• 한국정보과학회논문지:시스템및이론
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• 제28권12호
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• pp.685-697
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• 2001

캐쉬 메모리는 명령어와 데이터의 참조시간을 줄이기 위하여 프로세서에 의해 참조되어질 가능성이 높은 주 메모리의 내용을 일시적으로 저장하는 용량이 작고 빠른 메모리이다. 본 논문에서는 슈퍼스칼라 프로세서에 적용될 수 있는 네 가지 명령어 캐쉬 구조에 대하여 캐쉬 미스와 분기예측 실패를 고려한 해석적 모델을 제안하고 성능을 분석하였다. 슈퍼스칼라 구조의 다양한 파라미터들을 정의하여 명령어 페치를 모델링하였으며, 해석적 모델의 타당성을 검증하기 위하여 시뮬레이션을 수행하여 얻은 결과와 비교하였다. 명령어 페치율에 있어서는 분기예측 실패로 인한 영향보다는 캐쉬 미스로 인한 성능저하가 더욱 큰 것으로 나타났다. 본 연구를 통하여 얻은 해석적 모델을 사용하면 시뮬레이션에서는 드러나지 않는 성능제약의 원인에 대한 명확한 규명이 가능하며, 캐쉬 성능에 있어서 캐쉬 미스와 분기예측 실패간의 관계에 대한 정확한 분석이 가능하다.

• 디지털융복합연구
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• 제14권9호
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• pp.359-367
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• 2016

본 연구는 치위생과 학생들이 임상실습시 각 분야별 수행빈도와 만족도 및 스트레스를 조사 분석하여 효율적인 임상실습 교육을 하기 위한 기초자료로 활용하고자 시행하였다. 대전 충청도에 소재하는 3년제 대학에서 임상실습을 실제 경험한 3학년 치위생과 학생 219명을 대상으로 2014년 2월 1일부터 3월 31일까지 설문조사하였다. 연구결과 임상실습기간에 대한 만족도는 종합병원 및 대학병원이 가장 높고 기술을 습득하는 정도는 치과의원이 높게 나타났다. 또한 임상실습지에 따른 진료 영역별 수행빈도와 만족도에는 유의한 차이가 나타났으며 임상실습지에 따른 진료 분야별 스트레스 정도는 '잇솔질 교육과 구강보건교육'에서는 치과의원이 가장 높았고 '환자상담'에서는 종합병원 및 대학병원이 가장 높게 나타났다. 따라서 효과적인 임상실습과 만족도를 높이기 위해서는 학생들의 임상실습에 관한 교육방향을 설정하고 표준화된 실습기준과 평가방법을 마련하여야 할 것으로 생각된다.

• 한국환경과학회지
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• 제19권6호
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• pp.747-753
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• 2010

It follows in quality and sewage exclusion method of the investigation objective sector and the Combined Sewer Overflows which is suitable in regional characteristics and the confluence area against the rainfall initially a flow and the medulla and measurement - it analyzes the initial rainfall outflow possibility control plan which is suitable in the domestic actual condition and it proposes the monitor ring plan for the long-term flow and pollution load data accumulation. From the research which it sees the Infiltration water/Influent water and CSOs investigation it passes by the phase of hazard chain and Namwon right time 4 it does not hold reverse under selecting, Measurement it used the hazard automatic flow joint seal Sigma 910 machine and in case 15 minute interval of the I/I, it measured a flow at case 5, 15 minute standing of the CSOs. The water quality investigation for the water leakage investigation of the I/I and the sewage from the point which is identical with flow measurement during on-the-spot inspection duration against 6 items which include the BOD sampling and an analysis, when the rainfall analysis for CSOs fundamental investigation analyzed against 18 items which include the BOD sampling. Consequently, for the optimum interpretation invasion water / inflow water of the this investigation area day average the lowest flow - water quality assessment veterinarian optimum interpretation hazard average per day - lowest flow - it averages a medulla evaluation law department one lowest flow evaluation technique and it selects, it presentation collectively from here it gets, position result with base flow analysis of invasion water / inflow water.

