• 한국정보기술학회논문지
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• 제16권12호
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• pp.69-74
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• 2018

도로명주소는 도로마다 이름을 짓고 건물마다 번호를 부여하는 2차원 평면상의 위치표시방법이다. 그러나 도로명주소는 행정, 법률행위 등에 필요한 부분만을 나타내고 있어 다양한 도로의 주요특성과 비주거지역 등을 제대로 나타내지 못한다. 이는 또 다른 목적을 가진 위치식별방법으로 독립하게 되어 서로 다른 위치식별 방법들을 표준화하기가 더욱 어렵다. 본 논문은 우리나라의 서로 다른 위치표시로 인한 통합의 어려움 극복과 2차원 평면적인 한계를 벗어나기 위하여 도로기반 3D 위치식별코드를 연구한다. 이는 도로에 기반하여 다양한 위치식별방법을 통합하고 공간 좌표를 식별하는 방법으로서, 4차 산업혁명시대에 적합한 국토의 3차원 디지털 코드화에 관한 연구이다.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권10호
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• pp.595-603
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• 2005

This Paper proposes the tire mold number identification method which reads the letters on a tire surface with 3D. It is very difficult to separate the letters from the background of an image since the letters on a tire surface is an embossed data. There was many studies to read the letters on a tire surface for the factory automation, however, it was very difficult to separate the letters from the background of an image since the letters on a tire surface is embossed black characters on the black ground. In this study, we first developed the method to find the location of tire mold number, which is used to classify the tire size, from the embossed letters on a tire surface using 3-dimensional laser profile camera which is not affected by the lighting condition, then developed the method to separate the mold number from that location. As a result, we were able to contribute to automate the tire size classification which has been manually performed by operators previously.

• 한국생산제조학회지
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• 제24권6호
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• pp.703-709
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• 2015

In this work, a robot aimed at grapping and delivering an object by using a simple finger-pointing command from a hand- or arm-handicapped person is introduced. In this robot system, a Leap Motion sensor is utilized to obtain the finger-motion data of the user. In addition, a Kinect sensor is also used to measure the 3D (Three Dimensional)-position information of the desired object. Once the object is pointed at through the finger pointing of the handicapped user, the exact 3D information of the object is determined using an image processing technique and a coordinate transformation between the Leap Motion and Kinect sensors. It was found that the information obtained is transmitted to the robot controller, and that the robot eventually grabs the target and delivers it to the handicapped person successfully.

• Korean Journal of Radiology
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• 제24권9호
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• pp.860-870
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• 2023

Objective: The intra-parotid facial nerve (FN) can be visualized using three-dimensional double-echo steady-state water-excitation sequence magnetic resonance imaging (3D-DESS-WE-MRI). However, the clinical impact of FN imaging using 3D-DESS-WE-MRI before parotidectomy has not yet been explored. We compared the clinical outcomes of parotidectomy in patients with and without preoperative 3D-DESS-WE-MRI. Materials and Methods: This prospective, non-randomized, single-institution study included 296 adult patients who underwent parotidectomy for parotid tumors, excluding superficial and mobile tumors. Preoperative evaluation with 3D-DESS-WE-MRI was performed in 122 patients, and not performed in 174 patients. FN visibility and tumor location relative to FN on 3D-DESS-WE-MRI were evaluated in 120 patients. Rates of FN palsy (FNP) and operation times were compared between patients with and without 3D-DESS-WE-MRI; propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used to adjust for surgical and tumor factors. Results: The main trunk, temporofacial branch, and cervicofacial branch of the intra-parotid FN were identified using 3D-DESS-WE-MRI in approximately 97.5% (117/120), 44.2% (53/120), and 25.0% (30/120) of cases, respectively. The tumor location relative to FN, as assessed on magnetic resonance imaging, concurred with surgical findings in 90.8% (109/120) of cases. Rates of temporary and permanent FNP did not vary between patients with and without 3D-DESS-WE-MRI according to PSM (odds ratio, 2.29 [95% confidence interval {CI} 0.64-8.25] and 2.02 [95% CI: 0.32-12.90], respectively) and IPTW (odds ratio, 1.76 [95% CI: 0.19-16.75] and 1.94 [95% CI: 0.20-18.49], respectively). Conversely, operation time for surgical identification of FN was significantly shorter with 3D-DESS-WE-MRI (median, 25 vs. 35 min for PSM and 25 vs. 30 min for IPTW, P < 0.001). Conclusion: Preoperative FN imaging with 3D-DESS-WE-MRI facilitated anatomical identification of FN and its relationship to the tumor during parotidectomy. This modality reduced operation time for FN identification, but did not significantly affect postoperative FNP rates.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제7권4호
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• pp.228-235
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• 2007

