• 한국산업융합학회 논문집
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• 제9권4호
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• pp.263-268
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• 2006

This paper presents a real-time verification system by extracting a features of multimodal biometrics using hybrid method, which is combined the moment balance and the independent component analysis(ICA). The moment balance is applied to reduce the computation loads by extracting the validity signal due to exclude the needless backgrounds of multimodal biometrics. ICA is also applied to increase the verification performance by removing the overlapping signals due to extract the statistically independent basis of signals. Multimodal biometrics are used both the faces and the fingerprints which are acquired by Web camera and acquisition device, respectively. The proposed system has been applied to the fusion problems of 48 faces and 48 fingerprints(24 persons * 2 scenes) of 320*240 pixels, respectively. The experimental results show that the proposed system has a superior verification performances(speed, rate).

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2004년도 춘계 학술발표회 제16권1호
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• pp.340-343
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• 2004

The cement-based composites have been used for construction industry because of their economy, suitability for architecture and structure function, fire resistance, low fee of repair, easiness for acquisition. but the limited strain capacity of these makes them tension-weak, brittle, and considerable notch-sensitive. As one of solution, FRC(fiber reinforced concrete) have been investigated for regulating weakness of the cement-based composites. In these day different fiber types are proposed for better performance such as HFRC(hybrid fiber reinforced concrete). This study shows experimental results to search the ultimate strength, the ultimate mean strain, and the tension toughness of HFRC. The tension toughness is proportional to the amount of steel fiber and carbon fiber. In this experimental program we kept the total of steel fiber and carbon fiber as $1.0\%,\;1.5\%$, respectively.

• Journal of Computing Science and Engineering
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• 제10권1호
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• pp.1-8
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• 2016

The fuzzy c-means (FCM) is a frequently utilized algorithm at present. Yet, the clustering quality and convergence rate of FCM are determined by the initial cluster centers, and so an improved FCM algorithm based on canopy cluster concept to quickly analyze the dataset has been proposed. Taking advantage of the canopy algorithm for its rapid acquisition of cluster centers, this algorithm regards the cluster results of canopy as the input. In this way, the convergence rate of the FCM algorithm is accelerated. Meanwhile, the MapReduce scheme of the proposed FCM algorithm is designed in a cloud environment. Experimental results demonstrate the hybrid canopy-FCM clustering algorithm processed by MapReduce be endowed with better clustering quality and higher operation speed.

• 한국통신학회:학술대회논문집
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• 한국통신학회 2004년도 추계종합학술대회 논문 초록집
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• pp.80-80
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• 2004

• 한국직업건강간호학회지
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• 제29권4호
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• pp.354-362
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• 2020

Purpose: This study aimed to define and clarify learning transfer in nursing. Methods: This study used a hybrid model to analyze the concept of learning transfer in nursing through three phases. For the theoretical phase, learning transfer attributes were identified through a scoping literature review. In the fieldwork phase, in-depth focus group interviews were conducted to develop attributes. Purposive sampling was performed with ten participants(five nursing students, two nurses, three nursing faculty members). In the analysis phase, the attributes and final analysis of learning transfer in nursing were extracted and integrated from the previous two phases. Results: According to the analysis, learning transfer was represented in two dimensions with eight attributes. The development of competency dimension had three attributes: 1) theory acquisition, nursing skills, professional attitude, 2) integration, and 3) analysis competency. The competency change dimension had five attributes: 1) appropriateness in patient care, 2) proficiency in patient care, 3) satisfaction, 4) achievement, and 5) confidence. Conclusion: The concept analysis might provide a basic understanding of learning transfer, a development framework toward a measurement of nursing learning transfer and effective educational nursing strategies.

• 지능정보연구
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• 제4권1호
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• pp.115-131
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• 1998

Customer service process is one of the most important processes in today's competitive business environment. Among the various activities of customer service process, equipment malfunction diagnosis activity should be performed fast and accurately. When a customer calls the service center and reports the observed symptoms, he/she describes them in layman's terms. Therefore, the customer-reported symptoms have not been considered helpful information for service representatives. However, in order to perform diagnosis activity fast and accurately, we need to make use of the customer-reported symptoms actively. In this research, we developed three systems called R-EMD (Rule-based Equipment Malfunction Diagnostic system), C-EMD (Case-based Equipment Malfunction Diagnostic system) and R&C-EMD (Rule & Case-based Equipment Malfunction Diagnostic system), each of which diagnoses equipment malfunctions using the customer-reported symptoms. R&C-EMD is a hybrid system that utilizes both rule-based and case-based technologies. The diagnosis rules used in R&C-EMD and R-EMD were not acquired from service manuals or interviews with service representatives. Rater, we extracted them directly from the past diagnosis cases based on symptoms' frequencies. By this way, we were able to overcome the knowledge acquisition bottleneck. Using the real 100 malfunction diagnosis cases, we evaluated the performances of R&C-EMC, R-EMD and C-EMD in terms of speed and accuracy. In diagnosis time, R&C-EMD took longer than R-EMD and shorter than C-EMD. However, R&C-EMC was the best in accuracy.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2010년도 제34회 춘계학술대회논문집
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• pp.206-209
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• 2010

