• 한국음향학회지
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• 제32권5호
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• pp.415-422
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• 2013

본 논문에서는 경첩 손실 함수를 최소화를 통해서 강인한 이진 오디오 핑거프린팅 방법을 제안하였다. 특히 제안된 방법에서 오디오 핑거프린트는 이진값을 가지므로 핑거프린트 DB 크기를 줄여줄 수 있는 장점이 있다. 일반적으로 특징을 이진화하는 과정에서 핑거프린트의 강인성, 식별성 등 성능의 손실이 불가피하므로 손실을 최소화하는 것이 필요하다. 본 논문에서는 핑거프린팅에서 두 오디오 클립 간의 유사도가 경첩 함수 형태로 주어지는 것에 착안하여 경첩 손실을 최소화하는 방법으로 특징을 이진화하여 핑거프린트를 구하는 방법을 제안한다. 유도된 경첩 손실 함수는 최소 손실 해싱 기법을 통해서 최소화 하였다. 수 천곡 규모의 오디오에 대해서 다양한 변환들에 대한 인식 성능을 실험하였으며, 제안된 경첩 손실 함수 최소화를 통해서 핑거프린트의 식별성과 강인성이 개선됨을 확인하였다.

• Journal of the Korean Data and Information Science Society
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• 제17권3호
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• pp.905-912
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• 2006

Support vector classification(SVC) provides more complete description of the linear and nonlinear relationships between input vectors and classifiers. In this paper we propose to solve the optimization problem of SVC with a modified hinge loss function, which enables to use an iterative reweighted least squares(IRWLS) procedure. We also introduce the approximate cross validation function to select the hyperparameters which affect the performance of SVC. Experimental results are then presented which illustrate the performance of the proposed procedure for classification.

• Steel and Composite Structures
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• 제28권6호
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• pp.767-778
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• 2018

The purpose of this study is to investigate how a fully restrained bolted beam splice affects the connection behavior as a column-tree connection in steel special moment frames under cyclic loading when located within the plastic hinge zone. The impacts of this attachment in protected zone are observed by using nonlinear finite element analyses. This type of splice connection is designed as slip-critical connection and thereby, the possible effects of slippage of the bolts due to a possible loss of pretension in the bolts are also investigated. The 3D models with solid elements that have been developed includes three types of connections which are the connection having fully restrained beam splice located in the plastic hinge location, the connection having fully restrained beam splice located out of the plastic hinge and the connection without beam splice. All connection models satisfied the requirement for the special moment frame connections providing sufficient flexural resistance, determined at column face stated in AISC 341-16. In the connection model having fully restrained beam splice located in the plastic hinge, due to the pretension loss in the bolts, the friction force on the contact surfaces is exceeded, resulting in a relative slip. The reduction in the energy dissipation capacity of the connection is observed to be insignificant. The possibility of the crack occurrence around the bolt holes closest to the column face is found to be higher for the splice connection within the protected zone.

• Journal of the Korean Data and Information Science Society
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• 제20권4호
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• pp.749-755
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• 2009

Support vector classification (SVC) provides more complete description of the lin-ear and nonlinear relationships between input vectors and classifiers. In this paper. we propose the sparse kernel classifier to solve the optimization problem of classification with a modified hinge loss function and absolute loss function, which provides the efficient computation and the sparsity. We also introduce the generalized cross validation function to select the hyper-parameters which affects the classification performance of the proposed method. Experimental results are then presented which illustrate the performance of the proposed procedure for classification.

• Computers and Concrete
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• 제32권2호
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• pp.139-148
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• 2023

The purpose of this paper is to numerically assess the seismic performance of deteriorated reinforced concrete columns using a new plastic-hinge element. Developing a three dimensional (3D) nonlinear model can be difficult and computationally complex, and there can be problems applying it in the field. Thus, to solve these problems, a plastic-hinge element that could considers the shear deformation of deteriorated reinforced concrete columns was proposed. The developed element was based on the Timoshenko beam model and used two nodes with six degrees of freedom and a zero-length element. Moreover, the developed model could consider the combined effects of corrosion, as demonstrated by the reduced reinforcement area and the loss of bond. Consequently, the numerical procedures developed for evaluating the seismic performance of deteriorated columns were validated by comparing the verification results.

