• 제목/요약/키워드: Performance Predictor

검색결과 439건 처리시간 0.034초

도시부부의 생활예절수행, 가족체계역동성 및 심리적 복지감에 관한 연구 (Practice of Everyday Life Proprieties, Dynamics of Family Systems, and Psychological Well-Being Among Married Couples)

  • 김연화;이정우
    • 가정과삶의질연구
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    • 제21권2호
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    • pp.1-18
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    • 2003
  • In recent years, Korean society has witnessed an increased interest in the observance of everyday life proprieties, building healthy families, and psychological well-being of family members. The main purpose of this research was to examine the relationships among the practice of everyday life proprieties, dynamics of family systems, and psychological well-being of Korean married couples. A self-report Questionnaire was used to collect data from married couples with a child over four-years-old who are currently residing in Seoul. 513 couples(1026 individuals) were used for the final data analysis. Statistical analyses were conducted using frequencies, percentages, means, standard deviations, Cronbach'α, Pearson correlation, paired t-test, factor analysis, and multiple regression. The findings of this study are as follows: First, the level of the practice of everyday life propriety was relatively high in both husbands and wives, and no significant gender difference was found in the level. Yet, there were some statistically significant differences in certain sub-dimensions. Wives showed a higher degree of performance in public decorum and social etiquette, whereas husbands exhibited a higher degree of performance in family decorum and communication manners. The family systems were highly dynamic, according to both husbands and wives, and there was no difference between husbands and wives. As for the sub-dimensions, the extent of communication was found to be higher among husbands than among wives. Psychological well-being was again relatively high for both husbands and wives, with husbands significantly higher than wives. Second, the findings indicate that the causal model did fit the data well, and that a myriad of background variables had direct and indirect impacts on psychological well-being, and these relationships were mediated by several variables in the sub-dimension of proprieties observance, family adaptability, and the degree of communication. The implication is that the practice of life propriety, an intervening variable, is crucial in improving psychological well-being of married couples. The findings of this research demonstrate that there are significant causal relationships among the practice of everyday life propriety, family systems dynamics, and psychological well-being. In addition, the observance of proprieties is shown to be a concept that can be used as an important predictor in the area of family resource management. Further research is needed to expand its focus on the practice of proprieties in the family resource management. More concrete and specialized family life education programs should be developed to help build healthy families. Lastly, the results indicate that proprieties education needs to be incorporated in family policies in order to promote the quality of family life.

정상 노년층의 인지-언어 능력에 대한 주-객관적 평가 간 상관성 (Correlation between Subjective and Objective Cognitive-Linguistic Tests in Older Adults)

  • 이미숙
    • 한국산학기술학회논문지
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    • 제17권5호
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    • pp.548-556
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    • 2016
  • 노년기의 인지-언어적 변화는 일상생활의 불편함을 초래할 뿐 아니라 신경학적 질환의 주요 지표가 될 수 있다. 본 연구에서는 정상 노년층의 인지-언어 능력에 대한 주관적 및 객관적 평가 간의 상관성을 분석하고 인지-언어 능력의 예측 변인을 알아보았다. 이를 위해 2015년 7월부터 2016년 2월까지 만 65세 이상 정상 노인 63명과 이들의 정보제공자 63명을 대상으로 인지-언어 능력에 대한 자기 보고형 및 정보제공자 보고형 주관적 평가(ISCOLE)와 객관적 평가(CAPTBI)를 시행하였다. 그 결과, 첫째, 노인 및 정보제공자 집단 간에 주관적 평가의 차이는 유의하지 않았다. 둘째, 노인 집단은 8개, 정보제공자 집단은 15개 영역에서 주-객관적 평가 간에 유의한 상관성을 보였다. 셋째, 문제해결력 등은 정보제공자 보고형의 언어능력이, 그리고 집행기능과 언어능력은 정보제공자 보고형의 기억력이 주요 예측 변인이었다. 본 연구를 통해 인지-언어 능력에 대한 주-객관적 평가 간 상관성에 있어 노인 및 정보제공자 집단이 하위 영역별로 차이를 보이며, 정보제공자 집단의 주관적 평가가 더 많은 영역에서 객관적 평가와 상관성이 있음을 알 수 있었다. 이는 정상 노년층을 대상으로 한 인지-언어 능력의 평가 및 예방적 중재 시 적극 활용될 수 있을 것이다.

