• The korean journal of orthodontics
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• v.28 no.2 s.67
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• pp.237-253
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• 1998

Surgical-orthodontic treatment is performed for the skeletal Class III patients with no remaining growth and too big a skeletal discrepancy (or camouflage treatment, and two jaw surgery is needed in order to have maximum effect in such patients. In two jaw surgery cases, surgical alteration of the occlusal plane is necessary to establish optimal function, esthetics and postoperative sability, therefore the establishment of the occlusal plane is essential in diagnosis and treatment. The object of this study is to evaluate the stability of the indiviual ideal occlusal plane bsaed on the architectural and structural craniofacial analysis of Delaires. Thus, the subjects of this study were 48 patients who underwent two jaw surgery, and divided in two groups. Each group were composed of 24patients, A group were operated with ideal occlusal plane and B group were not. Two groups were compared at the preoperative, immediate postoperative (average 4.3days), and long-term postoperative (average 1.3years) lateral cephalometric radiographs. The following results were obtained: 1. There was no significance in occlusal plane angulation between $T_2\;and\;T_3$. Average long term follow-up changes of occlusal Plane angle were $0.24^{\circ}{\pm}2.43$, with FH plane and $0.15{\circ}{\pm}2.16{\circ}$ with SN plane in all 48 patients. These results demonstrated that the occlusal plane after two jaw surgery in skeletal Class III malocclusion was stable. 2. There was no significance in postoperative stability of occlusal plane between A and B group. 3. There was no significance in postoperative stability of occlusal plane depending on surgeon and operative method within each group. 4. The postoperative changes of occlusal plane were correlated to the postoperative changes of jaw rather than tooth position. 5. There was no correlation between the postoperative changes of occlusal plane and maxillary impaction and mandibular setback with surgery.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.37 no.3
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• pp.72-83
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• 2000

This paper presents the implementation of the position control system for 3 phase induction motor using reaching mode controller and neural networks. The reaching mode controller is used to bring the position error and speed error trajectories toward the sliding surface and to train neural networks at the first time. The structure of the reaching mode controller consists of the switch function of sliding surface. And feedforward neural networks approximates the equivalent control input using the reference speed and reference position and actual speed and actual position measured form an encoder and, are tuned on-line. The reaching mode controller and neural networks are applied to the position control system for 3 phase induction motor and, are compared with a PI controller through computer simulation and experiment respectively. The results are illustrated that the output of reaching mode controller is decreased and feedforward neural networks take charge of the main part for the control action, and the proposed controllers show better performance than the PI controller in abrupt load variation and the precise control is possible because the steady state error can be minimized by training neural networks.

• Journal of the Korea Computer Industry Society
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• v.8 no.1
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• pp.57-64
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• 2007

In the paper, considers the design of a detection system, consisting of n identical detectors, to process the sum of spatially invariant signal fields $S_\jmath(t)$, an additive, homogeneous, spatially isotropic (in the array plane x). covariance_separable, and zero_mean Gaussian random noise field n(t, x). consisting of arrey receivers for use in optical communication through optimum turbulence atmosphers and covriance_circuit, staistical analysis through detection the maximum gain are compared with analysis theoretical analysis theoretical value and get through experimental measured value, as well the measured valus are confirmed to agreement joint Gaussian theoretical curves.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.499-501
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• 2000

가상랜은 물리적 위치에 관계없이 마치 하나의 LAN에 연결되어 있는 것처럼 통신할 수 있는 구조로 브로드캐스트 도메인을 제한하여 대역폭 낭비를 감소시키고 전체 네트워크의 효율을 증가시킨다. Newbridge사는 IP서브넷의 주소를 가상랜과 매핑하여 ATM-LAN 스위치 망에서 3계층 가상랜을 구성하는 VIVID 시스템을 개발하였다. 이 시스템에서는 하나의 라우트 서버에서 주소 해석과 가상랜 구성 및 브로드캐스트 데이터 전송을 모두 담당하기 때문에 망의 규모가 커지게 되면 라우트 서버가 병목 지점이 될 수 있다. 이와 같은 문제점을 해결하기 위해 택할 수 있는 방법 중 한 가지는 다중의 라우트 서버를 두는 것이다. 본 논문은 VIVID 시스템에 여러개의 라우트 서버를 두는 구조로서 평면적인 구조와 계층적인 구조 두 가지를 제시하고 시뮬레이션을 통하여 각 구조의 특성을 비교 분석하였다. 시뮬레이션 결과, 브로드캐스트 세션의 길이와 브로드캐스트 세션 내에서의 브로드캐스트 데이터 프레임 발생 간격 등에 의해 제시한 두 가지 모델의 성능이 변하게 되며, 확장성과 데이터 전송의 효율성간에 서로 상쇄 효과가 있음을 볼 수 있었다.

