• 제목/요약/키워드: partial correlation analysis

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A Study on Technology Acceptance Plans to Expand Direct Participation in the Sports Industry (스포츠 산업의 직접 참여 확대를 위한 기술수용 방안 연구)

  • Sangho Lee;Kwangmoon Cho
    • Journal of Internet of Things and Convergence
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    • 제9권1호
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    • pp.105-115
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    • 2023
  • This study seeks to find a way to induce users to expand their direct participation in sports through the acceptance of digital technology. From July 1 to August 30, 2022, a survey was conducted targeting home training users who applied the Internet of Things (IoT). 129 people participated in the survey through non-face-to-face self-administration method. For data processing, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and 3-step mediation regression analysis were conducted using IBM's SPSS 21.0 program. The results of the study are as follows. First, in the relationship between the home training PPM model and direct participation in sports, ease appeared to have a mediating effect. In the factors of push, simple functionality showed a complete mediating effect, and inefficiency showed a partial mediating effect. Among pull factors, enjoyment and possibility of experience showed a complete mediating effect. In the mooring factors, individual innovativeness showed a complete mediating effect. Second, in the relationship between home training PPM model and direct participation in sports, usefulness showed a mediating effect. In the factors of push, simple functionality showed a complete mediating effect, and inefficiency showed a partial mediating effect. Among pull factors, enjoyment and possibility of experience showed a complete mediating effect. Among the mooring factors, individual innovativeness showed a partial mediating effect. Through this research, it is expected that the sports industry will contribute to the expansion of consumption expenditure and economic growth through the expansion of digital technologies such as NFT, Metaverse, and virtual/augmented reality.

Partial Principal Component Elimination Method and Extended Temporal Decorrelation Method for the Exclusion of Spontaneous Neuromagnetic Fields in the Multichannel SQUID Magnetoencephalography

  • Kim, Kiwoon;Lee, Yong-Ho;Hyukchan Kwon;Kim, Jin-Mok;Kang, Chan-Seok;Kim, In-Seon;Park, Yong-Ki
    • Progress in Superconductivity
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    • 제4권2호
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    • pp.114-120
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    • 2003
  • We employed a method eliminating a temporally partial principal component (PC) of multichannel-recorded neuromagnetic fields for excluding spatially correlated noises from event-evoked signals. The noises in magnetoencephalography (MEG) are considered to be mainly spontaneous neuromagnetic fields which are spatially correlated. In conventional MEG experiments, the amplitude of the spontaneous neuromagnetic field is much lager than that of the evoked signal and the synchronized characteristics of the correlated rhythmic noise makes it possible for us to extract the correlation noises from the evoked signal by means of the general PC analysis. However, the whole-time PC of the fields still contains a little projection component of the evoked signal and the elimination of the PC results in the distortion of the evoked signal. Especially, the distortion will not be negligible when the amplitude of the evoked signal is relatively large or when the evoked signals have a spatially-asymmetrical distribution which does not cancel out the corresponding elements of the covariance matrix. In the period of prestimulus, there are only the spontaneous fields and we can find the pure noise PC that is not including the evoked signal. Besides that, we propose a method, called the extended temporal decorrelation method (ETDM), to suppress the distortion of the noise PC from remanent evoked signal components. In this study, we applied the Partial Principal component elimination method (PPCE) and ETDM to simulated signals and the auditory evoked signals that had been obtained with our homemade 37-channel magnetometer-based SQUID system. We demonstrate here that PPCE and ETDM reduce the number of epochs required in averaging to about half of that required in conventional averaging.

