• Korean journal of food and cookery science
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• v.24 no.6
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• pp.771-779
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• 2008

The purpose of the study was assessing Kochujang sauces(BBQ & Chicken) using a Home Use Test(HUT) focused on England food consumer. To achieve of the purpose, 58 England food consumers were selected by CCFRA's customer database. The qualification of the sample was responsible for the households' main grocery shopping, cooking Oriental/ Far Eastern cuisines at home, enjoying hot/spicy chilli based food and would be willing to buy hot chilli based Oriental sauce. 3 times of HUT were accomplished. The test was continued during 3 weeks, and each test was continued during one week. To check the sensory evaluation results on these sauces, 9 point hedonic scale and JAR(Just About Right) were used. The frequency analysis was adopted for the study. The results of a study were as followed. The overall satisfaction(upper 7point) on BBQ sauce was 60%, and the chicken sauce was 55.1%. The sweetness, hot taste, and BBQ aroma were suitable as a upper 40% using JAR scale. On purchase intention, BBQ & Chicken was slightly increased. These sauces were proper lunch & Dinner time. Also, good for dip, stir fry, and marinade. The result of put to use the sauces on food material as followed. BBQ sauce was proper Chicken(45.5%), vegetable(29.9%), and turkey(19%) in the order named. In case of the chicken sauce was ordered chicken(46.2%), vegetable(27.5%), beef(17.5%).

• Proceedings of the KIEE Conference
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• 1992.07b
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• pp.958-960
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• 1992

The fluorescence characteristics of near UV dye, BBQ pumped by Ar flashlamp have been studied for various electrical input energies applied to the flashlamp and argon fill pressures in the flash tube. The peak wavelength of fluorescence is about 380nm when the fluorescence intensity is at the peak value. The rise time of the fluorescence pulse is about 7 $\mu$sec and its FWHM is about 55$\mu$sec.

• Proceedings of the Optical Society of Korea Conference
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• 1989.02a
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• pp.46-48
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• 1989

In order to increase the efficiency of a bluegreen dye laser, the mixed dye method and separate dye method have been employed and the results were compared. By the mixed dye method(LD490+BBQ), the enhancement of laser energy was 193%, while by the separate dye method(LD490/BBQ), it was 90%, It was also found that the mixed dye method made the laser threshold energy decreased.

• Proceedings of the Optical Society of Korea Conference
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• 1988.06a
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• pp.26-28
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• 1988

펌핑과의 스펙트럼을 전환시켜 색소레이저의 에너지를 증가시키기 위하여 에너지 전환색소 BBQ를 레이저색소 LD490에 첨가하여 실험하였다. rise time이 비교적 짧은 Ar flashlamp로서 펌핑하였고, 주입에너지는 160J이다. LD490의 레이저발진의 최적농도의 4$\times$10-10M/1에서 BBQ의 첨가농도를 바꾸면서 실험한 결과 4.5$\times$10-10M/1일 때 최대의 증가율을 보이고 이때 레이저 증가율은 180%까지 도달하였다. 레이저출력 증가율은 92%이다.

• Korean Journal of Community Nutrition
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• v.11 no.5
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• pp.642-649
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• 2006

The purposes of this study were to investigate methods of applying activity-based cost to menu engineering and to examine the feasibility. A total of 6 menu items of XYZ restaurant in Seoul were selected and the ledger of September 2005 was used for menu analysis. The menu mix percent of beef sirloin steak (61.95%) and beef tenderloin steak (17.13%) were labeled as high, whereas BBQ pork ribs (4.94%), salmon fillet (2.66%), seafood platter (5.77%), and teriyaki chicken (7.56%) showed low menu mix percent. In addition, the contribution margin for BBQ pork ribs (29,000 won), salmon fillet (25,810 won), seafood platter (22,400 won), and teriyaki chicken (22,000 won) were higher than the average contribution margin (21,957 won), and those for beef sirloin steak (21,200 won) and beef tenderloin steak (21,900 won) were lower than average. When popularity and contribution margin were applied in menu engineering, BBQ pork ribs, salmon fillet, seafood platter and teriyaki chicken were classified as puzzles and beef tenderloin steak and beef sirloin steak as plowhorses. Menu engineering using popularity and operating profit, which was calculated from activity-based cost, also gave the same results, whereas the additional label for activity cost placed BBQ pork ribs and salmon fillet in the brain teaser category. Ranking analysis on variables estimating menu profitability using Spear-man's ${\rho}$ revealed that there were no significant correlation between variables, which means the estimation of menu item profitability could differ by methods of analysis. With these results, it was concluded that activity-based cost would help to establish more detailed marketing strategy for a restaurant.

