• 제목/요약/키워드: Set value test

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잔골재의 종류에 따른 초속경콘크리트의 특성에 관한 연구 (A Study on the Characteristics of Rapid-set concrete as to Fine aggregate Kinds)

  • 정해동;강의주;이환우;장희석;김명식
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2001년도 가을 학술발표회 논문집
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    • pp.417-422
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    • 2001
  • The purpose of this study is to investigate experimentally the workability, compressive and flexural strength properties of rapid-set concrete with various mixture. The kinds of fine aggregate(river sand, sea sand, crushed sand), water-cement ratio(40%, 45%, 50%), sand-aggrega to ratio(33%, 36%, 39%) were chosen as the experimental parameters. Test variables are temperature of concrete, slump, air contents, compressive and flexural strength. The compressive and flexural strength for 3 hours and 6 hours were tested. As result, it was shown that temperature of concrete involved 45$^{\circ}C$, some time later decreased. The workability were decreasing in steps as the sand-aggregate ratio increased and crushed sand was the highest value. Higher compressive and flexural strength was shown following the order of river sand, sea sand, crushed sand regardless of sand-aggregate ratio. But the values of gap was just a little.

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기계학습을 기반으로 한 인터넷 학술문서의 효과적 자동분류에 관한 연구 (The Study on the Effective Automatic Classification of Internet Document Using the Machine Learning)

  • 노영희
    • 한국도서관정보학회지
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    • 제32권3호
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    • pp.307-330
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    • 2001
  • 본 연구에서는 kNN분류기를 이용한 범주화 방법에 대한 성능 실험을 하였다. kNN분류기와 같은 대부분의 예제기반 자동 분류기법은 학습문서집단의 자질을 축소하게 되는데 자질을 몇 퍼센트 축소함으로써 높은 성능을 얻을 수 있는지를 알아보고자 하였다. 또한, kNN분류기는 학습문서집단에서 검증문서와 가장 유사한 k개의 학습문서를 찾아야 하는데, 이때 가장 적합한 k값은 얼마인지를 실험을 통하여 검증하여 보고자 하였다.

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AGC 운용에 있어서의 원격 On-line 최대 증감발율 취득 기법 (Remote On-line Determination of the Load Rate Limit of Generation in AGC)

  • 권순만;전동훈;문원용;김석주
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 추계학술대회 논문집 학회본부 A
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    • pp.119-121
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    • 2000
  • The possibility of a remote on-line determination of the maximum load rates that are basically set at generation plants is investigated in automatic generation control (AGC) system. Energy management system (EMS) generates a test input to a remote power plant to get the samples of the generator output. Then from the samples it can be attempted to determine an approximate value of the load rate limit set by the operator. It is shown in computer simulation that in actual power plants the limit can be approximately determined from the input-output characteristics of the plants for a unit-step input.

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Polyester 섬유직물에 함유된 불순물이 염색성에 미치는 영향 (The Effects of Impurities of Polyester Fiber Fabric on the Dyeing Property)

  • 박민식;장철민;엄재영;김삼수;허만우
    • 한국염색가공학회지
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    • 제10권1호
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    • pp.43-50
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    • 1998
  • In order to investigate the effect of contained impurities of polyester fiber fabric on the scouring and dyeing property, 3 kinds of polyester fabrics were heat-set treated at $160-200^\circ{C}$ and evaluated its scouring and dyeing property by through with soxhlet extraction and K/S value of the dyed fabric derived from the surface reflectance. The impurities such as oiling and sizing agent are adhered more strongly on the polyester fabric surface by heat setting temperature. In scouring test, the removal of the these re-adhered impurities on the polyester fabric is very difficult in comparing with unheat-set treated polyester fabric. It is also confirmed that the remained impurities on the polyester fiber decreased its dyeing property.