• Journal of the Earthquake Engineering Society of Korea
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• v.4 no.1
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• pp.35-50
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• 2000

본 논문에서는 반복하중을 받는 철근 콘크리트 쉘구조물의 해석을 위한 비선형 유한요소 해법을 제시하였다 유한 요소로서는 충상화기법을 이용한 부재회전강성도를 갖는 4절점 평면 쉘요소가 개발되었다 두께 방향에 대한 철근과 콘크리트의 재료성질을 고려하기 위하여 충상화기법이 도입되었다. 재료적 비선형성에 대해서는 균열콘크리트에 대한 인장, 압축, 전단모델과 콘크리트중에 있는 철근모델을 조합하여 고려하였다. 이에 대한 콘크리트의 균열모델로서는 분산균열모델을 사용하였으며 철근에 대해서는 1축 응력상태로가정하여 등가의 분산 분포된 철근량으로 모델화하였다 구성모델은 재하, 제하 그리고 재재하과정을 포함하여 요소는 반복하중하에서 철근콘크리트 쉘의 거동을 파악할 수 있다 신뢰성 있는 실험결과와 비교를 통하여 본 논문의 해석방법이 반복하중을 받는 철근콘크리트 쉘구조의 비선형 해석에 적합한 방법임을 입증하고자 한다.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.13-14
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• 2016

LTE 대역인 2.5-2.68GHz에서 동작하는 버틀러 스위치를 설계하기 위해 버틀러 매트릭스의 구성요소인 3dB 하이브리드 커플러와 크로스오버를 다단 브랜치 선로의 구조로 구성하여 광대역 특성을 갖는 평면 구조의 버틀러 스위치를 설계하였다. 설계된 버틀러 스위치는 동작대역에서 23.9dB ~ 34.18dB의 좋은 반사손실 특성과 비교적 작은 $7.124^{\circ}$의 위상오차를 보였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.4
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• pp.334-340
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• 2002

This paper proposes a self-organizing fuzzy modeling which can create a new hyperplane-shaped cluster by applying multiple regression to input/output data with relatively large fuzzy entropy, add the new cluster to fuzzy rule base and adjust parameters of the fuzzy model in repetition. Tn the coarse tuning, weighted recursive least squared algorithm and fuzzy C-regression model clustering are used and in the fine tuning, gradient descent algorithm is used to adjust parameters of the fuzzy model precisely And learning rates are optimized by utilizing meiosis-genetic algorithm. To check the effectiveness and feasibility of the suggested algorithm, four representative examples for system identification are examined and the performance of the identified fuzzy model is demonstrated in comparison with that of the conventional fuzzy models.

• Proceeding of EDISON Challenge
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• 2014.03a
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• pp.29-38
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• 2014

G-quadruplex를 형성하는 DNA연속체는 텔로미어에서 발견된다. 지금까지의 연구 결과에 따르면 G-quadruplex는 다양한 유전질환과 암과의 상관관계가 있으며, 따라서 G-quadruplex에 대한 연구는 제약 개발 분야에서 활발하게 진행되고 있다. G-quadruplex는 두 개 이상의 G-tetrad들이 쌓여서 형성된 복합체를 의미하며, G-tetrad란 4개의 구아닌 염기들이 Hoogsteen의 수소결합 통해, 정사각형의 평면을 이룬 물질을 일컫는다. 이때, 알칼리 금속 이온이 G-quadruplex에서의 G-tetrad 복합체 형성에 중요한 역할을 한다는 선행연구 결과가 있다. 특히, 알칼리 금속 중 $K^+$이 가장 G-quadruplex와 결합을 잘 한다고 알려져 있는데 그 이유에 대한 분자적 관점의 설명이 이루어져 있지 않다. 따라서 본 연구에서는 먼저 G-quadruplex의 기본 구성 단위 구조인 G-tetrad와 알칼리 금속 결합체들의 수용액상에서의 구조적, 열역학적 특징을 정량적으로 비교, 분석하였다. 또한, 양자화학적 방법으로 계산된 수용액 상태에서의 결합구조에 대한 용매화 자유 에너지 계산을 수행하여 G-quadruplex 간의 자기 조립 (self-assembly) 현상을 설명하였다.

• Computational Structural Engineering
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• v.2 no.1
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• pp.55-64
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• 1989

A procedure which may be useful in dealing with problems of half plane is considered. Boundary elements are combined with nonlinear finite elements to facilitate their merits. Boundary elements for semi-infinite region are composed using the Melan's solution for half plane. Nonlinear finite elements are used to model irregularity or nonhomogeneity of elasto-plastic materials, which is usual in underground structures. In order to verify the procedure, a shallow tunnel under internal pressure is analysed using the nonlinear finite element method and combined method. It is shown that the developed procedure is accurate enough compared with other method.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.637-646
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• 2022

In this paper the comparative study on the pronunciation of Vietnamese learners and Koreans for the Korean syllable final double consonants was performed. For many errors and the suggested teaching methods related to the pronunciation of the Korean syllable final double consonants that were investigated and analyzed through linguistic research the results of this study by using the analysis tools of speech signal processing were confirmed. Thus, we suggest the new educational method in this paper. Using SVM, which is widely used in machine learning of artificial intelligence the pronunciation of Vietnamese learners and that of Koreans were compared. Being able to obtain the decision hyperplane of the SVM means that Vietnamese learners' pronunciation of the Korean syllable final double consonants is quite different from that of Koreans. Otherwise their pronunciation are pretty similar each other. The new teaching method presented in this paper is not only composed of writing and listening but is included things such as the speech signal waveform in the time domain and its corresponding energy that can be visualized to the learners.