• Journal of IKEEE
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• v.24 no.1
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• pp.200-207
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• 2020

In this paper, an area-efficient feature extractor was proposed for security surveillance radar systems and FPGA-based implementation results were presented. In order to reduce the memory requirements, features extracted from Doppler profile for FFT window-size are used, while those extracted from total spectrogram for frame-size are excluded. The proposed feature extractor was design using Verilog-HDL and implemented with Xilinx Zynq-7000 FPGA device. Implementation results show that the proposed design can reduce the logic slice and memory requirements by 58.3% and 98.3%, respectively, compared with the existing research. In addition, security surveillance radar system with the proposed feature extractor was implemented and experiments to classify car, bicycle, human and kickboard were performed. It is confirmed from these experiments that the accuracy of classification is 93.4%.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.206-209
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• 2005

본 논문에서는 국내에서 상용화되고 있는 삼성전자의 SPC-10의 IEC1131-3 표준 언어(LD, SFC, FBD, ST)가 상호 호환성을 갖도록 목적 언어인 IL로 변환하여 컴파일 될 수 있는 IL 컴파일러를 개발하고자 한다. 개발하려는 IL 컴파일러는 IL언어의 활용성을 매우 높여주며, 실제네트워크 디바이스에 다운로드 하여 사용할 수 있는 IL 언어를 생성하고 실행시키는 점이 특징이다. 이 시스템은 SPC-10에서 많이 사용되는 언어를 패턴인식에 의해 클러스터링하여 자동적으로 IL 언어로 변환이 되며, 컴파일에 의해 PLC 프로그램의 동작이 가능하다. 이 시스템에서는 또한 사용자가 발생할 수 있는 문법오류는 물론 논리오류를 지능적 에이전트에 의해 검색하여 수정함으로써 최적화된 환경에서 PC 기반 제어가 가능하도록 해준다.

• IE interfaces
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• v.8 no.3
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• pp.75-95
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• 1995

ISO (International Standard Organization)에서는 산업전반에 걸친 다양한 제품의 설계, 해석, 생산, 그리고 관리에 필요한 모든 제품정보를 정의하는 STEP (Standard for the Exchange of Product model data) 표준을 1983년부터 추진하고 있으나, 이를 지원하는 상용 프로그램들은 아직 초기 단계에 있어 이들을 활용하여 시스템 통합을 구현 할 수 없다. 본 연구에서는 현재 STEP에서 부분적으로 정의되어 있는 현상, 형상 특징, 공차, 프로세스, 그리고 제품 관리 정보 등을 통합하여, CAD, CAPP, 그리고 MRP 시스템 간에 정보를 교환하는 프로토타입을 개발하였다. EXPRESS로 표현된 통합 정보 모델은 STEP의 공통자원에 새로운 엔티티와 속성을 추가하여 구성하였고, IGES 파일 변환기, STEP 파일 에디터, 그리고 데이타베이스 인터페이스를 통하여 통합 정보를 저장하고 교환한다.

• The KIPS Transactions:PartA
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• v.13A no.3 s.100
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• pp.205-210
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• 2006

To assist developing robust multithreaded software, we develop a thread monitoring system for multithreaded Java programs, which can trace or monitor running threads and synchronization. We design a monitoring system which has options to select interesting threads and synchronizations. Using this tool, programmers can monitor only interesting threads and synchronization in more details by selecting options. It also provides profile information after execution, which summarizes behavior of running threads and synchronizations during execution. We implement the system based on code inlining, and presents some experimental results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.9
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• pp.1918-1924
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• 2011

This article proposes a POD system framework which creates templates by using the Web service environment with good accessibility, provides them so that users can easily edit them, and uses COM ports following Web standard capable of real-time printing with the same quality as edited files. The characteristic of framework proposed in this article is that it creates programs which users with basic skill in Internet use can learn and use relatively easily when compared with existing specialized editing programs and which allows users to print real-time such files as personally created by them in the same quality as on the screen, and thereby enhances accessibility thereof.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1020-1026
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• 2011

