• 제목/요약/키워드: Database Parameter

검색결과 239건 처리시간 0.032초

Fiber reinforced concrete corbels: Modeling shear strength via symbolic regression

  • Kurtoglu, Ahmet E;Gulsan, Mehmet E;Abdi, Hussein A;Kamil, Mohammed A;Cevik, Abdulkadir
    • Computers and Concrete
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    • 제20권1호
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    • pp.65-75
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    • 2017
  • In this study, a novel application of symbolic regression (SR) is employed for the prediction of ultimate shear strength of steel fiber reinforced (SFRC) and glass fiber reinforced (GFRC) corbels without stirrups, for the first time in the literature. A database is created using the test results (42 tests) conducted by the authors of current paper as well as the previous studies available in the literature. A symbolic regression based empirical formulation is proposed using this database. The formulation is unique in a way that it has the capability to predict the shear strength of both SFRC and GFRC corbels. The performance of proposed model is tested against randomly selected testing set. Additionally, a parametric study with a wide range of variables is carried out to test the effect of each parameter on the shear strength. The results confirm the high prediction capacity of proposed model.

Development of the Home Location Register/Authentication Center in the CDMA Mobile System

  • Lim, Sun-Bae;Shin, Kyeong-Suk;Kim, Hyun-Gon
    • ETRI Journal
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    • 제19권3호
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    • pp.186-201
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    • 1997
  • In this paper, a home location register (HLR) for CDMA mobile communication system (CMS) is introduced. It stores the mobile station (MS) subscribers locations and supplementary service information. Call processing procedures for HLR are developed to receive and store subscriber's location coming from mobile exchange (MX) during the location registration, and to transfer subscriber's location and supplementary service information to the MX during the mobile-terminated call setup. For fast call processing by increasing database access speed, a memory-resident database management system is devised. For Easy and secure HLR operation, administration and maintenance functions and overload control mechanisms are implemented. Designed HLR hardware platform is expandable and flexible enough to reallocated software blocks to any subsystems within the platform. It is configurable according to the size of subscribers. An authentication center (AC) is developed on the same platform. It screens the qualified MS from the unqualified. The calls to and from the unqualified MS are rejected in CMS. To authenticate the MS, the AC generates a new authentication parameter called "AUTHR" using shared secret data (SSD) and compared it with the other AUTHR received from the MS. The MC also generates and stores seed keys called "A-keys" which are used to generate SSDs. The HLR requirements, the AC requirements, software architecture, hardware platform, and test results are discussed.

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서로 다른 프리미티브 집합을 사용하는 CAD 시스템 사이에 선박 의장 설계 데이터의 교환 (Ship Outfitting Design Data Exchange between CAD Systems Using Different Primitive Set)

  • 이승훈;한순흥
    • 한국CDE학회논문집
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    • 제18권3호
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    • pp.234-242
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    • 2013
  • Different CAD systems are used in ship outfitting design on different usage and purpose. Therefore, data exchanges between CAD systems are required from different formats. For data exchange, boundary representation standard formats such as IGES and ISO 10303 (STEP) are widely used. However, they present only B-rep representation. Because of different CAD systems have their own geometry format, data exchanges with design intend are difficult. Especially, Tribon and PDMS use primitives for express their geometry in ship outfitting design. However, Tribon primitives are represented their parameter by values that are non-parametric. Therefore, data size of catalogue library is bigger than different CAD system using parametric primitive representation. And that system has difficulty on data reprocessing. To solve that problem, we discuss about shape DB which contains design parameters of primitive for exchange Tribon primitives. And geometry data exchange between Tribon and Shape Database that defines based on PDMS scheme are specified using primitive mapping that can represent design intend.