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이미지 감성분류를 위한 CNN과 K-means RGB Cluster 이-단계 학습 방안 (A Two-Stage Learning Method of CNN and K-means RGB Cluster for Sentiment Classification of Images)

  • 김정태;박은비;한기웅;이정현;이홍주
    • 지능정보연구
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    • 제27권3호
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    • pp.139-156
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    • 2021
  • 이미지 분류에서 딥러닝 모형을 사용하는 가장 큰 이유는 이미지의 전체적인 정보에서 각 지역 특징을 추출하여 서로의 관계를 고려할 수 있기 때문이다. 하지만 이미지의 지역 특징이 없는 감정 이미지 데이터는 CNN 모델이 적합하지 않을 수 있다. 이러한 감정 이미지 분류의 어려움을 해결하기 위하여 매년 많은 연구자들이 감정 이미지에 적합한 CNN기반 아키텍처를 제시하고 있다. 색깔과 사람 감정간의 관계에 대한 연구들도 수행되었으며, 색깔에 따라 다른 감정이 유도된다는 결과들이 도출되었다. 딥러닝을 활용한 연구에서도 색깔정보를 활용하여 이미지 감성분류에 적용하는 연구들이 있어왔으며, 이미지만을 가지고 분류 모형을 학습한 경우보다 이미지의 색깔 정보를 추가로 활용한 경우가 이미지 감성 분류 정확도를 더 높일 수 있었다. 본 연구는 사람이 이미지의 감정을 분류하는 기준 중 많은 부분을 차지하는 색감을 이용하여 이미지 감성 분류 정확도를 향상시키는 방안을 제안한다. 이미지의 RGB 값에 K 평균 군집화 방안을 적용하여 이미지를 대표하는 색을 추출하여, 각 감성 클래스 별 해당 색깔이 나올 확률을 가중치 식으로 변형 후 CNN 모델의 최종 Layer에 적용하는 이-단계 학습방안을 구현하였다. 이미지 데이터는 6가지 감정으로 분류되는 Emotion6와 8가지 감정으로 분류되는 Artphoto를 사용하였다. 학습에 사용한 CNN 모델은 Densenet169, Mnasnet, Resnet101, Resnet152, Vgg19를 사용하였으며, 성능 평가는 5겹 교차검증으로 CNN 모델에 이-단계 학습 방안을 적용하여 전후 성과를 비교하였다. CNN 아키텍처만을 활용한 경우보다 색 속성에서 추출한 정보를 함께 사용하였을 때 더 좋은 분류 정확도를 보였다.

뇌졸중 환자의 낙상 예측을 위한 Four Square Step Test의 활용에 관한 연구 (A Study of the Clinical Utility of the Four Square Step Test for Predicting Falls in Stroke Patients)

  • 권미지
    • The Journal of Korean Physical Therapy
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    • 제22권4호
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    • pp.1-6
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    • 2010
  • Purpose: This study was designed to evaluate the clinical utility of the Four square step test (FSST) for predicting falls in stroke patients, to compare the ability of the FSST test to discriminate between subgroups of fallers, and to determine if the test has any predictive value in identifying stroke patients who will fall. Methods: Stroke patients (N=37) who could walk at least 50 m with minimal assistance were recruited consecutively when attending a physical therapy session during their rehabilitation. Dynamic standing balance was measured using the FSST. The main outcome measures were FSST time and fall number. Numbers of falls were compared with FSST scores. Differences between the groups in FSST scores were examined using a t-test and 1-way analysis of variance. Post hoc analysis using the Tukey B procedure was used to identify specific group differences. Alpha was set at 0.05. Results: A total of 15 participants (40.5%) reported falls 6 had recurrent falls (2 falls) and 9 fell once. The mean FSST time differed significantly between groups with zero and multiple falls. A cutoff score of greater than 17 seconds on the FSST was associated with a sensitivity of 83% and a specificity of 84% for the identification of subjects with multiple risk factors for falls. Conclusion: The FSST is a feasible and valid clinical test of dynamic standing balance and can predict falls in post-stroke patients.

PATH AVERAGED OPTION VALUE CRITERIA FOR SELECTING BETTER OPTIONS

  • KIM, JUNSEOK;YOO, MINHYUN;SON, HYEJU;LEE, SEUNGGYU;KIM, MYEONG-HYEON;CHOI, YONGHO;JEONG, DARAE;KIM, YOUNG ROCK
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제20권2호
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    • pp.163-174
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    • 2016
  • In this paper, we propose an optimal choice scheme to determine the best option among comparable options whose current expectations are all the same under the condition that an investor has a confidence in the future value realization of underlying assets. For this purpose, we use a path-averaged option as our base instrument in which we calculate the time discounted value along the path and divide it by the number of time steps for a given expected path. First, we consider three European call options such as vanilla, cash-or-nothing, and asset-or-nothing as our comparable set of choice schemes. Next, we perform the experiments using historical data to prove the usefulness of our proposed scheme. The test suggests that the path-averaged option value is a good guideline to choose an optimal option.

