• The Korean Journal of Food And Nutrition
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• v.31 no.2
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• pp.264-271
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• 2018

The objective of this study was to investigate taste profiles and the correlation of Doenjang soup solution prepared with three different temperatures (5, 25, $45^{\circ}C$) and using an electronic nose (e-nose), electronic tongue (e-tongue), and descriptive analyses by trained panelists. A total of 17sensory attributes were generated from the descriptive analyses for the Doenjang soup solution. There were significant difference among the samples in the cooked soybean flavor, the cooked soybean odor, the soy sauce odor, the sweet odor, the sweet taste, and the sweet aftertaste attributes. The intensities of these sensory attributes tended to increase as the serving temperature of the Doenjang soup solution increased. There were seven volatile compounds detected by the electronic nose: ethanol, propanal, 2-methylpropanal, ethyl acetate, 3-methylbutanal, and beta-pinene. The intensities of the volatile compounds increased as the temperature of the Doenjang soup solution increased. On the other hand, the intensities of the basic tastes by the e-tongue decreased as the temperature of the Doenjang soup solution increased. In conclusion, the e-nose, e-tongue, and descriptive analysis results showed different correlations depending on the temperature of the Doenjang soup solutions.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.1-9
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• 2020

In this paper, we propose a model that performs more natural facial attribute editing by utilizing mask information in the hair and hat region. STGAN, one of state-of-the-art research of facial attribute editing, has shown results of naturally editing multiple facial attributes. However, editing hair-related attributes can produce unnatural results. The key idea of the proposed method is to additionally utilize information on the face regions that was lacking in the existing model. To do this, we apply three ideas. First, hair information is supplemented by adding hair ratio attributes through masks. Second, unnecessary changes in the image are suppressed by adding cycle consistency loss. Third, a hat segmentation network is added to prevent hat region distortion. Through qualitative evaluation, the effectiveness of the proposed method is evaluated and analyzed. The method proposed in the experimental results generated hair and face regions more naturally and successfully prevented the distortion of the hat region.

• Food Science of Animal Resources
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• v.43 no.1
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• pp.85-100
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• 2023

The present study aimed to evaluate the effects of high-intensity ultrasound (HIU) application on meat quality traits, sensory parameters, and the microstructure of semitendinosus muscle from Hanwoo cattle. The samples were treated in an ultrasonic bath (35 kHz) at an intensity of 800 W/cm² for 60 min, followed by aging at 1℃ for 0, 3, and 7 days. The application of ultrasound resulted in lower Warner-Bratzler shear force and higher myofibrillar fragmentation index values during the storage period. HIU also enhanced the tenderness, flavor, umami, and overall acceptability of cooked beef muscle. However, the electronic tongue evaluation results showed higher umami values in the control treatment on the seventh day of storage. The microstructure of sonicated meat showed disorganized myofibrillar architecture and swelling in the A-band region of sarcomeres during the storage period, which led to greater meat tenderness. The heatmap illustrated the high abundance of α-linolenic acid (C20:5n3) and eicosapentaenoic acid (C18:3n3) in sonicated meat samples on the third day of the storage. These results showed that HIU is a potential method for tenderizing and improving the sensory attributes of beef without compromising other quality aspects.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.935-944
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• 2023

In this study, the Inverse-type (: Inverse-Exponential, Inverse-Rayleigh) life distribution, which is known to be suitable for reliability research, was applied to a software development cost model based on finite failure NHPP(: Nonhomogeneous Poisson Process), and then the attributes that determine the model's performance were analyzed. Additionally, to evaluate the efficiency of the model, it was compared with the Goel-Okumoto basic model. The performance of the model was analyzed using failure time data, and MLE (: Maximum Likelihood Estimation) was applied to calculate the parameters. In conclusion, first, as a result of analyzing m(t), which determines the development cost, the Inverse-Exponential model was efficient due to its small error in the true value. Second, as a result of analyzing the release time along with the development cost, the Inverse-Rayleigh model was confirmed to be the best. Third, as a result of comprehensive evaluation of the attributes (m(t), cost, and release time) of the proposed model, the Inverse-Rayleigh model had the best performance. Therefore, if software developers can effectively utilize this research data in the early process, they will be able to proactively explore and analyze attributes that affect cost.

• Journal of the Korean association of regional geographers
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• v.9 no.4
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• pp.546-558
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• 2003

Social justice has been an interest of whole geographers for almost four decades. The conception of social justice includes fairness and equity in the distribution of a wide range of attributes. The purpose of this study is to understand social justice in geography of welfare. The theories of social justice are needed to describe relationship between social justice and geography of welfare. The evaluation of spatial variations in welfare is closely associated with social justice. Equality, equity, efficiency, and fairness are the reasonable criteria to apply to the evaluation of distributions of welfare, relating to distributive(or territorial) justice. However, there are complications in the spatial application of welfare evaluation criteria, including access across space, boundary crossing and ecological fallacy.

