• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.1
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• pp.71-78
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• 2016

This paper proposes the new electric power demand forecast model which is based on an artificial neural network and considers time and weather factors. Time factors are selected by measuring the autocorrelation coefficients of load demand in summer and winter seasons. Weather factors are selected by using Pearson correlation coefficient The important weather factors are temperature and dew point because the correlation coefficients between these factors and load demand are much higher than those of the other factors such as humidities, air pressures and wind speeds. The experimental results show that the proposed model using time and seasonal weather factors improves the load demand forecasts to a great extent.

• Journal of Families and Better Life
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• v.12 no.1
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• pp.117-131
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• 1994

본 연구는 근린환경에 대한 거주자의 인지도를 파악하고, 현재 거주하고있는 지역의 근린환경에 대한 만족도를 조사하여 앞으로의 주거이동 성향이 어떻게 나타날 것인가를 예측해보는데 그 목적이 있다. 측정도구의 신뢰도계수($Cronbach's\;\alpha$)는 0.865이며, 분석방법은 빈도, 평균, $x^2$ 검증, t-검증, 일원변령분석 요인분석, 피어슨의 상관계수, 중다회귀분석, 다변량판별분석을 사용하였다. 연구결과는 첫째 '입지성' 속성에 대해 거주자의 인지와 만족이 가장 긍정적이었고 '쾌적성 및 정체감' 에 대해 가정 부정적이었다. 둘째 근린환경 인지도가 높을수록 부인의 교육수준이 높을수록 주거소유권이 자가이고 상가주변지역에 살고 있는 거주자들의 근린환경에 대한 총 만족도가 높게 나타났다. 셋째 거주기간 총 만족도, 주거용도 지역, 주택규모, 소득수준이 주거이동 성향을 판별하는 변인으로 나타났다.

• Journal of Information Management
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• v.40 no.2
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• pp.95-115
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• 2009

Author resolution is to disambiguate same-name author occurrences into real individuals. For this, pair-wise author similarities are computed for author name entities, and then clustering is performed. So far, many studies have employed hierarchical clustering techniques for author disambiguation. However, various hierarchical clustering methods have not been sufficiently investigated. This study covers an empirical evaluation and analysis of hierarchical clustering applied to Korean author resolution, using multiple distance functions such as Dice coefficient, Cosine similarity, Euclidean distance, Jaccard coefficient, Pearson correlation coefficient.

• Journal of Broadcast Engineering
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• v.16 no.2
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• pp.331-338
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• 2011

In this paper, we propose a visual fatigue prediction metric which considers individual fusional characteristics for stereoscopic video. It predicts the visual fatigue level by examining the disparity and motion characteristics of 3D videos. In addition, we classified the viewers into 2 groups according to fusional limit and the slope of fusional response which are acquired from random dot stereogram test. Then, Pearson's and Spearman's correlation coefficient was measured between the proposed metrics and the subjective results, acquiring 80% and 79%.

• Journal of the korean academy of Pediatric Dentistry
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• v.28 no.4
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• pp.668-672
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• 2001

The purpose of study was to measure the interrater reliability of the caries diagnostic instrument, Diagnodent(KaVo, Germany), using a new laser fluorescence technique. Occlusal surfaces and smooth surfaces of one hundred extracted human premolars and molars were examined by four dentists. Pearson correlation coeffcients were 0703 to 0.870 for occlusal surfaces and 0.764 to 0.932 for smooth surfaces (P<0.01, all). Reliability coefficients which were calculated by intraclass correlation coefficients were 0.9450 for occlusal surfaces and 0.9605 for smooth surfaces. Therefore, the interrater reliability of caries diagnosis by Diagnodent is very high, and the rater training would be necessary more for occlusal surfaces than for smooth surfaces.

