건축구조물의 진동제어 시스템의 안정성과 효율성은 대상 시스템의 수학적 모델의 정확성에 크게 좌우 된다. 본 연구에서는 3층의 축소 건물모델과 소형 AMD(active mass damper)를 대상으로 각각의 상태방정식 모델을 시간영역에서의 시스템 식별 기법인 OKID(observer/Kalman filter identification)를 대상으로 각각의 상태방정식 모델을 시간영역에서의 시스템 식별 기법인 입력과 AMD의 이동질량체의 설치층에 대한 상대가속도 입력에 대하여 시스템 식별을 개별적으로 수행한 뒤 두 개의 상태방정식을 모델 응축 과정을 통해 통합하였다. AMD의 시스템 식별은 모터제어 신호를 입력으로 AMD 이동질량의 설치층에 대한 상대가속도를 출력으로 선정하여 수행하였으며 큰 감쇠비와 위상지연 현상을 확인할 수 있었다 결과적으로 얻어진 건물 모델 및 AMD의 이동질량의 설치층에 대한 상대가속도를 출력으로 선정하여 수행하였으며 큰 감쇠비와 위상지연 현상을 확인할수 있었다. 결과적으로 얻어진 건물 모델 및 AMD의 상태방정식 모델로부터 재구성한 전달함수와 시간이력은 실험에서의 측정치와 잘 일치하였다.

This paper described the dynamic characteristics of 20-story apartment buildings from the results of full-scale measurements and analysis. The natural frequencies and mode shapes are quantified by measuring and analyzing ambient vibrations of the structure and compared with the results from dynamic analysis. Comparison with computed mode shapes and frequencies shows good agreement with the experimental results. It proved that it is important to estimate coupling beam and soil parameters through a comparison of the measured results with calculated results.

본 연구에서는 경계부 및 연결부를 지닌 기계 구조물의 유한요소모델 수립시 상대적으로 불확실성이 많은 경계부 및 연결부를 정확히 모델링하여 전체 구조계에 대한 해석적 모델의 신뢰도를 제고하는데 그 목적을 두고, 현장에서 간단히 측정할 수 있는 측정 데이터와 축약된 형태의 유한요소모델을 이용하는 S.I.기법을 제시하였다. 제시된 방법은 연결부를 제외한 연속체를 유한요소법으로 모델링하고 연결부의 동적 계수를 변수 상태로 하여 시간 영역에서의 비선형 상태 방정식을 구성하였으며 계수 규명 문제를 비선형 상태 방정식의 상태 추정 문제로 변환하여 해결하였다. 두 가지 예제에 대한 수치 해석을 통하여 제시된 기법의 타당성을 검증하였다.

본 논문에서는 국제공동연구원 대형지진시험구조물의 강세진동시험결과 대한 상관해석와 지진응답해석에 관해 연구하였다. 지반-구조물 상호작용을 위해서 구조물과 근영지반은 유한요소로 모형화하고 원역지반은 무한요소로 모형화하는 직적법을 사용하였으며, 지진응답은 부분구조법에 근거한 파 입력기법을 사용하여 해석하였다. 시험후 상관해석을 통해 각 지반영역의 물성이 강제진동 시험에서 계측된 구조물 응답과 일치하도록 보정하였다. 보정된 지반물성을 초기 선형값으로 사용하고 등가선형화기법을 적용하여 지진에 관한 구조물의 응답을 예측하였다. 지반의 비선형거동을 고려하여 얻어진 구조물 응답은 계측된 결과와 매우 잘 일치한 반면, 초기 선형물성치를 사용한 응답결과는 상당한 차이를 보이고 있어서, 지반 비선형 거동의 영향이 중요함을 알 수 있었다.

본 논문에서는 동특성추정법 (system identification) 을 이용한 교량구조의 손상정도를 평가하는 방법이 제 시되었다. 손상된 구조물의 비선형 동적거동은 휩모우멘트와 곡률반경의 시간이력 관계로써 표시하였으며， 구조물의 성질을 나타내는 특성계수는 실측자료를 이용한 동특성추정법을 사용하여 추정하였다. 또한， 구조 물의 성질의 다양성과 응답의 불확실성을 고려하여 손상은 확률변수로 나타내었으며， 예제해석으로는 곡선교 의 손상도추정이 수행되었다.

강섬유 보강 콘크리트 (SFRC) 의 휩 거동은 재료의 인장 및 압축 응력-변형도에 의존하며 이때 이들은 휩 웅 력시 작용하는 strain gradient 의 영향을 받게된다. SFRC 의 경우， 휩 실험은 직인장 실험과 비교하여 볼 때 상대적으로 간펀하며 또한 다수의 실험 결 과가 확보되어 있다. 따라서 이 들 휩 실험 결과로부터 SFRC 의 기본 적 재료 성질인 인장응력 -변형도를 유출하는 것은 중요하다고 하겠다. 본 연구의 목 적올 위하여 휩 실험 data 플 해석하기 위한 ‘ System Identification" 방볍론이 사용되었으며 그 결과 휩 웅력하에서의 SFRC 의 인 장 거동올 설명하는 주요 변수뜰이 고찰되었다.

