• Journal of Electrical Engineering and Technology
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• 제10권1호
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• pp.308-313
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• 2015

This paper describes a technique for complete identification of a two-dimensional scattering object and multiple objects immersed in air using microwaves where the scatterers are assumed to be a homogenous dielectric medium. The employed technique consists of initially retrieving the shape and position of the scattering object using a linear sampling method and then determining the electric permittivity and conductivity of the scatterer using adjoint sensitivity analysis. Incident waves are assumed to be TM (Transverse Magnetic) plane waves. This inversion algorithm results in high computational speed and efficiency, and it can be generalized for any scatterer structure. Also, this method is robust with respect to noise. The numerical results clearly show that this hybrid approach provides accurate reconstructions of various objects.

• 대한임베디드공학회논문지
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• 제12권6호
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• pp.395-403
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• 2017

Image processing for object detection and identification has been studied for supply chain management application with various approaches. Among them, feature pointed detection algorithm is used to track an object or to recognize a position in automated supply chain systems and a depth image based feature point detection is recently highlighted in the application. The result of feature point detection is easily influenced by image noise. Also, the depth image has noise itself and it also affects to the accuracy of the detection results. In order to solve these problems, we propose a novel hybrid filtering mechanism for depth image based feature point detection, it shows better performance compared with conventional hybrid filtering mechanism.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2009년도 춘계학술대회
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• pp.299-301
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• 2009

최근 유비쿼터스 기술을 도시 인프라에 적용하는 u-City 개발연구가 활발히 진행되고 있다. u-City에서의 시설관리는 실시간으로 도시내 시설물의 위치 및 상태정보를 모니터링하고 필요에 따라 지능적인 제어가 요구된다. 이를 구현하기 위해서는 기존 도시정보시스템에서 이용되던 GIS도면 혹은 대장에 의한 관리방식에서 벗어나 관리대상의 상태를 원격에서 직접 관리할 수 있는 체계가 필요하다. 이미 '지능형국토정보기술혁신사업'을 통하여 시설물 뿐만 아니라 부재와 센서의 상태파악을 원거리에서 효율적으로 하기 위하여 도시공간객체식별자(UOID:Urban Object IDentifier)를 제안하였다. 본 연구에서는 UOID의 효율적인 부여와 관리를 위한 DBMS기반의 시스템을 개발하였다. 본 시스템을 통해 관리자는 UOID의 생성, 수정, 소멸 등의 이력을 시간정보와 함께 관리할 수 있다. 또한, 3차원 도시객체모델과 함께 UOID를 관리하여, ID를 이용하여 좀 더 직관적인 도시시설 관리가 가능토록 하였다. 향후, 개발될 UOID시스템은 도시공간정보플랫폼에 적용되어 도시 내에 발생하는 모든 이벤트를 효과적으로 관리할 수 있는 식별자가 될 것이다.

• 한국생산제조학회지
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• 제24권2호
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• pp.166-171
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• 2015

In this study, an automation tool was developed for rapid evaluation of machine tool spindle designs with automated three-dimensional finite element analysis (3D FEA) using solid elements. The tool performs FEA with the minimum data of point coordinates to define the section of the spindle shaft and bearing positions. Using object-oriented programming techniques, the tool was implemented in the programming environment of a CAD system to make use of its objects. Its modules were constructed with the objects to generate the geometric model and then to convert it into the FE model of 3D solid elements at the workbenches of the CAD system using the point data. Graphic user interfaces were developed to allow users to interact with the tool. This tool is helpful for identification of a near optimal design of the spindle based on, for example, stiffness with multiple design changes and then FEAs.

• 전기학회논문지
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• 제64권7호
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• pp.1040-1046
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• 2015

This paper introduces GP(Genetic Programming) based color detection model for an object detection of humanoid robot vision. Existing color detection methods have used linear/nonlinear transformation of RGB color-model. However, most of cases have difficulties to classify colors satisfactory because of interference of among color channels and susceptibility for illumination variation. Especially, they are outstanding in degraded images from robot vision. To solve these problems, we propose illumination robust and non-parametric multi-colors detection model using evolution of GP. The proposed method is compared to the existing color-models for various environments in robot vision for real humanoid Nao.

