• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2005년도 춘계학술대회 발표 논문집
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• pp.79-92
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• 2005

To query the vast amount of web pages which are available i]l the Internet, it is necessary to extract the encoded information in the web pages for converting it into structured data (e.g. relational data for SQL) or semistructured data (e.g. XML data for XQuery), In this paper, we propose a new web information extraction system, PIES, to convert web information into XML documents. PIES is based on a user-specified target schema and HTML tag pattern descriptions. The web information is extracted by the pattern descriptions and validated by the target schema. We designed a new language to describe extraction rules, and a new regular expression to describe HTML tag patterns. We implemented PIES and applied it to the US patent web site to evaluate its correctness. It successfully extracted more than thousands of US patent data and converted them into XML documents.

• 한국통신학회논문지
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• 제27권4B호
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• pp.353-364
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• 2002

본 논문에서는 계층적 디지털 알고리즘과 광 BPEJTC를 이용하여 주시각을 제어함으로써 이동표적을 적응적으로 추적할 수 있는 새로운 광-디지털 스테레오 물체추적 시스템을 제안하였다. 즉, 제안된 시스템에서는 먼저, 순차적인 입력영상으로부터 배경정합을 통해 표적을 탐지하고 이어서, 영상 차분 필터, 논리곱 연산 및 모폴로지 필터를 이용하여 구성된 표적 투영마스크를 이용하여 표전물체를 영역화한 다음 최종적으로 광 BPEJTC(binary phase extraction joint transform correlator)를 이용하여 표전물체의 위치정보를 추출해 냄으로써 이를 이용한 실시간적 카메라 주시각 제어 및 물체추적이 가능한 새로운 광-디지털 스테레오 물체추적 알고리즘을 제시하였다. 또한, 본 논문에서 새로이 제안된 표적물체 추출 및 카메라 주시각 제어 알고리듬의 광학적 구현을 통해 적응적 스테레오 물체 추적시스템의 실시간적 구현 가능성을 제시하였다.

• 한국군사과학기술학회지
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• 제20권1호
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• pp.40-47
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• 2017

To classify the vehicle targets automatically using thermal images, there are usually two main categories of feature extraction method, local and shape feature extraction methods. Since thermal images have less texture information than color images, the shape feature extraction method is useful when the segmentation results are correct. However, if there are some errors in target segmentation, the shape feature may contain some errors, then the classification accuracy can be decreased. To overcome these problems, in this paper, we propose the segmentation reliability estimation method for target classification. The segmentation reliability can be estimated by using the difference information of average intensities and edge energies between the target and the background area. The estimated segmentation reliability is applied in the decision level fusion method of classification results using both shape and local features. Experiment results using the thermal images of the vehicle targets (main battle tank, armored personnel carrier, military truck, and an estate car) show that the proposed classification method and the segmentation reliability estimation method have a good performance in classification accuracy.

• 한국멀티미디어학회논문지
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• 제15권3호
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• pp.291-298
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• 2012

일반적인 ATR시스템에서는 대부분 FLIR센서에 의존하여 영상을 획득하나, 표적의 경계가 모호한 경우 견실한 표적 분할을 보장할 수 없는 한계점이 있다. 이에 본 논문은 FLIR과 CCD센서를 통해 획득된 영상에 대한 적응적 가중치 기반의 융합 방법을 제안함으로써 보다 정확한 표적 분할 성능을 재현한다. 융합을 위한 FLIR영상의 가중치는 모호한 경계를 구분하기 위한 bi-modality 척도와 표적 경계와의 거리를 통해 결정되고, CCD영상의 가중치는 표적과 배경의 질감차이를 나타내는 질감 척도와 거리 척도를 통해 도출된다. 제안 방법의 타당성 검증을 위하여 다양한 환경에서 획득된 표적 영상에 대한 제안 방법과 단일 센서 기반의 표적 분할의 성능 비교를 수행하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.1211-1212
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• 2008

In this paper, we propose image process modeling as a part of location based surveillance system for unauthorized target recognition and tracking in harbor, airport, military zone. For this, we compress and store background image in lower resolution and perform object extraction and motion tracking by using sobel edge detection and difference picture method between real images and a background image. In addition to, we use Independent Component Analysis Neural Network for moving target recognition. Experiments are performed for object extraction and tracking of moving targets on road by using static camera in 20m height building and it shows the robust results.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.789-790
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• 2008

In this paper, we introduce the multi-target-based auto surveillance algorithm. Multi-target-based surveillance system detects intrusion objects in the specified areas. The proposed algorithm can divide into two parts: i) background generation, ii) object extraction. In this paper, one of the optical flow equation methods for estimation of gradient method used to generate the background [2]. In addition, the objects and back- ground video images that are continually entering the differential extraction.

• 대한전자공학회논문지
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• 제19권4호
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• pp.21-25
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• 1982

본 논문에서는 thresholding기법을 사용하여 주어진 영상을 이진영상(two-valued image)으로 만든 다음 이 이진 영상에 이중 게이트(double gate)를 적용하여 유사 목표물(targer-like objects)을 추출하는 새로운 기법을 제시하였다. 합성된 영상 데이타에 대해 새로운 기법이 잘 적용, 수행됨을 보였다.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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• pp.1363-1366
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• 2009

A new recognition method is used to find the three-dimensional target object on integral imaging. For finding the location of a target image, amount of reconstructed reference image is needed. This method is giving accurate information of target image by correlated among reconstructed target images and reference images.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.37.4-37
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• 2002

$\textbullet$ Feature extraction method for robot application $\textbullet$ Using ultrasonic sensor arrays $\textbullet$ Differentiate the target as plane, corner and edge $\textbullet$ Neural network approach

• Nuclear Engineering and Technology
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• 제56권1호
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• pp.70-77
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• 2024

A low energy ion irradiation system based on the deuterium arc ion source with a high perveance of 1 µP for a single extraction aperture has been successfully developed for the investigation of ion irradiation on plasma-facing components including the first mirror of plasma optical diagnostics system. Under the optimum operating condition for mirror testing, the ion source has a beam energy of 200 eV and a current density of 3.7 mA/cm². The ion source comprises a magnetic cusp-type plasma source, an extraction system, a target system with a Faraday cup, and a power supply control system to ensure stable long time operation. Operation parameters of plasma source such as pressure, filament current, and arc power with D₂ discharge gas were optimized for beam extraction by measuring plasma parameters with a Langmuir probe. The diode electrode extraction system was designed by IGUN simulation to optimize for 1 µP perveance. It was successfully demonstrated that the ion beam current of ~4 mA can be extracted through the 10 mm aperture from the developed ion source. The target system with the Faraday cup is also developed to measure the beam current. With the assistance of the power control system, ion beams are extracted while maintaining a consistent arc power for more than 10 min of continuous operation.