영화의 개봉일 흥행성과가 영화의 최종 흥행에 미치는 영향: 개봉일 흥행순위를 중심으로 (The Impact of Opening Day Box Office Performance on a Movie's Final Box Office: Focusing on a Movie's Box Office Rank on an Opening Day)

  • 최성희
    • 한국콘텐츠학회논문지
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    • 제20권12호
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    • pp.221-229
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    • 2020
  • 본 연구는 개봉일 흥행순위, 특히 개봉일 흥행 1위 여부에 초점을 두고 영화의 최종 흥행 예측 지표를 탐색하고자 한다. 한국 영화시장의 최근 5년간(2013~2017년) 개봉작 총 794편의 자료에 대한 회귀분석을 통해, 개봉일 흥행 1위를 달성한 영화일수록 최종 흥행성과가 더 좋음을 확인하였다. 또한 영화의 질(quality)이 개봉일 흥행 1위 영화의 흥행에 추가적인 영향을 준다고 보기는 어려웠다. 개봉일 흥행 1위 여부 외에 개봉일 대비 일요일 상영횟수 증가 여부도 최종 관객 수에 영향을 가지는 것으로 나타났다. 개봉일 흥행 1위 영화 158편에 대한 추가 분석 결과, 개봉 2주차 관객증가율의 최종 흥행 설명력이 높았다. 영화의 개봉일 흥행과 최종 흥행 간의 상관계수를 연도별로 비교한 결과, 상관계수가 일관된 증가 추세를 보이지는 않았다. 본 연구는 영화 흥행에 대한 새로운 지표들을 발굴하고 해당 지표들의 최종 흥행에 대한 영향이 유의하다는 것을 확인하였다는 점에서 기존 연구와 차별성을 가진다고 볼 수 있다.

Implicit 수치적분 방법을 이용한 조립토에 관한 구성방정식의 수행 (Implicit Numerical Integration of Two-surface Plasticity Model for Coarse-grained Soils)

  • 최창호
    • 한국지반공학회논문집
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    • 제22권9호
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    • pp.45-59
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    • 2006
  • 탄소성 구성방정식은 주로 미분방적식(rate equation)으로 이루어져 있기 때문에 유한요소법 등을 이용한 지반구조물 해석시 미분방정식들에 대한 수치적분을 수행할 수 있는 방법이 필요하다. 구조물의 거동을 해석할시 미분방정식들을 위한 적분방법은 해석결과의 정확성과 유한요소법 모델링의 안전성에 큰 영향을 미치고 있다. 본 논문에서는 최근에 개발되어 사용되고 있는 흙에 관한 구성모델인 "Two-surface soil plasticity model (Manzari and Dafalias 1997)"을 Implicit return-mapping 수치적분방법을 이용하여 실행하는 과정을 제시한다. 본 연구에서 사용된 수치적분방법은 Closest-Point-Projection Method(CPPM) 방법으로 탄성 예측자-소성 교정자(elastic predictor-plastic corrector) 개념을 Implicit Backward Euler방법으로 체계화 시킨 알고리듬이다. 본 연구에서 수행한 "Two-surface soil plasticity model"은 조립토의 비선형거동을 해석하며, Bounding surface 개념 및 비선형 등방경화와 이동경화법칙을 사용하는 모델이다. 본 연구는 CPPM 방법이 정확하고 안정되며 유용한 수치적분을 수행할 수 있는 알고리듬이라는 것을 제시한다. 또한, CPPM 알고리듬은 구성방정식의 해를 반복적으로 해석하는 동안 "Consistent tangent operator $d{\sigma}/d{\varepsilon}$"를 제공하므로, 비선형 유한요소 해석이 2차(quadratic convergence rate)의 수렴 조건을 만족하는데 기여한다는 것을 보여준다.

