• 산업경영시스템학회지
• /
• 제46권3호
• /
• pp.78-88
• /
• 2023

The increasing number of technology transfers from public research institutes in Korea has led to a growing demand for patent recommendation platforms for SMEs. This is because selecting the right technology for commercialization is a critical factor in business success. This study developed a patent recommendation system that uses technology transfer data from the past 10 years to recommend patents that are suitable for SMEs. The system was developed in three stages. First, an item-based collaborative filtering system was developed to recommend patents based on the similarities between the patents that SMEs have previously transferred. Next, a content-based recommendation system based on TF-IDF was developed to analyze patent names and recommend patents with high similarity. Finally, a hybrid system was developed that combines the strengths of both recommendation systems. The experimental results showed that the hybrid system was able to recommend patents that were both similar and relevant to the SMEs' interests. This suggests that the system can be a valuable tool for SMEs that are looking to acquire new technologies.

• Journal of Microbiology and Biotechnology
• /
• 제27권4호
• /
• pp.856-867
• /
• 2017

Supplement of dietary fibers (DF) is regarded as one of the most effective way to prevent and relieve chronic diseases caused by long-term intake of a high-fat diet in the current society. The health benefits of soluble dietary fibers (SDF) have been widely researched and applied, whereas the insoluble dietary fibers (IDF), which represent a higher proportion in plant food, were mistakenly thought to have effects only in fecal bulking. In this article, we proved the anti-obesity and glucose homeostasis improvement effects of IDF from pear pomace at first, and then the mechanisms responsible for these effects were analyzed. The preliminary study by real-time PCR and ELISA showed that this kind of IDF caused more changes in the gut microbiota compared with in satiety hormone or in hepatic metabolism. Further analysis of the gut microbiota by high-throughput amplicon sequencing showed IDF from pear pomace obviously improved the structure of the gut microbiota. Specifically, it promoted the growth of Bacteroidetes and inhibited the growth of Firmicutes. These results are coincident with previous hypothesis that the ratio of Bacteroidetes/Firmicutes is negatively related with obesity. In conclusion, our results demonstrated IDF from pear pomace could prevent high-fat diet-induced obesity in rats mainly by improving the structure of the gut microbiota.

• 한국수산과학회지
• /
• 제46권4호
• /
• pp.337-342
• /
• 2013

Porphyra yezoensis is potentially an excellent source of dietary fiber, amino acids, and eicosapentaenoic acid (EPA) because this red seaweed is available in large quantities and is rich in polysaccharides, proteins, and n-3 fatty acids. This study determined the insoluble dietary fiber (IDF), soluble dietary fiber (SDF), neutral detergent fiber (NDF), acid detergent fiber (ADF), amino acid, and fatty acid contents of P. yezoensis harvested monthly from November 2011 to March 2012. The total dietary fiber (TDF) and IDF contents ranged from 27.2-34.9% and 18.5-26.9%, respectively, and were greater in March than November. The SDF content ranged from 4.9-8.4% and did not differ significantly during growth. Galactose and 3,6-anhydro galactose were the major sugars in IDF and SDF. The higher levels of galactose and 3,6-anhydro galactose in IDF might be due to associated porphyran-type polysaccharides. Mannose and xylose were also major sugars in IDF. The total amino acid contents decreased gradually from November to March. The total amino acid composition of Porphyra was dominated by alanine, glutamic acid, arginine, and aspartic acid. No significant changes in the fatty acid profile were observed throughout the study period. The dominant fatty acid during all seasons was EPA, which comprised as much as 50% of the total fatty acid content.

• 정보처리학회논문지B
• /
• 제18B권5호
• /
• pp.279-290
• /
• 2011

최근 웹 및 웹 콘텐츠의 양이 폭발적으로 증가함에 따라서 콘텐츠 추천 시스템(CRS, Contents Recommendation System)은 최근 중요한 이슈로 대두되었다. 이에 따라, 콘텐츠 추천 시스템에 대한 콘텐츠 추천 방법(CRM, Contents Recommendation Method)이 꾸준히 연구 및 소개되어 왔다. 그러나 전통적인 CRM들은 콘텐츠 생성자의 위상이 중요하게 여겨지는 웹 2.0 환경에서 활용하는데 부족함이 있다. 본 논문에서는 연결 정도 중심성 분석(Degree of centrality) 및 TF-IDF를 활용하여 양질의 콘텐츠를 추천하는 방법을 제안한다. 이를 위하여 본 논문에서는 RSS와 FOAF를 수집하여 TF-IDF와 연결 정도 중심성을 각각 분석한다. 그리고 분석된 두 값을 이용하여 콘텐츠를 추천한다. 본 논문에서 제안한 방법을 검증하기 위하여 우리는 시스템을 구현하였으며 콘텐츠 추천 결과를 보인다. 본 논문에서 제안한 방법을 사용하면 입력된 질의어에 대해 사용자와 콘텐츠의 관계를 분석하고 이를 통해 적절한 콘텐츠를 추출할 수 있다. 그리고 본 논문에서 제안한 방법을 통해 구축한 시스템은 전통적인 콘텐츠 추천 시스템과 달리 소셜네트워크에서 콘텐츠 생산자에 대한 중요도가 반영됨으로 보다 신뢰성이 있는 결과를 얻을 수있다.

