• Title/Summary/Keyword: LOGGING

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Efficient Algorithms for Causal Message Logging and Revoery (인과적 메시지 로그 및 복구를 위한 효율적인 알고리즘)

  • Lee, Byeong-Ju;Park, Tae-Sun;Yeom, Heon-Yeong;Jo, Yu-Geun
    • Journal of KIISE:Computer Systems and Theory
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    • v.26 no.7
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    • pp.767-777
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    • 1999
  • 인과적 메시지 로깅 기법은 정상프로세스를 역전(roll-back)시키거나 메시지의 저장을 위해 프로세스의 수행을 중단시키지 않는 장점을 지니고 있지만, 메시지의 크기가 지나치게 커진다는 단점을 지니고 있다. 본 논문에서는 인과적 메시지 로깅 기법의 이러한 문제점을 해결하기 위하여 로그 상속의 개념을 정의하고 로그 연혁을 이용하여 로그 비용, 특히 로그 크기 면에서 효율적인 로깅 기법을 제안한다. 또한 이 로깅 알고리즘을 이용하여 복구시 메시지의 수와 크기를 줄여 복구시간을 줄이는 효율적인 복구 알고리즘을 제안하고, 제안한 알고리즘이 메시지 로그 크기 면에서 효율적임을 증명한다. 또 제안한 알고리즘의 성능을 검증하기 위하여 두 가지 종류의 모의 실험을 수행하여 기존의 로깅 프로토콜과 메시지 크기 면에서의 성능을 비교한 결과를 제시하였다.Abstract Causal message logging has many good properties such as nonblocking message logging and no rollback propagation. However, it requires a large amount of information to be piggybacked on each message, which may incur severe performance degradation. This paper presents an efficient causal logging algorithm based on the new message log structure, LogOn, which represents the causal inter-process dependency relation with much smaller overhead compared to the existing algorithms. The proposed algorithm is efficient in the sense that it entails no additional information other than LogOn to be carried in each message, while other existing algorithms require extra information other than the message logs. This paper also presents an efficient recovery algorithm to solve the problem of a large amount of data exchanges during the recovery. To verify the performance of our algorithm, we give an analysis of the algorithm and perform two simulations and compare the log size with other causal logging protocols.

Geophysical Exploration and Well Logging for the Delineation of Geological Structures in a Testbed (실험 부지에서의 지질구조 파악을 위한 물리탐사 및 물리검층)

  • Yu, Huieun;Shin, Jehyun;Kim, Bitnarae;Cho, Ahyun;Lee, Gang Hoon;Pyun, Sukjoon;Hwang, Seho;Yu, Young-Chul;Cho, Ho-Young;Nam, Myung Jin
    • Journal of Soil and Groundwater Environment
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    • v.27 no.spc
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    • pp.19-33
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    • 2022
  • When subsurface is polluted, contaminants tend to migrate through groundwater flow path. The groundwater flow path is highly dependent upon underground geological structures in the contaminated area. Geophysical survey is an useful tool to identify subsurface geological structure. In addition, geophysical logging in a borehole precisely provides detailed information about geological characteristics in vicinity of the borehole, including fractures, lithology, and groundwater level. In this work, surface seismic refraction and electrical resistivity surveys were conducted in a test site located in Namyangju city, South Korea, along with well logging tests in five boreholes installed in the site. Geophysical data and well logging data were collected and processed to construct an 3D geological map in the site.

Estimation of the Depth of Embedded Sheet Piles Using Two Types of Geophysical Loggings (다종 물리검층을 통한 시트파일 근입 심도 추정 연구)

  • Hwang, Sungpil;Kim, Wooseok;Jeoung, Jaehyeung;Kim, Kiju;Park, Byungsuk;Lee, Chulhee
    • The Journal of Engineering Geology
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    • v.32 no.4
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    • pp.525-534
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    • 2022
  • This investigation used two different geophysical logging techniques to confirm the depth to which a sheet pile was driven. Depth was estimated through analysis of the movement speed and three-component movement directions of a P-wave transmitted through the ground. It was also estimated by pole-pole and pole-dipole methods using electrical data logging to measure apparent resistivity. The two methods' respective results were 9.0 m (±1.5 m) and 7.5 m. As field ground conditions will include mixtures of various materials, electrical data logging is judged to be suitable for assessing depth due to its low signal-to-noise ratio.

Design of Secure Log System in Cloud Computing Environment (클라우드 컴퓨팅 환경에서의 안전한 로그 시스템 설계)

  • Lee, Byung-Do;Shin, Sang Uk
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.300-307
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    • 2016
  • Cloud computing that provide a elastic computing service is more complex compared to the existing computing systems. Accordingly, it has become increasingly important to maintain the stability and reliability of the computing system. And troubleshooting and real-time monitoring to address these challenges must be performed essentially. For these goals, the handling of the log data is needed, but this task in cloud computing environment may be more difficult compared to the traditional logging system. In addition, there are another challenges in order to have the admissibility of the collected log data in court. In this paper, we design secure logging service that provides the management and reliability of log data in a cloud computing environment and then analyze the proposed system.

