• Journal of Korean Association for Spatial Structures
• /
• v.3 no.1 s.7
• /
• pp.87-97
• /
• 2003

The structural system that discreterized from continuous shells is frequently used to make a large space structures. As well these structures show the unstable phenomena when a load level over the limit load, and snap-through and bifurcation are most well known of it. For the collapse mechanism, rise-span ratio, element stiffness and load mode are main factor, which it give an effect to unstable behavior. In our real situation, most structures have semi-rigid joint that has middle characteristic between pin and rigid joint. So the knowledge of semi-rigid joint is very important problem of stable large space structure. And the instability phenemena of framed space structures show a strong non-linearity and very sensitive behavior according to the joint rigidity For this reason In this study, we are investigating to unstable problem of framed structure with semi-rigidity and to grasp the nonlinear instability behavior that make the fundamental collapse mechanism of the large space frame structures with semi-rigid joint, by proposed the numerical analysis method. Using the incremental stiffness matrix in chapter 2, we study instability of space structures.

• New & Renewable Energy
• /
• v.7 no.1
• /
• pp.36-44
• /
• 2011

Technology is developed from the efficient interaction with other technology files while building up its own research field. This study analyzes the structure of solar cell research area and describes its paths of the technology development in terms of interdisciplinary diversity using the Co-Classification method during 1979-2009. As a results, 1,380 studies are determined as the interdisciplinary among the 2,605 studies. It shows that 52.98% of the solar cell researches have interdisciplinary relationships with two or more research fields. In addition, we show that the research area of solar cell technology is composed by Material Science, Multidisciplinary and Energy & Fuel, Physics, Applied, Chemistry, Physical from the Co-Classification matrix and network analysis. It means the complexity of the technological knowledge production increased with the concept of interdisciplinary. The results can be used for the planning of the efficient solar cell technology development.

• BMB Reports
• /
• v.41 no.2
• /
• pp.102-107
• /
• 2008

Extracellular proteases play an important role in a wide range of host physiological events, such as food digestion, extracellular matrix degradation, coagulation and immunity. Among the large extracellular protease family, serine proteases that contain a "paper clip"-like domain and are therefore referred to as CLIP-domain serine protease (clip-SP), have been found to be involved in unique biological processes, such as immunity and development. Despite the increasing amount of biochemical information available regarding the structure and function of clip-SPs, their in vivo physiological significance is not well known due to a lack of genetic studies. Recently, Drosophila has been shown to be a powerful genetic model system for the dissection of biological functions of the clip-SPs at the organism level. Here, the current knowledge regarding Drosophila clip-SPs has been summarized and future research directions to evaluate the role that clip-SPs play in Drosophila immunity are discussed.

• Molecules and Cells
• /
• v.22 no.1
• /
• pp.36-43
• /
• 2006

Mesenchymal stem cells (MSCs) are promising candidates for cell therapy and tissue engineering, but their application has been impeded by lack of knowledge of their core biological properties. In order to identify MSC-specific proteins, the hydrophobic protein fraction was individually prepared from two different umbilical cord blood (UCB)-derived MSC populations; these were then subjected to two-dimensional (2D) gel electrophoresis and peptide mass fingerprinting matrix-assisted laser desorption/ionization (MALDI)-time of flight (TOF)-mass spectrometry (MS). Although the 2D gel patterns differed somewhat between the two samples, computer-assisted image analysis identified shared protein spots. 35 spots were reliably identified corresponding to 32 different proteins, many of which were chaperones. Based on their primary sub-cellular locations the proteins could be grouped into 6 categories: extracellular, cell surface, endoplasmic reticular, mitochondrial, cytoplasmic and cytoskeletal proteins. This map of the water-insoluble proteome may provide valuable insights into the biology of the cell surface and other compartments of human MSCs.