The main purpose of this paper is to manage the container property effectively at the container yard by applying the RTLS technology to the field of port logistics. Yet, many kinds of noises happen to be inputted with the distance value(between the reader and the tag) which is to be inputted into the location identification algorithm, which makes the distance value jumped due to the system noise of the ultrasonic sensor module and the measurement noise. The Kalman Filter is widely used to prevent this jump occurrence; the noises are eliminated by using the EKF(Extended Kalman Filter) while considering that the distance information of the ultrasonic sensor is non-linear. Also, the 3D RTLS system at the port container yard suggested in this research is designed not to be interrupted for its ultrasonic transmission by positioning the antenna at the front of each sector of the container where the active tags are installed. We positioned the readers, which function as antennas for location identification, to four places randomly in the absolute coordinate and let the positions of the active tags identified by using the distance data delivered from the active tags. For the location identification algorithm used in this paper, the triangulation measurement that is most used in general is applied and newly reorganized to calculate the position of the container. In the first experiment, we dealt with the error resulting in the angle and the distance of the ultrasonic sensor module, which is the most important in the hardware performance; in the second, we evaluated the performance of the location identification algorithm, which is the most important in the software performance, and tested the noise cancellation effects for the EKF. According to the experiment result, the ultrasonic sensor showed an average of 3 to 5cm error up to $45^{\circ}$ in case of $60^{\circ}$ or more, non-reliable linear distances were obtained. In addition, the evaluation of the algorithm performance showed an average of $4^{\circ}{\sim}5^{\circ}$ error due to the error of the linear distance-this error is negligible for most container location identifications. Lastly, the experiment results of noise cancellation and jump preservation by using the EKF showed that noises were removed in the distance information which was entered from the input of the ultrasonic sensor and as a result, only signal was extracted; thus, jumps were able to be removed and the exact distance information between the ultrasonic sensors could be obtained.

• 한국건설관리학회논문집
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• 제25권3호
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• pp.37-46
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• 2024

최근 스마트 건설기술 중 현상에 대한 정확하고 빠른 정보수집이 가능한 3D 레이저 스캐닝 기술이 주목받고 있다. 3D 레이저 스캐닝 기술은 건설현장에서 현실과 가장 유사한 정보를 획득할 수 있다. 본 연구에서는 3D 레이저 스캐닝 기술을 활용하여 수집할 수 있는 포인트 클라우드 데이터를 건설현장 진도측정에 적용 가능성에 대하여 새로운 부재 식별방법을 실제 건물에 적용하여 제시하고자 한다. 연구 수행을 위해 BIM으로부터 부재 식별을 위한 위치 정보를 수집, 수집된 위치 정보의 인식 여유 범위를 설정하여 포인트 클라우드 데이터로부터 건물을 구성하고 있는 부재 식별을 진행하였다. 연구결과 포인트 클라우드 데이터로부터 건물을 구성하고 있는 기둥, 보, 벽 그리고 슬라브를 식별할 수 있음을 확인하였다. 식별결과는 실제 건물에 시공이 완료된 부재를 모두 확인할 수 있었으며, 이를 프로젝트 BOQ의 부재별 단가와 연동하여 기성 산출에 활용할 수 있다. 또한, 연구를 통해 획득한 포인트 클라우드 데이터는 건설현장의 품질관리 모니터링 및 건물의 유지관리를 위한 정확한 자료로써 활용될 수 있다. 연구결과는 추후 프로젝트 활용을 위해 사용되는 건설 정보의 적시성 및 정확성 향상에 기여할 수 있을 것으로 사료된다.

