• Journal of Food Hygiene and Safety
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• v.34 no.2
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• pp.199-204
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• 2019

This study aimed to generate a probability distribution model based on temperature data of frozen food storage facility as input variables for microbial risk assessment (MRA). We visited 8 food-handling businesses to collect temperature data from their cold storage warehouses. The overall mean temperature inside the storage facilities was $-20.48{\pm}3.08^{\circ}C$, with 20.4% of the facilities having above $-18^{\circ}C$, with minimum and maximum temperature values of -10.3 and $-25.80^{\circ}C$ respectively. Temperature distributions by space locations of natural and forced convection were $-22.57{\pm}0.84$ and $-17.81{\pm}1.47^{\circ}C$, $-22.49{\pm}1.05$ and $-17.94{\pm}1.44^{\circ}C$, and $-22.68{\pm}1.03$ and $-18.08{\pm}1.42^{\circ}C$ in the upper (2.4~4 m), middle (1.5~2.4 m), and lower (0.7~1.5 m) shelves, respectively. Probability distributions from the temperature data were obtained using the program @RISK. Statistical ranking was determined using goodness of fit to determine the probability distribution model. Our results show that a log-normal distribution [5.9731, 3.3483, shift (-26.4281)] is most appropriate for relative MRA conduction.

• The Korea Journal of Herbology
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• v.34 no.5
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• pp.21-28
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• 2019

Objectives : In present study, we investigated a therapeutic effect and optimum dose of Socheongryong-Tang (SCT) on LPS-induced lung inflammation rats model. Methods : Male Sprague-Dawley rats ($260{\pm}10g$) were divided into 12 groups : Group 1 included the normal rats, and Group 2-12 were administrated LPS by intranasal injection to induce experimental lung inflammation. After 1 day of LPS administration, Group 3-9 were treated with SCT ${\times}1/4$, ${\times}1/2$, ${\times}1$, ${\times}3$, ${\times}6$, ${\times}12$ or ${\times}18$, respectively. Group 10-12 (positive control) were treated with dexamethasone 1 mg/kg or acetylcystein 1.5 mg/kg or diclofenac sodium 0.4 mg/kg, respectively. After sacrifice, bronchoalveolar lavage fluid (BALF) was isolated. The levels of IL-$1{\beta}$, TNF-${\alpha}$, mucin glycoprotein 5AC (MUG5AC) were measured in BALF using enzyme-linked immunosorbent assay (ELISA). Results : LPS injected rats exhibited outstanding lung inflammation manifestations, including increased amount of total cells and neutrophil, and upregulated inflammatory cytokines level in BALF. However, the administration of SCT ${\times}1/4$, ${\times}1/2$ and ${\times}1$ decreased total cells and neutrophil, and suppressed the production of inflammatory cytokines, including $IL-1{\beta}$ and TNF-${\alpha}$, and MUG5AC in BALF. Notably, inhibitory effect of SCT ${\times}1/2$ and ${\times}1$ on the level of TNF-${\alpha}$ was markedly better than that of positive controls, dexamethasone and acetylcystein. Conclusions : Taken together, these results suggest that SCT ${\times}1/2$ and ${\times}1$ has therapeutic effects on LPS-induced lung inflammation rats model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7324-7330
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• 2014

Color distortion of the dark images acquired under a low-light-level environment with a weak light source can be cause of the performance decreation of various vision systems. Therefore, recovering the original color of the images is an important process for enhancing the performance of the system. For this, this study proposes a color restoration method using a dichromatic reflection model. This paper assumes that the dark images can be classified into two parts affected by specular or diffuse reflection. Two different color constancy methods were then applied to the images to remove the effects of each reflection and two images were created as a result. The resulting images produced a one color-corrected image by combining with different weights according to the position in the images. For the performance evaluation, this paper used a synthesized image, and considered the Euclidean distance and angular error as an evaluation factor. In addition, a performance comparison was performed with the existing various color constancy method to achieve the objectivity of evaluation. The experimental results showed that the proposed method can be a more suitable solution for color restoration than the existing method.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.83-96
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• 2021

Objective : This study aimed to determine Korea-type family function factors that affect individual growth and social activities, and examine check the appropriate contents and domestic culture components based on the McMaster model, a family function evaluation tool, through the Delphi technique. Methods : The Delphi technique was applied to 12 expert panels in fields related to family function. The period lasted 9 weeks, from May to June 2020. The Delphi survey was conducted twice. In the first survey, the domestic culture and appropriate contents of the McMaster model were selected and localized, and expert' opinions about the components were collected using closed and open-ended questions. In the second survey, the fitness and importance of the components were investigated. Results : As a result of the first Delphi investigation, 18 items were deleted from the 53 items presented. After adding 11 items and excluding any overlapping items, a total of 40 items were selected. Subsequently, sentences that were difficult to understand were revised to familiar vocabulary. A second survey was constructed, with an example sentence. In the second Delphi investigation, 33 items were selected. The average content validity ratio for the final selected component was 0.76, and the stability was 0.28. Conclusion : Family function and the factors influencing domestic family function identified though this study can be used to conduct family function evaluations and interventions in clinical sites or relevant research studies.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.3
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• pp.181-192
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• 2022

