• 제목/요약/키워드: Classical correlation

검색결과 147건 처리시간 0.027초

뇌졸중 영향 척도 3.0의 신뢰도와 타당도 (Reliability and Validity of Stroke Impact Scale 3.0)

  • 박은영;최유임;김은주
    • 한국콘텐츠학회논문지
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    • 제19권8호
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    • pp.293-302
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    • 2019
  • 이 연구의 목적은 Stroke Impact Scale 3.0(SIS 3.0)의 신뢰도와 타당도를 조사하는 것이었다. 연구에서 SIS 3.0은 125명의 뇌졸중 환자를 대상으로 측정하였다(평균 = 62.7, 표준 편차 = 9.43). SIS 3.0 하위 영역들 간에 상관 분석을 통해 구성타당도를 확인하였고, MBI(Modified Barthel Index)와 K-MMSE(Mini-Mental State Examination-Korean)간의 상관을 분석하여 수렴타당도를 조사하였다. 각 항목의 특성은 고전적 문항 이론을 바탕으로 내적 합치도와 문항 변별도를 분석하였다. 이 연구를 통해 SIS 3.0의 구성타당도와 수렴타당도가 확인되었다. 감정 영역에 포함된 i 항목은 문항 변별도가 낮았지만 이 항목을 제외하고는 모두 변별도가 높았다. 하위 영역의 문항내적합치도는 0.858~0.941로 나타났다. 이 연구는 지역사회에 거주하는 뇌졸중 환자를 대상으로 임상 현장에서 SIS 3.0 사용을 위한 신뢰도와 타당도를 확인하였다는데 그 의의가 있다.

DATCN: Deep Attention fused Temporal Convolution Network for the prediction of monitoring indicators in the tunnel

  • Bowen, Du;Zhixin, Zhang;Junchen, Ye;Xuyan, Tan;Wentao, Li;Weizhong, Chen
    • Smart Structures and Systems
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    • 제30권6호
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    • pp.601-612
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    • 2022
  • The prediction of structural mechanical behaviors is vital important to early perceive the abnormal conditions and avoid the occurrence of disasters. Especially for underground engineering, complex geological conditions make the structure more prone to disasters. Aiming at solving the problems existing in previous studies, such as incomplete consideration factors and can only predict the continuous performance, the deep attention fused temporal convolution network (DATCN) is proposed in this paper to predict the spatial mechanical behaviors of structure, which integrates both the temporal effect and spatial effect and realize the cross-time prediction. The temporal convolution network (TCN) and self-attention mechanism are employed to learn the temporal correlation of each monitoring point and the spatial correlation among different points, respectively. Then, the predicted result obtained from DATCN is compared with that obtained from some classical baselines, including SVR, LR, MLP, and RNNs. Also, the parameters involved in DATCN are discussed to optimize the prediction ability. The prediction result demonstrates that the proposed DATCN model outperforms the state-of-the-art baselines. The prediction accuracy of DATCN model after 24 hours reaches 90 percent. Also, the performance in last 14 hours plays a domain role to predict the short-term behaviors of the structure. As a study case, the proposed model is applied in an underwater shield tunnel to predict the stress variation of concrete segments in space.

Prediction of tenderness in bovine longissimus thoracis et lumborum muscles using Raman spectroscopy

  • Maria Sumampa Coria;Maria Sofia Castano Ledesma;Jorge Raul Gomez Rojas;Gabriela Grigioni;Gustavo Adolfo Palma;Claudio Dario Borsarelli
    • Animal Bioscience
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    • 제36권9호
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    • pp.1435-1444
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    • 2023
  • Objective: This study was conducted to evaluate Raman spectroscopy technique as a noninvasive tool to predict meat quality traits on Braford longissimus thoracis et lumborum muscle. Methods: Thirty samples of muscle from Braford steers were analyzed by classical meat quality techniques and by Raman spectroscopy with 785 nm laser excitation. Water holding capacity (WHC), intramuscular fat content (IMF), cooking loss (CL), and texture profile analysis recording hardness, cohesiveness, and chewiness were determined, along with fiber diameter and sarcomere length by scanning electron microscopy. Warner-Bratzler shear force (WBSF) analysis was used to differentiate tender and tough meat groups. Results: Higher values of cohesiveness and CL, together with lower values of WHC, IMF, and shorter sarcomere were obtained for tender meat samples than for the tougher ones. Raman spectra analysis allows tender and tough sample differentiation. The correlation between the quality attributes predicted by Raman and the physical measurements resulted in values of R2 = 0.69 for hardness and 0,58 for WBSF. Pearson's correlation coefficient of hardness (r = 0.84) and WBSF (r = 0.79) parameters with the phenylalanine Raman signal at 1,003 cm-1, suggests that the content of this amino acid could explain the differences between samples. Conclusion: Raman spectroscopy with 785 nm laser excitation is a suitable and accurate technique to identify beef with different quality attributes.

