• The KIPS Transactions:PartB
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• v.12B no.7 s.103
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• pp.755-760
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• 2005

To transmit a video bit stream over low bandwith, such as mobile, channels, encoding algorithms for high bit rate like H.263+ are used. In transmitting video bit-streams, packet losses cause severe degradation in image quality. This paper proposes a new algorithm for the recovery of missing or erroneous motion vectors when H.263+ bit-stream is transmitted. Considering that the missing or erroneous motion vectors are closely related with those of neighboring blocks, this paper proposes a temporal-spatial error concealment algorithm. The proposed approach is that missing or erroneous Motion Vectors(MVs) are recovered by clustering the movements of neighboring blocks by their homogeneity. MVs of neighboring blocks we clustered according to ALA(Average Linkage Algorithm) clustering and a representative value for each cluster is determined to obtain the candidate MV set. By computing the distortion of the candidates, a MV with the minimum distortion is selected. Experimental results show that the proposed algorithm exhibits better performance in subjective and objective evaluation than existing methods.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.780-789
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• 2018

Nowadays, gun crimes occur very frequently not only in public places but in alleyways around the world. In particular, it is essential to detect a person armed by a pistol to prevent those crimes since small guns, such as pistols, are often used for those crimes. Because conventional works for armed person detection have treated an armed person as a single object in an input image, their accuracy is very low. The reason for the low accuracy comes from the fact that the gunman is treated as a single object although the pistol is a relatively much smaller object than the person. To solve this problem, we propose a novel algorithm called APDA(Armed Person Detection Algorithm). APDA detects the armed person using in a post-processing the positions of both wrists and the pistol achieved by the CNN-based human body feature detection model and the pistol detection model, respectively. We show that APDA can provide both 46.3% better recall and 14.04% better precision than SSD-MobileNet.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.8
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• pp.399-408
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• 2016

As entering the Big Data age, utilization of Big Data is also increasing in the intellectual property sector. Meanwhile, the purpose of a trademark which distinguishes the source of the goods essentially is to enable the public to recognize the goods. Big Data technologies which is recently becoming a issue can be used as a tool to judge consumer's awareness of the trademark. It was difficult for judgment of trademark awareness through traditional ways. As a new way, survey methodology has bee received attention, and it was applied to the field of trademark law. However, various problems such as cost, time, objectivity, and fairness were observed. In order to overcome theses limitations, this study proposes new way utilizing big data analytics for judgment on consumer's awareness of the trademark. This new way will not only contribute to enhancing the objectivity of judging trademark awareness but also utilized to support for related legal judgments.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.229-233
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• 2005

모집단의 최적군집 수를 자동으로 결정하고 군집내의 분산은 최소로 하고 군집 간의 분산은 최대로 하는 최적 군집화에 대한 연구는 대부분의 지능형 시스템에서 필요로 하는 모형전략이다. 하지만 아직도 대부분의 군집화 과정에서 분석가의 주관적인 경험에 의존하여 군집수가 결정되어 군집화가 이루어지고 있다. 예를 들어 K-평균 군집화 알고리즘에서도 초기에 K 값을 결정해 주어야 한다. 모집단을 제대로 대표하지 못한 K 값에 의한 군집화 결과는 심각한 오류를 범하게 된다. 본 논문에서는 통계적 학습이론을 이용하여 이러한 문제점을 해결하려고 하였다. VC-차원에 의한 Support Vector를 이용하여 최적의 군집화 기법을 제안하였다. 제안 방법의 성능 평가를 위하여 UCI 기계학습 데이터를 이용하여 객관적인 실험을 수행하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.151-154
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• 2009

IP(Internet Protocol)망을 이용한 IPTV가 활발하게 제공되고 있다. IPTV는 기존의 방송방법과는 다르게 대역폭에 제한 없이 서비스를 제공할 수 있다는 장점이 있다. 또한 통신 기능이 가능하므로 기존 방송에서 서비스 할 수 없었던 대화형 방송 등의 서비스가 가능해 졌다. 그러나 공용 통신망을 사용하므로 기존 방송에서는 문제가 되지 않았던 전송오류 문제가 발생할 수 있다. 사용자가 급격히 증가하거나 데이터가 폭주할 때, 방송 품질이 급격하게 열화 될 수 있으며, 이는 방송 서비스 상에서 문제를 일으킨다. 방송 서비스의 품질을 일정하게 유지하기 위해서는 IPTV서비스의 객관적인 모니터링이 필수적이며, 국내외 표준화 기관에서 IPTV 서비스의 품질 모니터링을 위한 표준화 작업이 진행되고 있다. 본 논문에서는 IPTV의 품질측정관련 표준을 검토하고 IPTV 서비스 상에서 사용자 품질을 측정할 수 있는 방법을 고찰한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.10
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• pp.1483-1494
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• 1993

Most studies analyse the frequecny polities intuitively based on the assumptin that there is no question in the frequency regulation by the government. But this paper started from the concept of frequency as economic goods. This paper conclude that frequency regulation by the government is needed to redistribute the economic surplus causing excessive demand. There are five methods in the frequency assignment-comparative healing, auction, lottery, Joint consortium and pioneer preference. The five methods are studied form the view of welfare economics and the respective political Implications are proposed in this paper.

