• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.5
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• pp.1011-1016
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• 2001

In this paper, a narrow-band bandpass filter using microstrip open-loop resonators with coupled and crossing lines is designed and fabricated. This filter has many advantages such as compact in size, low weight and the characteristic of the elliptic-function narrow-band bandpass filtering. The configuration consists of two identical microstrip open loop resonators, coupled line and crossing line. By using open loop resonators, the size of the filter can be reduced about 50% compared with the ring resonators. A crossing line gives two notchs in the stopband, which have sharp selectivity in the passband. Centered at 2.455GHz, the calculated microstrip bandpass filter shows a bandwidth of 1.22%, which makes it very attractive for application in the wireless LAN. The filter is fabricated by photo-etching process. The fabricated bandpass filter shows that the bandwidth is 0.85% for 2.458GHz and the size is only $2.6cm\times1cm$.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.95-101
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• 2011

In this paper, using pixel connectivity tracking feature to remove a doctor has been studied. Feature extraction method is a method using the crossing. However, by crossing a lot of feature extraction method sis a doctor. Extracted using the method of crossing the wrong feature to remove them from the downside and the eight pixels around the fork to trace if it satisfies the conditions in the actual feature extraction and feature conditions are not satisfied because the doctor was removed. To evaluate the performance using crossing methods and extracted using pixel connectivity trace was compared to the actual feature, the experimental results using pixel connectivity trace arcuate sentence, croissants sentence, sentence the defrost feature on your doctor about47%, respectively, 40%, 30%were found to remove.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.9
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• pp.777-781
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• 2001

This paper presents an image contrast enhancement technique for improving the low contrast images using the improved IAFC(Integrated Adaptive Fuzzy Clustering) model. The low pictorial information of a low contrast image is due to the vagueness or fuzziness of the multivalued levels of brightness rather than randomness. Fuzzy image processing has three main stages, namely, image fuzzification, modification of membership values, and image defuzzification. Using a new model of automatic crossover point selection, optimal crossover point is selected automatically. The problem of crossover point selection can be considered as the two-category classification problem. The improved IAFC model is used to classify the image into two classes. The proposed method is applied to several experimental images with 256 gray levels and the results are compared with those of the histogram equalization technique. We utilized the index of fuzziness as a measure of image quality. The results show that the proposed method is better than the histogram equalization technique.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.3
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• pp.369-374
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• 2010

Linear motors are easily affected by load disturbances, force ripples, friction, and parameter variations because there are no mechanical transmissions that can reduce the effects of model uncertainties and external disturbance. In this study, a nonlinear adaptive controller to achieve high-speed/high-accuracy position control of a two-axis linear motor is designed. The operation of this controller is based on a cross-coupling algorithm. Nonlinear effects such as friction and force ripples are estimated and compensated for. An enhanced cross-coupling algorithm is proposed for effectively improving the biaxial contour accuracy while achieving closed-loop stability. The proposed controller is evaluated by performing computer simulations.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.2
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• pp.17-25
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• 2006

In the present study, a 2-D chimera technique for overlapped bodies in relative motion is developed using unstructured triangular meshes. The solid boundary nodes located next to the intersecting point between bodies are merged to the intersecting point to assure accurate representation of the intersecting region. In order to assign proper value of flow variables at the nodes located out of the computational field, interpolation is conducted for non-active nodes. For validation, the motions of a NACA64A006 airfoil and a NACA0012 airfoil with a plane flap are computed and the results are compared with other simulations. The motion of a launching missile ejected from a NACA0012 airfoil is also simulated.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.5
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• pp.1186-1191
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• 2007

The study uses the crossed wide girder(waffle slab type) in apartment structural system comparing with existing shear wall system. The crossed wide girder will be able to secure the span of the longest which is possible with minimum slab thickness by not increasing the height. The research sees continuity arranges the crossed wide girder in schedule interval following the stress distribution. Namely, it is to make the interior space with the space without column and wall in the minimum height. In order to check the numerical value of this study which it interpreted the ductile frame system due to the crossed wide girder and existing shear wall system used the Midas Gen is a program which 3-dimension laterial force designs are possible. Analysis results, the crossed wide girder system is not disadvantageously laterial drift, drift ratio and deflection of slab compares with existing shear wall system. Also the whole concrete amount is similar existing shear wall system. The crossed wide girder is advantage which secure a architectal variability.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.249-258
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• 2021

