• Smart Media Journal
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• v.6 no.4
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• pp.17-23
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• 2017

In recent days, all the business firms use IT-based services in a variety of ways to facilitate their consumer activities. A typical example is location-based services that send advertisements or discount coupons when a customer approaches near the business place. This is not the direct interaction between the business firms and the customer, and it is one of the way of sending the business related contents to the customer's smart-phone regardless of the customer's intention. The Business firms does not know in real time which customers sent promotional contents. Recently most of the business services are in this way. Therefore, a new type of location-based customer service is required for interaction between the business firm and the customer. This is a system that automatically identifies which customer visit a business place when the customer visits the business place delivers them to the computer of the business place in real time, and provides business customized services using the information. In this paper, we have developed a service based platform to identify the customer as well as interact with the customer based on the location based service using Beacon. This system will also provide an open platform environment that can be easily accessible to the various business firms, rather than limited to a specific business firms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.276-278
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• 2022

All drugs have a specific action in the body, and in many cases, drugs are combinated due to complications or new symptoms during existing drug treatment. In this case, unexpected interactions may occur within the body. Therefore, predicting drug-drug interactions is a very important task for safe drug use. In this study, we propose a deep learning-based predictive model that learns using drug information documents to predict drug interactions that may occur when using multiple drugs. The drug information document was created by combining several properties such as the drug's mechanism of action, toxicity, and target using DrugBank data. And drug information document is pair with another drug documents and used as an input to a deep learning-based predictive model, and the model outputs the interaction between the two drugs. This study can be used to predict future interactions between new drug pairs by analyzing the differences in experimental results according to changes in various conditions.

• 프린팅코리아
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• s.39
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• pp.136-139
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• 2005

각 교육기관마다 일관성 없는 학과명의 변경은 배움의 당사자들인 학생들에게 교육의 효과 측면에서 긍정적으로 작용하지 못하고 있음은 물론 해당업체에도 큰 혼란을 가져다주고 있다. 따라서 이 시점에서 짚고 넘어가야 할 문제는 무엇인지 대안은 없는지 생각해 보고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.73-75
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• 2006

생물체 내에서 중요 생물학적 기능을 수행하는 기본 단위인 단백질 및 이들의 상호작용 대한 많은 연구가 이루어져 다양한 생물체에 대한 단백질 상호작용 데이터베이스가 구축되었다. 본 논문에서는 효모에 대해 공개되어있는 단백질 상호작용 데이터를 이용하여 새로운 단백질 상호작용을 예측하는 방법을 제안한다. 논문에서는 문헌에서 연관 정보를 효율적으로 찾아내기 위하여 제안된 연관개념공간 탐색 방법을 확장하여 단백질 상호작용 예측에 사용한다. 단백질들은 각각이 가지는 다양한 속성들의 벡터로 간주되며, 상호작용은 해당 단백질들의 연관성을 통해 이루어지는 것으로 표현된다. 상호작용하는 두 단백질들의 속성은 단어의 공동 출현과 같이 고려되어 단백질 상호작용은 두 단백질 벡터의 요소로 표현되고 벡터의 요소 속성들 간의 연관성을 표현하기 위해 연관속성개념공간으로 사상되어 공간상의 거리 기반으로 연관속성을 추출한다. 추출된 연관속성을 최대로 포함하는 단백질들 간의 상호작용을 예측하는 방식으로 단백질 상호작용을 예측한다. 논문에서 제안한 방법은 효모의 단백질 상호작용 예측에 대해 평균 약 91.8%의 예측 정확도를 보여, 연관속성개념공간을 이용한 방법이 단백질 상호작용을 예측하는 또 다른 대안으로 사용 될 수 있음을 확인하였다.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.721-726
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• 2006

인터넷 게시판을 통한 커뮤니케이션에서는 상호작용의 결과물이 지속적으로 남아 있어, 상호작용의 당사자뿐 아니라 나중에 참여하는 다른 이용자들의 게시판에 대한 지각에도 영향을 미치게 된다. 따라서 인터넷 게시판에서의 이용자들 간의 상호작용은 게시판의 기술적 형식이나 주제뿐 아니라 게시판에 있는 기존 이용자들의 메시지를 읽고 받은 인상에 따라서도 달라질 수 있다. 본 연구에서는 게시판의 익명성과 메시지의 전문성을 독립변인으로 한 $2{\times}2$ 실험설계에 따라 가상적 CMC 상황에서 피험자들이 영화 리뷰 게시판의 글을 읽도록 하였다. 게시판 기존 이용자 집단에 대해 받은 인상의 긍정성, 모호성, 전문성, 피험자 자신과의 지각된 유사성 및 해당 게시판에 대한 참여의사를 측정하였다. 결과, 전문성이 높은 메시지를 읽은 피험자들은 게시판의 기존 이용자들이 보다 전문적이라는 인상을 받았으며, 해당 게시판에 참여하고자 하는 의사를 더 많이 표시했다. 또한 기존 이용자들에 대한 인상의 긍정성과 유사성, 참여의사 사이에는 상관관계가 있었다. 이 결과는 인터넷 게시판 이용이 기술적 요인뿐만 아니라 게시판의 기존 이용자 집단에 대한 인상에 따라서도 달라질 수 있음을 시사한다.

