• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.6
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• pp.789-799
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• 1999

In this paper, the optimization of fuzzy inference systems is proposed for fuzzy model of nonlinear systems. A fuzzy model needs to be identified and optimized by means of the definite and systematic methods, because a fuzzy model is primarily acquired by expert's experience. The proposed rule-based fuzzy model implements system structure and parameter identification using the HCM(Hard C-mean) clustering method, genetic algorithms and fuzzy inference method. Two types of inference methods of a fuzzy model are the simplified inference and linear inference. in this paper, nonlinear systems are expressed using the identification of structure such as input variables and the division of fuzzy input subspaces, and the identification of parameters of a fuzzy model. To identify premise parameters of fuzzy model, the genetic algorithms is used and the standard least square method with the gaussian elimination method is utilized for the identification of optimum consequence parameters of fuzzy model. Also, the performance index with weighting factor is proposed to achieve a balance between the performance results of fuzzy model produced for the training and testing data set, and it leads to enhance approximation and predictive performance of fuzzy system. Time series data for gas furnace and sewage treatment process are used to evaluate the performance of the proposed model.

• 한국전산유체공학회:학술대회논문집
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• 1998.11a
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• pp.90-95
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• 1998

The two-dimensional incompressible and compressible Navier-Stokes codes are developed for the computation of the viscous turbulent flow over high-lift airfoils. Incompressible code using pseudo-compressibility and dual-time stepping method involves a conventional upwind differencing scheme for the convective terms and LU-SGS scheme for time integration. Compressible code also adopts an FDS scheme and LU-SGS scheme. Several two-equation turbulence models (the standard $k-{\varepsilon}$ model, the $k-{\omega}$ model. and $k-{\omega}$ SST model) are evaluated by computing the flow over single and multi-element airfoils. The compressible and incompressible codes are validated by computing the flow around the transonic RAE2822 airfoil and the NACA4412 airfoil, respectively. Both the results show a good agreement with experimental surface pressure coefficients and velocity profiles in the boundary layers. Also, the GA(W)-1 single airfoil and the NLR7301 airfoil with a flap are computed using the two-equation turbulence models. The grid systems around two- and three-element airfoil are efficiently generated using Chimera grid scheme, one of the overlapping grid generation methods.

• The Journal of Internal Korean Medicine
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• v.39 no.2
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• pp.268-276
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• 2018

Although patients with breast cancer receive standard treatments, they often experience recurrence or metastasis of tumors. Therefore, patients seeking treatment with traditional Korean medicine (TKM) in addition to conventional treatment have increased. We present a case of 46-year-old female with recurring breast cancer. She underwent surgeries and various hormone therapies since being diagnosed in 2007. Upon follow-up examination, she had metastatic lesions on the lung and multiple bones in 2015 and 2016. She received TKM treatments from May 2017 with Aromasin and Afinitor. However, hepatic metastasis was found after two months, so she started Capecitabine with TKM. After about two months, the liver nodules disappeared and a seeding nodule in the right paracolic gutter was decreased. After two months, the tumor response was stable disease. Back pain due to bone metastasis was improved. We suggest that combination treatment of TKM and chemotherapy is a promising method for treating breast cancer.

• Journal of Ocean Engineering and Technology
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• v.18 no.5
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• pp.29-35
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• 2004

A new approach, referred to as a successive zooming genetic algorithm (SZGA), is proposed for identifying a global solution, using continuous zooming factors for optimization problems. In order to improve the local fine-tuning of the GA, we introduced a new method whereby the search space is zoomed around the design variable with the best fitness per 100 generation, resulting in an improvement of the convergence. Furthermore, the reliability of the optimized solution is determined based on the theory of probability, and the parameter used for the successive zooming method is optimized. With parameter optimization, we can eliminate the time allocated for deciding parameters used in SZGA. To demonstrate the superiority of the proposed theory, we tested for the minimization of a multiple function, as well as simple functions. After testing, we applied the parameter optimization to a truss problem and wicket gate servomotor optimization. Then, the proposed algorithm identifies a more exact optimum value than the standard genetic algorithm.

• Clinical and Experimental Pediatrics
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• v.59 no.10
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• pp.389-394
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• 2016

The incidence of bronchopulmonary dysplasia (BPD) has not decreased over the last decade. The most important way to decrease BPD is by weaning the patient from the ventilator as soon as possible in order to reduce ventilator-induced lung injury that underlies BPD, and by using a noninvasive ventilator (NIV). Use of a heated, humidified, high flow nasal cannula (HHHFNC), which is the most recently introduced NIV mode for respiratory support in preterm infants, is rapidly increasing in many neonatal intensive care units due to the technical ease of use without sealing, and the attending physician's preference compared to other NIV modes. A number of studies have shown that nasal breakdown and neonatal complications were lower when using a HHHFNC than when using nasal continuous positive airway pressure (nCPAP), or nasal intermittent positive pressure ventilation. The rates of extubation failure during respiratory support were not different between patients who used HHHFNC and nCPAP. However, data from the use of HHHFNC as the initial respiratory support "after birth", particularly in extremely preterm infants, are lacking. Although the HHHFNC is efficacious and safe, large randomized controlled trials are needed before the HHHFNC can be considered an NIV standard, particularly for extremely preterm infants.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.1B
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• pp.175-182
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• 2000

