• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
• /
• pp.628-631
• /
• 1988

This paper describes a fingerprint classification on the basis of feature points(whorl, core) and feature vector and uses a syntactic approach to identify the shape of flow line around the core. Fingerprint image is divided into 8 by 8 subregions and fingerprint region is separated from background. For each subregion of fingerprint region, the dominant ridge direction is obtained to use the slit window quantized in 8 direction and relaxation is performed to correct ridge direction code. Feature points(whorl, core, delta) are found from the ridge direction code. First classification procedure divides the types of fingerprint into 4 class based on whorl and cores. The shape of flow line around the core is obtained by tracing for the fingerprint which has one core or two core and is represented as string. If the string is acceptable by LR(1) parser, feature vector is obtained from feature points(whorl, core, delta) and the shape of flow line around the core. Feature vector is used hierarchically and linearly to classify fingerprint again. The experiment resulted in 97.3 percentages of sucessful classification for 71 fingerprint impressions.

• 한국게임학회 논문지
• /
• 제5권1호
• /
• pp.19-24
• /
• 2005

게임환경에서 자연물의 표현에 프랙탈을 이용한 경우, 주변의 힘 등에 의한 자연스러운 변형이 구현되어야 보다 사실감을 느낄 수 있다. 일반적인 연속적 변형의 특징과 프랙탈적 특징을 모두 갖는 변형을 코드변환을 도입하여 생성하는 다양한 방법을 예시하였다.

• 전자공학회논문지B
• /
• 제32B권6호
• /
• pp.821-827
• /
• 1995

This paper presents a process control language for constructing multiloop control system. which include advanced control algorithms. In order to make controller, this language uses function blocks that do specific operations. Then, the total control algorithm is a set of function blocks, of which each block is represented as a function code. The function code is a line of simple ASCII codes denoting function, input, output, parameters. It is possible to use variables as input/output port of any block. Compared with other language using function block concept, the proposed one enables to use advanced control algorithms undefinitely, such as fuzzy, neural network, predictive controller, etc., because vector and matrix variables as input/output can be used freely in this language. To raise flexibility, we put an intermediate level, which is C-language code, between function code and target-dependent operation code.

• 한국멀티미디어학회논문지
• /
• 제10권11호
• /
• pp.1427-1438
• /
• 2007

비디오 워터마킹은 일반적으로 네 가지의 타입으로 분류되어진다. 첫 번째로는 원 비디오 신호에 워터마크를 삽입한 후 부호화하는 것으로 대부분의 비디오 워터마킹 기법이 이에 속한다. 두 번째로는 블록 DCT, 양자화 등의 부호화 과정에 워터마크를 삽입하는 것이고, 세 번째로는 부호화된 비트스트림에 워터마크를 삽입하는 것으로 이를 라벨링(labeling)이라고도 한다. 마지막으로 네 번째로는 움직임 벡터에 워터마크를 삽입하는 것으로, 이는 높은 복잡도가 요구되며 블록화 현상과 같은 화질 열화가 발생된다. 본 논문에서는 움직임 벡터 추정을 이용한 I 프레임 상에서 SPIHT 기반의 비디오 부호화에 워터마크를 삽입하는 방법을 제안한다. 이는 블록 DCT 기반의 부호화기에 발생되는 블록화 현상을 제거하고, 점진적 전송 특성을 가진다. 제안한 방법에서는 I 프레임 상에서 이전 P 또는 B 예측 프레임으로부터 움직임 벡터를 추정한 후에 이를 기반으로 워터마크 삽입 영역을 선택한다. 그리고 DWT를 수행하여 워터마크 삽입 영역 상에서 움직임 벡터의 방향과 동일한 부대역 상의 웨이브릿 계수를 HVS에 기반하여 워터마크를 삽입한다. 마지막으로 SPIHT 부호화기에 의하여 워터마크가 삽입된 비디오 비트스트림을 생성한다. 실험 결과로부터 제안한 방법이 객관적 및 주관적인 화질 측면에서 우수한 비가시성을 확인하였고, 다양한 압축률 및 MPEG 재부호화 등에 대하여 우수한 강인성을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권4호
• /
• pp.1807-1823
• /
• 2016

Local Binary Pattern (LBP) and its variants have powerful discriminative capabilities but most of them just consider each LBP code independently. In this paper, we propose sub oriented histograms of LBP for smoke detection and image classification. We first extract LBP codes from an image, compute the gradient of LBP codes, and then calculate sub oriented histograms to capture spatial relations of LBP codes. Since an LBP code is just a label without any numerical meaning, we use Hamming distance to estimate the gradient of LBP codes instead of Euclidean distance. We propose to use two coordinates systems to compute two orientations, which are quantized into discrete bins. For each pair of the two discrete orientations, we generate a sub LBP code map from the original LBP code map, and compute sub oriented histograms for all sub LBP code maps. Finally, all the sub oriented histograms are concatenated together to form a robust feature vector, which is input into SVM for training and classifying. Experiments show that our approach not only has better performance than existing methods in smoke detection, but also has good performance in texture classification.

