• Journal of KIISE
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• v.42 no.5
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• pp.609-620
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• 2015

Viewers of videos are likely to absorb more information from the part of the screen that attracts visual attention. This fact has led to the visual attention models that are being used in producing and evaluating videos. In this paper, we investigate the factors that are significant to visual attention and the mathematical form of the visual attention model. We then estimated the visual attention probability using the statistical design of experiments. The analysis of variance (ANOVA) verifies that the motion velocity, distance from the screen, and amount of defocus blur affect human visual attention significantly. Using the response surface modeling (RSM), we created a visual attention score model that concerns the three factors, from which we calculate the visual attention probabilities (VAPs) of image pixels. The VAPs are directly applied to existing gradient based 3D effect perception measurement. By giving weights according to our VAPs, our algorithm achieves more accurate measurement than the existing method. The performance of the proposed measurement is assessed by comparing them with subjective evaluation as well as with existing methods. The comparison verifies that the proposed measurement outperforms the existing ones.

• Horticultural Science & Technology
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• v.31 no.1
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• pp.8-13
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• 2013

This research was conducted to investigate the effect of climatic factors on fruit growth in 'Niitaka' pear (Pyrus pyrifolia). For ten years from 2000 to 2010, average full bloom date was April 19th and standard deviation was 4.2 days. Average fruit diameter 160 days after full bloom (DAFB) was 102.4 mm and standard deviation was 7.5 mm. Variance coefficients among climatic factors were higher in rainfall amount and sunshine hours than temperature. Only sunshine hours of climatic factors accumulated during the 160 DAFB had significant positive relationship ($r=0.68^*$) with fruit diameter 160 DAFB. Between full bloom date and fruit diameter 160 DAFB had no significant relationship. Fruit growth in 2004, as continuous rain fall and short sunshine hours, showed opposite pattern compared to that in 2009. Therefore, fruit growth of 'Niitaka' pear was more influenced by the accumulated sunshine hours than accumulated temperature.

• Archives of Pharmacal Research
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• v.29 no.4
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• pp.328-332
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• 2006

The bioequivalence and pharmacokinetics of alendronate sodium tablets were examined by determining the plasma concentration of alendronate. Two groups, consisting of 24 healthy volunteers, each received a 70 mg reference alendronate sodium tablet and a test tablet in a $2{\times}2$ crossover study. There was a 6-day washout period between doses. The plasma alendronate concentration was monitored for 7 h after the dose, using HPLC-Fluorescence Detector (FD). The area under the plasma concentration-time curve from time 0 to the last sampling time at 7 h $(AUC_{0-7h})$ was calculated using the linear-log trapezoidal rule. The maximum plasma drug concentration $(C_{max})$ and the time to reach $C_{max}(T_{max})$ were derived from the plasma concentration-time data. Analysis of variance was performed using logarithmically transformed $AUC_{0-7h}\;and\;C_{max}$, and untransformed $T_{max}$. For the test medication versus the reference medication, the $AUC_{0-7h}\;were\;87.63{\pm}29.27\;vs.\;102.44{\pm}69.96ng\;h\;mL^{-1}$ and the $C_{max}$ values were $34.29{\pm}13.77\;vs.\;38.47{\pm}24.39ng\;mL^{-1}$ respectively. The $90\%$ confidence intervals of the mean differences of the logarithmic transformed $AUC_{0-7h}$ and $C_{max}$ values were log 0.8234-log 1.1597 and log 0.8222-log 1.1409, respectively, satisfying the bioequivalence criteria guidelines of both the US Food and Drug Administration and the Korea Food and Drug Administration. The other pharmacokinetic parameters for the test drug versus reference drug, respectively, were: $t_{1/2},\;1.87{\pm}0.62\;vs.\;1.77{\pm}0.54\;h;\;V/F,\;2061.30{\pm}986.49\;vs.\;2576.45{\pm}1826.05\;L;\;CL/F,\;835.32{\pm}357.35\;vs.\;889.48{\pm}485.87\;L\;h^{-1}; K_{el},\;0.42{\pm}0.14\;vs.\;0.40{\pm}0.18\;h^{-1};\;Ka,\;4.46{\pm}3.63\;vs.\;3.80{\pm}3.64\;h^{-1};\;and\;T_{lag},\;0.19{\pm}0.09\;vs.\;0.18{\pm}0.06\;h$. These results indicated that two alendronate formulations(70-mg alendronate sodium) were biologically equivalent and can be prescribed interchangeably.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.246-254
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• 2021

