• Title/Summary/Keyword: Data Logging

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The Implementation of Data Logging System by Using VME Modules based on Real Time Linux (RT-Linux를 OS로 하는 VME시스템을 이용한 Data Logging System 구현)

  • Hwang, Seok-Kyun;Koo, Kyung-Mo;Joo, Moon-G.;Lee, Jin-S.
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.709-712
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    • 2003
  • In this research, we port the RT-Linux to MVME 5100 board which is driven by VxWorks or Vertex until now. And, we developed the data logging modules by using the RT-Linux. This module gathers two different scan timing data from plant and sends this data to the host controller with real time.

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Comparison of the borehole and tomography data in subsidence area using 3D visualization (3D 가시화를 이용한 지반침하지역의 시추자료와 토모그래피 자료의 비교)

  • 안조범;윤왕중;김진회
    • Proceedings of the Korean Geotechical Society Conference
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    • 2002.10a
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    • pp.231-236
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    • 2002
  • The understanding of underground geologic structures is of great importance for the surface and subsurface constructions, prevention of natural hazards such as land-slides and subsidence, and many other areas. To get the information on the geologic conditions, many of investigations such as geologic survey, geophysical explorations, testings on the physical properties of rocks, drilling tests and logging, and groundwater surveys are usually conducted, and tremendous data are collected accordingly. In general, however, these huge amount of data are interpreted in the individual areas only. If these data are analyzed collectively, much more information on the geologic conditions can be obtained. In this study, 3D visualization of borehole logging data is attempted. Borehole logging data are obtained at the urban subsidence area. To compare the 3D logging data with other geologic and geophysical data such as resistivity tomography data, interface module was developed. The 3D visualization of logging data and the comparison with other data can be helpful for the understanding of underground geologic structures.

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Disassembly and De-Compilation Based Data Logging for Mobile App Usage Analysis (모바일 앱 사용행태 분석을 위한 역컴파일 및 역어셈블 데이터 로깅)

  • Kim, Myoung-Jun;Nam, Yanghee
    • Journal of Information Technology Applications and Management
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    • v.21 no.4
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    • pp.127-139
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    • 2014
  • This study presents a logging method to trace the usage patterns of existing smartphone apps. The actual smartphone app itself, not a specially developed similar app with usage logging, would be used best for the experiment of observing the usage patterns. For this purpose, we used a method of injecting logging codes into existing smartphone app. Using this method, we conducted an experiment to trace usage patterns of a commercial IPTV app, and found that the method is very useful for acquiring detail usage log without influencing participants.

A Data Logging Smart r-Learning Effect on Students' Logical Thinking (데이터 로깅 활용 Smart r-Learning이 학생들의 논리적 사고력에 미치는 효과)

  • Lee, Jae-Inn;Yoo, Seoung-Han
    • Journal of The Korean Association of Information Education
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    • v.18 no.1
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    • pp.25-33
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    • 2014
  • Due to the recent development of educational robot hardwares, processing speed and scalability have been greatly improved. Thus, the robot hardwares that are compatible with temperature sensor for MBL and gyro sensor made a data logging possible. Students can conduct an experiment on scientific research and prediction, collecting and data analysis with robots that can process data logging. Therefore this research constructed and adopted science project class that introduced a Smart r-Learning that utilizes Class SNS and smartphone. As a result of applying a data logging smart r-Learning to elementary school 5th graders, it has shown that the students' logical thinking ability four of the six areas have been improved in t-test.

Applicability of Well Logging Data to Geologic Survey in the Keoje-do Area (거제도지역 지질조사에 대한 물리검층의 적용성)

  • Park, Sam Gyu;Kim, Hee Joon
    • Economic and Environmental Geology
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    • v.27 no.3
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    • pp.289-294
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    • 1994
  • This paper describes an effective utilization method of well logging data and boring cores for understanding the geology of Keoje-do area. Six holes were drilled in 1988-1989, and all rock cores were recovered. Nevertheless, seven kinds of logs were carried out in each borehole. The geologic situations of the drilling sites are accurately evaluated from a comparison between core descriptions and well logging data. Porosities and clay contents of sedimentary rocks can be calculated using the data of density and gamma-ray logs. Fractured zones are easily detected from the change in inside diameter of borehole by caliper log. Sonic, density and gamma-ray logging data clearly indicate alternated and dyke zones; the former can be detceted from an acoustic wave attenuation and a decline of compaction by sonic and density logs, the latter can be detected from the amount of potassium contents of bed rock and dyke by gamma-ray log.