• 문화기술의 융합
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• 제6권1호
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• pp.191-199
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• 2020

본 연구에서는 결혼이주여성이 경험하는 정서경험에 대해 심층적으로 탐구하고자 하였다. 이를 위해 한국어를 할 수 있는 결혼이주여성 3인을 대상으로 심층면접을 진행하였다. 수집된 자료는 Giorgi의 현상학적 연구방법을 통해 분석하였다. 연구결과, '시부모의 따뜻한 관심으로 안정된 삶을 삼', '남편의 지지로 인해 가정에 충실함', '정서적으로 위로를 받아 보다 안정된 삶을 살게 됨', '하나님의 도우심을 경험함으로 기쁨', '정서적으로 회복되어 남편과 주변 사람들에게 잘함', '정서적 불안으로 인해 가정일이 손에 잡히지 않음', '힘들어 자신과 남편을 원망하고 갈등이 일어남', '분노가 일고 결혼한 것을 후회함'의 8개의 범주가 도출되었다. 결혼이주여성의 정서경험에 대한 연구결과를 통해 결혼이주여성들이 정서적으로 잘 적응하며 살 수 있도록 토대를 마련하였다고 볼 수 있다.

• 한국초등과학교육학회지:초등과학교육
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• 제24권4호
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• pp.351-359
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• 2005

The aims of this research are to analyze elementary preservice teacher's conception and causes of their misconceptions on biological reproduction and inheritance. In future, it would be also to provide useful data for the effective teaching-teaming method in the elementary school as well as opportunities to correct their misconceptions, which help elementary preservice teachers have the appropriate scientific conceptions. Thirty kinds of test questions were designed in science curriculum for elementary students and biology textbook for university students in order to develop reproduction and inheritance's concepts. The questionnaire was given to 166 junior students of university of education in a local city. All statistical analysis was performed using SPSS version 10.0 program. The major results are as follows: Among 30 test questions, 2 questions in plants, 5 questions in animals and 2 questions in gene were appeared as misconceptions over $50\%$. The major reason to hold the misconceptions was influenced by 'learning up to now' category. The selection reasons of response were significantly different between scientific conceptions and misconceptions in 10 questions by analysis of variance. The gender also showed statistically significant differences between scientific conception and misconception in 3 questions by $\chi^2$ test. The selection reasons according to gender were significantly different between male and female students in 5 questions. For the reasons in forming misconceptions, they may cause by stereotype, conscious priority, differences of experiences, interest or attention, lack of professional Knowledge, and so on. Therefore, it was concluded that this research may help elementary preservice teachers to reconsider their conception for reproduction and inheritance and to be successful in science instructions fur elementary students.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.53-62
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• 2022

Disposition Effect (DE) is one of the many investment biases, wherein the investors sell the profitable stocks rather quickly and they tend to hold on the loss making stocks. Various factors related to the DE are the character of investors applying risk management which is also influenced by the social media, Salient Shock (COVID-19), and in the specific case of Indonesia, the phenomenon of rumor stocks wherein the price can rise as much as up to 8500%. The study aims to provide empirical evidence regarding the DE with specific explanatory factors, namely investor behavior and rumors. Data was obtained through a questionnaire sent to 248 Indonesian Stock Exchange Investors (IDX) during the period October-November 2021 by using Ordinary Least Square (OLS) method. The results show: Generation Z, women, and investors with a low education has a greater DE, risk-takers tend to have lower DE, and professionals have negative DE. Implementation of risk management will reduce DE. Social Media and the COVID-19 situation positively affect DE. Especially on stock rumors, there is evidence that investors who own rumor stocks will have a low DE. The results indicate the need for: (i) risk management, especially for Z Generation, women and low education Investors, (ii) to provide positive information so that information on social media can be responded to positively.

• 지능정보연구
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• 제29권1호
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• pp.215-231
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• 2023

본 논문은 쑤저우의 핑장 역사문화 지구을 예로 들어 Python 기술을 적용한 Ctrip.com에서 1436개의 관광객 댓글 데이터를 수집하고, 네트워크 텍스트 분석 방법을 사용하여 빈도 단어, 의미 네트워크 및 감정을 분석하여 대운하 문화의 관광객 인식 특성과 수준을 평가하였다유산.연구 결과: 평강역사문화지구 관광객들의 인식에 자연인문경관, 역사문화축적, 강남운하 풍경이 잘 나타나 있다 ; 관광객들은 평강로 역사문화지구에 대해 비교적 긍정적인 감정을 가지고 있지만, 지구의 개조와 개선은 여전히 큰 여지가 있다.마지막으로 보호우선, 문화통합, 혁신적 활용 등의 측면에서 대운하 문화유산에 대한 관광객의 인식을 높이기 위한 대책을 제시했다.

