• Title/Summary/Keyword: well log data

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A Study of the Back-tracking Techniques against Hacker's Mobile Station on WiBro (WiBro에서 공격 이동단말에 대한 역추적기법 연구)

  • Park, Dea-Woo;Lim, Seung-In
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.3
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    • pp.185-194
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    • 2007
  • WiBro has become intentionally standardize as IEEE 802.16e. This WiBro service has been started by a portable internet at home as well as abroad. In this paper, an offender hacker do not direct attack on system on system that It marched an attack directly in damage system because a place oneself in mobile station of portable internet WiBro and avoid to attack hacker's system. At this time, a mobile make use of network inspection policy for back-tracking based on log data. Used network log audit, and presented TCP/IP bases at log bases as used algorithm, the SWT technique that used Thumbprint Algorithm. Timing based Algorithm, TCP Sequence number. Study of this paper applies algorithm to have been progressed more that have a speed to be fast so that is physical logical complexity of configuration of present Internet network supplements a large disadvantage, and confirm an effective back-tracking system. result of research of this paper contribute to realize a back-tracking technique in ubiquitous in WiBro internet network.

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Detection of formation boundaries and permeable fractures based on frequency-domain Stoneley wave logs

  • Saito Hiroyuki;Hayashi Kazuo;Iikura Yoshikazu
    • Geophysics and Geophysical Exploration
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    • v.7 no.1
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    • pp.45-50
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    • 2004
  • This paper describes a method of detecting formation boundaries, and permeable fractures, from frequency-domain Stoneley wave logs. Field data sets were collected between the depths of 330 and 360 m in well EE-4 in the Higashi-Hachimantai geothermal field, using a monopole acoustic logging tool with a source central frequency of 15 kHz. Stoneley wave amplitude spectra were calculated by performing a fast Fourier transform on the waveforms, and the spectra were then collected into a frequency-depth distribution of Stoneley wave amplitudes. The frequency-domain Stoneley wave log shows four main characteristic peaks at frequencies 6.5, 8.8, 12, and 13.3 kHz. The magnitudes of the Stoneley wave at these four frequencies are affected by formation properties. The Stoneley wave at higher frequencies (12 and 13.3 kHz) has higher amplitudes in hard formations than in soft formations, while the wave at lower frequencies (6.5 and 8.8 kHz) has higher amplitudes in soft formations than in hard formations. The correlation of the frequency-domain Stoneley wave log with the logs of lithology, degree of welding, and P-wave velocity is excellent, with all of them showing similar discontinuities at the depths of formation boundaries. It is obvious from these facts that the frequency-domain Stoneley wave log provides useful clues for detecting formation boundaries. The frequency-domain Stoneley wave logs are also applicable to the detection of a single permeable fracture. The procedure uses the Stoneley wave spectral amplitude logs at the four frequencies, and weighting functions. The optimally weighted sum of the four Stoneley wave spectral amplitudes becomes almost constant at all depths, except at the depth of a permeable fracture. The assumptions that underlie this procedure are that the energy of the Stoneley wave is conserved in continuous media, but that attenuation of the Stoneley wave may occur at a permeable fracture. This attenuation may take place at anyone of the four characteristic Stoneley wave frequencies. We think our multispectral approach is the only reliable method for the detection of permeable fractures.

Overall damage identification of flag-shaped hysteresis systems under seismic excitation

  • Zhou, Cong;Chase, J. Geoffrey;Rodgers, Geoffrey W.;Xu, Chao;Tomlinson, Hamish
    • Smart Structures and Systems
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    • v.16 no.1
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    • pp.163-181
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    • 2015
  • This research investigates the structural health monitoring of nonlinear structures after a major seismic event. It considers the identification of flag-shaped or pinched hysteresis behavior in response to structures as a more general case of a normal hysteresis curve without pinching. The method is based on the overall least squares methods and the log likelihood ratio test. In particular, the structural response is divided into different loading and unloading sub-half cycles. The overall least squares analysis is first implemented to obtain the minimum residual mean square estimates of structural parameters for each sub-half cycle with the number of segments assumed. The log likelihood ratio test is used to assess the likelihood of these nonlinear segments being true representations in the presence of noise and model error. The resulting regression coefficients for identified segmented regression models are finally used to obtain stiffness, yielding deformation and energy dissipation parameters. The performance of the method is illustrated using a single degree of freedom system and a suite of 20 earthquake records. RMS noise of 5%, 10%, 15% and 20% is added to the response data to assess the robustness of the identification routine. The proposed method is computationally efficient and accurate in identifying the damage parameters within 10% average of the known values even with 20% added noise. The method requires no user input and could thus be automated and performed in real-time for each sub-half cycle, with results available effectively immediately after an event as well as during an event, if required.

