• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.14-17
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• 2007

To make use of surveying data obtained from different sensors and different techniques in a common reference frame, it is a pre-requite step to register them in a common coordinate system. For this purpose, we have developed a methodology to register IKONOS-2 Satellite Imagery using ALS data. To achieve this, conjugate features from these data should be extracted in advance. In the study, linear features are chosen as conjugate features because they can be accurately extracted from man-made structures in urban area, and more easily than point features from ALS data. Then, observation equations are established from similarity measurements of the extracted features. During the process, considering the characteristics of systematic errors in IKONOS-2 satellite imagery, the transformation function were selected and used. In addition, we also analyzed how the number of linear features and their spatial distribution used as control features affect the accuracy of registration. Finally, the results were evaluated statistically and the results clearly demonstrated that the proposed algorithms are appropriate to register these data.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.235-241
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• 2006

The demand of 3D terrain mapping techniques is increasing in many application fields such as CNS(Car Navigation System), web service system, DMB(Digital Multimedia Broadcasting) systems and etc To construct a 3D terrain map, it is a pre-requite step that register data collected from different surveying sources. This Paper Present the methodology to register airborne photo, LIDAR data, and digital map, which are major data sources to create a 3D terrain mao. For this purpose, we developed the generally applicable algorithm that uses linear features to register airborne photos and digital maps to LIDAR data. The algorithm explicitly formulates step-by-step methodologies to establish observation equations for transformation. The results clearly demonstrate the proposed algorithm is appropriate to register these data sources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.503-523
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• 2022

Nowadays, many attendance applications utilise biometric techniques such as the face, fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to the advancement of deep learning algorithms, the accuracy rate of biometric techniques has been improved tremendously. This paper proposes a web-based attendance system that adopts facial recognition using open-source deep learning pre-trained models. Face recognition procedural steps using web technology and database were explained. The methodology used the required pre-trained weight files embedded in the procedure of face recognition. The face recognition method includes two important processes: registration of face datasets and face matching. The extracted feature vectors were implemented and stored in an online database to create a more dynamic face recognition process. Finally, user testing was conducted, whereby users were asked to perform a series of biometric verification. The testing consists of facial scans from the front, right (30 - 45 degrees) and left (30 - 45 degrees). Reported face recognition results showed an accuracy of 92% with a precision of 100% and recall of 90%.

• Journal of The Korean Society of Clinical Toxicology
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• v.13 no.1
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• pp.25-32
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• 2015

Purpose: The aim of this study was to investigate the independent factors associated with the registration rate for the community-based post suicidal care program in the emergency department (ED). Methods: This prospective observational study was conducted between March and December 2013 at the academic ED at the tertiary urban hospital. During the study period, the pre-designed registry was recorded. The variables examined included the following: patients' demographic data (Sex, age, address, type of insurance, marital status, level of education, and history of previous psychiatric disease), suicide-related data (suicidal methods, combined drink of alcohol and number of previous attempts), and management-related data (disposition at ED, physician's training level, etc.). Univariated and multivariated logistic regression analyses were performed for identification of factors affecting the registration rate for the community-based post suicidal care program. Results: A total of 163 suicides were included during the study period. Of these, 33 (20.2%) patients were registered in the post-suicide care program. Factors including a patient's address (OR: 14.92, 95% CI: 3.606-61.711), immediate intervention by psychiatric healthcare center (OR: 5.05, CI: 1.688-15.134), admissions in hospital (OR: 3.69, CI: 1.286-10.605), and history of previous psychiatric disease (OR: 3.52, CI: 1.216-10.201) showed significant association with registration for the program. Conclusion: The community-based post-suicidal care program, which is available 24 hours a day, should be operated in each district in order to increase the registration rate. Emergency physicians should actively consider the inpatient treatment program for suicidal patients and strongly recommend registration to the program, particularly for patients without previous history of psychiatric disease.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.8
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• pp.597-602
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• 2016

In image guided surgery, a patient registration process is a critical process for the successful operation, which is required to use pre-operative images such as CT and MRI during operation. Though several patient registration methods have been studied, we concentrate on one method that utilizes 3D surface measurement data in this paper. First, a hand-held 3D surface measurement device measures the surface of the patient, and secondly this data is matched with CT or MRI data using optimization algorithms. However, generally used ICP algorithm is very slow without a proper initial location and also suffers from local minimum problem. Usually, this problem is solved by manually providing the proper initial location before performing ICP. But, it has a disadvantage that an experience user has to perform the method and also takes a long time. In this paper, we propose a method that can accurately find the proper initial location automatically. The proposed method finds the proper initial location for ICP by converting 3D data to 2D curvature images and performing image matching. Curvature features are robust to the rotation, translation, and even some deformation. Also, the proposed method is faster than traditional methods because it performs 2D image matching instead of 3D point cloud matching.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10c
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• pp.832-834
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• 2001

