• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.150-156
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• 2022

As the 4th industrial revolution emerges, the implementation of smart factories are essential in the manufacturing industry. However, 80% of small and medium-sized enterprises that have introduced smart factories remain at the basic level. In addition, in root industries such as injection molding, PLC and HMI software are used to implement functions that simply show operation data aggregated by facilities in real time. This has limitations for managers to make decisions related to product production other than viewing data. This study presents a method for upgrading the level of smart factories to suit the reality of small and medium-sized enterprises. By monitoring the data collected from the facility, it is possible to determine whether there is an abnormal situation by proposing an appropriate algorithm for meaningful decision-making, and an alarm sounds when the process is out of control. In this study, the function of HMI has been expanded to check the failure frequency rate, facility time operation rate, average time between failures, and average time between failures based on facility operation signals. For the injection molding industry, an HMI prototype including the extended function proposed in this study was implemented. This is expected to provide a foundation for SMEs that do not have sufficient IT capabilities to advance to the middle level of smart factories without making large investments.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.6
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• pp.13-19
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• 1995

A dual purpose robot automation system is developed for both arc welding and spot welding by one robot within a cell. The need for automation of both arc welding and spot welding processes is urgent while the production volume is not so big as to accommodate separate stations for the two processes. Also, space is too narrow for separate stations to be settled down in the factory. A spot welding robot is chosen and the functions for arc welding are implemented in-house at cost of advanced functions. For the spot welding, a single pole type gun is used and the robot has to push down the plate to be wolded, which causes the robot positioning error. Therefore, position error compensation algorithm is developed. The basic functions for the arc welding processes are implemented using the digital I/O board of robot controller, PLC, and A/D conversion PCB. The weaving pattern is taught in meticulously by manual teach. A fixture unit is also developed for dual purpose. The main aspects of the system is presented in this paper especially in the design and implementation procedure. The signal diagrams and sequence logic diagrams are also included. The outcome of the dual purpose welding cell is the increased productivity and good production stability which is indispensable for production volume prediction. Also, it leads to reduction of manufacturing lead time.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.2
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• pp.84-90
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• 2022

Machine tool state monitoring is a process that automatically detects the states of machine. In the manufacturing process, the efficiency of machining and the quality of the product are affected by the condition of the tool. Wear and broken tools can cause more serious problems in process performance and lower product quality. Therefore, it is necessary to develop a system to prevent tool wear and damage during the process so that the tool can be replaced in a timely manner. This paper proposes a method for diagnosing five tool states using a deep learning-based hierarchical convolutional neural network to change tools at the right time. The one-dimensional acoustic signal generated when the machine cuts the workpiece is converted into a frequency-based power spectral density two-dimensional image and use as an input for a convolutional neural network. The learning model diagnoses five tool states through three hierarchical steps. The proposed method showed high accuracy compared to the conventional method. In addition, it will be able to be utilized in a smart factory fault diagnosis system that can monitor various machine tools through real-time connecting.

• Korea Trade Review
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• v.41 no.1
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• pp.159-186
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• 2016

This study analyzes the degree of dependency and comparative advantage of each country for intermediate goods trade in East Asia, which predicts the comparative advantage of the intermediate goods trade and fragmentation in East Asia when the FTA arrangement in East Asia is implemented. The results are as follows. First, the share of intra-regional trade in the intermediate goods in East Asia has increased over time, implying the deepening of interdependency in intermediate goods trade within the East Asia. Second, Korea is a net exporter in intermediate goods trade for China and ASEAN, whereas it is a net importer for Japan. Japan is a high net exporter for all East Asia, while China is a net importer for Korea, Japan and ASEAN. If FTA arrangement in East Asia is implemented, Japan and Korea will be key suppliers of the intermediate goods for East Asia, while China and ASEAN will play a role of the manufacturing factory through the import of intermediate goods. Third, Korea has a comparative advantage in intermediate trade of electric and electronics and transport vehicle industry in East Asia. Japan has a comparative advantage in all of electric and electronics, transport vehicle, precision instrument, general machinery industry, whereas China has a comparative advantage only in electric and electronics intermediate trade in East Asia. The intra-industry trade of the intermediate goods in precision instrument, general machinery industry is expected to grow among Korea, Japan and China.

• Transactions of Materials Processing
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• v.31 no.3
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• pp.124-128
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• 2022

NdFeB magnets have been positioned as the core materials in advanced technologies such as MRI (magnetic resonance imaging), FA (factory automation system), robot, motors, and so on based on the highest magnetic properties. To effectively improve the refined microstructure, the plastic deformation has been known as the good alternatives by the recrystallization. However, it has been regarded as being impossible because of the few slip systems in the RE-Fe-B magnets at room temperature. The purpose of this study was to investigate the possibility of control of grain refinement and magnetic anisotropy of NdFeB alloy powder by the severe plastic deformation. The NdFeB magnet powder was fabricated by gas atomization process, and the powder was pre-compacted at high temperature. The pre-compacted billets were deformed by HPT (high pressure torsion), and then the deformed billets were observed microstructure and magnetic properties. After the HPT process at room temperature, the grain size decreased with increasing because of the melted Nd-rich phase, and the anisotropy of Nd₂Fe₁₄B phase was formed after the HPT process.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.57-64
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• 2024