Active vibration control system(AVCS) for helicopter enables to control the vibration generated from the main rotor and has the superb vibration reduction performance with low weight compared passive vibration reduction device. In this paper, FxLMS algorithm-based vibration control software of the light civil helicopter tansmits the control command calculated using the signals of the tachometer and accelerometers to the circular force generator(CFG) is developed and verified. According to the RTCA DO-178C/DO-331, the vibration control software is developed through the model based design technique, and real-time operation performance is evaluated in PILS(processor in-the loop simulation) and HILS(hardware in-the loop simulation) environments. In particular, the reliability of the software is improved through the LDRA-based verification coverage in the PIL environments. In order to AVCS to light civil helicopter(LCH), the dynamic response characteristic model is obtained through the ground/flight tests. AVCS configuration which exhibits the optimal performance is determined using system optimization analysis and flight test and obtain STC certification.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.89-106
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• 2022

Recently, the amount of video data collected from smartphones, CCTVs, black boxes, and high-definition cameras has increased rapidly. According to the increasing video data, the requirements for analysis and utilization are increasing. Due to the lack of skilled manpower to analyze videos in many industries, machine learning and artificial intelligence are actively used to assist manpower. In this situation, the demand for various computer vision technologies such as object detection and tracking, action detection, emotion detection, and Re-ID also increased rapidly. However, the object detection and tracking technology has many difficulties that degrade performance, such as re-appearance after the object's departure from the video recording location, and occlusion. Accordingly, action and emotion detection models based on object detection and tracking models also have difficulties in extracting data for each object. In addition, deep learning architectures consist of various models suffer from performance degradation due to bottlenects and lack of optimization. In this study, we propose an video analysis system consists of YOLOv5 based DeepSORT object tracking model, SlowFast based action recognition model, Torchreid based Re-ID model, and AWS Rekognition which is emotion recognition service. Proposed model uses single-linkage hierarchical clustering based Re-ID and some processing method which maximize hardware throughput. It has higher accuracy than the performance of the re-identification model using simple metrics, near real-time processing performance, and prevents tracking failure due to object departure and re-emergence, occlusion, etc. By continuously linking the action and facial emotion detection results of each object to the same object, it is possible to efficiently analyze videos. The re-identification model extracts a feature vector from the bounding box of object image detected by the object tracking model for each frame, and applies the single-linkage hierarchical clustering from the past frame using the extracted feature vectors to identify the same object that failed to track. Through the above process, it is possible to re-track the same object that has failed to tracking in the case of re-appearance or occlusion after leaving the video location. As a result, action and facial emotion detection results of the newly recognized object due to the tracking fails can be linked to those of the object that appeared in the past. On the other hand, as a way to improve processing performance, we introduce Bounding Box Queue by Object and Feature Queue method that can reduce RAM memory requirements while maximizing GPU memory throughput. Also we introduce the IoF(Intersection over Face) algorithm that allows facial emotion recognized through AWS Rekognition to be linked with object tracking information. The academic significance of this study is that the two-stage re-identification model can have real-time performance even in a high-cost environment that performs action and facial emotion detection according to processing techniques without reducing the accuracy by using simple metrics to achieve real-time performance. The practical implication of this study is that in various industrial fields that require action and facial emotion detection but have many difficulties due to the fails in object tracking can analyze videos effectively through proposed model. Proposed model which has high accuracy of retrace and processing performance can be used in various fields such as intelligent monitoring, observation services and behavioral or psychological analysis services where the integration of tracking information and extracted metadata creates greate industrial and business value. In the future, in order to measure the object tracking performance more precisely, there is a need to conduct an experiment using the MOT Challenge dataset, which is data used by many international conferences. We will investigate the problem that the IoF algorithm cannot solve to develop an additional complementary algorithm. In addition, we plan to conduct additional research to apply this model to various fields' dataset related to intelligent video analysis.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.918-925
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• 2006

