• Journal of Industrial Convergence
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• v.20 no.4
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• pp.71-77
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• 2022

It is a reality that office workers in modern society cannot overlook their appearance management for promotion in the workplace that does not fall behind in competition with others and smooth human relationships. According to this social trend, it is time to conduct an in-depth cosmetology study on the appearance management and perception of office workers, including hair styles. Therefore, this study analyzed the hair style type and preference closely by cross-analyzing the differences between groups by classifying the occupational persons of female airline crew, female soldiers, female sportsmen, female lawyers, and female nurses into age, marriage, academic background, and occupation. As result of study, it was found that different women in each occupational group had different results, such as their current hair style type and hair texture, the use of current hair styling products, and their personal preference for women's hairstyles and hair colors. This study will be used as basic data for developing new mode items that meet customer needs in the beauty marketing market and researching customer demand.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.57 no.4
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• pp.382-389
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• 2021

By applying super-high pressure (150-250 MPa) to a sealed pressure vessel, it is possible to make oyster shucking machine that automatically opens two-sheet shellfish or oysters. Possibility of developing a shucking machine was confirmed by identifying the working pressure for meat of oysters produced in the southern coast and conducting sensory evaluation of meat oysters. As a result of confirming the shucked oysters under super-high pressure of 150 MPa in the pressure vessel, the number of type A with separated shells and well-separated meat was 22 and type B with both shells and internal meat and shells not separated. For the oysters that were treated at 175 MPa, there were 58 type As with shell separated and meat well separated and 42 type Bs without oyster shells and insides. When looking at the oysters shucked at 200 MPa in the pressure vessel, the number of type A was 86 and type B was 14 accounting for 86% of oysters with good marketability. As a result of shucking oysters by applying 250 MPa, 96% type A oysters and 4% type B oysters were obtained from the total specimen. The total specimen oyster weight used in the conducted experiment was 6 kg, the average oyster shell weight was 3.99 kg and the average oyster meat weight was 1.25 kg. Therefore, the fatness of oyster meat, which measures the added value of oysters, is 20.8%. Sensory evaluation was conducted on thinned oysters by hand and type A oysters shelled by machine with an operating pressure of 200 MPa. The hand-worked oyster sample scored 4.7 points only in salty taste, and scored 5.0 or higher in color, shape, smell, fishy taste, texture and preference.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.679-700
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• 2022

Purpose: Smart lighting adjusts brightness and color temperature according to weather, the user's activity, mood, etc. This study performed user experience(UX) evaluation of smart lighting in a living lab. The purpose of evaluating UX and analyzing the evaluation results is to improve user-friendliness and market competitiveness of smart lighting Methods: A living lab is a virtual or physical space where various stakeholders participate to develop, verify, and evaluate products, services, or systems in a real-life environment. In this study, an environment of using smart lighting was established in the Smart Safety Living Lab. Subjects performed UX evaluation after interacting freely with smart lighting in the Smart Safety Living Lab. Results: As a result of UX evaluation, it was confirmed that UX was overall excellent and subjects were satisfied with setting a desired indoor mood through smart lighting. However, operating the switch of smart lighting may be difficult due to its complexity, and it is needed to improve some functionalities such as the brightness range provided by smart lighting. Conclusion: This study is expected to contribute to establishing the way of UX improvement of smart lighting. This study is also expected to contribute to developing smart lighting as a high-quality product by reflecting the subjects' needs and UX derived in a real-life environment.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.4
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• pp.494-504
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• 2023

Sik-hae is a traditional and well-liked salt-fermented seafood with a low salt concentration in Korea. However, it is challenging to find data on market degradation. This study was conducted to investigate sensual characteristics, such as taste, odor and color, of 10 types of commercial Sik-haes [flounder (5 type), Alaska pollock (2 type), black edged sculpin, anchovy, and sandfish] as basic data for developing new products. The salinities of the commercial Sik-haes were significantly difference in the range of 3.0-6.7%. The pH and total acidity of 10 types of commercial Sik-haes were 4.45-5.24 and 0.84-1.46 g/100 g, respectively. The amino acid nitrogen and free amino acid contents, and total taste value were 72.0-333.0 mg/100 g, 425.6-1,726.4 mg/100 g and 17.0-115.9, respectively. According to the taste value, the major taste-related amino acids were aspartic acid and glutamic acid. Volatile basic nitrogen content and Hunter redness value of commercial Sik-haes were 24.5-80.9 mg/100 g and 10.9-28.5, respectively. However, food-grade additives, such as citric acid and monosodium, are occasionally used in commercial Sik-haes to achieve a lower pH or enhance flavor and aroma.

