• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 2002.10b
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• pp.213-214
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• 2002

WC cemented carbide are used as many die material to improve abration resistance. Mechanical properties of the cemented carbide were influenced by Co content and WC grain size. In this study, effects of Co content and WC grain size of WC cemented carbide on wear were examied. We prepared 13 cemented carbides with different Co content and WC grain size. Wear test was carried out against S45C under dry condition at 98N and 232mm/s. From the results, we found that wear increased with both Co content and WC grain size. Specific wear rate was range $10^{-7}mm^3/Nm$.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.10a
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• pp.121-122
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• 2016

Recently in the domestic construction industry, source depletion has resulted in instances of ready-mixed concrete companies using river sand or crushed sand with high fine particle content. But the use of such low-quality fine aggregate is known to cause concrete quality to decline and have negative effects. So this study analyzed how much of an impact changes in fine particle content have on cement mortar's engineering characteristics. As a result, the flow rate and air quantity, which are characteristics of unhardened mortar, were shown to decrease as fine particle content increased, and compression strength, a characteristic of light mortar, was shown to subtly increase as fine particle content decreased.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.109-120
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• 2006

Enterprise Content Integration (ECI)is an IT strategy that improves enterprise' competitive advantages by integrating enterprise wide information and content into a unified view, which in turn supports efficient and effective decision making. Content Syndication Systems (CSS) is a solution that implements the ECI strategy. In semi-conductor industries, it is usual that enterprise content is scattered over tens of legacy systems. Therefore, engineers in semi-conductor companies spend a few hours to locate required engineering information on a daily basis as part of their jobs. In this paper, we develop an enterprise CSS system that integrates enterprise wide contents into a unified view that is suitable for semi-conductor industries. For this research, we first define enterprise CSS, then identify their systems requirements. Then we propose an architecture supporting the identified requirements, and present the implemented prototype. One of the most important requirements is the individualized subscription rule setting for engineering information. For this purpose, we developed methods to represent the information properties and subscription rules.

• STI Policy Review
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• v.5 no.2
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• pp.96-121
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• 2014

This study identifies and evaluates inter-ministerial coordination for developing digital content technology in Korea and Japan. It is conducted through a comparative analysis between Korean and Japanese governmental organizations and their decision making process. Media content had been regulated or promoted by ministries involving culture in both countries. The digitalization of traditional media, however, blurred boundaries between the cultural, technological, and industrial spheres, so ministries involving science and technology, economy and trade, or foreign affairs started to promote digital content technology in the late 1990s. This has been the cause of conflicts among ministries and sometimes led to policy duplication, which in turn weakens policy effectiveness. The competition and coordination of ministries and agencies can be seen through establishing or amending related laws, organizations, and programs. Structural holes are founded in the networks drawn among governmental agencies in charge of digital content, particularly in the field of intellectual property in Korea and online distribution technology in Japan.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1258-1258
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• 2001

Estimation of sugar and reducing sugar content in molasses is very important task in sugar refineries. Conventional methods of determination of sugar content in molasses samples are highly time consuming and employ hazardous chemicals. Due to the physical properties of molasses, probability of error in conventional analytical techniques is high. These methods have proven to be inefficient for a process control in any sugar industry. Hence development of a rapid, inexpensive, physical and also accurate method for sugar determination in molasses will be highly useful. Near Infrared spectroscopy is being widely used worldwide as an analytical technique in food industry. The technique offers the advantage of being non-destructive and rapid. The present paper highlights the potential of near infrared reflectance spectroscopy as a rapid and automated analytical technique for determination of sugar and reducing sugar content in molasses. A number of molasses samples were collected during and after the sugar season from Havana Sugar Industry, Havana. The samples were chosen so as to obtain a wide range of concentration of sugar and reducing sugars. This was done in order to achieve a good calibration curve with widely spread data points. These samples were scanned in the region of 1100 - 2500 nm in diffuse reflectance mode. An indigenous ELICO NIR spectrophotometer, modified according to the requirements of sugar industry was used for this purpose. Each sample was also analyzed simultaneously by standard chemical methods. Chemical values were taken as reference for near infrared analysis. In order to obtain the most accurate calibration for the set of samples, various mathematical treatments were employed. Partial Least Square method was found to be most suitable for the analysis. A comparison is made between the actual values (chemical values) and the predicted values (NIR values). The actual values agree very well with the predicted values showing the accuracy of the technique. The validity of the technique is checked by predicting the concentration of sugar in unknown molasses samples using the calibration curve. The present investigation assesses the feasibility of the technique for on-line monitoring of sugars present in molasses in sugar industries.

