• Title/Summary/Keyword: generating function method

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Generation of Artificial Time History Covering Design Response Spectrum by Two Modification Functions (이중 수정함수 적용을 통한 설계응답스펙트럼 포괄 인공지진파의 생성)

  • Park, Gun;Hong, Ki Nam;Han, Sang Hoon;Kim, Jae Suk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.36 no.1
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    • pp.1-11
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    • 2016
  • The domestic and foreign seismic design codes have specified that time history covers design response spectrum when the response spectrum, which calculated from the time history, is smaller than the design response spectrum at five points or less. In order to verify the design codes, time history analysis for a pier was performed by using five artificial time histories conforming design code with various characteristics and its member forces were evaluated according to them. It was confirmed from analysis results that, regardless of the conformity to design code requirement, seismic design using the artificial time histories could not guarantee earthquake resistant design if the response spectrum from them is lower than design response spectrum at the similar period to the natural frequency of structure. Thus, the time history generating method to make its acceleration response spectrum to be greater than design response spectrum at all period was proposed by two modification function in this study. It was also verified whether time histories from the proposed method satisfy the seismic design codes or not.

Function partitioning methods for malware variant similarity comparison (변종 악성코드 유사도 비교를 위한 코드영역의 함수 분할 방법)

  • Park, Chan-Kyu;Kim, Hyong-Shik;Lee, Tae Jin;Ryou, Jae-Cheol
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.2
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    • pp.321-330
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    • 2015
  • There have been found many modified malwares which could avoid detection simply by replacing a sequence of characters or a part of code. Since the existing anti-virus program performs signature-based analysis, it is difficult to detect a malware which is slightly different from the well-known malware. This paper suggests a method of detecting modified malwares by extending a hash-value based code comparison. We generated hash values for individual functions and individual code blocks as well as the whole code, and thus use those values to find whether a pair of codes are similar in a certain degree. We also eliminated some numeric data such as constant and address before generating hash values to avoid incorrectness incurred from them. We found that the suggested method could effectively find inherent similarity between original malware and its derived ones.

Viaduct seismic response under spatial variable ground motion considering site conditions

  • Derbal, Rachid;Benmansour, Nassima;Djafour, Mustapha;Matallah, Mohammed;Ivorra, Salvador
    • Earthquakes and Structures
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    • v.17 no.6
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    • pp.557-566
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    • 2019
  • The evaluation of the seismic hazard for a given site is to estimate the seismic ground motion at the surface. This is the result of the combination of the action of the seismic source, which generates seismic waves, the propagation of these waves between the source and the site, and site local conditions. The aim of this work is to evaluate the sensitivity of dynamic response of extended structures to spatial variable ground motions (SVGM). All factors of spatial variability of ground motion are considered, especially local site effect. In this paper, a method is presented to simulate spatially varying earthquake ground motions. The scheme for generating spatially varying ground motions is established for spatial locations on the ground surface with varying site conditions. In this proposed method, two steps are necessary. Firstly, the base rock motions are assumed to have the same intensity and are modelled with a filtered Tajimi-Kanai power spectral density function. An empirical coherency loss model is used to define spatial variable seismic ground motions at the base rock. In the second step, power spectral density function of ground motion on surface is derived by considering site amplification effect based on the one dimensional seismic wave propagation theory. Several dynamics analysis of a curved viaduct to various cases of spatially varying seismic ground motions are performed. For comparison, responses to uniform ground motion, to spatial ground motions without considering local site effect, to spatial ground motions with considering coherency loss, phase delay and local site effects are also calculated. The results showed that the generated seismic signals are strongly conditioned by the local site effect. In the same sense, the dynamic response of the viaduct is very sensitive of the variation of local geological conditions of the site. The effect of neglecting local site effect in dynamic analysis gives rise to a significant underestimation of the seismic demand of the structure.

A Design of Efficient Scan Converter for Image Compression CODEC (영상압축코덱을 위한 효율적인 스캔변환기 설계)

  • Lee, Gunjoong;Ryoo, Kwangki
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.2
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    • pp.386-392
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    • 2015
  • Data in a image compression codec are processed with a specific regular block size. The processing order of block sized data is changed in specific function blocks and the data is packed in memory and read by a new sequence. To maintain a regular throughput rate, double buffering is normally used that interleaving two block sized memory to do concurrent read and write operations. Single buffering using only one block sized memory can be adopted to the simple data reordering, but when a complicate reordering occurs, irregular address changes prohibit from implementing adequate address generating for single buffering. This paper shows that there is a predictable and recurring regularity of changing address access orders within a finite updating counts and suggests an effective method to implement. The data reordering function using suggested idea is designed with HDL and implemented with TSMC 0.18 CMOS process library. In various scan blocks, it shows more than 40% size reduction compared with a conventional method.

(The Development of Janggi Board Game Using Backpropagation Neural Network and Q Learning Algorithm) (역전파 신경회로망과 Q학습을 이용한 장기보드게임 개발)

  • 황상문;박인규;백덕수;진달복
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.39 no.1
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    • pp.83-90
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    • 2002
  • This paper proposed the strategy learning method by means of the fusion of Back-Propagation neural network and Q learning algorithm for two-person, deterministic janggi board game. The learning process is accomplished simply through the playing each other. The system consists of two parts of move generator and search kernel. The one consists of move generator generating the moves on the board, the other consists of back-propagation and Q learning plus $\alpha$$\beta$ search algorithm in an attempt to learn the evaluation function. while temporal difference learns the discrepancy between the adjacent rewards, Q learning acquires the optimal policies even when there is no prior knowledge of effects of its moves on the environment through the learning of the evaluation function for the augmented rewards. Depended on the evaluation function through lots of games through the learning procedure it proved that the percentage won is linearly proportional to the portion of learning in general.