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Determination of Diazepam in Intact Diazepam Tablets Using Near Infrared Spectroscopy (근적외선 분광법을 이용한 디아제팜정에서 디아제팜의 정량)

  • Choi, Hyun Cheol;Kang, Shin Jung;Youn, Mi Ok;Lee, Su Jung;Kim, Ho Jung;Kim, Ji Yeon;Cha, Ki Won
    • Analytical Science and Technology
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    • 제15권3호
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    • pp.243-247
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    • 2002
  • A rapid and simple determination of diazepam in intact diazepam tablets has been investigated using the near infrared spectroscopy(NIRS) combined with partial least squares regession. The separate calibration curves of 2 mg and 5 mg diazepam tablets were studied, as well as the linearity, concentration range and reproducibility of those calibration curves were evaluated. The correlation coefficients of calibration curves of 2 mg and 5 mg diazepam tablets are 0.9416 and 0.9159, respectively and the standard errors of calibration curves(SEC) are 0.018% and 0.032%, respectively.

Investigation on Oil-paper Degradation Subjected to Partial Discharge Using Chaos Theory

  • Gao, Jun;Wang, Youyuan;Liao, Ruijin;Wang, Ke;Yuan, Lei;Zhang, Yiyi
    • Journal of Electrical Engineering and Technology
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    • 제9권5호
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    • pp.1686-1693
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    • 2014
  • In this paper, oil-paper samples composed of transformer windings were used to investigate the insulation degradation process subjected to partial discharge (PD), with artificial defects inside to simulate the PD induced insulation degradation. To determine appropriate test voltages, the breakdown time obtained through a group of accelerated electrical degradation tests under high voltages was firstly fitted by two-parameter Weibull model to acquire the average breakdown time, which was then applied to establish the inverse power law life model to choose advisable test voltages. During the electrical degradation process, PD signals were synchronously detected by an ultra-high frequency (UHF) sensor from inception to breakdown. For PD analysis, the whole degradation process was divided into ten stages, and chaos theory was introduced to analyze the variation of three chaotic parameters with the development of electrical degradation, namely the largest Lyapunov exponent, correlation dimension and Komogorov entropy of PD amplitude time series. It is shown that deterministic chaos of PD is confirmed during the oil-paper degradation process, and the obtained results provide a new effective tool for the diagnosis of degradation of oil-paper insulation subjected to PD.

Appearance-Related Consumption Behavior according to Interpersonal Relations and Masculinity - Mediated effect of Appearance Concern - (대인관계성향, 남성성유형에 따른 외모관련소비행동 연구 - 외모관심도의 매개효과 분석 -)

  • Lee, Hyun-Ok
    • Fashion & Textile Research Journal
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    • 제15권5호
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    • pp.777-786
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    • 2013
  • This study identifies the influences of appearance-related consumption behavior according to interpersonal relations and masculinity examined through amediated effect of appearance concerns based on a structural study method. Five hypotheses were established to verify the relationships of interpersonal relations, masculinity and appearance-related consumption behavior. Questionnaires were administered to 201 males in their 20s to 50s living in Daegu South Korea. The SPSS 20.0 package utilized for data analysis included frequency analysis, factor analysis, correlation analysis, regression analysis and Cronbach's ${\alpha}$. This study utilized an Amos 21.0 program, a Confirmative Factor Analysis(CFA)and a Structural Equation Modeling(SEM). The results of the study are as follows: First, the appearance concern showed a partial mediation effect between measurement variables that verified the causal relationship of the structural model. Second, interpersonal relations showed a positive influence on masculinity. Third, masculinity showed a positive influence on the appearance concern. Fourth, masculinity had a positive influence on appearance-related consumption behavior. Fifth, interpersonal relations did not have a significant influence on appearance-related consumption behavior. Sixth, the appearance concern showed a positive influence on appearance-related consumption behavior. The findings of this study can influence a market segmentation strategy by predicting future emotional and new consumption markets strategies for male's appearance-related product.