Robust Sliding Mode Controller Design for the Line-of-Sight Stabilization

  • Kim, Moon-Sik;Yun, Jung-Joo;Yoo, Gi-Sung;Lee, Min-Cheol
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.614-619
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    • 2004
  • The line-of-sight (LOS) stabilization system is a precision electro-mechanical gimbals assembly for rejecting vibration to isolate the load from its environment and point toward the target in a desired direction. This paper describes the design of gimbals system to reject the disturbance and to improve stabilization. To generate movement commands for the actuators in the stabilization system, the control system uses a sensor of angular rotation. The controller is a DSP with transducer and actuator interfaces. Unknown parameters of the gimbals are estimated using the signal compression method. The cross-correlation coefficient between the impulse response from the assumed model and the one from model of the gimbals is used to obtain the better estimation. And SMCPE (sliding mode control with perturbation estimation) is used to control the gimbals. SMCPE provides robustness of the control against the modeling deficiencies and unknown disturbances. In order to compare the performance of SMCPE with the classical SMC, a sample test result is presented.

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한국어판 알츠하이머병 지식 측정도구의 신뢰도와 타당도 (Psychometric Properties of the Alzheimer's Disease Knowledge Scale-Korean Version)

  • 김은주;정지영
    • 대한간호학회지
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    • 제45권1호
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    • pp.107-117
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    • 2015
  • Purpose: The purpose of this study was to evaluate the psychometric properties of the Korean version of the Alzheimer's Disease Knowledge Scale (ADKS-K) to determine its applicability to Korean adults. Methods: Cross-cultural validity was performed according to Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN). The Kuder-Richardson Formula 20 for internal consistency and Intraclass Correlation Coefficient (ICC) for test-retest reliability were conducted. Content validity, criterion related validity and construct validity were evaluated. The Classical Test Theory (CTT) model and the Item Response Theory (IRT) model were applied in performing the item analysis. Results: The KR 20 was .71, and the ICC was .90, indicating that the ADKS-K has internal consistency and stability reliability. Thirty items of the ADKS-K had significant Content Validity Ratio (CVR) values, i.e., mean of 0.82 and range of 0.60~1.00. Mean item difficulty and discrimination indices calculated by TestAn program were 0.63 and 0.23, respectively. Mean item difficulty and discrimination indices calculated by BayesiAn program were -0.60 and 0.77, respectively. These tests indicate that ADKS-K has an acceptable level of difficulty and discriminating efficiency. Conclusion: Results suggest that ADKS-K has the potential to be a proper instrument for assessing AD knowledge in Korean adults.

Gas detonation cell width prediction model based on support vector regression

  • Yu, Jiyang;Hou, Bingxu;Lelyakin, Alexander;Xu, Zhanjie;Jordan, Thomas
    • Nuclear Engineering and Technology
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    • 제49권7호
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    • pp.1423-1430
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    • 2017
  • Detonation cell width is an important parameter in hydrogen explosion assessments. The experimental data on gas detonation are statistically analyzed to establish a universal method to numerically predict detonation cell widths. It is commonly understood that detonation cell width, ${\lambda}$, is highly correlated with the characteristic reaction zone width, ${\delta}$. Classical parametric regression methods were widely applied in earlier research to build an explicit semiempirical correlation for the ratio of ${\lambda}/{\delta}$. The obtained correlations formulate the dependency of the ratio ${\lambda}/{\delta}$ on a dimensionless effective chemical activation energy and a dimensionless temperature of the gas mixture. In this paper, support vector regression (SVR), which is based on nonparametric machine learning, is applied to achieve functions with better fitness to experimental data and more accurate predictions. Furthermore, a third parameter, dimensionless pressure, is considered as an additional independent variable. It is found that three-parameter SVR can significantly improve the performance of the fitting function. Meanwhile, SVR also provides better adaptability and the model functions can be easily renewed when experimental database is updated or new regression parameters are considered.

Traditional Unani uses with multiple pharmacological activities of aril of Myristica fragrans (Mace)