Diagnosis of Residual Tumors after Unplanned Excision of Soft-Tissue Sarcomas: Conventional MRI Features and Added Value of Diffusion-Weighted Imaging

  • Jin, Kiok;Lee, Min Hee;Yoon, Min A;Kim, Hwa Jung;Kim, Wanlim;Chee, Choong Geun;Chung, Hye Won;Lee, Sang Hoon;Shin, Myung Jin
    • Investigative Magnetic Resonance Imaging
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    • 제26권1호
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    • pp.20-31
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    • 2022
  • Purpose: To assess conventional MRI features associated with residual soft-tissue sarcomas following unplanned excision (UPE), and to compare the diagnostic performance of conventional MRI only with that of MRI including diffusion-weighted imaging (DWI) for residual tumors after UPE. Materials and Methods: We included 103 consecutive patients who had received UPE of a soft-tissue sarcoma with wide excision of the tumor bed between December 2013 and December 2019 and who also underwent conventional MRI and DWI in this retrospective study. The presence of focal enhancement, soft-tissue edema, fascial enhancement, fluid collections, and hematoma on MRI including DWI was reviewed by two musculoskeletal radiologists. We used classification and regression tree (CART) analysis to identify the most significant MRI features. We compared the diagnostic performances of conventional MRI and added DWI using the McNemar test. Results: Residual tumors were present in 69 (66.9%) of 103 patients, whereas no tumors were found in 34 (33.1%) patients. CART showed focal enhancement to be the most significant predictor of residual tumors and correctly predicted residual tumors in 81.6% (84/103) and 78.6% (81/103) of patients for Reader 1 and Reader 2, respectively. Compared with conventional MRI only, the addition of DWI for Reader 1 improved specificity (32.8% vs. 56%, 33.3% vs. 63.0%, P < 0.05), decreased sensitivity (96.8% vs. 84.1%, 98.7% vs. 76.7%, P < 0.05), without a difference in diagnostic accuracy (76.7% vs. 74.8%, 72.9% vs. 71.4%) in total and in subgroups. For Reader 2, diagnostic performance was not significantly different between the sets of MRI (P > 0.05). Conclusion: After UPE of a soft-tissue sarcoma, the presence or absence of a focal enhancement was the most significant MRI finding predicting residual tumors. MRI provided good diagnostic accuracy for detecting residual tumors, and the addition of DWI to conventional MRI may increase specificity.

Predicting blast-induced ground vibrations at limestone quarry from artificial neural network optimized by randomized and grid search cross-validation, and comparative analyses with blast vibration predictor models

  • Salman Ihsan;Shahab Saqib;Hafiz Muhammad Awais Rashid;Fawad S. Niazi;Mohsin Usman Qureshi
    • Geomechanics and Engineering
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    • 제35권2호
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    • pp.121-133
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    • 2023
  • The demand for cement and limestone crushed materials has increased many folds due to the tremendous increase in construction activities in Pakistan during the past few decades. The number of cement production industries has increased correspondingly, and so the rock-blasting operations at the limestone quarry sites. However, the safety procedures warranted at these sites for the blast-induced ground vibrations (BIGV) have not been adequately developed and/or implemented. Proper prediction and monitoring of BIGV are necessary to ensure the safety of structures in the vicinity of these quarry sites. In this paper, an attempt has been made to predict BIGV using artificial neural network (ANN) at three selected limestone quarries of Pakistan. The ANN has been developed in Python using Keras with sequential model and dense layers. The hyper parameters and neurons in each of the activation layers has been optimized using randomized and grid search method. The input parameters for the model include distance, a maximum charge per delay (MCPD), depth of hole, burden, spacing, and number of blast holes, whereas, peak particle velocity (PPV) is taken as the only output parameter. A total of 110 blast vibrations datasets were recorded from three different limestone quarries. The dataset has been divided into 85% for neural network training, and 15% for testing of the network. A five-layer ANN is trained with Rectified Linear Unit (ReLU) activation function, Adam optimization algorithm with a learning rate of 0.001, and batch size of 32 with the topology of 6-32-32-256-1. The blast datasets were utilized to compare the performance of ANN, multivariate regression analysis (MVRA), and empirical predictors. The performance was evaluated using the coefficient of determination (R2), mean absolute error (MAE), mean squared error (MSE), mean absolute percentage error (MAPE), and root mean squared error (RMSE)for predicted and measured PPV. To determine the relative influence of each parameter on the PPV, sensitivity analyses were performed for all input parameters. The analyses reveal that ANN performs superior than MVRA and other empirical predictors, andthat83% PPV is affected by distance and MCPD while hole depth, number of blast holes, burden and spacing contribute for the remaining 17%. This research provides valuable insights into improving safety measures and ensuring the structural integrity of buildings near limestone quarry sites.

