• Title/Summary/Keyword: KiK-net

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Site responses of Japanese stations near the epicenter and Korean stations for the Fukuoka earthquake (후쿠오카 지진('05. 3. 20, $M_{JMA}=7.0$)에 대한 일본 인근 지진관측소와 국내 지진관측소의 주파수응답특성 비교)

  • Yun Kwan-Hee;Park Dong-Hee;Chang Chun-Jung;Choi Weon-Hack;Lee Dae-Soo
    • 한국지구물리탐사학회:학술대회논문집
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    • 2005.05a
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    • pp.79-86
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    • 2005
  • The apparent source spectrum of the Fukuoka earthquake is estimated at the seismic basement by removing from the observed spectra at Korean seismic stations the path and site responses that were previously revealed through inversion process applied to large spectral D/B accumulated until 2004. The approximate source spectrum is also estimated by using data recorded near the epicenter from various Japanese seismic networks and compared with the Korean source spectrum. The comparison result shows that there is good agreement among source spectra estimated based on the data from seismic networks of Korea at large distances (190km

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Site Responses of Japanese Stations Near the Epicenter and Korean Stations for the Fukuoka Earthquake (후쿠오카 지진 ('05. 3. 20, $M_{JMA}=7.0$)에 대한 일본 인근 지진관측소와 국내 지진관측소의 주파수응답특성 비교)

  • Yun, Kwan-Hee;Park, Dong-Hee;Chang, Chun-Jung;Choi, Weon-Hack;Lee, Dae-Soo
    • Journal of the Korean Geophysical Society
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    • v.8 no.1
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    • pp.15-21
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    • 2005
  • The apparent source spectrum of the Fukuoka earthquake is estimated at the seismic basement by removing from the observed spectra at Korean seismic stations the path and site responses that were previously revealed through inversion process applied to large spectral D/B accumulated until 2004. The approximate source spectrum is also estimated by using data recorded near the epicenter from various Japanese seismic networks and compared with the Korean source spectrum. The comparison result shows that there is good agreement among source spectra estimated based on the data from seismic networks of Korea at large distances (190 km

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Wave shape analysis of seismic records at borehole of TTRH02 and IWTH25 (KiK-net)

  • Kamagata, Shuichi
    • Earthquakes and Structures
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    • v.18 no.3
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    • pp.297-312
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    • 2020
  • The KiK-net by NIED is a vertical array measurement system. In the database of KiK-net, singular pulse waves were observed in the seismic record at the borehole of TTRH02 during the mainshock (the magnitude of Japan Meteorological Agency (MJ) 7.3, MW 6.8) and aftershock (Mj 4.2) of Tottori-ken Seibu earthquake in 2000. Singular pulse waves were also detected in the seismic records at the borehole of IWTH25 during the Iwate-Miyagi Nairiku earthquake in 2008 (MJ 7.2, MW 6.9). These pulse waves are investigated by using the wave shape analysis methods, e.g., the non-stationary Fourier spectra and the double integrated displacement profiles. Two types of vibration modes are discriminated as the occurrence mechanism of the singular pulse waves. One corresponds to the reversal points in the displacement profile with the amplitude from 10-4 m to 10-1 m, which is mainly related to the fault activity and the amplification pass including the mechanical amplification (collision) of the seismograph in the casing pipe. The other is the cyclic pulse waves in the interval of reversal points, which is estimated as the backlash of the seismograph itself with the amplitude from 10-5 m to 10-4 m.

Using WordNet for the Automatic Construction of Korean Thesaurus (WordNet을 이용한 한국어 시소러스 자동 구축)

