RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Enzyme-assisted extraction of astaxanthin from Haematococcus pluvialis and its stability and antioxidant activity

        Xiaoyan Zhao,Xiaowei Zhang,Hongkai Liu,Haitao Zhu,Yunping Zhu 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.6

        The release of bioactive pigments could bepotentially improved by enzyme degradation of plant cellwall polysaccharides. In this study, the objective was toevaluate enzyme type (cellulase and pectinase), pH values,hydrolysis temperature and time on the release of astaxanthinfrom Haematococcus pluvialis (H. pluvialis). Theresults showed that pre-treated H. pluvialis with enzymescould improve the separation yield of astaxanthin. Pectinaserelease rate of astaxanthin from H. pluvialis wassignificantly higher than cellulase (p\0.05), and enzymehydrolysis time was also shorter. The stability study ofastaxanthin oleoresin and microcapsule during storage atdifferent temperature, oxygen and illumination was foundthat the degradation rate of astaxanthin rose with increasingtemperature and illumination time, and the retention inoxygen environment decreased. The stability of astaxanthinmicrocapsules was better than astaxanthin oleoresin.

      • A Method for Mapping Sensor Data to SSN Ontology

        Xiaoming Zhang,Yunping Zhao,Wanming Liu 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.9

        Along with the continuous development of the sensor network technology, sensors from all over the world are constantly producing sensor data. However, the sensor data from different source is hard to work together for lack of semantic. Fortunately, SSN ontology provide a way to represent sensor data semantically, but how to transform sensor data into the instance of SSN ontology conveniently is still an issue to be considered. This paper proposed a solution to map sensor data to SSN ontology automatically based on a predefined XML-based document. We design a mapping language SASML (Sensors Annotation and Semantic Mapping Language) which provide a schema to annotate sensors and sources so as to generate a XML document for mapping. Then, an algorithm (namely SDRM) is designed to automatically transform sensor data, which described by SASML, to RDF conforming to SSN ontology, according to the mapping document and the element correspondences between the SASML and SSN ontology. Further, a case study about sensor data from greenhouse is presented to illustrate our method, and a prototype is also developed to demonstrate the feasibility and effectiveness.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