Joint probability density function of droplet sizes and velocities in a transient diesel spray (간헐디젤분무의 액적크기 및 속도의 공동확률밀도함수)

  • Kim, Jong-Hyeon;Gu, Ja-Ye;O, Du-Suk
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.22 no.5
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    • pp.607-617
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    • 1998
  • Comparisons of joint probability density distribution obtained from the raw data of measured droplet sizes and velocities in a transient diesel fuel spray with computed joint probability density function were made. Simultaneous droplet sizes and velocities were obtained using PDPA. Mathematical probability density functions which can fit the experimental distributions were extracted using the principle of maximum likelihood. Through the statistical process of functions, mean droplet diameters, non-dimensional mass, momentum and kinetic energy were estimated and compared with the experimental ones. A joint log-hyperbolic density function presents quite well the experimental joint density distribution which were extracted from experimental data.

The least squares estimation for failure step-stress accelerated life tests

  • Kim, In-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.4
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    • pp.813-818
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    • 2010
  • The least squares estimation method for model parameters under failure step-stress accelerated life tests is studied and a numerical example will be given to illustrate the proposed inferential procedures under the compound linear plans proposed as an alternative to the optimal quadratic plan, assuming that the exponential distribution with a quadratic relationship between stress and log-mean lifetime. The proposed compound linear plan for constant stress accelerated life tests and 4:2:1 plan are compared for various situations. Even though the compound linear plan was proposed under constant stress accelerated life tests, we found that this plan did well relatively in failure step-stress accelerated life tests.

Dispersion curve and Spectral Density in Sonic Log (음파검층에서의 분산 곡선 및 Spectral Density)

  • Kim, Jong-Man;Zhao, Weijun;Park, Sung-Kun;Hwang, Byung-Chul;Lee, Sung-Jin;Kim, Yeong-Hwa
    • 한국지구물리탐사학회:학술대회논문집
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    • 2007.06a
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    • pp.323-328
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    • 2007
  • We derived the dispersion curves and spectral density for several models constructed from physical property data of representative geology in Korea. Comparison between monopole and dipole sources, between physical properties, and between dispersion curves and spectral density maps have been made. The result was very helpful in sonic data acquisition as well as velocity determination.

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Statistical Aspects and the Extimation Scheme of the Short Term Concentration of Air Pollution (大氣汚染濃度의 發生頻度特徵 및 推定法 評價)

  • Lee, Chog-Bum;Kang, In-Goo
    • Journal of Korean Society for Atmospheric Environment
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    • v.5 no.1
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    • pp.88-95
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    • 1989
  • The aspects of the occurence frequency of $SO_2$ concentration were studied with the observed data in Seoul and the scheme that is capable of estimating not only highest concentration for a variety of averaging times but also concentrations for arbitary occurrence frequency with long term arithmatic mean and geometric standard deviation data, was evaluated. The results of the statistical analysis show that the occurrence frequency is almost log normal except a few cases, and 3rd highest values of daily mean concentration were about 4.2 $\sim$ 5.2 times higher than annual arithmatic mean. The evaluation with the observed hourly concentration shows that the scheme fairly well estimate the short concentration of arbitary occurrence frequence and it can be used for air quality management and environmental impact assessment.

