• Journal of Nutrition and Health
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• v.56 no.3
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• pp.247-263
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• 2023

Purpose: This study was conducted to update the Nutrition Quotient for Adolescents (NQ-A), which is used to assess the overall dietary quality and food behavior among Korean adolescents. Methods: The first 30 candidate items of the measurable eating behavior checklist were obtained based on a previous NQ-A checklist, the results of the seventh Korea National Health and Nutrition Examination Survey data, Korea Youth Risk Behavior Survey data, national nutrition policies and dietary guidelines, and literature reviews. A total of 100 middle and high school students residing in Seoul and Gyeonggi Province participated in a pilot study using the 25-item checklist. Factor analysis and frequency analysis were conducted to determine if the checklist items were organized properly and whether the responses to each item were distributed adequately, respectively. As a result, 22 checklist items were selected for the nationwide survey, which was applied to 1,000 adolescent subjects with stratified sampling from 6 metropolitan cities. The construct validity of the updated NQ-A 2021 was assessed using confirmatory factor analysis. Results: Twenty checklist items were determined for the final NQ-A 2021. The items were composed of three factors: balance (8 items), moderation (9 items), and practice (3 items). The standardized path coefficients were used as the weights of items to determine the nutrition quotients. NQ-A 2021 and 3-factor scores were calculated according to the weights of questionnaire items. The weight for each of the 3 factors was determined as follows: balance, 0.15; moderation, 0.30; and practice, 0.55. Conclusion: The updated NQ-A 2021 is a useful instrument for easily and quickly evaluating the dietary qualities and eating behaviors of Korean adolescents.

• Archives of design research
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• v.15 no.4
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• pp.399-408
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• 2002

According to the improvement in quality of life and the progress of user's taste in this modern society, people great deal with the symbolic meaning of product which express user's self-concept(image). Therefore, this kind of information of users' image is needed to deal importantly for the product design development processes, particularly, the early stage of design development such as the concept design development stage. But, there is not much analysis tools which deal qualitative data of users for the design development. From this reason, the supply of information of user's image through the development of verbal analysis method of user's self-concept will help a designer. For this purpose, this study not only developed the twenty-one factors in order to evaluate user's self-concept, but also suggested that the new approach method that can classify user's group within the same characteristic of user's image using the twenty-one developed verbal measurement items with tools of statistical analysis for the design direction of product. The developed this verbal analysis tool was testified through the case study in this research work.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.3
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• pp.160-165
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• 2023

In this study, we propose an SNS sentence writing assistance system that utilizes YOLO and GPT to assist users in writing texts with images, such as SNS. We utilize the YOLO model to extract objects from images inserted during writing, and also extract meta-information such as GPS information and creation time information, and use them as prompt values for GPT. To use the YOLO model, we trained it on form image data, and the mAP score of the model is about 0.25 on average. GPT was trained on 1,000 blog text data with the topic of 'restaurant reviews', and the model trained in this study was used to generate sentences with two types of keywords extracted from the images. A survey was conducted to evaluate the practicality of the generated sentences, and a closed-ended survey was conducted to clearly analyze the survey results. There were three evaluation items for the questionnaire by providing the inserted image and keyword sentences. The results showed that the keywords in the images generated meaningful sentences. Through this study, we found that the accuracy of image-based sentence generation depends on the relationship between image keywords and GPT learning contents.

• Journal of Technology Innovation
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• v.17 no.2
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• pp.1-23
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• 2009

The Survey on the Industrial Research and Development(R&D) is the primary source of information on R&D performed by Korea industrial sector. The results of the survey are used to assess trends in R&D expenditures. Government agencies, corporations, and research organizations use the data to investigate productivity determinants, formulate tax policy, and compare individual company performance with industry averages. Recently, Korea Industrial Technology Association(KOITA) has collected the data by complete enumeration. Koita has, currently, considered sample survey because the number of R&D institutions in industry has been dramatically increased. This study develops survey design for the industrial research and development(R&D) statistics by introducing a sample survey. Companies are divided into 8 groups according to the amount of R&D expenditures and firm size or type. We collect the sample from 24 or 8 sampling strata and compare the results with those of complete enumeration survey. The estimates from 24 sampling strata are not significantly different to the results of complete enumeration survey. We propose the survey design as follows: Companies are divided into 11 groups including the companies of which R&D expenditures are unknown. All large companies are included in the survey and medium and small companies are sampled from 70% and 3%. Simple random sampling (SRS) is applied to the small company partition since they show uniform distribution in R&D expenditures. The independent probability proportionate to size (PPS) sampling procedure may be applied to those companies identified as 'not R&D performers'. When respondents do not provide the requested information, estimates for the missing data are made using imputation algorithms. In the future study, new key variables should be developed in survey questionnaires.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.1
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• pp.53-62
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• 2017

