• Title/Summary/Keyword: acquisition parameter

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Malicious Bot API and Parameter Acquisition program Implementation (악성 봇 전염 행동 API 및 파라미터 수집 프로그램 구현)

  • Hwang, Yu-Dong;Yoo, Seung-Yeop;Park, Dong-Gue
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.967-970
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    • 2011
  • 본 논문에서는 커널 모드에서 악성 봇이 호스트를 전염 시키는 순간 나타나는 일반적인 행동 특성들을 기반으로 효과적인 악성 봇 탐지가 가능한 프로그램을 구현하였다. 구현된 프로그램은 false-positive(오탐지)를 줄이기 위해서 악성 봇의 전염 과정에서 발생하는 복제 행동, 레지스트리 등록, uninstall 등록, 복제된 파일의 경로 정보 그리고 사용할 API 임포트 정보 등과 같은 악성 행위 탐지 기준 6가지를 고려한다.

Development of Small SAR System and Signal Processing Algorithm for Full-Polarization Data Acquisition with 30 cm Resolution (30 cm급 완전편파 데이터 획득을 위한 소형 SAR 시스템 개발 및 신호처리)

  • Song, Jung-Hwan;Jung, Chul-Ho;Choi, Jong-Joon;Kim, Jin-Soo;Lee, Woo-Kyung
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.9
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    • pp.707-721
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    • 2018
  • In this paper, a small synthetic aperture radar(SAR) system with 30 cm resolution is proposed, and a RAW data-based Doppler parameter estimation and motion compensation algorithm is described in detail. Acquisition of both PolSAR and InSAR data are enabled because there are two channels each in the transmitter and receiver modules. Automotive-based field work is performed to obtain PolSAR data, and signal processing results are ultimately obtained. A motion compensation algorithm is used to mitigate the residual phase error due to platform oscillation, and improved performance is obtained with the motion compensation algorithm using the automotive field test data.

A Study on Binary CDMA System Correlator Design for High-Speed Acquisition Processing (고속 동기 처리를 위한 Binary CDMA 시스템 코릴레이터 설계에 관한 연구)

  • Lee, Seon-Keun;Jeong, Woo-Yeol
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.1 s.45
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    • pp.155-160
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    • 2007
  • Because output of multi-code CDMA system adapted high speed data transmission becoming multi-level system use linear amplifier in output stage and complex output signal. Therefore, Multi-Code CDMA system has shortcoming of high price, high complexity etc.. Binary CDMA technology that allow fetters in existing CDMA technology to supplement this shortcoming proposed. In binary CDMA system When correlator process high speed data, bottle-neck phenomenon is happened on synchronization acquisition process, it is very important parameter. Because existent correlator must there be advantage that power consumption is small but flow addition of several stages to receive correlation's value, the processing speed has disadvantage because the operation amount is much. Therefore in this paper, proposed correlator has characteristic such as data is able to high speed processing, chip area is independent and power consumption is constant in structure in binary CDMA system.

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Evaluation of the Accuracy of Distance Measurements on 3D Volume-rendered Image of Human Skull Using Multi-detector CT: Effects of Acquisition Section Thickness and Reconstruction Section Thickness

  • Haijo Jung;Kim, Hee-Joung;Lee, Sang-Ho;Kim, Dong-Wook;Soonil Hong;Kim, Dong-Hyeon;Son, Hye-Kyung;Wonsuk Kang;Kim, Kee-Deog
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2002.09a
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    • pp.457-460
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    • 2002
  • The image quality of three-dimensional (3D) images has been widely investigated by the qualitative analysis method. A need remains for an objective and quantitative method to assess the image quality of 3D volume-rendered images. The purpose of this study was to evaluate the quantitative accuracy of distance measurements on 3D volume-rendered images of a dry human skull by using multi-detector computed tomography (MDCT). A radiologist measured five times the twenty-one direct measurement line items composed among twelve reference points on the skull surface with a digital vernier caliper. The water filled skull specimen was scanned with a MDCT according to the section thicknesses of 1.25, 2.50, 3.75, and 5.00 mm for helical (high quality; pitch 3:1) scan mode. MDCT data were reconstructed with its acquisition section thickness and with 1.25 mm section thickness for all scans. An observer also measured seven times the corresponding items on 3D volume-rendered images with measuring tools provided by volumetric analysis software. The quantitative accuracy of distance measurements on the 3D volume-rendered images was statistically evaluated (p-value < 0.05) by comparatively analyzing these measurements with the direct distance measurements. The accuracy of distance measurements on the 3D volume-rendered MDCT images acquired with 1.25, 2.50, 3,75 and 5.00 mm section thickness and reconstructed with its section thickness were 48%, 33%, 23%, and 14%, respectively. Meanwhile, there were insignificant statistical differences in accuracy of distance measurements among 3D volume-rendered images reconstructed with 1.25 mm section thickness for the each acquisition section thickness. MDCT images acquired with thick section thickness and reconstructed with thin section thickness in helical scan mode should be effectively used in medical planning of 3D volume-rendered images. The quantitative analysis of distance measurement may be a useful tool for evaluating the quantitative accuracy and the defining optimal parameters of 3D volume-rendered CT images.