The purpose of this study was to investigate the effects of knowledge and risk perception of coronavirus disease-2019 on preventive health behavior among nursing students. The survey participants were 291 students in A city. Data were collected using self-report questionnaires between August 1 and 20, 2020. Data were analyzed using descriptive statistics, the independent t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression in SPSS ver. 18.0. Knowledge of COVID-19 was significantly dependent on age and school records. Risk perceptions were significantly dependent on educational grades. Age, health status, knowledge, and risk perception had significant effects on preventive health behavior, which was found to be positively correlated with knowledge and risk perception. Stepwise multiple regression analysis revealed that age significantly predicted preventive health behavior (β=.188, p<.01), health status (β=-.245, p<.001), knowledge (β=.254, p<.001), and risk perception (β=.191, p<.001) that it accounted for 18.9% (F=17.904, p<.001) of the variance. An educational program is required to enhance the preventive health behavior of nursing students in a background of COVID-2019 that considers student age, health level, knowledge, and perception of risk.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.526-534
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• 2019

This study was undertaken to identify knowledge, attitude, perception and nursing practice toward use of physical restraints, among nurses in long-term care hospitals. We further explored the impact of factors associated with nursing practice toward use of physical restraints. This was a cross-sectional descriptive study in which self-administered questionnaires were collected from 128 nurses working at 11 long-term care hospitals. Descriptive statistics, including t-test, one-way ANOVA, Welch's test, Pearson correlation coefficients and multiple regression, were applied to analyze the data collected. Our results reveal that the participants possess moderate levels of knowledge, attitude, perception and nursing practice toward use of physical restraints. Significant positive correlations were observed between nursing practice and knowledge. Multiple regression analysis showed that the factors significantly related to nursing practice and use of physical restraint were knowledge (${\beta}=0.27$, p=0.002) and attitude (${\beta}=-0.17$, p=0.044), having a total explained variance of 9.0%. The findings from this study suggest that knowledge is the strongest predictor on nursing practice toward use of physical restraints. Thus, we propose that developing and applying evidence-based educational intervention programs to reduce the use of physical restraints in long-term care hospitals are required.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.63-73
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• 2019

The purpose of this study was to investigate the prevalence of social anxiety among late School-aged Children and identify factors influencing the tendency to social anxiety. A self-report survey was conducted with primary school children who were in the 6th grades. Two hundred and seventy eight children were included in the study. The instruments utilized in this study were SASCA-K (Korean Social Anxiety Scale for children and adolescents), SES(Self-esteem Scale), CAPS(Child and Adolescent Perfectionism Scale), DSRS-C(Depression Self-Rating Scale for Children), and IPPA-R(Inventory of Parent and Peer Attachment-Revised version). Data were analyzed using descriptive statistics, t-test, One-way ANOVA, Pearson correlation and multiple regression with SPSS WIN 23.0 program. Social anxiety for the schoolchildren was positively correlated with perfectionism and depression, whereas self-esteem and attachment security was negatively correlated with social anxiety. Stepwise multiple regression analysis showed that 38.0% of the variance for social anxiety was significantly accounted for by self-esteem, self-oriented perfectionism, depression, attachment security (Father-communication). The most significant factor influencing social anxiety was self-esteem. Findings suggest that expanding health education, counseling and school-based health education programs is necessary to prevent and intervention mental problems of late School-aged Children through integrated intervention by schools, families and communities.

• Science of Emotion and Sensibility
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• v.26 no.3
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• pp.115-128
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• 2023

This study examines the effects of a new app-based intervention program for conversational skills of children with high-functioning autism spectrum disorder (ASD). Participants in this study comprised 26 children diagnosed with autism, Asperger's syndrome, or pervasive developmental disorder-not otherwise specified (PDD-NOS). Participants were randomly assigned into a treatment group or a control group according to their ages, IQ, SCQ, and ASSQ scores. The treatment group met with teachers once a week for a single non-face-to-face class for nine weeks, along with conversation training at home using an app. The control group did not participate in any specific programs for conversational skills. Conversation data of all participants were collected before and after the intervention to compare the two groups based on changes in the conversational turn-taking and topic manipulation skills. When analyzed with respect to a Group X Period analysis of variance (ANOVA), the data indicated maintenance on the rate of appropriate listener's verbal responses in the treatment group, whereas the rate of inappropriate listener's verbal response significantly declined in the control group. In addition, the rate of conversation initiation and maintenance and the rate of appropriate initiation improved in the treatment group, whereas the rate of inappropriate initiation declined in this group. Overall, the study demonstrates promising effects of the novel App-based digital intervention on verbal conversational skills in children with high function ASD.

