• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.359-367
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• 2019

The purpose of this study was to investigate the effects of ingestion of rabies and ginseng fruit extracts on alcohol hangover, liver damage protection, fatigue recovery, and physical strength improvement. A total of 64 volunteers aged over 20 were participated in this study and the randomized and repeated measures design method was used to divide a group of participants with a random assignment. All participants were divided into 4 groups (n=16) treated with hoveni dulcis thunb extract + ginseng berry extract (ARI 1000), hoveni dulcis thunb extract, ginseng berry extract, and placebo. As a result of respiratory alcohol concentration change, the group treated with ARI 1000 was significantly lower than the group treated with hoveni dulcis thunb extract, ginseng berry extract, and placebo in 1 hour of drinking, and significantly lower than the placebo group in 2 hours and 3 hours of drinking (p<0.05). After 2 and 3 hours of alcohol consumption, blood alcohol concentration of the group treated with rabies ARI 1000 was significantly lower than those of the other 3 groups (p <0.05). In conclusion, ingestion of ARI 1000 before drinking may significantly reduce the respiratory and blood alcohol concentrations, which may induce an effect on the hangover effect.

• Science of Emotion and Sensibility
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• v.24 no.3
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• pp.41-60
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• 2021

The purpose of this research was to determine whether multimodal cues in an online shopping environment could enhance tactile consumer mental imagery, purchase intentions, and attitudes towards an apparel product. One limitation of online retail is that consumers are unable to physically touch the items. However, as tactile information plays an important role in consumer decisions especially for apparel products, this study investigated the effects of multimodal cues on overcoming the lack of tactile stimuli. In experiment 1, to explore the product, the participants were randomly assigned to four conditions; picture only, video without sound, video with corresponding sound, and video with discordant sound; after which tactile mental imagery vividness, ease of imagination, attitude, and purchase intentions were measured. It was found that the video with discordant sound had the lowest average scores of all dependent variables. A within-participants design was used in experiment 2, in which all participants explored the same product in the four conditions in a random order. They were told that they were visiting four different brands on a price comparison web site. After the same variables as in experiment 1, including the need for touch, were measured, the repeated measures ANCOVA results revealed that compared to the other conditions, the video with the corresponding sound significantly enhanced tactile mental imagery vividness, attitude, and purchase intentions. However, the discordant condition had significantly lower attitudes and purchase intentions. The dual mediation analysis also revealed that the multimodal cue conditions significantly predicted attitudes and purchase intentions by sequentially mediating the imagery vividness and ease of imagination. In sum, vivid tactile mental imagery triggered using audio-visual stimuli could have a positive effect on consumer decision making by making it easier to imagine a situation where consumers could touch and use the product.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.745-760
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• 2021

Prediction of a stock price has been a subject of interest for a long time in financial markets, and thus, many studies have been conducted in various directions. As the efficient market hypothesis introduced in the 1970s acquired supports, it came to be the majority opinion that it was impossible to predict stock prices. However, recent advances in predictive models have led to new attempts to predict the future prices. Here, we summarize past studies on the price prediction by evaluation measures, and predict the direction of stock prices of Samsung Electronics, LG Chem, and NAVER by applying various machine learning models. In addition to widely used technical indicator variables, accounting indicators such as Price Earning Ratio and Price Book-value Ratio and outputs of the hidden Markov Model are used as predictors. From the results of our analysis, we conclude that no models show significantly better accuracy and it is not possible to predict the direction of stock prices with models used. Considering that the models with extra predictors show relatively high test accuracy, we may expect the possibility of a meaningful improvement in prediction accuracy if proper variables that reflect the opinions and sentiments of investors would be utilized.