• Journal of the FoodService Safety
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• v.4 no.1
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• pp.7-20
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• 2023

This study was conducted to investigate the impact of refrigerator type and temperature fluctuations on the quality changes of refrigerated foods. Phycochemical and sensory quality, as well as microbial growth, were measured for various foods stored in open- or door-type refrigerators set at 5℃ during storage. The average temperatures recorded were 11.50±1.14℃ in an open refrigerator, and 6.34±0.97℃ in a closed refrigerator. The average surface temperatures of the food items were 9.60±1.20 and 6.00±0.80℃ for open and closed refrigerators, respectively. Significant changes in color and appearance quality were observed in lettuce, mackerel, ground beef, and cut pineapples when stored in open refrigerators. Ready-to-Eat foods such as gimbap and sandwiches exhibited higher levels of microbiological proliferation when stored in open refrigerators compared to closed refrigerators. Processed foods, such as sterilized milk and packaged tofu, did not show significant differences in quality among various types of refrigerators. The installation of refrigerator doors can effectively minimize temperature fluctuations caused by external factors, thereby reducing variations in food quality. These findings provide essential insights into the quality changes associated with the implementation of refrigerator doors, serving as fundamental data for ensuring optimal food preservation.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.2
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• pp.151-165
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• 2023

This study aims to develop a mechanic embroidery bag design that reflects the symbolic image of Korean independence activists who sacrificed for the country so that today's Korea can exist. As a research method, the theoretical consideration and image collection of independence activists were conducted through a literature review and visits to the memorial halls of six independence activists. The bag design was developed using mechanic embroidery textile of 12 motifs manufactured in previous studies through the computer mechanic embroidery sewing machine, and the types were limited to totes, Boston, clutches, baskets, shoppers, hover bags, and hat boxes. The results of this study are as follows. First, it was found that the dense light and shade and delicate color expression of each motif design were the most important and achieved through the proper selection and utilization of embroidery yarn according to the mechanic embroidery expression technique for developing in-depth textile materials. Second, unlike in the past, when machine embroidery was difficult to handle, the spread of embroidery CAD and computer machine embroidery sewing machines made it easier for individuals to develop embroidery products. Third, this study once again emphasized the symbolism of Korean independence activists who sacrificed for the nation to exist at a time when it needs to be recognized due to the lack of fashion and diversity in cultural products containing historical and cultural meaning and values of the country. This study was able to develop computer machine embroidery textiles and various bag designs using various mechanic embroidery expression techniques that can highlight the symbolic image of each motif.

• Animal Bioscience
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• v.36 no.10
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• pp.1465-1487
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• 2023

The purpose of this study was to investigate the recent development of meat analog, industrialization, and the related legal changes worldwide. Summarizing the current status of the industrialization of meat analog, studies on plant-based meat, mycoprotein, and edible insects were mainly conducted to investigate their sensory properties (texture, taste, flavor, and color resembling meat), nutritional and safety evaluations, acquisition method of meat alternatives, and commercialization. Cultured meat is mainly studied for developing muscle satellite cell acquisition and support techniques or materials for the formation of structures. However, these technologies have not reached the level for active industrialization. Even though there are differences in the food categories and labeling between countries, it is common to cause confusion or to relay false information to consumers; therefore, it is important to provide accurate information. In this study, there were some differences in the food classification and food definition (labeling) contents for each country and state depending on the product shape or form, raw materials, and ingredients. Therefore, this study can provide information about the current research available on meat alternatives, improve regulation, and clarify laws related to the meat analog industry, which can potentially grow alongside the livestock industry.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.403-411
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• 2013

