• Proceedings of the KSR Conference
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• 2005.11a
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• pp.671-675
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• 2005

In this paper, Development of propulsion system using IPM(Intelligent Power Module) for DC electric vehicle is proposed. Designed propulsion system is comprised of inverter stack which includes 6 IPM, BCH(Breaking Chopper) unit, FC(Filter Capacitor), Control unit. IPM can compose propulsion system simple by including gate drive circuit and protection circuit. Inverter stack is designed as a simple structure using IPM and non clamp capacitor. VVVF Inverter control is used the vector control strategy at low velocity region and slip frequency-control strategy at high velocity region. Designed propulsion system proves the performance through test and revenue service.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.1214-1221
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• 2006

In this paper, development and performance characteristic of propulsion system(Converter/Inverter) using IPM(Intelligent Power Module) for 120km/h AC electric vehicle is proposed. The proposed propulsion system is comprised of IPM converter and inverter stack which uses natural air-cooling system, DC-Link, OVCRf unit and control unit. And also 2-Parallel operation of two PWM converter is adopted for increasing capacity of system and the VVVF inverter control is used a mixed control algorithm, where the vector control strategy at low speed region and slip-frequency control strategy at high speed region. The proposed propulsion system is verified by main line test results as well as combined test results.

• Korean Journal of Remote Sensing
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• v.24 no.6
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• pp.641-644
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• 2008

In order to improve a camera rotation calculation based on the bundle adjustment in Chon's camera motion (Chon and Shankar, 2007, 2008), this paper introduces a method calculating the camera rotation. It estimates a unit vector in the optical axis of a camera through the angles between the optical axis and vectors passing a camera position and ground control points (GCP). The camera position is estimated by using the inner product method proposed by Chon. The horizontal and vertical unit vectors of the camera are determined by using Yakimovsky and Cunningham's camera model (CAHV) (1978).

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.149-151
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• 2018

H.265/HEVC(High Efficiency Video Coding)에서는 하드웨어 비디오 인코더의 처리율(Throughput)을 높이기 위하여 동일 CU(Coding Unit) 내 PU(Prediction Unit)들이 병렬로 머지 후보 리스트를 생성할 수 있는 병렬 머지 방법이 표준 기술로 사용되고 있다. 하지만 이 방법은 동일 CU 내의 PU 간의 의존성만 제거할 수 있고 코딩 순서상의 이전 CU 와의 의존성은 제거할 수 없다. 결국 이전 CU 의 모드 결정 과정이 완료된 후에 현재 CU 내의 PU 가 머지 후보 리스트를 생성할 수 있기 때문에 높은 처리율 향상을 기대할 수 없다. 또한 CU 내의 대부분의 PU 들이 가장 인접한 MV(Motion Vector)를 머지 후보로 사용하지 못하여 압축 효율에 대한 손실도 크다. 본 논문에서는 이전 CU 와의 의존성을 제거함으로써 높은 처리율을 갖으면서 압축 효율에 대한 손실을 최소화할 수 있는 개선된 병렬 머지 방법을 제안한다. 실험 결과, 제안된 방법은 기존 병렬 머지 방법 대비 동일 화질에서 평균 약 1.8%의 압축률이 향상되는 것으로 나타났다.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.8
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• pp.355-364
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• 2023

As advanced cyber threats continue to increase in recent years, it is difficult to detect new types of cyber attacks with existing pattern or signature-based intrusion detection method. Therefore, research on anomaly detection methods using data learning-based artificial intelligence technology is increasing. In addition, supervised learning-based anomaly detection methods are difficult to use in real environments because they require sufficient labeled data for learning. Research on an unsupervised learning-based method that learns from normal data and detects an anomaly by finding a pattern in the data itself has been actively conducted. Therefore, this study aims to extract a latent vector that preserves useful sequence information from sequence log data and develop an anomaly detection learning model using the extracted latent vector. Word2Vec was used to create a dense vector representation corresponding to the characteristics of each sequence, and an unsupervised autoencoder was developed to extract latent vectors from sequence data expressed as dense vectors. The developed autoencoder model is a recurrent neural network GRU (Gated Recurrent Unit) based denoising autoencoder suitable for sequence data, a one-dimensional convolutional neural network-based autoencoder to solve the limited short-term memory problem that GRU can have, and an autoencoder combining GRU and one-dimensional convolution was used. The data used in the experiment is time-series-based NGIDS (Next Generation IDS Dataset) data, and as a result of the experiment, an autoencoder that combines GRU and one-dimensional convolution is better than a model using a GRU-based autoencoder or a one-dimensional convolution-based autoencoder. It was efficient in terms of learning time for extracting useful latent patterns from training data, and showed stable performance with smaller fluctuations in anomaly detection performance.

• Bulletin of the Korean Mathematical Society
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• v.46 no.5
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• pp.967-978
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• 2009

In this work, we give some characterizations of rectifying curves in dual Lorentzian space. Also, we show that rectifying dual Lorentzian curves can be stated by the aid of dual unit spherical curves.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1104-1106
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• 1987

본 논문은 한글 자모 인식에 관한 새로운 방법을 제시한다. 본 연구는 한글패턴을 독립된 자소의 부분패턴으로 나누어서 특정점들(끝점, 7굴곡점, T굴곡점)을 추출하여 각 굴곡점에서 연결되는 점과의 벡터를 글자의 크기에 관계없도록 하기 위해 크기가 1인 단위벡터를 구한 후 이들의 합성벡터를 생성한다. 생성된 합성벡터들의 수, 벡터들이 지준축과 이루는 각, 그리고 특정점들의 수로부터 한글의 기본 자모를 분류하는 과정을 연구하였다. 입력된 한글패턴은 이미 세선화가 된 자모패턴으로 하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.3
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• pp.3-13
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• 1996

In orde to reduce huge memory requirements of multidimensional CMAC problems, building a CMAC system by problem decomposition is investigated. Decomposition is based on resolving a displacement vector in cartesian coordinates into unit vectors that define a few lower-dimensional CMACs in the CMAC system. A CMAC system for an an in verse kinematics problem for a planar manipulator was simulated and the performance of the system was evaluated in terms of training and output quality.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.377-380
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• 2003

A new color image segmentation scheme is presented in this paper. The proposed algorithm consists of image simplification, region labeling and color clustering. The vector-valued diffusion process is performed in the perceptually uniform LUV color space. We present a discrete 3-D diffusion model for easy implementation. The statistical characteristics of each labeled region are employed to estimate the number of total clusters and agglomerative hierarchical clustering is performed with the estimated number of clusters. Since the proposed clustering algorithm counts each region as a unit, it does not generate oversegmentation along region boundaries.

• Journal of the Korean Mathematical Society
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• v.40 no.3
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• pp.341-371
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• 2003

This article discusses in detail how the study of proper holomorphic rational mappings between balls in different dimensions relates to positivity conditions and to isometric imbedding of holomorphic bundles. The first chapter discusses rational proper mappings between balls; the second chapter discusses seven distinct positivity conditions for real-valued polynomials in several complex variables; the third chapter reveals how these issues relate to an isometric imbedding theorem for holomorphic vector bundles proved by the author and Catlin.