• Korean Journal of Agricultural Science
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• v.50 no.3
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• pp.407-416
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• 2023

Plant-based, grain-free, and gluten-free diets have been the focus of recent research, as part of the premiumization trend in dog food. However, the lack of comprehensive information regarding carbohydrates in dog food makes it difficult to produce nutritionally balanced meals. Therefore, we aimed to evaluate the nutritional value of carbohydrate ingredients commonly used in commercial dog foods. First, using data from Euromonitor, we investigated the trends in the dry dog food industry and analyzed the annual volume of dry dog food sales, as well as the dog population from 2010 to 2021 in Korea. The growth of the market was greatest in 2021, when the total value of sales of premium dry dog food was 254.3 billion KRW (Korean won) more than in 2010. In addition, sales of dry dog food by age category were marked by a significant increase (404.8%) in the market for dry food for senior dogs. Second, we examined the frequency of carbohydrate ingredients used in dry dog food and conducted a proximate analysis of the top 10 most frequently used ingredients. Subsequently, we analyzed the crude protein, crude fat, and nitrogen-free extract in the carbohydrate ingredients based on dry matter (DM) and calculated the ratio of metabolic energy content supplied from each nutrient in the carbohydrate ingredients. The ratio of metabolic energy content in the carbohydrate ingredients indicated that mung beans had the highest crude protein content (31.3%), whereas oats exhibited the highest crude fat content (23.3%). Sweet potatoes had the highest nitrogen-free extract content, measuring at 93.6%. The results of this study are expected to provide a valuable foundation for the growth and development of the domestic dog food industry, while also contributing to a deeper understanding of the specific role of each ingredient as a carbohydrate source.

• Biotechnology and Bioprocess Engineering:BBE
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• v.10 no.3
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• pp.242-247
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• 2005

Caseinomacropeptide (CMP) is a glycopeptide of 64 amino acid residues derived from the C-terminal of mammalian milk K-casein. Recently, human CMP (hCMP) was produced from the recombinant yeast Saccharomyces cerevisiae. In this study, the antiobesity activity of the recombinant hCMP (rhCMP) was investigated in vivo using Sprague-Dawley rats. The rhCMP did not affect the rats fed with a normal fat diet (fat content, $5.0\%$), but decreased the body weight gain of the rats fed with a high fat diet (fat content, $20\%$) by up to $19\%$. Autopsies revealed that the weights of the liver, kidney and adipose tissues decreased when the rats were given the rhCMP, which also reduced the lipid concentrations in the plasma and liver, but enhanced the fecal excretion of lipids. These results suggest that rhCMP prevent the accumulation of lipid by stimulating its fecal excretion, so could be used as a food supplement to alleviate the obesity problem caused by a high fat diet.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.4
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• pp.333-337
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• 2002

A content-based image retrieval method using color, texture, and shape features is proposed in this paper. A region segmentation technique using PIM(Picture Information Measure) entropy is used for similarity indexing. For segmentation, a color image is first transformed to a gray image and it is divided into n$\times$n non-overlapping blocks. Entropy using PIM is obtained from each block. Adequate variance to perform good segmentation of images in the database is obtained heuristically. As variance increases up to some bound, objects within the image can be easily segmented from the background. Therefore, variance is a good indication for adequate image segmentation. For high variance image, the image is segmented into two regions-high and low entropy regions. In high entropy region, hue-saturation-intensity and canny edge histograms are used for image similarity calculation. For image having lower variance is well represented by global texture information. Experiments show that the proposed method displayed similar images at the average of 4th rank for top-10 retrieval case.

• Journal of Fashion Business
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• v.21 no.1
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• pp.45-57
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• 2017

This study explored the current implementation status of corporate social responsibility (CSR) among textiles and apparel manufacturers and retailers in Korea, based on the Triple Bottom Line (TBL). We also investigated the provision of information related to CSR practices on the websites of companies. A quantitative content analysis was conducted to analyze the website disclosures of 61 listed companies categorized in the textiles, apparel, shoes, and luxury industry. Analysis was focused on the presence, accessibility, and the level of CSR website disclosure. Seven themes emerged by applying the constant comparison analysis. Using Scott's formula for pi, a high level of inter-coder reliability was achieved, ranging from 0.91 to 0.97. Regarding the three dimensions of CSR suggested in TBL, economic dimension was relatively more emphasized in the website disclosures of most companies, compared to social and environment dimensions. Website disclosures were further investigated, based on the product categories of each company. Limitations of this study and suggestions for future studies are discussed.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.391-396
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• 2013

Character industry is fundamentally based on a technical environment, a media, like any other cultural content industry. In order to extend a life of a character and increase the brand value, a choice and utilization of a more efficient way is necessary. Analyzing why game characters are less worth as a value of commodities than other media contents is presented and suggests complementary methods for the matter. In this study, an approach to increase a brand value of a game character, as well as, linking to develop profitable models afterward is suggested presenting a case of game development.