In this paper, we present the score classification accuracy of BBS(Berg Balance Scale) which is the most commonly used balance evaluation tool using machine learning. Data acquisition was performed using the Noraxon system and an inertial sensor of Noraxon system was attached to the body in 8 locations (left and right ankle, left and right upper buttocks, left and right wrists, back, forehead). Based on the 3-axis accelerometer of the inertial sensor, the feature vector STFT(Short Time Fourier Transform) and SAM(Signal Area Magnitude) were extracted. Then, the items of the BBS were divided into static movement and dynamic movement depending on the operation characteristics, and the feature vectors were selected according to the sensor attachment positions which affect the score for each item of the BBS. Feature vectors selected for each item of BBS were classified using GMM(Gaussian Mixture Model). As a result of the accuracy calculation for 40 subjects, 55.5%, 72.2%, 87.5%, 50%, 35.1%, 62.5%, 43.3%, 58.6%, 60.7%, 33.3%, 44.8%, 89.2%, 51.8%, 85.1%, respectively.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.3
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• pp.145-154
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• 2016

Because of the recent interest in the u-Health and development of IT technology, a need of utilizing a medical information data has been increased. Among previous studies that utilize various data mining algorithms for processing medical information data, there are studies of association rule analysis. In the studies, an association between the symptoms with specified diseases is the target to discover, however, infrequent terms which can be important information for a disease diagnosis are not considered in most cases. In this paper, we proposed a new association rule mining system considering the importance of each term using TF-IDF weight to consider infrequent but important items. In addition, the proposed system can predict candidate diagnoses from medical text records using term similarity analysis based on medical ontology.

• Korean Journal of Environment and Ecology
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• v.28 no.4
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• pp.472-483
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• 2014

Major cities have strengthened their efforts to improve the environmental function of the urban forest through aspects of quantity and quality. Yet, it is difficult to propose both long-term improvement and management policy direction continuously due to a lack of evaluating method that social needs could be reflected. After all, effective strengthening of the function of an urban forest, composed of social and biotic environments, is essential to create evaluation criteria. Such data reflects a quantity variation and identifies the distribution and habitation of biotic sources as well. An assessment of utilization possibilities presents such values as a green connectivity, an ecological healthiness, and usage and access opportunities. Consequently, this research was executed to create an urban forest sustainability index that proposes a management and policy direction based on the evaluation of quantity and quality aspects. This study was processed by the following steps: a degree of importance of ecological aspect, a sub-classification index choice, and an examination of adequacy. This research was conducted from premises that urban forest had another functions comparisons to a natural forest. As a result, a criteria of sustainability should be considered to evaluate an ecological aspect, as well as the social and management aspects regarding human disturbance. This research is designed to develop an evaluation index for ecological aspect. In order to evaluate the ecological healthiness of an urban forest, a vegetation index considers aspects of related rarity, damage possibility, naturalness, area, and diversity. In a wildbird index-related study, forest duration and area were selected. Finally, a variance analysis is presented, inclusive of stability, naturalness, diversity, potentiality, and possibility of wildlife inhabitation, which is indicative of an urban forest sustainability index.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2003.04a
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• pp.117.1-117
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• 2003