Horizontal construction projects such as oil and gas pipeline projects typically involve repetitive-work activities with the same crew and equipment from one end of the project to the other. Repetitive scheduling also known as linear scheduling is known to have superior schedule management capabilities specifically for such horizontal construction projects. This study discusses on expanding the capabilities of repetitive scheduling to account for the variance in production rates and visual representation by developing an automated alignment based linear scheduling program for applying temporal and spatial changes in production rates. The study outlines a framework to apply changes in productions rates when and where they will occur along the horizontal alignment of the project and illustrates the complexity of construction through the time-location chart through a new linear scheduling model, Linear Scheduling Model with Varying Production Rates (LSM_VPR). The program uses empirically derived production rate equations with appropriate variables as an input at the appropriate time and location based on actual 750 mile natural gas liquids pipeline project starting in Wyoming and terminating in the center of Kansas. The study showed that the changes in production rates due to time and location resulted in a close approximation of the actual progress of work as compared to the planned progress and can be modeled for use in predicting future linear construction projects. LSM_VPR allows the scheduler to develop schedule durations based on minimal project information. The model also allows the scheduler to analyze the impact of various routes or start dates for construction and the corresponding impact on the schedule. In addition, the graphical format lets the construction team to visualize the obstacles in the project when and where they occur due to a new feature called the Activity Performance Index (API). This index is used to shade the linear scheduling chart by time and location with the variation in color indicating the variance in predicted production rate from the desired production rate.

• ETRI Journal
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• v.46 no.2
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• pp.290-306
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• 2024

To treat the novel COronaVIrus Disease (COVID), comparatively fewer medicines have been approved. Due to the global pandemic status of COVID, several medicines are being developed to treat patients. The modern COVID medicines development process has various challenges, including predicting and detecting hazardous COVID medicine responses. Moreover, correctly predicting harmful COVID medicine reactions is essential for health safety. Significant developments in computational models in medicine development can make it possible to identify adverse COVID medicine reactions. Since the beginning of the COVID pandemic, there has been significant demand for developing COVID medicines. Therefore, this paper presents the transferlearning methodology and a multilabel convolutional neural network for COVID (MLCNN-COV) medicines development model to identify negative responses of COVID medicines. For analysis, a framework is proposed with five multilabel transfer-learning models, namely, MobileNetv2, ResNet50, VGG19, DenseNet201, and Inceptionv3, and an MLCNN-COV model is designed with an image augmentation (IA) technique and validated through experiments on the image of three-dimensional chemical conformer of 17 number of COVID medicines. The RGB color channel is utilized to represent the feature of the image, and image features are extracted by employing the Convolution2D and MaxPooling2D layer. The findings of the current MLCNN-COV are promising, and it can identify individual adverse reactions of medicines, with the accuracy ranging from 88.24% to 100%, which outperformed the transfer-learning model's performance. It shows that three-dimensional conformers adequately identify negative COVID medicine responses.

• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.4
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• pp.27-39
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• 2024

Soil texture is determined by the proportions of sand, silt, and clay within the soil, which influence characteristics such as porosity, water retention capacity, electrical conductivity (EC), and pH. Traditional classification of soil texture requires significant sample preparation including oven drying to remove organic matter and moisture, a process that is both time-consuming and costly. This study aims to explore an alternative method by developing an AI model capable of predicting soil texture from images of pre-sorted soil samples using computer vision and deep learning technologies. Soil samples collected from agricultural fields were pre-processed using sieve analysis and the images of each sample were acquired in a controlled studio environment using a smartphone camera. Color distribution ratios based on RGB values of the images were analyzed using the OpenCV library in Python. A convolutional neural network (CNN) model, built on PyTorch, was enhanced using Digital Image Processing (DIP) techniques and then trained across nine distinct conditions to evaluate its robustness and accuracy. The model has achieved an accuracy of over 80% in classifying the images of pre-sorted soil samples, as validated by the components of the confusion matrix and measurements of the F1 score, demonstrating its potential to replace traditional experimental methods for soil texture classification. By utilizing an easily accessible tool, significant time and cost savings can be expected compared to traditional methods.