• BMB Reports
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• v.42 no.8
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• pp.506-510
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• 2009

The Toll signalling pathway in invertebrates is responsible for defense against Gram-positive bacteria and fungi, leading to the expression of antimicrobial peptides via NF-$\kappa$B-like transcription factors. Gram-negative binding protein 3 (GNBP3) detects beta-1,3-glucan, a fungal cell wall component, and activates a three step serine protease cascade for activation of the Toll signalling pathway. Here, we showed that the recombinant N-terminal domain of Tenebrio molitor GNBP3 bound to beta-1,3-glucan, but did not activate down-stream serine protease cascade in vitro. Reversely, the N-terminal domain blocked GNBP3-mediated serine protease cascade activation in vitro and also inhibited beta-1,3-glucan-mediated antimicrobial peptide induction in Tenebrio molitor larvae. These results suggest that the N-terminal GNBP homology domain of GNBP3 functions as a beta-1,3-glucan binding domain and the C-terminal domain of GNBP3 may be required for the recruitment of immediate down-stream serine protease zymogen during Toll signalling pathway activation.

• Journal of information and communication convergence engineering
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• v.9 no.2
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• pp.220-223
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• 2011

Respiration signal of the vital signs is an important parameter in clinical parts. To extract the respiration signal from PPG signal for mobile healthcare system is difficult because the bands of the motion artifacts and respiration in the frequency domain are overlapped. This study to improve this problem suggested a respiration extraction method using the independent component analysis and evaluated its performances. In results of evaluation, the ICA method showed better performance than LPF suggested recently.

• Proceedings of the KIPE Conference
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• 1999.07a
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• pp.367-372
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• 1999

In this paper, an inverter fed induction motor drive system is analyed in order to predict the conducted interference. High frequency model for inverter, motor and system parasitic components are proposed. High frequency component allows time and frequency domain analysis to be performed with standard PSpice tool. The overall high frequency component and model are verified by comparing simulation and experimental result.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.495-497
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• 2000

CBD(Component-Based Development)는 이미 존재하는 소프트웨어 컴포넌트를 조립함으로써 시스템을 개발하는 방법이다. 컴포넌트를 이용하여 시스템을 개발하는 것은 개발시간과 비용을 줄이고, 생산성을 향상시키는 등 여러 가지 장점을 가진다. 그러나 여러 벤더에 의해 개발된 컴포넌트를 조립하는 것은 쉬운 일이 아니다. 이를 위해 컴포넌트가 어떤 문맥에서 사용되는지 이해하는 것이 필요하며 이 문맥은 아키텍쳐에 의해 결정된다. 따라서 본 논문에서는 컴포넌트 기반 개발을 위한 도메인 아키텍쳐를 제안한다. 도메인 아키텍쳐는 도메인을 구성하는 컴포넌트와 그들간의 관계에 대한 정보를 제공함으로써, 어플리케이션 개발을 쉽게 한다. 또한 도메인 아키텍쳐는 관련된 여러 시스템을 위한 아키텍쳐이므로, 도메인 아키텍쳐 상의 컴포넌트는 재사용이 높다.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.16 no.4
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• pp.243-248
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• 2012

We consider the (possible) finite time blow-up of the smooth solutions of the 3D incompressible Euler equations in a smooth domain or in $R^3$. We derive blow-up criteria in terms of $L^{\infty}$ of the partial component of Hessian of the pressure together with partial component of the vorticity.

• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1172-1184
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• 2003

At present, new techniques based on different component reference models for the integration of component and system of different platforms, such as EJB and COM+, are introduced. The operation between the components in the identical component platform is realized by the composition at the source level. In case of the different component platform, however, it is impossible to use combined components in real condition although they are components of similar domain. In this paper we proposed a solution for the composition problem by using component transformation methodology based on model between EJB and COM+ components which are different components. For the composition between EJB and COM+ components, we compared and analyzed each reference model, then proposed the Virtual Component Model which is implementation independent and the Implementation Table for the mutual conversion. Reffering to the Virtual Component Model and the Implementation Table, we can generalize each Implementation model to the Virtual Component Model, make the Virtual Component Model which is implementation independent through the virtual component modeling, transform EJB and COM+ components selectively. Proposing the effective Model Transformation method to the different component platform, we can combine EJB and COM+ components.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.414-429
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• 2003

Component-based development(CBD) has been generalized in industry to master the complexity and reduce the development cost and time. However, current CBD practice is developing the component which is dependent on single application[l][2]. Therefore component variability is emphasized to reuse the component in many family members in a domain[8]. However, components are developed for the reason of replaceability rather than the reusability which is the main purpose of the component due to the insufficiency of the study of component variability definition and type[3]. In this paper, we formally specify the component variability reflecting the characteristics of the component to increase the component reusability. We define the logic variability which was recognized as the existing component variability and we propose all types of variability existing in the component by suggesting three more variability types. And we propose the component variability scope which makes us estimate and verify the number of cases of the variability when we customize the component. We propose these component variability types and scope through formal specification. By applying these techniques in developing components, we can develop high quality components reusable in many family members.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.416-421
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• 2005

In order to use component for various domain, it need to add tangling code. Component reuse suffers from it. AOP was resolved this problem. We present in this paper a component model, called fractal, that added aspect interface using mixin class named joinController interface. Mixin class are used to combine controller object and interceptor object. we design the dynamic weaver that use the decorator pattern, for increase the reuse of aspect.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.949-951
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• 2003

To improve the reusability and interoperability of GIS components, we propose the registration/retrieval agents, which can search the locating of users' frequently used components in not only the GIS domain but also other spatial information technologies such as GPS, ITS, RS and FM. The registration/retrieval agents increase the reusability through the GIS component based development under distributed GIS components environment and enables the rapid setting of application on the web. Moreover, users can understand easily the information of GIS component and have the effective investment, timeliness and reliability while they have less maintenance effort by agent. In order to design and implement this system on web, HTML and ASP (Active Serve Page), and JAVA were used. In addition, the performance of this system was verified through comparing others, which are similar to.

• International Journal of Contents
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• v.14 no.4
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• pp.24-29
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• 2018

EEG-based brain-computer interfaces has focused on explicitly expressed intentions to assist physically impaired patients. For EEG-based-computer interfaces to function effectively, it should be able to understand users' implicit information. Since it is hard to gather EEG signals of human brains, we do not have enough training data which are essential for proper classification performance of implicit intention. In this paper, we improve the subject independent classification of implicit intention through the generation of additional training data. In the first stage, we perform the PCA (principal component analysis) of training data in a bid to remove redundant components in the components within the input data. After the dimension reduction by PCA, we train ICA (independent component analysis) network whose outputs are statistically independent. We can get additional training data by adding Gaussian noises to ICA outputs and projecting them to input data domain. Through simulations with EEG data provided by CNSL, KAIST, we improve the classification performance from 65.05% to 66.69% with Gamma components. The proposed sample generation method can be applied to any machine learning problem with fewer samples.