• Journal of Power Electronics
• /
• 제7권1호
• /
• pp.28-37
• /
• 2007

A new PWM-controlled quasi-resonant converter for a high efficiency PDP sustaining power module is proposed in this paper. The load regulation of the proposed converter can be achieved by controlling the ripple of the resonant voltage across the resonant capacitor with a bi-directional auxiliary circuit, while the main switches are operating at a fixed duty ratio and fixed switching frequency. Hence, the waveforms of the currents can be expected to be optimized from the view-point of conduction loss. Furthermore, the proposed converter has good ZVS capability, simple control circuits, no high voltage ringing problem of rectifier diodes, no DC offset of the magnetizing current and low voltage stresses of power switches. In this paper, operational principles, features of the proposed converter, and analysis and design considerations are presented. Experimental results demonstrate that the output voltage can be controlled well by the auxiliary circuit using the PWM method.

• International Journal of Control, Automation, and Systems
• /
• 제6권5호
• /
• pp.731-739
• /
• 2008

The docking and recharging system for a mobile robot must guarantee the ability to perform its tasks continuously without human intervention. This paper proposes two docking mechanisms with localization error-compensation capability for an auto recharging system. The mechanisms use friction forces or magnetic forces between the docking parts of the robot and those of the docking station. It is a structure to improve the allowance ranges of lateral and directional docking offsets, in which the robot is able to dock into the docking station. In this paper, auto-recharging system and the features of the proposed mechanisms are verified with experimental results using simple homing method.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2000년도 하계학술대회 논문집 D
• /
• pp.2814-2818
• /
• 2000

This paper describes an image processing algorithm capable of recognizing the road lane using a CDF (Cumulative Distribution Function). which is designed for the model function of the road lane. The CDF has distinctive peak points at the vicinity of the lane direction because of the directional and positional continuities of the lane. We construct a scatter diagram by collecting the edge pixels with the direction corresponding to the peak point of the CDF and carry out the principal axis-based line fitting for the scatter diagram to obtain the lane information. As noises play the role of making a lot of similar features to the lane appear and disappear in the image we introduce a recursive estimator of the function to reduce the noise effect and a scene understanding index (SUI) formulated by statistical parameters of the CDF to prevent a false alarm or miss detection. The proposed algorithm has been implemented in a real time on the video data obtained from a test vehicle driven in a typical highway.

• Journal of KIEE
• /
• 제11권1호
• /
• pp.69-77
• /
• 2001

This paper describes an image processing algorithm capable of recognizing road lanes by using a CDF(cumulative distribution function). The CDF is designed for the model function of road lanes. Based on the assumptions that there are no abrupt changes in the direction and location of road lanes and that the intensity of lane boundaries differs from that of the background, we formulated the CDF, which accumulates the edge magnitude for edge directions. The CDF has distinctive peak points at the vicinity of lane directions due to the directional and the positional continuities of a lane. To obtain lane-related information a scatter diagram was constructed by collecting edge pixels, of which the direction corresponds to the peak point of the CDF, then the principal axis-based line fitting was performed for the scatter diagram. Noises can cause many similar features to appear and to disappear in an image. Therefore, to reduce the noise effect a recursive estimator of the CDF was introduced, and also to prevent false alarms or miss detection a scene understanding index (DUI) was formulated by the statistical parameters of the CDF. The proposed algorithm has been implemented in real time on video data obtained from a test vehicle driven on a typical highway.

• International Journal of Computer Science & Network Security
• /
• 제21권12spc호
• /
• pp.526-538
• /
• 2021

Machine and deep learning-based models are emerging techniques that are being used to address prediction problems in biomedical data analysis. DNA sequence prediction is a critical problem that has attracted a great deal of attention in the biomedical domain. Machine and deep learning-based models have been shown to provide more accurate results when compared to conventional regression-based models. The prediction of the gene sequence that leads to cancerous diseases, such as prostate cancer, is crucial. Identifying the most important features in a gene sequence is a challenging task. Extracting the components of the gene sequence that can provide an insight into the types of mutation in the gene is of great importance as it will lead to effective drug design and the promotion of the new concept of personalised medicine. In this work, we extracted the exons in the prostate gene sequences that were used in the experiment. We built a Deep Neural Network (DNN) and Bi-directional Long-Short Term Memory (Bi-LSTM) model using a k-mer encoding for the DNA sequence and one-hot encoding for the class label. The models were evaluated using different classification metrics. Our experimental results show that DNN model prediction offers a training accuracy of 99 percent and validation accuracy of 96 percent. The bi-LSTM model also has a training accuracy of 95 percent and validation accuracy of 91 percent.

