• 한국수산과학회지
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• 제54권5호
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• pp.714-723
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• 2021

This study investigated the quality characteristics of anchovy Engraulis japonicus sauce added with onion to improve flavor, reduce salinity, and enhance the antioxidative activity. 4 samples were prepared to find the proper amount of onion, including a control group without onion and 3 samples with different amounts of onion: 10% (Fs-10), 20% (Fs-20), and 40% (Fs-40). The samples were collected at intervals of 15 days while fermenting at 25℃ for 60 days. As the amount of added onion increased, the browning index decreased, and the flavor of anchovy sauce was enhanced. The composition of amino acids showed high content of glutamate and alanine that can improve the overall taste. In the free radical scavenging activity test, the Fs-40 group showed the highest value, 74.72%, compared to 10.98% of the control in the antioxidative activity. When evaluating overall preference such as color, fishy smell, flavor with richness, and overall acceptability, the control was rated the lowest, while the Fs-40 was rated the highest and was recognized for its overall excellence. Adding onion not only reduced salinity and increased antioxidant activity but also improved overall sensory properties by adding richness and minimizing fishy smell.

• 품질경영학회지
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• 제46권3호
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• pp.509-522
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• 2018

Purpose: The purpose of this study was to propose more accurate mathematical model which can represent result of government quality assurance activity, especially corrective action and flaw. Methods: The collected data during government quality assurance activity was represented through histogram. To find out which distributions (Poisson distribution, Zero-Inflated Poisson distribution) could represent the histogram better, this study applied Pearson's correlation coefficient. Results: The result of this study is as follows; Histogram of corrective action during past 3 years and Zero-Inflated Poisson distribution had strong relationship that their correlation coefficients was over 0.94. Flaw data could not re-parameterize to Zero-Inflated Poisson distribution because its frequency of flaw occurrence was too small. However, histogram of flaw data during past 3 years and Poisson distribution showed strong relationship that their correlation coefficients was 0.99. Conclusion: Zero-Inflated Poisson distribution represented better than Poisson distribution to demonstrate corrective action histogram. However, in the case of flaw data histogram, Poisson distribution was more accurate than Zero-Inflated Poisson distribution.

• 기술혁신학회지
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• 제10권2호
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• pp.310-333
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• 2007

이 논문은 우리나라 주요 대학의 과학기술 분야의 연구개발 활동에 대한 상대적인 비교우위와 종합적인 특성화 정도를 살펴 볼 수 있는 지수들을 통해 정부의 연구개발비 수혜 규모, 수도권과 지방 소재여부, 국공립과 사립으로 구분한 경우 특성화의 정도에 대한 차이가 있을 것인가에 대한 가설을 검증하고 검증 결과에 대한 정책적 의미를 살펴본다. 정부의 재정지원 규모가 클수록 종합적인 특성화의 정도는 약화되는 것으로 분석되었다. 그러나 소재 지역의 구분은 특성화의 차별화에 영향을 주지 않는 것으로 밝혀졌다. 한편, 국공립 형태의 대학군이 종합적인 특성화가 상대적으로 심화되어 있는 것으로 분석되었다. 이 논문의 검증 결과가 주는 정책적 시사점은 추후정부의 특성화 정책 관련 세부추진 방향과 전략에 도움이 될 것으로 판단이 된다. 이를 위해서는 이 연구에서 제안하는 상대비교우위 및 종합적 특성화와 함께 개별 연구주체인 각 대학들의 전반적인 그리고 개별적인 연구개발 활동의 우수성에 대한 분석이 병행되어야 할 것으로 생각한다. 아울러 그동안 정부의 대학 특성화 정책추진 성과에 대한 종합적인 분석이 이루어져 정책에 대한 실효성이 검증이 되어야 한다.

• 한국식품과학회지
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• 제43권1호
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• pp.51-57
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• 2011

치자의 항산화 활성과 유지산화 지연효과를 측정하고 활성을 보인 분획에서 주성분인 geniposide와 crocin을 분리하고 그 구조를 확인하였다. 여러 분획 중 부탄올 분획과 물 분획의 항산화성이 가장 우수함을 확인하고 그 분획의 주성분으로 분리된 geniposide와 crocin의 단일물질로서의 항산화력을 측정 비교한 결과, crocin의 항산화력이 더 강함을 알 수 있었다. 특히 SOD 유사활성 시험에서 여러 분획의 활성이 총 메탄올 추출물보다도 낮음에 비하여 crocin 단일 물질은 양성 대조군 cholorogenic acid의 $EC_{50}$ 값 453 ppm에 비하여 절반정도 낮은 $EC_{50}$값 259 ppm으로 매우 높은 활성을 보였다. 유지 산화 지연효과도 치자의 총 메탄올 추출물 250 ppm 이상의 농도에서의 AI값은 BHA 1000 ppm에서의 AI값 1.66 보다 큰 1.81 이상임을 보여 유지 산화 지연효과가 우수함을 나타내었다. 이 논문의 연구결과로 치자의 항산화 기능성 식품 및 첨가제로서의 개발가능성이 확인되었다고 사료된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• 한국자원식물학회지
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• 제31권3호
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• pp.237-253
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• 2018