• Journal of Environmental Science International
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• v.18 no.3
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• pp.283-288
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• 2009

This is a study on the volatile organic compounds(VOCs) concentrator with zeolite adsorptive honey rotor and catalytic combustion system for abating VOCs emitted from printing industry. VOCs emitted from the printing industry is mainly caused by organic solvent of printing ink. The content of organic solvents in printing ink varies from 40% to 75% and its content in the gravure ink is higher than that in any other ink. The average concentrations of each VOCs are 139 ppm for toluene, 152.1 ppm for MEK, 256.9 ppm for methanol and 42.9 ppm for isopropyl alcohol. We used zeolite honeycomb for absorbent of VOCs concentrator and palladium for catalyst combustion system. This system abated over 96% of emitted total VOCs, 98% of toluene, 100% of MEK, 92% of methanol and, 100% of isopropyl alcohol. It is concluded that the low-leveled high-volume VOCs emitted from printing process were removed almost by concentrator with zeolite adsorptive honey rotor and catalytic combustion system.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.47 no.6
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• pp.73-80
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• 2015

Corn stalk is the lignocellulosic biomass, which remain as leftover after harvesting. To use the corn stalk as raw material for paper industry, soda pulping was applied. In chemical compositional analysis, extractive contents of corn stalk (45.1%) was higher than hardwood. With corn stalk pith, soda pulp yield was 25.3% at 10.6 Kappa number, but 39.5% yield with 14.8 Kappa number for corn stalk rind. Higher extractives content in pith is one of the reason for lower pulp yield than rind. Pith pulp fibers had higher fines content than rind pulp. Pith parenchyma cell was removed as fines during pulping or washing process, which caused the lower yield. To use the corn stalks as a raw material for paper making, de-pith process is essential for higher pulp yield and longer pulp length.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.349-360
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• 2019

This study analyzes the trends of recommendation services for customized fashion styles in relation to artificial intelligence. To achieve this goal, the study examined filtering technologies of collaborative, content based, and deep-learning as well as analyzed the characteristics of recommendation services in the users' purchasing process. The results of this study showed that the most universal recommendation technology is collaborative filtering. Collaborative filtering was shown to allow intuitive searching of similar fashion styles in the cognition of need stage, and appeared to be useful in comparing prices but not suitable for innovative customers who pursue early trends. Second, content based filtering was shown to utilize body shape as a key personal profile item in order to reduce the possibility of failure when selecting sizes online, which has limits to being able to wear the product beforehand. Third, fashion style recommendations applied with deep-learning intervene with all user processes of buying products online that was also confirmed to penetrate into the creative area of image tag services, virtual reality services, clothes wearing fit evaluation services, and individually customized design services.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.353-360
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• 2023

This paper explores notable shifts in the restaurant startup market following the lifting of social distancing measures. Key trends identified include an escalated interest in startups, a heightened focus on the quality and diversity of food, a relative decline in the importance of delivery services, and a growing interest in specific industry sectors. The study's data collection spanned three years, from April 2021 to May 2023, encompassing the period before and after social distancing. Data were sourced from a range of online platforms, including blogs, news sites, cafes, web documents, and intellectual forums, provided by Naver, Daum, and Google. From this collected data, the top 50 words were identified through a refinement process. The analysis was structured around the social distancing application period, comparing data from April 2021 to April 2022 with data from May 2022 to May 2023. These observed trend changes provide founders with valuable insights to seize new market opportunities and formulate effective startup strategies. In summary, We offer crucial insights for founders, enabling them to comprehend the evolving dynamics in food service startups and to adapt their strategies to the current market environment.

• Asia pacific journal of information systems
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• v.29 no.1
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• pp.117-143
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• 2019

Advances in information technology (IT) bring about technological innovation in financial businesses, referred to as financial technology (fintech), beyond the traditional financial industry. While fintech implies more convenient and various financial services to customers, it leads to more complexity in the financial sector, as different industry players (e.g., IT firms) can participate in financial businesses. The complexity of fintech causes controversial issues related to policies and the appropriate development direction. In order to provide insight into the current state of fintech, this study explores the fundamental understanding of the fintech phenomenon from the perspective of the major stakeholders (i.e., financial authorities, financial companies, IT firms) in South Korea. This study analyzed news articles, where those stakeholders expressed their arguments, by using a content analysis. The study also conducted an intensive examination of their arguments by using a core-periphery approach of social representations. This study found that while the three beholders had a common opinion on deregulation of the fintech industry, each of them had different knowledge of the phenomenon. By revealing each beholder's structure of representations of fintech, this study not only provides common knowledge regarding fintech but also explicates the perceptual gaps among stakeholders. Findings of the study offer a big picture of current fintech initiatives, which can be useful knowledge for future research on fintech.