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Quantitative Analysis of Coal Logging Data (석탄층 검층자료의 정량적 해석법 연구)

  • Kwon, Byung Doo;Son, Se Jo;Son, Jeong Woo
    • Economic and Environmental Geology
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    • v.21 no.1
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    • pp.85-96
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    • 1988
  • Geophysical well logging at various coal fields were carried out to study the characteristic response of domestic coal seams. Also a computer program is developed for quantitative analysis of coal logging data. Most coal seams penetrated by the drill holes, where the well logging were carried out, showed poor thickness and quality, and were severely altered. Therefore, majority of log data are inadequate for detailed quantitative analysis. The logs show, however, typical characteristics with related to coal seams, but interpretation should be made with caution because certain log response of demestic coals, mostly anthracite, are quite different to those of foreign coals, mostly bituminous. The developed comuter program has been proved as an effective one for identification of coal seams and lithology anslysis, and is expected to be succesfully used for coal quality analysis in cases of more diversified log data of good quality being obtained.

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Assessment of seawater intrusion using geophysical well logging and electrical soundings in a coastal aquifer, Youngkwang-gun, Korea

  • Hwang Seho;Shin Jehyun;Park Inhwa;Lee Sangkyu
    • Geophysics and Geophysical Exploration
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    • v.7 no.1
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    • pp.99-104
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    • 2004
  • A combination of drilling, geophysical well logging, and electrical soundings was performed to evaluate seawater intrusion in Baeksu-eup, Youngkwang-gun, Korea. The survey area extends for over 24 $km^2$. To delineate the extent of seawater intrusion, 60 vertical electrical soundings (VES) have been carried out. Twelve wells were also drilled for the collection of hydrogeological, geochemical, and geophysical well logging data, to delineate the degree and vertical extent of seawater intrusion. To map the spatial distribution of seawater in this coastal aquifer, geophysical data and hydrogeochemical results were used, and the relation between the resistivity of groundwater and equivalent NaCl concentration was found. Layer parameters derived from VES data, various in-situ physical properties from geophysical well logging, and the estimated equivalent NaCl concentration were very useful for quantitative evaluation of seawater intrusion. Our approach for evaluating seawater intrusion can be considered a valuable attempt at enhancing the use of geophysical data.

Implementation of Real-Time Data Logging System for Radar Algorithm Analysis (레이다 알고리즘 분석을 위한 실시간 로깅 시스템 구현)

  • Jin, YoungSeok;Hyun, Eugin
    • IEMEK Journal of Embedded Systems and Applications
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    • v.16 no.6
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    • pp.253-258
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    • 2021
  • In this paper, we developed a hardware and software platform of the real-time data logging system to verify radar FEM (Front-end Module) and signal-processing algorithms. We developed a hardware platform based on FPGA (Field Programmable Gate Array) and DSP (Digital Signal Processor) and implemented firmware software to verify the various FEMs. Moreover, we designed PC based software platform to control radar logging parameters and save radar data. The developed platform was verified using 24 GHz multiple channel FMCW (Frequency Modulated Continuous Wave) in an environment of stationary and moving targets of chamber room.

Integrity Test of DCM Treated Soils with a Cross-hole Sonic Logging (시추공간 음파검층법을 이용한 심층혼합 개량지반의 건전도 조사)

  • 김진후;조성경
    • Journal of Ocean Engineering and Technology
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    • v.15 no.1
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    • pp.73-78
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    • 2001
  • Soundness evaluation of a structure being constructed under the sea is usually difficult. In this study, a cross-hole sonic logging(CSL) which have been used for non-destructive test of concrete piles is adopted for the integrity test and monitoring of DCM(deep cement mixing) treated soils. Chemical and physical characteristics of raw ground materials are analysed to delineate ground environmental effects on the strength of DCM treated soils. In order to convert cross-hole sonic logging data into compressive strength, correlations between compressive strengths and wave velocities of core samples have been obtained. It is found that there is little effect of ground environment on the strength of the DCM treated soils, and the density distribution of core samples and cross-hole logging data show that a defective zone may exist in the DCM treated soils. With the time lapse, however, the defective zone has been cured and consequently, compressive strength of the DCM treated soils increases and satisfies the design parameter. From this study it can be concluded that the cross-hole sonic logging can be used for the integrity test as well as monitoring the curing stage of the structures, successfully.

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XML-based Modeling for Semantic Retrieval of Syslog Data (Syslog 데이터의 의미론적 검색을 위한 XML 기반의 모델링)

  • Lee Seok-Joon;Shin Dong-Cheon;Park Sei-Kwon
    • The KIPS Transactions:PartD
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    • v.13D no.2 s.105
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    • pp.147-156
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    • 2006
  • Event logging plays increasingly an important role in system and network management, and syslog is a de-facto standard for logging system events. However, due to the semi-structured features of Common Log Format data most studies on log analysis focus on the frequent patterns. The extensible Markup Language can provide a nice representation scheme for structure and search of formatted data found in syslog messages. However, previous XML-formatted schemes and applications for system logging are not suitable for semantic approach such as ranking based search or similarity measurement for log data. In this paper, based on ranked keyword search techniques over XML document, we propose an XML tree structure through a new data modeling approach for syslog data. Finally, we show suitability of proposed structure for semantic retrieval.