• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.12
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• pp.1924-1929
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• 2013

Hizikia fusiforme (seaweed fusiforme) has long been used as a food source mainly in Korea and Japan. This study was performed to evaluate the immunomodulative effects of Hizikia fusiforme in mice. Hizikia fusiforme water extracts (0, 50, and 500 mg/kg b.w.) were orally administrated into the mice every other day, for four weeks. The proliferation of splenocytes, as well as the levels of proinflammatory cytokines (IL-$1{\beta}$, IL-6, and TNF-${\alpha}$) secreted by activated macrophages were measured. Splenocyte proliferation was enhanced in the experimental groups compared to that of the control group. Also, the mice with Hizikia fusiforme water extracts supplementation in both concentrations showed increased levels of cytokine production by activated peritoneal macrophages compared to those in the control group. The highest levels of cytokine (IL-$1{\beta}$, IL-6, TNF-${\alpha}$) production were observed in the 50 mg/kg b.w. supplementation group stimulated by LPS for all three cytokines. The results of this study showed that the supplementation of Hizikia fusiforme water extracts may enhance the immune function by regulating the splenocytes proliferation and the cytokine production by activated macrophages. Further studies are needed to identify the stimulative and immunomodulating components of Hizikia fusiforme.

• Proceedings of the Korean Journal of Food and Nutrition Conference
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• 1997.06b
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• pp.13-14
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• 1997

영지의 약리효과는 triterpenoid계의 저분자와 polysaccharide인 고분자로 대별할 수 있다. 저분자 물질은 항염증작용, 항알러지작용, 간암세포 성장 억제작용, 혈압 강하작용, 혈소판 응집저해작용 등이 있으며, 고분자 물질은 혈압강하작용, 정혈작용, 고지혈증 개선작용, 혈당 강하작용, 면역 증강작용 및 항종양작용 등이 있는 것으로 알려졌다. 현재까지의 영지에 관한 연구는 주로 자실체에 대한 연구가 주류를 이루고 있으며 이들의 산지, 환경조건, 채집시기 및 실험자들에 따라 약리 효과 등에 많은 차이가 있다. 이들에 대한 효과가 영지의 대표적 약리효과라고 언급하기엔 부족한 점이 많으므로 약리효과가 우수하고 일관성이 있는 영지 유래 다당류를 얻기 위한 방법으로서는 균사체의 대량배양법 및 분리방법이 확립 되어야만 한다. 본 연구에서는 새로운 항암활성 다당류의 개발을 위해 국내 자생 영지를 채집하여 검색 및 계통적 분류를 행하였으며 분리된 균주의 최적 액체배양 조건, 다당류 분리 조건, 다당류의 물리화학적 특성 및 약리활성 등에 관한 연구를 실시하였다. 그 중 약리활성이 우수한 G- lucidum IY009 균주를 선발 하였다. 구조적 특징과 종양 면역 활성과의 관계 규명을 위해, G- lucidum IY009 배양균사체로부터 다당류를 T-AS, U-AS, M-AS, S 및 H로 분획 하였다. 추출조건에 따른 다당류 GLG의 수율은 열수 추출 분획이 2.98g/l로 가장 높았으며, U-AS및 T-AS에서 각각 2.32g/l, 2.07g/l이었다. GLG의 특성을 조사하기 위하여 수용성과 비수용성으로 분리한 결과 수용성 분획은 비수용성 분획보다 높은 당 함량을 나타냈으며, T-AS는 70.3%의 당과 7.8%의 단백질로 구성 되었다. GLG 대부분의 분획들은 60~93%의 glucose로 구성된 다당류 이었으며, 주로 $\beta$-glucose로 구성된 다당류 이었다. 아미노산은 Asp 및 Glu의 산성 아미노산과 Ala, Leu 등의 함량이 높게 나타났으며, 비알칼리 추출물에서 Ser과 Thr의 함량이 높게 나타났다. 다당류 T-AS는 평균 분자량이 2,000 kD와 12kD에서 주 peak를 나타냈으며, 수용성 분획의 평균 분자량은 12kD이고 비수용성 분획은 36~2,000 kD의 평균 분자량 분포를 갖는 것으로 나타났다. IR과 NMR 분석 결과 890 cm-1에서 흡수 peak를 나타내어 $\beta$-(1,3)0glucan과 $\beta$-(1,6)-glucan의 구조를 갖는 다당류로 확인 되었다. T-AS 분획은 C:H:O:N의 함량비가 38.9:5.7:49.6:1.84%이며, 이 물질의 융점은 163 $^{\circ}C$로 연한 갈색을 나타낸다. 분리된 GLG의 항암활성 기전 규명을 위해, in vivo 항암실험, 항보체 활성능, 항체 생성능, serum protein 분비능, 대식세포의 탐식능과 활성능 및 세포간 물질 분비 등의 상관관계를 조사하였다. 다당류 GLG 분획물들 가운데 항보체의 활성이 높았던 분획은 sarcome 180에 대한 항암 활성이 높게 나타났다. 다당류 T-AS의 보체 활성화 기작은 classical과 alternative complement pathway의 양 경로를 통해 활성화 되었다. T-AS 분획은 mouse내의 특정 혈청단백을 증가시켰으며, 항체 생성능의 증가가 관찰되어 effect T 세포의 활성화가 나타나고 있음을 알 수 있었다. T-AS는 생체내 투여시에 대식세포의 탐식능이 증진되었으며, 대식세포 기능 저해제에 의한 대식세포의 기능 저해 현상이 회복되었다. 이와 같은 결과들로부터, T-AS의 항암 활성은 활성화된 보체 성분 및 당 수용체들이 존재하는 대식세포의 개입을 시사한다.