새송이 버섯은 맛과 향이 좋고 영양적으로 우수하여 성인병 예방과 개선 효과가 있다고 알려져 있으나 재배농가의 급증으로 인한 가격하락과 집중출하로 신선도의 하락 등이 문제가 되고 있어 새송이 버섯의 활용성을 향상시키고, 소비자의 기호를 충족시킬 수 있는 버섯류 가공품 개발이 요구되고 있다. 전통절임식품을 응용한 새로운 버섯류 장류절임 가공법을 개발하기 위하여 절임 전 처리에 따른 품질특성을 비교하였으며, 이를 위하여 먼저 절임 전처리 조건으로 블랜칭처리, 적정 염농도와 처리시간 및 탈염법을 개발하고 건조 등의 전처리에 따른 품질 평가는 수분함량, 염도, 색상, 조직감, 관능특성 등을 평가하였다. 새송이 버섯을 전처리하기 위한 블랜칭 처리조건은 7$0^{\circ}C$에서 10분간 처리한 구가 조직감이 우수하고 갈변이 적었으며 염 침지시간은 침지 72시간까지는 증가하였으나 그 이후로는 증가하지 않았고 4$0^{\circ}C$에서 탈염하는 것이 가장 우수하여 전처리 조건으로 선정하였다. 전처리 방법에 따른 중량변화는 블랜칭 처리가 약 10% 정도 중량이 더 많았으며 이 영향은 건조 후에도 지속되었다. 수분함량도 블랜칭 처리가 높았으며 염도 또한 건조 처리에 따라 높은 함량을 보였으나 블랜칭 처리를 병행했을 경우 낮은 값을 나타내었다. 조직의 강도는 무처리에 비하여 전처리를 함에 따라 많은 힘이 소요되어 질긴 조직 특성을 나타냄을 알 수 있다. 관능평가 결과 블랜칭 처리를 단독으로 실시한 B(B)처리구가 관능적 특성치 모두 높은 값을 보여 전처리 방법으로는 가장 우수한 전처리 방법임을 알 수 있었다.저온 장시간 처리한 경우에 비하여 낮은 수준이지만 약간의 증감 경향을 보이다가 고른 평형 상태를 유지하였다. 산소 농도는 저온 장시간 처리 직후 급격히 저하된 후 다시 증가하였으며 저장 7일 후에는 4$0^{\circ}C$ 3시간 처리구를 제외하고는 평형 상태를 유지하였다. 고온 단시간 처리구의 경우 처리 직후부터 저장 7일 후까지 고른 평형 상태를 유지하였다. 에틸렌의 경우 저온 장시간 처리구는 처리 직후 그 농도가 급격히 상승하였다가 저장 1일 후부터 대조구보다 낮은 값을 나타내었다. 고온 단시간 처리구의 경우 저온 장시간 처리구와는 달리 저장 1일 후부터 그 농도가 다소 상승되었다가 다시 감소는 경향을 보였다. 한편 열처리하여 냉각시킨 직후 및 저장1주 후 사과의 pH, 산도, 당도, 경도, 과육의 갈변도 등을 조사하였던 바 대조구 및 처리구간에 일부 항목에 있어서는 약간의 차이를 나타내었다. 대치할 수 있을 것이라고 사료된다. 수분함량은 기계적 검사보다 관능검사와 더욱 높은 상관관계를 나타냈다.내었다. 항균활성이 우수한 생약재를 농도별로 활성을 조사한 결과, 물 추출물과 10% Ethanol 추출물 모두 낮은 농도에서도 우수한 항균활성을 나타내었다.취와 함께 점질성 갈변물질이 생성되었다. 이와 같은 결과로 볼 때, BAAG의 처리는 BAAC의 경우보다 가격은 저렴하면서도 항균력은 우수한 천연 항균복합제재로써 농산물 식품원료에 적용하여 선도유지 기간을 연장할 수 있는 효과를 기대할 수 있었다. 과일 등의 포장제로서 이용할 가능성을 확인하였다.로 [-wh] 겹의문사는 복수 의미를 지닐 수 없 다. 그러면 단수 의미는 어떻

• Journal of Digital Convergence
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• v.8 no.1
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• pp.41-53
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• 2010

In this paper, we discuss patent pool and a patent valuation scheme for fair royalty distribution among the patents in a pool. In the knowledge-based economy, intellectual capital-the accumulation of technology and know-how-is recognized as the most important source of company's competitive advantage and economic growth. By providing exclusive rights to patent holders, the patent system aims to encourage innovation-invention & commercialization of new technologies-in order to raise the standard of living. However, drawbacks of patent system, which occur as the number of patents issued increases rapidly and patent ownership is fragmented, may slow down the innovation efforts seriously. A promising solution is the patent pool approach, which was for instance employed by the U.S. congress during World War I to free the airplane manufacturers from the patent tangle by letting them license all the patents for a fee. It is necessary to figure out relative technological contribution of patent for fair distribution of royalty revenues among patent holders. The Rating/Ranking Method seems to fit to that valuation purpose. We examined technology valuation models from various organizations and selected a set of more influential valuation factors which can be incorporated as scoring criteria in the Rating/Ranking Method.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2006.11a
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• pp.55-58
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• 2006

