• 한국산학기술학회논문지
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• 제12권12호
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• pp.5715-5721
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• 2011

본 연구에서는 뇌졸중 환자의 일상생활동작 수행도에 영향을 미치는 인지요인을 분석하여, 일상생활동작 향상에 기여하는 인지요소를 파악하고 이를 치료에 적용하고자 함에 있다. 본 연구는 뇌졸중으로 진단을 받고 A병원 재활의학과에 입원하여 포괄적인 재활치료를 받고 있는 환자 21명을 대상으로 전산화 신경인지기능검사(SCNT), MBI를 평가하였다. 뇌졸중 환자의 일상생활동작에 영향을 주는 인지요인에 대한 효과성을 평가하기 위해 일상생활동작 값을 종속변수로 하고 10개의 인지요인을 모형에 포함하여 다중회귀분석을 실시하였다. 연구 결과 뇌졸중 환자의 일상생활동작 수행도에 영향을 미치는 인지요인으로는 주의력 배분과 운동조절, 선택적 주의력이 가장 영향을 주는 것으로 나타났다. 또한 뇌졸중 환자의 일상생활동작 수행도에 대하여 인지요인은 69.8%의 설명력을 나타내었다. 따라서 뇌졸중 환자의 재활치료 시 주의력 배분과 운동조절, 선택적 집중력을 우선적으로 고려하여 중점적인 훈련을 한다면 일상생활동작의 수행도 향상에 효율적일 것이다.

• 한국수산과학회지
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• 제3권1호
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• pp.1-6
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• 1970

1969년 3월부터 10월까지의 사이에 먹이 생물인 해산의 Phaeodactylum tricornutum, Platymonas sp. 및 Chlorella sp. 등의 배양 실험을 한 결과는 다음과 같다. 1. 유도기는 Phaeodactylum tricornutum이 가장 잘고 다음이 Platymonas sp., Chlorella sp.의 순서였다. 2. 정치 배양은 유동 배양에 비해 대체로 유도기가 길며 급속 성장기가 짧고 일간 증가량이 현저히 작다. 3. 발육 속도 정수는 Phaeodactylum tricornutum 이 $0.302{\pm}0.028$로서 가장 크고, Chlorella sp.가 $0.226{\pm}0.013$, Platymonas sp..가 $0.151{\pm}0.008$의 순서였다. 4, 3종에 있어 가장 큰 일간 증가량과 일령은 각각 다음 표에서 보는 바와 같다. Phaeodactylum tricornutum 최대 일간 증가량 : 47.5, 일령 : 10 Platymonas sp. 최대 일간 증가량 : 5.6, 일령 : 14, Chlorella sp. 최대 일간 증가량 : 21.1, 일령 : 14 5. 세포수에 대한 침전 세포량은 직선으로서 표시되고, 그 크기 순서는 Phaeodactylum tricornutum, Platymonas sp. 및 Chlorella sp.이며 세포 크기의 순서와 일치한다. 6. 먹이로 사용하는데 알맞는 일령은 Phaeodactylum tricornutum 에서는 12일, Platymonas sp. Chlorella sp.는 각각 16일 내외이다.

• 기록학연구
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• 제68호
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• pp.151-204
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• 2021

잡지는 동시대 보통사람들의 일상을 담고 있기도 하다. 이러한 특성은 일상 아카이브의 가능성으로 작용한다. 본 연구는 대전에서 발행된 잡지 『농민생활』의 내용과 기록가치를 분석하여 일상 아카이브로 구축하는 데 있다. 이를 위해, 1954년부터 1967년까지 14년 간 발행된 『농민생활』에 수록된 기사를 대상으로 기사의 내용을 분류하고 분석하였다. 『농민생활』의 분석을 통해 나온 결과는 다음 다섯 가지로 정리할 수 있다. 첫째, 대전지역의 민간기록물의 가치를 알 수 있었다. 둘째, 사회 각 분야에서 활동하던 인물들의 인명 정보를 수집할 수 있었다. 정치인, 농업학자, 교수, 의사, 만화가 등 전문직업별로 분류하였다. 셋째, 농업분야조직에 관한 정보를 수집할 수 있었다. 정부조직, 민관조직, 미국원조 및 4H조직이 있었던 것으로 파악되었다. 넷째, 기독교잡지, 문학, 예술분야에서 오기 또는 누락되어 있거나 추정에 의존하는 기록들 중에서 수정할 수 있는 내용을 찾아 제시하였다. 다섯째, 농촌사회와 농민들의 일상생활을 시리즈로 분류하여 일상 아카이브로 구성할 수 있었다. 본 연구는 1950, 60년대 농촌사회와 농민의 일상세계에 접근하기 위한 기초자료로서 제시하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제21권8호
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• pp.1088-1096
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• 2008

