• 대한화학회지
• /
• 제66권2호
• /
• pp.92-95
• /
• 2022

Failure Renal is the function of the kidneys to remove waste products and keep them on the periphery. and minerals for the body. Chronic renal failure is a syndrome characterized by a slow, irreversible deterioration of renal function due to the slow destruction of renal parenchyma. Calcium is one of the important minerals that the body contains in the blood and important tissues, and it has an important role in vital processes such as muscle contraction, nerve impulse conduction, the efficiency of heart muscle work, and blood clotting processes. The aim of the study is to study and compare calcium levels in men and women. It includes studying abnormal levels of calcium that cause many diseases, including chronic renal failure, and studying changes associated with renal failure. The method of this study was conducted on patients with chronic renal failure at Murjan Teaching Hospital in Babylon city during the period. The study included a sample of 70 patients (40 males, 30 females) with chronic renal failure, their ages ranged from 30-65, and 60 (30 males, 30 females) healthy without the disease of the same age. The result was a significant decrease in the number of red and white blood cells, hemoglobin concentration, hematocrit and platelets in patients with chronic renal failure, The result has been showed significant level in enzymes activity for transfer of amine group (alanine amino transferase, aspartate amino transferas) and phosphatase alkaline and also concentration of total bilirubin in patient with compare with healthy, Significantly increases, were found in the concentration of urea, uric acid and creatinine, as well as the concentration of calcium and phosphorous ions in the blood serum of patients compared to healthy controls.

• 한국정보통신학회논문지
• /
• 제26권11호
• /
• pp.1608-1614
• /
• 2022

최근 학생 수 감소로 인한 대학 간 경쟁이 심화되면서 성과부진학생을 조기에 예측하고, 중도이탈을 예방하기 위해 다양한 노력을 기울이는 것은 대학의 필수 업무로 인식되고 있다. 이를 위해서는 학생의 성과를 정밀하게 예측하는 우수한 성능의 모델이 필수적이다. 본 논문은 성과부진학생을 식별하기 위한 분류 예측 모델에서 이상 데이터를 제거하거나 증폭을 통해 예측 성능을 향상시키는 방법에 대해 제안한다. 기존 이상데이터 처리방법은 주로 데이터를 삭제하거나 무시하는데 집중되었지만 이 논문에서는 잡음과 변화지표를 구분하는 기준을 제시하고, 데이터를 삭제하거나 증폭함으로써 예측 모델의 성능을 높이는데 기여한다. 제안 방법의 검증을 위해 공개된 학습 성과 데이터를 활용한 실험에서 기존 방법에 비해 제안방법이 분류 성능을 향상시킬 수 있는 다수의 사례를 발견할 수 있었다.

• 반도체디스플레이기술학회지
• /
• 제20권4호
• /
• pp.161-166
• /
• 2021

Errors in the semiconductor process are generated by a change in the state of the equipment, and errors usually arise when the state of the equipment changes or when parts that make up the equipment have flaws. In this investigation, we anticipated that aging of the mass flow controller in the plasma enhanced chemical vapor deposition SiO2 thin film deposition method caused a minute flow rate shift. In seven cases, fourier transformation infrared film quality analysis of the deposited thin film was used to characterize normal and pathological processes. The plasma condition was monitored using optical emission spectrometry data as the flow rate changed during the procedure. Preprocessing was used to apply the collected OES data to the artificial immune system algorithm, which was then used to process diagnosis. Through comparisons between datasets, the learning algorithm compared classification accuracy and improved the method. It has been confirmed that data characterized as a normal process and abnormal processes with differing flow rates may be discriminated by themselves using the artificial immune system data mining method.

