• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2002년도 춘계학술대회 논문집
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• pp.357-362
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• 2002

Most of battery industries are growing explosively as a core strategy industry for the development of the semi-conductor, the LCD, and the mobile communication device. In this thesis, dynamic characteristics of the steel can labeling machine on the automatic cell assembly line are studied. Dynamic characteristic analysis consists of dynamic behavior analysis and finite element analysis and is necessary for effective design of machines. In the dynamic behavior analysis, the displacement, velocity, applied force and angular velocity of each components are simulated according to each part. In the FEA, stress analysis, mode analysis, and frequency analysis are performed for each part. The results of these simulations are used for the design specification investigation and compensation for optimal design of cell manufacturing line. Therefore, Virtual Engineering of the steel can labeling machine on the automatic cell assembly line systems are modeled and simulated. 3D motion behavior is visualized under real-operating condition on the computer window. Virtual Prototype make it possible to save time by identifying design problems early in development, cut cost by reducing making hardware prototype, and improve quality by quickly optimizing full-system performance. As the first step of CAE which integrates design, dynamic modeling using ADAMS and FEM analysis using NASTRAN are developed.

• 문화기술의 융합
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• 제8권1호
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• pp.545-550
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• 2022

딥러닝은 많은 데이터를 필요로 한다는 것은 이미 널리 알려져있다. 이를 통해, 딥러닝에 쓰이는 신경망의 수없이 많은 parameter들을 학습시킨다. 학습과정에는 데이터뿐 아니라, 각 데이터별로 전문가가 입력한 label이 필요한 경우가 대부분인데, 이 label을 얻는 과정은 시간과 자원 소비가 심하다. 이 문제를 완화하기 위해, few-shot learning, self-supervised learning, weak-supervised learning등이 연구되어오고 있다. 본 논문에서는, label을 상대적으로 적은 노력으로 수행하기 위한 연구들의 동향을 살펴보고, 앞으로의 개선 방향을 제시하도록 한다.

• 한국소음진동공학회논문집
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• 제23권11호
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• pp.982-986
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• 2013

The noise emitted from construction machinery has long been a cause of environmental disputes, especially to the nearby residents. In 2008, the Ministry of Environment adopted the construction machinery noise labeling system to encourage the development of the low noise construction machinery. After the implementation of the noise labeling system of the construction machinery, the noise emitted from the construction machinery has been decreased over the six years. But, as the quality of life improves, a growing number of people desire more comfortable and quite living environment. Under the situation, new systems like the low noise labeling system are considered to encourage the development of the low noise construction machinery. In accordance with the low noise labeling system, the construction machinery satisfying the standard of low noise are qualified to attach the low noise label in front of the products. Thus, the product qualified the low noise certification will be incentivized by the choice of the consumer. In this paper, we have studied the necessity of the low noise labeling system for the construction machinery and the considerations to adopt the low noise labeling system of construction machinery. And we have studied appropriate criterion to judge the low noise construction machinery. The considerations studied in this paper will be helpful to adopt the low noise labeling system of construction machinery in the future.

• Nutrition Research and Practice
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• 제14권3호
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• pp.286-297
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• 2020

BACKGROUND/OBJECTIVES: This study compared the perception of customers from Korea and the U.S. on the attributes of different formats of menu labeling The specific objectives were 1) to compare the customers' perceived usefulness, ease-of-understanding, clarity, and attractiveness of different formats of menu labeling between Korea and the U.S.; and 2) to compare the customers' use intention to different formats of menu labeling between Korea and the U.S. SUBJECTS/METHODS: A survey was conducted in Korea and the U.S. The participants were allocated randomly to view 1 of the 7 restaurant menus that varied according to the following types of menu labeling formats: (type 1) kcal format, (type 2) traffic-light format, (type 3) percent daily intake (%DI) format, (type 4) kcal + traffic-light format, (type 5) kcal + %DI format, (type 6) traffic-light + %DI format, and (type 7) kcal + traffic-light + %DI format. A total of 279 Koreans and 347 Americans were entered in the analysis. An independent t-test and 1-way analysis of variance were performed. RESULTS: Koreans rated type 4 format (kcal + traffic light) the highest for usefulness and attractiveness. In contrast, Americans rated type 7 (kcal + traffic light + %DI) the highest for usefulness, ease-of-understanding, attractiveness, and clarity. Significant differences were found in the customers' perceived attributes to menu labeling between Korea and the U.S. Americans perceived higher for all the 4 attributes of menu labeling than Koreans. CONCLUSIONS: The study is unique in identifying the differences in the attributes of different formats of menu labeling between Korea and the U.S. Americans rated the most complicated type of menu labeling as the highest perception for the attributes, and showed a higher use intention of menu labeling than Koreans. This study contributes to academia and industry for practicing menu labeling in different countries using different formats.