• 대한방사선기술학회지:방사선기술과학
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• 제46권2호
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• pp.131-139
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• 2023

High-dose I-131 used for the treatment of thyroid cancer causes localized exposure among radiology technologists handling it. There is a delay between the calibration date and when the dose of I-131 is administered to a patient. Therefore, it is necessary to directly measure the radioactivity of the administered dose using a dose calibrator. In this study, we attempted to apply machine learning modeling to measured external dose rates from shielded I-131 in order to predict their radioactivity. External dose rates were measured at 1 m, 0.3 m, and 0.1 m distances from a shielded container with the I-131, with a total of 868 sets of measurements taken. For the modeling process, we utilized the hold-out method to partition the data with a 7:3 ratio (609 for the training set:259 for the test set). For the machine learning algorithms, we chose linear regression, decision tree, random forest and XGBoost. To evaluate the models, we calculated root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE) to evaluate accuracy and R² to evaluate explanatory power. Evaluation results are as follows. Linear regression (RMSE 268.15, MSE 71901.87, MAE 231.68, R² 0.92), decision tree (RMSE 108.89, MSE 11856.92, MAE 19.24, R² 0.99), random forest (RMSE 8.89, MSE 79.10, MAE 6.55, R² 0.99), XGBoost (RMSE 10.21, MSE 104.22, MAE 7.68, R² 0.99). The random forest model achieved the highest predictive ability. Improving the model's performance in the future is expected to contribute to lowering exposure among radiology technologists.

• 아태비즈니스연구
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• 제14권1호
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• pp.73-91
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• 2023

Purpose - The purpose of this study is to re-examine the disclosure effect of stock splits and long-term performance after stock splits using stock split data over the past 10 years, and infer the motivation (signal or opportunism) of stock splits. In addition, we focus on exploring the determinants of the short- and long-term market response to stock splits. Design/methodology/approach - We measure the short-term market response to a stock split and the long-term stock performance after the stock split announcement using the event study method. We analyze whether there is a difference in the long-term and short-term market response to a stock split according to various company characteristics through univariate analysis and regression analysis. Findings - In the case of the entire sample, a statistically significant positive excess return is observed on the stock split announcement date, and the excess return during the 24-month holding period after the stock split do not show a difference from zero. In particular, the difference between short-term and long-term returns on stock splits is larger in companies with a large stock split ratio, small companies, large growth potential, and companies with a combination of financial events after a stock split. Research implications or Originality - The results of this study suggest that at least the signal hypothesis for a stock split does not hold in the Korean stock market. On the other hand, it suggests that there is a possibility that a stock split can be abused by the manager's opportunistic motive, and that this opportunism can be discriminated depending on the size of the stock split, corporate characteristics, and financing plan.

• Journal of Microbiology and Biotechnology
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• 제34권4호
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• pp.958-968
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• 2024

In recent years, there has been a growing recognition of the important role that long non-coding RNAs (lncRNAs) play in the immunological process of hepatocellular carcinoma (LIHC). An increasing number of studies have shown that certain lncRNAs hold great potential as viable options for diagnosis and treatment in clinical practice. The primary objective of our investigation was to devise an immune lncRNA profile to explore the significance of immune-associated lncRNAs in the accurate diagnosis and prognosis of LIHC. Gene expression profiles of LIHC samples obtained from TCGA database were screened for immune-related genes. The optimal immune-related lncRNA signature was built via correlational analysis, univariate and multivariate Cox analysis. Then, the Kaplan-Meier plot, ROC curve, clinical analysis, gene set enrichment analysis, and principal component analysis were performed to evaluate the capability of the immune lncRNA signature as a prognostic indicator. Six long non-coding RNAs were identified via correlation analysis and Cox regression analysis considering their interactions with immune genes. Subsequently, tumor samples were categorized into two distinct risk groups based on different clinical outcomes. Stratification analysis indicated that the prognostic ability of this signature acted as an independent factor. The Kaplan-Meier method was employed to conduct survival analysis, results showed a significant difference between the two risk groups. The predictive performance of this signature was validated by principal component analysis (PCA). Additionally, data obtained from gene set enrichment analysis (GSEA) revealed several potential biological processes in which these biomarkers may be involved. To summarize, this study demonstrated that this six-lncRNA signature could be identified as a potential factor that can independently predict the prognosis of LIHC patients.