• Title/Summary/Keyword: 부분 가능도 함수

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Petrology and Geochemistry of Jurassic Daejeon and Nonsan Granitoids in the Ogcheon Fold Belt, Korea (옥천(沃川) 변성대(變成帶)에 분포하는 쥬라기(紀) 대전(大田) 및 논산(論山) 화강암류(花崗岩類)의 암석지화학적(岩石地化學的) 연구(硏究))

  • Hong, Young Kook
    • Economic and Environmental Geology
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    • v.17 no.3
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    • pp.179-195
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    • 1984
  • The Jurassic Daejeon and Nonsan granitoids are "S-type" syntectonic calc-alkaline two-mica monzogranite and granodiorite, respectively. With evidences of high CaO, $Al_2O_3$, LIL/HFS elements, total REE, (Ce/Yb)N and initial ($^{87}Sr/^{88}Sr$) ratio, and no significant Eu anomaly, the primary magmas for the Daejeon and Nonsan granitic rocks are derived from partial melting of the Precambrian granulite (e.g. grey gneisses). But those Jurassic granitoids crystallised from different chemical characteristics of parental magmas which is mainly due to varying degree of partial melting of the granulite (crustal anatexis). The absence of significant anomalous Eu($Eu/Eu^*=O.82{\sim}1.00$) in the Daejeon and Nonsan granitoids could indicate that feldspars, mainly plagioclase, did not separate from the magmas. The parental hydrous magmas could not rise appreciably above their source region before crystallisation. The Jurassic granitoids may be resulted by closing-collision situation and belong to the Hercynotype (Pitcher 1979) such as compressive ductile regime of an intracontinental orogen.

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Analysis of Containment Building Subjected to a Large Aircraft Impact using a Hydrocode (Hydrocode를 이용한 격납구조의 대형 민항기 충돌해석)

  • Shin, Sang Shup;Park, Taehyo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.5A
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    • pp.369-378
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    • 2011
  • In this paper, the response analysis of RC(Reinforced Concrete), SC(Steel-Plate Concrete) containment buildings subjected to a large aircraft impact is performed using Autodyn-3D as Hydrocode. Until now, the impact load in the analysis of aircraft impacts has been applied to target structures at the local area by using the impact load-time history function of Riera. However in this paper, the results of aircraft crash are analyzed by using an aircraft model similar to Boeing 767 and verified by comparing the generated history of the aircraft crash against the rigid target with another history by using the Riera's function. To estimate the resistivity of the impact, the response and safety of SC containment buildings, this study is performed by comparing the four cases of plane concrete, reinforced concrete, bonded containment liner plate at reinforced concrete, and SC structure. Thus, the different behaviors between SC and RC structures when they are subjected to the extreme impact load could be anticipated. Consequently, the improved safety is expected by replacing RC structure with SC structure for nuclear power plants.

Super Resolution based on Reconstruction Algorithm Using Wavelet basis (웨이브렛 기저를 이용한 초해상도 기반 복원 알고리즘)

  • Baek, Young-Hyun;Byun, Oh-Sung;Moon, Sung-Ryong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.1
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    • pp.17-25
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    • 2007
  • In most electronic imaging applications, image with high resolution(HR) are desired. HR means that pixel density within an image is high, and therefore HR image can offer more details that may be critical in various applications. Digital images that are captured by CCD and CMOS cameras usually have a very low resolution, which significantly limits the performance of image recognition systems. Image super-resolution techniques can be applied to overcome the limits of these imaging systems. Super-resolution techniques have been proposed to increase the resolution by combining information from multiple images. To techniques were consisted of the registration algorithm for estimation and shift, the nearest neighbor interpolation using weight of acquired frames and presented frames. In this paper, it is proposed the image interpolation techniques using the wavelet base function. This is applied to embody a correct edge image and natural image when expend part of the still image by applying the wavelet base function coefficient to the conventional Super-Resolution interpolation method. And the proposal algorithm in this paper is confirmed to improve the image applying the nearest neighbor interpolation algorithm, bilinear interpolation algorithm.,bicubic interpolation algorithm through the computer simulation.