(A hybrid-type wireless infrared data communication module was fabricated by using the light emitting andabsorption diodes with the one-chip of integrated digital circuits. The light emitting diode with the peak spectrum of 850 nm was made from compound semiconductor material of AIGaAs and shows high speed signal transmission with the delay time of 60 nsec for the light direction angle of 30". The Si PIN photodiode showsthe good absorption rate for the range of wavelength of 450-1050 nm and convex-type epoxy lens was utilized for the spectrum filtering on the visible-range spectrum below 750 nm, The data transmission speed is 115.2 kbps and the fabricated module satisfies on the IrDA 1.0 SIR standard requirements.)ments.)

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.327-332
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• 2005

We investigatea new fuzzy-neural networks-Hybrid Fuzzy set based polynomial Neural Networks (HFSPNN). These networks consist of genetically optimized multi-layer with two kinds of heterogeneous neurons thatare fuzzy set based polynomial neurons (FSPNs) and polynomial neurons (PNs). We have developed a comprehensive design methodology to determine the optimal structure of networks dynamically. The augmented genetically optimized HFSPNN (namely gHFSPNN) results in a structurally optimized structure and comes with a higher level of flexibility in comparison to the one we encounter in the conventional HFPNN. The GA-based design procedure being applied at each layer of gHFSPNN leads to the selection leads to the selection of preferred nodes (FSPNs or PNs) available within the HFSPNN. In the sequel, the structural optimization is realized via GAs, whereas the ensuing detailed parametric optimization is carried out in the setting of a standard least square method-based learning. The performance of the gHFSPNN is quantified through experimentation where we use a number of modeling benchmarks synthetic and experimental data already experimented with in fuzzy or neurofuzzy modeling.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.1-3
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• 2016

Mixed and augmented reality (MAR) refers to a spatially coordinated combination of media/information components that represent on the real world and its objects, and on the other those that are virtual, synthetic and computer generated including any combination of aural, visual and touch. The extensible 3D (X3D) is the ISO standard for defining 3D interactive web-based 3D content integrated with multimedia. In this paper, we propose a model to integrate live actor and entity that captured from Microsoft Kinect to be represented in Web-based mixed augmented reality world by using X3DOM by which X3D nodes can be integrated seamlessly into HTML5 DOM content.

• Korean Journal of Ichthyology
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• v.30 no.4
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• pp.242-246
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• 2018

This is the first report of Scomberoides lysan (Perciformes: Carangidae) from Korea. Two specimens (334 and 354 mm standard length) were collected by a set net from the coastal waters of Jejudo Island on 30 September, 2010. This species is characterized and distinguishable from a morphologically similar Scomberoides tol as follows. It has the posterior end of maxilla reaching to the posterior margin of eye (vs. not reaching in S. tol) and two rows of 5~8 small blotches on both sides of body (vs. one row of blotches). We add S. lysan to the Korean fish fauna and propose a new Korean name, "Du-jeom-jul-ga-si-jeon-gaeng-i" for the species because it has two series of dusk blotches on both sides of body.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.454-454
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• 2023

지구 온난화와 무분별한 도시 개발은 농촌 및 자연 지역에 비해 도시에서의 수문 피해를 야기하고 있는 현실이다. 특히 우리나라의 6~8월에는 태풍과 강우가 집중적으로 발생하여 도시 지역에서의 위험성이 증가하고 있다. 1990년대 이전과 달리, 2000년대 이후에는 태풍과 강우로 인한 집중적인 호우가 도시 지역의 잠재적 내수침수 위험을 높이고 있는 실정이며 이에 대한 대책이 중요하다는 것은 현실로 다가왔다. 국지적인 호우는 최근 우리나라에 자주 발생하고 있어, 도시지역의 홍수 피해가 증가하고 있으며, 특히, 서울은 급속히 발전한 도시 중 하나로 2010년, 2011년, 2012년, 2022년에 홍수로 인한 도시 침수로 인명과 재산 피해가 크게 발생했다. 현재 우리나라는 도시 지역을 대상으로 개별 시설물에 대한 방재성능평가를 수행하고 있으나, 방재성능평가 기법 미흡에 따른 평가 결과의 신뢰성 부족으로 방재성능평가 수행에 어려움이 있다. 시설물뿐만 아니라 유역에 대한 방재성능평가 및 도시 통합적인 면적 개념의 방재성능평가 기법 개발이 필요하다. 도시 지역은 인구와 재산이 밀집되어 있어, 집중적인 호우에 의한 피해 노출 및 홍수에 대한 취약성이 증가하고 있어 지자체별 방재성능목표 강우량 설정에 대한 문제점을 검토하고, 지역 특성을 반영한 방재성능목표 설정 및 활용 개선을 위한 방안이 필요하다. 따라서, 각 시·군에 적용되고 있는 도시 방재 시설물의 평가에 대한 현재의 운영 상황과 문제점을 검토하고 이를 바탕으로 방재성능평가를 향상시키기 위한 개선 방안을 제시하였다.