The Influence of Global Citizenship Consciousness of University Students Majoring in Business Administration on Human Rights Sensibility

  • LEE, Hyo-Young
    • East Asian Journal of Business Economics (EAJBE)
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    • 제9권1호
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    • pp.71-81
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    • 2021
  • Purpose - This study verified the mediating effect of volunteer activities in the influence of global citizenship consciousness on human rights sensitivity of university students majoring in business administration. Research design, data, and methodology - The survey was conducted on 172 4-year college students in G City, Korea. SPSS 23.0 program was used to perform frequency analysis, descriptive statistics analysis, correlation analysis, reliability analysis, and multiple regression analysis. In addition, path analysis was conducted to confirm the mediating effect of volunteer activities. Result - First, the "justice domain" had a statistically significant effect on human rights sensitivity. Second, the "cognitive domain" had a positive and significant effect on volunteer participation. Third, the volunteer participation of university students majoring in business administration had a positive and significant effect on human rights sensitivity. Fourth, in the relationship between global citizenship consciousness and human rights sensibility of university students, volunteer participation had a partial mediating effect. Conclusion - The period of college enrollment is an important time to establish life goals and strategies as adults. Therefore, if the university environment is built to grow into a healthy global citizen, it will help to cultivate global competence and the "sensitivity to human rights" that is more emphasized in the era of the 4th industrial revolution.

Wavelength selection by loading vector analysis in determining total protein in human serum using near-infrared spectroscopy and Partial Least Squares Regression

  • Kim, Yoen-Joo;Yoon, Gil-Won
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.4102-4102
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    • 2001
  • In multivariate analysis, absorbance spectrum is measured over a band of wavelengths. One does not often pay attention to the size of this wavelength band. However, it is desirable that spectrum is measured at only necessary wavelengths as long as the acceptable accuracy of prediction can be met. In this paper, the method of selecting an optimal band of wavelengths based on the loading vector analysis was proposed and applied for determining total protein in human serum using near-infrared transmission spectroscopy and PLSR. Loading vectors in the full spectrum PLSR were used as reference in selecting wavelengths, but only the first loading vector was used since it explains the spectrum best. Absorbance spectra of sera from 97 outpatients were measured at 1530∼1850 nm with an interval of 2 nm. Total protein concentrations of sera were ranged from 5.1 to 7.7 g/㎗. Spectra were measured by Cary 5E spectrophotometer (Varian, Australia). Serum in the 5 mm-pathlength cuvette was put in the sample beam and air in the reference beam. Full spectrum PLSR was applied to determine total protein from sera. Next, the wavelength region of 1672∼1754 nm was selected based on the first loading vector analysis. Standard Error of Cross Validation (SECV) of full spectrum (1530∼l850 nm) PLSR and selected wavelength PLSR (1672∼1754 nm) was respectively 0.28 and 0.27 g/㎗. The prediction accuracy between the two bands was equal. Wavelength selection based on loading vector in PLSR seemed to be simple and robust in comparison to other methods based on correlation plot, regression vector and genetic algorithm. As a reference of wavelength selection for PLSR, the loading vector has the advantage over the correlation plot since the former is based on multivariate model whereas the latter, on univariate model. Wavelength selection by the first loading vector analysis requires shorter computation time than that by genetic algorithm and needs not smoothing.

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Main Factors affecting on Photosynthesis under shading condition of Codonopsis lanceolata Trautv. (차광조건에서 더덕의 광합성속도에 미치는 주요 요인)

  • Lee, Chung-Yeol
    • Korean Journal of Medicinal Crop Science
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    • 제10권5호
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    • pp.409-414
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    • 2002
  • This study was carried out in order to investigate the main traits related to photosynthesis by multiple regression analysis. The photosynthetic rate showed more significant increase in shaded leaves of plant than in non-shaded leaves of plant after shading treatment for 44 days. Negative correlation was found between net photosynthetic rate and SLA(specific leaf area). However, the values obtained from the linear equation were different and were highly significance. From the above results, net photosynthetic rate of shading treatment is higher than that of control in the same SLA. We also found that there were correlation between stomatal conductance and SPAD as well as net photosynthetic rate and stomatal conductance. By the multiple regression analysis, SPAD value, SLA, stomatal conductance and leaf water potential showed a higher correlation coefficient of $r=0.848^{**}$. From the results, out of 4 factors(SPAD value, SLA, stomatal conductance, leaf water potential) stomatal conductance was main factor in the view points of partial regressing.

