• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.11
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• pp.147-155
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• 2015

For the image processing system to be classified the selected object in the nature, the rotation, scale and transition invariant features is to be necessary. There are many investigations to get the information for the object processing system and the log-polar transform which is to be get the invariant feature for the scale and rotation is used. In this paper, we suggested the 2 points polar coordinate transform methods to measure the selected object position out of the center in input image including the centroid method. In this proposed system, the position results of objects are very good, and we obtained the similarity ratio 99~104% for the object coordinate values.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.1
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• pp.108-113
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• 2007

The classification of fingerprint images is to classify fingerprint images into varies fingerprint types, it is very important in automatic fingerprint recognition. In this paper, a new singular points detection technique was presented. A direction uniform measure is defined to describe the changes of direction fields in a certain neighborhood of fingerprint images. Singular points can be detected by adopting the measure. It should be pointed out that singular points in accurate positions would be obtained in this ways. And an improved Poincare exponential algorithm is presented to identify core points and triangle points. In this paper. making use of 102 experimental fingerprint images datas and attained 7.8% classification errors. This was better than experimental result of abstract [9]. It is possible to use on-line fingerprint images classification.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.290-290
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• 2019

최근 우리나라 수자원 오염의 심각성에 관한 인식이 커지고 있으며, 수질 및 조류 관리의 필요성이 다양한 분야에서 증가하고 있다. 우리나라의 경우 초여름부터 장마 이전과 장마 이후부터 10월까지 호소의 영양 단계가 조류의 성장에 충분한 상태이기 때문에 남조류가 대량으로 증식된다. 하지만 기상 조건에 따라 조류의 발생 시기와 발생 정도는 매년 다르게 나타날 수 있다. 한편, 조류를 포함한 수질 모의 모형은 현재의 상태에 대한 정확한 모사를 통해 수질 관리와 미래의 예측 등 다양한 방면으로 활용된다. 따라서 복잡한 현상을 모형을 통해 재현하는 것은 중요하다. 본 연구에서는 대청호 지역을 대상으로 CE-QUAL-W2 모형을 이용하여 2016년 1월부터 2018년 7월까지 수질 및 조류의 거동을 모의하였다. 금강의 지류 하천인 소옥천에 위치한 옥천천 측정소부터 대청호 내부의 대청댐5 구간을 상류 및 하류 경계로 설정하였고, 수질 및 조류의 모의를 위해 물환경 정보시스템과 실시간 수질 정보시스템의 관측자료 및 대청댐의 운영 자료, 기상청의 기상관측 자료를 수집하였다. 모형의 안정화(warm up) 기간을 고려하여 2015년 1월부터 2018년 7월까지 주요 수질 항목인 수온, 용존산소, 총 인, 총 질소, 클로로필-a에 대한 분석을 수행하였고, 연구대상 지역 내의 대청댐6 지점의 관측값과 모의 결과를 비교 분석하였다. 수온과 용존산소, 클로로필-a의 경우 모의 결과가 관측 값을 비교적 잘 모사하였지만, 총 인과 총 질소의 경우 자동 수질 측정지점의 값과 일반수질 측정 지점의 측정 방법의 차이로 인해 오차가 다소 발생하는 것을 확인할 수 있었다. 본 연구는 CE-QUAL-W2 모형을 이용한 수질 및 조류 모의에 관한 연구로서, CE-QUAL-W2 모형을 이용한 수질 및 조류 관리에 활용될 수 있을 것으로 판단된다.

• Journal of the Korean Society of Propulsion Engineers
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• v.18 no.5
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• pp.62-69
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• 2014

Infrared signature of rocket plume plays an important role for detection, recognition, tracking and minimzing for low observability. Infrared signatures of rocket plume with reduced smoke propellant and smokeless propellant are measured. In order to estimate the infrared signature of rocket plume, CFD analysis for flow structure of plume is performed, and layered integration method for estimating of infrared signature is used. Numerical and experimental results were in good agreement. Both propellants had similar infrared signature. Strong peak at $4.3{\mu}m$ region in the experimental results is appeared due to experimental error arising from the calibration procedure.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.20-26
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• 2021