• 정보통신설비학회논문지
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• 제10권2호
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• pp.68-73
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• 2011

In Ground Penetrating Radar (GPR) for buried object detection, it is important to identify a buried target because removal of an unwanted target requires as much time and effort as does a wanted target. For a simulation of the target identification, the FDTD (Finite Difference Time Domain) and PML (Perfectly Matched Layer) techniques are widely used. Simulation results vary depending on the type of the buried object and the position of the source. As a result, this paper illustrates the range (time) profile of the five types of facilities including PEC (Perfect Electric Conductor) rectangular box and pipes, and shows the comparison of the range profile of the buried facilities.

• 한국CDE학회논문집
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• 제14권1호
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• pp.10-17
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• 2009

Surface detection and parameter estimation in point cloud is a relevant subject in CAD/CAM, reverse engineering, computer vision, coordinate metrology and digital factory. In this paper we present a software for a fully automatic surface detection and parameter estimation in unordered, incomplete and error-contaminated point cloud with a large number of data points. The software consists of three algorithmic modules each for object identification, point segmentation, and model fitting, which work interactively. Our newly developed algorithms for orthogonal distance fitting(ODF) play a fundamental role in each of the three modules. The ODF algorithms estimate the model parameters by minimizing the square sum of the shortest distances between the model feature and the measurement points. We demonstrate the performance of the software on a variety of point clouds generated by laser radar, computer tomography, and stripe-projection method.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2011년도 춘계학술대회
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• pp.161-163
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• 2011

최근 몇 년사이 CCTV에 대한 활용도와 중요성이 대두되고 있으며, CCTV의 해상도 또한 SD급 CCTV에서 HD급 CCTV로 대부분 전환되고 있는 상황이다. HD급 CCTV는 고화질, 고해상도를 제공하는 장점을 갖지만, 많은 데이터 량으로 인해 실시간 처리가 어려운 문제점 또한 포함하고 있다. 또한 CCTV는 지능형 CCTV로의 기술적인 진보를 거듭하고 있으며, 대표적인 solution으로 증강현실(AR:Augmented Reality)을 꼽을 수 있다. 본 논문에서는 HD-CCTV의 최대 장점이라고 할 수 있는 실시간 영상에 선박의 정보(AIS : Automatic Identification System)을 결합하여 실시간으로 항만을 모니터링 하는 시스템을 구현하였다. 또한 750mm Zoom Lens를 탑재한 PanTilt 장비를 이용하여 선박을 targeting 하는 시스템 또한 구현하였다. 증강현실을 이용하여 실시간 영상과 선박 정보를 결합하였으며, 이를 구현하기 위해 perspective projection 방법을 통해 3차원 공간좌표계를 2차원으로 투영하였다. 실시간 처리를 위해 입력영상을 Block으로 분할하여 목적 좌표를 검색하였으며, 선박정보의 부드러운 이동을 위해 Dead Reckon 기법과 linear prediction 방법을 이용하여 선박 위치를 예측하였다. 마지막으로 삼각측량법에 기반하여 현재 PanTilt 장비를 목적된 장소로 이동시키는 시스템을 구현하였다.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2005년도 추계학술대회 및 정기총회
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• pp.19-24
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• 2005

Radio Frequency Identification (RFID) is a technology used to identify the physical objects and get information about the object on which the tag attaches from network. It is expected that RFID will lead IT market from human-oriented to object-oriented. Therefore, RFID technology and services will become wide-spread. But the system of RFID naming service is quite similar to the existing DNS facilities. So it has many weak points against to DDos attack. Furthermore if the MDS server Is under attack, there might be trouble of total RFID networks.In this paper, we propose a new detecting model to find attack traffic at local routers by using Management Information Base (MIB) which is optimized for RFID MDS server.

• 제어로봇시스템학회논문지
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• 제10권8호
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• pp.726-733
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• 2004

This paper presents a method to segment object ID(identification) marks on poor quality images under uncontrolled lighting conditions of automated inspection process. The method is based on dynamic programming using multiple templates and normalized gray-level correlation (NGC) method. If the lighting condition is not good and hence, we can not control the image quality, target image to be inspected presents poor quality ID marks and it is not easy to identify and recognize the ID characters. Conventional several methods to segment the interesting ID mark regions fail on the bad quality images. In this paper, we propose a multiple template method, which uses combinational relation of multiple templates from model templates to match several characters of the inspection images. To increase the computation speed to segment the ID mark regions, we introduce the dynamic programming based algorithm. Experimental results using images from real factory automation(FA) environment are presented.