• 한국전자통신학회논문지
• /
• 제17권1호
• /
• pp.31-40
• /
• 2022

본 논문은 기존 QSBC(Quantum Short-Block Code)의 기능은 보전하면서 파울리 X 및 Y 오류에 의한 단일 비트플립 오류정정 기능을 부가한 증강된 QSBC를 제안한다. 증강된 QSBC는 기존 QSBC에 정보워드 수만큼의 추가적인 보조 큐비트와 Toffoli 게이트를 삽입해 단일 파울리 X 오류의 진단과 자동정정 기능을 부여한 것이다. 본 논문은 종자 벡터를 이용한 증강된 QSBC의 일반적 확장 방법과 확장성을 반영한 단일 비트플립오류 자동정정 함수의 Toffoli 게이트 실현 방법도 제시하였다. 본 논문이 제안한 증강된 QSBC는 보조 큐비트 삽입으로 인해 코딩률이 최소 1/3과 최대 1/2인 trade-off를 갖는다.

• International journal of advanced smart convergence
• /
• 제13권2호
• /
• pp.48-60
• /
• 2024

With the exponential growth of satellite data utilization, machine learning has become pivotal in enhancing innovation and cybersecurity in satellite systems. This paper investigates the role of machine learning techniques in identifying and mitigating vulnerabilities and code smells within satellite software. We explore satellite system architecture and survey applications like vulnerability analysis, source code refactoring, and security flaw detection, emphasizing feature extraction methodologies such as Abstract Syntax Trees (AST) and Control Flow Graphs (CFG). We present practical examples of feature extraction and training models using machine learning techniques like Random Forests, Support Vector Machines, and Gradient Boosting. Additionally, we review open-access satellite datasets and address prevalent code smells through systematic refactoring solutions. By integrating continuous code review and refactoring into satellite software development, this research aims to improve maintainability, scalability, and cybersecurity, providing novel insights for the advancement of satellite software development and security. The value of this paper lies in its focus on addressing the identification of vulnerabilities and resolution of code smells in satellite software. In terms of the authors' contributions, we detail methods for applying machine learning to identify potential vulnerabilities and code smells in satellite software. Furthermore, the study presents techniques for feature extraction and model training, utilizing Abstract Syntax Trees (AST) and Control Flow Graphs (CFG) to extract relevant features for machine learning training. Regarding the results, we discuss the analysis of vulnerabilities, the identification of code smells, maintenance, and security enhancement through practical examples. This underscores the significant improvement in the maintainability and scalability of satellite software through continuous code review and refactoring.

• 제어로봇시스템학회논문지
• /
• 제12권5호
• /
• pp.431-437
• /
• 2006

In this paper vector code correlation(VCC) method and an algorithm to promote the image-processing performance in building an effective measurement system using cameras are described far automatically berthing and controlling the ship equipped with side-thrusters. In order to realize automatic ship berthing, it is indispensable that the berthing assistant system on the ship should continuously trace a target in the berth to measure the distance to the target and the ship attitude, such that we can make the ship move to the specified location. The considered system is made up of 4 apparatuses compounded from a CCD camera, a camera direction controller, a popular PC with a built-in image processing board and a signal conversion unit connected to parallel port of the PC. The object of this paper is to reduce the image-processing time so that the berthing system is able to ensure the safety schedule against risks during approaching to the berth. It could be achieved by composing the vector code image to utilize the gradient of an approximated plane found with the brightness of pixels forming a certain region in an image and verifying the effectiveness on a commonly used PC. From experimental results, it is clear that the proposed method can be applied to the measurement system for automatic ship berthing and has the image-processing time of fourfold as compared with the typical template matching method.

• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2007년도 추계학술대회 논문집
• /
• pp.145-147
• /
• 2007

This paper presents an implementation of vector control for SMPMSM using model based controller design in MATLAB/SIMULINK. The model based controller design enables fast development of control system for motor by designing controllers and performing simulation on the GUI (Graphic User Interface) platform, converting program code directly into real-time programs, and then performing tests for the responses from controllers. The controller is designed as PI controller for speed and decoupling PI controller for current. And PWM used space vector modulation method using offset voltage and system stability is also secured by close magnitude overmodulation method, maintaining dynamics of load when it overmodulation. The validity of vector control implemented is verified through simulations and experiments.

• 한국항공우주학회지
• /
• 제35권3호
• /
• pp.183-195
• /
• 2007

이차원 범프 유동에 대한 다양한 예조건화 행렬의 수렴 특성을 살펴 Choi 와 Merkle 의 예조건화 행렬을 선택하여, 압축성 및 예조건화 Roe의 Riemann 해법의 수치 소산항을 수학적으로 비교하였다. 이 결과 코드의 구조는 동일하게 유지한 채, 고유치의 작은 수정만으로 압축성 해법을 예조건화 해법으로 이전할 수 있는 방법을 알 수 있었다. 아울러 점성 유동 영역에서의 안정성 및 정확성을 향상시키기 위하여 von Neumann 안정 조건 및 점성 자코비안을 고려하였으며, 개발된 코드는 표준 검증 문제에 적용하여 검증을 수행하였다.