• Proceedings of the KSRS Conference
• /
• 1999.11a
• /
• pp.70-74
• /
• 1999

Remote sensing (RS) data show the surfaces of the earth only but cannot provide the shape data of building sides. The proposed method recovers a 3D shape of building sides from stereo images. Its result shows a higher possibility for recovering a large shaped object by overcoming the difficulties of traditional stereo matching techniques. The urban area will be visualized more realistically than the current model based on graphic and vector data.

• The Transactions of the Korean Institute of Electrical Engineers B
• /
• v.53 no.5
• /
• pp.344-350
• /
• 2004

This paper proposes the train control system for the LRT(light rail transit). With regard to information processing in car, we build a computer network in the car, turned the hardware required for train control into software, and developed the train control monitoring system(TCMS) and ATC. Drive type of train control system car can drive with driverless mode basically, and this paper applied special communication type for car control, data analysis, the propulsion efforts and breaking effort can control the cars. It is used vector control in propulsion control and proposed operating pattern for propulsion control thinking operating data of rubber tire LRT.

• Journal of Information Processing Systems
• /
• v.4 no.2
• /
• pp.67-76
• /
• 2008

This research proposes a new strategy where documents are encoded into string vectors and modified version of k means algorithm to be adaptable to string vectors for text clustering. Traditionally, when k means algorithm is used for pattern classification, raw data should be encoded into numerical vectors. This encoding may be difficult, depending on a given application area of pattern classification. For example, in text clustering, encoding full texts given as raw data into numerical vectors leads to two main problems: huge dimensionality and sparse distribution. In this research, we encode full texts into string vectors, and modify the k means algorithm adaptable to string vectors for text clustering.

• Journal of the Korean Data and Information Science Society
• /
• v.17 no.4
• /
• pp.1279-1287
• /
• 2006

The purpose of this paper is to present a new algorithm for extracting the consensus pattern, or motif from sequence belonging to the same family. Two methods are considered for feature interval partitioning based on equal probability and equal width interval partitioning. C2H2 zinc finger protein and epidermal growth factor protein sequences are used to demonstrate the effectiveness of the proposed algorithm for motif extraction. For two protein families, the equal width interval partitioning method performs better than the equal probability interval partitioning method.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.6 no.3
• /
• pp.189-194
• /
• 2013

In this paper, chord progress pattern of popular music is analyzed, and based on this optimal chord pattern, bit matrix of melody information is used for the input vector of neural network. Experimental result showed that possibility of computer composition based on neural network is verified. With regard to some given melody, by making use of proposed method, it is also possible to reconstruct the various melody.

• Journal of Korea Multimedia Society
• /
• v.18 no.11
• /
• pp.1302-1312
• /
• 2015

Recent research has been devoted and focused on detecting pedestrian and vehicle in intelligent vehicles except for the vulnerable road user(VRUS). In this paper suggest a new projection method which has robustness for rotation invariant and reducing dimensionality for each cell from original image to detect two-wheeler. We applied new weighting values which are calculated by maximum curvature containing very important object shape features and uniform local binary pattern to remove the noise. This paper considered the Adaboost algorithm to make a strong classification from weak classification. Experiment results show that the new approach gives higher detection accuracy than of the conventional method.

• Journal of Korea Multimedia Society
• /
• v.13 no.6
• /
• pp.817-824
• /
• 2010

Linear Discriminant Analysis (LDA) has been successfully applied for dimension reduction in face recognition. However, LDA requires the transformation of a face image to a one-dimensional vector and this process can cause the correlation information among neighboring pixels to be disregarded. On the other hand, 2D-LDA uses 2D images directly without a transformation process and it has been shown to be superior to the traditional LDA. Nevertheless, there are some problems in 2D-LDA. First, it is difficult to determine the optimal number of feature vectors in a reduced dimensional space. Second, the size of rectangular windows used in 2D-LDA makes strong impacts on classification accuracies but there is no reliable way to determine an optimal window size. In this paper, we propose a new algorithm to overcome those problems in 2D-LDA. We adopt an ensemble approach which combines several classifiers obtained by utilizing various window sizes. And a practical method to determine the number of feature vectors is also presented. Experimental results demonstrate that the proposed method can overcome the difficulties with choosing an optimal window size and the number of feature vectors.

• Journal of Korea Multimedia Society
• /
• v.21 no.10
• /
• pp.1131-1141
• /
• 2018

Motion Estimation which is used to reduce the redundant data plays an important role in video compressions. However, it requires huge computational complexity of the encoder part. And therefore many fast motion estimation methods has been developed to reduce complexity. Multi-view video is obtained by using many cameras at different positions and its complexity increases in proportion to the number of cameras. In this paper, we proposed a fast motion estimation method for multi-view video. The proposed method predicts a search start point by using correlated candidate vectors of the current block. According to the motion size of the start search point, a search start pattern of the current block is decided adaptively. The proposed method proves to be about 2 ~ 5 times faster than existing methods while maintaining similar image quality and bitrates.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.15 no.9
• /
• pp.764-774
• /
• 1990

In this paper, make a study on comparison of adaptive filters for predictor characteristics that transversal, lattice, and joint process lattice filter is using the LMS algorithm that is simple structure and pracotical application is easy. The theoical background and structure of each adaptive filters exhibit for practical design. Adaptive convergence condition for optimal weight vector and optimal reflection coefficient make clear, and it is also shown through computer simulation. The error signals and noise characteristics of these filters make a comparative study. In view of the results, joint process lattice filter is shown that most superior characteristic in these adaptie filters.

• Proceedings of the KIEE Conference
• /
• 2003.04a
• /
• pp.382-387
• /
• 2003

This paper proposes the Train Control System for the LRT(light rail transit). With regard to information processing in car, we build a computer network in the car, turned the hardware required for train control into software, and developed the Train Control Monitoring System(TCMS) and ATC. Drive Type of Train control system car can drive with Driverless mode basically, and this paper applied 10Mbps special communication type for car control, data analysis, The propulsion efforts and breaking effort can control the cars. It is used Vector Control in Propulsion control and proposed Operating pattern for Propulsion control thinking Operating data of Rubber Tire LRT.