• Journal of KIISE:Software and Applications
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• v.36 no.4
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• pp.283-290
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• 2009

Context-awareness is one of the key features of ubiquitous paradigm. A methodology that is specifying the relationships between the contexts and services needs to be developed to intelligently and sensitively deal with dynamic environment. The existing models on context-aware modeling are difficult to verify the correctness of models with respect to timeliness. In this paper we propose an approach which includes timing constraint in the relations of the context model, and verify its effectiveness using colored Petri-Net. Moreover, a context-modeling toolkit including context-awareness engine and simulator is developed to support agent-based context-aware service. The effectiveness of the proposed methodology is demonstrated using an example of Usilvercare.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.4
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• pp.10-21
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• 2001

This paper develops a logical simulation method for by dyversity of situations. Most existing systems, for example, games and infant tutoring systems lead users to virtual environment with unfolding situations, but are not designed to induce the change of the environment itself. In this paper, a logically simulated environment is created by defining situations and single events based on situation hierarchy structure. We elaborate the occurrence of events by classifying the causality. The occurrence or natural phenomena is dictated by physical laws and natural phenomena are expressed as the transition of the event based on event association. Specifically we define the source of the event for natural phenomena and we consider the existence of objects as a primary factor in event occurrence. The advantages of this approach include the reuse of events, that is, different events can be generated in the same flow with fresh conditions. This allows us to implement a more practical and logical environment. A drawback to this method is the difficulty in dividing a situation into events. The proposed method was implemented in the context of the change of season among natural phenomena.

• Korean Journal of Ecology and Environment
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• v.38 no.1 s.110
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• pp.54-62
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• 2005

The present study was to determine how seasonal rainfall intensity influences nutrient dynamics, ionic contents, oxygen demands, and suspended solids in a lotic ecosystem. Largest seasonal variabilities in most parameters occurred during the two months of July to August and these were closely associated with large spate of rainfall. Dissolved oxygen (DO) had an inverse function of water temperature (r = = = - 0.986, p<0.001). Minimum pH values of<6.5 were observed in the late August when rainfall peaked in the study site, indicating an ionic dilution of stream water by precipitation. Electrical conductivity (EC) was greater during summer than any other seasons, so the overall conductivity values had direct correlation (r = 0.527, p<0.01) with precipitation. Ionic dilution, however, was evident 4 ${\sim}$ 5 days later in short or 1 ${\sim}$ 2 weeks in long after the intense rain, indicating a time-lag phenomenon of conductivity. Daily COD values varied from 0.8 mg $L^{-1}$ to 7.9 mg $L^{-1}$ and their seasonal pattern was similar (r = 0.548, p<0.001) to that of BOD. Total nitrogen (TN) varied little compared to total phosphorus (TP) and was minimum in the base flow of March. In contrast, major input of TP occurred during the period of summer monsoon and this pattern was similar to suspended solids, implying that TP is closely associated (r = 0.890, p<0.01) with suspended inorganic solids. Mass ratios of TN : TP were determined by TP (r= -0.509, p<0.01) rather than TN (r= -0.209, p<0.01). The N : P ratios indicated that phosphorus was a potential primary limiting nutrient for the stream productivity. Overall data suggest that rainfall intensity was considered as a primary key component regulating water chemistry in the stream and maximum variation in water quality was attributed to the largest runoff spate during the summer monsoon.

• Tuberculosis and Respiratory Diseases
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• v.50 no.3
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• pp.343-352
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• 2001