• The Journal of Korean Academy of Sensory Integration
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• v.21 no.3
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• pp.27-38
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• 2023

Objective : This study aims to verify the validity and reliability of the Korean version of the Sensory Processing and Self-Regulation Checklist (SPSRC) for children with and without autism spectrum disorder. Methods : The Pearson product-moment correlation coefficient was calculated using Short Sensory Profile (SSP) to verify concurrent validity. Construct validity was verified by comparing the sensory processing ability and self-regulation ability of the two groups. Cronbach's α was calculated in the case of internal consistency for reliability verification, and the test-retest reliability was verified through the Pearson correlation coefficient. Results : Based on the verification of the concurrent validity, the Korean version of SPSRC and SSP showed a statistically significant correlation (p < 0.01). The construct validity was found to have a statistically significant difference between the two groups in the area and sub-items of the Korean version of SPSRC (p < 0.001). For the internal consistency, Cronbach's α ranged from 0.700 to 0.975. The test-retest reliability showed that the correlation coefficient ranged from 0.937 to 0.997. Conclusion : The Korean version of SPSRC was confirmed to be an evaluation tool with high validity and reliability. It is expected to be used as an evaluation tool for planning treatment goals in clinical trials and as a meaningful basis for future research.

• The Journal of Bigdata
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• v.2 no.1
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• pp.41-48
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• 2017

Recently, the popularity of the recommendation system and the evaluation of the performance of the algorithm of the recommendation system have become important. In this study, we used modeling and RMSE to verify the effectiveness of various algorithms in movie data. The data of this study is based on user-based collaborative filtering using Pearson correlation coefficient, item-based collaborative filtering using cosine correlation coefficient, and item-based collaborative filtering model using singular value decomposition. As a result of evaluating the scores with three recommendation models, we found that item-based collaborative filtering accuracy is much higher than user-based collaborative filtering, and it is found that matrix recommendation is better when using matrix decomposition.

• Smart Media Journal
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• v.7 no.3
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• pp.22-28
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• 2018

Air pollution problems in Korea are gradually becoming a higher concern due to various reasons such as fine dust, causing anxiety among people with regard to their health. Although various studies have been carried out on the relationship between the influence of fine dust and a certain disease, they are mostly focusing on the analyzation that fine dust is related to specific illnesses such as respiratory and cardiovascular diseases, hypertension and diabetes. In this paper, we utilize the public data of medical history information to extract ten medical care subjects with the highest number of monthly care in 2016, and analyze the relation of fine dust with certain medical subjects using Pearson correlation coefficient. We also subdivide and analyze the correlation between fine dust and the medical subjects according to their gender and age. Middle-aged Female group with the strongest positive correlation between fine dust and the medical subjects is analyzed with the correlation from 2011 to 2015, with its relevance coefficient extracted by regression analysis in order to predict the correlation with the medical subjects according to the fine dust concentration.

• Composites Research
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• v.35 no.1
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• pp.42-46
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• 2022

In this study, when the carbon fiber composite was manufactured, the correlation between the porosity and mechanical properties according to the number of glass fiber felts laminated together and the stacking sequence was confirmed. The carbon fiber composite was manufactured by stacking glass fiber felts, which are highly permeable materials, and using vacuum assisted resin transfer molding (VARTM). Porosity was measured by photographing the cross-section of the specimen with an optical microscope and then using porosity calculation code of MATLAB, and mechanical properties were measured for tensile strength, modulus by tensile test. Furthermore, Pearson correlation coefficient between porosity and mechanical properties was calculated to confirm the correlation between two variables. As a result, the number of glass fiber felt increased and the distance from the center of laminated composites increased, the porosity increasing were confirmed. In addition, tensile strength/modulus showed a weak positive correlation with porosity. Also, in order to confirm the effect of only porosity on tensile strength and modulus, mechanical properties calculated by CLPT (Classical Laminate Plate Theory) and experimental values were compared, and the difference in tensile strength showed a strong positive correlation with porosity and the difference in modulus showed a weak positive correlation with porosity.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.220-229
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• 2002

협력적 추천 기법은 유사한 이웃의 선호도를 이용하여 고객에게 개인화된 아이템을 추천해 주는 방법으로 비교적 높은 정확도를 보이며 추천 시스템의 중심으로 연구되어져 왔다. 그러나, 지금까지의 추천 시스템은 도메인의 특성을 제대로 고려하지 못한채 추천을 시행함으로써 특정 도메인에서 추천의 정확도가 떨어지는 문제점이 발생하였다. 이러한 문제점들을 보완하기 위하여 본 논문에서는 평균 고객 유사도, 평균 아이템 유사도, 밀집도 등의 추천 선행 평가 척도를 제안하고, 추천 선행평가 척도와 추천의 정확도와의 상관관계를 보이며, 이를 이용하여 짧은 수행시간 안에 추천 적용이 가능한 마케팅 도메인 및 고객군을 선정하는 방법을 제시한다.