• 한국안전학회지
• /
• 제32권2호
• /
• pp.132-146
• /
• 2017

Appropriate speed limits at a reasonable level in urban roads are highly important factors for efficient and safe movement. Thus, it is greatly necessary to develop the objective models or methodology based on engineering study considering factors such as traffic accident rates, roadside development levels, and roadway geometry characteristics etc. The purpose of this study is to develop the estimate model of appropriate speed limits at each road sections in urban roads using traffic information big data and field specific data and to review the effects of accident decrease. In this study, the estimate method of appropriate speed limits in directional two or more lanes of urban roads is reflecting features of actual variables in a form of adjustment factor on the basis of the maximum statutory speed limits. As a result of investigating and testing influential variables, the main variables to affect the operating speed are the function of road, the existence of median, the width of lane, the number of traffic entrance/exit path and the number of traffic signal or nonsignal at intersection and crosswalk. As a result of testing this model, when the differences are bigger between the real operating speed and the recommended speed limits using model developed in this study, the accident rate generally turns out to be higher. In case of using the model proposed in this study, it means accident rate can be lower. When the result of this study is applied, the speed limits of directional two or more lane roads in Seoul appears about 11km/h lower than the current speed limits. The decrease of average operating speed caused by the decrease of speed limits is 2.8km/h, and the decrease effect of whole accidents according to the decrease of speed is 18% at research road. In case that accident severity is considered, the accident decrease effects are expected to 17~24% in fatalities, 11~17% in seriously injured road user, 6~9% in slightly injured road user, 5~6% in property damage only accidents.

• 대한전자공학회논문지SP
• /
• 제42권5호
• /
• pp.95-102
• /
• 2005

본 논문은 잡음이 존재하는 전송 선로를 통한 영상 전송 시 발생하는 손실 블록에 대한 방향성 복구 방법을 제안한다. 손실된 블록은 웨이블릿 부대역의 에너지(EWS)와 DC값의 차이(DDC)에 의해 적응적으로 선택되어진 이웃 블록들을 이용한 선형 보간법에 의해 복구된다. 고정된 4-이웃 블록을 사용하여 복구하는 방법은 강한 에지영역에서 블록화된 블러링 효과를 발생시킨다. 본 논문의 방향성 복구 방법은 에지나 영상 내의 방향성 정보에 따라 적응적으로 변하는 이웃 블록을 사용하기 때문에 강한 에지영역에서 효과적이다. EWS만 이용하여 이웃블록을 선택하는 경우는 수직, 수평 에지에서는 좋은 성능을 보이지만 대각 에지에 대해서는 약점을 가지고 있다. DDC만을 이용하여 이웃블록을 선택하는 경우는 대각 에지에서는 좋은 성능을 보이지만 에지 프로파일에 따라 약점을 보인다. 따라서 EWS와 DDC 정보를 함께 이용하여 적응적으로 손실 블록을 복구할 이웃블록을 선택함으로써 두 가지방법의 약점을 서로 보완하여 더 좋은 성능을 보일 수 있다. 모의실험 결과 본 논문의 블록 복구 방법은 객관적 평가와 주관적 평가에서 모두 좋은 성능을 보였다.

• 건축역사연구
• /
• 제19권6호
• /
• pp.39-59
• /
• 2010

Seokgatap and Dabotap are representing the tower patterns in "Gyeonbotappum" of the Lotus Sutra. It is very peculiar, for the description on "Gyeonbotappum" is usually made in terms of 'the two Buddhas sitting side by side'. If 'the two Buddhas sitting side by side' is describing the situation in Dabotap, the double structure of Seokgatap and Dabotap can be said to symbolize the scriptural description in a different viewpoint. Its correct comprehension is pretty important in understanding Bulguksa. For this, this paper first arranged the critical minds and flows about the faith objects in Indian Buddhism. And, it was considered how these aspects were accumulated through Saddharma-pundarika sutra. Secondly, it was considered why "Gyeonbotappum" took the typical symbolism in Saddharma-pundarika sutra(Lotus Sutra). These parts should be necessarily considered in advance in that Seokgatap and Dabotap were derived from the form of "Gyeonbotappum". Based on this approach, the author checked the actual aspects of Seokgatap that the tower was built on a natural rock ground and the stones surrounding the tower are constituting the 8-directional Lotus site. With these two aspects, we could get the clue on the foundation time of Bulguksa that its founder had intended. In that Dabotap was formed on the basis of "Gyeonbotappum", the features of Dabotap is very important in comprehending its foundation viewpoint. As a result, the viewpoint of double towers in Bulguksa can be said to be the one that the world of suffering was to change to the Pure Land after Sakyamuni preached the Lotus Sutra on the top of Mt. Grdhrakuta and Prabhutaratna-tathagata proved it. This foundation viewpoint shows us clearly that 'the Lotus Buddhist Country' existed in parallel to the Avatamska Buddhist Country. It secures an appropriate meaning in that it can complement or adjust our understanding on the 'Buddhist country (Bulguk)' of Bulguksa where the Avatamska Idea is emphasized relatively highly as shown in the whole title of Bulguksa as 'Avatamska Bulguksa.'