Background : Advanced chronic obstructive pulmonary disease is characterized by progressive pulmonary hypertension leading to right heart dysfunction, which plays a Important role in clinical evaluation but remains difficult and challenging to quantify. The noninvasive doppler echocardiographic value referred to as the Tei index has been suggested as a simple, reproducible and reliable parameter of the right ventricular function. The purpose of this was to assess the right ventricular function in patients with chronic obstructive pulmonary disease using the Tei index and to evaluate its relationship with the pulmonary functional status. Methods : The study population comprised of 26 patients with chronic obstructive pulmonary disease and 10 normal control subjects. The Tei index was obtained by dividing the sum of the isovolumetric contraction and the relaxation times by the ejection time using a pulsed-wave doppler. It was compared with the other available Doppler echocardiographic parameters of systolic or diastolic function and with the pulmonary function of the patients. Results : The Tei indices of the patients with COPD were significantly higher than those of normal subjects($0.45{\pm}0.17$ vs. $0.27{\pm}0.03$, p<0.01). The isovolumetric contraction time/ejection time($0.32{\pm}0.08$ vs. $0.25{\pm}0.05$, p<0.05), the isovolumetric relaxation time/ejection time($0.29{\pm}0.16$ vs. $0.15{\pm}0.08$, p<0.05)and the preejection period/ejection time ($0.46{\pm}0.10$ vs. $0.38{\pm}0.06$, p<0.05) were prolonged and the ejection time ($255.2{\pm}32.6$ vs. $314.2{\pm}16.5$ msec, p<0.05) was significantly shortened in patients with COPD compared to normal subjects. The tei indices were inversely correlated with the $FEV_1$ (r=-0.46, p<0.05) and were prolonged significantly in patients with a severe obstructive ventilatory dysfunction(less than 35% of predicted $FEV_1$) compared to those with a mild and moderate ventilatory dysfunction. The tei indices showed an inverse correlation to with the ejection time (r=-0.469), the isovolumetric contraction time/ejection time(r=0.453), the isovolumetric relaxation time/ejection time(r=0.896) and the preejection period/ejection time(r=0.480). Conclusion : The tei index appeared to be a useful noninvasive means of evaluating the right ventricular function. It revealed a significant correlation with the pulmonary function in patients with COPD.

• The KIPS Transactions:PartB
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• v.19B no.1
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• pp.31-36
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• 2012

In recent years, there has been increasing interest in recommender systems which provide users with personalized suggestions for products or services. In particular, researches of collaborative filtering analyzing relations between users and items has become more active because of the Netflix Prize competition. This paper presents the reinforcement learning approach for collaborative filtering. By applying reinforcement learning techniques to the movie rating, we discovered the connection between a time sequence of past ratings and current ratings. For this, we first formulated the collaborative filtering problem as a Markov Decision Process. And then we trained the learning model which reflects the connection between the time sequence of past ratings and current ratings using Q-learning. The experimental results indicate that there is a significant effect on current ratings by the time sequence of past ratings.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.223-225
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• 2003

본 논문은 서로 다른 두 구조의 캐쉬와 새로운 뱅크선별기를 이용하여, 보다 효율적인 뱅크관리 메커니즘을 응용한 새로운 개념의 캐쉬 구조에 대한 설명을 한다. 크기가 작음에도 불구하고, 낮은 접근 실패율(Miss ratio)와 높은 저전력 효과는 기존의 일반적인 직접사상 캐쉬와 비교했을 때, 성능면에서 월등한 차이를 나타내고 있다. 이러한 결과의 원인은 직접사상 캐쉬와 완전연관 버퍼의 최적화된 구성과. 효과적인 뱅크선별기를 사용하여 적은 전력에도 높은 성능을 발휘하는 새로운 메커니즘을 사용하였기 때문이다. 제안한 구조의 성능은 다양한 크기의 직접사상 캐쉬와 비교하였으며, 접근 실패율, 평균 메모리 접근 시간, 전력소비, Energy * Delay Product 등 모두 4가지의 지표를 사용하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.189-190
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• 2020

부산의 주요 핵심 산업인 항만물류산업의 경쟁력 강화는 지역경제 활성화의 필수 조건이며, 항만물류산업의 경쟁력을 강화하는데 있어 단순한 항만의 양적인 규모의 경쟁에서 질적 효율성의 문제로 전환되고 있습니다.····(중략)····.선용품 공급산업의 경쟁력 강화방안으로 해운산업, 항만산업, 물류산업, 제조업 등 산업간 정보교류를 효율적으로 활용 할 수 있는 블록체인 기반의 선용품공급업 세관신고 시스템 고도화 방안····(중략)····.블록체인 기술을 도입하여 분쟁해결 발생시 이에 대한 시간과 비용을 절약할 수 있도록 하여 글로벌시장에서의 경쟁력을 확보할 수 있도록 적극적인 도움을 줄 수 있을 것으로 기대된다.

