• Tuberculosis and Respiratory Diseases
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• 제69권5호
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• pp.361-367
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• 2010

Background: Difficult-to-treat asthma afflicts a small percentage of the asthma population. However, these patients remain refractory to treat, and account for 40% to 50% of the health costs of asthma treatment, incurring significant morbidity. We conducted a multi-center cross-sectional study to characterize difficult-to-treat asthma in Korea. Methods: Subjects with difficult-to-treat asthma and subjects with controlled asthma were recruited from 5 outpatient clinics of referral hospitals. We reviewed medical records of previous 6 months and obtained patient-reported questionnaires composed of treatment compliance, asthma control, and instruments for stress, anxiety, and depression. Results: We recruited 21 subjects with difficult-to-treat asthma and 110 subjects with controlled asthma into the study. The subjects with difficult-to-treat asthma were associated with longer treatment periods, more increased health care utilization, more medication (oral corticosteroids, number of medication), and more anxiety disorder compared to those of well-controlled asthmatics. There was no difference in age, gender, history of allergy, serum IgE, blood eosinophil count, or body mass index between the 2 groups. Conclusion: Difficult-to-treat asthma is characterized by increased health care utilization and more co-morbidity of anxiety.

• 한국인터넷방송통신학회논문지
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• 제10권5호
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• pp.153-160
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• 2010

집적광학 바이오센서 구조에 적합한 비공진 반사 광도파로(ARROW: Antiresonant Reflecting Optical Waveguides)의 Si(기판)/$SiO_2$(클래딩)/$Si_3N_4$(비공진 클래딩)/$SiO_2$(코어)/air 다층박막 립 광도파로에 대한 최적화를 BPM 전산해석 방법을 이용해서 수행하였다. 전송손실을 최소화하기에 적합한 비 공진 클래딩의 두께를 유도하였으며, 소산파와 깊은 관련이 있는 손실모드에 대해서 이론적으로 검토하였다. 전산해석을 통해서 전송손실을 최소화하기 위한 립 광도파로의 깊이, 폭, 굴절률과 클래딩의 두께를 각각 2.3${\mu}m$, 5${\mu}m$, 1.488, 그리고 0.11${\mu}m$로 계산되었다. 최적화된 제원으로 비공진 반사 광도파로의 2차원, 3차원 전송특성을 확인하였다.

• 전력전자학회논문지
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• 제14권6호
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• pp.472-480
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• 2009

본 논문은 3상 NPC형 3레벨 인버터의 과변조 SVPWM 기법과 변조비에 대한 출력전압의 고조파를 분석하였다. 3상 NPC형 3레벨 인버터는 SVPWM을 적용하여 선형영역을 0.907까지 확장하였고 과변조 영역에서는 푸리에 급수에 의한 추종전압의 보상기법을 적용하여 6 스텝영역까지 운전할 수 있도록 하였다. PWM 형태인 출력전압의 고조파 특성분석에는 PD방식의 멀티 캐리어 기법에 대하여 이중 푸리에 급수를 적용하여 해석하였다. 시뮬레이션은 PSIM을 사용하여 구현하였고 3레벨 인버터의 영역도의 각 영역에 대해서 고조파의 특성을 확인하였다. NPC형 3레벨 인버터의 고조파 분포는 선형영역에서는 캐리어 주파수의 측대 고조파가 분포되고, 과변조 영역으로 넘어가면서 기본파에 의한 고조파 성분이 점차 증가하고 캐리어 주파주의 사이드 밴드의 고조파 성분은 감소함을 확인하였다. 본 논문에서의 고조파 해석을 검증하기 위하여 동일한 조건에서 시뮬레이션과 실험을 수행하였다.