In this study, the amount of harmful fungi and bacteria contained in the drainage and culture medium from the paprika hydroponic facility is identified. In addition, by proposing the necessity of effective purification of discharged drainage, this study attempted to confirm the possibility of drainage reuse. Finally, this study provides basic data on the basis for calculating the need for purification facilities in the future, as well as improvements in horticulture facility for sustainable agriculture. As a result of the analysis, a total of 12 types of fungi were detected in paprika medium and 10 types of fungi were detected in the drainage, and their densities were 130 and 68, respectively. Among the fungi detected in the media and drainage of the paprika hydroponic facility, the fungi with the highest detection frequency are Fusarium, Phytophthora, and Pythium. In the case of bacteria, a total of 2 types of bacteria were detected in the paprika facilities, and the density was 28 and 23, respectively. Therefore, in order to reuse the drainage and settle the circulating hydroponic cultivation system, a water treatment process capable of appropriate treatment is required.

Purpose: Current study aimed at exploring the roles of system justification in the effects of consumers’ self-identification with the threatened social in-group on the within-domain versus across-domain consumption. It focused on whether there are positive effects of both of the self-definition and the self-investment on the in-group system justification, and also explored whether the system justification, in turn, could make positive effects on the consumption. Research design, data and methodology: The self-identification was approached in view of self-definition and self-investment when the in-group was threatened by members of their out group. The empirical study was performed with the single factor within-subject design based on the feeling of the consumers’ being threatened when the ingroup was criticized by the others. The in-group threatened was accessed from the memory of each of the undergraduate students participating in the empirical study by asking them to remember the events by which their important in-group was perceived to be threatened in their past life. Questionnaire data collected from the undergraduate students were used to verify research hypotheses by structural equation model in Amos 21.0 program. Results: First, the self-definition positively affected the within-domain versus acrossdomain consumption, but did not affect the in-group system justification. Second, the self-investment positively affected the in-group system justification. Third, the system justification made positive effects on the within-domain versus the across-domain consumption. Therefore, this article could contribute to the development of the theory related to compensatory consumption in the view that there could be the positive mediation roles of system justification in the effects of consumers’ self-investment to their in-group on the within-domain versus across-domain consumption when the in-group is threatened. Conclusions: The results of this study could give managerial implications to brand or product marketing managers. How to vitalize consumers’ self-definition with, and self-investment to, the threatened in-group is at issue to the marketers when consumers’ important in-group was threatened by others. By evoking the in-groupbased self-investment to consumers when the in-group was threatened, the marketers should increase the level of the system justification, and the marketers should promote the consumers to recognize that their products or brands are included into the within-self domain.

항로표지는 선박에 대하여 등광, 형상, 색채, 음향, 전파 등을 수단으로 운항 선박에게 위치, 방향 및 장애물의 위치 등을 알려주는 항행보조시설 일체를 의미하며, 주야간 선박항행의 안전을 위한 기본 수단이다. 예인선은 안전을 위해 종류별 최소 설비요건을 마련하여 사고를 대비하고 있지만, 예인삭의 길이, 조류의 영향, 상대적으로 중량이 큰 부선의 타력으로 인한 영향 등으로 예인선과 선회권이 달라, 변침 시 부선이 예인선을 따라가지 못하여 등부표와 추돌하는 사고가 발생하기도 한다. 본 연구의 목적은 두 선박의 물리적 관계를 분석하여 예인선 열을 식별하고 등부표와의 위험을 항로표지 관리운영 시스템을 통해 전파하는 기초 시스템을 제시하는데 있다. 연구를 통해 예부선의 사전 식별 가능성을 확인하였고, 위험 전파를 위한 메시지를 설계하고 모의 시스템을 통한 위험 전파 및 전자해도 상에 위험을 표시하였다.

As for the recent need for maintenance of aging structures and tall buildings, the traditional structural inspection and management methods are expected to be enhanced with the automated structural health monitoring system. The system identification technique is deem to be a core deem of the structural health monitoring. In this study, a methodology of structural stiffness estimation is proposed to identify the state space model of the target structure from the dynamic behavior measurement data of the structure. Experimental verification of the physical quantity estimation technique is conducted.