  • Sultana, Arshiya;Najeeya, Abdul G.F.;Anjum, Amera
    • 셀메드
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    • 제8권2호
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    • pp.6.1-6.7
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    • 2018
  • Myristica fragrans Houtt is commonly known as "nutmeg", it produces two spices: mace and nutmeg. Mace and nutmeg are strongly aromatic in nature and known as jowzabuwa and javetri/bisbasah respectively in the Unani system of medicine. M. fragrans was used as early as 700 BCE by Indian, however, ancient Greeks and Romans were not aware of it. Later Arab traders introduce M. fragrans into Europe followed by Portuguese and Dutch merchants. Mace is very useful medicine in the Unani system of medicine because of its therapeutic uses in salasal al-bawl (urinary incontinence), amrad-i-qalb (cardiac diseases), amrad-i-dimagh (central nervous system), zo'fe bah (sexual debility), amrad al-rahim (uterine diseases), and su-i-hazim (indigestion). The most important constituents of mace essential oil are ${\alpha}-pinene$, sabinene, myrcene, limonene, 1,8-cineole, terpinen-4-ol, myristicin, ${\gamma}-terpinene$, and safrole. The seed and mace extract of nutmeg contain quite high tannins, flavonoids, and terpenoids. Mace has pharmacological functions such as antibacterial and antifungal, anti-inflammatory, analgesic, antidiarrhea, antioxidant, chemoprotective, neuropharmacologic, and antidiabetic properties. To explore the correlation between the traditional uses and the same proven by recent researches, a comprehensive review is highlighted in this paper. Further, pharmacological activities which are not reported in classical texts are also discussed.

얼굴의 조형적 특성에 따른 유형 분석 (An Analysis According to the Shape on Formative Attributes of a Face)

  • 김애경;이경희
    • 한국의류산업학회지
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    • 제7권6호
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    • pp.650-656
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    • 2005
  • The objective of this study is to analyze the formative attributes of face by measuring the shape and features of face. The faces of women in 20's were taken by digital camera and measured, then it has conducted a statistical analysis using a SPSS for factor analysis, correlation and cluster analysis. The findings are that it is consisted of six(6) different factors and it is responsible for 73.93%. In Factor 1 and Factor 2, it has explained the most significant factor to determine the shape of face. The result on cluster analysis is that it is classified into 5 groups and it is as follows. Attributes of each group is that Group 1 has a wide and long forehead, small and longish chin-line and chubby cheeks that represent polished and modern images, while Group 2 has small and longish forehead and chin-line that represent classical and mature images. On the other hand, Group 3 has a narrow forehead, small and longish chin-line and upward-style eyebrows that represents provocative images, whereas Group 4 has a shaped style that represent intellectual images and Group 5 has small and longish forehead and chin-line and cheekbones that represent polished and cute images.

CFD와 Kirchhoff 방법의 결합을 이용한 로터의 고속 충격소음 해석 (Rotor High-Speed Noise Prediction with a Combined CFD-Kirchhoff Method)

  • 이수갑;윤태석
    • 소음진동
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    • 제6권5호
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    • pp.607-616
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    • 1996
  • A combined computational fluid dynamics(CFD)-Kirchhoff method is presented for predicting high-speed impulsive noise generated by a hovering blade. Two types of Kirchhoff integral formula are used; one for the classical linear Kirchhoff formulation and the other for the nonlinear Kirchhoff formulation. An Euler finite difference solver is solved first to obtain the flow field close to the blade, and then this flow field is used as an input to a Kirchhoff formulation to predict the acoustic far-field. These formulas are used at Mach numbers of 0.90 and 0.95 to investigate the effectiveness of the linear and nonlinear Kirchhoff formulas for delocalized flow. During these calculiations, the retarded time equation is also carefully examined, in particular, for the cases of the control surface located outside of the sonic cylinder, where multiple roots are obtained. Predicted results of acoustic far-field pressure with the linear Kirchhoff formulation agree well with experimental data when the control surface is at the certain location(R=1.46), but the correlation is getting worse before or after this specific location of the control surface due to the delocalized nonlinear aerodynamic flow field. Calculations based on the nonlinear Kirchhoff equation using a linear sonic cylinder as a control surface show a reasonable agreement with experimental data in negative amplitudes for both tip Mach numbers of 0.90 and 0.95, except some computational integration problems over a shock. This concliudes that a nonlinear formulation is necessary if the control surface is close to the blade and the flow is delocalized.

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Prediction of fly ash concrete compressive strengths using soft computing techniques

  • Ramachandra, Rajeshwari;Mandal, Sukomal
    • Computers and Concrete
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    • 제25권1호
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    • pp.83-94
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    • 2020
  • The use of fly ash in modern-day concrete technology aiming sustainable constructions is on rapid rise. Fly ash, a spinoff from coal calcined thermal power plants with pozzolanic properties is used for cement replacement in concrete. Fly ash concrete is cost effective, which modifies and improves the fresh and hardened properties of concrete and additionally addresses the disposal and storage issues of fly ash. Soft computing techniques have gained attention in the civil engineering field which addresses the drawbacks of classical experimental and computational methods of determining the concrete compressive strength with varying percentages of fly ash. In this study, models based on soft computing techniques employed for the prediction of the compressive strengths of fly ash concrete are collected from literature. They are classified in a categorical way of concrete strengths such as control concrete, high strength concrete, high performance concrete, self-compacting concrete, and other concretes pertaining to the soft computing techniques usage. The performance of models in terms of statistical measures such as mean square error, root mean square error, coefficient of correlation, etc. has shown that soft computing techniques have potential applications for predicting the fly ash concrete compressive strengths.