• Journal of KIISE:Information Networking
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• v.31 no.4
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• pp.375-383
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• 2004

As wireless mobile networks have been widely adopted due to their convenience for deployment, the research for improving their performance has been actively conducted. Since their throughput is restrained by the packet corruption rate not by congestion as in wired networks, however, network simulations for performance evaluation need to select the appropriate wireless channel model representing the behavior of propagation errors for the evaluated channel. The selection of the right model should depend on various factors such as the adopted frequency band, the level of signal power, the existence of obstacles against signal propagation, the sensitivity of protocols to bit errors, and etc. This paper analyzes 10-day bit traces collected from real sensor channels exhibiting the high bit error rate to determine a suitable sensor channel model. For selection, it also evaluates the performance of two error recovery algorithms such as a link layer FEC algorithm and three TCPs (Tahoe, Reno, and Vegas) over several channel models. The comparison analysis shows that CM(Chaotic Map) model predicts 3-time less BER variance and 10-time larger PER(Packet Error Rate) than traces while these differences between the other models and traces are larger than 10-time. The simulation experiments, furthermore, prove that CM model evaluates the performance of these algorithms over sensor channels with the precision at least 10-time more accurate than any other models.

• The Journal of Industrial Distribution & Business
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• v.9 no.5
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• pp.63-72
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• 2018

Purpose - This work analyzes, in detail, the specification of vector error correction model (VECM) and thus examines the relationships and impact among seven economic variables for USA - balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), a measure of the money supply that includes total currency as well as large time deposits, institutional money market funds, short-term repurchase agreements and other larger liquid assets (M3), real rate of interest (IR_REAL) and household credits (LOAN). In particular, we search for the main explanatory variables that have an effect on stock and real estate market, respectively and investigate the causal and dynamic associations between them. Research design, data, and methodology - We perform the time series vector error correction model to infer the dynamic relationships among seven variables above. This work employs the conventional augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root techniques to test for stationarity among seven variables under consideration, and Johansen cointegration test to specify the order or the number of cointegration relationship. Granger causality test is exploited to inspect for causal relationship and, at the same time, impulse response function and variance decomposition analysis are checked for both short-run and long-run association among the seven variables by EViews 9.0. The underlying model was analyzed by using 108 realizations from Q1 1990 to Q4 2016 for USA. Results - The results show that all the seven variables for USA have one unit root and they are cointegrated with at most five and three cointegrating equation for USA. The vector error correction model expresses a long-run relationship among variables. Both IR_REAL and M3 may influence real estate market, and GDP does stock market in USA. On the other hand, GDP, IR_REAL, M3, STOCK and LOAN may be considered as causal factors to affect real estate market. Conclusions - The findings indicate that both stock market and real estate market can be modelled as vector error correction specification for USA. In addition, we can detect causal relationships among variables and compare dynamic differences between countries in terms of stock market and real estate market.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.405-409
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• 2009

There are many types of walking exercise. We have choice the way according to the walking exercise purpose. Nordic walking(NW) is one of walking types with nordic poles. Also, power walking(PW) has motion of large swing the arm in walking, and dumbbell walking(DW) way is walking with 3-pound dumbbell. This study compared the physiological response(heart rate, energy expenditure) of general walking(GW) to another types(nordic, power, and 3-pound hand weights walking way). Seven apparently male health volunteers between the ages 19 and 24 years participated. Each complete a treadmill test. The tests were assigned randomly, as submaximal walking trials on separate days. Each walking trial was conducted on a level treadmill, for 40 minutes(3-5mile/hour 5min warm-up, 6mile/hour speed for 15min walking and 7mile/hour speed for 15min Jogging exercise, and 5-3mile/hour cool down 5min), at an same pace. Heart rate in beats per minute(bpm), and energy expenditure in kcal per minute(kcal/min) were recorded each minute. Results between trials were compared using repeated measures analysis of variance and Tukey's post hoc tests. In slow walking, it was found that walking with 3-pound hand weight way resulted in and average of ($127.8{\pm}8.27bpm$) the highest score HR, Caloric expenditure($85.4{\pm}14.51kcal/min$), responses compared to regular walking way($117.4{\pm}7.27bpm$ and $70.4{\pm}10.99kcal/min$). Nordic walking way($121.4{\pm}11.74bpm$, and $77.0{\pm}16.83kcal/min$) is second, power walking way($118.5{\pm}9.98bpm$, and $68.7{\pm}20.62kcal/min$) is next. In fast walking, it was found that walking way with 3-pound hand weight resulted in and average of ($160.1{\pm}8.72bpm$) the highest score HR, caloric expenditure($126.1{\pm}13.86kcal/min$), responses compared to regular walking way($148.4{\pm}11.94bpm$, and $109.0{\pm}4.70kcal/min$). Nordic walking way($156.7{\pm}10.82bpm$, and $113.5{\pm}14.51kcal/min$) is second, power walking way($149.7{\pm}12.56bpm$, and $109.2{\pm}17.64kcal/min$) is next. Thus, it is the unavoidable conclusion that, comparing with general walking, 3-pound hand weight walking, nordic walking, and power walking methods have the advantage of high exercise intensity and energy expenditure to meet the purpose of performers without the problem. Furthermore, 3-pound hand weight walking ways were proved to be a useful aerobic exercise method as whole body that achieves high-energy efficiency. To this extent, 3-pound hand weight walking ways can be recommended as a continuous and regulative aerobic exercise for some people.