  • Lee, Chang-Ki;Lee, Geun-Bae
    • Annual Conference on Human and Language Technology
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    • 1999.10e
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    • pp.156-163
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    • 1999
  • 최근의 자연어 처리 분야의 연구들에서 광범위하고 완전한 어휘 지식 베이스의 필요성이 입증되었다. 영어권의 경우, 이에 대한 연구가 오래 전부터 있어 왔고, 그 결과로 현재 주로 사용되고 있는 개념체계에는 Roget's Thesaurus와 WordNet 등이 있다. 이러한 개념체계들은 자연어 처리의 여러 응용 분야에서 중요한 역할을 담담하고 있지만, 다른 언어의 경우 널리 사용되고 있는 개념체계가 없는 실정이다. 본 논문에서는 Princeton 대학의 WordNet을 기반으로 한영 사전과 국어 사전을 이용하여 한국어 명사의 개념체계를 자동으로 구축함으로써, 이미 구축되어진 다른 언어의 개념체계를 이용하여 새로운 언어의 개념체계를 자동으로 구축할 수 있음을 보인다. 먼저 한영 사전과 국어 사전으로부터 뽑아낸 한국어 단어 일부의 의미를 다양한 WSD(Word Sense Disambiguation) 방법을 적용시켜 WordNet의 synset에 자동으로 연결시킬 수 있음을 보인다. 그리고 각각의 자동변환으로 나온 결과들에 대해서 적용율과 정확도를 비교하도록 한다.

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Development of Novel Net Hauler for Improved Washing of Fishing Nets (어업용 그물 세척 효율 향상을 위한 그물 세척용 양망기 개발)

  • Choi, Deok-Ki;Kim, Yong-Young
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.11
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    • pp.1779-1784
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    • 2010
  • Net washing in a fishery involves considerable labor and is a time-consuming process; it also causes severe environmental pollution. In this study, we developed a net hauler for washing fishing nets. This hauler can be used to simultaneously haul and wash the net. We devised the revolver structure of the net hauler in order to resolve the net slip problem. The net hauler can be used by itself for washing small-sized nets, or it can be used in an auxiliary washing step in case of a large-sized net. Further, the component installed in the net hauler for unraveling the net improves the net washing performance of an automatic net washer. During the experiments conducted using the prototypes of the new net hauler, the net did not slip and the desired washing performance could be achieved.

Convolutional Neural Networks for Character-level Classification

  • Ko, Dae-Gun;Song, Su-Han;Kang, Ki-Min;Han, Seong-Wook
    • IEIE Transactions on Smart Processing and Computing
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    • v.6 no.1
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    • pp.53-59
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    • 2017
  • Optical character recognition (OCR) automatically recognizes text in an image. OCR is still a challenging problem in computer vision. A successful solution to OCR has important device applications, such as text-to-speech conversion and automatic document classification. In this work, we analyze character recognition performance using the current state-of-the-art deep-learning structures. One is the AlexNet structure, another is the LeNet structure, and the other one is the SPNet structure. For this, we have built our own dataset that contains digits and upper- and lower-case characters. We experiment in the presence of salt-and-pepper noise or Gaussian noise, and report the performance comparison in terms of recognition error. Experimental results indicate by five-fold cross-validation that the SPNet structure (our approach) outperforms AlexNet and LeNet in recognition error.

CONTRIBUTION OF NUCLEAR POWER TO THE NATIONAL ECONOMIC DEVELOPMENT IN KOREA

  • Lee, Man-Ki;Nam, Kee-Yung;Jeong, Ki-Ho;Min, Byung-Joo;Jung, Young-Eek
    • Nuclear Engineering and Technology
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    • v.41 no.4
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    • pp.549-560
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    • 2009
  • Over the last three decades, nuclear technology development has played a vital role in the socio-economic development of the Republic of Korea. This study, being the first of its kind, focuses on quantifying the actual economic contribution of nuclear technologies to economic development by evaluating the net benefit of the nuclear power with respect to the country's Gross Domestic Product (GDP). An input-output analysis was employed as a methodological approach to analyze inter-industrial economic activities by calculating the industrial value added as a means of the economic contribution during the period of 1980 to 2005. The industrial value added of nuclear technologies was estimated from the construction and operation of nuclear power (backward-linked industrial value added) and from the industrial activities attributed to the electricity generated by the nuclear power (forward-linked industrial value added). It was found that the total net contribution of nuclear technologies as a percentage share of GDP amounted to 2.38% in 2005.

