• Journal of the Korea institute for structural maintenance and inspection
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• v.9 no.1
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• pp.205-215
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• 2005

The main objective of this study is to investigate the behavior of NSC and HSC beams with stirrups. Main variables were the concrete compressive strength and amount of vertical stirrups. A total of 24 beams was tested; 4 beams without web reinforcement and 20 beams with web reinforcement in the form of vertical stirrups. Main variables were 2 different compressive strengths of concrete of 26.9MPa and 63.5MPa, 5 different spacing of stirrups of 200, 150, 120, 100 and 90mm. Therefore, the results were compared with the strengths predicted by the equations of ACI code 318-99 and other researchers. The shear reinforcement ratio, where the test beams were failed simultaneously under flexure and shear, were $0.63{\rho}_{vmax}$ for NSC beams and $0.53{\rho}_{vmax}$ for HSC beams, respectively. The ACI code equation was found to be very conservative for shear design.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1161-1167
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• 2006

본 논문에서는 구조, 행위, 리소스, 환경의 여러 관점을 적용한 다양한 모델들을 이용하는 적응 프레임워크를 제안한다. 또한, 대상 시스템에 대해 앞에서 언급한 4 가지 모델을 위한 모델링 방법론과 각 모델링 요소들에 대한 효과적인 표기법을 제시하였다. 다양한 모델들을 통해 시스템의 구성 요소들 간의 관계 구조와 시스템의 계층적 상태와 행위 정보, 실행 환경을 구성하는 시스템 의존적인 요소 및 독립적인 요소까지의 정보들이 표현된다. 이들 모델간의 유기적인 상호 운용으로 통합적인 추론과 보다 정확한 평가가 가능하다. 이를 통해 시스템은 예상치 못한 변화에 대해 통합된 관점의 더욱 정확한 진단과 반영할 수 있다. 이를 기반으로 다양한 수준에서 적응 동작의 조절을 수행함으로써 하이브리드하고 보다 확장된 적응이 가능해진다. 논문에서 정의한 모델과 제안 프레임워크는 다른 도메인으로 재사용이 가능하다. 제안 시스템은 평가를 위해 프로토타입을 구현하여 원격 화상 회의 시스템에 적용하였으며, 그 기능과 유효성을 확인하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.1
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• pp.83-95
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• 1999

Wavelet transform has localization for time or frequency. It is useful to analyze a nonstationary signal. Basic function on wavelet transform is generated dilating and translating the original wavelet(mother wavelet). In this paper, time-frequency analysis method using linear combination wavelet transform is proposed. And it is applied to diagnostic monitoring system using the proposed linear combination wavelet transform. The stationary and nonstationary signal is used linear chirp signal, fan noise signal, a sinusoid signal from revolution body, electronic signal. Transform applied to signal analysis use fast Fourier transform (FFT), Daubechies, Haar and proposed linear combination method. The result of time-frequency analysis using linear combination wavelet transform is suited for portraying nonstationary time signal as well as stationary signal. Also the diagnostic monitoring system carry out the effective the signal analysis.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.12
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• pp.201-209
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• 2009

In power plant operations, sensor values often exhibit erroneous values due to their failures or the intrusions of various noises. However, most of the power plant monitoring and fault diagnosis systems perform their tasks based on the assumptions that the collected sensor values are correct all the times. These assumptions, which are not valid, often lead to serious consequences such as power plant trips. In this paper, we propose a power plant sensor value validation technique that can utilize the relationships existing among the sensor values as the sensor redundancy. The proposed technique is applied to the flow meters installed along boiler feed water systems of a typical tubular type boiler thermal power plant and shows a good potential of future applications.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4B
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• pp.630-636
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• 2010

Ocular inspection in oriental medicine, which identifies sickness by patient's skin color, is usually applied by doctor's subjective judgment. In order to reduce the subjectiveness of diagnosis, we propose a method of objective and quantitative analysis for ocular inspection. The most issued features for ocular inspection are how to identify the color of patients' face in various situations, and how to link the relation between color and sickness. For resolving these two issues, the color system of CIE Lab is adopted for analyzing and classifying the color characteristics. The classification of color features is verified by experiments on groups of patients and non-patients. The results of experiments showed that the proposed method can provide an objective means for ocular inspection using patient's skin color.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.5
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• pp.194-202
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• 2006

