• Bulletin of Food Technology
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• v.26 no.3
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• pp.188-194
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• 2013

글로벌동향브리핑(GTB)에서는 100여명의 국내 외 과학기술 전문가가 농림 수산, 생명과학, 보건 의료 등 19개 주제로 해외 과학기술동향을 소개하고 있다. 이를 바탕으로 식품분야의 최신 해외과학기술 주요동향을 요약하여 재정리 하고자 한다. 농수축산물을 포함하여 대다수의 식품은 좋은 음식으로서의 기능 뿐 아니라, 다양한 용도로 활용된다. 점차 이러한 연구가 많아지고 있으며 활용의 범주가 바이오리파이너리, 에너지 생산 외에도 의학, 화학산업 등으로 다양하다. 이번 호에서는 지난해부터 발표된 식품의 새로운 용도가 발견된 결과를 다루고자 한다.

• Bulletin of Food Technology
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• v.26 no.1
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• pp.42-47
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• 2013

글로벌동향브리핑(GTB)에서는 100여명의 국내 외 과학기술 전문가가 농림 수산, 생명과학, 보건 의료 등 19개 주제로 해외 과학기술동향을 소개하고 있다. 이를 바탕으로 식품분야의 연구주제를 선정해 최신 해외과학기술 주요동향을 요약하여 재정리 하고자 한다. 과학기술정책의 패러다임이 생산성, 효율성을 높이는 방향에서 삶의 질, 복지 등 사회적 기여도를 높이는 방향으로 전환하고 있다. 식품의 기능은 다른 측면에서는 식품의 독성이기도하다. 이번 호에서는 지난 시기 발표된 식품의 기능과 함께 독성이라는 측면에서의 연구결과를 다루고자 한다.

• Bulletin of Food Technology
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• v.26 no.4
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• pp.286-293
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• 2013

글로벌동향브리핑(GTB)에서는 100여명의 국내 외 과학기술 전문가가 농림 수산, 생명과학, 보건 의료 등 19개 주제로 해외 과학기술동향을 소개하고 있다. 이를 바탕으로 식품분야의 최신 해외과학기술 주요동향을 요약하여 재정리 하고자 한다. 새로운 기술의 등장은 타분야 기술로 빠르게 파급된다. 최근 등장하는 기술 역시 농식품 분야로 전파되어 새로운 식품기술(Food Technology)의 등장을 견인하고 있다. 식품에 적용되기까지 많은 시간이 소요될 수 있으나 일부 연구자들은 발빠르게 움직여 관련 결과가 제시되기도 하고 있다. 따라서 이번 호에서는 3D printing, Big data, 영상기술 등 타분야의 신기술을 다루고자 한다.

• Bulletin of Food Technology
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• v.25 no.3
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• pp.268-274
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• 2012

글로벌동향브리핑(GTB)에서는 100여명의 국내 외 과학기술 전문가가 농림 수산, 생명과학, 보건 의료 등 19개 주제로 해외 과학기술동향을 소개하고 있다. 이를 바탕으로 식품분야의 최신 해외과학기술 주요동향을 요약하여 재정리 하고자 한다. 지난 3개월뿐만 아니라 글로벌동향에서는 다수의 비만 관련 연구결과가 제시되었다. 비만과 함께 당뇨 등의 대사성질환에 대한 연구까지 포함하면 전세계의 관심을 보여주듯 가장 많이 다뤄진 주제라 판단된다. 하여 이중에서 식품과 관련있거나 참고할 만한 11개의 기사를 선정하였다.

• Bulletin of Food Technology
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• v.25 no.4
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• pp.326-336
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• 2012

글로벌동향브리핑(GTB)에서는 100여명의 국내 외 과학기술 전문가가 농림 수산, 생명과학, 보건 의료 등 19개 주제로 해외 과학기술동향을 소개하고 있다. 이를 바탕으로 식품분야의 최신 해외과학기술 주요동향을 요약하여 재정리 하고자 한다. 과학기술정책의 패러다임이 생산성, 효율성을 높이는 방향에서 삶의 질, 복지 등 사회적 기여도를 높이는 방향으로 전환하고 있다. 특히 식품안전은 위험성이 제기되었을 때 사회전체가 패닉에 빠질 수 있어 안전성의 확보가 중요한 화두로 자리잡은지 오래되었다. 식품안전을 보장하기 위해서는 식품에서 주목받고 있는 기능성 자체가 지나칠 경우 독이 될 수 있다는 측면에서의 안전성과 식품의 변질이나 오염으로부터 지켜내기 위한 안전성 그리고 신기술과의 융합이라는 측면에서의 안전성이 있을 수 있겠다. 이번 호에서는 이들 세 측면에서 2012년에 발표된 연구결과 20개를 다루고자 한다.

