• Title/Summary/Keyword: Predictor Selection

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The Predictability of Emotional Labor Dimensions on Job Stress, Customer Orientation, and Job Satisfaction

  • Yoh, Eun-Ah
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.6
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    • pp.601-615
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    • 2012
  • In this study, two representative measures in the job-focused approach and the employee-focused approach of emotional labor are explored to examine dimensionality and the predictability of each emotional labor measure on key consequences that include job stress, customer orientation, and job satisfaction. Data obtained from 193 department store apparel saleswomen were submitted for analysis. The results show that the emotional dissonance and emotional effort of the Kruml and Geddes measure are good predictors for job stress, customer orientation, and job satisfaction. In a test of the Davies measure, job stress is predicted by emotional dissonance and frequency while customer orientation is predicted by duration, variety, and the frequency of emotional expression in jobs. Duration is also a key predictor for job satisfaction. The result confirm the dimensionality and predictability of two emotional labor measures as well as suggests the need for the careful selection and refinement of appropriate measures according to consequences.

Adaptive Predictive Image Coding of Variable Block Shapes Based on Edge Contents of Blocks (경계의 방향성에 근거를 둔 가변블록형상 적응 예측영상부호화)

  • Do, Jae-Su;Kim, Ju-Yeong;Jang, Ik-Hyeon
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.7
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    • pp.2254-2263
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    • 2000
  • This paper proposes an efficient predictive image-compression technique based on vector quantization of blocks of pels. In the proposed method edge contents of blocks control the selection of predictors and block shapes as well. The maximum number of bits assigned to quantizers has been in creased to 3bits/pel from 1/5bits/pel, the setting employed by forerunners in predictive vector quantization of images. This increase prevents the saturation in SNR observed in their results in high bit rates. The variable block shape is instrumental in eh reconstruction of edges. The adaptive procedure is controlled by means of he standard deviation ofp rediction errors generated by a default predictor; the standard deviation address a decision table which can be set up beforehand. eh proposed method is characterized by overall improvements in image quality over A-VQ-PE and A-DCT VQ, both of which are known for their efficient use of vector quantizers.

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Determinants of Academic Achievement Among High School Seniors

  • Moon, Hyuk-Jun
    • International Journal of Human Ecology
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    • v.13 no.1
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    • pp.17-28
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    • 2012
  • This study determines what affects the academic achievement of senior high school students in the context of the individual, family, and school environment. The sample selection consisted of 1484 high school seniors in Korea. The following are the results of this study: First, female students scored higher in academic achievement than male students. Second, academic achievement by male students was related to levels of school satisfaction, academic motivation, and family strength, while academic achievement by female students was related to levels of parents' education, family income, ego-resiliency, school satisfaction, academic motivation, and family strength. Third, the most important predictor of academic achievement for male and female students is academic motivation, followed by school satisfaction. The present study highlighted the necessity to develop academic achievement improvement programs appropriate for both genders of senior high school students.

Long-Term Forecasting by Wavelet-Based Filter Bank Selections and Its Application

  • Lee, Jeong-Ran;Lee, You-Lim;Oh, Hee-Seok
    • The Korean Journal of Applied Statistics
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    • v.23 no.2
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    • pp.249-261
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    • 2010
  • Long-term forecasting of seasonal time series is critical in many applications such as planning business strategies and resolving possible problems of a business company. Unlike the traditional approach that depends solely on dynamic models, Li and Hinich (2002) introduced a combination of stochastic dynamic modeling with filter bank approach for forecasting seasonal patterns using highly coherent(High-C) waveforms. We modify the filter selection and forecasting procedure on wavelet domain to be more feasible and compare the resulting predictor with one that obtained from the wavelet variance estimation method. An improvement over other seasonal pattern extraction and forecasting methods based on such as wavelet scalogram, Holt-Winters, and seasonal autoregressive integrated moving average(SARIMA) is shown in terms of the prediction error. The performance of the proposed method is illustrated by a simulation study and an application to the real stock price data.