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Headedness Parameter and the Acquisition of Null Anaphor (문장의 머리방향 매개변수(headedness parameter)와 공조응사(null anaphor)습득)

  • 조숙환
    • Korean Journal of Cognitive Science
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    • v.1 no.1
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    • pp.145-164
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    • 1989
  • The present paper studies the development of null anaphor,with special attention to whether Korean children's use of null anaphora exhibits the type of directionality preforence predicted by Lust & Mangione(1983)and Lust(1986).If these researchers are correct,anaphora in Korean children's language should be constrained backward since Korean is a left-branching language.That is,it is predicted that Korean chidren would perfer backward anaphora to the forward pattern.For the purpose of this study, ninety-six children were individually tested in an elicited imitation task, twenty-four children from four age groups(4:1-9:7).Three types of constructions,sentences involving a redundant NP,forward patterns of ananphora,and backsward patterns of anaphora were devised.It was discovered that like English speaking children, Korean children prefer forward patterns of anaphora to backward structures.It was thus speculated that the forward preference may well be indedpendent of grammatical factors,reflecting instead processing considerations which favour mention of the referent befor the use of anaphoric elements.

A Study on Defect Prediction through Real-time Monitoring of Die-Casting Process Equipment (주조공정 설비에 대한 실시간 모니터링을 통한 불량예측에 대한 연구)

  • Chulsoon Park;Heungseob Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.4
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    • pp.157-166
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    • 2022
  • In the case of a die-casting process, defects that are difficult to confirm by visual inspection, such as shrinkage bubbles, may occur due to an error in maintaining a vacuum state. Since these casting defects are discovered during post-processing operations such as heat treatment or finishing work, they cannot be taken in advance at the casting time, which can cause a large number of defects. In this study, we propose an approach that can predict the occurrence of casting defects by defect type using machine learning technology based on casting parameter data collected from equipment in the die casting process in real time. Die-casting parameter data can basically be collected through the casting equipment controller. In order to perform classification analysis for predicting defects by defect type, labeling of casting parameters must be performed. In this study, first, the defective data set is separated by performing the primary clustering based on the total defect rate obtained during the post-processing. Second, the secondary cluster analysis is performed using the defect rate by type for the separated defect data set, and the labeling task is performed by defect type using the cluster analysis result. Finally, a classification learning model is created by collecting the entire labeled data set, and a real-time monitoring system for defect prediction using LabView and Python was implemented. When a defect is predicted, notification is performed so that the operator can cope with it, such as displaying on the monitoring screen and alarm notification.

The Application of Dynamic Acquisition with Motion Correction for Static Image (동적 영상 획득 방식을 이용한 정적 영상의 움직임 보정)