Bitcoin prices have been soaring recently as investors flock to cryptocurrency exchanges. The purpose of this study is to predict the Bitcoin price using a deep learning model and analyze whether Bitcoin is profitable through investment strategy. LSTM is utilized as Bitcoin prediction model with nonlinearity and long-term memory and the profitability of MA cross-over strategy with predicted prices as input variables is analyzed. Investment performance of Bitcoin strategy using LSTM forecast prices from 2013 to 2021 showed return improvement of 5.5% and 46% more than market price MA cross-over strategy and benchmark Buy & Hold strategy, respectively. The results of this study, which expanded to recent data, supported the inefficiency of the cryptocurrency market, as did previous studies, and showed the feasibility of using the deep learning model for Bitcoin investors. In future research, it is necessary to develop optimal prediction models and improve the profitability of Bitcoin investment strategies through performance comparison of various deep learning models.

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.541-553
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• 2020

The receiver operating characteristic (ROC) curve is expressed as both sensitivity and specificity; in addition, some optimal thresholds using the ROC curve are also represented with both sensitivity and specificity. In addition to the sensitivity and specificity, the expected usefulness function is considered as disease prevalence and usefulness. In particular, partial the area under the ROC curve (AUC) on a certain range should be compared when the AUCs of the crossing ROC curves have similar values. In this study, partial AUCs representing high sensitivity and specificity are proposed by using sensitivity and specificity lines, respectively. Assume various distribution functions with ROC curves that are crossing and AUCs that have the same value. We propose a method to improve the discriminant power of the classification models while comparing the partial AUCs obtained using sensitivity and specificity lines.

• 한국지구과학회:학술대회논문집
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• 2010.04a
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• pp.104-105
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• 2010

울산 퇴적 분지에 분포하는 신현층의 이암층 노두에서 이매패에 속하는 Anadara 를 비롯한 여러 종류의 연체동물 화석을 채집하였다. Anadara 화석은 해성 기원의 연체동물로 Vicarya japonica Yabe and Hatai와 함께 소위 Vicarya-Anadara 군집에 속한다. 이 군집은 우리나라의 제3기 생층서를 이해하는데 가장 중요한 정보를 제공한다. 여기에서는 Andara 화석의 형태적 특징과 내부 구조를 고찰하고, 현생종과 비교하였다. 신현층에서 산출된 Anadara 화석은 1속 2종으로 구성된다. 각의 형태적 특징은 각의 외형이 삼각형에 가깝고, 표면에 25~30개의 방사륵이 발달해 있으며 인대면은 삼각형 모형으로, 교치선은 직선이다. 각의 내부 구조를 박편상에서 관찰한 결과, 4개의 층으로 구성되어 있다. Anadara 화석과 현생종 Scapharca subcrenata 을 비교한 결과, 각의 외형은 조금 다르나 내부구조는 서로 거의 유사하다. A. (H.) kakehataensis의 내부 구조는 최외층, 외층, 광휘층, 내층으로 구성되어 있다. 외층은 교차판 구조(crossed- lamellar structure)로 되어 있다. 또한 성장선이 발달되어 있으며, 복연부에 불규칙한 균열이 부분적으로 나타난다. 이는 외부로 노출되어 건조되고 다시 물기를 머금은 상태가 반복되어 수축 팽창에 의한 것이라고 생각되며, 별개의 층은 아니다. 내층은 엽상구조(foliated structure)가 관찰된다. 외층과 내층 사이에 아라고나이트로 구성된 광휘층이 나타나며, 능주 구조(prismatic structure)를 보이는 얇은 층이다. 최외층이 나타난다. A. (H.) daitokudoensis의 내부 구조는 A. (H.) kakehataensis와 서로 거의 유사하고, 내층, 외층, 광휘층 및 최외층의 4개의 층으로 구성된다. 엽상 구조인 내층, 교차판 구조인 외층, 능주 구조인 광휘층 및 최외층은 유기질층으로 되어있다.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.125-133
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• 2013

In this paper, penalized binary logistic regression models are employed as statistical models for determining the discharge of 668 patients with a chief complaint of dyspnea based on 11 blood tests results. Specifically, the ridge model based on $L^2$ penalty and the Lasso model based on $L^1$ penalty are considered in this paper. In the comparison of prediction accuracy, our models are compared with the logistic regression models with all 11 explanatory variables and the selected variables by variable selection method. The results show that the prediction accuracy of the ridge logistic regression model is the best among 4 models based on 10-fold cross-validation.