• Journal of the Korean Society of Tobacco Science
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• v.21 no.1
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• pp.36-48
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• 1999

Field test was conducted in Chungbuk province to evaluate the soil fertility using landscape and soil attributes by application of geographic information system(GIS) in 48 tobacco fields during 2 years(1996 ; 23 fields, 1997 ; 25 fields). The soil fertility factors and fertilizer effects were estimated by twenty five independent variables including 13 chemical properties and 12 GIS databases. Twenty five independent variables were classified by two groups, 15 quantitative indexes and 10 qualitative indexes and were analyzed by multiple linear regression (MLR) of SAS, REG and GLM models. The estimation model for evaluation of soil fertility and fertilizer effect was made by giving the estimate coefficient for each quantitative index and for each group of qualitative index significantly selected by MLR. Estimation for soil fertility factors and fertilizer effects by independent variables was better by MLR than single regression showing gradually improvement by adding chemical properties, quantitative indexes and qualitative indexes of GIS. Consequently, it is assumed that this approach by MLR with quantitative and qualitative indexes was available as an evaluation model of soil fertility and recommendation of optimum fertilization for tobacco field.

• Computers and Concrete
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• v.25 no.6
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• pp.565-574
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• 2020

Over the years, several machine learning approaches have been proposed and utilized to create a prediction model for the high-performance concrete (HPC) slump flow. Despite HPC is a highly complex material, predicting its pattern is a rather ambitious process. Hence, choosing and applying the correct method remain a crucial task. Like some other problems, prediction of HPC slump flow suffers from abnormal attributes which might both have an influence on prediction accuracy and increases variance. In recent years, different studies are proposed to optimize the prediction accuracy for HPC slump flow. However, more state-of-the-art regression algorithms can be implemented to create a better model. This study focuses on several methods with different mathematical backgrounds to get the best possible results. Four well-known algorithms Support Vector Regression, M5P Trees, Random Forest, and MLPReg are implemented with optimum parameters as base learners. Also, redundant features are examined to better understand both how ingredients influence on prediction models and whether possible to achieve acceptable results with a few components. Based on the findings, the MLPReg algorithm with optimum parameters gives better results than others in terms of commonly used statistical error evaluation metrics. Besides, chosen algorithms can give rather accurate results using just a few attributes of a slump flow dataset.

• Journal of Korean Academy of Nursing
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• v.35 no.2
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• pp.292-302
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• 2005

Purpose: Concept analysis was performed on the behavioral concept of endotracheal suctioning (ETS), to identify the goal, to develop astandardized clinical protocol, to identify the antecedents and consequences, and to differentiate the improper use of ETS. Method: Walker & Avant's concept analysis was employed using clinical guidelines, books and review articles in which the procedures of ETS were written in detail and published in Pubmed within the last 20 years. Result: The macro-goal of ETS was to remove accumulated respiratory secretions. Three defining attributes of ETS were identified; catheter, suctioning and asepsis. Each attribute involved empirical referents, such as the size and depth of the catheter, the suction pressure, duration and method for suctioning. The antecedents of ETS were identical to the clinical evidences for the need of ETS such as the nursing assessment data. The consequences of ETS serve as an evaluation criteria on the effectsof ETS based on the goal of ETS. Conclusion: The concept analysis of ETS demonstrates an example of considering a specific nursing protocol of ETS as a behavioral concept, applying concept analysis to it to identify it's key behavioral components as defining attributes and empirical referents and then developing and applying the standard ETS protocol.

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.5
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• pp.37-44
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• 2010

Impact noise is induced in a car when it is driven on a harsh road or over some bumps. This noise occurs with the very high level of sound, which affects passengers in some way or other. Although it is impossible to clearly remove such noise, it is necessary to research an improvement in sound quality for impact noise. A new sound metric for impact sound is presented. This metric is verified by comparison between mean subjective ratings and several sound metrics. In this paper, more objective attributes are considered, which the attributes are expressing the level and modulation of sound. Three sound metrics are employed to get impact sound indexes for each course by the method of multiple linear regressions. The indexes are verified by considering the correlation between the estimated values from the multiple linear regressions and the mean subjective ratings by evaluators. Also, the subjective ratings on the indexes are estimated for the case in which some parts of suspension system are changed. The estimated ratings represent more reasonable or acceptable ratings. Thus, such indexes can be used for modification of the parts of suspension system under considering a good sound quality.

• Food Science of Animal Resources
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• v.35 no.2
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• pp.225-231
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• 2015

Fish sarcoplasmic protein (SP) obtaining from lyophilization was evaluated its effect on the qualities of the no-fat chicken sausages in the presence of microbial transglutaminase (MTG) as compared to sodium tripolyphosphate (STPP). The cooking yields of all sausage samples were not different. Expressible moisture (EM) of sausage samples was reduced by adding fish SP, while the lowest EM values were observed in sausage samples containing STPP. The pH values of sausage samples were increased with the addition of fish SP and STPP. Proximate analysis revealed that the moisture, fat, and protein contents of all samples were not different (p>0.05). Textural properties (TP), measured by texture profile analysis, showed that hardness of no-fat sausages increased upon adding fish SP. However, the highest TP values were found in sausage samples with STPP. The redness values were reduced in sausage samples with STPP, while other color values were not affected by STPP. Sensory evaluation revealed that sausages with fish SP were accepted at the higher level than that of control. However, sausage samples with STPP showed highest TP and acceptability. Thus, partial substitution of STPP by SP would be possible to reduce phosphate level in the chicken sausages.