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Testing Web Feeding Model for Star Formation in Galaxy Clusters in the COSMOS Field

  • Ko, Eunhee;Im, Myungshin;Lee, Seong-Kook;Hyun, Minhee
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.1
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    • pp.52.3-53
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    • 2021
  • It is yet to be understood what controls the star formation activity in high-redshift galaxy clusters. One recently proposed mechanism is that the star formation activity in galaxy clusters are fed by gas and galaxies in large-scale structures surrounding them, which we call as "web feeding model". Using galaxies in the COSMOS2015 catalog, with mass completeness at log(M/M⦿)≥9.54 and reliable photometric redshift data (σΔz/(1+z) ≲ 0.01), we study the star formation activities of galaxy clusters and their surrounding environment to test the web feeding model. We first identify the overdense regions with number density exceeding the 4σ-level from photometric redshift data as galaxy clusters, and we find that they are well matched with clusters identified in the X-ray extended source catalog. Furthermore, we identify galaxy large scale structures, and will present the correlation or anti-correlation between quiescent galaxy fraction, an indicator of star-forming activity, and the prevalence of galaxy large scale structures.

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Studies on the Variation Pattern of Water Resources and their Generation Models by Simulation Technique (Simulation Technique에 의한 수자원의 변동양상 및 그 모의발생모델에 관한 연구)

  • Lee, Sun-Tak;An, Gyeong-Su;Lee, Ui-Rak
    • Water for future
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    • v.9 no.2
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    • pp.87-100
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    • 1976
  • These studies are aimed at the analysis of systematic variation pattern of water resources in Korean river catchments and the development of their simulation models from the stochastic analysis of monthly and annual hydrologic data as main elements of water resources, i.e. rainfall and streamflow. In the analysis, monthly & annual rainfall records in Soul, Taegu, Pusan and Kwangju and streamflow records at the main gauging stations in Han, Nakdong and Geum river were used. Firstly, the systematic variation pattern of annual streamflow was found by the exponential function relationship between their standard deviations and mean values of log-annual runoff. Secondly, stochastic characteristics of annual rainfall & streamflow series were studied by the correlogram Monte Carlo method and a single season model of 1st-order Markov type were applied and compared in the simulation of annual hydrologic series. In the simulation, single season model of Markov type showed better results than LN-model and the simulated data were fit well with historical data. But it was noticed that LN-model gave quite better results in the simulation of annual rainfall. Thirdly, stochastic characteristics of monthly rainfall & streamflow series were also studied by the correlogram and spectrum analysis, and then the Model-C, which was developed and applied for the synthesis of monthly perennial streamflow by lst author and is a Markov type model with transformed skewed random number, was used in the simulation of monthly hydrologic series. In the simulation, it was proved that Model-C was fit well for extended area in Korea and also applicable for menthly rainfall as well as monthly streamflow.

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Random heterogeneous model with bimodal velocity distribution for Methane Hydrate exploration (바이모달 분포형태 랜덤 불균질 매질에 의한 메탄하이드레이트층 모델화)

  • Kamei Rie;Hato Masami;Matsuoka Toshifumi
    • Geophysics and Geophysical Exploration
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    • v.8 no.1
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    • pp.41-49
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    • 2005
  • We have developed a random heterogeneous velocity model with bimodal distribution in methane hydrate-bearing Bones. The P-wave well-log data have a von Karman type autocorrelation function and non-Gaussian distribution. The velocity histogram has two peaks separated by several hundred metres per second. A random heterogeneous medium with bimodal distribution is generated by mapping of a medium with a Gaussian probability distribution, yielded by the normal spectral-based generation method. By using an ellipsoidal autocorrelation function, the random medium also incorporates anisotropy of autocorrelation lengths. A simulated P-wave velocity log reproduces well the features of the field data. This model is applied to two simulations of elastic wane propagation. Synthetic reflection sections with source signals in two different frequency bands imply that the velocity fluctuation of the random model with bimodal distribution causes the frequency dependence of the Bottom Simulating Reflector (BSR) by affecting wave field scattering. A synthetic cross-well section suggests that the strong attenuation observed in field data might be caused by the extrinsic attenuation in scattering. We conclude that random heterogeneity with bimodal distribution is a key issue in modelling hydrate-bearing Bones, and that it can explain the frequency dependence and scattering observed in seismic sections in such areas.