Evaluation of Drainage by Near Infrared Spectroscopy

  • Takamura, Hitoshi;Miyamoto, Hiroko;Mori, Yoshikuni;Matoba, Teruyoshi
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1271-1271
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    • 2001
  • Water pollutants in drainage mainly consist of organic compounds. Hence, total organic carbon (TOC), chemical oxygen demand (COD), and biochemical oxygen demand (BOD) were generally used as the indices of pollution. However, these values are determined by special analyzer (TOC), titration method (COD), or microbe culture (BOD). Therefore, the development of simple and easy methods for the determination of water pollution is required. The authors reported the evaluation of water pollution by near infrared (NIR) spectroscopy in a model system with food components (Takamura et al. (200) Near Infrared Spectroscopy: Proceedings of 9th International Conference, pp. 503-507). In this study, the relationship between NIR spectra and drainage was investigated in order to develop a method for evaluation of drainage by NIR. Drainage was obtained in Nara Purification Center. The ranges of TOC, COD, and BOD were 0-130, 0-100 and 0-200, respectively. NIR transmittance spectra were recorded on NIR Systems Model 6250 Research Composition Analyzer in the wavelength range of 680-1235 and 1100-2500 nm with a quartz cell (light path: 0.5, 1, 2, 4 and 10mm) at 10-40. Statistical analysis was performed using NSAS program. A partial least squares (PLS) regression analysis was used for calibration. As the result, a good correlation between the raw NIR spectra and OC was obtained in the calibration. The best light path was 10 and 0.5mm in the wavelength range of 680-1235 and 110-2500nm, respectively. In the calibration, correlation coefficients(R) were 096-0.97 in the both range. In the prediction, however, a good correlation (R=0.89-0.96) was obtained only in the range of 6801235 nm, Similar results were obtained in the cases of COD and BOD. These results suggest the possibility that NIR spectroscopy can be used to evaluate drainage.

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Effect of Soil Reinforcement on Shear Strength by Pennisetum alopecuroides and Miscanthus sinensis Roots on Loamy Sand at River Banks (하천제방 양질사토에 대한 수크령과 억새 뿌리의 토양전단강도 보강효과)

  • Dang, Ji-Hee;Cho, Yong-Hyeon;Lee, Chun-Seok
    • Journal of the Korean Society of Environmental Restoration Technology
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    • 제20권2호
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    • pp.79-91
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    • 2017
  • This study was conducted to find out the physical properties and soil shearing strength reinforcement effect of herbaceous plants for the slope revegetation works. Two native plants(Pennisetum alopecuroides and Miscanthus sinensis) were used for this experiment, because they have excellent seed germination rates without preconditioning, and grow naturally around rivers. To identify the physical properties, the partial dry weight of plants were investigated. To identify the soil shearing strength reinforcement effect, the respective soil shearing strengths of the control soils, Pennisetum alopecuroides, Miscanthus sinensis samples were measured. Also, we did a correlation analysis to examine the relation of shearing strength to plant features. The results are summarized as follows: 1. The average dry weight of Pennisetum alopecuroides samples consists of 52.36% above ground and 47.64% at root. And in dry weight, 78.24% of it's root distributes within 10 cm in soil depth. Meanwhile the average dry weight of Miscanthus sinensis samples consists of 52.91% above ground and 47.09% at root. And in dry weight, 82.95% of it's root distributes within 10 cm in soil depth. 2. The results of correlation analysis showed that for both Pennisetum alopecuroides and Miscanthus sinensis, it could not be said that there was any correlation between shearing strength and plant characteristics, and statistically they were not meaningful. 3. In the shearing strength test with control soils, Pennisetum alopecuroides, Miscanthus sinensis as subjects, the differences in shearing strength measurement results were modest, and the order was shown as control soils < Pennisetum alopecuroides < Miscanthus sinensis, so the soil shearing strength reinforcement effect by the Pennisetum alopecuroides and the Miscanthus sinensis on loamy sand at river banks surface was confirmed.