연약지반의 배수설계 기법에 관한 연구 (A Study on the Method of Design of Drainage in Soft Clay)

  • 지인택
    • 한국농공학회지
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    • 제39권3호
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    • pp.128-137
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    • 1997
  • In this study, examined influence of consolidation effect that had affected by location of pump inlet that was set collection well for drainage of pore water discharged by embankment on soft ground through the field test. The results of this study are summarized as follows; 1 Initial consolidation curve value were larger than theoritic value, the cause of these phenomena were thought influence of secondary consolidation and three dimensional strain of soft clay. 2. The settlement value of Hosino method was larger than that of Hyperbolic method, but settlement value of Hyperbolic method was accurate more than that of Hosino method in the prediction of settlement. 3. When pump inlet in collection well came down from GL+O.3m to GL-1.5m, settlement value increased about 10cm and when the ground water level was made insitu after pumping had completed , settlement was expanded about 7~8cm. So it is found that location change of pump inlet bad an influence on settlement remarkably. 4. If location of pump inlet in collection well for large scale estate or wide road site is lowered than original ground level, the settlement will be accelerated effectively, and at this stage automatic pump must be used in pumping.

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로그형 평균값함수를 고려한 소프트웨어 신뢰성모형에 대한 비교연구 (A Comparative Study of Software Reliability Model Considering Log Type Mean Value Function)

  • 신현철;김희철
    • 디지털산업정보학회논문지
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    • 제10권4호
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    • pp.19-27
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    • 2014
  • Software reliability in the software development process is an important issue. Software process improvement helps in finishing with reliable software product. Infinite failure NHPP software reliability models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, proposes the reliability model with log type mean value function (Musa-Okumoto and log power model), which made out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on mean square error (MSE) and coefficient of determination($R^2$), for the sake of efficient model, was employed. Analysis of failure using real data set for the sake of proposing log type mean value function was employed. This analysis of failure data compared with log type mean value function. In order to insurance for the reliability of data, Laplace trend test was employed. In this study, the log type model is also efficient in terms of reliability because it (the coefficient of determination is 70% or more) in the field of the conventional model can be used as an alternative could be confirmed. From this paper, software developers have to consider the growth model by prior knowledge of the software to identify failure modes which can be able to help.

모티프의 표현방법, 모티프와 배경과의 명도대비에 따른 시각적 평가 -꽃패턴을 중심으로- (The Visual Evaluation according to various Methods of Motif Presentation and the Value contrast between the Motif and Background -Floral Pattern-)

  • 장수경
    • 대한가정학회지
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    • 제35권2호
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    • pp.159-172
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    • 1997
  • The purpose of this study was to investigate visual evaluation according to various methods of motif presentation and the value contrast between the motif and background. The instruments developed for this purpose were two sets of stimuli and a response scale. the first set consisted of pattern stimuli. they were eight photographs of floral patterns constructed by using six different motif presentation methods and two different value contrasts. The second set had eight clothing stimuli, photographs of clothings with the above floral patterns. The 7-point sementic differential scale of 19 bipolar adjectives was used as the response scale. The data was analyzed by factor analysis, ANOVA and T-test. The major findings from this study were as follows; 1. Four factors emerged to account for the dimensional structure of the floral pattern image. These factors were attractiveness, tenderness, attention, and maturity. among them attractiveness and tenderness were the major dimensions 2. The patterns and the clothings had no significant difference from each other in terms of attractiveness and tenderness, but in terms of maturity and attention. The pattern presented a cute and sober image, but the clothing presented mature and gorgeous image. 3. methods of motif presentation had significant effects on all the factors. The pattern by shading method gave the most attractive and soft image, the one by line the most soberest, the one by area the most gorgeous, the one by collage the most unattractive, hardest, and cutest, and the one by mosaics the maturest. 4. The value contrast between the motif and background had no significant effects on attractiveness and maturity, but on tenderness and attention. The patterns with a high valued background presented a soft image, but the one with a low valued background a hard image. The patterns with a low valued area presented gorgeous image.

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