Recently, as the awareness of safety has become more important, studies on damage assessment techniques for building structures have been actively conducted. The damage of the building structure is caused by the decrease of the stiffness which is inherent dynamic characteristic of the structural system, and the decrease of stiffness acts as a direct variable connected to the collapse of the structure. there have been developed techniques for estimating the inherent dynamics of a structure to identify and evaluate damage to the structure. In this study, we estimate the layer mass due to the modeling error through the optimization algorithm, Genetic Algorithm, and use the optimization algorithm GA to optimize the error covariance matrix, system noise and measured noise covariance matrix We propose an optimal state estimation algorithm. The objective function of the GA algorithm is obtained by the residual which is the difference between the measured values obtained from the EKF calculation and the values obtained from the system model. We verified the feasibility of the algorithm through a 4-DOF system.

In this study an algorithm estimating total load and axial load was conducted using BWIM(Bridge Weigh-in-Motion) system with precision analysis model. Driving test for running vehicle is necessary but it needs much cost, time, and especially hard to applicate to various driving condition. Thus we need a numerical-simulation method for resolving the cost and time problems of driving test for vehicle, and a way to measure bridge responses reflecting many unpredictable situations. Using a precision analysis model reflecting the dynamic characteristic contributes to increase the accuracy in numerical simulation. In this paper, we conduct a numerical simulation to apply a precision analysis model, which reflects the dynamic characteristic of a bridge using the Bridge Weigh-in-Motion system, and suggested a method of overloaded vehicle enforcement technology using the precision analysis model.

In this paper, it proceed the fascinating experimental study to use the system identification(SI) for a long time measurement. The aim of the study is to identify the dynamic characteristics using the SI based on ambient vibration(AV) tests for monitoring systems at building structures. White noise, which is naturally occurring for harmonic components, and free vibration tests are employed in obtaining output data. A definite answer of the dynamic characteristics manages to extract from the frequency domain decomposition(FDD) method under the condition of the white noise. The singular value of the following test is used by FDD. These results show the validity of AV test and the usability of FDD in comparison with two tests. The result of the study is to design practical criteria for SI for building structures based on AV tests.

Sequence diversity was accumulated through evolution and breeding process. A set of 595 PCR-based novel insertion/deletion (InDel) markers was designed in order to widen the genetic basis for national rice breeding programs. The markers were generated by analyzing of 40 Korean cultivars and published genome sequences of rice(Oryza sativa L. spp japonica). We selected 112 markers spread across all rice chromosomes among the 595 InDel markers, and they showed polymorphic between rice cultivars, which are 284 Korean japonica and Tongil varieties. Due to their simplicity in design and robustness in genotyping, these InDel markers have been routinely used in quantitative trait loci (QTL) mapping studies and marker assisted selection programs for rice. Moreover, the PCR amplification type of InDel markers was converged to digital code, 0 or 1 and then finally represented as one- and two dimensional bar-code system, which could easily differentiate genetically highly homologous japonica rice cultivars. The developed InDel markers uniquely discriminated among each of the Korean cultivars. Therefore, the systems we developed may be valuable tools in discrimination from cultivars

Large span roof structures require an analysis of their static and dynamic behavior depending on the physical parameters defining the structures. Therefore, it is highly desirable to estimate the parameters from observations of the system. However, the study of the behavior of such structures shows the existence of critical parameters. A small change in such parameters causes a significant change in the motion behavior. In this paper we study the parameter identification problem for shallow sinusoidal arches considering damping effect.

System identification was performed on the swing span of a steel truss bridge using a wireless sensor network. The swing span can rotate 360° to allow river traffic to pass through the locks located under the bridge. The twenty-two wireless sensor nodes were installed on the span to measure synchronized tri-axial acceleration. Modal properties of the bridge according to its different positions were successfully obtained using frequency domain decomposition method, and compared with the ones from the FE model of the bridge.

In this paper, decentralized data process based system identification(SI) method for building structure is proposed. For verification of the method, an experimental study was performed and the validity of the method was confirmed using unused displacement response in SI.

The objective of this project is to develop FEM or Frame models which can be used to compute the dynamic behavior of PC girder bridge associated with the change of tension force in tendons, to overcome the limitation of general structure analysis program.

정박중인 선박의 안전을 위하여 항해사, 선장 및 해상교통관제사는 항상 선박이 주묘되고 있는가를 확인하여야 한다. 정박선의 주묘판별을 위하여 VTS 관제사가 선회권과 그 중심을 인지하는 것이 중요하다. VTS에서 정박선 주묘여부 감시는 레이더 및 AIS를 이용할 수 있다. 또한 이용가능하다면, CCTV 영상이나 육안에 의한 관측도 이루어 질 수 있다. 그러나 VTS 시스템은 AIS 및 ARPA Radar로부터 수집된 데이터만으로 정박선을 모니터링하고 있으므로 정박지내에서 정박선의 선회중심을 알기가 어렵다. 본 연구에서는 VTS에서 AIS에 의해 수집된 정박 선박의 선수방위각과 위치데이터를 활용하여 선회중심을 추정하는 알고리즘을 제시하고자 한다. 알고리즘의 유효성을 확인하기 위해, 실 환경에서 정박한 선박에 대한 실험연구를 수행하였다.