The adzuki bean (Vigna angularis L.) is a red-grained legume that has a number of essential nutrients and is used in traditional dishes in Asia. Adzuki bean industrial by-products are also a potential low-cost source of some unique bioactive polyphenols. Hence, here, the authors aimed to perform a comparative study of the phytochemical profiles of the leaves and seeds of the adzuki bean and compare their antioxidant, ${\alpha}$-glucosidase inhibition, and tyrosinase inhibition activity. The authors assessed antioxidant activity by DPPH, ABTS, FRAP, PR, TPC, and SOD assays, which showed wide variation, respectively. From the relative antioxidant capacity index results, 10 adzuki bean landraces were selected to compare for phytochemicals and bioactivity using leaf and seed extracts. Antioxidant, ${\alpha}$-glucosidase inhibition, and tyrosinase inhibition activity in the leaf extracts were higher than in the seed extracts, and there were more flavonols and isoflavones in the leaf extracts than in the seed extracts. This study demonstrated that adzuki bean leaf extracts could be a new natural antioxidant or antidiabetic agent and a skin whitener and can also be used in industrial applications.

• 한국어병학회지
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• 제9권1호
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• pp.87-93
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• 1996

한국산 메기(Silurus asotus)에 $\beta$-glucan을 복강내에 접종한 후, 경시적으로 말초혈액중의 호중구의 수와 PAS반응의 변화, 호중구의 탐식능 및 혈청중의 리소자임의 활성변화를 지표로 비특이적방어능력의 증강유무를 조사하였다. 글루칸의 투여후 말초혈액중의 호중구수를 증가시켰으며 투여회수에 따라 2회 접종한 경우 호중구의 증가가 지속되는 기간이 1회 접종어보다 길게 나타났다. 그러나 호중구의 PAS반응에는 변화가 없었다. 또 탐식율도 현저하게 증가하였지만 탐식지수는 변화가 없었다. 리소자임의 활성은 2회 접종시만이 현저히 증가하였으나 1회 접종시에는 활성의 증가가 없었다. 그러므로 $\beta$-glucan의 투여는 말초혈액중의 호중구수와 탐식능의 증가 및 리소자임 활성의 증가등 비특이적방어인자의 활성을 증가시켜 어체를 방어하는 능력을 증강시키는 것임을 알 수 있다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.546-548
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• 2003

The expanded waste glass material is one of the recycling materials. We investigated whether the expanded waste glass material is useful as planting basis and effective as heat insulation. We examined the difference of the materials by using vegetation index and temperature. The combination of the improved soils and the improved glasses marked higher vegetation index than other mixture materials. Moreover, this combination material is excellent than other ones to heat insulation. Therefore, it suggests that the expanded waste glass material has high potential to be used as a material for planting basis.

• 한국식품과학회지
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• 제45권1호
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• pp.34-39
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• 2013

본 연구는 전분 및 단백질 함량이 높은 녹두를 산으로 가수분해 시킨 다음 열처리를 통한 항산화 활성의 변화를 조사하였다. 유리당 및 유리아미노산 최대생성 가수분해조건은 6 N 염산으로 2시간 처리조건으로 선정하였으며, $130^{\circ}C$에서 2시간 열처리 한 다음 갈변도, 5'-HMF함량, 환원당, 항산화 성분 및 활성을 검토하였다. 갈변도는 가수분해 시키지 않은 열처리에서는 0.17이었지만 가수분해 후 열처리에서 2.31로 최대 값을 나타내었으며, 5'-HMF 함량도 산가수분해 시키지 않은 열처리에서는 검출되지 않았지만 가수분해 후 열처리에서 81.61 mg/g로 증가하였다. 환원당은 열처리 전 가수분해만 하였을 경우 190.48 mg/g이었지만 열처리 후 137.34 mg/g으로 감소하였다. 총 폴리페놀 함량은 가수분해 시키지 않은 열처리에서는 8.79 mg/g이었지만 열처리 후에는 55.95 mg/g으로 증가하였다. ABTS 라디칼소거능은 가수분해 시키지 않은 열처리에서는 1.75 mg AA eq/g이었지만 열처리 후에는 22.18 mg AA eq/g으로 증가하였으며, DPPH 라디칼소거능은 0에서 3.644 mg Trolox eq/g으로 증가하였다.

• 한국자원식물학회지
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• 제29권6호
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• pp.642-649
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• 2016

This study was conducted to investigate the antioxidant activity in the leaves and stems of 50 tomato accessions, in order to examine the possibility of using tomato by-products as a functional material. The extracts of the leaves (LE) and stems (SE) were analyzed for DPPH, ABTS, and total polyphenol content (TPC). Antioxidant activities and TPC differed significantly between the LE and SE of the 50 tomato accessions. TPC in LE and SE showed wide variation, ranging from 24.4 to 60.6 and 12.5 to 18.8 mg GAE/g, respectively. The DPPH and ABTS antioxidant activities of LE ranged from 10.0 to 38.2% (scavenging effect) and 20.8 to 59.0 mg ASC/g, respectively, while the DPPH and ABTS measurements of SE were 1.4 to 8.8% and 2.2 to 22.5 mg ASC/g, respectively. As assessed by the relative antioxidant capacity index (RACI), IT033117 and IT203466 had the highest antioxidant activity in LE and SE, respectively. These results will expand the knowledge of antioxidant activity and provide information on tomato accessions valuable for the development of functional foods and food additives.