• Journal of Biomedical Engineering Research
• /
• v.40 no.2
• /
• pp.62-67
• /
• 2019

The purpose of this study was to evaluate the performance of deep neural network model in order to determine whether there is a risk factor for coronary artery disease based on the cardiac variation parameter. The study used unidentifiable 297 data to evaluate the performance of the model. Input data consists of heart rate parameters, which are SDNN (standard deviation of the N-N intervals), PSI (physical stress index), TP (total power), VLF (very low frequency), LF (low frequency), HF (high frequency), RMSSD (root mean square of successive difference) APEN (approximate entropy) and SRD (successive R-R interval difference), the age group and sex. Output data are divided into normal and patient groups, and the patient group consists of those diagnosed with diabetes, high blood pressure, and hyperlipidemia among the various risk factors that can cause coronary artery disease. Based on this, a binary classification model was applied using Deep Neural Network of deep learning techniques to classify normal and patient groups efficiently. To evaluate the effectiveness of the model used in this study, Kernel SVM (support vector machine), one of the classification models in machine learning, was compared and evaluated using same data. The results showed that the accuracy of the proposed deep neural network was train set 91.79% and test set 85.56% and the specificity was 87.04% and the sensitivity was 83.33% from the point of diagnosis. These results suggest that deep learning is more efficient when classifying these medical data because the train set accuracy in the deep neural network was 7.73% higher than the comparative model Kernel SVM.

• Earthquakes and Structures
• /
• v.16 no.3
• /
• pp.295-310
• /
• 2019

This study attempts to develop new simplified approximate formulas to predict the fundamental natural periods of vibration (T) for bearing wall systems engaged with special reinforced concrete shear walls (RCSW) under seismic loads. Commonly, seismic codes suggested empirical formulas established by regression analysis of measured T for buildings during earthquake motions. These formulas depend on structure type, building height, number, height and length of SW, and ratio of SW area to base area of structure. In this study, a parametric investigation is performed for T of 110 selected models of bearing RCSW systems with varying structural height, configuration of horizontal plans including building width, number and width of bays, presence of middle corridors and core SWs. For this purpose, a 3D non-linear response time history (TH) analysis is implemented using ETABS v16.2.1. New formulas to estimate T are anticipated and compared with those obtained from formulas of IBC 2012 and ASCE/SEI 7-10. Moreover, the study examines responses of an arbitrarily two selected test model of 60 m and 80 m in height with presence of SWs having middle corridors. It is observed that the performance of the tested buildings is different through arising of considerable errors when using codes' formulas for estimating T. Accordingly, using the present proposed formulas exhibits more reasonable and safer design compared to codes' formulas. The results showed that equitable enhancement is promising to improve T formulas approaching enhanced and accurate estimation of T with reliable analysis, design, and evaluation of bearing RCSW systems.

• Journal of radiological science and technology
• /
• v.44 no.1
• /
• pp.39-46
• /
• 2021

This study confirmed the usefulness of the copper filter according to the mode change by comparing and analyzing the energy change according to the application of the copper filter and the change in effective dose and image quality according to the distance to the subject in the DR(Digital Radiography) system. The average energy increased when the copper filter was applied and the reduction rate by 50% of mAs was increased as the thickness of the copper filter increased according to the application of the 10 kVp rule in AEC mode. The effective dose decreased as the thickness increased when the copper filter was applied in AEC(Automatic Exposure Control) mode and manual mode according to the application of the 10 kVp rule, and the decrease rate decreased with increasing 10 kVp increments. As a result of analyzing the dicom images for AEC mode and manual mode with Image J. the PSNR(Peak Signal to Noise Ratio) values were approximate values of less than 30 dB for each mode and for each copper filter thickness. When the copper filter was applied, the average energy increased, so when the 10 kVp rule was applied, the mAs for each mode could be reduced, and the effective dose could also be reduced. However, as the distance and tube voltage increased, the reduction rate of mAs decreased, and the quality of the image was found to decrease when the copper filter was applied, but there was no difference in quality of the image when the copper filter thickness increased.