• Annual Conference of KIPS
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• 2019.10a
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• pp.312-315
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• 2019

본 연구는 아두이노 보드와 다중 센서들을 사용하여 학교 급식실 대기 공간에서의 대기 상황을 분석한다. 실험에 사용한 초음파 및 소음 감지 센서들로부터 초음파 및 소음 데이터를 입력 받아 송신하는 아두이노 보드 기반 프로그램을 작성하고, 데이터를 수집, 저장, 관리하기 위하여 CoolTerm 프로그램을 사용한다. 또한, C 언어를 기반으로 정규화 프로그램과 필터링 프로그램을 구현하여 대기 인원 감지라고 인정할 수 있는 조건(일정 소음 이상 발생, 초당 5회 이상 감지 및 3미터 미만 거리에서 감지)에 맞지 않는 데이터를 걸러낸다. 예비 실험 이후 실시한 본 실험 범위는 8월 27일(화)부터 30일(금)까지 4일간, 점심 식사 시간 중 중간 시간대인 12시 20분부터 12시 39분까지이다. 분석 결과 식단 선호도에 따라 대기 시간에 확연한 차이가 발생하는 것을 확인하였으며, 배식 시간 역시 대기 시간에 미치는 영향이 있는 것을 알 수 있었다. 또한 초음파 센서로부터 분석한 결과와 소음 감지 센서로부터 분석한 결과, 상당한 유사성이 관찰되었다. 본 연구는 대기 시간만의 측정에 그치는 것이 아니라, 식단과 대기 시간과의 관계 분석을 통해 학생 식사 행태가 대기 시간에도 영향을 미친다는 추가적인 사실을 증명하였는데, 이는 대기 시간 문제 해결이 단순히 급식 대기 상황 개선에만 있는 것이 아니라 식단 및 배식 방식 등의 개선과 같이 이루어져야 함을 보여준다. 이는 기존 연구들이 확인하지 못했던 사실로, 본 연구의 주요한 기여로 볼 수 있다. 향후 본 연구를 확대하여 무선 인터넷 및 알림 시설을 갖춘다면, 현재의 학교 급식 환경을 획기적으로 개선할 수 있을 것으로 기대한다.

• Korean Journal of Clinical Laboratory Science
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• v.54 no.1
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• pp.28-37
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• 2022

Pregnancy requires an important interpretation of thyroid function tests. The presence of anti-thyroid antibodies and viral infectious agents affect the health of both the fetus and the mother. Hence, a selective evaluation of thyroid function in pregnancy is required. This study is a retrospective cross-sectional survey to examine the correlation between thyroid hormones and viral infections during pregnancy. The results showed that the triiodothyronine (T3) decreased with increasing age, especially in the hepatitis C virus (HCV)-positive group (P<0.01). In addition, although negative for the human immunodeficiency virus (HIV), thyroxine (FT4) showed a significant increase in near-threshold or twin pregnant women (P<0.05). The thyroid stimulating hormone (TSH) was highly distributed at the age of 30, and there was no statistically significant correlation with other viral infection factors. In addition, as a result of dividing and analyzing the result of TSH by the quantiles, FT4 and T3 showed a positive correlation but showed a negative correlation with TSH (P<0.05). Therefore, the evaluation of prenatal thyroid screening during pregnancy and viral infection factors should reflect the time of pregnancy, exposure to infection, and the quantitative values. Adequate thyroid hormone and viral infections availability is important for an uncomplicated pregnancy and optimal fetal development.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.43-56
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• 2020

Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.