• Journal of KIISE:Information Networking
• /
• v.28 no.2
• /
• pp.242-250
• /
• 2001

This paper deals with the TCP bandwidth guarantee problem in a differentiated serviccs(Diffserv) network. The Diffserv assured s<:rvice differentiates packet drop probabilities to guarantee the promised bandwidth even under network congestion. However a token buffer marker fails to show adequate performance because TCI' generates packets according to the unique Tel' congestion control mechanism. We propose a marker that uses a data buffer as well as a token buffer. The marker with a data buffer works well with the assured service mechanism because it smooths Tel' traffic. We showed that the marker with a data buffer achieves the target throughput better than a marker with a token buffer only. We also showed that the optimal buffer size is proportional to reserved throughput and HTT.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2004.04a
• /
• pp.227-232
• /
• 2004

Ballast water from ship harmful microorganism sterilized use of electrolytic sterilization system. The experimental methods were use of peristaltic flow pump upward on electrode pole. Due to reaction time, HRT were unlike microorganism on flow rate. In electrolysis, dioxide iridium coated titanium(Ti／IrO$_2$) and stainless steel plate were used for anode and cathode respectively. Current density controls make use of D.C Power supply on 250V 100Amper. Experimental use of current density between 0.1 and 0.5A was able to disinfect microorganism at 5 seconds by the reaction time. This study shows that the electrolyzed water has a potential for the sterilization of ballast water.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.5
• /
• pp.1221-1227
• /
• 2015

Edge detection is one of the important technologies to simplify images in the text, lane and object recognition implementation process, and various studies are actively carried out at home and abroad. Existing edge detection methods include a method to detect edge by applying directional gradient masks in spatial space, and a mathematical morphology-based edge detection method. These existing detection methods show insufficient edge detection results in excessively dark or bright images. In this regard, to complement these drawbacks, we proposed an algorithm using the Sobel and histogram equalization among the existing methods.

• The Korean Journal of Applied Statistics
• /
• v.7 no.1
• /
• pp.149-158
• /
• 1994

Nonparametric regression technique using kernel estimator is an attractive alternative that has received some attention, recently. The kernel estimate depends on two quantities which have to be provided by the user : the kernel function and the bandwidth. However, the more difficult problem is how to find an appropriate bandwidth which controls the amount of smoothing (see Silverman, 1986). Thus, in practical situation, it is certainly desirable to determine an appropriate bandwidth in some automatic fashion. Thus, the problem is to find a data-driven or adaptive (i.e., depending only on the data and then directly computable in practice) bandwidth that performs reasonably well relative to the best theoretical bandwidth. In this paper, we introduce a relation between bias and variance of mean square error. Thus, we present a simple and effective algorithm for selecting local bandwidths in kernel regression.

• Journal of Veterinary Clinics
• /
• v.23 no.4
• /
• pp.421-426
• /
• 2006

The effects of transmural nerve stimulation induced releasing neurotransmitters on the changes of swine uterine smooth muscle motility were examined by polygraph through isometric force transducer. The frequency dependent relaxation and rebound contraction were revealed on precontraction with histamine by transmural nerve stimulation. The rebound contraction by transmural nerve stimulation was inhibited by nonselective ${\alpha}$-adrenergic receptor antagonist, phentolamine, and the relaxation by transmural nerve stimulation was blocked by nonselective ${\beta}$-adrenergic receptor antagonist, propranolol. The relaxation induced by nonselective ${\beta}$-adrenergic receptor agonist, isoproterenol on precontraction with histamine were the dose dependent manner and this relaxation was blocked by nonselective ${\beta}$-adrenergic receptor antagonist, propranolol in isolated uterine smooth muscle of pig. These results suggest that endogenous neurotransmitters on smooth muscle relaxation was influenced by ${\beta}$-adrenergic receptor in swine.

• The Journal of the Korea Contents Association
• /
• v.14 no.3
• /
• pp.11-21
• /
• 2014

Multi-scale image segmentation is important in many applications such as image stylization and medical diagnosis. This paper proposes a novel segmentation algorithm based on MSER(maximally stable extremal region) which captures multi-scale structure and is stable and efficient. The algorithm collects MSERs and then partitions the image plane by redrawing MSERs in specific order. To denoise and smooth the region boundaries, hierarchical morphological operations are developed. To illustrate effectiveness of the algorithm's multi-scale structure, effects of various types of LOD control are shown for image stylization. The proposed technique achieves this without time-consuming multi-level Gaussian smoothing. The comparisons of segmentation quality and timing efficiency with mean shift-based Edison system are presented.

