• 제목/요약/키워드: Relative correlation

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How to Determine Characteristic Importance for Product Success Using a Modified Potential Customer Satisfaction Coefficient in the Kano Model

  • Hae-Geun Song
    • 한국산업융합학회 논문집
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    • 제27권4_1호
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    • pp.769-780
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    • 2024
  • For an organization to survive and prosper, it is essential to continuously develop innovative products by proactively anticipating consumers' implicit requirements. The Kano model has become more useful since Sireli et al. (2007) and Tontini (2007) introduced a simple equation for determining the importance of characteristics by using the concept of Kano's Potential Customer Satisfaction Coefficient (PCSC). However, although several studies have utilized the PCSC concept to determine the importance of characteristics, it is surprising that the two equations have been accepted without any validation process. This study aims to propose a modified equation using PCSC and to conduct a validity test of the proposed equation, demonstrating its superiority over the previously suggested two equations, The author analysed 26 Kano related articles (27 cases), and the correlation coefficients were compared with those obtained from direct rating importance, which served as a comparative criterion. The results indicate that the proposed equation is valid for assessing characteristic importance and demonstrates significantly higher correlation coefficients with the direct method than those suggested by Tontini (2007) and Siireli et al. (2007). The proposed method offers advantages in terms of accuracy and survey duration over traditional methods that directly ask for relative importance (e.g., AHP by Saaty (1980)). Furthermore, the integration of the Kano model with IPA or QFD could enhance the accuracy and efficiency of research in determining the importance of characteristics.

다중회귀를 이용한 기후와 오손도 간의 상관관계 분석 (Analysis of the Correlation on the Weather Conditions and the Contamination Degree Using Mu lisle Regression Method)

  • 심규일;최남호;김종석;한상옥
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2001년도 학술대회논문집
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    • pp.199-202
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    • 2001
  • This paper presents the correlation on the contamination degree and weather conditions using the multiple regression of the statistic method. The cotamination is a significant factor in the insulation system. The major factor is natural contamination, and the most is the salt. The salt contamination is occured by the weather conditions. The weather contaminations are wind, precipitation, temperature, relative humidity, etc. The effects of those are different, and the correlation is showed numerically by using the multiple regression method of the statistic method. With this, the estimation of the equivalent salt deposit density(ESDD) becomes possible by the changes of the weather conditions.

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Construction of Scientific Impact Evaluation Model Based on Altmetrics

  • Li, Jiapei;Shin, Seong Yoon;Lee, Hyun Chang
    • Journal of information and communication convergence engineering
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    • 제15권3호
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    • pp.165-169
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    • 2017
  • Altmetrics is an emergent research area whereby social media is applied as a source of metrics to evaluate scientific impact. Recently, the interest in altmetrics has been growing. Traditional scientific impact evaluation indictors are based on the number of publications, citation counts and peer reviews of a researcher. As research publications were increasingly placed online, usage metrics as well as webometrics appeared. This paper explores the potential benefits of altmetrics and the deep relationship between each metrics. Firstly, we found a weak-to-medium correlation among the 11 altmetrics and visualized such correlation. Secondly, we conducted principal component analysis and exploratory factor analysis on altmetrics of social media, divided the 11 altmetrics into four feature sets, confirming the dispersion and relative concentration of altmetrics groups and developed the altmetrics evaluation model. We can use this model to evaluate the scientific impact of articles on social media.

통계량들의 상관정보에 바탕을 둔 신호검파기의 성능 비교 (A Relative Performance Comparison of Signal Detectors Based on the Correlation Information)

  • 주현;배진수;송익호
    • 한국통신학회논문지
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    • 제30권9C호
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    • pp.849-853
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    • 2005
  • 많은 경우에 신호 검파기들은 관측량 그 자체보다는 관측량의 비선형 통계량을 쓴다. 부호 통계량은 이러한 비선형 통계량의 대표적 보기인데 관측량의 부호정보만을 가지고 있다. 이 논문에서는 관측량과 부호 통계량, 크기 통계량과 같은 비선형 통계량들 사이의 상관 계수를 얻어내고, 비선형 통계량들을 쓰는 검파기들의 점근적 성능을 분석한다.

육체피로와 음성신호와의 상관관계 (Correlation between Physical Fatigue and Speech Signals)

  • 김태훈;권철홍
    • 말소리와 음성과학
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    • 제7권1호
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    • pp.11-17
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    • 2015
  • This paper deals with the correlation between physical fatigue and speech signals. A treadmill task to increase fatigue and a set of subjective questionnaire for rating tiredness were designed. The results from the questionnaire and the collected bio-signals showed that the designed task imposes physical fatigue. The t-test for two-related-samples between the speech signals and fatigue showed that the parameters statistically significant to fatigue are fundamental frequency, first and second formant frequencies, long term average spectral slope, smoothed pitch perturbation quotient, relative average perturbation, pitch perturbation quotient, cepstral peak prominence, and harmonics to noise ratio. According to the experimental results, it is shown that mouth is opened small and voice is changed to be breathy as the physical fatigue accumulates.

담배의 수량과 수량구성요소의 상관, 회귀 및 경로분석 (Correlation, Regression, and Path Analysis between Yield and its Components in Tobacco (Nicotiana tabacum L.))