T2 Mapping with and without Fat-Suppression to Predict Treatment Response to Intravenous Glucocorticoid Therapy for Thyroid-Associated Ophthalmopathy

  • Linhan Zhai;Qiuxia Wang;Ping Liu;Ban Luo;Gang Yuan;Jing Zhang
    • Korean Journal of Radiology
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    • 제23권6호
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    • pp.664-673
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    • 2022
  • Objective: To evaluate the performance of baseline clinical characteristics and pretherapeutic histogram parameters derived from T2 mapping of the extraocular muscles (EOMs) in the prediction of treatment response to intravenous glucocorticoid (IVGC) therapy for active and moderate-to-severe thyroid-associated ophthalmopathy (TAO) and to investigate the effect of fat-suppression (FS) in T2 mapping in this prediction. Materials and Methods: A total of 79 patients clinically diagnosed with active, moderate-to-severe TAO (47 female, 32 male; mean age ± standard deviation, 46.1 ± 10 years), including 43 patients with a total of 86 orbits in the responsive group and 36 patients with a total of 72 orbits in the unresponsive group, were enrolled. Baseline clinical characteristics and pretherapeutic histogram parameters derived from T2 mapping with FS (i.e., FS T2 mapping) or without FS (i.e., conventional T2 mapping) of EOMs were compared between the two groups. Independent predictors of treatment response to IVGC were identified using multivariable analysis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive performance of the prediction models. Differences between the models were examined using the DeLong test. Results: Compared to the unresponsive group, the responsive group had a shorter disease duration, lower kurtosis (FS-kurtosis), lower standard deviation, larger 75th, 90th, and 95th (FS-95th) T2 relaxation times in FS mapping and lower kurtosis in conventional T2 mapping. Multivariable analysis revealed that disease duration, FS-95th percentile, and FS-kurtosis were independent predictors of treatment response. The combined model, integrating all identified predictors, had an optimized area under the ROC curve of 0.797, 88.4% sensitivity, and 62.5% specificity, which were significantly superior to those of the imaging model (p = 0.013). Conclusion: An integrated combination of disease duration, FS-95th percentile, and FS-kurtosis was a potential predictor of treatment response to IVGC in patients with active and moderate-to-severe TAO. FS T2 mapping was superior to conventional T2 mapping in terms of prediction.

병원도산 예측에 관한 연구 (Predicting hospital bankruptcy in Korea)

  • 이무식;서영준
    • Journal of Preventive Medicine and Public Health
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    • 제31권3호
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    • pp.490-502
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    • 1998
  • 본 연구는 우리 나라 병원도산 예측모형을 도출하기 위한 연구로 1992년에서 1997년 사이 5년간의 전국 병원 경영통계 자료를 이용하여 1995년부터 1997년 사이에 도산한 병원중도산전 3년까지의 연속된 자료가 있는 31개 병원을, 비교군 병원은 도산병원과 유사한 병상규모를 가지고 당기순이익이 발생한 31개 우량병원을 선정하여 단계적 판별분석에 의한 실증연구를 시행하였다. 본 연구의 구체적 연구결과는 다음과 같다. 첫째, 도산전 각 연도별로 도산병원과 우량병원간에 연구변수의 단순 평균치분석 결과, 자본구조 지표인 자기자본비율과 수익성지표인 총자본의료이익을, 의료수익의료이익을, 총자본경상이익을, 의료수익경상이익율, 총자본순이익을 등은 도산 1, 2, 3년전 모두에서 도산병원과 우량병원간에 유의한 차이를 보였다. 자본고정성지표는 도산 1년전에 고정비율이 유의한 차이를 보였고, 유동성지표는 도산 1년전에는 유동비율과 당좌비율이 유의한 차이를 보였고 도산 2년전에는 당좌비율만이 유의한 차이를 보였다. 활동성지표로는 도산 1년전에 총자본회전율과 재고자산회전율이 유의한 차이를 보였고 도산 2년전에는 총자본회전율과 의료미수금회전율이, 도산 3년전에는 의료미수금회전율만이 유의한 차이를 보였다. 생산성지표로는 도산 2년전에 총자본투자효율이, 도산 3년전에는 조정환자1인당 부가가치가 유의한 차이를 보였다. 진료실적지표로는 도산 3년전 일평균재원환자수가 유의한 차이를 보였다. 둘째, 도산 1, 2, 3년전 판별함수는 각각 도산 1년전 Z=($0.0166\times$당좌비율)-($0.1356\times$총자본경상이익을)-($1.545\times$총자본회전을), 도산 2년전 Z=($0.0119\times$당좌비율)-($0.1433\times$총자본의료이익율)-($0.0227\times$총자본투자효율), 도산 3년전 Z=($0.3533\times$총자본순이익율)-($0.1336\times$의료미수금회전율)-($0.04301\times$조정환자1인당부가가치)+($0.000119\times$일평균재원환자수)이었다. 셋째, 도출된 도산 1, 2, 3년전 각 판별함수의 예측력은 77.42%, 79.03%, 82.25% 이었다.