이동 컴퓨팅 환경이란 사용자가 어떤 장소로 이동하더라도 동일한 환경에서 네트워크 서비스를 끊임없이 제공받을 수 있는 환경을 말하며, Mobile-IP는 이러한 환경이 가지는 특성들을 고려한 네트워크 프로토콜이다. 그러나 이 프로토콜도 이동 노드의 빈번한 핸드오프시 위치 등록과정에서 반드시 홈 에이전트를 거쳐야 하므로, 네트워크 자원과 서비스 지연을 초래하는 단점을 가진다. 본 논문의 제안 기법은 Mobile-IP 환경에 이동 예측기법을 이용하여, 이동 노드의 움직임을 추적하여 이동 방향을 예측하고 이동노드가 핸드오프를 수행하기 전에 사전 등록(pre-registration) 과정을 두어 문제점이었던 등록과정의 지연과 패킷의 손실의 지연을 줄이고자 한다.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.49-52
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• 2006

최근 대규모 지역 혹은 전 지구에 걸친 분석 및 모니터링을 위한 위성영상의 사용이 늘어나면서 이를 처리하기 위한 효율적인 '영상좌표 상호등록'법이 요구되고 있다. 이에 본 연구에서는 일반적으로 오랜 시간이 소요되는 '영상좌표 상호등록'의 효율성을 높이기 위해 '사전검수영역기반정합법'(Pre-qualified area based matching)을 사용하였다. 이를 통해 '영상좌표 상호등록'시 연산시간을 현저히 단축시켰고 추출된 정합점에 과대오차제거법을 적용함으로서 단순히 영역기반정합법을 적용한 경우에 비해서 정확도가 향상됨을 확인할 수 있었다. 제안한 알고리즘을 이용하여 테스트 프로그램을 작성, 한반도 Landsat ETM+ 영상 3장을 이용하여 테스트하였다. 정합점 간의 평균제곱오차는 0.436 영상소, 정합점은 평균 38,475개로 나타났다. 연산시 간은 평균 약 8분으로 나타났다.

• Journal of Biomedical Engineering Research
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• v.31 no.2
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• pp.114-122
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• 2010

This paper presents a method that registers a lymphoscintigraphy to the real image captured by a CMOS camera, which helps surgeons to easily and precisely detect sentinel lymph nodes for sentinel lymph node biopsy in breast cancer patients. The proposed method consists of two steps: pre-matching and image registration. In the first step, we localize fiducial markers in a lymphoscintigraphy and a real image of a four quadrant bar phantom by using image processing techniques, and then determines perspective transformation parameters by matching with the corresponding marker points. In the second step, we register a lymphoscintigraphy to a real images of patients by using the perspective transformation of pre-matching. To examine the accuracy of the proposed method, we conducted an experiment with a chest mock-up with radioactive markers. As a result, the euclidean distance between corresponding markers was less than 3mm. In conclusion, the present method can be used to accurately align lymphoscintigraphy and real images of patients without attached markers to patients, and then provide useful anatomical information on sentinel lymph node biopsy.

• The Journal of Korean Academic Society of Nursing Education
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• v.25 no.1
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• pp.69-82
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• 2019

Purpose: The purpose of the study is to understand the experiences of career exploration among nursing students during their clinical practice and to develop a theoretical framework for the career exploration process. Methods: From February 2 to 28, 2015, data were collected through focus group interviews from 24 participating fourth-year nursing students. The data were analyzed using grounded theory. Results: The central phenomenon of 'confusion between the ideal and the reality of nursing' occurred in contexts for various reasons of choosing one's major, nurses in the ideal, a vague fear of the field, arduous nursing assignments in the field, and severe adversity in the nursing field. Nursing students tried to deal with their confusion by using interaction strategies such as pursuing the intrinsic value of nursing, finding role models, trying to project oneself, and preparing for adapting to reality. The career exploration process in clinical practice was a voyage to discover the authentic nurse of the pre-registration nurse. Conclusion: This result shows that nursing students were to gain confidence in their career choices by finding the value of nursing and interacting with patients. Therefore, opportunities for learning experiences about interaction with patients and various positive experiences in clinical practice should be provided for nursing students.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.833-841
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• 2023

The study is to suggest the example of convergence capstone design operation in department of early childhood education at a college and intellectual property rights application and registration. Based on key experiences such as practical training, students derived ideas for solving problems across the field related to young child, and overlaps with existing intellectual property rights ideas were verified. Linkage with industry and engineering experts was established for mentoring, after going through a refinement process, it contains the process by which five teams among the winning works of the school competition achieved the result of patent application and registration. Through this, we revitalize convergence capstone design education that goes beyond a creative and practical competency-centered curriculum and is linked to the performance of securing intellectual property rights.