  • Yoon, Seok-Hwan;Seung, Jong-Min;Kim, Kye-Hwan;Kim, Jae-Il;Lee, Hyung-Jin;Kim, Jin-Eui;Kim, Hyun-Joo
    • The Korean Journal of Nuclear Medicine Technology
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    • v.14 no.1
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    • pp.46-53
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    • 2010
  • Purpose: The static image of nuclear medicine study should be acquired without a motion, however, it is difficult to acquire static image without movement for the serious patients, advanced aged patients. These movements cause decreases in reliability for quantitative and qualitative analysis, therefore re-examination was inevitable in the some cases. Consequently, in order to improve the problem of motion artifacts, the authors substituted the dynamic acquisition technique for the static acquisition, using motion correction. Materials and Methods: A capillary tube and IEC body phantom were used. First, the static image was acquired for 60 seconds while the dynamic images were acquired with a protocol, 2 sec/frame${\times}$30 frames, under the same parameter and the frames were summed up into one image afterwards. Also, minimal motion and excessive motion were applied during the another dynamic acquisition and the coordinate correction was applied towards X and Y axis on the frames where the motion artifact occurred. But the severe blurred images were deleted. Finally, the resolution and counts were compared between the static image and the summed dynamic images which before and after applying motion correction, and the signal of frequency was analysed after frequency spatial domain was transformed into 2D FFT. Supplementary examination, the blind test was performed by the nuclear medicine department staff. Results: First, the resolution in the static image and summed dynamic image without motion were 8.32 mm, 8.37 mm on X-axis and 8.30 mm, 8.42 mm on Y-axis, respectively. The counts were 484 kcounts, 485 kcounts each, so there was nearly no difference. Secondly, the resolution in the image with minimal motion applying motion correction was 8.66 mm on X-axis, 8.85 mm on Y-axis and had 469 kcounts while the image without motion correction was 21.81 mm, 24.02 mm and 469 kcounts in order. So, this shows the image with minimal motion applying motion correction has similar resolution with the static image. Lastly, the resolution in the images with excessive motion applying motion correction were 9.09 mm on X-axis, 8.83 mm on Y-axis and had 469 kcounts while the image without motion correction was 47.35 mm, 40.46 mm and 255 kcounts in order. Although there was difference in counts because of deletion of blurred frames, we could get similar resolution. And when the image was transformed into frequency, the high frequency was decreased by the movement. However, the frequency was improved again after motion correction. In the blind test, there was no difference between the image applying motion correction and the static image without motion. Conclusion: There was no significant difference between the static image and the summed dynamic image. This technique can be applied to patients who may have difficulty remaining still during the imaging process, so that the quality of image can be improved as well as the reliance for analysis of quantity. Moreover, the re-examination rate will be considerably decreased. However, there is a limit of motion correction, more time will be required to successfully image the patients applying motion correction. Also, the decrease of total counts due to deletion of the severe blurred images should be calculated and the proper number of frames should be acquired.

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Automatic Co-registration of Existing Building Models and Digital Image (건물 모델과 디지털 영상간의 자동정합 방법)

  • Jung, Jae-Wook;Sohn, Gun-Ho;Armenakis, Costas
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.125-132
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    • 2010
  • With recent advancement of remote sensing technology, a variety of data acquisition over the same area is achievable. An automated co-registration of heterogeneous airborne images is a critical step for change detection. This paper describes an automatic method for co-registration between digital image and existing building model. Optimal building models for co-registration purpose are extracted as primitives from existing building model database. A set of homologous features between straight lines extracted from aerial digital image and model primitive are computed based on geometric similarity function. With obtained homologous features, EO parameter is recomputed using least square method. The result shows that die suggested method automatically co-register two data set in a reliable manner.

Effects on Fractal Dimension by Automobile Driver's EEG during Highway Driving : Based on Chaos Theory (직선 고속 주행시 운전자의 뇌파가 프랙탈 차원에 미치는 영향: 카오스 이론을 중심으로)

  • 이돈규;김정룡
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.57
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    • pp.51-62
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    • 2000
  • In this study, the psycho-physiological response of drivers was investigated in terms of EEG(Electroencephalogram), especially with the fractal dimensions computed by Chaotic algorithm. The Chaotic algorithm Is well Known to sensitively analyze the non-linear information such as brain waves. An automobile with a fully equipped data acquisition system was used to collect the data. Ten healthy subjects participated in the experiment. EEG data were collected while subjects were driving the car between Won-ju and Shin-gal J.C. on Young-Dong highway The results were presented in terms of 3-Dimensional attractor to confirm the chaotic nature of the EEG data. The correlation dimension and fractal dimension were calculated to evaluate the complexity of the brain activity as the driving duration changes. In particular, the fractal dimension indicated a difference between the driving condition and non-driving condition while other spectral variables showed inconsistent results. Based upon the fractal dimension, drivers processed the most information at the beginning of the highway driving and the amount of brain activity gradually decreased and stabilized. No particular decrease of brain activity was observed even after 100 km driving. Considering the sensitivity and consistency of the analysis by Chaotic algorithm, the fractal dimension can be a useful parameter to evaluate the psycho-physiological responses of human brain at various driving conditions.

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Classification of stator coil degradation of traction motor by PD signal distribution analysis (PD 분포 분석에 의한 견인전동기 고정자 코일의 열화도 분류에 관한 연구)

  • Park, Seong-Hee;Lim, Jong-Ho;Jang, Dong-Uk;Park, Hyun-June;Kang, Seong-Hwa;Lim, Kee-Joe
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07b
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    • pp.1183-1186
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    • 2004
  • Degradation and insulation failure of traction motor depend on the continuous stress imposed on it. And knowing on insulation condition is important thing for safety operation of EMU(electric multiple unit). In this paper, PD(partial discharge) characteristics for degradation analysis of stator coil is studied. For PD data acquisition, two models are made; one is normal condition coil, the other is aged condition coil. And PD data for discrimination were acquired from PD detector. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for degradation of stator coil.

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