• 한국정보과학회논문지:소프트웨어및응용
• /
• 제29권1_2호
• /
• pp.114-125
• /
• 2002

본 논문에서는 MPEG 비디오 데이터의 컷(cut)과 디졸브(dissolve)를 검출하여 샷(shot) 단위로 분할하고 각 샷의 카메라 동작 또는 객체 움직임의 형태를 분류하는 방법을 제안하고자 한다. 정확한 샷의 위치와 카메라, 객체의 세분화된 동작을 구별하기 위한 전단계의 연구에서[1] 우선 MPEG 데이터의 I(Intra) 프레임의 DC(Direct Current) 계수를 분석하여 픽처 그룹을 Shot(장면이 바뀐 경우), Move(카메라 동작 또는 객체가 움직인 경우), Static(영상의 변화가 거의 없는 경우)으로 세분화하여 분류하였다. 이 과정에서 2단계 구조의 신경망을 구성하고 여러 종류의 특징을 서로 다른 해상도에서 추출하여 결합시키는 방법을 제안하였다. 다음 단계로 Shot 또는 Move로 분류된 픽처 그룹의 P(Predicted), B(Bi-directional) 프레임을 선별적, 계층적으로 탐색하여 컷의 정확한 발생 위치와 카메라 동작 또는 객체 움직임의 종류를 결정하는 방법을 제안한다. P, B 프레임의 매크로 블록의 종류별 분포를 통계적으로 이용하여 컷의 발생 위치를 검출하여, P, B 프레임의 매크로 블록 종류와 움직임 벡터를 동시에 사용하는 신경망을 구성하여 디졸브, 카메라 동작, 객체 움직임의 종류를 검출한다. 본 논문에서 제안하는 방법은 MPEG 데이터의 압축을 풀지 않은 상태에서 I 프레임의 DC 계수만을 사용하여 픽처 그룹을 분류하며, 분류된 픽처 그룹 내에서 일부의 P, B 프레임만을 계층적으로 선택하여 탐색함으로서 처리 시간을 감소시키고자 하였다. 세 종류의 서로 다른 비디오 데이터를 사용한 실험에서 93.9-100.0%로 픽처 그룹을, 96.1-100.0%로 컷을 검출하였다. 또한 두 종류의 비디오 데이터를 사용한 실험에서 90.13% 및 89.28%의 정확성으로 카메라 동작 또는 객체 움직임을 분류하였다.

• 디지털융복합연구
• /
• 제11권2호
• /
• pp.43-50
• /
• 2013

최근 지능화 고도화 되고 있는 사이버위협으로부터 기업의 정보자산을 안전하게 보호하기 위해서는 기술적인 분야뿐만 아니라 관리적, 환경적 분야 등 전방위적 대응체제를 구축하여야 한다. 본 연구에서는 보안적으로 안전한 망 설계를 위해 물리적 망분리와 논리적 망분리등 보안 망 이론에 대한 사례를 분석하여 기업 환경에 적합하고 상시적 대응 및 관리가 가능한 정보보호 관리 모델을 제안한다. 특히, 제안 모델은 기존 망에서의 개선사항을 도출하고, 개선사항이 적용된 망을 설계하기 위해서 중앙 관리성을 향상시킨 실시간 보안 대응 능력, 보안 위협 발생 시 선제 탐지 및 능동적 대처, 중요 장비 이중활르 통한 고가용성, 고성능, 고신뢰성 확보, 개별 네트워크의 보안 정책 통합 관리, 개별 네트워크의 망 분리로 보안성 향성 등의 기능을 적용하였다.