• 정보처리학회논문지D
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• 제11D권4호
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• pp.809-822
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• 2004

본 논문에서는 검색 위주의 공간 데이터베이스 시스템을 위한 R-tree 기반의 동시성 제어 기법을 제안한다. 기존의 제안된 기법들은 검색연산이 갱신연산과 동시에 수행되는 것을 막기 위해 노드에 공유 락이나 래치를 획득함으로써 갱신연산으로 인한 검색연산의 블록킹을 막을 수 없다는 문제를 가지고 있으며, 또한 R-tree같은 다차원 색인의 경우 갱신연산의 락 획득은 여러 노드에 걸쳐 일어날 수 있으며, 노드 분할과 같은 경우 오랜 시간동안 락을 획득하고 있을 수도 있기 때문에 검색연산은 장시간 블록킹이 되어야 하는 문제를 갖는다. 따라서 본 논문에서는 이러한 문제를 해결하기 위하여 노드의 엔트리들을 링크드 리스트로 연결하는 방법을 사용하여 노드에 엔트리를 삽입하고 있는 중에도 락이나 래치를 획득하지 않고 검색연산을 할 수 있는 링크드 리스트 기반의 동시성 제어 기법과, 노드 분할이 진행 중에 있는 노드에도 검색연산이 락이나 래치를 획득하지 않고 노드를 탐색할 수 있는 버전 기반의 동시성 제어 기법을 제안한다.

• 전자공학회논문지
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• 제51권10호
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• pp.3-10
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• 2014

본 논문에서는 인지 기반 중첩 융합 네트워크 환경 하에서의 사용자의 위치정보를 토대로 사용자 단말기의 전력소모감소와 간섭신호의 저감효과를 극대화하기 위한 기본적인 D2D(device-to-device)시스템을 제시하고 무선 전송 환경에서의 시스템 성능을 분석하고자 한다. 단말기의 기능성이 좋아짐에 따라 스마트한 지능을 기반으로 자원의 효과적 활용에 적합한 개별 이종 네트워크의 특성분석과 특성을 반영하는 시스템 측면의 최적화가 중요하다고 할 수 있다. 본 논문에서는 사용자 이동특성에 기반하여 인접 단말기와의 직접 통신하는 절차를 구성하여 단말기 간 직접 통신에 다중안테나 기술을 적용할 경우 이에 따른 FER(frame error rate) 등의 성능특성을 살펴보고자 한다.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.138-140
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• 2002

The spinal cord dose is the one of the limiting factor for the radiation treatment of the head & neck (H&N) or the thorax region. Due to the fact that the cord is the elongated shaped structure, it is not an easy task to maintain the cord dose within the clinically acceptable dose range. To overcome this problem, the spinal cord partial block technique (PBT) with the dynamic Multi-Leaf Collimator (dMLC) has been developed. Three dimension (3D) conformal beam directions, which minimize the coverage of the normal organs such as the lung and the parotid gland, were chosen. The PBT field shape for each field was designed to shield the spinal cord with the dMLC. The transmission factors were determined by the forward calculation method. The plan comparisons between the conventional 3D conformal therapy plan and the PTB plan were performed to evaluate the validity of this technique. The conformity index (CI) and the dose volume histogram (DVH) were used as the plan comparison indices. A series of quality assurance (QA) was performed to guarantee the reliable treatment. The QA consisted of the film dosimetry for the verification of the dose distribution and the point measurements. The PBT plan always generated better results than the conventional 3D conformal plan. The PBT was proved to be useful for the H&N and thorax region.

• 대한기계학회논문집A
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• 제31권1호
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• pp.26-35
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• 2007

The vehicle of urban transit is a complex system that consists of various electric, electronic, and mechanical equipments, and the maintenance cost of this complex and large-scale system generally occupies sixty percent of the LCC (Life Cycle Cost). For reasonable establishing of maintenance strategies, safety security and cost limitation must be considered at the same time. The concept of system reliability has been introduced and optimized as the key of reasonable maintenance strategies. For optimization, three preceding studies were accomplished; standardizing a maintenance classification, constructing RBD (Reliability Block Diagram) of VVVF (Variable Voltage Variable Frequency) urban transit, and developing a web based reliability evaluation system. Historical maintenance data in terms of reliability index can be derived from the web based reliability evaluation system. In this paper, we propose applying inverse problem analysis method and hybrid neuro-genetic algorithm to system reliability optimization for using historical maintenance data in database of web based system. Feed-forward multi-layer neural networks trained by back propagation are used to find out the relationship between several component reliability (input) and system reliability (output) of structural system. The inverse problem can be formulated by using neural network. One of the neural network training algorithms, the back propagation algorithm, can attain stable and quick convergence during training process. Genetic algorithm is used to find the minimum square error.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권5호
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• pp.2122-2140
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• 2020