• Monthly Korean Chicken
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• v.14 no.9
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• pp.46-47
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• 2008

• Proceedings of the Optical Society of Korea Conference
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• 1991.06a
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• pp.66-68
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• 1991

색소레이저의 효율과 출력 증가를 위한 연구에서 보다 강력한 펌핑 광원의 개발에 주로 많은 관심을 기울이고 있다. 그러나 본 연구에서는 펌핑광의 스펙트럼 전환을 이용하여 청록색레이저의 효율과 출력에너지를 증가 시켰다. 레이저 색소 Coumarin 503을 전환색소 BBQ와 혼합하므로 160% 이상의 청록색레이저의 출력에너지 증가와 61%의 구배 효율 증가를 얻었다.

• Korean Journal of Optics and Photonics
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• v.10 no.2
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• pp.157-161
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• 1999

A Ti:Sapphire laser pumped by the HCP has been designed and fabricated to study the optimal pumping conditions for lasing. The fluorescence energy converter LD-490 has been used. The result showed that the threshold energy of Ti:Sapphire laser is 1.39 KJ and the best efficiency is $7.13{\times}10^{-3}$% at the concentration $1.0{times}10^{-3}$ Mol/l of LD-490 dye. However, the efficiencies were decreased with the decrease of dye concentrations. The maximum output energy was obtained at 50 Torr Ar pressure, when the input voltage was 15 kV. As a convert dye, BBQ, was added to LD-490 with the rate of 1:1, the output energy was increased, whereas the thereshold energy was decreased as 1.17 kJ.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.125-144
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• 2023

Recently, the use of Large Language Models (LLMs) such as ChatGPT has been increasing in various fields such as interactive commerce and mobile financial services. However, LMMs, which are mainly created by learning existing documents, can also learn various human biases inherent in documents. Nevertheless, there have been few comparative studies on the aspects of bias and discrimination in LLMs. The purpose of this study is to examine the existence and extent of nine types of discrimination (Age, Disability status, Gender identity, Nationality, Physical appearance, Race ethnicity, Religion, Socio-economic status, Sexual orientation) in LLMs and suggest ways to improve them. For this purpose, we utilized BBQ (Bias Benchmark for QA), a tool for identifying discrimination, to compare three large-scale language models including ChatGPT, GPT-3, and Bing Chat. As a result of the evaluation, a large number of discriminatory responses were observed in the mega-language models, and the patterns differed depending on the mega-language model. In particular, problems were exposed in elder discrimination and disability discrimination, which are not traditional AI ethics issues such as sexism, racism, and economic inequality, and a new perspective on AI ethics was found. Based on the results of the comparison, this paper describes how to improve and develop large-scale language models in the future.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.401-418
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• 2023

Recently, the socio-economic interest in Large Language Models (LLMs) has been growing due to the emergence of ChatGPT. As a type of generative AI, LLMs have reached the level of script creation. In this regard, it is important to address the issue of discrimination (sexism, racism, religious discrimination, ageism, etc.) in the performing arts in general or in specific performing arts works or organizations in a large language model that will be widely used by the general public and professionals. However, there has not yet been a full-scale investigation and discussion on the issue of discrimination in the performing arts in large-scale language models. Therefore, the purpose of this study is to textually analyze the perceptions of discrimination issues in the performing arts from LMMs and to derive implications for the performing arts field and the development of LMMs. First, BBQ (Bias Benchmark for QA) questions and measures for nine discrimination issues were used to measure the sensitivity to discrimination of the giant language models, and the answers derived from the representative giant language models were verified by performing arts experts to see if there were any parts of the giant language models' misperceptions, and then the giant language models' perceptions of the ethics of discriminatory views in the performing arts field were analyzed through the content analysis method. As a result of the analysis, implications for the performing arts field and points to be noted in the development of large-scale linguistic models were derived and discussed.