Synthesis and Characteristics of Partially Fluorinated Poly(vinylidene fluroide)(PVDF) Cation Exchange Membrane via Direct Sulfonation (직접술폰화반응에 의한 부분불소화 Poly(vinylidene fluroide)(PVDF) 양이온교환막의 합성 및 특성)

  • Kang, Ki Won;Hwang, Taek Sung
    • Membrane Journal
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    • v.25 no.5
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    • pp.406-414
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    • 2015
  • In this study, partially fluorinated cation exchange membranes were prepared by direct sulfonation of Poly(VDF-co-hexafluoropropylene) copolymers (PVDF-co-HFP) followed by a casting method for application in the Membrane capacitive deionization (MCDI). The structure of sulfonated PVDF-co-HFP (SPVDF) was confirmed by Fourier-transform infrared (FT-IR) and $^1H$ Nuclear magnetic resonance ($^1H$ NMR) analysis. For quantitative analysis of the chemical composition, the X-ray Photoelectron Spectroscopy (XPS) was used. The membrane properties such as water uptake, ion exchange capacity and electrical resistance were measured. It was suggested that the optimum direct sulfonation condition of PVDF-co-HFP ion exchange membranes was $60^{\circ}C$ and 7 hours for temperature and duration of sulfonation, respectively. The water uptake of the SPVDF ion exchange membrane was 21.5%. The ion exchange capacity and electrical resistance were 0.89 meq/g and $3.70{\Omega}{\cdot}cm^2$, respectively. It was investigated that if it is feasible to apply these membranes in MCDI at various cell potentials (0.9~1.5 V) and initial flow rates (10~40 mL/min). In the MCDI process, the maximum salt removal rate was 62.5% in repeated absorption-desorption cycles.

Design of an Effective Deep Learning-Based Non-Profiling Side-Channel Analysis Model (효과적인 딥러닝 기반 비프로파일링 부채널 분석 모델 설계방안)

  • Han, JaeSeung;Sim, Bo-Yeon;Lim, Han-Seop;Kim, Ju-Hwan;Han, Dong-Guk
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.6
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    • pp.1291-1300
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    • 2020
  • Recently, a deep learning-based non-profiling side-channel analysis was proposed. The deep learning-based non-profiling analysis is a technique that trains a neural network model for all guessed keys and then finds the correct secret key through the difference in the training metrics. As the performance of non-profiling analysis varies greatly depending on the neural network training model design, a correct model design criterion is required. This paper describes the two types of loss functions and eight labeling methods used in the training model design. It predicts the analysis performance of each labeling method in terms of non-profiling analysis and power consumption model. Considering the characteristics of non-profiling analysis and the HW (Hamming Weight) power consumption model is assumed, we predict that the learning model applying the HW label without One-hot encoding and the Correlation Optimization (CO) loss will have the best analysis performance. And we performed actual analysis on three data sets that are Subbytes operation part of AES-128 1 round. We verified our prediction by non-profiling analyzing two data sets with a total 16 of MLP-based model, which we describe.

A Multi-thresholding Approach Improved with Otsu's Method (Otsu의 방법을 개선한 멀티 스래쉬홀딩 방법)

  • Li Zhe-Xue;Kim Sang-Woon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.5 s.311
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    • pp.29-37
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    • 2006
  • Thresholding is a fundamental approach to segmentation that utilizes a significant degree of pixel popularity or intensity. Otsu's thresholding employed the normalized histogram as a discrete probability density function. Also it utilized a criterion that minimizes the between-class variance of pixel intensity to choose a threshold value for segmentation. However, the Otsu's method has a disadvantage of repeatedly searching optimal thresholds for the entire range. In this paper, a simple but fast multi-level thresholding approach is proposed by means of extending the Otsu's method. Rather than invoke the Otsu's method for the entire gray range, we advocate that the gray-level range of an image be first divided into smaller sub-ranges, and that the multi-level thresholds be achieved by iteratively invoking this dividing process. Initially, in the proposed method, the gray range of the object image is divided into 2 classes with a threshold value. Here, the threshold value for segmentation is selected by invoking the Otsu's method for the entire range. Following this, the two classes are divided into 4 classes again by applying the Otsu's method to each of the divided sub-ranges. This process is repeatedly performed until the required number of thresholds is obtained. Our experimental results for three benchmark images and fifty faces show a possibility that the proposed method could be used efficiently for pattern matching and face recognition.