• Korean Institute of Interior Design Journal
• /
• v.13 no.5
• /
• pp.143-153
• /
• 2004

This research aimed to assess nursing homes for the elderly with geriatric diseases in Japan, and to prepare the knowledge basis to develop nursing home for the elderly with geriatric diseases in Korea. For this, researcher visited 5 facilities in Tokyo from October 3 to October 9 in 2002, collected data by observations, interviews, and visual materials by taking photographs. Visual materials were analyzed according to the environmental assessment matrix consisted of supportiveness, flexibility, efficiency in perception, accessibility, safety, amenity, and social Interaction that were assorted and were given a name by these researchers in the process of this research. Among the characteristics of environmental design of the analysis cases, 992 items picked out from 722 visual materials were used in the analysis. The data were analyzed using the frequency and percentage with SPSS 11 program. The analysis results were the fellowing. The characteristics of recent nursing home design in Japan tended to focus on supportiveness, amenity, and efficiency in perception but to leave much desired in flexibility and safety. In each space, space to support outdoor activities tended to focus on efficiency in perception, space to support living activities tended to focus on amenities, space to support treatment and living tended to focus on supportiveness, space to support administration and operation tended to focus on supportiveness, and space to support movement tended to focus on amenities.

• Nuclear Engineering and Technology
• /
• v.27 no.3
• /
• pp.374-384
• /
• 1995

The mathematical adjoint solution of the Analytic Function Expansion (AFEN) method is found by solving the transposed matrix equation of AFEN nodal equation with only minor modification to the forward solution code AFEN. The perturbation calculations are then performed to estimate the change of reactivity by using the mathematical adjoint The adjoint calculational scheme in this study does not require the knowledge of the physical adjoint or the eigenvalue of the forward equation. Using the adjoint solutions, the exact and first-order perturbation calculations are peformed for the well-known benchmark problems (i.e., IAEA-2D benchmark problem and EPRI-9R benchmark problem). The results show that the mathematical adjoint flux calculated in the code is the correct adjoint solution of the AFEN method.

• Convergence Security Journal
• /
• v.20 no.2
• /
• pp.53-58
• /
• 2020

In this study, it suggests the High Availability (HA) implementation plan of building a continuous service infrastructure as a strategy ensuring availability, as the importance of availability securing corporate business continuity emerges in the knowledge and information society. However, if the reliability of the criticality assessment of information asset is not ensured, it requires assessment measures for availability that can be managed by mapping with service maintenance assessment items, which are availability criteria based on the asset criticality evaluated through the asset value matrix because it is difficult to maintain security in conjunction with the value of real assets. Therefore, this study suggests the assessment measures for availability of information assets.

• Proceedings of the KIEE Conference
• /
• 1997.07b
• /
• pp.606-608
• /
• 1997

In this paper, Neuro-Fuzzy Controller(NFC), a fuzzy system realized using a neural network, is to adopt for the multivariable system. In the multivariable system, the interactive effects between the variables should be taken into account. A simple compensator, using the steady-state information can be obtained for open-loop stable systems, is presented to cope with this problem. However, it should be supposed that the plant is unknown to the control system designer, but an estimate of the DC gain has been obtained by carrying out experiments on the plant. Also, if the variables are not combinated completely, it is difficult to design the controller. Therefore, we design a neuro-fuzzy controller which controls a multivariable system with only input output informations, and compare its performance with that of a PI controller. In the proposed controller, the construction of the membership functions and rule base, which is highly heuristic, can be achieved using a training process. This allows the combination of knowledge of human experts and evidence from input-output data.

