• Title/Summary/Keyword: Differential analysis

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Instrumentation Management of Differential Settlement of the Deep Soft Ground with Dredged Clay Reclaimed in the Upper (대심도 준설 매립지반에서의 층별침하 계측관리에 관한 사례 연구)

  • Tae-Hyung Kim;Seung-Chan Kang;Ji-Gun Chang;Soung-Hun Heo
    • Journal of the Korean Geosynthetics Society
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    • v.22 no.1
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    • pp.87-96
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    • 2023
  • There are a lot of difference between the surface settlement and the differential settlement measured at the Busan New Port, where the dredged and reclaimed clay layer exists and below the clay is originally thickly distributed. To find the cause and solution of this, the actual conditions of each differential settlement used for the soft ground improvement, characteristics, installation method, measurement frequency, measurement data management, and data analysis of each type were considered. In the deep soft ground improvement work where large deformation occurs, the bending deformation of the screw-type differential settlement gauge is less than that of other types of measuring instruments, so there is less risk of loss, and the reliability of data is relatively high as the instruments are installed by drilling for each stratum. Since the greater the amount of high-precision settlement measurement data, the higher the settlement analysis precision. It is necessary to manage with higher criteria than the measurement frequency suggested in the standard specification. For the data management of the differential settlement gauge, it is desirable to create graphs of the settlement and embankment height of the relevant section over time, such as surface, differential, and settlement of pore water pressure gauge for each point. In the case of multi-layered ground with different compression characteristics, it is more appropriate to perform settlement analysis by calculating the consolidation characteristics of each stratum using a differential settlement data.

Investigation on Differential Settlement Characteristics of the Final Landfill Cover Used SRSL (부등침하 발생 시 SRSL이 적용된 매립지 최종복토층의 침하 특성 검토)

  • Kwon, Oh-Jung;Oh, Myoung-Hak;Cho, Wan-Jei;Park, Jun-Boum
    • Journal of the Korean Geosynthetics Society
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    • v.8 no.4
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    • pp.9-17
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    • 2009
  • This research was intended to verify the stability of landfill final cover using SRSL(Self Recovering Sustainable Liner) with regard to differential settlements due to the degradation of waste and so on in a waste landfill. Numerical analysis was performed using FLAC 2D software program with input parameters based on soil characteristic tests and reference data after the blank was designed in order to represent the decomposition condition of waste. The maximum settlement of landfill cover was calculated to investigate the structural stability of landfill cover with the different condition of settlement width, settlement depth, and number of differential settlements. The allowable maximum deformation rate of SRSL, which was calculated using field permeability tests, was 6 mm. The analysis showed that SRSL was stable in case of a differential settlement width not exceeding 24.5% of total cover width.

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A Study on Center Detection and Motion Analysis of a Moving Object by Using Kohonen Networks and Time Delay Neural Networks (코호넨 네트워크 및 시간 지연 신경망을 이용한 움직이는 물체의 중심점 탐지 및 동작특성 분석에 관한 연구)

  • Hwang, Jung-Ku;Kim, Jong-Young;Jang, Tae-Jeong
    • Journal of Industrial Technology
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    • v.21 no.B
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    • pp.91-98
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    • 2001
  • In this paper, center detection and motion analysis of a moving object are studied. Kohonen's self-organizing neural network models are used for the moving objects tracking and time delay neural networks are used for dynamic characteristic analysis. Instead of objects brightness, neuron projections by Kohonen Networks are used. The motion of target objects can be analyzed by using the differential neuron image between the two projections. The differential neuron image which is made by two consecutive neuron projections is used for center detection and moving objects tracking. The two differential neuron images which are made by three consecutive neuron projections are used for the moving trajectory estimation. It is possible to distinguish 8 directions of a moving trajectory with two frames and 16 directions with three frames.

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ANALYTICAL TECHNIQUES FOR SYSTEM OF TIME FRACTIONAL NONLINEAR DIFFERENTIAL EQUATIONS

  • Choi, Junesang;Kumar, Devendra;Singh, Jagdev;Swroop, Ram
    • Journal of the Korean Mathematical Society
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    • v.54 no.4
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    • pp.1209-1229
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    • 2017
  • We coupled the so-called Sumudu transform with the homotopy perturbation method (HPM) and the homotopy analysis method (HAM), which are called homotopy perturbation Sumudu transform method (HPSTM) and homotopy analysis Sumudu transform method (HASTM), respectively. Then we show how HPSTM and HASTM are more convenient than HPM and HAM by conducting a comparative analytical study for a system of time fractional nonlinear differential equations. A Maple package is also used to enhance the clarity of the involved numerical simulations.

cDNA Cloning of Farnesoic Acid-Induced Genes in Candida albicans by Differential Display Analysis

  • CHUNG SOON-CHUN;LEE JI-YOON;OH KI-BONG
    • Journal of Microbiology and Biotechnology
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    • v.15 no.5
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    • pp.1146-1151
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    • 2005
  • The yeast Candida albicans has a distinguishing feature, dimorphism, which is the ability to switch between two morphological forms: a budding yeast form and a multicellular invasive filamentous form. This ability has been postulated to contribute to the virulence of this organism. Previously, we reported that the yeast-to-hypha transition in this organism is suppressed by farnesoic acid, a morphogenic autoregulatory substance that accumulates in the medium as the cells proliferate. In this study, using a differential display reverse transcription polymerase chain reaction (DDRT-PCR) technique, we have identified several genes induced in C. albicans by farnesoic acid treatment. These observations indicate that farnesoic acid can alter the expressivity of multiple genes, including the DNA replication machinery and cell-cycle-control proteins.