Feature Extraction on a Periocular Region and Person Authentication Using a ResNet Model (ResNet 모델을 이용한 눈 주변 영역의 특징 추출 및 개인 인증)

  • Kim, Min-Ki
    • Journal of Korea Multimedia Society
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    • v.22 no.12
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    • pp.1347-1355
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    • 2019
  • Deep learning approach based on convolution neural network (CNN) has extensively studied in the field of computer vision. However, periocular feature extraction using CNN was not well studied because it is practically impossible to collect large volume of biometric data. This study uses the ResNet model which was trained with the ImageNet dataset. To overcome the problem of insufficient training data, we focused on the training of multi-layer perception (MLP) having simple structure rather than training the CNN having complex structure. It first extracts features using the pretrained ResNet model and reduces the feature dimension by principle component analysis (PCA), then trains a MLP classifier. Experimental results with the public periocular dataset UBIPr show that the proposed method is effective in person authentication using periocular region. Especially it has the advantage which can be directly applied for other biometric traits.

Java Bytecode-to-.NET MSIL IL Translator (자바 바이트코드의 .NET MSIL 중간언어 번역기)

  • Jung, Ji-Hoon;Park, Jin-Ki;Lee, Yang-Sun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.11b
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    • pp.663-666
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    • 2003
  • 자바는 썬 마이크로시스템즈사의 제임스 고슬링(James Gosling)에 의해 고안된 언어로 운영체제 및 하드웨어 플랫폼에 독립적인 차세대 언어로 최근에 가장 널리 사용하는 범용 프로그래밍 언어 중 하나이다. 자바 프로그램은 컴파일러에 의해 각 플랫폼에 독립적인 중간 코드 형태의 바이트코드로 변환된 클래스 파일로 생성되면 JVM(Java Virtual Machine)에 의해 실행된다. 마이크로소프트사의 .NET 플랫폼과 C# 언어는 프로그래머들의 요구를 충족시키고 썬사의 JVM 환경과 자바 언어에 대응하기 위해서 개발된 플랫폼과 언어이다. C#과 같은 .NET 언어는 컴파일러에 의해 MSIL(MicroSoft Intermediate Language) 코드로 번역되며 번역된 MSIL 코드는 .NET 플랫폼 환경에서 런타임 엔진인 CLR(Common Language Runtime)에 의해 실행이 된다. 자바로 작성된 프로그램은 JVM 플랫폼에서는 실행이 되지만 .NET 플랫폼에서 실행이 되지 않고, 반대로 C#과 같은 .NET 언어로 작성된 프로그램은 .NET 플랫폼에서는 실행이 되지만 JVM 플랫폼에서 실행이 되지 않는다. 이런 이유로 본 논문에서는 자바소스를 컴파일하여 생성된 클래스 파일에서 Oolong 코드를 생성하고 생성된 Oolong 코드를 .NET의 MSIL 코드로 변환하여 자바로 구현된 프로그램이 .NET 환경에서 실행되도록 하는 Bytecode-to-MSIL 번역기 시스템을 구현하였다. 따라서, 자바 프로그래머는 JVM이나 .NET 플랫폼 환경에 관계없이 프로그램을 작성하여 실행시킬 수 있다. 번역기 시스템의 구현을 정형화하기 위해 Oolong 코드의 명령어들을 문법으로 작성하였으며, PGS를 통해 생성된 어휘 정보를 가지고 스캐너를 구성하였으며, 파싱테이블을 가지고 파서를 설계하였다. 파서의 출력으로 AST가 생성되면 번역기는 AST를 탐색하면서 의미적으로 동등한 MSIL 코드를 생성하도록 시스템을 컴파일러 기법을 이용하여 모듈별로 구성하였다.

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Effect of Cigarette Design and Physical Variance on the Combustibility, Pressure Drop and Smoke Ingredient (궐련의 형태와 물리성 변화에 의한 연소성, 흡인저항 및 연기성분의 변화)

  • Kim, Cheon-Suk;An, Key-Young;Kim, Ki-Hwan
    • Journal of the Korean Society of Tobacco Science
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    • v.17 no.2
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    • pp.170-176
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    • 1995
  • Effect of circumference, net weight, and moisture content on the physicochemical propesties of cigarette were investigated. At the same net weight of cigarette, the pressure drop(E.P.D) of cigarette was increased as the circumference was decreased. Loseend and firmness were improved by reduction of circumference. In this condition, tar, nicotine, and carbon monoxide deliveries were decreased, and the puff count was significantly increased. When the moisture content of the cigarette were decreased, firmness and loseend were increased. Also in this condition nicotine and carbon monoxide tend to be increased. Key words : cigarette design, circumference, net weight.

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