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.

This paper introduces a HGS(Hybrid Grobal Search) method of cable system identification. This method is based on GA(Genetic Algorithms) and LOA(Local Optimization Algorithm) and combines GA and LOA. GA has a advantage of grobal search and LOA has shown a rapid and accurate solution. It is verified the accuracy and effectiveness of the proposed method through a set of numerical test.

This paper presents a subspace system identification algorithm for time-invariant structural system. System matrices are estimated from input-output data. The main computational tools are the LQ and the singular value decomposition in subspace system identification. The accuracy and stability of estimated system matrices are influenced by the parameters of Hankel matrix. For stable SI, the optimal parameters of Hankel matrix are determined by considering the computational cost and the accuracy of system matrix.

The latest report on draft genome of Brassica rapa sequence has been published. To elucidate the functions of a large population of these genes and to search efficiently for agriculturally useful genes, the Full-length cDNA Over-eXpressor (FOX) gene hunting system was used. The FOX library was transformed into rice by Agrobacteriummediated transformation. Approximately 1,150 FOX-rice lines were generated. Genomic PCR analysis indicated that the average length of FL-cDNAs was 900∼1,200 bp with functional annotation of many unknown function (35.5%). Most of the randomly selected transgenic rice lines showed overexpression (92%) and barely mRNA expression in the wild type Gopum. Moreover, 94% of the 850 transgenic rice lines were moderately tolerant (slightly yellow) to cold and 9 lines were tolerant (seedling light green). For the salinity evaluation, most of the transgenic lines (85%) were highly susceptible whereas seven lines were tolerant. In addition, morphological evaluation of rice lines showed minimal phenotypic alteration (12%). About 25.1 and 22% were earlier in terms of days to heading and chlorophyll contents, respectively. Further, 18% of FOX rice lines showed lower chlorophyll contents. Filled grains, number of tillers, panicle length, culm and plant height were relatively less variable among the lines. These results provided useful genes for functional analyses in the mechanisms of identified transgenic tolerant lines.

수공 방어용으로 건설된 평화의 댐은 화천댐과 연계되어 있고 배수 터널과 함께 1단계 준공 상태로서 화천댐 상류에 위치하여 댐 하류에 홍수지체 효과를 갖는다. 따라서 본 연구에서는 현 평화의 댐의 활용방안을 연구할 목적으로 화천댐 시스템 조작을 수행하여 평화의 댐 홍수조절효과와 화천댐의 홍수기 제한수위 등을 검토하고 평가하였다. 그리고 이 결과를 분석하여 화천댐 계통의 이수 증대 방안을 제시하였다. 이를 위해서 우선 저수지 조작 기준과 모형을 설정한 다음

A discrete system has interpreted by using the network model, and PERT network is one of these methods. For the purpose of analysing the real system, it is necessary to measure the parameter of the real system. And system identification problem is to assume the parameter of a real system when we get to know the system model, the input data and output data. System identification method has been only developed to a system of which a structure has expressed a differential equation or a polynomial expression. But it has been scarcely developed yet in that case of network model. The aim of this paper is to examine a changes when new system is introduced to the present system. The changes are as follows : how the present system will be changed, when the changes will be happened. In this paper, genetic algorithm is used to assume the parameter.