• Mass Spectrometry Letters
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• 제13권4호
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• pp.139-145
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• 2022

Protein glycosylation is a common post-translational modification by non-template-based biosynthesis. In fungal biotechnology, which has great applications in pharmaceuticals and industries, the importance of research on fungal glycoproteins and glycans is accelerating. In particular, the importance of quantitative analysis of fungal glycans is emerging in research on the production of filamentous fungal proteins by genetic modification. Reliable mass spectrometry-based techniques for quantitative glycomics have evolved into chemical, enzymatic, and metabolic stable isotope labeling methods. In this study, we intend to expand quantitative glycomics by metabolic isotope labeling of glycans in Aspergillus niger, a filamentous fungus model, by the MILPIG method. We demonstrate that incubation of filamentous fungi in a culture medium with carbon-13 labeled glucose (1-¹³C₁) efficiently incorporates carbon-13 into N-linked glycans. In addition, for quantitative validation of this method, light and heavy glycans are mixed 1:1 to show the performance of quantitative analysis of various N-linked glycans simultaneously. We have successfully quantified fungal glycans by MILPIG and expect it to be widely applicable to glycan expression levels under various biological conditions in fungi.

• 한국생활과학회지
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• 제19권1호
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• pp.167-177
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• 2010

This study examined consumer perception and use on labeling of cooking utensils made of plastic and glass to get information about improving the labeling. The data were collected from 505 adults in Seoul, Busan, Daegu, Daejeon, Incheon, and Gwangju. The data were analyzed by SPSS Windows V.14.0. Frequencies, t tests, one-way analysis of variance, and Duncan's multiple range tests were carried out. Many respondents checked off 'precautions in use' more than any other notice when they purchased the cooking utensils made of plastic and glass. Respondents were dissatisfied with the letter size and intelligibility of foreign language on the labeling. Most respondents preferred 'tag' for most cooking utensils made of plastic and glass. In addition, on necessity of precautions for each category of plastic cooking utensils, frying pans, plastic baskets, plastic water buckets, plastic seasoning bottles, the frying pan showed the highest need for 'do not place close to the fire'. Plastic cups and plastic containers showed the highest in 'whether utensils could be used in the microwave oven and accompanying precautions', and plastic cutting board showed the highest in 'matters relating to washing before use.' In the case of cooking utensils made of glass, 'precaution on shock' was the highest for glass cups and mugs and 'whether utensils could be used in the microwave oven and accompanying precautions' was the highest for glass pans, dishes and containers.

• 한국인터넷방송통신학회논문지
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• 제24권2호
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• pp.119-125
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• 2024

본 논문에서는 인공지능 주의환기 보상전략 시스템이 발달장애인의 데이터 라벨링 작업 주의집중력에 미치는 효과를 분석하였다. 주의집중력의 척도로는 세션별 작업 정확도와 작업수행량을 사용하였다. 연구 결과, 중재가 적용된 후 연구대상자 모두 자율작업 대비 주의집중력에서 유의미한 향상이 관찰되었다. 이러한 결과는 인공지능 기술이 발달장애인의 데이터 라벨링 작업 중 주의집중력 향상에 긍정적으로 작용할 수 있음을 의미한다. 본 연구는 인공지능 기술의 적용이 발달장애인의 데이터 라벨링 작업 정확도를 향상하여 학습데이터의 품질을 높일 수 있음을 보여주고 있으며, 발달장애인의 데이터라벨링 관련 직업훈련 프로그램에 중요한 시사점을 제공하리라 본다.