• Proceedings of the Technology Innovation Conference
• /
• 2009.02a
• /
• pp.259-274
• /
• 2009

연구개발에 종사하는 연구자나 연구기획자들은 미래에 어떤 기술 또는 연구 분야가 각광을 받을지 파악하기 위해 정보를 수집하거나 분석한다. 그러나 방대한 정보 중에서도 정말 필요한 정보를 단시간내에 효과적으로 수집하기는 쉽지 않다. 기술기획이나 연구기획의 경우 현재의 연구동향이나 현황을 빠른 시간안에 정확히 파악하는 것이 주된 관심사이며, 이것을 지원해 줄 수 있는 연구방법론 중 하나가 계량서지학이다. 본 연구는 계량서지적 분석결과를 효과적으로 이해할 수 있도록 시각화 기법을 이용한 정보분석 방법론을 다룬다. 발표동향 분석, 공동연구네트워크분석, 수준지수분석, 특허인용네트워크를 통한 인용트리분석 등을 이용하여 전자종이(e-Paper)기술분야에 대해 분석하였다. 본 연구는 정보분석에 있어 비전문가라도 신속하게 정보분석 결과를 획득할 수 있도록 KISTI에서 개발한 정보분석시스템인 KnowledgeMatrix S/W와 이를 응용한 S/W를 활용한 방법론을 제시한다. 본 연구에서 사용한 방법론들은 실제로 연구사업에 활용하고 있거나 활용가능성이 매우 높은 방법론을 이용하였기 때문에 향후에도 널리 활용될 수 있을 것으로 판단한다.

• Journal of Intelligence and Information Systems
• /
• v.19 no.2
• /
• pp.101-123
• /
• 2013

Recently due to the advancements of science and information technology, the socio-economic business areas are changing from the industrial economy to a knowledge economy. Furthermore, companies need to do creation of new value through continuous innovation, development of core competencies and technologies, and technological convergence. Therefore, the identification of major trends in technology research and the interdisciplinary knowledge-based prediction of integrated technologies and promising techniques are required for firms to gain and sustain competitive advantage and future growth engines. The aim of this paper is to understand the recent research trend in management of technology (MOT) and to foresee promising technologies with deep knowledge for both technology and business. Furthermore, this study intends to give a clear way to find new technical value for constant innovation and to capture core technology and technology convergence. Bibliometrics is a metrical analysis to understand literature's characteristics. Traditional bibliometrics has its limitation not to understand relationship between trend in technology management and technology itself, since it focuses on quantitative indices such as quotation frequency. To overcome this issue, the network focused bibliometrics has been used instead of traditional one. The network focused bibliometrics mainly uses "Co-citation" and "Co-word" analysis. In this study, a keywords network analysis, one of social network analysis, is performed to analyze recent research trend in MOT. For the analysis, we collected keywords from research papers published in international journals related MOT between 2002 and 2011, constructed a keyword network, and then conducted the keywords network analysis. Over the past 40 years, the studies in social network have attempted to understand the social interactions through the network structure represented by connection patterns. In other words, social network analysis has been used to explain the structures and behaviors of various social formations such as teams, organizations, and industries. In general, the social network analysis uses data as a form of matrix. In our context, the matrix depicts the relations between rows as papers and columns as keywords, where the relations are represented as binary. Even though there are no direct relations between papers who have been published, the relations between papers can be derived artificially as in the paper-keyword matrix, in which each cell has 1 for including or 0 for not including. For example, a keywords network can be configured in a way to connect the papers which have included one or more same keywords. After constructing a keywords network, we analyzed frequency of keywords, structural characteristics of keywords network, preferential attachment and growth of new keywords, component, and centrality. The results of this study are as follows. First, a paper has 4.574 keywords on the average. 90% of keywords were used three or less times for past 10 years and about 75% of keywords appeared only one time. Second, the keyword network in MOT is a small world network and a scale free network in which a small number of keywords have a tendency to become a monopoly. Third, the gap between the rich (with more edges) and the poor (with fewer edges) in the network is getting bigger as time goes on. Fourth, most of newly entering keywords become poor nodes within about 2~3 years. Finally, keywords with high degree centrality, betweenness centrality, and closeness centrality are "Innovation," "R&D," "Patent," "Forecast," "Technology transfer," "Technology," and "SME". The results of analysis will help researchers identify major trends in MOT research and then seek a new research topic. We hope that the result of the analysis will help researchers of MOT identify major trends in technology research, and utilize as useful reference information when they seek consilience with other fields of study and select a new research topic.