Ground motion intensity measure to evaluate seismic performance of rocking foundation system

  • Ko, Kil-Wan;Ha, Jeong-Gon
    • Earthquakes and Structures
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    • 제21권6호
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    • pp.563-576
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    • 2021
  • The rocking foundation is effective for reducing structural seismic demand and avoiding overdesign of the foundation. It is crucial to evaluate the performance of rocking foundations because they cause plastic hinging in the soil. In this study, to derive optimized ground motion intensity measures (IMs) for rocking foundations, the efficiency of IMs correlated with engineering demand parameters (EDPs) was estimated through the coefficient determination using a physical modeling database for rocking shallow foundations. Foundation deformations, the structural horizontal drift ratio, and contribution in drift from foundation rotation and sliding were selected as crucial EDPs for the evaluation of rocking foundation systems. Among 15 different IMs, the peak ground velocity exhibited the most efficient parameters correlated with the EDPs, and it was discovered to be an efficient ground motion IM for predicting the seismic performance of rocking foundations. For vector regression, which uses two IMs to present the EDPs, the IMs indicating time features improved the efficiency of the regression curves, but the correlation was poor when these are used independently. Moreover, the ratio of the column-hinging base shear coefficient to the rocking base shear coefficient showed obvious trends for the accurate assessment of the seismic performance of rocking foundation-structure systems.

Assessment of wall convergence for tunnels using machine learning techniques

  • Mahmoodzadeh, Arsalan;Nejati, Hamid Reza;Mohammadi, Mokhtar;Ibrahim, Hawkar Hashim;Mohammed, Adil Hussein;Rashidi, Shima
    • Geomechanics and Engineering
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    • 제31권3호
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    • pp.265-279
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    • 2022
  • Tunnel convergence prediction is essential for the safe construction and design of tunnels. This study proposes five machine learning models of deep neural network (DNN), K-nearest neighbors (KNN), Gaussian process regression (GPR), support vector regression (SVR), and decision trees (DT) to predict the convergence phenomenon during or shortly after the excavation of tunnels. In this respect, a database including 650 datasets (440 for training, 110 for validation, and 100 for test) was gathered from the previously constructed tunnels. In the database, 12 effective parameters on the tunnel convergence and a target of tunnel wall convergence were considered. Both 5-fold and hold-out cross validation methods were used to analyze the predicted outcomes in the ML models. Finally, the DNN method was proposed as the most robust model. Also, to assess each parameter's contribution to the prediction problem, the backward selection method was used. The results showed that the highest and lowest impact parameters for tunnel convergence are tunnel depth and tunnel width, respectively.

Noise Estimation based on Standard Deviation and Sigmoid Function Using a Posteriori Signal to Noise Ratio in Nonstationary Noisy Environments

  • Lee, Soo-Jeong;Kim, Soon-Hyob
    • International Journal of Control, Automation, and Systems
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    • 제6권6호
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    • pp.818-827
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    • 2008
  • In this paper, we propose a new noise estimation and reduction algorithm for stationary and nonstationary noisy environments. This approach uses an algorithm that classifies the speech and noise signal contributions in time-frequency bins. It relies on the ratio of the normalized standard deviation of the noisy power spectrum in time-frequency bins to its average. If the ratio is greater than an adaptive estimator, speech is considered to be present. The propose method uses an auto control parameter for an adaptive estimator to work well in highly nonstationary noisy environments. The auto control parameter is controlled by a linear function using a posteriori signal to noise ratio(SNR) according to the increase or the decrease of the noise level. The estimated clean speech power spectrum is obtained by a modified gain function and the updated noisy power spectrum of the time-frequency bin. This new algorithm has the advantages of much more simplicity and light computational load for estimating the stationary and nonstationary noise environments. The proposed algorithm is superior to conventional methods. To evaluate the algorithm's performance, we test it using the NOIZEUS database, and use the segment signal-to-noise ratio(SNR) and ITU-T P.835 as evaluation criteria.