  • 김용암;유점호
    • 한국연초학회지
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    • 제3권2호
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    • pp.115-122
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    • 1981
  • Data for this study were obtained from Burley 21 (Nicotiana tabacum L.) grown under various densities on the field in 1978 and 1979 at the Jeonju Experiment Station, Korea Ginseng & Tobacco Research Institute. Interrelations between yield and its components were statistically studied by correlation, regression, and pathway analysis. Correlation of yield with plant population was significant and positive. Quadratic functions for yield vs. plant population and the length of the largest leaf were fitted to the data. Multiple recession equation between yield and its components (leaf number ($X_1$), a leaf area ($X_5$), weight per unit leaf area ($X_9$), plant population ($X_14$)), was significant at the 5% level. Measuring the relative importance of its components on yield, plant population was 49.5%, weight per unit leaf area 25.3%, a leaf 15.6%, and leaf number 9.8%.

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Statistical Analysis of Fluorescence Correlation Spectroscopy of Ultra Low Concentration Molecules with a Confocal Microscope

  • Lee, Soon-Hyouk;Lim, Gyu-Chang;Kim, Soo-Yong;Kim, Eun-Kyung;Kim, Hak-Sung;Kim, Sok-Won
    • Journal of the Optical Society of Korea
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    • 제12권3호
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    • pp.170-173
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    • 2008
  • In this study, we simulated a statistical model of FCS(fluorescence correlation spectroscopy) based on a Poisson process to understand and explain observations of the experiment performed on molecules of ultra-low concentration by the home-built laser-scanning confocal microscope. The statistical model confirmed that the relative mean square amplitude of fluctuations is shown to be inversely proportional to the average number of molecules, even in the ultra-low concentration, if some conditions are satisfied. Signal-to-noise ratio and the variability of dwelling time under the confocal volume were found to be effective conditions for the experiment.

아동의 형제관계와 자존감과의 관계 연구 (The Relations between Children's Sibling Relationships and Self-Esteem.)

  • 박영애
    • 대한가정학회지
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    • 제34권2호
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    • pp.315-328
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    • 1996
  • The purpose of this study was to examine how children's sibling relationships were related to their self-esteem. 440 children and their only siblings were asked to respond to two questionnaires concerning the two research variables. The questionnaires used were the SRQ (Furman & Buhrmester, 1985) and the SPPC (Harter, 1985). Ther data were analyzed through correlation analyses, stepwise multiple regression analyses, and canonical correlation analyses. The results were as follows : Warmth·Intimacy and Rivalry (parental partiality toward the child himself/herself) had positive correlations with the child's self-esteem, while sibling Conflict had negative correlations and Relative Status·Power had little correlation. The best predictor of children's self-esteem was sibling Warmth·Intimacy. The next powerful determinants were Conflict and Rivalry. Among the six self-esteem measures, the one predicted best by sibling relationships was Global Self-Worth. The next ones were Behavior·Conduct and Scholastic Competence. The findings revealed that the predictive power of the sibling relationships factors varied considerably according to such status variables as sex and birth order of children and to whether each of the two research variables was analyzed as a whole or at a factor level.

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중풍 환자 변증과 기후 요소와의 상관성에 관한 연구 (The Study of Correlation between Pattern Identification of Stroke Patients and Meteorological Elements)

  • 마미진;한창호
    • 대한한방내과학회지
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    • 제30권1호
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    • pp.200-211
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    • 2009
  • There are many reports about correlations between meteorological elements and stroke. In Oriental medicine, it is recognized that the weather affects the human body and diseases, but there are few studies about the correlation between meteorological elements and pattern identification of stroke. 105 stroke patients classified into fire-heat pattern or dampress-phlegm pattern were registered during the study period. We took the measurement of each meteorological element (atmospheric pressure, temperature, humidity, wind speed) according to pattern identification and analyzed pattern identification into two groups according to mean of each meteorological element during the study period. Mean temperature was higher with the heat-fire pattern than with the dampness-phlegm pattern. Heat-fire pattern also had higher frequency when temperature was higher than mean temperature. There was no correlation between atmospheric pressure, relative humidity, or wind speed and pattern identification.

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포화된 모래지반의 액상화후 과잉간극수압 소산양상 (Dissipation Pattern of Excess Pore Pressure after Liquefaction in Saturated Sand Deposits)

  • 하익수;박영호;김명모
    • 한국지진공학회:학술대회논문집
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    • 한국지진공학회 2003년도 추계 학술발표회논문집
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    • pp.90-97
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    • 2003
  • The purpose of this study is to understand the dissipation pattern of excess pore pressure after liquefaction which governs the post-liquefaction behavior of liquefied sand deposits. 1-g shaking table tests were carried out on 5 different kinds of sands, all of which had high liquefaction potentials. During the tests excess pore pressure at various depths, and surface settlements were measured. The measured curve of the excess pore pressure dissipation was simulated using the solidification theory, and from the analysis of the velocity of dissipation, the dissipation pattern of excess pore pressure after liquefaction was examined. The dissipation velocity of excess pore pressure after liquefaction had a linear correlation with the effective grain size ( $D_{10}$) divided by the coefficient of uniformity ( $C_{u}$), and the increase in the initial relative density of the ground played a role in shifting this correlation curve toward an increased dissipation velocity. From the correlation, an approximate method was recommended for prediction of the dissipation curve of excess pore pressure after liquefaction in saturated sand deposits.s.s.

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