• Steel and Composite Structures
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• v.48 no.6
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• pp.625-639
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• 2023

In this paper, a Taguchi-based finite element method (FEM) has been proposed and implemented to assess optimal design parameters for minimum static deflection in laminated composite plate. An orthodox mathematical model (based on higher-order shear deformation plate theory and Green-Lagrange geometrical nonlinearity) has been used to compute the nonlinear central deflection values of laminated composite plates according to Taguchi design of experiment via a self-developed MATLAB computer code. The lay-up scheme, aspect ratio, thickness ratio and the support conditions of the laminated composite plate structure were designated as the governable design parameters. Analysis of variance (ANOVA) is used to investigate the effect of diverse control factors on the nonlinear static responses. Moreover, regression model is developed for predicting the desired responses. The ANOVA revealed that the lay-up scheme alongside the support condition plays vital role in minimizing the central deflection values of laminated composite plate under uniformly distributed load. The conformity test results of Taguchi analysis are also in good agreement with the numerical experimentation results.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.251-260
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• 2022

The goal of this study is to see if the Coronavirus affects the Top 10 most valuable brands in various ASEAN countries (Malaysia, Singapore, Indonesia, and Vietnam) and industry types differently. The data for this study was collected using a secondary data method (content analysis). Based on their annual reports from 2019 to 2021, the researchers examined the brand equity of the Top 10 most valued brands in each of the four ASEAN countries. IBM Statistical Package for Social Science (SPSS) Statistics for Windows was used to examine the data. Frequency, an independent T-test, and one-way analysis of variance tests were also applied to the data. The findings revealed considerable disparities between the Top 10 most valued ASEAN country brands in 2019-2020 and 2019-2021 due to the impact of the Coronavirus. Due to the influence of the Coronavirus, the data revealed no significant differences between industry categories. Future studies could look into the disparities between the most valuable brands and the influence of the Coronavirus over a longer period of time and include a larger number of firms and countries. Brand managers in ASEAN countries' Top 10 most valuable companies must carefully manage their brands to preserve brand life and reduce the impact of future global pandemics.

• Educational Technology International
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• v.25 no.2
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• pp.369-392
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• 2024

This study was to confirm whether students' evaluation of online teaching effectiveness (SEOTE) was significantly predicted by Instructional Material Motivation Survey (IMMS) and Literacy of Learning Management System (LLMS). It was also to examine whether LLMS had a significant mediating effect between IMMS and SEOTE. Pearson correlation, multiple-regression, and mediated regression analysis were used. Participants were online college students in South Korea. A total of 210 students meaningfully responded to the Google Drive web-survey via the internet of three scales: IMMS, LLMS, and SEOTE. This study revealed that motivation had a significant effect on SEOTE (r=.78, p<.01). There was a significant positive correlation between LLMS and SEOTE (r=.64, p<.01). In addition, motivation and LLMS were significant predictors that influenced the prediction of SEOTE. The overall model of IMMS and LLMS significantly predicted SEOTE, explaining 31.4% variance in SEOTE. This study used mediated regression analysis to determine whether there was a significant mediating effect of LLMS between IMMS and SEOTE. As LLMS was added between IMMS and SEOTE, the β coefficient of motivation was decreased. Models of IMMS and LLMS significantly influenced the prediction of SEOTE. LLMS showed a significant mediating effect by influencing the prediction of SEOTE by IMMS according to the method of Baron and Kenny (1986). Consequently, meaningful parameter of LLMS showed a significant indirect or mediating effect with IMMS in predicting SEOTE.

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.8
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• pp.1096-1104
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• 2010