• Clinical and Experimental Pediatrics
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• v.53 no.4
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• pp.579-584
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• 2010

Purpose : The number of the repatriated Korean students who had overseas study at early ages is increasing. They received foreign education, they can speak international languages, but they have many difficulties in articulation and intonation of the Korean language. This study aims to measure closure and aspiration duration, length of consonants, length of subsequent vowels, and ratio of consonants against subsequent vowels in vowel-consonant-vowel (VCV) syllables. Methods : This study compares the acoustic and phonetic characteristics of repatriated and native students, the ratio of articulation error of Korean plosives, the closure and aspiration duration, and the ratio of the aspiration duration against the closure duration. Results : The ratio of articulation error of Korean plosives between repatriated and native students is 19% and 2%, respectively. The closure duration was significantly longer in repatriated students than in native students. The aspiration duration was significantly longer in repatriated students than in native students. No difference was found in the ratio of aspiration duration against closure duration between the native and repatriated students. Conclusion : This study can be a good reference for estimating the phonetic difficulties of Korean elementary students who had overseas study at early ages.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.209-220
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• 2014

Compressive Sensing (CS) is a new signal acquisition paradigm which enables sampling under Nyquist rate for a special kind of signal called sparse signal. There are plenty of CS recovery methods but their performance are still challenging, especially at a low sub-rate. For CS recovery of natural images, regularizations exploiting some prior information can be used in order to enhance CS performance. In this context, this paper addresses improving quality of reconstructed natural images based on Dantzig selector and smooth filters (i.e., Gaussian filter and nonlocal means filter) to generate a new regularization called smooth residual error regularization. Moreover, total variation has been proved for its success in preserving edge objects and boundary of reconstructed images. Therefore, effectiveness of the proposed regularization is verified by experimenting it using augmented Lagrangian total variation minimization. This framework is considered as a new CS recovery seeking smoothness in residual images. Experimental results demonstrate significant improvement of the proposed framework over some other CS recoveries both in subjective and objective qualities. In the best case, our algorithm gains up to 9.14 dB compared with the CS recovery using Bayesian framework.

• Journal of Broadcast Engineering
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• v.14 no.3
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• pp.342-356
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• 2009

This paper presents a vote decision-based deinterlacing scheme for false directional error correction(VDD) to convert interlaced signal into non-interlaced signal using only one fields. The VDD using the vote decision goes through four steps process. The first step extracts regions having doubt of false edge using MM-ELA method. In these regions, the edge direction is decided by the majority vote using upper adjacent pixels's information through the second step. But, we still have undecided directions, which will be decided by the majority vote and the directional average decision at the third step. This step preserves the edge directions and minimizes visual degradation. Finally, the last step interpolates undecided pixels using DOI method which can consider the fine edge direction. Although the VDD with hierarchical structure has a high complexity, it can extract delicate edge compared to other pixel-by-pixel or window-by-window deinterlacing algorithms. Simulation results show that it has significantly improved both the subjective and objective qualities of the reconstructed images.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.277-277
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• 2020

연속 측정된 수위자료를 유량자료로 환산하는 방법중의 하나인 수위-유량관계곡선식은 국내에서 널리 사용된다. 현장에서 측정된 유량자료로 개발되는 수위-유량관계곡선식(이하 곡선식)은 일반적으로 측정성과의 정확도가 그 정도를 좌우하지만, 개발과정에서 개발자의 주관적인 판단에 의해 좌우되기도 한다. 정확한 곡선식을 개발하기 위해 개발자는 수리학적 특성(수위-${\sqrt{Q}}$, 수위-유속, 수위-단면적 등)을 검토하고, 수문학적 특성(상하류 관계, 유출분석 등)을 검토하여 최종 곡선식을 결정하게 된다. 이러한 여러 검토들 중에 수위-${\sqrt{Q}}$ 검토는 비록 정성적인 검토임에도 불구하고 곡선식의 구간분리, 기간분리, 성과의 이상유무, GZF(Gauge Height of Zero flow) 등을 확인할 수 있는 방법으로 실무에 많이 이용된다. 대부분의 곡선식은 측정성과를 기반으로 개발되어 내삽부분에서는 그 정확도가 상당히 높다고 할 수 있지만 외삽부분은 구간분리의 위치, GZF 등에 따라 큰 차이를 보일 수 있다. 그러나 기존의 수위-${\sqrt{Q}}$ 에 의한 정성적인 검토는 개발자의 숙련도에 따라 곡선식의 정확도가 좌우되는 경향이 있다. 본 연구에서는 수위-${\sqrt{Q}}$ 검토의 이론적 배경을 살펴보고 일본 곡선식의 사례를 응용하여 수위-${\sqrt{Q}}$ 검토의 정량화를 시도하였다. 또한 보다 객관적인 구간분리 위치 결정 및 GZF산정의 방법을 제시하여 개발과정에서의 오류를 최소화 할 수 있고 이는 정확한 유량자료의 생산으로 이어질 것으로 기대된다.