A Novel Spectral Analysis of Ultrashort Laser Pulses Using Class-2 PRS Model (Class-2 PRS 모델을 이용한 극초단레이져펄스의 스펙트럼 분석)

  • 전진성;조형래;오용선
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1999.11a
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    • pp.177-183
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    • 1999
  • In this paper, we analyze transmission characteristics of ultrashort laser pulses using the property of Raised-cosine pulse which are systematically obtained following Class-2 PRS model. The high-order pulses are easily derived front a modified PRS system model as Class-1 PRS model. This may be based on the fact that the spectra and bandwidths of the high-order pulses are beautifully related to their orders. And we make clear they are very useful to cover wider area and more accurate transmission characteristics of ultrashort pulses than Gaussian or Sech pulse approximations used conventionally. First modifying the generalized PRS system model, we propose a new model for deriving any type of high-order pulse. And we offer a novel analysis method of ultrashort pulse transmission which has any shape and FWHM, using the proposed model. In addition, by fixing the pulse range $\tau$=1(ps) and varying the order of the pulse from n=1 to n=100, we obtain spectra of ultrashort pulses with 1(ps)-100(fs) FWHM's, and width of FWHM in the Class-2 PRS model 50~100(fs) smaller than Class-1 PRS model. As a one-step further, we derive PSD's of their pulse trains when they are applied to Unipolar signaling scheme. These PSD's are derided in the range of possible pulse intervals. All of these results are not only coincided with some conventional experimental works but also will to applied to any pioneering ultrashort pulse in the future.

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Illuminant Chromaticity Estimation via Optimization of RGB Channel Standard Deviation (RGB 채널 표준 편차의 최적화를 통한 광원 색도 추정)

  • Subhashdas, Shibudas Kattakkalil;Yoo, Ji-Hoon;Ha, Yeong-Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.6
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    • pp.110-121
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    • 2016
  • The primary aim of the color constancy algorithm is to estimate illuminant chromaticity. There are various statistical-based, learning-based and combinational-based color constancy algorithms already exist. However, the statistical-based algorithms can only perform well on images that satisfy certain assumptions, learning-based methods are complex methods that require proper preprocessing and training data, and combinational-based methods depend on either pre-determined or dynamically varying weights, which are difficult to determine and prone to error. Therefore, this paper presents a new optimization based illuminant estimation method which is free from complex preprocessing and can estimate the illuminant under different environmental conditions. A strong color cast always has an odd standard deviation value in one of the RGB channels. Based on this observation, a cost function called the degree of illuminant tinge(DIT) is proposed to determine the quality of illuminant color-calibrated images. This DIT is formulated in such a way that the image scene under standard illuminant (d65) has lower DIT value compared to the same scene under different illuminant. Here, a swarm intelligence based particle swarm optimizer(PSO) is used to find the optimum illuminant of the given image that minimizes the degree of illuminant tinge. The proposed method is evaluated using real-world datasets and the experimental results validate the effectiveness of the proposed method.

Development of a Spectrum Analysis Software for Multipurpose Gamma-ray Detectors (감마선 검출기를 위한 스펙트럼 분석 소프트웨어 개발)

  • Lee, Jong-Myung;Kim, Young-Kwon;Park, Kil-Soon;Kim, Jung-Min;Lee, Ki-Sung;Joung, Jin-Hun
    • Journal of radiological science and technology
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    • v.33 no.1
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    • pp.51-59
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    • 2010
  • We developed an analysis software that automatically detects incoming isotopes for multi-purpose gamma-ray detectors. The software is divided into three major parts; Network Interface Module (NIM), Spectrum Analysis Module (SAM), and Graphic User Interface Module (GUIM). The main part is SAM that extracts peak information of energy spectrum from the collected data through network and identifies the isotopes by comparing the peaks with pre-calibrated libraries. The proposed peak detection algorithm was utilized to construct libraries of standard isotopes with two peaks and to identify the unknown isotope with the constructed libraries. We tested the software by using GammaPro1410 detector developed by NuCare Medical Systems. The results showed that NIM performed 200K counts per seconds and the most isotopes tested were correctly recognized within 1% error range when only a single unknown isotope was used for detection test. The software is expected to be used for radiation monitoring in various applications such as hospitals, power plants, and research facilities etc.

