltage state is considered 3.6 kV in this experiment. The most crucial factor for dust collecting efficiency of an electrostatic precipitator which is in order to decrease indoor air pollution is applied voltage. In addition, optimal raw gas flow rate(2.4 m/sec) is more important factor than the excessive increase of dust collecting area.

The pressure drop through pulse air jet-type bag filter is one of the most important factors on the operating cost of bagfilter houses. In this study, the pilot-scale pulse air jet-type bag filter with about 6 ㎡ filtration area was designed and tested for investigating the effects of the four operating conditions on the total pressure drop, using the coke dust collected from a steel mill factory. When the face velocity is higher than 2 m/min, it is not applicable to on-spot due to the increase of power expenses resulting from a high-pressure drop, and thus, 1.5 m/min is considered to be reasonable. The regression analysis results show that the degree of effects of independent parameters is a order of face velocity > concentration > time > pressure. The results of SPSS answer tree analysis also reveal that the operation time affects the pressure drop greatly in case of 1 m/min of face velocity, while the inlet concentration affects the pressure drop in case of face velocity more than 1.5 m/min.

본 연구는 181명의 무용전공 여고생들을 표집 하여 그들의 섭식장애 위험요인(폭식증, 마르고 싶은 욕망, 신체불만족, 완벽주의, 성숙공포)에 영향을 주는 심리적 변인과 신체적 변인들의 예측력을 분석하는데 목적을 두었다. 그들의 신체적 자기개념과 사회적 체격불안 수준 그리고 섭식장애 위험도는 각각 주관적 심리진단 검사지를 사용하여 측정되었다. 신체적 변인들은 체중, 신장, 앉은 키, 피하지방, 뼈 넓이, 사지둘레 등을 포함하고 있으며, Heath-Carter 프로토콜을 이용하여 내배엽형(Endomorphy), 중배엽형(Mesomorphy), 외배엽형(Ectomorphy)을 구분하였다. 일련의 단계적 중다회귀분석 결과는 키가 크고 체중이 많이 나가며 사회적 체격불안 수준이 높은 무용전공 여학생들이 섭식장애를 일으킬 위험성이 있으며, 건강, 체지방, 외모에 부정적인 자기지각을 갖고 있는 여학생 역시 섭식장애에 걸릴 위험이 높다는 사실을 제공해 주고 있다. 특히, 사회적 체격불안은 폭식증의 가장 강력한 예측인자로 나타났다. 체지방은 마르고 싶은 욕망과 신체불만족 모두를 가장 강력하게 예측하고 있으며, 사회적 체격불안은 모든 섭식장애 위험요인들을 유의하게 예측하고 있었다. 이러한 결과들은 섭식장애 이론과 선행 연구를 토대로 논의되었다.

여러 가지 토양수분의 예측인자에 대한 해상도 문제를 고찰하였다. 다양한 인자에 대한 민감도는 통계적인 분석을 기반으로 논의되었다. 수치지형모형에서 세 가지 흐름 결정 알고리즘의 해상도에 대한 통계적인 분석이 수행되었다. 단방향 흐름알고리즘으로 계산한 상부사면 기여면적은 다른 두 알고리즘(다방향 알고리즘, DEMON)보다 더욱 민감한 것으로 나타났다. 습윤지수의 경우는 해상도나 계산과정의 변화에 상대적으로 민감도가 미소한 것으로 나타났다.