• Journal of Navigation and Port Research
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• v.38 no.3
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• pp.239-246
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• 2014

A study on the elution characteristics of biostimulating agents (sulfate and nitrate) from biostimulants which are used for in-situ bioremediation for the coastal sediment contaminated with organic matter was performed. The biostimulating agents were mixed with the coastal sediment, and then massed the mixture into ball. Two kinds of ball type biostimulant were prepared by coating the ball surface with two different polymers, cellulose acetate and polysulfone. A granular type biostimulant (GTB) was also prepared by impregnating a granular activated carbon in the biostimulating agent solution. The image of scanning electron microscopy for the biostimulant coated with cellulose acetate (CAB) showed that the inner side of the coating layer consisted of irregular and bigger size of pores, and the surface layer had tight structure like beehive. For the biostimulant coated with polyfulfone (PSB), the whole coating layer had a fine structure without pore. The elution rate of the biostimulating agents for the CAB was higher than that for the PSB, and the elution rate for the GTB was considerably higher than that for the PSB in distilled water as well as in sea water. The elution rate of the biostimulating agents in turbulent water flow was about 3 times higher than that in standing water, and the elution rate of nitrate was higher than that of sulfate from the stimulating agents.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.79-92
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• 2015

Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology and a topic modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patents, and reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a Relational Data-to-Triples transformer is implemented. Also, a topic modeling approach is introduced to extract the document-topic relationships. A triple store is used to manage and process the ontology data while preserving the network characteristics of knowledge map service. Knowledge map can be divided into two types: one is a knowledge map used in the area of knowledge management to store, manage and process the organizations' data as knowledge, the other is a knowledge map for analyzing and representing knowledge extracted from the science & technology documents. This research focuses on the latter one. In this research, a knowledge map service is introduced for integrating the national R&D data obtained from National Digital Science Library (NDSL) and National Science & Technology Information Service (NTIS), which are two major repository and service of national R&D data servicing in Korea. A lightweight ontology is used to design and build a knowledge map. Using the lightweight ontology enables us to represent and process knowledge as a simple network and it fits in with the knowledge navigation and visualization characteristics of the knowledge map. The lightweight ontology is used to represent the entities and their relationships in the knowledge maps, and an ontology repository is created to store and process the ontology. In the ontologies, researchers are implicitly connected by the national R&D data as the author relationships and the performer relationships. A knowledge map for displaying researchers' network is created, and the researchers' network is created by the co-authoring relationships of the national R&D documents and the co-participation relationships of the national R&D projects. To sum up, a knowledge map-service system based on topic modeling and ontology is introduced for processing knowledge about the national R&D data such as research projects, papers, patent, project reports, and Global Trends Briefing (GTB) data. The system has goals 1) to integrate the national R&D data obtained from NDSL and NTIS, 2) to provide a semantic & topic based information search on the integrated data, and 3) to provide a knowledge map services based on the semantic analysis and knowledge processing. The S&T information such as research papers, research reports, patents and GTB are daily updated from NDSL, and the R&D projects information including their participants and output information are updated from the NTIS. The S&T information and the national R&D information are obtained and integrated to the integrated database. Knowledge base is constructed by transforming the relational data into triples referencing R&D ontology. In addition, a topic modeling method is employed to extract the relationships between the S&T documents and topic keyword/s representing the documents. The topic modeling approach enables us to extract the relationships and topic keyword/s based on the semantics, not based on the simple keyword/s. Lastly, we show an experiment on the construction of the integrated knowledge base using the lightweight ontology and topic modeling, and the knowledge map services created based on the knowledge base are also introduced.

• Journal of Technology Innovation
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• v.17 no.2
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• pp.109-130
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• 2009

As recently the interest in the future industry grows high, the demand for forecasting the future shape of science and technology, especially exploring 'weak signals' of changes in science and technology, increases as well. The 'weak signals' means that currently they are uncertain and abnormal signals, but are preliminary signals which might lead future changes. Accordingly they can provide important clues to the future forecast. The study of 'weak signals' has its significance in providing important clues to the projection of the future technology earlier. As it has not a long history from its concept to exploration methods to utilization, more intensive study is required. Exploring 'weak signals' has been conducted mainly through the information analysis by experts with a high level of intelligence and sense. However, such an analysis is difficult and broad in scope, and furthermore the interpretation of analysis results is very limited, relying primarily on the decision of experts themselves. The purpose of this study is to provide a more objectified way to support these expert-based tasks. It derives quantitative results from non-structured article information and provides a logical basis for detecting the signals based on the results.