• Journal of Arbitration Studies
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• v.14 no.1
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• pp.315-344
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• 2004

Although we try to increase the order of turn key construction for the international competitiveness strengthening, the construction quality advancement and the productivity enhancement of the public sectors, the problems of the domestic turn key systems are causing the hardships of all the participants and many possible disputes. The home turn key constructions have been activated since 1997. A lot of trial and error had been experienced in these days, and the turn key systems have been changed little by little. But the bases are continuously kept because of their reflecting all the participants' opinions. In the inner turn key constructions the problems of uniform types are repeatedly occurred, and, especially, many problems happen up to the stage of early stage owing to the specialties of the turn key construction. So the dispute factors of the Korean turn key constructions were abstracted through the literature searches, the site document examinations, the case studies and the interviews with the experts. When the technicians meeting the interior turn key construction for the first time and working here now are well acquainted with only these factors, many disputes will be prevented.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.3
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• pp.351-358
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• 2013

In 2008, Pointcheval and Zimmer have presented multi-factor authenticated key exchange protocol with client's secret key, password, biometrics. However, it has been found to be flawed by Hao and Clarke if an attacker has single authentication factor (password), then the attacker can deduce other authentication factors. Interestingly, its countermeasure has not been presented due to the difficulty of design and structural problem. In this paper, an efficient countermeasure is briefly presented and its security is discussed as well.

• Smart Structures and Systems
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• v.26 no.1
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• pp.63-75
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• 2020

Substructure pseudo-dynamic hybrid simulation (SPDHS) combining the advantages of physical experiments and numerical simulation has become an important testing method for evaluating the dynamic responses of structures. Various parameter identification methods have been proposed for online model updating. However, if there is large model gap between the assumed numerical models and the real models, the parameter identification methods will cause large prediction errors. This study presents an ANN (artificial neural network) method based on forgetting factor. During the SPDHS of model updating, a dynamic sample window is formed in each loading step with forgetting factor to keep balance between the new samples and historical ones. The effectiveness and anti-noise ability of this method are evaluated by numerical analysis of a six-story frame structure with BRBs (Buckling Restrained Brace). One BRB is simulated in OpenFresco as the experimental substructure, while the rest is modeled in MATLAB. The results show that ANN is able to present more hysteresis behaviors that do not exist in the initial assumed numerical models. It is demonstrated that the proposed method has good adaptability and prediction accuracy of restoring force even under different loading histories.

• Korean Journal of Construction Engineering and Management
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• v.8 no.6
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• pp.159-166
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• 2007

Work delay is one of the facts that make the reliability of construction projects decrease. Therefore, it is important to classify and prioritize the delay factors. This research analyzed key delay factors in apartment house construction through survey. The results of analysis are as follows. (1) Insufficient work force is the key delay factor in structural and finish work. (2) Improper craft of worker is the key delay factor in electrical work. (3) Incompletion of proceeding work is the key delay factor in mechanical work.

• Journal of the Semiconductor & Display Technology
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• v.21 no.4
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• pp.168-173
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• 2022

As the function of a product is advanced and the process is refined, the yield in the fine manufacturing process becomes an important variable that determines the cost and quality of the product. Since a fine manufacturing process generally produces a product through many steps, it is difficult to find which process or equipment has a defect, and thus it is practically difficult to ensure a high yield. This paper presents the system architecture of how to build a smart manufacturing system to analyze the big data of the manufacturing plant, and the equipment factor analysis methodology to increase the yield of products in the smart manufacturing system. In order to improve the yield of the product, it is necessary to analyze the defect factor that causes the low yield among the numerous factors of the equipment, and find and manage the equipment factor that affects the defect factor. This study analyzed the key factors of abnormal equipment that affect the yield of products in the manufacturing process using the data mining technique. Eventually, a methodology for finding key factors of abnormal equipment that directly affect the yield of products in smart manufacturing systems is presented. The methodology presented in this study was applied to the actual manufacturing plant to confirm the effect of key factors of important facilities on yield.