The introduction of Smart Factories has transformed manufacturing towards more objective and efficient line management. However, most companies are not effectively utilizing the vast amount of sensor data collected every second. This study aims to use this data to predict product quality and manage production processes efficiently. Due to security issues, specific sensor data could not be verified, so semiconductor process-related training data from the "SAMSUNG SDS Brightics AI" site was used. Data preprocessing, including removing missing values, outliers, scaling, and feature elimination, was crucial for optimal sensor data. Oversampling was used to balance the imbalanced training dataset. The SVM (rbf) model achieved high performance (Accuracy: 97.07%, GM: 96.61%), surpassing the MLP model implemented by "SAMSUNG SDS Brightics AI". This research can be applied to various topics, such as predicting component lifecycles and process conditions.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.1
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• pp.100-108
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• 2016

This study investigated the quality characteristics of factory-style ssamjang (FSS) and commercial handmade-style ssamjang (HSS) products. Moisture, crude protein, and crude fat contents were significantly higher in the HSS groups (49.37~62.12%, 9.39~13.46%, and 4.40~8.35%) than the FSS groups (41.94~45.83%, 7.50~9.09%, and 1.81~3.36%). Salt content was higher in the HSS groups (6.33~11.18%) than the FSS groups (6.10~7.57%). Moreover, the average salt content (7.51%) of the HSS groups and the FSS groups was lower than that of commercial ssamjang (8.73%). Hunter's color value was also significantly higher in the FSS groups. However, free sugar, organic acid, and free amino acids contents varied greatly between the FSS groups and the HSS groups, which was likely due to the different manufacturing method, ripening degree of doenjang and the main material used for ssamjang.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.11
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• pp.1436-1443
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• 2007

This study was conducted to investigate the shelf-life and quality of Takju added with Glycyrrhiza uralensis (GU), Menthae herba(MH), Schizandra chinensis(SC), and chitosan (C) during storage at $10^{\circ}C$ for 12 days. The viable cell and yeast cell numbers of the Takju treated with Schizandra chinensis powder (SCP) and C were moderately reduced compared with those of the standard. The SC and C Takju were shown to have the lowest oxidations. For turbidity, the SC and C Takju were the most stabilized. Among the treatments, sugar content, pH, and acidity showed no significant differences during storage. However, the lightness, yellowness, and redness value of all the samples were higher than those of the standard. In the sensory evaluation, the standard, SCP, and C scored comparatively higher than the other samples at 0 day. On the other hand, SC and C, GU+MH, and C scored higher after 9 days. From these results, treating Takju with SCP, GU, MH, SC, and C resulted in improvements with regards to its preservation and development of quality.

• Korean Journal of Food Science and Technology
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• v.30 no.2
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• pp.324-332
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• 1998

In order to standardize the chinese cabbage kimchi, the preparation method, kinds of ingredients and levels of the ingredients were determined by the statistical survey of literatures obtained from cooking books, scientific papers and kimchi manufacturing factory. The standardized ingredient kinds and ratio of chinese cabbage kimchi were $13.0{\pm}7.0$ of radish, $2.0{\pm}0.5$ of green onion, $3.5{\pm}0.8\;or\;2.5{\m}0.3$ of red pepper powder, $1.4{\pm}0.4$ of garlic, $0.6{\pm}0.3$ of ginger, $2.2{\pm}1.6$ of anchovy juice, and $1.0{\pm}0.3$ of sugar in the proportion of 100 salted chinese cabbage, and the final salt concentration was adjusted to 2.7% using salt. Red pepper powder level was quite different from the literature sources, so sensory evaluation, chemical properties and antimutagenic effect and growth inhibitory effect on human cancer cells of the kimchi samples were studied to decide the proper ratio of the red pepper powder as an ingredient. Red pepper powder 3.5% (average level for kimchi manufacturing factory) added kimchi was better in quality than red pepper powder 2.5% (average level for cooking books and scientific papers) added kimchi in sensory evaluation and chemical properties. The juice of red pepper powder 3.5% added kimchi showed not only the stronger antimutagenicity against aflatoxin $B_1$ in Salmonella typhimurium TA100 but also the higher inhibitory effect on the growth of AGS human gastric adenocarcinoma cells in SRB assay than that of red pepper powder 2.5% added kimchi. In conclusion, the standardized ratio of the ingredients was 13.0 radish, 2.0 green onion, 3.5 red pepper powder, 1.4 garlic, 0.6 ginger, 2.2 anchovy juice, 1.0 sugar, and 2.7 final salt concentration in the proportion of 100 salted chinese cabbage.

• Journal of the Economic Geographical Society of Korea
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• v.4 no.2
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• pp.1-22
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• 2001

The object of this research is to explain types and factors of locations and regional linkages of manufacturing firms in rural areas using Eumsung County as a case of rural areas. Eumsung County is now vigorously industrializing owing to the government policy dispersing factories in the Capital region. The results of the survey conducted on industrial firms in Eumsung County through questionnaires reveal that individual sites are dominantly preferred by factory owners in comparison to the designated industrial complexes because the former is cheaper in land price. The main factors of industrial location in Eumsung County are cheap land cost, convenient highway accessibility, and the dispersion policy of the Capital region. In terms of the regional linkage, the proportion of the linkage with other regions is larger than that within the local region in case of purchasing raw materials, but the linkage with other regions is lower than that within the local regions in case of selling products. Also most white collar employees in Eumsung County were revealed to reside in and around the Capital region. In order to develop and maintain industrial firms in rural areas so as to avoid "dependency development," efforts for improving of the linkages between the local firms and expanding of social overhead capital are necessary.necessary.