This bio-acoustic study was aimed at classifying the different porcine wasting diseases through sound analysis with emphasis given to differences in the acoustic footprints of coughs in porcine circo virus type 2 (PCV2), porcine reproductive and respiratory syndrome (PRRS) virus and Mycoplasma hyopneumoniae (MH) - infected pigs from a normal cough. A total of 36 pigs (Yorkshire${\times}$Landrace${\times}$Duroc) with average weight ranging between 25-30 kg were studied, and blood samples of the suspected infected pigs were collected and subjected to serological analysis to determine PCV2, PRRS and MH. Sounds emitted by coughing pigs were recorded individually for 30 minutes depending on cough attacks by a digital camcorder placed within a meter distance from the animal. Recorded signals were digitalized in a PC using the Cool Edit Program, classified through labeling method, and analyzed by one-way analysis of variance and discriminant analysis. Input features after classification showed that normal cough had the highest pitch level compared to other infectious diseases (p<0.002) but not statistically different from PRRS and MH. PCV2 differed statistically (p<0.002) from the normal cough and PRRS but not from MH. MH had the highest intensity and all coughs differed statistically from each other (p<0.0001). PCV2 was statistically different from others (p<0.0001) in formants 1, 2, 3 and 4. There was no statistical difference in duration between different porcine diseases and the normal cough (p>0.6863). Mechanisms of cough sound creation in the airway could be used to explain these observed acoustic differences and these findings indicated that the existence of acoustically different cough patterns depend on causes or the animals' respiratory system conditions. Conclusively, differences in the status of lungs results in different cough sounds. Finally, this study could be useful in supporting an early detection method based on the on-line cough counter algorithm for the initial diagnosis of sick animals in breeding farms.

• Asian-Australasian Journal of Animal Sciences
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• v.12 no.8
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• pp.1171-1176
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• 1999

The precision and reliability of the Computer Image Analysis technique using a desk top computer for extracting information from carcass cross section scans was evaluated by the repeatability (R) and coefficient of variation (CV) for error variance. The 6th and 7th ribs cross section of carcasses from 55 fattened Japanese Black steers were used. The image analysis was conducted using a desk top computer (Macintosh-Apple Vision 1710 Display) connected to a scanner and an image capture camera. Two software applications, Adobe Photoshop and Mac Scope were used interchangeably. The information extracted and measured were individual muscle area, circumference length, long and short axes lengths, muscle direction; distance between any two muscle centers of gravity; cross section total area, lean, fat, and bone. The information was extracted after the processes of scanning, digitization, masking, muscle separation, and binarization. When using the Computer Image Analysis technique by desk top computer, proper digitization and selection of scanning resolution are very important in order to obtain accurate information. The R-values for muscle area, circumference, long and axes lengths, and direction ranged from 0.95 to 0.99, whereas those of the distance between any two muscle centers of gravity ranged from 0.96 to 0.99, respectively. For the cross section total area, lean, fat, and bone it ranged from 0.83 to 0.99. Excellent repeatability measurements were observed for muscle direction and distance between any two muscle centers of gravity. The results indicate that the Computer Image Analysis technique using a desk top computer for extracting information from carcass cross section is reliable and has high precision.

• The Korean Journal of Food And Nutrition
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• v.31 no.3
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• pp.395-399
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• 2018

The objective of this study is to analyze characteristics of high sodium intaker and factors affecting sodium intake using the Korea National Health and Nutrition Examination Survey (KNHANES). For this study we used two statistical methods, the cluster analysis and one-way analysis of variance (ANOVA). Cluster analysis was used to classify groups of sodium intake. For the analysis of the factors affecting sodium intake, we applied the ANOVA. The average daily intake for Korean is about 3,783 mg sodium per day; this amount is high than recommendation of the WTO. The demographic characteristics of people with higher sodium intake were found to be men more so women, and younger men with a higher education. Height, weight and size of a person's waistline were also characteristics of those with higher sodium intake. Also worker, smoker, those without a hypertension diagnosis, as well as those with a higher the drinking rate and higher eating out frequency tended to have a higher intake of sodium. The Ministry of Food and Drug Safety (MFDS) had established a plan to reduce sodium intake to 3,500 mg per day to 2020. To achieve this goal, it is necessary to educate people about high sodium intake, particularly those at higher risk, according to the results of this study. Through these efforts, the social costs of high sodium intake could be reduced, improving national health.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.4
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• pp.467-476
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• 2019