• Nuclear Engineering and Technology
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• v.51 no.7
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• pp.1715-1720
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• 2019

Jozef Stefan Institute (JSI), TRIGA Mark II reactor employs the homogeneous mixture of uranium and zirconium hydride fuel type. Since its upgrade, a series of fresh fuel steady state experimental benchmarks have been conducted. The benchmark results have provided data for testing computational neutronics codes which are important for reactor design and safety analysis. In this work, we investigated the JSI TRIGA Mark II reactor neutronics characteristics: the effective multiplication factor and two safety parameters, namely the control rod worth and the fuel temperature reactivity coefficient using SuperMC. The modeling and real-time cross section generation methods of SuperMC were evaluated in the investigation. The calculation analysis indicated the following: the effective multiplication factor was influenced by the different cross section data libraries; the control rod worth evaluation was better with Monte Carlo codes; the experimental fuel temperature reactivity coefficient was smaller than calculated results due to change in water temperature. All the results were in good agreement with the experimental values. Hence, SuperMC could be used for the designing and benchmarking of other TRIGA Mark II reactors.

• Journal of the Korea Institute of Building Construction
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• v.8 no.4
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• pp.53-59
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• 2008

Cost estimates are very important to their decision-making in the early stages of a construction project. So Clients have wanted not only to know the results of conceptual cost estimates but also to assess their quality Conceptual cost estimates process is very complex process, so the results of cost estimates are influenced by various factors. So the purpose of this study is to reveal the key factors which influence the reliability of conceptual cost estimates in building construction projects. The analytic hierarchy process is used to determine the relative important weights of elements influencing the conceptual cost estimates. And factor analysis is used to reveal the key factors from the elements that influence the conceptual cost estimates. The results showed that the key factors is an experience level, available data level, level of will for winning the bid, difficulty level of conceptual cost estimate, uncertainty level.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.91-109
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• 2010

The success of new product is a key factor for getting competitive advantages. Marketing research has been investigating marketing capability, manufacturing technical capability, cross-functional integration, market knowledge competence, and competitive environment as the key success factors of new product advantage. Recently, the role of IT capability in enhancing new product advantage is assumed in the literature. However, the empirical studies on the role of IT capability are lacking. The purpose of this study is to identify the effects of IT capability on new product competitive advantages and the relationship between IT capability and the key success factors for new product advantage. Conducting an empirical field study, the IT capability is shown to have a direct effect on new product competitive advantages, and to be also the key success factor to make up for marketing capability and manufacturing technical capability. This study develops a conceptual model on the role of IT capability in enhancing new product competitive advantages by integrating marketing research and IS research.

• Molecules and Cells
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• v.26 no.2
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• pp.193-199
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• 2008

The pro-apoptotic Bcl-2 family member Bim acts as a sensor for apoptotic stimuli and initiates apoptosis through the mitochondrial pathway. To identify novel regulators of Bim, we employed the yeast two-hybrid system and isolated the human gene encoding macrophage migration inhibitory factor (MIF), a ubiquitously expressed proinflammatory mediator that has also been implicated in cell proliferation, the cell cycle and carcinogenesis. The interaction between MIF and Bim was confirmed by both in vitro and in vivo protein interaction assays. Intriguingly, protein complexes between MIF and the three major Bim isoforms (BimEL/BimL/BimS) could be detected in HEK293 and K562 cells, especially in cells undergoing apoptosis. Moreover, exogenous expression of MIF partially inhibited Bim-induced apoptosis in HEK293 cells. SiRNA-mediated knockdown of MIF increased apoptosis in K562 cells exposed to the chemical oxidant diamide. Endogenous MIF may regulate the pro-apoptotic activity of Bim and inhibit the release of cytochrome c from mitochondria.

• Journal of Microbiology and Biotechnology
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• v.25 no.8
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• pp.1227-1233
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• 2015

Vascular endothelial growth factor (VEGF) plays a key role in angiogenesis through binding to its specific receptors, which mainly occurs to VEGF receptor 2 (VEGFR-2), a kinase insert domain-containing receptor. Therefore, the disruption of VEGFR-2 signaling provides a promising therapeutic approach for the treatment of cancer by inhibiting abnormal or tumorinduced angiogenesis. To explore this potential, we expressed the catalytic domain of VEGFR-2 (VEGFR-2-CD) as a soluble active kinase in Escherichia coli. The recombinant protein was purified and the VEGFR-2-CD activity was investigated. The obtained VEGFR-2-CD showed autophosphorylation activity and phosphate transfer activity comparable to the commercial enzyme. Furthermore, the IC₅₀ value of known VEGFR-2 inhibitor was determined using the purified VEGFR-2-CD. These results indicated a possibility for functional and economical VEGFR-2-CD expression in E. coli to use for inhibitor screening.