http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
정경권,김주웅,엄기환 동국대학교 대학원 1998 大學院硏究論集-東國大學校 大學院 Vol.28 No.-
The neural network is a static network that consists of a number of layer: input layer, output layer and one or more hidden layer connected in a feedforward way. The popularity of neural network appear to be related to its ability of learning and approximation capability. The Elman Neural Network proposed the J.Elman, is a type of recurrent network. It has the feedback links from hidden layer to context layer. So Elman neural network is the better performance than the neural network. In this paper, we propose the Modified Elman Neural Network. The structure of a MENN is based on the basis ENN. The recurrency of the network is due to the feedback links from the output layer and the hidden layer to the context layer. In order to certify the usefulness of the proposed method, the MENN apply to the multi tracking control and the X-Y Cartesian tracking. Simulation shows that the proposed MENN method is better performance than the multi layer neural network and the ENN.
Ki-Woong Nam,Hyung-Min Kwon,Jin-Ho Park,Hyuktae Kwon 대한신경초음파학회 2021 대한신경초음파학회지 (JNN) Vol.13 No.2
Background: Arterial stiffness has been suggested as one of the major pathological mechanisms of cerebral small vessel diseases (cSVDs). In this study, we confirmed this hypothesis by evaluating the association between vascular overload index (VOI), which is a physiologically good indicator of arterial stiffness, and cSVD. Methods: We evaluated participants who visited Seoul National University Hospital Health Promotion Center for health check-ups between 2006 and 2013. VOI was calculated by the following formula: VOI (mmHg)=1.33×systolic blood pressure -0.33×diastolic blood pressure-133.3. cSVDs were measured including white matter hyperintensity (WMH), lacunes, and cerebral microbleeds (CMBs). We quantitatively measured the WMH volume and rated the presence and number of lacunes and CMBs qualitatively. Results: A total of 3,231 participants were evaluated (mean age 57±9 years, male sex 53.9%). In multivariable linear regression analysis, VOI was significantly associated with WMH volume after adjusting confounders (β=0.004, 95% confidence interval=0.002–0.006). VOI also showed a close association with lacunes in multivariable logistic regression analysis (adjusted odds ratio=1.01, 95% confidence interval=1.00–1.02). There was no statistical association with CMBs. In subgroup analysis according to the presence of hypertension, VOI was closely associated with WMH volume/lacunes only in patients without hypertension. In patients with hypertension, these statistical associations disappeared. Conclusion: A high VOI was associated with cSVD in a neurologically healthy population, especially in patients without hypertension. This marker of arterial stiffness could be convenient and useful predictor of cSVD.
Au doping effect on chemically-exfoliated graphene and graphene grown via chemical vapor deposition
Kim, Ki Woong,Song, Wooseok,Jung, Min Wook,Kang, Min-A,Kwon, Soon Yeol,Myung, Sung,Lim, Jongsun,Lee, Sun Sook,An, Ki-Seok Elsevier 2015 Carbon Vol.82 No.-
<P><B>Abstract</B></P> <P>In order to assess the most suitable way for application of graphene-based flexible transparent electrodes, the effects of Au doping and subsequent annealing on graphene films produced by chemical exfoliation and chemical vapor deposition (CVD) were explored. After Au doping and subsequent annealing, uniformly-sized Au nanoparticles (NPs) were distributed on CVD-graphene films and reduced graphene oxide (rGO) films and the density of the Au NPs on rGO films was greater than that on CVD-graphene films. Interestingly, CVD-graphene films have sheet resistance behavior opposite to that of rGO films after Au doping and subsequent annealing. This can be understood by combined features including an increase in carrier concentration via p-type doping and an increase in contact resistance via the intercalation of non-conducting AuCl<SUB>3</SUB> nanoparticles, as suggested by the work function measurement of CVD-graphene and rGO films before and after Au doping. This finding will shed light on an effective way to obtain large-scale and work function-tuned graphene films for applications in graphene-based flexible transparent electrodes.</P>
능동위상배열레이다에서 태양을 이용한 수신빔패턴 특성 측정기법 연구
권세웅(Se-Woong Kwon),김한생(Han-Saeng Kim),권양원(Yang-Won Kwon),이기원(Ki-Won Lee) 한국전자파학회 2021 한국전자파학회논문지 Vol.32 No.6
레이다의 빔패턴은 무반향챔버와 같은 특정 시설에서 측정되며, 물리적으로 큰 레이다는 운용환경에서 빔패턴 측정가능한 시설로 이동이 어렵고 비용이 많이 소모된다. 만약 레이다가 실제 환경에 존재하는 지형지물이나 천체를 이용하여 빔패턴의 특성을 확인할 수 있다면, 비용 측면에서 효과적인 레이다 운용유지 능력을 제공할 수 있다. 태양은 어느 위치에서나 상시 존재하는 천체이고, 레이다에서 열잡음 형태로 측정 가능하므로 모니터링에 유용하나, 주변 전파 환경에서 수신되는 간섭신호의 영향으로 성능 점검 자동화에 어려움이 있다. 따라서 본 논문에서는 이러한 문제를 극복하기 위해 자동 점검 기법 및 간섭 제거 방법을 적용하여 실험하고, 실제 환경에서 시험한 결과를 제시한다. A beam pattern of a radar is measured at a specific facility such as an anechoic chamber, and it is difficult and expensive to move a physically large radar from an operating environment to the facility. If a radar can measure beam pattern characteristics with landmark or celestial bodies in an operating environment, it can provide a cost effective maintenance. Sun is a celestial body which exists in an operating environment, and sun noise is easy to monitor automatically. However, interferences interfere with the automatic detection of noise. Therefore, in this study, we implemented and tested an automatic sun noise monitoring method and an effective interference suppression method in a radar operating environment.