In the present study, stiffness prediction methodologies for flat-plate structures were evaluated in comparison with the experimental results on the full-scale slab-column connections of flat-plate structures. The methodologies are as follows: the methodology proposed by Jacob S. Grossman and the methodology proposed by Choi & Song. The former does not predict the stiffness change of the slab-column connection due to the change in the column section shape and the latter overestimates the stiffness when edge length of the column section in the loading direction is long. In the present study, the equation to calculate the effective width of slabs was modified to reflect the effect of the change in the column section shape.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.471-472
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• 2022

손톱 하부 모세혈관(Nailfold Capillary)의 형태와 분포 특징으로부터 다양한 질병을 밝혀내려는 시도가 꾸준히 있어 왔다. 손톱 하부 모세혈관은 그의 대표적인 형태 특징을 따라 몇 가지로 분류할 수 있고, 이 분포와 질병과의 상관관계가 밝혀진 종래 연구들도 다수 존재한다. 현재는 진단하는 과정을 의료 전문가가 직접 촬영된 모세혈관 사진을 보고 주관적인 평가를 하게 되는데, 이러한 분석 방법은 많은 시간과 휴먼 에러가 발생한다는 문제점이 있다. 이를 자동화하기 위하여 본 논문은 손톱 하부 모세혈관의 모세혈관들을 YOLO 객체 인식 모델을 활용하여 모세혈관을 탐지하고 모세혈관의 종류에 따라 분류하는 방법을 제안하고, 그 유효성을 검증하였다.

• Industry Promotion Research
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• v.2 no.1
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• pp.15-29
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• 2017

The purpose of this study was to examine how the interaction between organizational culture and organizational communication factors on the effectiveness of a set of organizations has an effect on organizational effectiveness. For the empirical analysis of this study, we conducted a questionnaire survey on the subjects who participated in the core job training course of SMEs. To test the hypothesis of this study, we analyzed the moderating effects of organizational communication on the relationship between organizational culture type and organizational effectiveness by statistical analysis, correlation analysis, regression analysis, multiple regression analysis, and control effect analysis through statistical program SPSS 20.0. The results of the empirical analysis show that organizational culture type positively influences organizational commitment and job satisfaction, but organizational culture has a positive effect on organizational culture. It exhibited a positive moderating effect. Therefore, this study reviewed the theoretical validity of existing studies by analyzing the moderating effects of organizational communication in the relationship between organizational culture type and organizational effectiveness. On the other hand, the empirical analysis of the interaction effects of variables can be interpreted as the pursuit of integration between prior researches that were performed individually.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.1
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• pp.26-33
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• 2019

Recently, the rapid growth of the companion animal market has led to the development of animal disease diagnosis kits. Therefore, the utility of the introduction of biomarkers for the development of animal molecular diagnostics is being reevaluated. A good biomarker should be precise and reliable, distinguish between normal and diseased states, and differentiate between different diseases. Recently reported genetic markers, tumor markers (cell free DNA, circulating tumor cells, granzyme, and skin tumors), and others (brucellosis, programmed death recovery-1, symmetric dimethylarginine, periostin, and cysteinyl leukotrien) have been developed. The biomarkers are used for risk prediction or for the screening, diagnosis, and monitoring of disease progression. The most important criteria for related biomarkers are disease specificity. Many potential biomarkers have emerged from laboratory and test studies, but they have not been validated in independent or large-scale clinical studies. Candidate biomarkers evaluate disease associations, verify the effectiveness of biomarkers for early detection and disease progression, and incorporate them into humans and animals. In the future, it will be necessary to reevaluate the utility of well-structured biomarker-based research and study the development of kits that can be used in on-site tests in accordance with the trends introduced in the diagnosis of animal diseases.

• Korean Journal of Construction Engineering and Management
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• v.19 no.4
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• pp.43-51
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• 2018

As the inventory of aged apartments is expected to increase explosively, the importance of maintenance to improve the durability of concrete facilities is increasing. Concrete compressive strength is a representative index of durability of concrete facilities, and is an important item in the precision safety diagnosis for facility maintenance. However, existing methods for measuring the concrete compressive strength and determining the maintenance of concrete facilities have limitations such as facility safety problem, high cost problem, and low reliability problem. In this study, we proposed a model that can predict the concrete compressive strength through images by using deep convolution neural network technique. Learning, validation and testing were conducted by applying the concrete compressive strength dataset constructed through the concrete specimen which is produced in the laboratory environment. As a result, it was found that the concrete compressive strength could be learned by using the images, and the validity of the proposed model was confirmed.