• Nuclear Engineering and Technology
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• 제52권11호
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• pp.2442-2451
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• 2020

The safety level of Sodium Fast Reactors is directly related with the sodium void reactivity. A low-void effect design has been proposed within the Horizon2020 ESFR-SMART project thanks to the introduction of a sodium plenum above the active core. In order to assess the impact of this core conception on transient analysis, a map with the spatial distribution of sodium void worth can be computed and fed into a point-kinetics-based transient code. Due to the spatial correlations between neighboring zones, the global effect of voiding two different axial or radial regions is not necessarily the sum of both individual contributions. Neglecting those correlations in the void worth map and consequently in the transient analysis may lead to an unrealistic prediction of the transient sequences. In this work, a method based on sensitivity analysis and similarity assessment is proposed for predicting those correlations. The method proved to be able to establish correlations between axial slices of a sub-assembly and was checked against realistic sodium void propagation patterns.

• Journal of Pharmaceutical Investigation
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• 제26권1호
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• pp.13-22
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• 1996

Poly(D,L-lactic acid) (PLA) microspheres containing alprazolam(APZ) were prepared by a solvent-emulsion evaporation method and their release patterns were investigated in vitro. Various batches of microspheres with different size and drug content were obtained by changing the ratio of APZ to PLA, PLA concentration in the dispersed phase and stirring rate. Rod-like APZ crystals on microsphere surface, which were released rapidly and could act as a loading dose, were observed with increasing drug content. The release rate was increased with increase in drug contents and decrease in the molecular weight of PLA. The release rate of APZ for long-acting injectable delivery system in vitro, which would aid in predicting in vitro release profile, could be controlled by properly optimizing various factors affecting characteristics of microspheres.

• 한국해양공학회지
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• 제20권2호
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• pp.29-35
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• 2006

The flow patterns around multi-circular cylinders are studies, in order to obtain a global view on the structure of wave control and circulation of sea flow in coastal region. The flow force depends upon the vortex shedding exerted on the structure, especially how the vortex shedding affects the erosion when the structure sets on the sand bottom. Therefore, it is necessary that the flow pattern be hocked. In order to simulate the flow around multi-circular cylinders, the CFX and FLUENT of the computational fluid dynamics (CFD) program were used and compared with the experimental results of the flow visualization installation. The phenomena of flow around the multi-cylinders will be applied to fundamental data for predicting the flow force acting against the structure, erosion and sedimentation around cylinders in arrangement.

• 전기학회논문지
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• 제66권6호
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• pp.942-948
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• 2017

Ray-tracing based method for computing projection image calculates the exact amounts of the intersection between voxels and a ray. Among several different implementations of the ray tracing based methods, Siddon's method is the earliest one. Later faster implementation such as Jacobs's method, Zhao's method, were investigated. To our knowledge, Zhao's method is the fastest one among these. We improve the speed of the Zhao's method by predicting the number of the same intersection length between voxel and a ray. In our experiment, the proposed method showed significantly faster computation speed than Zhao's method.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.760-761
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• 2019

Smart manufacturing is a process of integrating computer-related technologies in production and by doing so, achieving more efficient production management. The recent development of supercomputers has led to the broad utilization of artificial intelligence (AI) and machine learning techniques useful in predicting specific patterns. Despite the usefulness of AI and machine learning techniques in smart manufacturing processes, there are many fundamental issues with the direct deployment of these technologies related to data management. In this paper, we focus on solving the outlier detection issue in smart manufacturing applications. More specifically, we apply a state-of-the-art outlier detection technique, called Elliptic Envelope, to detect anomalies in simulation-based collected data.

• ETRI Journal
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• 제43권2호
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• pp.272-287
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• 2021

This article presents a multi-dimensional spatial pattern analysis of crime events in San Francisco. Our analysis includes the impact of spatial resolution on hotspot identification, temporal effects in crime spatial patterns, and relationships between various crime categories. In this work, crime prediction is viewed as a classification problem. When predictions for a particular category are made, a binary classification-based model is framed, and when all categories are considered for analysis, a multiclass model is formulated. The proposed crime-prediction model (HotBlock) utilizes spatiotemporal analysis for predicting crime in a fixed spatial region over a period of time. It is robust under variation of model parameters. HotBlock's results are compared with baseline real-world crime datasets. It is found that the proposed model outperforms the standard DeepCrime model in most cases.