Proper and precise embedding of commercial ads within Webpages requires Ad-hoc analysis and understanding of their content. By the successful implementation of this step, both publishers and advertisers gain mutual benefits through increasing their revenues on the one hand, and improving user experience on the other. In this research work, we propose a novel multi-level context-based ads serving approach through which ads will be served at generic publisher websites based on their contextual relevance. In the proposed approach, knowledge encoded in domain-specific and generic semantic repositories is exploited in order to analyze and segment Webpages into sets of contextually-relevant segments. Semantically-enhanced indexes are also constructed to index ads based on their textual descriptions provided by advertisers. A modified cosine similarity matching algorithm is employed to embed each ad from the Ads repository into one or more contextually-relevant segments. In order to validate our proposal, we have implemented a prototype of an ad serving system with two datasets that consist of (11429 ads and 93 documents) and (11000 documents and 15 ads), respectively. To demonstrate the effectiveness of the proposed techniques, we experimentally tested the proposed method and compared the produced results against five baseline metrics that can be used in the context of ad serving systems. In addition, we compared the results produced by our system with other state-of-the-art models. Findings demonstrate that the accuracy of conventional ad matching techniques has improved by exploiting the proposed semantically-enhanced context-based ad serving model.

• Smart Structures and Systems
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• 제11권6호
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• pp.589-604
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• 2013

Identification of damage has become an evolving area of research over the last few decades with increasing the need of online health monitoring of the large structures. The visual damage detection can be impractical, expensive and ineffective in case of large structures, e.g., offshore platforms, offshore pipelines, multi-storied buildings and bridges. Damage in a system causes a change in the dynamic properties of the system. The structural damage is typically a local phenomenon, which tends to be captured by higher frequency signals. Most of vibration-based damage detection methods require modal properties that are obtained from measured signals through the system identification techniques. However, the modal properties such as natural frequencies and mode shapes are not such good sensitive indication of structural damage. Identification of damaged jacket type offshore platform members, based on wavelet packet transform is presented in this paper. The jacket platform is excited by simple wave load. Response of actual jacket needs to be measured. Dynamic signals are measured by finite element analysis result. It is assumed that this is actual response of the platform measured in the field. The dynamic signals first decomposed into wavelet packet components. Then eliminating some of the component signals (eliminate approximation component of wavelet packet decomposition), component energies of remained signal (detail components) are calculated and used for damage assessment. This method is called Detail Signal Energy Rate Index (DSERI). The results show that reduced wavelet packet component energies are good candidate indices which are sensitive to structural damage. These component energies can be used for damage assessment including identifying damage occurrence and are applicable for finding damages' location.

• Asian Pacific Journal of Cancer Prevention
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• 제17권3호
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• pp.1453-1461
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• 2016

Regarding 'mate' intake (infusion of Ilex paraguariensis herb, a staple beverage in temperate South American regions), most epidemiologic studies showed positive associations with risk of some cancers, (e.g. upper aerodigestive tract), but evidence on breast cancer (BC) risk is limited to a previous multi-site study, which reported a non significant odds ratio [OR]=0.85, 95% confidence interval [95% CI] 0.67-1.09, p for trend=0.31) for the highest quartile of intake. The present study was conducted in order to further assess associations of 'mate' intake with BC risk. We combined two databases of women belonging to public and private healthcare hospitals. The sample included 572 BC incident cases and 889 controls interviewed with a specific questionnaire featured by socio-demographic, reproductive and lifestyle variables, and a food frequency questionnaire of 64 items, also analyzing 'mate' intake (consumer status, daily intake, age at start, age at quit, duration of habit, intensity of intake). ORs and their 95%CI were calculated through unconditional logistic regression, adjusting for relevant potential confounders. The highest quartile of 'mate' intake was inversely associated with BC risk (OR=0.40, 95%CI 0.26-0.57, p for trend <0.001). Stratified analyses also displayed strong significant inverse associations for 'mate' in frequent tea drinkers (OR=0.22), high energy intake (OR=0.23), high body mass index (OR=0.29) and in postmenopausal women (OR=0.36), among other results. As conclusions, we found evidence of a significant inverse association for 'mate' intake and BC risk.