Data from milk performance testing were used to analyze genetic and environmental trends for purebred Tsigai, Improved Valachian and Lacaune sheep. 103,715 (Tsigai), 212,962 (Improved Valachian) and 2,196 (Lacaune) test-day records gathered by the State Breeding Institute of the Slovak Republic entered the analyses. The respective pedigree data comprised 23,724 (Tsigai), 51,401 (Improved Valachian) and 438 (Lacaune) records. The multiple-trait, mixed model methodology was used to predict the breeding values for daily milk yield, fat and protein content and to estimate the fixed and remaining random effects assumed to affect the above mentioned traits, separately for each breed. The breeding values for daily milk yield were adjusted for 150-day standardized lactation length by multiplying with the constant 150, as the breeding goal of the selection scheme in Slovakian sheep is to increase 150-day milk production and constant heritability throughout the whole lactation is assumed. The genetic trends were expressed as changes in averages of breeding values across birth years of animals. For Tsigai and Lacaune breeds, cumulative genetic changes over the analyzed period were 3.8 and 5.1 kg for 150-day milk, 0 and -0.16% for fat content and 0 and -0.12% for protein content. For Improved Valachian breed, either a low (1.6 kg for 150-day milk yield) or zero (fat and protein content) cumulative genetic change was found. The environmental trends were calculated as averages of solutions for flock-test day effect across years and months in which measurements were taken. A distinctive cyclical pattern which reflected short-time variation in milk production traits was found. Possible explanations for this phenomenon are given and discussed.

• 센서학회지
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• 제26권1호
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• pp.7-14
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• 2017

A threshold-based fall recognition algorithm using a tri-axial accelerometer and a bi-axial gyroscope mounted on the skin above the upper sternum was proposed to recognize fall-like activities of daily living (ADL) events. The output signals from the tri-axial accelerometer and bi-axial gyroscope were obtained during eight falls and eleven ADL action sequences. The thresholds of signal vector magnitude (SVM_Acc), angular velocity (${\omega}_{res}$), and angular variation (${\theta}_{res}$) were calculated using MATLAB. When the measured values of SVM_Acc, ${\omega}_{res}$, and ${\theta}_{res}$ were compared to the threshold values (TH1, TH2, and TH3), fall-like ADL events could be distinguished from a fall. When SVM_Acc was larger than 2.5 g (TH1), ${\omega}_{res}$ was larger than 1.75 rad/s (TH2), and ${\theta}_{res}$ was larger than 0.385 rad (TH3), eight falls and eleven ADL action sequences were recognized as falls. When at least one of these three conditions was not satisfied, the action sequences were recognized as ADL. Fall-like ADL events such as jogging and jumping up (or down) have posed a problem in distinguishing ADL events from an actual fall. When the measured values of SVM_Acc, ${\omega}_{res}$, and ${\theta}_{res}$ were applied to the sequential processing algorithm proposed in this study, the sensitivity was determined to be 100% for the eight fall action sequences and the specificity was determined to be 100% for the eleven ADL action sequences.

• 한국임상수의학회지
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• 제15권2호
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• pp.331-338
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• 1998

This study evaluated the effect of acupuncture in dogs with experimentally induced spleens pancreas and urinary bladder disease. For the spleen studys sixteen dogs were divided into four groups(each of 4 in dogs): laserfonctnreg electroacupunctnre, acupuncture and control group. Spleen disease was brought by experimentally induced spleen traumata and then treatment was done once daisy for 4 days. The acupoints used were Pi-shu and Ge-shu. The effect of acupuncture was evaluated by clinical grmptomi hematological findings and blood chemical values. Acupuncture and Iaserpunctore group revealed rotatively fast recovery compared with other sloops. For the pancreas study, sixteen dogs were divided into four groups(each of 4 in dogs): laserpuncture, electroacupuncture, acupuncture and control group. Pancreas disease was brought by experimentally induced pancreas trauma, and then treatment was done once daily for 4 days The acupoints used were Wei-shu and Pi-shu. The effect of acupuncture was evaluate6 by clinical symptom, hematological findings and blood chemical values. Laserpuncture revealed relatively frost recovery and acupuncture group revealed secondly fast recovery after treatment. For the urinary bladder study, sixteen dogs were divided into four groups(each of 4 in dogs): laserpuncture, electroacupuncture,acupuncture and control group. Spleen disease was brought by experimentally induced urinary stoner and then treatment was done once daily for 4 days. The acupuncture used were Pang Guang-shu and Shen-shu. The effect of acupuncture was evaluated by clinical symptom, hematological findings, and blood chemical values. Laserpuncture and acupuncoure group revealed relatively fast recovery compared with other groups.