• Computers and Concrete
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• 제2권5호
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• pp.367-380
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• 2005

Recent earthquakes have shown that many of existing buildings in Iran sustain heavy damage due to defective seismic details. To assess vulnerability of one common type of buildings, which consists of low rise framed concrete structures, three defective and three standard columns have been tested under reversed cyclic load. The substandard specimens suffered in average 37% loss of strength and 45% loss of energy dissipation capacity relative to standard specimens, and this was mainly due to less lateral and longitudinal reinforcement and insufficient sectional dimensions. A relationship has been developed to introduce variation of plastic length under increasing displacement amplitude. At ultimate state, the length of plastic hinge is almost equal to full depth of section. Using calibrated hysteresis models, the response of different specimens under two earthquakes has been analyzed. The analysis indicated that the ratio between displacement demand and capacity of standard specimens is about unity and that of deficient ones is about 1.7.

• 한국가스학회지
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• 제3권3호
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• pp.39-44
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• 1999

일반강구조물로 많이 사용되고 있는 SM20C, BsC3 및 STC4H에 대하여, 여러 가지 부식환경(지하수($6,000{\Omega}{\cdot}cm$), $0.5\%\;H_2SO_4$ 및 $0.5\%HNO_3$)침지하에서의 부식특성 및 건조상태에서의 찰과마멸특성실험에 의한 이종금속간의 찰과마멸특성을 고찰하였다. 침지시험의 경우, 이들 금속의 전위값은 $HNO_3$, 지하수, $H_2SO_4$ 순으로 크게 나타났으며, BsC3을 제외한 동재금속보다 이종금속의 전위가 높았다. 동종재인 SM20C의 마멸은 회전측의 경우가 이동측보다 약 1.9배 증가하였으며, 이는 마찰력에 의한 표면경화가 그 원인인 것으로 추측된다.

• Earthquakes and Structures
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• 제26권3호
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• pp.175-189
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• 2024

Aiming at studying the plastic hinge (PH) evolution regularities and failure mode of rocking wall moment frame (RWMF) structure in earthquakes, the whole-working history analysis of seismic performance state of RWMF structure based on co-operation performance and PH evolution was carried out. Building upon the theoretical analysis of the elastic internal forces and deformations of RWMF structures, nonlinear finite element analysis (FEA) methods were employed to perform both Pushover analysis and seismic response time history analysis under different seismic coefficients (δ). The relationships among PH occurrence ratios (R_ph), inter-story drifts and δ were established. Based on the plotted curve of the seismic performance states, evaluation limits for the R_ph and inter-story drifts were provided for different performance states of RWMF structures. The results indicate that the R_ph of RWMF structures exhibits a nonlinear evolution trend of "fast at first, then slow" with the increasing of δ. The general pattern is characterized by the initial development of beam hinges in the middle stories, followed by the development towards the top and bottom stories until the beam hinges are fully formed. Subsequently, the development of column hinges shifts from the bottom and top stories towards the middle stories of the structure, ultimately leading to the loss of seismic lateral capacity with a failure mode of partial beam yield, demonstrating a global yielding pattern. Moreover, the limits for the R_ph and inter-story drifts effectively evaluate the five different performance states of RWMF structures.

• Journal of the Korean Statistical Society
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• 제36권3호
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• pp.367-372
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• 2007

Classification as a tool to extract information from data plays an important role in science and engineering. Among various classification methodologies, support vector machine has recently seen significant developments. The central problem this paper addresses is the accuracy of support vector machine. In particular, we are interested in the situations where fast rates of convergence to the Bayes risk can be achieved by support vector machine. Through learning examples, we illustrate that support vector machine may yield fast rates if the space spanned by an adopted kernel is sufficiently large.

• Communications for Statistical Applications and Methods
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• 제19권5호
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• pp.655-662
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• 2012

Classification is an important research field in pattern recognition with high-dimensional predictors. The support vector machine(SVM) is a penalized feature selector and classifier. It is based on the hinge loss function, the non-convex penalty function, and the smoothly clipped absolute deviation(SCAD) suggested by Fan and Li (2001). We developed the algorithm for the multiclass SVM with the SCAD penalty function using the local quadratic approximation. For multiclass problems we compared the performance of the SVM with the $L_1$, $L_2$ penalty functions and the developed method.