• Journal of Information Processing Systems
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• 제15권5호
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• pp.1201-1210
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• 2019

Stock price is characterized as being mutable, non-linear and stochastic. These key characteristics are known to have a direct influence on the stock markets globally. Given that the stock price data often contain both linear and non-linear patterns, no single model can be adequate in modelling and predicting time series data. The autoregressive integrated moving average (ARIMA) model cannot deal with non-linear relationships, however, it provides an accurate and effective way to process autocorrelation and non-stationary data in time series forecasting. On the other hand, the neural network provides an effective prediction of non-linear sequences. As a result, in this study, we used a hybrid ARIMA and neural network model to forecast the monthly closing price of the Shanghai composite index and Shenzhen component index.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.135-135
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• 2021

In water resources management, rainfall prediction with high accuracy is still one of controversial issues particularly in countries facing heavy rainfall during wet seasons in the monsoon climate. The aim of this study is to develop an artificial neural network (ANN) for predicting future six months of rainfall data (from April to September 2020) from daily meteorological data (from 1971 to 2019) such as rainfall, temperature, wind speed, and humidity at Seoul, Korea. After normalizing these data, they were trained by using a multilayer perceptron (MLP) as a class of the feedforward ANN with 15,000 neurons. The results show that the proposed method can analyze the relation between meteorological datasets properly and predict rainfall data for future six months in 2020, with an overall accuracy over almost 70% and a root mean square error of 0.0098. This study demonstrates the possibility and potential of MLP's applications to predict future daily rainfall patterns, essential for managing flood risks and protecting water resources.

• 대한간호학회지
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• 제29권3호
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• pp.625-638
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• 1999

The purpose of this study was to identify the relationships among health promoting behaviors, Health Locus of Control(HLOC), and response patterns to HLOC in Korean elderly. The sample was composed of 162 healthy elderly ranging in age from sixties to eighties. The instruments for this study were modified Health Promoting Lifestyle Profile (45 items, 4 scales), and Multidimensional Health Locus of Control (18 items). For the in data analysis, SPSS PC$^{＋}$ program was uilized for descriptive statistics, Pearson correlation, t-test, ANOVA and Stepwise multiple regression. The results of the study are as follows : 1. The total mean score for the HPLP was 2.411 (range 1-4), and the mean scores on the subscales were 3.324 for nutition, 2.709 for interpersonal support, 2.495 for exercise,2.225 for health responsibility, 2.205 for self actualization, 2.026 for stress management. 2. The mean scores for the HLOC in the elderly were HLOC-I : 23.531, HLOC-P : 21.914, HLOC-C : 18.667. 3. The response patterns of the HLOC identified eight types, pure internal, pure powerful others, pure chance, double external, believers in control, yea sayer, nay sayer and complex control. The “believers in control” was the largest group (22.8%), and “yea sayer” was the next largest group(17.9%). The “nay sayer”(5%) was the smallest group. 4. Demographic variables, such as education, economic status, religion and the perception of the health status showed strong connections to health promoting behaviors. 5. The HLOC-I and health promoting behavior were correlated positively(r＝.165, P＝.017), but the HLOC-P, the HLOC-C and the health promoting behavior were not correlated at the level of statistical significance. 6. There was not significant difference in health promoting behavior depending on the response patterns of the HLOC(F=1.171, P=.108). But, there were significant differences in two subscales of health promoting behavior exercise (F=3.279, P=.002), and stress management (F=3.165, P＝.003). 7. Education, the perception of the health and economic status explained 21.0% of the variance for health promoting behaviors. These results suggest that several demographic factors are important factors in predicting the level of health promoting behaviors in elderly. So to enhance the health promoting behavior, nurses should use the different nursing strategies depending on the demographic characters of the elderly.

• 대한원격탐사학회지
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• 제38권6_3호
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• pp.1805-1815
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• 2022

2022년에 경북 울진·강원 삼척 등 산불이 발생하였으며, 이는 국내 최장 산불 기록이었지만 인명피해가 없었다. 산불은 지역주민이 직접 피해에 노출되어 대피를 해야 하는 재난으로, 산불 발생 시 대피를 이동 수요를 예측하는 것은 재난관리의 효율성을 위해 반드시 필요하다. 본 연구는 경북 울진·강원 삼척 등 산불 발생에 따라 지역주민의 이동을 분석하여 이동 패턴을 파악하고자 하는 탐색적 연구이다. 이를 위하여 SKT 유동인구 데이터를 활용하였으며, 경북 울진군 및 강원 삼척시의 인구 이동 패턴을 분석하였다. 주요한 연구 결과로는 첫째, 경북 울진군과 강원 삼척시 모두 거주인구 및 방문인구가 감소하는 인구 이동 패턴을 보였으나, 직장인구의 인구이동은 평상시와 유사한 것으로 나타났다. 둘째, 산불의 발화지인 경북 울진군 북면의 거주인구들은 산불을 피해 주변 지역으로 이동하는 것으로 나타났다. 셋째, 이동한 지역은 산불에서 안전하다고 판단되는 지역이며, 이때 긴급재난문자와의 관련성이 있는 것으로 나타났다. 본 연구는 산불이 발생한 지역의 인구가 산불에 대피하기 위해 이동하는 패턴을 양적 데이터인 유동인구 데이터를 통해 확인하였다는 의의를 지닌다. 또한 산불 발생 시 피해를 최소화하기 위하여 주민들에게 긴급재난문자를 통한 대피소 안내가 중요함을 시사한다.