In this paper, we propose a method that measures the height and stagger of an catenary using the laser profile images. One line laser and area scanner CCD cameras are used. To quickly and accurately extract, from a photographed image, the area of the overhead line on which the line laser is shone, we consider the established fact that the catenary is the lowest among the electric wires. Here we are solving the the distance to the catenary if we know the distance the camera is from the ground and the angle of the catenary in the field of view. The angle will be related to the number of pixels in the image. This pixels per degree is a constant for the camera. Also, because of the different pixel resolution of the camera according to the overhead line position, we compensate the measurement result through camera calibration.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.3
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• pp.122-127
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• 2021

Flow features near the ship bow such as wave breaking, small scale phenomena have been studied using numerical methods. In this study, the bow shaped wedge was adopted which is from previous paper [1, 2] and the conditions of simulation were Re = 1.64 × 10⁵) and Fr = 2.93. Star CCM+, one of the commercial CFD programs has been used for the simulations. Simulation results such as wave profiles near the ship bow, shape of plunging jet, air entrainment, and wave breaking process have been compared with previous experimental and numerical studies. Overall results showed good agreements with previous studies. Profiles of bow waves showed that overturning jet has been created and broken along the wedge. Plunging wave breaking has been observed along the wedge and four components of plunging wave breaking process were shown. It is confirmed that velocity near the overturing jet significantly increased during plunging wave breaking.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.821-829
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• 2004

A face recognition has been used for verifying and authorizing valid users, but its applications have been restricted according to lighting conditions. In order to minimizing the restricted conditions, this paper proposes a new algorithm of detecting the face from the input image obtained under the irregular lighting condition. First, the proposed algorithm extracts an edge difference image from the input image where a skin color and a face contour are disappeared due to the background color or the lighting direction. In the next step, it extracts a face region using the histogram of the edge difference image and the intensity information. Using the intensity information, the face region is divided into the horizontal regions with feasible facial features. The each of horizontal regions is classified as three groups with the facial features(including eye, nose, and mouth) and the facial features are extracted using empirical properties of the facial features. Only when the facial features satisfy their topological rules, the face region is considered as a face. It has been proved by the experiments that the proposed algorithm can detect faces even when the large portion of face contour is lost due to the inadequate lighting condition or the image background color is similar to the skin color.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.3
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• pp.143-154
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• 2008

Information hiding is a very important technology recently. Having this technology can be a competitive power for secure communication. In this paper, it will be showed that hiding data in MS Office 2007 file is possible. Considering Microsoft (MS) Office 2007 file format is based on Open XML format, the feature of Open XML format makes it possible to hide data in MS Office 2007 file. In Open XML format, unknown XML files and their relationships can be defined by user. These parts and relationships are used to hide data in MS Office 2007 file. Considering unknown parts and unknown relationships are not in normal MS Office 2007 file, the hidden data can be detected by confirming of unknown parts and unknown relationships.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1463-1474
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• 2018

Fuzzing is one of the software testing techniques that find security flaws by inputting invalid values or arbitrary values into the program and various methods have been suggested to increase the efficiency of such fuzzing. In this paper, focusing on the existence of field with high relevance to coverage and software crash, we propose a new method for intensively fuzzing corresponding field part while performing field based fuzzing. In this case, we use a deep learning model called Variational Autoencoder(VAE) to learn the statistical characteristic of input values measured in high coverage and it showed that the coverage of the regenerated files are uniformly higher than that of simple variation. It also showed that new crash could be found by learning the statistical characteristic of the files in which the crash occurred and applying the dropout during the regeneration. Experimental results showed that the coverage is about 10% higher than the files in the queue of the AFL fuzzing tool and in the Hwpviewer binary, we found two new crashes using two crashes that found at the initial fuzzing phase.