Recent development of teachable agent provides learners with active roles as knowledge constructors and focuses on the individualization. The aim of this adaptive agent is not only to maximize the learner's cognitive functions but also to enhance the interests and motivation to learn. In order to establish the relationships among user characteristics and response patterns and to extract the algorithm among variables, we measured the individual characteristics and analyzed logs of the teachable agent named KORI (KORea university Intelligent agent) through the student modeling. A correlation analysis was conducted to identify the relationships among individual characteristics, user responses, and learning outcomes. Among hundreds of possible relationships between numerous variables in three dimensions, nine key user responses were extracted, which were highly correlated with either individual characteristics and learning outcomes. The results suggest that certain type of learner responses or the combination of the responses would be useful indices to predict the learners' individual characteristics and ongoing learning outcome. This study proposed a new type of dynamic assessment for individual differences and ongoing cognitive/motivational learning outcomes through the computation of responses without measuring them directly. The construction of individualized student model based on the ongoing response pattern of the user that are highly correlated with the individual differences and learning outcome may be the useful methodology to understand the learner's dynamic change during learning.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.28 no.1
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• pp.38-43
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• 2017

This study analyzes the role of the Sorting Hat in structuring the identity of the characters in the Harry Potter series written by J. K. Rowling. In the different stages of adolescence, one explores and re-establishes one's identity. One's sense of identity is determined by the commitments made regarding personal and social traits. However, it is difficult to establish a concrete identity formation process theory that is communicable to adolescents. In Harry Potter, the characters' identities are reflected upon the Sorting Hat and are continuously molded throughout the book. The Sorting Hat provides nurturing experiences based on temperament. Based primarily on their temperament, it sorts the students into four houses, each with their own distinct characteristics. Once sorted, the houses become the living and learning communities in which the students share the same dormitory and classes until their graduation. Within the community, the students seek connections, supportive relationships, and understanding within the group. The taking on of the group identity is an explanatory variable in the formation of individual identity. The Sorting Hat provides the students with stability and a safe boundary. After being sorted based on their temperament, the inexperienced and immature adolescents can explore different options under the guidance of the Hat before making a definite commitment. By presenting them with an appropriate environment (such as a mentor, friend, or family member), the Hat further shapes their identity and integrates the identity elements ascribed in the beginning. By providing experiences and interactions based on their unique temperament and environment, the Sorting Hat plays a crucial role in establishing the students' identities. The Sorting Hat can be an ideal model for finding one's identity during adolescence.

• The Journal of Pediatrics of Korean Medicine
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• v.29 no.4
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• pp.97-107
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• 2015

Objectives Hataedock is the treatment that dispels toxic heat and meconium gathered at the fetus for the new born baby by orally administered herbal extracts. The purpose of this study was to evaluate whether Hataedock alleviate inflammatory skin damages in AD-induced NC/Nga mice through regulating of skin barrier maintain and Th2 differentiation. Methods We established an AD model in the 3-week-old NC/Nga mice through the repeated application of DNFB (dinitrochlorobenzene) on days 28, 35, 42 after Hataedock treatment which was orally administered. We identified the changes of skin barrier and Th2 differentiation through the histological and immunohistochemical changes of protein kinase C (PKC), interleukin (IL)-4, degranulated mast cell, Substance P and MMP-9. Results Our results suggested that Hataedock treatment significantly down-regulated levels of PKC by 82% (p < 0.001), as well as IL-4 by 56% (p < 0.001). Hataedock also suppressed mast cell infiltration, ear edema formation. and Substance P in the tissue of NC/Nga mice were decreased by 57% (p < 0.001), and MMP-9 by 55% (p < 0.001). Conclusions These results suggest that Hataedock alleviates AD through the down-regulation of PKC and Th2 cytokines, which are involved in the initial steps of AD development. Hataedock have potential application for the treatment of AD.

• Journal of The Korean Astronomical Society
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• v.36 no.spc1
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• pp.83-91
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• 2003

There are terrestrial signatures of the solar activity cycle in ice core data (Ram & Stoltz 1999), but the variations in the sun's irradiance over the cycle seem too small to account for the signature (Lean 1997; Goode & Dziembowski 2003). Thus, one would expect that the signature must arise from an indirect effect(s) of solar activity. Such an indirect effect would be expected to manifest itself in the earth's reflectance. Further, the earth's climate depends directly on the albedo. Continuous observations of the earthshine have been carried out from Big Bear Solar Observatory since December 1998, with some more sporadic measurements made during the years 1994 and 1995. We have determined the annual albedos both from our observations and from simulations utilizing the Earth Radiation Budget Experiment (ERBE) scene model and various datasets for the cloud cover, as well as snow and ice cover. With these, we look for inter-annual and longer-term changes in the earth's total reflectance, or Bond albedo. We find that both our observations and simulations indicate that the albedo was significantly higher during 1994-1995 (activity minimum) than for the more recent period covering 1999-2001 (activity maximum). However, the sizes of the changes seem somewhat discrepant. Possible indirect solar influences on the earth's Bond albedo are discussed to emphasize that our earthshine data are already sufficiently precise to detect, if they occur, any meaningful changes in the earth's reflectance. Still greater precision will occur as we expand our single site observations to a global network.