A Study on the 3D Modeling Solution Development for Design Efficiency in Furniture Industry (가구산업의 설계 효율화를 위한 3D Modeling Solution 개발에 관한 연구)

  • 한찬희;이창호
    • Proceedings of the Safety Management and Science Conference
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    • 2003.05a
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    • pp.43-51
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    • 2003
  • 제품 설계 및 디자인의 과정이 고도로 높은 기술력을 바탕으로 이루어지고 있으며, 국내의 기업체도 우수한 기술력과 높은 품질로 경쟁력을 키우며 다양한 고객의 요구에 대응하여 고객만족을 꾀하여야 한다 이의 기반이 되는 제품의 품질과 사양은 설계에서 시작되는데 아직 국내의 많은 기업들은 설계 및 제작 단계에서 많은 시간과 비용을 낭비하고 있다. 3D Modeling Solution은 설계오류가 적으며 시각적인 설계를 할 수 있어 최소의 인력으로 제품을 설계할 수 있는 장점이 있지만 너무 많은 기능으로 인해 사용자가 쉽게 적용하고 사용하기 어려운 단점을 가지고 있다. 본 연구에서는 이러한 산업현장의 어려움을 덜기 위해 3D 전용 Modeling Solution에 사용자가 쉽게 부품을 조림할 수 있는 엔진을 접목시켜 누구나 사용가능하고 신속한 신제품 개발이 이루어지도록 하였다. 본 연구에서는 Autodesk사의 Inventor와 Microsoft Visual Basic으로 Inventor에서 제공하고 있는 API함수를 이용하여 조립자동화를 위한 조립조건 생성, 조립자동화, 부품 재질변경, 수동조립 그리고 부품의 DB화를 구현하였다. 이 프로그램은 조립조건 설정 폼을 이용하여 부품의 조립속성을 생성하고 부품조립 폼을 이용하여 조립자동화를 실행할 수 있도록 하였다. 또한 모든 부품을 Database화 하여 부품을 손쉽게 탐색할 수 있으며, 추후에도 언제든지 재사용이 가능하여 제품설계 효율성을 극대화 할 수 있다. 현장 적용 시 신속한 신제품 개발과 품질의 우수성으로 고객만족을 꾀할 수 있으며, 시간과 비용을 동시에 줄여 경쟁사와의 경쟁우위를 높이는 해결책이 될 수 있다.-110 마이크로프로세서와 21285 주제어기가 장착된 EBSA-285 보드이다. 측정하면서 수행하였다. 검증 결과 random 상태에서는 문헌자료에 부합되는 예측결과를 보여주었으나, intermediate와 constant 상태에서는 문헌보다 다소 낮은 속도를 보여주었다 이러한 속도차는 추후 현장 데이터를 수집하여 보다 실질적인 검증을 통하여 조정되어야 할 것으로 판단된다.지발광(1.26초)보다 구애발광(1.12초)에서 0.88배 감소하였고, 암컷에서 정지발광(2.99초)보다 구애발광(1.06초)에서 0.35배 감소하였다. 발광양상에서 발광주파수는 수짓의 정지발광에서 0.8 Hz, 수컷 구애발광에서 0.9 Hz, 암컷의 정지발광에서 0.3 Hz, 암컷의 구애발광에서 0.9 Hz로 각각 나타났다. H. papariensis의 발광파장영역은 400 nm에서 700 nm에 이르는 모든 영역에서 확인되었으며 가장 높은 첨두치는 600 nm에 있고 500에서 600 nm 사이의 파장대가 가장 두드러지게 나타났다. 발광양상과 어우러진 교미행동은 Hp system과 같은 결과를 얻었다.하는 방법을 제안한다. 즉 채널 액세스 확률을 각 슬롯에서 예약상태에 있는 음성 단말의 수뿐만 아니라 각 슬롯에서 예약을 하려고 하는 단말의 수에 기초하여 산출하는 방법을 제안하고 이의 성능을 분석하였다. 시뮬레이션에 의해 새로 제안된 채널 허용 확률을 산출하는 방식의 성능을 비교한 결과 기존에 제안된 방법들보다 상당한 성능의 향상을 볼 수 있었다., 인삼이 성장될 때 부분적인 영양상태의 불충분이나 기후 등에 따른 영향을 받을 수 있기 때문에 앞으로 이에 대한 많은 연구가 이루어져야할 것으로 판단된다.

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