• 대한본초학회지
• /
• 제28권2호
• /
• pp.61-65
• /
• 2013

Objectives : Samchulgeonbi-tang (shenzhujianpi-tang) has been prescribed as one of traditional herbal medicine for treatment of stomach diseases since ancient time in Korea. Samchulgeonbi-tang extract was fermented by Lactobacillus spp. for improving the effect. However, the toxicity and safety of fermented Samchulgeonbi-tang (FS) extract were not confirmed. Therefore, this study was performed to evaluate the acute toxicity and safety of FS extract. Methods : To evaluate the acute toxicity and safety of FS extract, several doses of FS extract, 0, 500, 1000 and 2000 mg/kg, were orally administered to 20 male and 20 female ICR mice, respectively. After treatment with FS extract, we observed mortality, general toxicity, behavior and change of body weight for the 14 days. After 14 days of oral administration, all mice were sacrificed and hematological parameters were analyzed from blood serum. Results : In present study, the toxic signs such as mortality or abnormal behaviors by FS extract were not observed. There are no significant differences between FS-treated group and control group in body weight, organ weights, and hematological parameters. Conclusions : The remarkable adverse effects by FS extract were not observed in ICR mice. Also, any death was not occurred at all treated FS doses, 500, 1000 and 2000 mg/kg. Therefore, the approximate lethal dose (ALD) of FS extract may be more than 2000 mg/kg.

• 한국동물위생학회지
• /
• 제46권3호
• /
• pp.227-234
• /
• 2023

It has been addressed that heat stress due to high atmospheric temperature during summer in Korea induces impaired release of reproductive hormones, followed by occurring abnormal ovarian cyclicity, lower pregnancy ratio, and reduced litter size. Therefore, the present study attempted to compare seasonal change (spring versus summer) of the ovarian aromatase expression, an enzyme for converting testosterone into estrogen. While serum estrogen level in summer group was significantly lower than that of spring group, testosterone was not different between groups. Consistent with estrogen level, the ovarian aromatase expression in summer at follicular phase was significantly lower than the counterpart of spring. The ovarian aromatase expression was positively related with serum estrogen level significantly (r=0.689; P=0.008) and strongly negative correlation was identified (r=-0.533; P=0.078) with atmospheric temperature. The ovarian aromatase expression was not detected in immature ovarian follicles but specifically localized in the granulosa cell layers in both seasons. However, the aromatase intensity in the granulosa cell layers was stronger in spring than summer. Because testosterone level was not different between groups, it could be concluded that the lower level of estrogen during summer might be derived by not lack of substrate but lower expression of ovarian aromatase by heat stress.

• 스마트미디어저널
• /
• 제11권9호
• /
• pp.56-63
• /
• 2022

최근 기후변화에 의한 수온상승, 과다한 영양염류의 유입 및 하천환경의 변화로 인한 주요하천 및 호소에 대한 조류발생 빈도 및 범위가 증가하고 있다. 이상조류에는 녹조와 적조가 있다. 녹조현상은 물속의 클로로필(Chl-a) 등의 남조류가 과다 성장하여 물의 색이 짙은 녹색으로 변하는 현상으로, 미량의 냄새물질과 독소를 생성하여 수질악화와 식수안전에 대한 우려가 급증하고 있다. 본 연구는 생활주변 환경의 생태하천과 호소에서 측정된 수질정보를 원격지에서 1:1 실시간모니터링 및 제어하기 위하여 디지털트윈의 3D 가상세계를 구축하고, 사물인터넷(IOT) 센서기반의 수질정보 센서측정기를 개발하며, AI의 머신러닝 기반 수집데이터 분석을 토대로 녹조 등 수질오염의 발생원인과 확산패턴을 예측하여 조류경보와 수질예보를 할 수 있는 스마트 수질환경 서비스 플랫폼 구축을 제안하고자 한다.

• 한국방재안전학회논문집
• /
• 제15권4호
• /
• pp.79-86
• /
• 2022

국립공원공단에서는 낙석위험지역에 낙석방지시설(낙석방지망, 낙석방지울타리, 피암터널 등)을 설치하거나 우회탐방로를 개설하는 등 안전 환경 조성을 위한 노력을 하고 있다. 그러나 기후변화에 따른 집중호우나 겨울철 이상 고온, 지반의 노령화로 인한 풍화와 절리현상으로 매년 낙석 발생이 증가하는 추세이며, 기존 낙석위험지역 관리방안에 대한 개선의 필요성이 대두되었다. 본 연구에서는 우리나라 국립공원 중 치악산 국립공원 황골지구를 대상으로 하여 낙석 발생의 위험이 있는 시범지역을 선정한 후 Rockfall 프로그램을 이용한 낙석 분석을 수행하였으며, 분석 결과에 따라 시범지역에 계측시스템과 결합한 대책공법을 적용하여 모니터링을 실시하였다. 이를 통해 낙석의 지속적 관리와 모니터링을 위한 낙석 관리방안을 제시하였다.