In this paper, we studied the rotation angle estimation methods required for image alignment in an image recognition environment. In particular, a rotation angle estimation method applicable to a low specification embedded-based environment was proposed and compared with the existing method using complex moment. The proposed method estimates the rotation angle through similarity mathcing of the 1D projection profile along the radial axis after converting an image into polar coordinates. In addition, it is also possible to select a method of using vector sum of the projection profile, which more simplifies the calculation. Through experiments conducted on binary pattern images and gray-scale images, it was shown that the estimation error of the proposed method is not significantly different from that of complex moment-based method and requires less computation and system resources. For future expansion, a study on how to match the rotation center in gray-scale images will be needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.483-491
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• 2019

The aim of this study is to shed light on factors that influence securing of university research grants. For this purpose, this study emphasizes the role of management capability of industry-university cooperation foundation in securing research grants. We analyze whether the potential capabilities influence research grants using panel data from 194 universities during 2016 to 2018. The results obtained from the Driscoll & Kraay standard errors (DKSE) indicate that a number of variables including the portion of industry-university collaboration professors, academic performance of professors, and the number of paid researchers are positively associated with the amount of external research grant approved. However, the percentage of employees employed for less than two years is negatively related with securing external research grants. Once the dependent variable is measured by the total university research grants, the negative coefficient of employees with short-term career disappears. Instead, the percentage of employees who are in charge of research planning and management and the total number of employees involved in industry-university collaboration foundations are negatively related with the total university research grant amounts.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.44-57
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• 2019

As dance performances in the theater space are centered on text, they have plots and make characters stand out. They also emphasize expressivity and technique, and their recognition of space is very modern and typical of dichotomous Cartesian thinking. The museum space has many similarities with the theater space in that it is a result of modernity and granted authority to present arts. The performances in museums place value more on the presence than on the representation. For this reason, works in museums, which are frequently presented in recent years, are mainly works of site-specific or performative concepts. Now, rather than being able to obtain from aesthetics defined as works, the museum is assured its own aesthetic production and justification, paying attention to the performance as an event occurring now and here.

• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.79-86
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• 2021

As the usefulness of big data analysis has been drawing attention, many studies in the business research area begin to use big data to predict firm performance. Previous studies mainly rely on data outside of the firm through news articles and social media platforms. The voices within the firm in the form of employee satisfaction or evaluation of the strength and weakness of the firm can potentially affect firm value. However, there is insufficient evidence that online employee reviews are valid to predict firm value because the data is relatively difficult to obtain. To fill this gap, from 2014 to 2019, we employed 97,216 reviews collected by JobPlanet, an online firm review website in Korea, and developed a machine learning-based predictive model. Among the proposed models, the LSTM-based model showed the highest accuracy at 73.2%, and the MAE showed the lowest error at 0.359. We expect that this study can be a useful case in the field of firm value prediction on domestic companies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.770-776
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• 2021

Positioning systems have been actively researched and developed over the past few years and have been used in many applications. This paper presents a method to determine a location in a large space using a sensor system consisting of an accelerometer and a single-axis gyroscope. In particular, to consider usability, a sensor device was loosely worn on the waist so that the experimental data could be used in practical applications. Based on the experimental results of circular tracks with radiuses of 1m and 3m, in this paper, an algorithm using the threshold of rotation angle was proposed and applied to the experimental results. A tracking experiment was performed on the grid-pattern track model. For raw sensor data, the average deviation between the final tracking point and the target point was approximately 15.2 m, which could be reduced to approximately 4.0 m using an algorithm applying the rotation angle threshold.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.4
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• pp.529-535
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• 2020

It is important to secure the driver's external field view in armored vehicles surrounded by iron armor for preparation for the enemy's firepower. For this purpose, a 360 degree rotatable surveillance camera is mounted on the vehicle. In this case, the key idea is to recognize the head of the driver wearing a helmet so that the external camera rotated in exactly the same direction. In this paper, we introduce a method that uses a MEMS-based AHRS sensor and a illuminance sensor to compensate for the disadvantages of the existing optical method and implements it with low cost. The key idea is to set the direction of the camera by using the difference between the Euler angles detected by two sensors mounted on the camera and the helmet, and to adjust the direction with illuminance sensor from time to time to remove the drift error of sensors. The implemented prototype will show the camera's direction matches exactly in driver's one.