• Journal of Electrical Engineering and Technology
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• 제13권6호
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• pp.2511-2520
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• 2018

In this study, Multi-Radial Basis Function Support Vector Machine (Multi-RBF SVM) classifier is introduced based on a composite kernel function. In the proposed multi-RBF support vector machine classifier, the input space is divided into several local subsets considered for extremely nonlinear classification tasks. Each local subset is expressed as nonlinear classification subspace and mapped into feature space by using kernel function. The composite kernel function employs the dual RBF structure. By capturing the nonlinear distribution knowledge of local subsets, the training data is mapped into higher feature space, then Multi-SVM classifier is realized by using the composite kernel function through optimization procedure similar to conventional SVM classifier. The original training data set is partitioned by using some unsupervised learning methods such as clustering methods. In this study, three types of clustering method are considered such as Affinity propagation (AP), Hard C-Mean (HCM) and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA). Experimental results on benchmark machine learning datasets show that the proposed method improves the classification performance efficiently.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.224-229
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• 1993

The robot has spread remarkably, is used not only in manufacturing but also in various other fields, and is becoming more popular in everyday life. At the same time, the functional demands for all manner of robots have been diversified. Education regarding robots has been developing in the computer, mechanism, sensor and artificial intelligence fields. Technical education which integrates all of the above is necessary and in great demand. We have developed an educational robot so that it can be used in education in fields including structure, sensory and brain function and can also organically integrate those.

• 한국정밀공학회지
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• 제17권7호
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• pp.170-180
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• 2000

In this paper, to evaluate ease of exchange of subassembly considering module, it needs to analyze structure and function of subassembly, assembly and disassembly process. Exchange process of module can be divided into pre-process and in-process, and determination factors of exchange process are defined by analyzing characteristics of assembly and disassembly process. Based on the analysis of characteristics for structure and function of subassembly, influential factors of module can be proposed. Considered the interrelationship between determination factors of ease of exchange and influencing factors of module, ease of exchange can be evaluated.

• Structural Engineering and Mechanics
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• 제63권6호
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• pp.825-835
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• 2017

Significant improvements to methodologies on structural damage detection (SDD) have emerged in recent years. However, many methods are related to inversion computation which is prone to be ill-posed or ill-conditioning, leading to low-computing efficiency or inaccurate results. To explore a more accurate solution with satisfactory efficiency, a PSO-INM algorithm, combining particle swarm optimization (PSO) algorithm and an improved Nelder-Mead method (INM), is proposed to solve multi-sample objective function defined based on Bayesian inference in this study. The PSO-based algorithm, as a heuristic algorithm, is reliable to explore solution to SDD problem converted into a constrained optimization problem in mathematics. And the multi-sample objective function provides a stable pattern under different level of noise. Advantages of multi-sample objective function and its superior over traditional objective function are studied. Numerical simulation results of a two-storey frame structure show that the proposed method is sensitive to multi-damage cases. For further confirming accuracy of the proposed method, the ASCE 4-storey benchmark frame structure subjected to single and multiple damage cases is employed. Different kinds of modal identification methods are utilized to extract structural modal data from noise-contaminating acceleration responses. The illustrated results show that the proposed method is efficient to exact locations and extents of induced damages in structures.

• Korean Journal of Mathematics
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• 제18권2호
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• pp.141-148
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• 2010

We introduce the concept of fuzzy almost r-M continuous function on fuzzy r-minimal structures and investigate characterizations and properties for such a function.

• Structural Engineering and Mechanics
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• 제5권6호
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• pp.775-784
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• 1997

A unified theory is presented for the shape analysis of curved surface with a single layer structure composed by frame, membrane or shell. The shapes produced by the theory have no shear stress in elements, and the stress states in the whole shape are as uniform as possible under an ordinary load. The theory starts from defining an element potential function expressed by the measurement of the element length or the element area. Therefore, the shape analysis can produce various forms according to the definition of the potential function, and each of those form or the cable net form with the potential function of the second power of element length is simply gotten by the linear analysis. The form in tensile stress is mechanically equal to an isotropic tension form.

• 동력기계공학회지
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• 제6권3호
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• pp.57-63
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• 2002

This paper describes the acoustic analysis of mid duty truck. The focus of the analysis is on structure borne engine noise with major contributions of 2nd order. It has been previously recognized that the noise contribution of each transfer path of structure borne noise can be varied with the charateristics of each mounts and vibro acoustic sensitivity of car body. The structure of car body will be split up into three major sub components, which are modeled separately, the engine, the frame and the cab. The acoustic performance is evaluated on three levels: engine to frame transfer, frame to cab transfer, and panel contribution from cab to driver. In order to perform these analyses, analytical models are created for the engine, frame, cab and acoustic cavity. The models are linked through a coupled fluid structure calculation, and through FRF Based Substructuring for the structural couplings. Based on the structural coupling calculations, a transfer path analysis is performed to identify the most important transfer paths. These paths are then the focussing points for applying modifications to the structure or the mount system. Finally, a number of modification are proposed and their effect is quantified.

• 한국공간구조학회논문집
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• 제12권2호
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• pp.55-63
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• 2012

본 연구는 학교 건물의 구조적 성능 평가를 통한 내진보강에 대한 연구이다. 본 연구의 목적은 학교 건물의 구조적 성능평가를 통하여 안전성과 사용성을 고려한 구조보강방안을 비교분석하고 합리적 내진 보강안을 제시하여 보다 지진에 안전한 건축물을 유지하는데 도움 이 되고자 한다. 이 목적을 위해 기존의 학교건물을 연구 대상으로 선정하여 내진성능평가를 실시하고 내진 보강안을 제시하였다. 본 연구의 방법은 기존의 철근콘크리트 학교건물을 대상으로 1차 내진 성능평가와 2차 내진 성능평가를 실시하였다. 위와 같은 방법으로 내진성능평가를 하여 그 결과를 분석하고 내진보강방안을 제시(강재댐퍼, 탄소막대보강재)하였다. 제시된 내진 보강방안을 대상 건축물에 적용하여 내진보강 전, 후의 내진성능평가를 통해 종합적인 결과를 도출 하였다.

• 미생물과산업
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• 제16권3호
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• pp.6-14
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• 1990

PRDI DNA polymerase is the smallest member of the family B DNA polymerase (Jung et al., 1987). This DNA polyerase is specified by bacteriophage PRDI which infects a wide variety of gram-negative bacteria(Mindich and Bamford, 1988). Because PRDI is highly amenable to genetic and biochemical manipulation, it is a convenient model system with which to study structure-function relationships of DNA polymerase molecules. To determine the functional roles of the highly conserved regions of the family B DNA polymerases, we have initiated site-directed mutagenesis with PRD1 DNA polymerase, and our results show that mutations at the conserved regions within PRD1 DNA polymerase inactivate polymerase complementing activity and catalytic activity.

• Bulletin of the Korean Chemical Society
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• 제24권12호
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• pp.1843-1844
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• 2003