• Proceedings of the KSME Conference
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• 2007.05a
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• pp.885-890
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• 2007

Fast Fourier Transformation(FFT) is one of the most useful way to analyze response signal for the purpose of grasping the dynamic characteristics of system. Vibration test using impact hammer is typical and simple experimental method widely used for catching hold of dynamic peculiar characters and modal behaviors of system. In this thesis, impact testing module for NI-PXI equipment is developed. The analyzing and visualizing module are developed with LabVIEW tool. A user can see quickly and easily modal shape of system after analyzing acquired data. This developed module will be expected to build up more convenient and serviceable measurement system.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.1
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• pp.59-63
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• 2015

A design guideline about legible and preferred Korean character sizes is necessary to provide better visual information in a group-view display. The present study examined the legible and preferred Korean character sizes by an experiment employing eight background-font colors and four representative font types (Gulim, Ming, Gothic, and Batang). Forty subjects (male : 20 and female : 20) in their 20s were recruited for the experiment. The legible and preferred sizes were determined based on the method of limits, one of psychological approaches. The results showed that the legible and preferred sizes increased as the contrast between background and font colors decreased. In addition, the legible and preferred sizes for Gulim were significantly smaller than those of the other font types. It is expected that the present study may contribute to providing better visual information in a group view display.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.888-896
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• 2018

In this paper, we report detection and recognition of vehicle logo from images captured from street CCTV. Image data includes both the front and rear view of the vehicles. The proposed method is a two-step process which combines image preprocessing and faster region-based convolutional neural network (R-CNN) for logo recognition. Without preprocessing, faster R-CNN accuracy is high only if the image quality is good. The proposed system is focusing on street CCTV camera where image quality is different from a front facing camera. Using perspective transformation the top view images are transformed into front view images. In this system, the detection and accuracy are much higher as compared to the existing algorithm. As a result of the experiment, on day data the detection and recognition rate is improved by 2% and night data, detection rate improved by 14%.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.235-238
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• 2019

In real world object detection is an active research topic for understanding different objects from images. There are different models presented in past and had significant results. In this paper we are presenting vehicle logo detection using previous object detection models such as You only look once (YOLO) and Faster Region-based CNN (F-RCNN). Both the front and rear view of the vehicles were used for training and testing the proposed method. Along with deep learning an image pre-processing algorithm called perspective transformation is proposed for all the test images. Using perspective transformation, the top view images were transformed into front view images. This algorithm has higher detection rate as compared to raw images. Furthermore, YOLO model has better result as compare to F-RCNN model.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.03a
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• pp.571-576
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• 2010

In this study, an application method of critical strains concept for tunnels' safety by using the values of measured displacements which are obtained in the field is discussed. The aim is to: (1) study on the engineering meanings of critical strains concept by reviewing the previous researches and application examples with measured displacement values; (2) study on the engineering reasonability of critical strains concept with the view point of a tunnel engineering and a geotechnical engineering; (3) study on the features of ground deformation due to tunneling and reciprocal relation between total displacement and measured displacement; (4) evaluate a tunnel safety by using domestic measurements collected in the field; and (5) re-evaluate the control criteria which were previously used in the field, with the view point of critical strains concept. Consequently, it was confirmed that critical strains in the ground has a reasonability and a possibility of unified or common concept with the view point of a tunnel engineering.

• Journal of the Korean housing association
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• v.11 no.4
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• pp.77-84
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• 2000

The purpose of this paper is to find a visible project area for an average six year old Korean child in radiant enclosures having standing pose. The results using this method will be necessary to find effective radiation area, effective radiation area factor, form factor, and mean radiant temperature for an average six years old Korean child consists of 3012 triangles. The methods to find visible project area of an average six years old Korean at arbitrary view point will be presented. The visible project area for Korean child is needed for evaluating thermal comfort for six years old Korean child. The biggest visible project area of an average six years old Korean is $\textrm{cm}^2$$2.061.0\textrm{cm}^2$ at the view point of alfa 0.0 degree and beta 0.0 degree, and the smallest visible real area of an average six years old Korean is $567.1\textrm{cm}^2$ at the view point of alfa 15.0 degree and beta 90.0 degree.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.855-856
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• 2008

In this paper, we studied the performance evaluation of a vehicular rear-view camera through quantifying the image quality based on several objective criteria from the ISO (International Organization for Standardization). In addition, various experimental environments are defined considering the conditions under which a rear-view camera may need to operate. The process for evaluating the performance of a rear-view camera is composed of five objective criteria: noise test, resolution test, OECF (opto-electronic conversion function) test, color characterization test, and pincushion and barrel distortion tests. The proposed image quality quantification method then expresses the results of each test as a single value, allowing easy evaluation.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.187-190
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• 2003

In this paper, we propose an extrinsic calibration method for a multi-view camera to get an optimal pose in 3D space. Conventional calibration algorithms do not guarantee the calibration accuracy at a mid/long distance because pixel errors increase as the distance between camera and pattern goes far. To compensate for the calibration errors, firstly, we apply the Tsai's algorithm to each lens so that we obtain initial extrinsic parameters Then, we estimate extrinsic parameters by using distance vectors obtained from structural cues of a multi-view camera. After we get the estimated extrinsic parameters of each lens, we carry out a non-linear optimization using the relationship between camera coordinate and world coordinate iteratively. The optimal camera parameters can be used in generating 3D panoramic virtual environment and supporting AR applications.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.10
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• pp.1882-1888
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• 2010

It is widely known that ESA(Electric Signature Analysis) method is very useful one for fault diagnosis of an induction motor. Online fault diagnosis system of induction motors using LabVIEW is proposed to detect the fault of broken rotor bars and shorted turns in stator. This system is not model-based system of induction motor but LabVIEW-based fault diagnosis system using FFT spectrum of stator current in faulty motor without estimating of motor parameters. FFT of stator current in faulty induction motor is measured and compared with various reference fault data in data base to diagnose the fault. This paper is focused on to predict and diagnose of the health state of induction motors in steady state. Also, it can be given to motor operator and maintenance team in order to enhance an availability and maintainability of induction motors. Experimental results are demonstrated that the proposed system is very useful to diagnose the fault and to implement the predictive maintenance of induction motors.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1575-1576
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• 2015

전기철도와 같이 순간적으로 대용량의 전류를 끌어 쓰는 부하들은 주변 전력설비에 큰 부담을 주게 된다. 그로 인해 설비의 노후화가 앞당겨지므로 지속적인 모니터링을 통해 설비의 상태를 진단할 필요가 있다. 그러나 현재 상용화된 전력품질 해석용 장비들의 기능은 이러한 요구를 충족시키지 못하기 때문에 본 논문에서는 적응제어기법을 활용한 이벤트 감지 기법을 소개하고 이를 LabVIEW로 구현하여 철도 전력설비의 이벤트 분석 기법을 제시한다.