Cumulus and granulosa cell biomarkers: a good predictor for successful oocyte and embryo developmental competence in human in vitro fertilization

  • Yu, Eun Jeong;Lyu, Sang Woo
    • Journal of Genetic Medicine
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    • v.18 no.1
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    • pp.1-7
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    • 2021
  • The oocyte quality is of great importance in infertility as it reflects the follicle developmental potential and further affects the embryo development, clinical pregnancy outcomes. The analysis of gene expression in somatic cells is an important study to better clinical in vitro fertilization (IVF) outcomes in embryo selection reflecting the appropriate communication between the oocyte and somatic cells. Specifically, somatic cell transcriptomic technology can help assess biomarkers of oocyte and embryo ability. The present article aims to overview the basic aspect of folliculogenesis and review studies involving changes in candidate gene expression of cumulus or granulosa cell related to clinical outcomes in human IVF.

A fuzzy grey predictor for civil frame building via Lyapunov criterion

  • Chen, Z.Y.;Meng, Yahui;Wang, Ruei-Yuan;Chen, Timothy
    • Computers and Concrete
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    • v.30 no.5
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    • pp.357-367
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    • 2022
  • In this paper, we propose an efficient control method that can be transformed into a general building control problem for building structure control using these reliability criteria. To facilitate the calculation of controller H∞, an efficient solution method based on Linear Matrix Inequality (LMI) is introduced, namely H∞-based LMI control. In addition, a self-tuning predictive grey fuzzy controller is proposed to solve the problem caused by wrong parameter selection to eliminates the effect of dynamic coupling between degrees of freedom (DOF) in Self-Tuning Fuzzy Controllers. We prove stability using Lyapunov's stability theorem. To check the applicability of the proposed method, the proposed controller is applied and the control characteristics are determined. The simulation assumes system uncertainty in the controller design and emphasizes the use of acceleration feedback as a practical consideration. Simulation results show that the performance of the proposed controller is impressive, stable, and consistent with the performance of LMI-based methods. Therefore, an effective control method is suitable for seismic reinforcement of civil buildings.

Filter Cache Predictor using Mode Selection Bit (모드 선택 비트를 활용한 필터 캐시 예측 모델)

  • Kwak, Jong-Wook;Choi, Ju-Hee;Jhang, Seong-Tae;Jhon, Chu-Shik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.493-495
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    • 2008
  • 캐시 에너지의 소비 전력을 줄이기 위해 필터 캐시가 제안되었다. 필터 캐시의 사용으로 인해 많은 전력 사용 감소 효과를 가져왔으나, 상대적으로 시스템 성능도 더불어 감소하게 되었다. 필터 캐시의 사용으로 인한 성능 감소를 최소화하기 위해서, 본 논문에서는 기존에 제안된 주요 필터 캐시 예측 모델들을 소개하며, 각각의 방식에 있어서의 핵심 특징 및 해당 방식의 문제점을 분석한다. 이를 바탕으로 본 논문에서는 모드 선택 비트를 활용하는 개선된 형태의 새로운 필터 캐시 예측기 모델을 제안한다. 제안된 방식은 MSB라 불리는 참조 비트를 고안하여, 이를 기존의 필터캐시와 BTB에 새롭게 활용한다. 실험 결과, 제안된 방식은 기존 방식 대비, 전력 소모량 시간 지연면에서 평균 5%의 성능 향상을 가져 왔다.