Objective: This research was conducted to study the genetic diversity in several Indonesian cattle breeds using microsatellite markers to classify the Indonesian cattle breeds. Methods: A total of 229 DNA samples from of 10 cattle breeds were used in this study. The polymerase chain reaction process was conducted using 12 labeled primers. The size of allele was generated using the multiplex DNA fragment analysis. The POPGEN and CERVUS programs were used to obtain the observed number of alleles, effective number of alleles, observed heterozygosity value, expected heterozygosity value, allele frequency, genetic differentiation, the global heterozygote deficit among breeds, and the heterozygote deficit within the breed, gene flow, Hardy-Weinberg equilibrium, and polymorphism information content values. The MEGA program was used to generate a dendrogram that illustrates the relationship among cattle population. Bayesian clustering assignments were analyzed using STRUCTURE program. The GENETIX program was used to perform the correspondence factorial analysis (CFA). The GENALEX program was used to perform the principal coordinates analysis (PCoA) and analysis of molecular variance. The principal component analysis (PCA) was performed using adegenet package of R program. Results: A total of 862 alleles were detected in this study. The INRA23 allele 205 is a specific allele candidate for the Sumba Ongole cattle, while the allele 219 is a specific allele candidate for Ongole Grade. This study revealed a very close genetic relationship between the Ongole Grade and Sumba Ongole cattle and between the Madura and Pasundan cattle. The results from the CFA, PCoA, and PCA analysis in this study provide scientific evidence regarding the genetic relationship between Banteng and Bali cattle. According to the genetic relationship, the Pesisir cattle were classified as Bos indicus cattle. Conclusion: All identified alleles in this study were able to classify the cattle population into three clusters i.e. Bos taurus cluster (Simmental Purebred, Simmental Crossbred, and Holstein Friesian cattle); Bos indicus cluster (Sumba Ongole, Ongole Grade, Madura, Pasundan, and Pesisir cattle); and Bos javanicus cluster (Banteng and Bali cattle).

• Journal of Korean Academy of Nursing
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• v.50 no.3
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• pp.444-458
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• 2020

Purpose: The purpose of this study was to develop the Job Esteem Scale for Korean Nurses (JES-KN) and verify its validity and reliability. Methods: Preliminary items were based on the attributes and indicators elicited from a concept analysis study on Korean nurses' job-esteem. The final preliminary tool for the main survey was confirmed through the content validity test of 10 experts and preliminary survey of 20 hospital nurses. The final preliminary scale was used on 350 hospital nurses in the scale testing phase for the main survey designed to test the validity and reliability of the scale. Results: The final scale consisted of 28 items and 6 factors, these factor explained 66.6% of the total variance. The correlation between the total score and factors ranged from .64 and .84, validating that each sub-factor is suitable to explain job esteem. The correlation coefficient between this scale and the Job Satisfaction Scale for Clinical Nurses ranged from .41 to .70, and the internal consistency for the scale using Cronbach's α for the total items was .94. Conclusion: The JES-KN is a valid and reliable tool that reflects the reality of clinical sites accordingly. The JES-KN may well be used effectively to assess and evaluate the job esteem of Korean nurses.

• Journal of the Korean Society of School Health
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• v.26 no.3
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• pp.184-194
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• 2013

Purpose: The purpose of this study was to investigate predictors of behavior problems of military children in elementary school. Methods: Participants were 195 military children who were attending D-elementary school in C-city. Data were collected from July 8 to July 10, 2013, using self-report questionnaires which included Han's Externalized Behavior Problems Scale, Lee's Parent's Rearing Attitude Scale, and Hong's Friend/Teacher Support Appraisal Scale. Data analysis was performed using the SPSS/WIN 18.0 program, which included the t-test, the one-way ANOVA, Pearson correlation coefficients, and the multiple liner regression analysis. Results: The mean score of the subjects' behavior problem was 1.47/5.0 points. The degree of the score is similar to or slightly lower than that of ordinary children. There were statistically significant differences in behavior problems according to gender, grade, birth order and economic status. Behavior problems have a negative correlation with parent's rearing attitude, parent-child relationship, teacher's support, and friend's support. Influencing factors of behavior problems were teacher's support, father-child relationship, and mother's rearing attitude, which explained 20.6% of the variance. Conclusion: The finding of this study suggests there is a need to increase teacher's support for elementary students and to educate parents to improve their parenting skills by developing proper school health programs.

• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.200-214
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• 2016

This paper investigates the problem of stability analysis and robust H_∞ controller for time-delayed systems with parameter uncertainties and stochastic disturbances. It is assumed parameter uncertainties are norm bounded and mean and variance for disturbances of them are known. Firstly, by constructing a newly augmented Lyapunov-Krasovskii functional, a stability criterion for nominal systems with time-varying delays is derived in terms of linear matrix inequalities (LMIs). Secondly, based on the result of stability analysis, a new controller design method is proposed for the nominal form of the systems. Finally, the proposed method is extended to the problem of robust H_∞ controller design for a time-delayed system with parameter uncertainties and stochastic disturbances. To show the validity and effectiveness of the presented criteria, three examples are included.