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A Study on Relationship between Physical Elements and Tennis/Golf Elbow

  • Choi, Jungmin;Park, Jungwoo;Kim, Hyunseung
    • 대한인간공학회지
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    • 제36권3호
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    • pp.183-196
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    • 2017
  • Objective: The purpose of this research was to assess the agreement between job physical risk factor analysis by ergonomists using ergonomic methods and physical examinations made by occupational physicians on the presence of musculoskeletal disorders of the upper extremities. Background: Ergonomics is the systematic application of principles concerned with the design of devices and working conditions for enhancing human capabilities and optimizing working and living conditions. Proper ergonomic design is necessary to prevent injuries and physical and emotional stress. The major types of ergonomic injuries and incidents are cumulative trauma disorders (CTDs), acute strains, sprains, and system failures. Minimization of use of excessive force and awkward postures can help to prevent such injuries Method: Initial data were collected as part of a larger study by the University of Utah Ergonomics and Safety program field data collection teams and medical data collection teams from the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). Subjects included 173 male and female workers, 83 at Beehive Clothing (a clothing plant), 74 at Autoliv (a plant making air bags for vehicles), and 16 at Deseret Meat (a meat-processing plant). Posture and effort levels were analyzed using a software program developed at the University of Utah (Utah Ergonomic Analysis Tool). The Ergonomic Epicondylitis Model (EEM) was developed to assess the risk of epicondylitis from observable job physical factors. The model considers five job risk factors: (1) intensity of exertion, (2) forearm rotation, (3) wrist posture, (4) elbow compression, and (5) speed of work. Qualitative ratings of these physical factors were determined during video analysis. Personal variables were also investigated to study their relationship with epicondylitis. Logistic regression models were used to determine the association between risk factors and symptoms of epicondyle pain. Results: Results of this study indicate that gender, smoking status, and BMI do have an effect on the risk of epicondylitis but there is not a statistically significant relationship between EEM and epicondylitis. Conclusion: This research studied the relationship between an Ergonomic Epicondylitis Model (EEM) and the occurrence of epicondylitis. The model was not predictive for epicondylitis. However, it is clear that epicondylitis was associated with some individual risk factors such as smoking status, gender, and BMI. Based on the results, future research may discover risk factors that seem to increase the risk of epicondylitis. Application: Although this research used a combination of questionnaire, ergonomic job analysis, and medical job analysis to specifically verify risk factors related to epicondylitis, there are limitations. This research did not have a very large sample size because only 173 subjects were available for this study. Also, it was conducted in only 3 facilities, a plant making air bags for vehicles, a meat-processing plant, and a clothing plant in Utah. If working conditions in other kinds of facilities are considered, results may improve. Therefore, future research should perform analysis with additional subjects in different kinds of facilities. Repetition and duration of a task were not considered as risk factors in this research. These two factors could be associated with epicondylitis so it could be important to include these factors in future research. Psychosocial data and workplace conditions (e.g., low temperature) were also noted during data collection, and could be used to further study the prevalence of epicondylitis. Univariate analysis methods could be used for each variable of EEM. This research was performed using multivariate analysis. Therefore, it was difficult to recognize the different effect of each variable. Basically, the difference between univariate and multivariate analysis is that univariate analysis deals with one predictor variable at a time, whereas multivariate analysis deals with multiple predictor variables combined in a predetermined manner. The univariate analysis could show how each variable is associated with epicondyle pain. This may allow more appropriate weighting factors to be determined and therefore improve the performance of the EEM.