• Nutrition Research and Practice
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• 제9권5호
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• pp.517-522
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• 2015

BACKGROUND/OBJECTIVES: The objective of this study was to investigate food allergens and prevalence rates of food allergies, followed by comparison of consumer attitudes and preferences regarding food allergy labeling by diagnosis of food allergies. SUBJECTS/METHODS: A total of 543 individuals living in Seoul and Gyeonggi area participated in the survey from October 15 to 22 in 2013. RESULTS: The results show that the prevalence of doctor-diagnosed food allergies was 17.5%, whereas 6.4% of respondents self-reported food allergies. The most common allergens of doctor-diagnosed and self-reported food allergy respondents were peaches (30.3%) and eggs (33.3%), respectively, followed by peanuts, cow's milk, and crab. Regarding consumer attitudes toward food labeling, checking food allergens as an item was only significantly different between allergic and non-allergic respondents among all five items (P < 0.001). All respondents reported that all six items (bold font, font color, box frame, warning statement, front label, and addition of potential allergens) were necessary for an improved food allergen labeling system. PLSR analysis determined that the doctor-diagnosed group and checking of food allergens were positively correlated, whereas the non-allergy group was more concerned with checking product brands. CONCLUSIONS: An effective food labeling system is very important for health protection of allergic consumers. Additionally, government agencies must develop policies regarding prevalence of food allergies in Korea. Based on this information, the food industry and government agencies should provide clear and accurate food labeling practices for consumers.

• Nutrition Research and Practice
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• 제6권4호
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• pp.328-333
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• 2012

This study was performed to investigate the differences in food choice, nutrition labeling perceptions, and prevalence of obesity due to meal skipping in Korean elementary school children. A national survey was performed in 2010 to collect data on food intake frequency, understanding of nutrition labeling, and body mass index from 2,335 fifth grade students in 118 elementary schools selected from 16 metropolitan local governments by stratified cluster sampling. The data were analyzed using the SAS 9.1 and SUDAAN 10.0 packages. Students who consumed three meals for 6-7 days during the past week were classified into the regular meal eating (RM) group (n = 1,476) and those who did not were placed into the meal skipping (MS) group (n = 859). The daily intake frequency of fruits, vegetables, kimchi, and milk was significantly lower in the MS group compared to that in the RM group (P < 0.001), whereas the daily intake frequency of soft drinks and instant noodles (ramyeon) was significantly higher in the MS group than that in the RM group (P < 0.05). The MS group demonstrated a significantly lower degree of understanding with regard to nutrition labeling and high calorie foods containing low nutritional value than that in the RM group. The distribution of obesity based on the percentile criteria using the Korean growth chart was different between the MS and RM groups. The MS group (8.97%) had a higher percentage of obese subjects than that in the RM group (5.38%). In conclusion, meal skipping was related to poor food choice, low perception of nutrition labeling, and a high prevalence of obesity in Korean fifth grade children.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권11호
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• pp.555-562
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• 2016

의미 역 결정은 한 문장에서 술어와 그것의 논항간의 의미 관계를 결정해주는 것을 말한다. 한편 한국어 의미 역 결정은 영어와는 다른 한국어 고유의 특이한 언어 구조 때문에 많은 어려움을 가지고 있는데, 이러한 어려움 때문에 지금까지 제안된 다양한 방법들을 곧바로 적용하기에 어려움이 있었다. 다시 말하자면, 지금까지 제안된 방법들은 영어나 중국어에 적용했을 때에 비해서 한국어에 적용하면 낮은 성능을 보여주었던 것이다. 이러한 어려움을 해결하기 위하여 본 연구에서는 조사나 어미와 같은 접사구조를 분석하는 것에 초점을 맞추었다. 한국어는 일본어와 같은 교착어의 하나인데, 이들 교착어에서는 매우 잘 정리되어 있는 접사구조가 어휘에 반영되어 있다. 교착어는 바로 이들 잘 정의된 접사 구조 때문에 매우 자유로운 어순이 가능하다. 또한 본 연구에서는 단일 형태소로 이루어진 논항은 기초 통계량을 기준으로 의미 역 결정을 하였다. 또한 지지 벡터 기계(Support Vector Machine: SVM)과 조건부 무작위장(Conditional Random Fields: CRFs)와 갗은 기계 학습 알고리즘을 사용하여 앞에서 결정되지 못한 논항들의 의미 역을 결정하였다. 본 논문에서 제시된 방법은 기계 학습 접근 방식이 처리해야 하는 논항의 범위를 줄여주는 역할을 하는데, 이는 기계 학습 접근은 상대적으로 불확실하고 부정확한 의미 역 결정을 하기 때문이다. 실험에서는 본 연구는 15,224 논항을 사용하였는데, 약 83.24%의 f1 점수를 얻을 수 있었는데, 이는 한국어 의미 역 결정 연구에 있어서 해외에서 발표된 연구 중 가장 높은 성능으로 알려진 것에 비해 약 4.85%의 향상을 보여준 것이다.