음성의 피치 파라메터를 사용한 감정 인식 (Emotion Recognition using Pitch Parameters of Speech)

  • 이규현;김원구
    • 한국지능시스템학회논문지
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    • 제25권3호
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    • pp.272-278
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    • 2015
  • 본 논문에서는 음성신호 피치 정보를 이용한 감정 인식 시스템 개발을 목표로 피치 정보로부터 다양한 파라메터 추출방법을 연구하였다. 이를 위하여 다양한 감정이 포함된 한국어 음성 데이터베이스를 이용하여 피치의 통계적인 정보와 수치해석 기법을 사용한 피치 파라메터를 생성하였다. 이러한 파라메터들은 GMM(Gaussian Mixture Model) 기반의 감정 인식 시스템을 구현하여 각 파라메터의 성능을 비교되었다. 또한 순차특징선택 방법을 사용하여 최고의 감정 인식 성능을 나타내는 피치 파라메터들을 선정하였다. 4개의 감정을 구별하는 실험 결과에서 총 56개의 파라메터중에서 15개를 조합하였을 때 63.5%의 인식 성능을 나타내었다. 또한 감정 검출 여부를 나타내는 실험에서는 14개의 파라메터를 조합하였을 때 80.3%의 인식 성능을 나타내었다.

가중변수법에 의한 국가좌표계 변환요소의 산정 (National Datum Transformation Parameters of South Korea Using Weighted Parameter Constraints)

  • 이영진
    • 한국측량학회지
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    • 제15권1호
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    • pp.29-39
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    • 1997
  • 최근 LIS/GIS측량과 지적조사 등의 분야에서는 위성측위시스템(GPS릿 활용이 보편화됨에 따라 지역측지계에서 지구중심좌표계로 변환하기 위한 국가변환요소를 필요로 하고 있다. 이 논문에서는 벳셀타원체 기준의 한국측지좌표와 WGS84좌표간의 변환요소를 가중변수에 의한 최소제곱해법에 따라 결정하였다. 국가기준점망의 31개 측점에 대한 GPS관측으로부터 결정된 지심3차원좌표의 GPS성과와 실용성과 또는 정밀1차성과간의 기준계 변환요소는 표준편차 1미터 이내이며 벳셀지오이드고를 고려할 때 GPS기선해석을 위한 초기좌표결정과 중축척지도의 변환과 LIS/GIS 데이터베이스의 수정에 이용할 수 있는 것으로 분석되었다.

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Limit load equations for partially restrained RC slabs

  • Olufemi, O.O.;Cheung, K.L.;Hossain, K.M.A.
    • Structural Engineering and Mechanics
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    • 제19권1호
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    • pp.1-20
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    • 2005
  • The expertise required in the judicious use of nonlinear finite element (FE) packages for design-assistance purposes is not widely available to the average engineer, whose sole aim may be to obtain an estimate for a single design parameter, such as the limit load capacity of a structure. Such a parameter may be required for the design of a proposed reinforced concrete (RC) floor slab or bridge deck with a given set of geometrical and material details. This paper outlines a procedure for developing design-assistance equations for carrying out such predictions for partially restrained RC slabs under uniformly distributed loading condition, based on a database of FE results previously generated from a large number of 'numerical model' slabs. The developed equations have been used for predicting the peak loads of a number of experimental RC slabs having varying degrees of edge restraints; with results showing a reasonable degree of accuracy and low level of scatter. The simplicity of the equations makes them attractive and their successful use in the field of application reported in this paper suggest that the outlined procedure may also be extended to other classes of concrete structures.

연소파 로켓 점화기의 T형 분기관내 데토네이션파 전파 (Detonation Wave Propagation Through a T-type Branch Tube in Combustion Wave Rocket Igniter)

  • 최정열
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2003년도 제20회 춘계학술대회 논문집
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    • pp.221-224
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    • 2003
  • T-분기관을 전파하는 데토네이션 파에 대한 수치적 연구가 수행되었다. T-분기관은 데토네이션 파를 이용하여 여러 개의 연소기를 점화시키는 연소파 점화기라는 새로운 로켓 점화체계의 핵심 부분이다. Euler 방정식과 Induction parameter 방정식이 지배방정식으로 이용되었으며 반응 항은 상세 반응 기구로 얻어진 화학 반응 데이터베이스로부터 모델 되었다. 연계된 방정식의 풀이에는 2차 정확도의 내재적 시간적분과 3차 정확도의 TVD 알고리즘이 이용되었다. 2백만 개를 초과하는 격자를 이용하여 붕괴와 재 점화를 포함하는 데토네이션파의 거동을 포착할 수 있었으며, 연소파 점화기 화염관의 설계 요소를 얻었다.

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