• Journal of Internet Computing and Services
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• v.12 no.1
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• pp.99-110
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• 2011

Mobile environments rapidly changing and digital convergence widely employed, mobile devices including smart phones have been playing a critical role that changes users' lifestyle in the areas of entertainments, businesses and information services. The various services using mobile devices are developing to meet the personal needs of users in the mobile environments. Especially, an LBS (Location-Based Service) is combined with other services and contents such as augmented reality, mobile SNS (Social Network Service), games, and searching, which can provide convenient and useful services to mobile users. In this paper, we design and implement the prototype of mobile personal assistant (PA) agents. Our personal assistant agent helps users do some tasks by hiding the complexity of difficult tasks, performing tasks on behalf of the users, and reflecting the preferences of users. To identify user's preferences and provide personalized services, clustering and classification algorithms of data mining are applied. The clusters of the log data using clustering algorithms are made by measuring the dissimilarity between two objects based on usage patterns. The classification algorithms produce user profiles within each cluster, which make it possible for PA agents to provide users with personalized services and contents. In the experiment, we measured the classification accuracy of user model clustered using clustering algorithms. It turned out that the classification accuracy using our method was increased by 17.42%, compared with that using other clustering algorithms.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.83-98
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• 2015

Many TV viewers use mainly portal sites in order to retrieve information related to broadcast while watching TV. However retrieving information that people wanted needs a lot of time to retrieve the information because current internet presents too much information which is not required. Consequentially, this process can't satisfy users who want to consume information immediately. Interactive video is being actively investigated to solve this problem. An interactive video provides clickable objects, areas or hotspots to interact with users. When users click object on the interactive video, they can see additional information, related to video, instantly. The following shows the three basic procedures to make an interactive video using interactive video authoring tool: (1) Create an augmented object; (2) Set an object's area and time to be displayed on the video; (3) Set an interactive action which is related to pages or hyperlink; However users who use existing authoring tools such as Popcorn Maker and Zentrick spend a lot of time in step (2). If users use wireWAX then they can save sufficient time to set object's location and time to be displayed because wireWAX uses vision based annotation method. But they need to wait for time to detect and track object. Therefore, it is required to reduce the process time in step (2) using benefits of manual annotation method and vision-based annotation method effectively. This paper proposes a novel annotation method allows annotator to easily annotate based on face area. For proposing new annotation method, this paper presents two steps: pre-processing step and annotation step. The pre-processing is necessary because system detects shots for users who want to find contents of video easily. Pre-processing step is as follow: 1) Extract shots using color histogram based shot boundary detection method from frames of video; 2) Make shot clusters using similarities of shots and aligns as shot sequences; and 3) Detect and track faces from all shots of shot sequence metadata and save into the shot sequence metadata with each shot. After pre-processing, user can annotates object as follow: 1) Annotator selects a shot sequence, and then selects keyframe of shot in the shot sequence; 2) Annotator annotates objects on the relative position of the actor's face on the selected keyframe. Then same objects will be annotated automatically until the end of shot sequence which has detected face area; and 3) User assigns additional information to the annotated object. In addition, this paper designs the feedback model in order to compensate the defects which are wrong aligned shots, wrong detected faces problem and inaccurate location problem might occur after object annotation. Furthermore, users can use interpolation method to interpolate position of objects which is deleted by feedback. After feedback user can save annotated object data to the interactive object metadata. Finally, this paper shows interactive video authoring system implemented for verifying performance of proposed annotation method which uses presented models. In the experiment presents analysis of object annotation time, and user evaluation. First, result of object annotation average time shows our proposed tool is 2 times faster than existing authoring tools for object annotation. Sometimes, annotation time of proposed tool took longer than existing authoring tools, because wrong shots are detected in the pre-processing. The usefulness and convenience of the system were measured through the user evaluation which was aimed at users who have experienced in interactive video authoring system. Recruited 19 experts evaluates of 11 questions which is out of CSUQ(Computer System Usability Questionnaire). CSUQ is designed by IBM for evaluating system. Through the user evaluation, showed that proposed tool is useful for authoring interactive video than about 10% of the other interactive video authoring systems.