• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2381-2399
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• 2019

Traditional recommendation algorithms on Collaborative Filtering (CF) mainly focus on the rating prediction with explicit ratings, and cannot be applied to the top-N recommendation with implicit feedbacks. To tackle this problem, we propose a new collaborative filtering approach namely Maximize MAP with Matrix Factorization (MFMAP). In addition, in order to solve the problem of non-smoothing loss function in learning to rank (LTR) algorithm based on pairwise, we also propose a smooth MAP measure which can be easily implemented by standard optimization approaches. We perform experiments on three different datasets, and the experimental results show that the performance of MFMAP is significantly better than other recommendation approaches.

• KSBB Journal
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• v.27 no.6
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• pp.330-334
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• 2012

This study was performed to investigate the inhibitory activity of ethanol extract from Ecklonia cava (EE-EC) against trypsin and the stability of this activity under various heat and pH conditions. As a results, The EE-EC showed trypsin inhibitory activity of 77, 54, and 32% at concentrations of 5, 2.5, and 1 mg/mL and was not affected by the heat treatment conditions used in this study. Whereas trypsin inhibitory activity of EE-EC was stable in the pH range of 2-8, but decreased with pH treatment of pH 10 compared with the control. Therefore, the EE-EC could be useful as a natural and functional agent.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.129-132
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• 2015

본 논문에서는 단어열 패턴과 리커런트 신경망을 이용한 하이브리드 음성 인식 오류 수정 방법을 제안한다. 음성 인식 결과 문장에서 음성 인식 오류 단어가 발견되었을 경우에 첫째로 단어열 패턴과 그 패턴의 발음열 점수를 통해 1차적 수정을 하고 적절한 패턴을 찾지 못하였을 경우 음절단위로 구성된 Recurrent Neural Network를 통해 단어를 음절단위로 생성하여 2차적으로 오류를 수정한다. 해당 방법론을 한국어로 된 음성 인식 오류와 그 정답 문장으로 구성된 TV 가이드 영역 말뭉치를 바탕으로 성능을 평가하였고, 기존의 단순 단어열 패턴 기반의 음성 인식 오류 수정보다 성능이 향상되었음을 볼 수 있었다. 이 방법론은 음성 인식 오류와 정답의 말뭉치가 필요 없이 옳은 문장으로만 구성된 일반 말뭉치만으로 훈련이 가능하여, 음성 인식 엔진에 의존적이지 않는 강점이 있다.

• 한국약용작물학회:학술대회논문집
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• 2008.11a
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• pp.461-462
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• 2008

• 한국약용작물학회:학술대회논문집
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• 2008.11a
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• pp.487-488
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• 2008

• Bulletin of the Korean Chemical Society
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• v.34 no.11
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• pp.3181-3182
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• 2013

• Food Science of Animal Resources
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• v.44 no.2
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• pp.326-355
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• 2024

Expectations for the industrialization of cultured meat are growing due to the increasing support from various sectors, such as the food industry, animal welfare organizations, and consumers, particularly vegetarians, but the progress of industrialization is slower than initially reported. This review analyzes the main issues concerning the industrialization of cultured meat, examines research and media reports on the development of cultured meat to date, and presents the current technology, industrialization level, and prospects for cultured meat. Currently, over 30 countries have companies industrializing cultured meat, and around 200 companies that are developing or industrializing cultured meat have been surveyed globally. By country, the United States has over 50 companies, accounting for more than 20% of the total. Acquiring animal cells, developing cell lines, improving cell proliferation, improving the efficiency of cell differentiation and muscle production, or developing cell culture media, including serum-free media, are the major research themes related to the development of cultured meat. In contrast, the development of devices, such as bioreactors, which are crucial in enabling large-scale production, is relatively understudied, and few of the many companies invested in the development of cultured meat have presented products for sale other than prototypes. In addition, because most information on key technologies is not publicly available, it is not possible to determine the level of technology in the companies, and it is surmised that the technology of cultured meat-related startups is not high. Therefore, further research and development are needed to promote the full-scale industrialization of cultured meat.

• Proceedings of the Korean Magnestics Society Conference
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• 2007.05a
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• pp.131.1-131.1
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• 2007

• Polymer Science and Technology
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• v.20 no.3
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• pp.245-250
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• 2009

• Journal of Magnetics
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• v.22 no.1
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• pp.60-64
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• 2017

Mischmetal of Bayan Obo ore was utilized to prepare the high performance $(Pr_{7.34}Nd_{21.86})_{1-x}MM_xFe_{68.7}Al_{0.1}Cu_{0.12}Co_{0.88}B$ ribbons using melt-spinning method. Phase composition and magnetic properties were investigated at room temperature. The ribbons mainly consist of $R_2Fe_{14}B$ phase in isotropic nanostructure. Both coercivity and maximum energy product decrease with the increase of MM content. The magnetic parameters of the ribbons with MM = 20 % in mass are $B_r=7.38kGs$, $H_{cj}=13.66kOe$, $(BH)_{max}=11.81MGOe$. Henkel plots were applied to demonstrate the exchange coupling interaction between grains.