• Nutrition Research and Practice
• /
• v.16 no.1
• /
• pp.132-146
• /
• 2022

BACKGROUND/OBJECTIVES: Various sodium reduction policies have been implemented. However, there are limitations in the aspect of actual field applicability and efficiency. For effective sodium reduction, cooperation with the field is required and consumer preference must be considered. Thus, this study aimed to develop a low-sodium burger considering field applicability and consumer preference. MATERIALS/METHODS: Focus group interviews and in-depth interviews on the sodium reduction measures were conducted with nine professionals in related fields to discuss practical methods for sodium reduction from September 7 to 21, 2018. By reflecting the interview results, a burger using a low-sodium sauce was developed, and preference analysis for sodium in the burger sauces and finished products was performed. The consumer preference for low-sodium burgers was evaluated on 51 college students on November 12, 2018. RESULTS: The results of the professional interview showed that it is desirable to practice sodium reduction gradually, and by reflecting this, the burger sauce was prepared by adjusting the ratio of refined salt to 15%, 30%, and 50%. The sodium content of the burger using low-sodium sauce was 399 mg/100 g in the control group, 362 mg/100 g in the H1 group, and 351.5 mg/100 g in the H2 group, showing a 9.3-11.9% decrease in sodium in the H1 and H2 groups. The preference evaluation on the low-sodium burgers showed a higher preference for burgers with 9.3-11.9% sodium reduction, which did not affect the overall taste. CONCLUSIONS: This study examined the potential for sodium reduction in the franchise foodservice industry. An approximate 10% sodium reduction resulted in an increase in consumer preference without affecting the strength of the taste. Thus, if applied gradually, sodium reduction at practical levels could increase the consumer preference without changing the taste or quality and could be applied in the franchise foodservice industry.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.20 no.5
• /
• pp.85-95
• /
• 2021

Structure design sensitivity was evaluated using the orthogonal array experimental method for passive-type deck support frame (DSF) developed for float-over installation of the offshore plant. Moreover, approximation characteristics were also reviewed based on various meta-models. The minimum weight design of the DSF is significantly important for securing both maneuvering performance and buoyancy of a ship equipped with the DSF and guaranteeing structural design safety. The performance strength of the passive type DSF was evaluated through structure analysis based on the finite element method. The thickness of main structure members was applied to design factors, and output responses were considered structure weight and strength performances. Quantitative effects on the output responses for each design factor were evaluated using the orthogonal array experimental method and analysis of variance. The optimum design case was also identified from the orthogonal array experiment results. Various meta-models, such as Chebyshev orthogonal polynomial, Kriging, response surface method, and radial basis function-based neural network, were generated from the orthogonal array experiment results. The results of the orthogonal array experiment were validated using the meta-modeling results. It was found that the radial basis function-based neural network among the meta-models could approximate the design space of the passive type DSF with the highest accuracy.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2023.05a
• /
• pp.206-207
• /
• 2023

Intelligent maritime traffic information services provide services for maritime traffic safety, but due to the difference in ship specifications and loading condition, the method of determining abnormalities in ship stability has not been generalized. In this study, we established a method for collecting and preprocessing Accelerometer and GPS data for calculating ship stability. In addition, we have researched a model that can determine the real-time ship stability through data science algorithms that can reflect each vessel specifications and external forces, breaking away from approximate calculations that cannot reflect weather factors in the real ocean.

• The Korean Journal of Food And Nutrition
• /
• v.18 no.1
• /
• pp.48-53
• /
• 2005

Herbs and yucca(Yucca shidigera) are widely used a source of tea and otherwise such as botanical medicine, essential oil for perfumes, cosmetics, and food spices. This study was carried out to investigate the characteristics of herb tea prepared with lemon verbena, spearmint, apple mint, Korea mint, rosemary, pineapple sage, Chrysanthemum indicum, stevia, lavender, lemon balm cultivated in Korea and effects by addition of yucca. Approximate composition of yucca were as follows: moisture 5.88%, crude protein 5.46%, crude fat 0.69%, crude ash and 7.59%. pH of herb tea mixed yucca at 80℃ was decreased in lemon verbena, spearmint, apple mint, Korea mint, and rosemary in comparison herb tea alone, but soluble solids were similar in two tea. In the result of sensory test, herb tea and herb tea mixed Yucca were not difference with a few exceptions. pH of mentha(Korea mint) tea by addition of yucca was decreased according to increment amount of yucca. The sensory evaluation score of mentha tea by addition of yucca were increased when the tea was processed with 0.01∼0.04% yucca.