하이브리드 로켓에서의 고체 연료의 연소 현상을 가시화하기 위하여 장치를 제작하였다. 가시화 장치는 평판 하이브리드 연소기 시스템, 점화 시스템, 산화제 공급 시스템, 데이터 획득 및 제어 시스템, 연소 가시화 측정 장비로 구성되었다. GOX 산화제와 HDPE, Paraffin-LDPE Blending, Paraffin 연료를 이용하여 연소 가시화 시험을 수행하였고, 수치적으로만 연구되어 왔던 연소실 내의 연소 현상을 가시화 할 수 있었으며, 화염의 형성 및 용융성 연료의 액적 비산 현상을 관찰 할 수 있었다.

• Investigative Magnetic Resonance Imaging
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• 제25권3호
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• pp.141-155
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• 2021

Purpose: To develop a 3D magnetic resonance fingerprinting (MRF) method for application in high resolution knee cartilage PD, T₁, T₂ mapping. Materials and Methods: A novel 3D acquisition trajectory with golden-angle rotating radial in k_xy direction and interleaved echo planar imaging (EPI) acquisition in the k_z direction was implemented in the MRF framework. A centric order was applied to the interleaved EPI acquisition to reduce Nyquist ghosting artifact due to field inhomogeneity. For the reconstruction, singular value decomposition (SVD) compression method was used to accelerate reconstruction time and conjugate gradient sensitivity-encoding (CG-SENSE) was performed to overcome low SNR of the high resolution data. Phantom experiments were performed to verify the proposed method. In vivo experiments were performed on 6 healthy volunteers and 2 early osteoarthritis (OA) patients. Results: In the phantom experiments, the T₁ and T₂ values of the proposed method were in good agreement with the spin-echo references. The results from the in vivo scans showed high quality proton density (PD), T₁, T₂ map with EPI echo train length (N_ETL = 4), acceleration factor in through plane (R_z = 5), and number of radial spokes (N_spk = 4). In patients, high T₂ values (50-60 ms) were seen in all transverse, sagittal, and coronal views and the damaged cartilage regions were in agreement with the hyper-intensity regions shown on conventional turbo spin-echo (TSE) images. Conclusion: The proposed 3D MRF method can acquire high resolution (0.5 mm³) quantitative maps in practical scan time (~ 7 min and 10 sec) with full coverage of the knee (FOV: 160 × 160 × 120 mm³).

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2010년도 제35회 추계학술대회논문집
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• pp.820-824
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• 2010

본 연구는 소형 하이브리드 로켓의 제작 및 발사를 통해 하이브리드 발사체의 기초 발사기술을 확보하는 것이다. 연료로는 HDPE, 산화제는 $LN_2O$를 적용하였으며, 알루미늄 외형재질의 설계 총 무게 12.5 kg, 외경 114 mm, 전장 1.8 m의 소형 하이브리드 로켓을 설계하였다. 로켓의 목표고도는 500 m로 설정하였고, 목표 추력 50 kgf와 연소시간 2.5 초의 연료 그레인 및 인젝터를 설계 및 제작하였다. 발사 후 실시간 압력 및 속도 등의 데이터를 수집하기 위한 데이터 획득장치와 로켓의 안정적인 회수를 위한 스프링-모터를 이용한 사출장치를 제작 탑재하였다. 로켓의 발사는 성공적으로 수행되었으나, 로켓 중량의 증가 및 추력의 부족으로 설계 최고 고도에는 로켓이 미치지 못했고, 로켓의 비행 궤도를 분석하였다.

• 조명전기설비학회논문지
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• 제20권4호
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• pp.43-48
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• 2006

풍력 발전 시스템과 태양광 발전 시스템을 상호 보완함으로써 안정적인 전력 공급과 에너지 이용 효율의 향상을 꾀할 수 있는 풍력-태양광 복합발전 시스템에 대한 관심이 고조되고 있다. 본 연구에서는 이러한 복합 발전 시스템을 효율적이고 안정적으로 운용하기 위하여 시스템의 각종 데이터들을 수집, 분석하고 파일로 저장하며 이를 인터넷을 이용하여 원격지에서도 모니터링 할 수 있는 시스템을 구축한다. 교류와 직류의 각종 전압, 전류들을 비롯한 풍속, 조도, 온도 등의 물리량을 측정하기 위하여 여러 형태의 변환기를 사용하였고 신호 조절 회로를 구성하였다. 데이터 수집 보드를 이용하여 컴퓨터로 데이터들을 저어 들였으며, 시스템 운용을 위한 서버 프로그램과 이를 원격지에서 실시간 모니터링 및 저장된 데이터들을 다운로드 할 수 있는 클라이언트 프로그램을 개발하였다. 측정된 데이터를 시간, 기상 등의 여러 조건과 연관하여 분석하였다.