디지털 카메라 칼라영상 분석을 이용한 벼 질소 수비량 추천 원시 프로그램의 개발과 예비 적용성 검토 (Development and Preliminary Test of a Prototype Program to Recommend Nitrogen Topdressing Rate Using Color Digital Camera Image Analysis at Panicle Initiation Stage of Rice)

  • 지정현;이재홍;최병열;한상욱;김순재;박경열;이규종;이변우
    • 한국작물학회지
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    • 제55권4호
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    • pp.312-318
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    • 2010
  • 이 연구는 칼라 디지털 카메라 영상 분석에 의한 유수분화기 벼 군락의 건물중 및 질소흡수량 추정 모델, 유수분화기 질소흡수량과 질소 수비량에 따른 유수분화기 이후 질소 흡수량 추정 모델, 유수분화기 질소 흡수량과 유수분화기 이후 질소 흡수량에 따른 수량 및 쌀 단백질함량 추정 모델을 구축하고 이를 종합하여 목표 수량 또는 단백질함량을 달성하기 위한 질소 수비량을 추천하는 원시 프로그램을 개발하여 현장 적용성 예비 검토를 실시하고자 한 것이다. 1. 군락피복도(CC)와 군락체적(CV)은 초장, 건물중 및 질소흡수량과 고도로 유의한정의 상관을 나타내었으며, R, G, B, NDI 및 명도 값은 이들과 유의한 부의 상관을 나타내었다. 한편 표준화된 색지표인 r은 잎 및 지상부 질소함량과 유의한 부의 상관을 나타내었으나 표준화 색지표 b와 g는 이들과 유의한 상관을 보이지 않았다. 2. 벼 군락의 디지털 카메라 영상분석을 이용한 벼 지상부 건물중 및 질소 흡수량을 추정하기 위한 비선형회귀 모델을 작성하였다. 지상부 건물중 추정 모텔에는 CC와 정규화된 R값(r, NorR)이 변수로 채택이 되었고, 질소흡수량 추정에는 CC와 정규화된 G값(g, NorG)이 채택되었으며, 이들 모델의 결정계수는 각각 0.81과 0.68이었다. 영성분석 색지표 이외에 초장을 모델에 도입하는 경우 모델의 결정계수는 더 높아졌다. 3. 유수분화기에 적정 질소 추비량을 처방하기 위해서는 유수분화기 식물체의 질소 영양 상태(질소 흡수량, PNup) 및 질소 시비량이 수량과 단백질함량에 미치는 영향을 정량화하여야 하는데, 이를 위하여 Npi와 PNup이 유수 분화기부터 성숙기까지의 지상부 질소흡수량에 미치는 영향 및 PNup과 PHNup이 벼 수량 및 쌀 단백질 함량에 미치는 영향을 검토하여 중회귀 모델을 작성하였으며 이 모델들은 결정계수가 모두 0.8이상으로 높았다. 4. 상기의 모델들을 종합하여 유수분화기 벼 군락 영상분석을 이용한 수비처방 원시 프로그램을 작성하여 예비 검증 실험을 하였다. 벼 수비 처방 프로그램에 의해 쌀단백질 함량 6.0%를 기준으로 처방된 수비질소 분시율이 19%~21%로 표준재배 분시율 30%에 비해 낮은 수준으로 처방되었으나 완전미 수량은 대등하였고, 단백질함량은 수비처방 목표단백질 함량 6%보다는 다소 낮은 5.7~5.8%였으며, 수량과 단백질함량의 변이 계수는 관행 수비 처방구에 비하여 프로그램 처방구에서 크게 낮아져서 프로그램 처방에 의하여 수량과 품질이 균질화되는 결과였다.