• Journal of Broadcast Engineering
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• v.26 no.6
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• pp.704-713
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• 2021

This paper proposes a method to prioritize the virtual objects to be selected, considering both the user's hand and the geometric relationship with the virtual objects and the user's intention which is recognized in advance. Picking up virtual objects in VR content is an essential and most commonly used interaction. When virtual objects are located close to each other in VR, a situation occurs in which virtual objects that are different from the user's intention are selected. To address this issue, this paper provides different weights for user intentions and distance between user's hand and virtual objects to derive priorities in order to generate interactions appropriately according to the situation. We conducted the experiment in the situation where the number of virtual objects and the distance between virtual objects are diversified. Experiments demonstrate the effectiveness of the proposed method when the density between virtual objects is high and the distance between each other is close, user satisfaction increases to 20.34% by increasing the weight ratio of the situation awareness. We expect the proposed method to contribute to improving interaction skills that can reflect users' intentions.

• Exercise Science
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• v.26 no.3
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• pp.229-237
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• 2017

PURPOSE: This study was to investigate the Glycolysis mediated sarcoplasmic reticulum (SR) $Ca^{2+}$ signal regulates mitochondria $Ca^{2+}$ during skeletal muscle contraction by using glycolysis inhibitor. METHODS: To examine the effect of Glycolysis inhibitor on SR and mitochondria $Ca^{2+}$ content, we used skeletal muscle fiber from gastrocnemius muscle. 2-deoxy glucose and 3-bromo pyruvate used as glycolysis inhibitor, it applied to electrically stimulated muscle contraction experiment. Intracellular $Ca^{2+}$ content, SR, mitochondria $Ca^{2+}$ level and mitochondria membrane potential (MMP) was detected by confocal microscope. Mitochondrial energy metabolism related enzyme, citric acid synthase activity also examined for mitochondrial function during the muscle contraction. RESULTS: Treatment of 2-DG and 3BP decreased the muscle contraction induced SR $Ca^{2+}$ increase however the mitochondria $Ca^{2+}$ level was increased by treatment of inhibitors and showed and overloading as compared with the control group. Glycolysis inhibitor and thapsigargin treatment showed a significant decrease in MPP of skeletal muscle cells compared to the control group. CS activity significantly decreased after pretreatment of glycolysis inhibitor during skeletal muscle contraction. These results suggest that regulation of mitochondrial $Ca^{2+}$ levels by glycolysis is an important factor in mitochondrial energy production during skeletal muscle contraction CONCLUSIONS: These results suggest that mitochondria $Ca^{2+}$ level can be regulated by SR $Ca^{2+}$ level and glycolytic regulation of intraocular $Ca^{2+}$ signal play pivotal role in regulation of mitochondria energy metabolism during the muscle contraction.

• Journal of the Speleological Society of Korea
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• v.34 no.35
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• pp.43-51
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• 1993

Gosu Karst Cave 지역은 우리나라에서도 Karst rocks가 가장 잘 발달된 곳이며 특히 이 지역은 고생대의 조선계 대석회암통에 해당된다. Karst Cave와 여러가지 형태의 생성물은 지질시대부터 생성에 알맞는 고기후학적인 조건과 지구화학적인 여건이 결합하여 풍화작용의 결과로 이루어진 것이다. Cave의 발달 방향은 지층의 주향과 거의 일치하며 지금도 이러한 형성작용은 진행되고 있다. Cave 내부의 기후환경의 영향으로 Cave내에 서식하는 생물은 7목 9종이 확인 및 채집되었다.

• Korean Journal of Optics and Photonics
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• v.8 no.5
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• pp.420-425
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• 1997

An interaction-free measurement system with the polarization-based Mach-Zehnder interferometer structure is described. Properties of the system are investigated especially for nonopaque objects. Here it is shown that the interaction-free measurement of such objects is possible. Our system, whose detection efficiency corresponds to 70% in the sense of interaction-free measurement, was implemented and preliminary experiments were performed to show its feasibility.

• Journal of the Korean Chemical Society
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• v.18 no.5
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• pp.363-367
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• 1974

Approximate rate and stoichiometry of the reaction of ten compounds which contain functional group such as nitrile, nitro, halogen and one of these functional group together with a carbonyl group by the two phase reduction were tested at room temperature. Nitrile, nitro and halogen were all inert under these condition. Therefore selective reduction of carbonyl group in the presence of these group were examined. Thus m-nitrobenzaldehyde, m-nitroacetophenone, p-bromoacetophenone and p-cyanobenzaldehyde were reduced to corresponding alcohols in excellent yields, 95∼100 %.