Differential Fault Analysis on Block Cipher Piccolo-80 (블록 암호 Piccolo-80에 대한 차분 오류 공격)

  • Jeong, Ki-Tae
    • Journal of Advanced Navigation Technology
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    • v.16 no.3
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    • pp.510-517
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    • 2012
  • Piccolo-80 is a 64-bit ultra-light block cipher suitable for the constrained environments such as wireless sensor network environments. In this paper, we propose a differential fault analysis on Piccolo-80. Based on a random byte fault model, our attack can the secret key of Piccolo-80 by using the exhaustive search of $2^{24}$ and six random byte fault injections on average. It can be simulated on a general PC within a few seconds. This result is the first known side-channel attack result on Piccolo-80.

Analysis of Orthotropic Spherical Shells under Symmetric Load Using Runge-Kutta Method (Runge-Kutta법을 이용한 축대칭 하중을 받는 직교 이방성 구형쉘의 해석)

  • Kim, Woo-Sik;Kwun, Ik-No;Kwun, Taek-Jin
    • Journal of Korean Association for Spatial Structures
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    • v.2 no.3 s.5
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    • pp.115-122
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    • 2002
  • It is often hard to obtain analytical solutions of boundary value problems of shells. Introducing some approximations into the governing equations may allow us to get analytical solutions of boundary value problems. Instead of an analytical procedure, we can apply a numerical method to the governing equations. Since the governing equations of shells of revolution under symmetric load are expressed by ordinary differential equations, a numerical solution of ordinary differential equations is applicable to solve the equations. In this paper, the governing equations of orthotropic spherical shells under symmetric load are derived from the classical theory based on differential geometry, and the analysis is numerically carried out by computer program of Runge-Kutta methods. The numerical results are compared to the solutions of a commercial analysis program, SAP2000, and show good agreement.

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Semantic Differential Analysis of the Soundscape in Urban Park

  • Song, Xiu-Hua;Cho, Tae-Dong;Piao, Yong-Ji
    • Journal of Environmental Science International
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    • v.21 no.9
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    • pp.1053-1058
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    • 2012
  • In this study, soundscape was analyzed through physical measurement and social surveys. The results showed that, soundscape components were related to functional partitions and tourist activities, at the same time influenced by ambient noise. The sound pressure levels showed daily regular changes. Semantic differential analysis showed that the evaluation of the soundscape in urban park was rather complicated. It was still possible to identify major factors including relaxation, spatiality and environment. The results provided theoretical basis for improving urban park soundscape, and called attention to this problem.

A Study on Center Detection and Motion Analysis of a Moving Object by Using Kohonen Networks and Time Delay Neural Networks

  • Kim, Jong-Young;Hwang, Jung-Ku;Jang, Tae-Jeong
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.63.5-63
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    • 2001
  • In this paper, moving objects tracking and dynamic characteristic analysis are studied. Kohonen´s self-organizing neural network models are used for moving objects tracking and time delay neural networks are used for dynamic characteristic analysis. Instead of objects brightness, neuron projections by Kohonen Networks are used. The motion of target objects can be analyzed by using the differential neuron image between the two projections. The differential neuron image which is made by two consecutive neuron projections is used for center detection and moving objects tracking. The two differential neuron images which are made by three consecutive neuron projections are used for the moving trajectory estimation.

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Analysis of Multi-Differential GNSS Positioning Accuracy in Various Signal Reception Environments

  • Tae, Hyunu;Kim, Hye-In;Park, Kwan-Dong
    • Journal of Positioning, Navigation, and Timing
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    • v.7 no.1
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    • pp.15-24
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    • 2018
  • This study analyzed positioning accuracy of the multi-differential global navigation satellite system (DGNSS) algorithm that integrated GPS, GLONASS, and BDS. Prior to the analysis, four sites of which satellite observation environment was different were selected, and satellite observation environments for each site were analyzed. The analysis results of the algorithm performance at each of the survey points showed that high positioning performance was obtained by using DGPS only without integration of satellite navigation systems in the open sky environment but the positioning performance of multi-DGNSS became higher as the satellite observation environments degraded. The comparison results of improved positioning performance of the multi-DGNSS at the poor reception environment compared to differential global positioning system (DGPS) positioning results showed that horizontal accuracy was improved by 78% and vertical accuracy was improved by 65% approximately.