• 산업경영시스템학회지
• /
• 제46권1호
• /
• pp.32-41
• /
• 2023

Recently, many studies are being conducted to extract emotion from text and verify its information power in the field of finance, along with the recent development of big data analysis technology. A number of prior studies use pre-defined sentiment dictionaries or machine learning methods to extract sentiment from the financial documents. However, both methods have the disadvantage of being labor-intensive and subjective because it requires a manual sentiment learning process. In this study, we developed a financial sentiment dictionary that automatically extracts sentiment from the body text of analyst reports by using modified Bayes rule and verified the performance of the model through a binary classification model which predicts actual stock price movements. As a result of the prediction, it was found that the proposed financial dictionary from this research has about 4% better predictive power for actual stock price movements than the representative Loughran and McDonald's (2011) financial dictionary. The sentiment extraction method proposed in this study enables efficient and objective judgment because it automatically learns the sentiment of words using both the change in target price and the cumulative abnormal returns. In addition, the dictionary can be easily updated by re-calculating conditional probabilities. The results of this study are expected to be readily expandable and applicable not only to analyst reports, but also to financial field texts such as performance reports, IR reports, press articles, and social media.

• 한국농림기상학회지
• /
• 제25권2호
• /
• pp.99-107
• /
• 2023

농업은 기상에 매우 민감한 산업으로, 따라서 농업분야의 기상을 이용한 연구는 더욱 중요해지고 있다. 연구자들은 기상청과 농촌진흥청에서 제공하는 기상정보서비스 웹사이트에 접속해 기상관측자료를 다운로드할 수 있다. 그러나 대량의 기상자료를 받아야 할 때는 여러 번의 조회작업이 필요한 단점이 있다. 본 데이터 논문은 기상청과 농촌진흥청에서 수집한 자료를 원격 저장소 서비스인 깃허브에 업로드하고 소프트웨어 프로그램인 파이썬을 이용해 기상자료에 쉽게 접근할 수 있는 패키지를 제작했다. 이를 통해 추가적인 인증 절차 없이 누구나 자료를 가져갈 수 있는 방식을 채택하여 농업 관계자들의 기상자료에 대한 접근성 및 활용성을 높이는 방법을 제안한다. 자료와 패키지는 분산 버전 관리 시스템인 깃에 업로드하여 수정 및 관리가 용이하게 하였다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2022년도 학술발표회
• /
• pp.208-208
• /
• 2022

Recently, the frequency of abnormal weather due to complex factors such as global warming is increasing frequently. From the past rainfall patterns, it is evident that climate change is causing irregular rainfall patterns. This phenomenon causes difficulty in predicting rainfall and makes it difficult to prevent and cope with natural disasters, casuing human and property damages. Therefore, accurate rainfall estimation and rainfall occurrence time prediction could be one of the ways to prevent and mitigate damage caused by flood and drought disasters. However, rainfall prediction has a lot of uncertainty, so it is necessary to understand and reduce this uncertainty. In addition, when accurate rainfall prediction is applied to the rainfall-runoff model, the accuracy of the runoff prediction can be improved. In this regard, this study aims to increase the reliability of rainfall prediction by analyzing the uncertainty of the Korean rainfall ensemble prediction data and the outflow analysis model using the Limited Area ENsemble (LENS) and the Grid based Rainfall-runoff Model (GRM) models. First, the possibility of improving rainfall prediction ability is reviewed using the QM (Quantile Mapping) technique among the bias correction techniques. Then, the GRM parameter calibration was performed twice, and the likelihood-parameter applicability evaluation and uncertainty analysis were performed using R², NSE, PBIAS, and Log-normal. The rainfall prediction data were applied to the rainfall-runoff model and evaluated before and after calibration. It is expected that more reliable flood prediction will be possible by reducing uncertainty in rainfall ensemble data when applying to the runoff model in selecting behavioral models for user uncertainty analysis. Also, it can be used as a basis of flood prediction research by integrating other parameters such as geological characteristics and rainfall events.