• Journal of Dairy Science and Biotechnology
• /
• 제27권1호
• /
• pp.29-35
• /
• 2009

To focus attention on milk and dairy products, we celebrate World Milk Day on the first day of June. Milk is a primary source of essential nutrients for newborn mammals, including humans. Milk and its by-products have been integral to human life since domestication of the dairy cow. Even though a large portion of the population is lactase impersistent, consumption of dairy products, including liquid milk, has been increasing over the last decade in Korea. Per capita annual consumption of dairy products in Korea increased to 61.3 kg in 2008, up from 49.4 kg in 1998. However, consumption of liquid milk has only increased marginally from 30.3 kg in 1998 to 35 kg in 2008. In 2007, the price of farm milk in Korea was the highest in the world. High dairy prices are forcing major manufacturers to find alternative, less expensive sources of milk, which has led to an increase in imported dairy products. Recently, the International Dairy Federation (IDF) published a special report containing the figures for world milk production, milk processing, and consumption. Understanding the current situation with regard to world diary production and the outlook for the industry could be useful during the present world economic crisis. The authors of this brief review summarize the status of dairy production in countries throughout the world, including Korea, along with some of the data published in the IDF annual report. The authors greatly appreciate the support of IDF Korea and the IDF for generously providing the data used in this paper.

• 한국정보전자통신기술학회논문지
• /
• 제11권2호
• /
• pp.181-188
• /
• 2018

본 논문에서는 텍스트 마이닝을 이용한 소비자의 소비패턴 분석 기법을 제안하였다. 제안하는 소비패턴 분석기법에서는 첫째, 피어슨의 상관계수를 이용하여 사용자의 평가점수에 대한 유사도를 분석하고, 둘째, 텍스트 마이닝 기법 중의 하나의 TD-IDF의 코사인 유사도를 이용하여 사용자의 리뷰들간의 유사도를 분석하고, 셋째, Sentiwordnet를 이용하여 평가점수와 리뷰의 일치성을 분석하였다. 그리고 제안하는 소비패턴 분석 기법은 평가점수의 유사도와 리뷰의 유사도를 이용하여 근접이웃들을 선정하고, 선정된 이웃에 소비패턴에 적합한 추천리스트를 제공하였다. 추천리스트의 정확도는 피어슨 상관계수가 0.79, TD-IDF가 0.73, 그리고 제안하는 소비패턴분석기법이 0.82로 나타났다. 즉, 제안하는 소비패턴분석기법은 소비자의 정량적인 평가점수와 정성적인 리뷰를 모두 이용하므로 소비 패턴을 좀 더 정확하게 분석할 수 있었다.

• Restorative Dentistry and Endodontics
• /
• 제45권2호
• /
• pp.21.1-21.12
• /
• 2020

The aim of this article was to review age-dependent clinical recommendations for appropriate root canal instrumentation techniques. A comprehensive narrative review of canal morphology, the structural characteristics of dentin, and endodontic outcomes at different ages was undertaken instead of a systematic review. An electronic literature search was carried out, including the Medline (Ovid), PubMed, and Web of Science databases. The searches used controlled vocabulary and free-text terms, as follows: 'age-related root canal treatment,' 'age-related instrumentation,' 'age-related chemo-mechanical preparation,' 'age-related endodontic clinical recommendations,' 'root canal instrumentation at different ages,' 'geriatric root canal treatment,' and 'pediatric root canal treatment.' Due to the lack of literature with practical age-based clinical recommendations for an appropriate root canal instrumentation technique, a narrative review was conducted to suggest a clinical algorithm for choosing the most appropriate instrumentation technique during root canal treatment. Based on the evidence found through the narrative review, an age-related clinical algorithm for choosing appropriate instrumentation during root canal treatment was proposed. Age affects the morphology of the root canal system and the structural characteristics of dentin. The clinician's awareness of root canal morphology and dentin characteristics can influence the choice of instruments for root canal treatment.