• Journal of Plant Biotechnology
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• v.47 no.3
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• pp.209-217
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• 2020

The presence of high amounts of seed storage proteins (SSPs) improves the overall quality of soybean seeds. However, these SSPs pose a major limitation due to their high abundance in soybean seeds. Although various technical advancements including mass-spectrometry and bioinformatics resources were reported, only limited information has been derived to date on soybean seeds at proteome level. Here, we applied a tandem mass tags (TMT)-based quantitative proteomic analysis to identify the significantly modulated proteins in the seeds of two soybean cultivars showing varying protein contents. This approach led to the identification of 5,678 proteins of which 13 and 1,133 proteins showed significant changes in Daewon (low-protein content cultivar) and Saedanbaek (high-protein content cultivar) respectively. Functional annotation revealed that proteins with increased abundance in Saedanbaek were mainly associated with the amino acid and protein metabolism involved in protein synthesis, folding, targeting, and degradation. Taken together, the results presented here provide a pipeline for soybean seed proteome analysis and contribute a better understanding of proteomic changes that may lead to alteration in the protein contents in soybean seeds.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1061-1072
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• 2013

In order to improve executive ability in response to need of job ability in cultural content industry and in connection with industrial scene, it is required to develop curriculum for department of broadcasting, entertainment and acting First of all, environmental analysis of cultural content industry, survey on industry demand, survey on demand by enrolled students and graduated students, survey on demand by local community were made and conducted to draw job competency for acting art. In addition, the existing curriculum was analyzed through evaluation by field experts, enrolled students, and graduated students. Based on the analysis results, major curriculum was developed for department of broadcasting, entertainment and acting. Such curriculum development enables providing acting education that focuses on core competency to maximize education effect and cultivating actor who is suitable for the age of multimedia based on local infrastructure. Moreover, the curriculum development helps cultivating versatile actor, rather than famous actor.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.55 no.4
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• pp.397-407
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• 2022

This study investigated the collagen and texture properties of commonly consumed sliced raw fish species (CC-SRF) [olive flounder (OF), red seabream (RS), Atlantic salmon (AS), coho salmon (CoS) and sockeye salmon (SS)] distributed in Korea as sliced raw fishes. The crude lipid contents of CC-SRF were 5.5% for OF, 6.8% for RS, 18.5% for AS, 16.1% for CoS, and 5.7% for SS. The collagen content and solubility from CC-SRF were 622 mg/100 g and 78.0%, respectively, in OF, 270 mg/100 g and 75.6%, respectively, in RS, 237 mg/100 g and 24.1%, respectively, in AS, 341 mg/100 g and 65.7%, respectively, in CoS, and 246 mg/100 g and 17.9%, respectively, in SS. The texture of CC-SRF was affected by the lipid content, collagen content, acid solubility, hydroxylation, and cross linkage degree. The highest hardness of CC-SRF was obtained from OF, followed by RS, SS, AS and CoS. There was, however, no difference (P>0.05) in hardness between OF and RS and between AS and CoS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.980-997
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• 2024

To improve the brightness of images and reveal hidden information in dark areas is the main objective of low-light image enhancement (LLIE). LLIE methods based on deep learning show good performance. However, there are some limitations to these methods, such as the complex network model requires highly configurable environments, and deficient enhancement of edge details leads to blurring of the target content. Single-scale feature extraction results in the insufficient recovery of the hidden content of the enhanced images. This paper proposed an edge detection-based multi-scale feature enhancement network for LLIE (EDMFEN). To reduce the loss of edge details in the enhanced images, an edge extraction module consisting of a Sobel operator is introduced to obtain edge information by computing gradients of images. In addition, a multi-scale feature enhancement module (MSFEM) consisting of multi-scale feature extraction block (MSFEB) and a spatial attention mechanism is proposed to thoroughly recover the hidden content of the enhanced images and obtain richer features. Since the fused features may contain some useless information, the MSFEB is introduced so as to obtain the image features with different perceptual fields. To use the multi-scale features more effectively, a spatial attention mechanism module is used to retain the key features and improve the model performance after fusing multi-scale features. Experimental results on two datasets and five baseline datasets show that EDMFEN has good performance when compared with the stateof-the-art LLIE methods.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.179-184
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• 2024

Franchise are now a red ocean in Food industry and they need to find other options to appeal for their product, the uprising content, food tech. The franchises are working on R&D to help franchisees with the operations. Through this paper, we analyze the franchise interest on food tech and to help find the necessity of development for franchisees who are in needs with hand, not of human, but of technology. Using Textom, a big data analysis tool, "franchise" and "food tech" were selected as keywords, and search frequency information of Naver and Daum was collected for a year from 01 January, 2023 to 31 December, 2023, and data preprocessing was conducted based on this. For the suitability of the study and more accurate data, data not related to "food tech" was removed through the refining process, and similar keywords were grouped into the same keyword to perform analysis. As a result of the word refining process, a total of 10,049 words were derived, and among them, the top 50 keywords with the highest relevance and search frequency were selected and applied to this study. The top 50 keywords derived through word purification were subjected to TF-IDF analysis, visualization analysis using Ucinet6 and NetDraw programs, network analysis between keywords, and cluster analysis between each keyword through Concor analysis. By using big data analysis, it was found out that franchise do have interest on food tech. "technology", "franchise", "robots" showed many interests and keyword "R&D" showed that franchise are keen on developing food tech to seize competitiveness in Franchise Industry.