• Fire Science and Engineering
• /
• v.15 no.1
• /
• pp.84-92
• /
• 2001

In today's world, rise in the establishment of social infrastructure resulting from population saturation in large cities has led to more extensive and frequent use of chemical materials on facilities. A result, unexpected and serious accidents, hazards, contingencies and disasters are more prevalent than ever. Such phenomenon calls for more devoted and concerted efforts towards finding ways to reduce the safety hazards that are seen to take place more often than before with the increase in the number of facilities that are prone to bring disaster and hazard coupled with the conventional safety problems that continue to exist even today. In developed countries, such challenge is addressed by various appropriate countermeasures drawn up by local professional committees on industrial facilities, whose members conduct offsite and onsite evaluation un the potential industrial disasters and its seriousness and provide their advice thereof. Against this backdrop, this study aims at identifying a comprehensive safety allowance level (safety acceptable level) when imposing limitation on the development of conventional or new facilities, for the fur pose of establishing a safety allowance level of disastrous and dangerous facilities in Korea. This is done by assessing and applying the level of danger each individual is exposed to in a randomly selected region (disastrous and dangerous areas in Seoul) based on probability of quantitative hazards, as well as simulation and calculation methods which include: i) social disaster evaluation method applying Quantified Risk Assessment of Health & Safety Executive of UK and Matrix of Risk of Evaluated Sources of Hazard; ii) Fault Tree or Event Tree Analysis and etc.

• Journal of the Earthquake Engineering Society of Korea
• /
• v.13 no.1
• /
• pp.17-26
• /
• 2009

The capacity spectrum method (CSM), which is known to be an approximate technique for assessing the seismic capacity of an existing structure, was originally proposed for simple building structures that could be modeled as single-degree-of-freedom (SDOF) systems. More recently, however, CSM has increasingly been adopted for assessing most bridge structures, as it has many practical advantages. Some studies on this topic are now being performed, and a few results of these have been presented as ground-breaking research. However, studies have until now been limited to symmetrical straight bridges only. This study evaluates the practical applicability of CSM to the evaluation of irregular curved bridges. For this purpose, the seismic capacities of 3-span prestressed concrete bridges with different subtended angles subjected to some recorded earthquakes are compared with a more refined approach based on nonlinear time history analysis. The results of the study show that when used for curved bridges, CSM induces higher inelastic displacement responses than the actual values, and that the gap between the two becomes larger as the subtended angle increases.

• Food Science of Animal Resources
• /
• v.30 no.2
• /
• pp.252-260
• /
• 2010

A 90-d trial was conducted to determine the influence of additives such as pegmatite (Peg), precious stone (PS), grape pomace extracts (GPEx) and complexes of these additives (Peg + GPEx and PS + GPEx) via evaluation of meat quality including sensory properties in 90 d old finishing pigs. There were no significant differences in the approximate composition and physiochemical characteristics, including meat color, among the treated groups. However, the Peg treated group was found to have a higher water holding capacity than the other groups. The shear-force was evaluated as an indicator of hardness and found to be lower in the Peg and GPEx treated groups, and this tendency was greater when the complex of Peg and GPEx was supplied. No significant differences were observed among groups following analysis of the free amino acid composition and fatty acid (FA) composition. Sensory evaluation of the boiled loins showed significantly (p<0.05) better results from pigs fed diets containing Peg and GPEx complex. These results suggest that Peg may improve the water holding capacity and tenderness. In addition, supplementation with a complex of Peg and GPEx may improve tenderness.