• Journal of Life Science
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• v.32 no.8
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• pp.595-600
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• 2022

Water dropworts, Oenanthe javanica and O. javanica var. japonica are called "minari" in Korea and are eaten as a vegetable. Cicuta virosa is common European water hemlock and has toxic properties, such as cicutoxin. Molecular variations of water dropwort species in Korea were investigated using random amplified polymorphic DNA (RAPD). The six populations were studied with 10 primers (Operon, OPB) for RAPD analysis. The 72 DNA fragments (bands) were found among six populations. Among these 72 bands, 61 (84.7%) bands were polymorphic. The typical populations of Cicuta virosa in Korea were small, isolated, and patchily distributed for natural populations and they maintained a high level of genetic diversity. However, when cultivated populations of O. javanica var. japonica were large and widely grown in rice paddies as vegetables, they maintained a lower genetic diversity than those of C. virosa and wild populations of O. javanica. Although the diversity indices of wild populations were shown to be higher than those of cultivated populations, no significant difference for measures of genetic variability was shown. Total genetic diversity value (H_T) was 0.342. The interlocus variation in the within-population genetic diversity (H_S) was 0.201. The proportion of total genetic variation due to differences among populations (G_ST) range was 0.414, indicating that 41.4% of the total variation was among populations. In conclusion, the RAPD technique was a useful method for discrimination between C. virosa and O. javanica. In addition, RAPD-OPB markers could further distinguish the strains from different food sources.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.15-17
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• 2022

In the aftermath of the avian influenza that occurred from the second half of 2020 to the beginning of 2021, 17.8 million laying hens were slaughtered. Although the government invested more than 100 billion won for egg imports as a measure to stabilize prices, the effort was not that easy. The sharp volatility of egg prices negatively affected both consumers and poultry farmers, so measures were needed to stabilize egg prices. To this end, the egg prices were successfully predicted in this study by using the analysis algorithm of a machine learning regression. For price prediction, a total of 8 independent variables, including monthly broiler chicken production statistics for 2012-2021 of the Korean Poultry Association and the slaughter performance of the national statistics portal (kosis), have been selected to be used. The Root Mean Square Error (RMSE), which indicates the difference between the predicted price and the actual price, is at the level of 103 (won), which can be interpreted as explaining the egg prices relatively well predicted. Accurate prediction of egg prices lead to flexible adjustment of egg production weeks for laying hens, which can help decision-making about stocking of laying hens. This result is expected to help secure egg price stability.

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.135-151
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• 2023

Objective : This study was conducted to confirm the effect of the oral motor facilitation technique (OMFT) on oral motor function in stroke patients. Methods : This study was conducted on 72 stroke patients with dysphagia were included. Thirty-six patients were randomly assigned to the experimental and control groups were randomly classified into 36 patients each using a random table, and a two-group pre-post test was designed. The experimental group underwent OMFT, and the control group underwent traditional dysphagia therapy for 30 min, once a day, 5 times a week for 4 weeks, for a total of 20 sessions. The Comprehensive Orofacial Function Scale (COFFS) was used to evaluate oral motor function. Repeated-measures analysis of variance (ANOVA) was performed to confirm the effect of the period, and an independent t-test was performed to analyze the difference in change between the two groups. Results : Total COFFS scores improved in both groups. The experimental group showed significant changes in mandibular and lip movements, cheek blows, and tongue movements. In addition, there were significant differences depending on the intervention period in terms of masticatory distribution, food spillage, swallowing of solid and liquid foods, and voice changes. There were significant differences in the mandibular opening and closing categories between the two groups. Conclusion : OMFT is effective in improving oral motor function in stroke patients with dysphagia and can be used as basic evidence in clinical practice.

• Journal of the Korean Geosynthetics Society
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• v.22 no.4
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• pp.17-26
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• 2023

To consider the risk of damage and fracture of P.C strands, the existing post-maintenance system alone has the limitations, hence it is necessary to quantitatively evaluate and predict the deterioration, durability and safety of facilities and establish a reasonable maintenance system considering the asset value of facilities. Therefore, it is worth considering a preventive maintenance plan that allows proactive measures to be taken before a major defect occurs in the temporary anchor. This study devised a preventive over tension method, reviewed its effectiveness through design and field tests, by calculating the resistance factors by performing a reliability-based optimization design. At this time, the over tension anchor method was evaluated using the ratio of the residual tension force after the fracture of P.C strands to the effective tension force before the fracture of P.C strand, followed by the resistance factor calculated by the optimal solution for each random variables using Excel solver and applying it to the limit state equations. As a result of the study, if the over tension ratio is 125% to 130%, the remaining strands showed a high resistance effect even after the fracture of P.C strand. As a result of the optimization design, it was found that it is appropriate to apply the load factor (γ) of 1.25, and the resistance factors of Φ₁, Φ₂, Φ₃ as 0.7, 0.5, 0.6.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.1-11
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• 2023