• 천문학회보
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• 제46권1호
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• pp.42.1-42.1
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• 2021

In this study, we present a visual explanation of a deep learning solar flare forecast model and its relationship to physical parameters of solar active regions (ARs). For this, we use full-disk magnetograms at 00:00 UT from the Solar and Heliospheric Observatory/Michelson Doppler Imager and the Solar Dynamics Observatory/Helioseismic and Magnetic Imager, physical parameters from the Space-weather HMI Active Region Patch (SHARP), and Geostationary Operational Environmental Satellite X-ray flare data. Our deep learning flare forecast model based on the Convolutional Neural Network (CNN) predicts "Yes" or "No" for the daily occurrence of C-, M-, and X-class flares. We interpret the model using two CNN attribution methods (guided backpropagation and Gradient-weighted Class Activation Mapping [Grad-CAM]) that provide quantitative information on explaining the model. We find that our deep learning flare forecasting model is intimately related to AR physical properties that have also been distinguished in previous studies as holding significant predictive ability. Major results of this study are as follows. First, we successfully apply our deep learning models to the forecast of daily solar flare occurrence with TSS = 0.65, without any preprocessing to extract features from data. Second, using the attribution methods, we find that the polarity inversion line is an important feature for the deep learning flare forecasting model. Third, the ARs with high Grad-CAM values produce more flares than those with low Grad-CAM values. Fourth, nine SHARP parameters such as total unsigned vertical current, total unsigned current helicity, total unsigned flux, and total photospheric magnetic free energy density are well correlated with Grad-CAM values.

• Ocean Science Journal
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• 제41권4호
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• pp.235-244
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• 2006

Determining 'photosynthetically active radiation' (PAR) is a key part of calculating phytoplankton productivity in a biogeochemical model. We explore the daily and seasonal variability in the ratio of PAR irradiance to total irradiance that occurred at Ieodo Ocean Research Station (IORS) in the East China Sea under clear-sky conditions in 2004 using a simple radiative transfer model (RTM). Meteorological data observed at IORS and aerosol optical properties derived from Aerosol Robotic Network observations at Gosan are used for the RTM. Preliminary results suggest that the use of simple PAR irradiance-ratio values is appropriate in calculating phytoplankton productivity as follows: an average of $0.44\;({\pm}0.01)$ in January to an average of $0.48\;({\pm}0.01)$ in July, with average daily variabilities over these periods of about $0.016\;({\pm}0.008)$ and $0.025\;({\pm}0.008)$, respectively. The model experiments demonstrate that variations in the major controlling input parameters (i.e. solar zenith angle, precipitable water vapor and aerosol optical thickness) cause PAR irradiance ratio variation at daily and seasonal timescales. Further, increases (>0.012) in the PAR irradiance ratio just below the sea-surface are positively correlated with high solar zenith angles and strong wind stresses relative to those just above the sea-surface.

• 상하수도학회지
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• 제11권1호
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• pp.109-118
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• 1997

In this study, we examined the structural analysis of water demand fluctuation for water distribution control of water supply network. In order to analyze for the length of stationary time series, we calculate autocorrelation coefficient of each case equally divided data size. As a result, it was found that, with the data size of around three months, any case could be used as stationary time series. we analyze cross-correlation coefficient between the daily water consumption's data and primary influence factors. As a result, we have decided to use weather conditions and maximum temperature as natural primary factors and holidays as a social factor. Applying the multiple ARIMA model, we obtains an effective model to describe the daily water demand prediction. From the forecasting result, even though we forecast water distribution quantity of the following year, estimated values well express the flctuations of measurements. Thus, the suitability of the model for practical use can be confirmed. When this model is used for practical water distribution control, water distribution quantity for the following day should be found by inputting maximum temperature and weather conditions obtained from weather forecast, and water purification plants and service reservoirs should be operated based on this information while operation of pumps and valves should be set up. Consequently, we will be able to devise a rational water management system.

• 대기
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• 제17권1호
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• pp.45-53
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• 2007

In order to investigate the impacts of heat wave on human health, cluster analysis of meteorological elements (e.g., temperature, dewpoint, sea level pressure, visibility, cloud amount, and wind components) for identifying offensive synoptic air masses is employed. Meteorological data at Seoul during the past 30 years are used. The daily death data at Seoul are also employed. Occurrence frequency of heat waves which is defined by daily maximum temperature greater than the threshold temperature (i.e., $31.2^{\circ}C$) was analyzed. The result shows that the frequency and duration of heat waves at Seoul are increasing during the past 30 years. In addition, the increasing trend of the frequency and duration clearly appears in late spring and early autumn as well as summer. Factor analysis shows that 65.1% of the total variance can be explained by 4 components which are linearly independent. Eight clusters (or synoptic air masses) were classified and found to be optimal for representing the summertime air masses at Seoul, Korea. The results exhibit that cluster-mean values of meteorological variables of an offensive air mass (or cluster) are closely correlated with the observed and standardized deaths.