Development of a program for the management of boreholes logging data associated with GIS (GIS용 시추자료 관리 프로그램 개발)

  • 송원경;신희순;박형동
    • Proceedings of the Korean Geotechical Society Conference
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    • 1999.10a
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    • pp.337-344
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    • 1999
  • A database program, named Geoscope, was developed to effectively manage the enormous boreholes log data produced during the geotechnical investigation works in construction and mining Industry This program was designed to give a maximum conveniences to the end users when dealing with the geotechnical data obtained. Most of the values related to geotechnlcal attributes can be selected by a simple click of the mouse in list boxes or small windows provided by the program. Logging chart is automatically created at the same time as the input of the data in the form designated by the user. The made file format and the relational database system adopted in this program, furthermore, can allow the data to be associated with other GIS programs.

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Sub-surface imaging and vector precision from high resolution down-hole TEM logging

  • Chull, James;Massie, Duncan
    • 한국지구물리탐사학회:학술대회논문집
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    • 2005.09a
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    • pp.11-18
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    • 2005
  • Filament inversion routines are highly effective for target definition whenever total-field DHTEM vectors can be obtained using three-component logging tools. However most cross-hole components contain significant noise related to sensor design and errors in observation of probe rotation. Standard stacking methods can be used to improve data quality but additional statistical methods based on cross-correlation and spatial averaging of orthogonal components may be required to ensure a consistent vector migration path. Apart from assisting with spatial averaging, multiple filaments generated for successive time-windows can provide additional imaging information relating to target geometry and current migration. New digital receiver systems provide additional time-windows to provide better tracking options necessary for high-resolution imaging of this type.

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A Real-time Remote Logging Model for Development of Location-Based Mobile Applications

  • Choi, Yun-seok
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.10
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    • pp.69-76
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    • 2016
  • In this paper, we propose a real-time remote logging model for development of android applications using LBS(Location based Service). The model has two major parts: Mobile Log Management Service and Remote Log Server. Mobile Log Management Service consists of the log collector and the remote log manager. The log collector is an aspect of AOP which can collect logs from the target application without modifications of source codes. The remote log manager has a background service component so that it can receive logs whenever the log collector captures logs from the target application. Remote Log Server communicates with Mobile Log Management Service by socket interface. Therefore, Remote Log Server can show logs in real-time. To validate the efficiency of the proposed model, we show a case study, and compare the model with other models.

Application of a geophysical well log technique for determining permeability in borehole

  • Kim Y.;Park J.
    • 한국지구물리탐사학회:학술대회논문집
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    • 2003.11a
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    • pp.432-436
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    • 2003
  • Geophysical well logging techniques which are useful for delineating permeability of geological formation have been reviewed. A new technique for obtaining permeability using conductivity log technique has been discussed. This conductivity logging technique has been tested by monitoring the conductivity change within the model hole using borehole environment water and incoming-outgoing water of different salinity with constant flow rate by maintaining balance between inflow and outflow. Conductivity variation features depended mainly on flow rate, density contrasts due to salinity and temperature contrasts between fluid within the hole and incoming-outgoing fluid. The results of the experiment show uniform change of fluid conductivity within bore hole with time, and a fairly good correlation between the flow rate and the conductivity change rate. This conductivity logging technique is expected to be an efficient tool for determining permeability.

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A multi-channel data acquisition/logging system for a sensor signal processing (센서신호처리를 위한 다중채널 데이터획득/로깅 시스템)

  • Park, Chan-Won;Kim, Il-Hwan
    • Journal of Sensor Science and Technology
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    • v.16 no.3
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    • pp.187-191
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    • 2007
  • This paper presents a development of the multi-channel data acquisition/logging system for a sensor signal processing and a method of the evaluation and a temperature compensation for the A/D converters with the specific analog and digital circuit including the software. Also, we have designed a hardware and a software filters with smart algorithm for better signal processing of the proposed system. Software approach was adopted to obtain the stable data from A/D converter.

균열암반 물리검층 자료의 수리지질특성에 대한 다변량 통계분석

  • 고경석;황세호;이진수;김용제;김태희
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.09a
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    • pp.373-376
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    • 2004
  • To investigate the vertical petrological and hydrological characteristics of fractured rock, geophysical and chemical logging were executed at 5 boreholes installed in the study area. The geophysical and hydrochemical logging data were analysed by using principal components analysis (PCA). Three main variables from PCA explained 86.4% of total variance of geophysical log data. The PCA results showed that PCl is closely related to groundwater properties and PC2 and PC3 are influenced by rock and fracture properties. Hydrochemical analysis indicated the presence of highly fractrued zone at the depth of 60m.

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