• JOURNAL OF ELECTRICAL WORLD
• /
• s.290
• /
• pp.90-94
• /
• 2001

일본의 수력발전소는 국산에너지의 주력산업으로 클린하며 또한 재생 가능한 에너지로서 수백kW의 소수력에서 500MVA급의 대용량 양수까지, 여러 목적에 맞는 역할을 다하고 있다. 특히 양수발전소는 전력계통의 부하 평활화라는 중책을 담당하고 있으며, 앞으로 전력수요의 증가에 따라 더욱더 그 중요도는 증가할 것이다. 미쓰비시전기의 양수발전소의 단위용량은 1990년대 전반까지는 367MVA(도쿄전력 신고뢰천)가 최대였으나 ''98년 운전 개시한 간사이 전력 오다다양목의 400MVA, 2000년 운전 개시한 국내최대용량의 도쿄전력 갈야천의 475MVA로 최근 대용량화가 진전되어 그 대용량기술의 진보는 크게 주목을 받고 있다. 또 주기의 회전속도에 있어서도 400min${^-1}$급에서 500min${^-1}$로, ''보다 더 고속대용량화'' 시대에 돌입하였다고 할 수 있다. 또한 수력발전소는 일찍부터 일인화$\cdot$무인화에 의한 감시제어의 자동화$\cdot$성력화가 추진되어 왔다. ''50년대의 일인화제어를 거쳐'' 60년대에는 원방감시제어화에 의해 완전자동화$\cdot$무인화를 실현하였다. 그 후에도 디지털기기의 응용에 의하여 감시제어장치의 고기능화가 진전되고 또 보호도 포함한 토털디지털시스템도 구축되어 있다. 또한 중소수력발전소에 대하여는 종래 분산시스템이었던 시퀀서/거버너/AVR을 1CPU로 실현한 일체형배전반이 차후의 중소 수력제어장치의 주력기종이 되고 특히 범용컨트롤러를 적용한 시스템도 실용화되어 가고 있다. 본고에서는 최근의 수차, 발전기의 고속$\cdot$대용량화를 중심으로 한 동향과 감시제어시스템의 기술동향을 소개함과 동시에 앞으로의 전망에 대하여 기술하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.41 no.6
• /
• pp.25-32
• /
• 2004

We propose a hierarchical disparity estimation algorithm with edge-preserving energy-based regularization. Initial disparity vectors are obtained from downsampled stereo images using a feature-based region-dividing disparity estimation technique. Dense disparities are estimated from these initial vectors with shape-adaptive windows in full resolution images. Finally, the vector fields are regularized with the minimization of the energy functional which considers both fidelity and smoothness of the fields. The first two steps provide highly reliable disparity vectors, so that local minimum problem can be avoided in regularization step. The proposed algorithm generates accurate disparity map which is smooth inside objects while preserving its discontinuities in boundaries. Experimental results are presented to illustrate the capabilities of the proposed disparity estimation technique.

• 한국HCI학회:학술대회논문집
• /
• 2007.02a
• /
• pp.1057-1062
• /
• 2007

얼굴표정 인식은 심리학 연구, 얼굴 애니메이션 합성, 로봇공학, HCI(Human Computer Interaction) 등 다양한 분야에서 중요성이 증가하고 있다. 얼굴표정은 사람의 감정 표현, 관심의 정도와 같은 사회적 상호작용에 있어서 중요한 정보를 제공한다. 얼굴표정 인식은 크게 정지영상을 이용한 방법과 동영상을 이용한 방법으로 나눌 수 있다. 정지영상을 이용할 경우에는 처리량이 적어 속도가 빠르다는 장점이 있지만 얼굴의 변화가 클 경우 매칭, 정합에 의한 인식이 어렵다는 단점이 있다. 동영상을 이용한 얼굴표정 인식 방법은 신경망, Optical Flow, HMM(Hidden Markov Models) 등의 방법을 이용하여 사용자의 표정 변화를 연속적으로 처리할 수 있어 실시간으로 컴퓨터와의 상호작용에 유용하다. 그러나 정지영상에 비해 처리량이 많고 학습이나 데이터베이스 구축을 위한 많은 데이터가 필요하다는 단점이 있다. 본 논문에서 제안하는 실시간 얼굴표정 인식 시스템은 얼굴영역 검출, 얼굴 특징 검출, 얼굴표정 분류, 아바타 제어의 네 가지 과정으로 구성된다. 웹캠을 통하여 입력된 얼굴영상에 대하여 정확한 얼굴영역을 검출하기 위하여 히스토그램 평활화와 참조 화이트(Reference White) 기법을 적용, HT 컬러모델과 PCA(Principle Component Analysis) 변환을 이용하여 얼굴영역을 검출한다. 검출된 얼굴영역에서 얼굴의 기하학적 정보를 이용하여 얼굴의 특징요소의 후보영역을 결정하고 각 특징점들에 대한 템플릿 매칭과 에지를 검출하여 얼굴표정 인식에 필요한 특징을 추출한다. 각각의 검출된 특징점들에 대하여 Optical Flow알고리즘을 적용한 움직임 정보로부터 특징 벡터를 획득한다. 이렇게 획득한 특징 벡터를 SVM(Support Vector Machine)을 이용하여 얼굴표정을 분류하였으며 추출된 얼굴의 특징에 의하여 인식된 얼굴표정을 아바타로 표현하였다.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.2
• /
• pp.211-222
• /
• 2013

We consider the problem of nonparametrically estimating the conditional quantile function from censored data and propose new estimators here. They are based on local logistic regression technique of Lee et al. (2006) and "double-kernel" technique of Yu and Jones (1998) respectively, which are modified versions under random censoring. We compare those with two existing estimators based on a local linear fits using the check function approach. The comparison is done by a simulation study.