• 정보처리학회논문지D
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• 제13D권1호
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• pp.67-74
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• 2006

소프트웨어 개발 과정에서 보안 요구사항 식별은 그 중요성으로 최근에 관심이 주목되고 있다. 그러나 기존 방법들은 보안 요구사항 식별 방법과 절차가 명확하지 않았다. 본 논문에서는 소프트웨어 개발자가 보안 위협 위치의 상태전이도로부터 보안 요구사항을 식별하는 절차를 제안한다. 이과정은 상태전이도를 작성하는 부분과 어플리케이션 의존적인 보안 요구사항을 식별하는 부분으로 구성된다. 상태전이도 작성은 1) 공격자가 소프트웨어 취약성을 이용하여 자산을 공격한다는 것에 기반하여 기존에 발생했던 보안 실패 자료를 이용하여 소프트웨어의 취약성을 위협하는 위치를 식별하고, 2) 식별된 위협 위치에 해당하는 소프트웨어 취약성을 방어, 완화시킬 수 있는 상태전이도를 작성하는 과정으로 이루어진다. 어플리케이션 의존적인 보안 요구사항 식별과정은 1) 기능 요구사항을 분석 한 후, 위협 위치를 파악하고, 각 위협 위치 에 해당하는 상태전이도를 적용하고, 2) 상태전이도를 어플리케이션 의존적인 형태로 수정한 후, 3) 보안 요구사항 추출 규칙을 적용하여 보안요구사항을 작성하는 과정으로 구성된다. 제안한 방법은 소프트웨어 개발자가 소프트웨어 개발 초기에 모델을 적용하여 쉽게 보안 요구사항을 식별하는데 도움을 준다.

• IEIE Transactions on Smart Processing and Computing
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• 제3권2호
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• pp.74-82
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• 2014

Automatic identification is pervasive in many areas and its applicable areas are increasing gradually. 2D bar-code, NFC, and RFID technologies are representative examples of the automatic identification. This paper explains the implementation of mobile tourism application software on RFID technology. The mobile application provides the location and navigation information by combining the tag inventory and web database. The interactions among the user, application and database server are described in detail. This paper proposes a simple way of minimizing the efforts to build the entire system by storing the URLs for the tag and accessing existing tourism information services through the URLs.

• 융합정보논문지
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• 제8권6호
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• pp.335-341
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• 2018

본 논문은 2D 지도에 증강현실 기술을 접목하며 2D정보와 3D정보를 혼합한 새로운 형태의 모바일 기기에 탑재될지도 콘텐츠에 대한 연구이다. 또한 본 논문의 이해를 돕기 위해 Unity3D 엔진을 이용하여 제작한 'NSU AR Map'이라는 3D 지도 어플리케이션의 기획부터 제작까지를 기술하였다. 'NSU AR Map'은 사용자의 위치를 정확히 파악할 수 있는 정확성과 360 View를 통한 실제 모습까지 파악이 가능하게 한 지도 어플리케이션이다. 이 논문을 통해서 3D 지도 어플리케이션의 제작과정에서 얻은 경험을 토대로 3D화 시킨 요소들과 증강현실의 기술이 새로운 지도 어플리케이션에 어떻게 작용되며 앞으로의 발전 가능성에 대한 방향성을 제시하고자 한다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.671-672
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• 2015

Due to harsh conditions of disaster areas, understanding of current feature of collapsed buildings, terrain, and other infrastructures is critical issue for disaster managers. However, because of difficulties in acquiring the geographical information of the disaster site such as large disaster site and limited capability of rescue workers, comprehensive site investigation of current location of survivors buried under the remains of the building is not an easy task for disaster managers. To overcome these circumstances of disaster site, this study makes use of an unmanned aerial vehicle, commonly known as a drone to effectively acquire current image data from the large disaster areas. The framework of 3D model reconstruction of disaster site using aerial imagery acquired by drones was also presented. The proposed methodology is expected to assist rescue workers and disaster managers in achieving a rapid and accurate identification of survivors under the collapsed building.