Breast cancer is the disease that affects women the most worldwide. Due to the development of computer technology, the efficiency of machine learning has increased, and thus plays an important role in cancer detection and diagnosis. Deep learning is a field of machine learning technology based on an artificial neural network, and its performance has been rapidly improved in recent years, and its application range is expanding. In this paper, we propose a DNN-SVM hybrid model that combines the structure of a deep neural network (DNN) based on transfer learning and a support vector machine (SVM) for breast cancer classification. The transfer learning-based proposed model is effective for small training data, has a fast learning speed, and can improve model performance by combining all the advantages of a single model, that is, DNN and SVM. To evaluate the performance of the proposed DNN-SVM Hybrid model, the performance test results with WOBC and WDBC breast cancer data provided by the UCI machine learning repository showed that the proposed model is superior to single models such as logistic regression, DNN, and SVM, and ensemble models such as random forest in various performance measures.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.6
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• pp.172-181
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• 2023

In this study, real-time damage evaluation of cable-stayed bridges was conducted for cable damage. ICP type acceleration sensors were used for real-time damage assessment of cable-stayed bridges, and Kinetic Energy Optimization Techniques (KEOT) were used to select the optimal conditions for the location and quantity of the sensors. When a structure vibrates by an external force, KEOT measures the value of the maximum deformation energy to determine the optimal measurement position and the quantity of sensors. The damage conditions in this study were limited to cable breakage, and cable damage was caused by dividing the cable-stayed bridge into four sections. Through FE structural analysis, a virtual model similar to the actual model was created in the real-time damage evaluation method of cable. After applying random oscillation waves to the generated virtual model and model structure, cable damage to the model structure was caused. The two data were compared by defining the response output from the virtual model as a corruption-free response and the response measured from the real model as a corruption-free data. The degree of damage was evaluated by applying the data of the damaged cable-stayed bridge to the Improved Mahalanobis Distance (IMD) theory from the data of the intact cable-stayed bridge. As a result of evaluating damage with IMD theory, it was identified as a useful damage evaluation technology that can properly find damage by section in real time and apply it to real-time monitoring.

• Research in Community and Public Health Nursing
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• v.14 no.4
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• pp.568-578
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• 2003

This study was conducted to estimate the effects of self-care program on knowledge and symptoms related hypertension self-care and physiological index in essential hypertensive patients aged between 35-74 year. The subjects for the experiment group and the control group of this study were 70 men and women selected through random sampling from adults at Sangju Red Cross Hospital in Gyeongsanbuk-do, and the experiment was carried out during the period from the 15th of September to the 30th of April in 2002. This study measured systolic and diastolic blood pressure (SBP, DBP, the mean value of the two measures) and total cholesterol (TC) and surveyed the subjects' diet and life style in relation to hypertension using a self-report questionnaire. In order to study the significance of the effects of self-care program, the author carried out t-test, paired t-test, ANCOVA, chi-square analysis and effectiveness index (EI) analysis. Results of the study are as follows: The experiment group got higher mean scores than the control group in the degree of low sodium intake and the degree of high calcium and high potassium intake, and the difference was statistically significant(P<0.05). The effectiveness index of the self-care program in smoking was 0.797 at the 1st posttest and 0.601 at the 2nd posttest, and in physical activities 0.600 at the 1st posttest and 0.849 at the 2nd posttest. The rate of regular antihypertensive drugs intake of the experimental group was higher than that of the control group. and the effectiveness index of the self-care program was 0.715. The mean score of the systolic blood pressure of the experimental group was lower than that of the control group, and the difference was statistically significant(P<0.05). In conclusion, these findings support usefulness of self-care programs in reducing systolic blood pressure and in promoting self-care related to diet and life style for treating and preventing hypertension.