• 정보처리학회논문지:소프트웨어 및 데이터공학
• /
• 제8권9호
• /
• pp.373-378
• /
• 2019

현재 프로그래밍 소스들이 온라인에서 공개되어 있기 때문에 무분별한 표절이나 저작권에 대한 문제가 일어나고 있다. 그 중 반복된 저자가 작성한 소스코드는 프로그래밍 특성상 고유의 지문이 있을 수 있다. 본 논문은 구글 코드 잼 프로그램 소스를 심층신경망을 이용한 학습을 통해 각각의 저자를 분별하는 것이다. 이 때 원작자의 소스를 예측 기반 벡터나, 주파수 기반 접근법인 TF-IDF등의 전처리기를 사용하여 입력값들을 벡터화해주고, 심층신경망을 이용한 학습을 통해 각 프로그램 소스 원작자를 식별하고자 한다. 전처리기를 이용하여 언어에 독립적인 학습시스템을 구성하고, 기존의 다른 학습 방법들과 비교하였다. 그 중 TF-IDF와 심층신경망을 사용한 모델은 다른 전처리기나 다른 학습방식을 사용한 것보다 좋은 성능을 보임을 확인하였다.

• 한국프랜차이즈경영연구
• /
• 제12권4호
• /
• pp.13-23
• /
• 2021

Purpose: This study aimed to derive clues for the franchise industry to overcome difficulties such as various legal regulations and social responsibility demands and to continuously develop by analyzing the research trends related to franchises published in Korea. Research design, data and methodology: As a result of searching for 'franchise' in ScienceON, abstracts were collected from papers published in domestic academic journals from 1994 to June 2021. Keywords were extracted from the abstracts of 1,110 valid papers, and after preprocessing, keyword analysis, TF-IDF analysis, and topic modeling using LDA algorithm, along with trend analysis of the top 20 words in TF-IDF by year group was carried out using the R-package. Results: As a result of keyword analysis, it was found that businesses and brands were the subjects of research related to franchises, and interest in service and satisfaction was considerable, and food and coffee were prominently studied as industries. As a result of TF-IDF calculation, it was found that brand, satisfaction, franchisor, and coffee were ranked at the top. As a result of LDA-based topic modeling, a total of 12 topics including "growth strategy" were derived and visualized with LDAvis. On the other hand, the areas of Topic 1 (growth strategy) and Topic 9 (organizational culture), Topic 4 (consumption experience) and Topic 6 (contribution and loyalty), Topic 7 (brand image) and Topic 10 (commercial area) overlap significantly. Finally, the trend analysis results for the top 20 keywords with high TF-IDF showed that 10 keywords such as quality, brand, food, and trust would be more utilized overall. Conclusions: Through the results of this study, the direction of interest in the franchise industry was confirmed, and it was found that it was necessary to find a clue for continuous growth through research in more diverse fields. And it was also considered an important finding to suggest a technique that can supplement the problems of topic trend analysis. Therefore, the results of this study show that researchers will gain significant insights from the perspectives related to the selection of research topics, and practitioners from the perspectives related to future franchise changes.

• 정보처리학회논문지:소프트웨어 및 데이터공학
• /
• 제7권12호
• /
• pp.477-484
• /
• 2018

컴퓨터 기술의 발전으로 힘입어 수많은 논문이 출판되고 있으며, 새로운 분야들도 계속 생기면서 사용자들은 방대한 논문들 중 자신이 필요로 하는 논문을 검색하거나 분류하기에 많은 어려움을 겪고 있다. 사용자의 이러한 어려움을 완화하기 위해 본 논문에서는 유사 내용의 논문을 분류하고 이를 군집화하는 방법을 제한한다. 본 논문의 제안 방법은 TF-IDF를 이용하여 각 논문의 초록으로부터 주요 주제어를 추출하고, K-평균 클러스터링 알고리즘을 이용하여 추출한 TF-IDF 값을 근거로 논문들을 유사 내용의 논문으로 군집화한다. 제안 방법의 실효성을 검증하기 위해 실제 데이터인 FGCS 저널의 논문 데이터를 사용하였으며, 엘보우 기법을 적용하여 클러스터 개수를 도출하고 실루엣 기법을 이용하여 클러스터링 성능을 검증하였다.