• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.12
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• pp.4489-4501
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• 2014

We propose a novel lane detection method based on classification in image sequences. Both structural and statistical features of the extracted bright shape are applied to the neural network for finding correct lane marks. The features used in this paper are shown to have strong discriminating power to locate correct traffic lanes. The traffic lanes detected in the current frame is also used to estimate the traffic lane if the lane detection fails in the next frame. The proposed method is fast enough to apply for real-time systems; the average processing time is less than 2msec. Also the scheme of the local illumination compensation allows robust lane detection at nighttime. Therefore, this method can be widely used in intelligence transportation systems such as driver assistance, lane change assistance, lane departure warning and autonomous vehicles.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.8
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• pp.736-741
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• 2001

The restoration optimum image from transformation image demands compound change of image change, calender reform, and multiple solution calculation. This study presents that system actively deal with outside interference, vibration, movement, mechanical feature on the operating or before the operating and avoids complicated mathematical numerical expression and revise based on expert knowledge based which applies Fuzzy Logic which is one of Artificial Intelligent technique.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.4
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• pp.181-186
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• 2011

In this paper, we propose the Noise Cancel DTW that to use a kind of feature compensation. This method is not to use estimated noise but we use real life environment noise data for Voice Recognition. And we applied this contaminated data for recognition reference model that suitable for noise environment. NCDTW is combined with surround noise when generating reference patten. We improved voice recognition rate at mobile environment to use NCDTW.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.663-666
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• 2003

이 논문에서는 특징점 정보를 이용한 세선화 보정 알고리즘에 대하여 연구하였다. 세선화된 지문에서 교차수를 이용하여 추출된 특징점으로부터 세선화 보정을 수행하였다. 세선화 보정 과정은 특징점인 단점과 분기점을 시작점으로 하여 융선을 추적하면서 불필요한 융선을 제거해 나가는 방법으로 더 이상 제거할 융선이 없을 때까지 반복하여 처리한다. 세선화 보정이 끝나면 CN과 SN을 이용하여 특징점을 재추출하였다. 기존의 세선화된 지문으로부터 추출된 특징점과 제안한 세선화 보정 알고리즘으로부터 추출된 특징점을 비교하였다. 이 비교를 통하여 기존방법보다 세선화 지문이 개선되고 많은 의사 특징점들이 제거되었음을 알 수 있었다.

• Proceedings of the KSPS conference
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• 2003.05a
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• pp.115-118
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• 2003

Channel distortion and coarticulation effect in the connected digit telephone speech make it difficult to recognize, and degrade recognition performance in the telephone environment. In this paper, as a basic research to improve the recognition performance of Korean connected digit telephone, error patterns are investigated and analyzed. Telephone digit speech database released by SITEC with HTK system is used for recognition experiments. Both DWFBA and MRTCN methods are used for feature extraction and channel compensation, respectively. Experimental results are discussed with our findings.

• MALSORI
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• no.60
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• pp.145-164
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• 2006

This paper proposes class histogram equalization (CHEQ) to compensate noisy acoustic features for robust speech recognition. CHEQ aims to compensate for the acoustic mismatch between training and test speech recognition environments as well as to reduce the limitations of the conventional histogram equalization (HEQ). In contrast to HEQ, CHEQ adopts multiple class-specific distribution functions for training and test environments and equalizes the features by using their class-specific training and test distributions. According to the class-information extraction methods, CHEQ is further classified into two forms such as hard-CHEQ based on vector quantization and soft-CHEQ using the Gaussian mixture model. Experiments on the Aurora 2 database confirmed the effectiveness of CHEQ by producing a relative word error reduction of 61.17% over the baseline met-cepstral features and that of 19.62% over the conventional HEQ.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1343-1345
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• 2022

본 논문에서는 다해상도 피라미드 피처 맵 압축 손상 보상 방법을 제안한다. 본 논문에서 제안하는 방법은 패킹된 C-레이어 피처 맵을 비디오 코덱으로 압축할 때, 저해상도 계층의 원본 피처 맵과 복원된 피처 맵 간의 차분 값을 구해 이를 고해상도 계층의 피처 맵에 더해줌으로써 부호화 과정에서 발생하는 오차를 보상하는 방법이다. 본 논문에서 제안하는 방법의 성능을 평가하기 위하여 OpenImageV6 데이터셋 중 1000 장에 대해 객체 검출 성능을 평가하였다. 본 논문에서 제안하는 피처 맵 압축 방법은 C-레이어 피처 맵 압축 방법 대비 bpp 와 mAP 의 BD-rate 관점에서 35.10%의 성능 향상을 보인다.

• Journal of Sensor Science and Technology
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• v.33 no.5
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• pp.373-377
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• 2024

To increase the sensitivity of film-type level sensors for water-level measurements, a Wheatstone bridge comprising a half-bridge circuit with a new film-type level sensor design containing four resistors and two electrodes was employed. The proposed film-type level sensor included a temperature compensation feature and demonstrated improved sensitivity owing to a two-fold increase in the voltage output. Furthermore, a repetition error of less than 1.0% was observed for water levels. As the change in resistance varied linearly with the water level, a linear function was derived to represent their relation. Using this derived formula, water level measurements that were twice as precise as those yielded by commercial products were achieved.

• Journal of Broadcast Engineering
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• v.19 no.6
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• pp.896-906
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• 2014

In this paper, a real-time dual-mode temporal synchronization and compensation method based on a new reliability measure in stereoscopic video is proposed. The goal of temporal alignment is to detect the temporal asynchrony and recover synchronization of the two video streams. The accuracy of the temporal synchronization algorithm depends on the 3DTV contents. In order to compensate the temporal synchronization error, it is necessary to judge whether the result of the temporal synchronization is reliable or not. Based on our recently developed temporal synchronization method[1], we define a new reliability measure for the result of the temporal synchronization method. Furthermore, we developed a dual-mode temporal synchronization method, which uses a usual texture matching method and the temporal spatiogram method[1]. The new reliability measure is based on two distinctive features, a dynamic feature for scene change and a matching distinction feature. Various experimental results show the effectiveness of the proposed method. The proposed algorithms are evaluated and verified through an experimental system implemented for 3DTV.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.6
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• pp.661-667
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• 2011

Kinematic contact trigger probes are widely used for feature inspection and measurement on coordinate measurement machines (CMMs) and computer numerically controlled (CNC) machine tools. Recently, the probing accuracy has become one of the most important factors in the improvement of product quality, as the accuracy of such machining centers and measuring machines is increasing. Although high-accuracy probes using strain gauge can achieve this requirement, in this paper we study the universal economic kinematic contact probe to prove its probing mechanism and errors, and to try to make the best use of its performance. Stylus-ball-radius and center-alignment errors are proved, and the probing error mechanism on the 3D measuring coordinate is analyzed using numerical expressions. Macro algorithms are developed for the compensation of these errors, and actual tests and verifications are performed with a kinematic contact trigger probe and reference sphere on a CNC machine tool.