Estimating Stature and Weight from Anthropometry for the Elderly Who are Limited in Mobility (신체계측방법에 의한 거동이 제한된 노인들의 신장과 체중추정)

  • 한경희
    • Journal of Nutrition and Health
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    • v.28 no.1
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    • pp.71-83
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    • 1995
  • The purpose of the study was to develop generalized equations for estimating stature and weight for the nonambulatory elderly persons. Height weight recumbent knee height total ann length, midarm, waist and calf circumferences, triceps and subscapular skinfolds were measured from over 60 years old 315 ambulatory elderly. The equations to predict stature and weight were derived from participants in the validation sample and were applied to the participants in the cross-validation to test the accuracy and validity of equations. Stature and weight were significantly and negatively associated with age of women and similar patterns observed in men but associated to a slight degree. Knee height and total arm length were highly correlated with stature but the majority of the variances in stature was accounted for by knee height for both the men and women. In men, waist circumference was the most significantly correlated with weight and am, calf circumferences and so forth. But in women arm circumference was the highest then waist and calf circumference in order. The possible predictor variables to estimate of stature were knee height total arm length and age for both elderly men and women. Predictor variables to estimate of weight were recumbent measures of waist am, calf circumferences and knee height for both sexes. Inclusion of skinfold thickness measurements did not improve the prediction power of estimation for weight. When both equations developed from the present study and Chumlea's study were applied to cross-valida-tions samples, the equations derived from present study showed better accuracy and validity. The presentation of prediction equations using two, three, or four recommended measurements allows the selection of an equation based upon the measurements that are possible to collect on an individual basis.

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Protection Motivation Theory and Rabies Protective Behaviors Among School Students in Chonburi Province, Thailand

  • Laorujisawat, Mayurin;Wattanaburanon, Aimutcha;Abdullakasim, Pajaree;Maharachpong, Nipa
    • Journal of Preventive Medicine and Public Health
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    • v.54 no.6
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    • pp.431-440
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    • 2021
  • Objectives: The aim of this study was to predict rabies protective behaviors (RPB) based on protection motivation theory (PMT) among fourth-grade students at schools in Chonburi Province, Thailand. Methods: This cross-sectional study was conducted from December 2020 to February 2021. A multistage sampling technique was used for sample selection. The questionnaire was divided into socio-demographic data and questions related to PMT and RPB. Descriptive statistical analysis was conducted using the EpiData program and inferential statistics, and the results were tested using the partial least squares model with a significance level of less than 5%. Results: In total, 287 subjects were included, of whom 62.4% were girls and 40.4% reported that YouTube was their favorite media platform. Most participants had good perceived vulnerability, response efficacy, and self efficacy levels related to rabies (43.9, 68.6, and 73.2%, respectively). However, 54.5% had only fair perceived severity levels related to rabies. Significant positive correlations were found between RPB and the PMT constructs related to rabies (β, 0.298; p<0.001), and the school variable (S4) was also a predictor of RPB (β, -0.228; p<0.001). Among the PMT constructs, self efficacy was the strongest predictor of RPB (β, 0.741; p<0.001). Conclusions: PMT is a useful framework for predicting RPB. Future RPB or prevention/protection intervention studies based on PMT should focus on improving self efficacy and response efficacy, with a particular focus on teaching students not to intervene with fighting animals. The most influential PMT constructs can be used for designing tools and implementing and evaluating future educational interventions to prevent rabies in children.

An Efficient Competition-based Skip Motion Vector Coding Scheme Based on the Context-based Adaptive Choice of Motion Vector Predictors (효율적 경쟁 기반 스킵모드 부호화를 위한 적응적 문맥 기반 움직임 예측 후보 선택 기법)

  • Kim, Sung-Jei;Kim, Yong-Goo;Choe, Yoon-Sik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.5C
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    • pp.464-471
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    • 2010
  • The demand for high quality of multimedia applications, which far surpasses the rapid evolution of transmission and storage technologies, makes better compression coding capabilities ever increasingly more important. In order to provide enhanced video coding performance, this paper proposes an efficient competition-based motion vector coding scheme. The proposed algorithm adaptively forms the motion vector predictors based on the contexts of scene characteristics such as camera motion and nearby motion vectors, providing more efficient candidate predictors than the previous competition-based motion vector coding schemes which resort to the fixed candidates optimized by extensive simulations. Up to 200% of compression gain was observed in the experimental results for the proposed scheme applied to the motion vector selection for skip mode processing.