Saddlepoint approximation for distribution function of sample mean of skew-normal distribution (왜정규 표본평균의 분포함수에 대한 안장점근사)

  • Na, Jong-Hwa;Yu, Hye-Kyung
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.6
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    • pp.1211-1219
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    • 2013
  • Recently, the usage of skew-normal distribution, instead of classical normal distribution, is rising up in many statistical theories and applications. In this paper, we deal with saddlepoint approximation for the distribution function of sample mean of skew-normal distribution. Comparing to normal approximation, saddlepoint approximation provides very accurate results in small sample sizes as well as for large or moderate sample sizes. Saddlepoint approximations related to the skew-normal distribution, suggested in this paper, can be used as a approximate approach to the classical method of Gupta and Chen (2001) and Chen et al. (2004) which need very complicate calculations. Through simulation study, we verified the accuracy of the suggested approximation and applied the approximation to Robert's (1966) twin data.

A Reproducible and Reliable Method for Measuring Masseter Muscle Thickness in Maximal Bite Force Using Ultrasonography

  • Hyun-Jeong Park;Sun-Kyoung Yu;Yo-Seob Seo;Ji-Won Ryu
    • Journal of Oral Medicine and Pain
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    • v.47 no.4
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    • pp.206-211
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    • 2022
  • Purpose: The purpose of this study is to develop a reproducible and reliable method for evaluating the masseter's functional state by measuring the masseter muscle with ultrasonography (US). Methods: Nineteen healthy adults (9 males, 10 females) were the subjects of this study. During US scanning, the image was taken from the thickest part of the masseter muscle in the image. To evaluate changes in thickness during masseter function, US images were taken of the participant's masseter muscle at rest and during clenching. In this study, US scanning was conducted using two approaches to compare the difference in masseter muscle thickness determined when inducing maximum bite force (MBF). Results: All 19 subjects completed US scanning of the masseter muscle at rest and during clenching under the conventional method and the articulation paper method. There was no difference in masseter muscle thickness measured at rest. However, the thickness of the masseter muscles determined by the articulation paper during jaw clenching was greater than that measured by the conventional method. Conclusions: In conclusion, using the US for masseter muscle evaluation can offer objective and functional information on the masseter muscle. A standardized US scanning method needs to be developed to obtain reproducible and reliable information on the masseter muscle at rest and during clenching. In particular, generating MBF using an articulation paper can be a reproducible and reliable method of measuring the functional state of the masseter muscle.

Weighted Census Transform and Guide Filtering based Depth Map Generation Method (가중치를 이용한 센서스 변환과 가이드 필터링 기반깊이지도 생성 방법)

  • Mun, Ji-Hun;Ho, Yo-Sung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.2
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    • pp.92-98
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    • 2017
  • Generally, image contains geometrical and radiometric errors. Census transform can solve the stereo mismatching problem caused by the radiometric distortion. Since the general census transform compares center of window pixel value with neighbor pixel value, it is hard to obtain an accurate matching result when the difference of pixel value is not large. To solve that problem, we propose a census transform method that applies different 4-step weight for each pixel value difference by applying an assistance window inside the window kernel. If the current pixel value is larger than the average of assistance window pixel value, a high weight value is given. Otherwise, a low weight value is assigned to perform a differential census transform. After generating an initial disparity map using a weighted census transform and input images, the gradient information is additionally used to model a cost function for generating a final disparity map. In order to find an optimal cost value, we use guided filtering. Since the filtering is performed using the input image and the disparity image, the object boundary region can be preserved. From the experimental results, we confirm that the performance of the proposed stereo matching method is improved compare to the conventional method.

The Edge Enhanced Error Diffusion Appling Edge Information Weights (에지 정보 가중치를 적용한 에지 강조 오차 확산 방법)

  • 곽내정;양운모;유창연;한재혁
    • The Journal of the Korea Contents Association
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    • v.3 no.3
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    • pp.11-18
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    • 2003
  • Error diffusion is a procedure for generating high quality bilevel images from continuous-tone images but blurs the edge information. To solve this problem, we propose the improved method appling edge enhanced weights based on local characteristic of the original images. We consider edge information as local characteristic. First, we produce edges by appling 3$\times$3 sobel operator to the original image. The edge is normalized from 0 to 1. Edge information weights are computed by using sinusoidal function and the normalized edge information. The edge enhanced weights are computed by using edge information weights multiplied input pixels. The proposed method is compared with conventional methods by measuring the edge correlation and quality of the recovered images from the halftoned images. The proposed method provides better quality than the conventional method due to the enhanced edge and represents efficiently the detail edge. Also, the proposed method is improved in edge representation than the conventional method.

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Generation Method of Spatiotemporal Image for Detecting Leukocyte Motions in a Microvessel (미소혈관내 백혈구 운동검출을 위한 시공간 영상 생성법)

  • Kim, Eung Kyeu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.9
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    • pp.99-109
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    • 2016
  • This paper presents a method for generating spatiotemporal images to detect the leukocyte motions in a microvessel. By using the constraint that the leukocytes move along the contour line of a blood vessel wall, the method detects leukocyte motions and then generates spatiotemporal images. the translational motion by a movement in vivo is removed first by the template matching method. Next, a blood vessel region is detected by the automatic threshold selection method to binarize the temporal variance image, then a blood vessel wall's contour is expressed by B-spline function. With the detected blood vessel wall's contour as an initial curve, the plasma layer of the best accurate position is determined to be the spatial axis by snake. Finally, the spatiotemporal images are generated. The experimental results show the spatiotemporal images are generated effectively through the comparison of each step of three image sequences.