차세대 방송서비스 개발의 일환으로 관심을 모으고 있는 다시점 비디오 부호화(multi-view video coding, MVC) 방식은 인접한 여러 대의 카메라로 동시에 획득한 영상을 효과적으로 압축하는데 그 목적이 있다. 이때, 중간시전 영상을 생성하여 부호화하는 과정의 참조영상으로 이용할 수 있으며, 이를 위해서는 다시점 비디오 특성에 맞는 영상보간 방법이 필요하다. 기존에 제안되었던 영상보간법은 변위의 검색범위를 초기에 설정하여 블록정합을 이용하여 화소 단위로 변위를 측정하기 때문에 카메라 사이의 거리가 크거나 객체의 움직임이 커서 변위의 변동이 심한 영상에서는 안정적인 화질의 영상을 얻기 어렵다. 또한, 고정된 크기의 블록을 이용하여 전체 변위를 측정하므로 객체의 변위차가 큰 영역에서 변위 오류가 많이 발생한다. 본 논문에서는 이와 같은 문제를 해결하여 보다 개선된 화질의 중간시점 영상을 얻기 위한 새로운 영상보간법을 제안한다. 영역분할을 이용한 초기의 변위측정 과정에서, 처음부터 최대 변위의 범위를 설정하는 대신에 블록 단위로 대략적인 변위륵 측정한 후에, 가변 블록을 이용하여 보다 세밀한 변위를 측정한다. 이 방법은 변위차가 큰 객체의 경계 부분에서 보다 정확하게 변위를 측정 할 수 있으므로, 화소 단위로 변위를 측정할 때 이전에 추한 변위 정보를 바탕으로 각 화소별로 검색 범위를 설정한다. 적응적으로 설정된 검색 범위를 이용하여 화소 단위의 변위를 측정하면 보다 개선된 변위를 얻을 수 있다. 추가적으로, 변위측정 과정에서 발생하는 변위의 오류를 최대한 줄이기 위해 각 단계별로 미디언 필터를 이용하여 변위 오류를 수정하였다. 본 논문에서 제안한 방법으로 실험한 결과 기존의 영상보간 방법보다 화질이 약 $1{\sim}4dB$ 정도 개선되었다.필, 투명도 등을 위성원격탐사 자료와 GIS를 이용하여 공간분석을 실시하고, 공간분포도를 작성함으로써 대상해역의 해양환경을 파악하였다. 본 연구결과, 분석된 위성자료가 현장조사에 의한 검증이 이루어지지 않을 경우, 영상자료분석을 통한 표층수온 추출은 대기 중의 수증기와 에어로졸에 의한 계산치의 오차가 반영되기 때문에 실측치 보다 낮게 평가 될 수 있으므로, 반드시 이에 대한 검증이 필요함을 알 수 있었다. 현지관측에 비해 막대한 비용과 시간을 절약할 수 있는 위성영상해석방법을 이용한 방법은 해양수질파악이 가능할 것으로 판단되며, GIS를 이용하여 다양하고 복잡한 자료를 데이터베이스화함으로써 가시화하고, 이를 기초로 공간분석을 실시함으로써 환경요소별 공간분포에 대한 파악을 통해 수치모형실험을 이용한 각종 환경영향의 평가 및 예측을 위한 기초자료로 이용이 가능할 것으로 사료된다.염총량관리 기본계획 시 구축된 모형 매개변수를 바탕으로 분석을 수행하였다. 일차오차분석을 이용하여 수리매개변수와 수질매개변수의 수질항목별 상대적 기여도를 파악해 본 결과, 수리매개변수는 DO, BOD, 유기질소, 유기인 모든 항목에 일정 정도의 상대적 기여도를 가지고 있는 것을 알 수 있었다. 이로부터 수질 모형의 적용 시 수리 매개변수 또한 수질 매개변수의 추정 시와 같이 보다 세심한 주의를 기울여 추정할 필요가 있을 것으로 판단된다.변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에 있어서 시장수익률을 평균적으로 초과할 수 있는 거래전략은