• 한국컴퓨터정보학회논문지
• /
• 제21권11호
• /
• pp.31-38
• /
• 2016

In this paper, we propose multi-scale infrared target detection algorithm with varied filter size using integral image. Filter based target detection is widely used for small target detection, but it doesn't suit for large target detection depending on the filter size. When there are multi-scale targets on the sky background, detection filter with small filter size can not detect the whole shape of the large targe. In contrast, detection filter with large filter size doesn't suit for small target detection, but also it requires a large amount of processing time. The proposed algorithm integrates the filtering results of varied filter size for the detection of small and large targets. The proposed algorithm has good performance for both small and large target detection. Furthermore, the proposed algorithm requires a less processing time, since it use the integral image to make the mean images with different filter sizes for subtraction between the original image and the respective mean image. In addition, we propose the implementation of real-time embedded system using FPGA.

• 대한전자공학회논문지SP
• /
• 제42권4호
• /
• pp.39-48
• /
• 2005

본 논문에서는 Bayesian 추정법과 신경회로망을 이용한 새로운 결 분할 방법을 제안한다 신경회로망의 입력으로는 다중스케일을 가지는 웨이블릿 계수와 인접한 이웃 웨이블릿 계수들의 문맥정보를 사용하고, 신경회로망의 출력을 사후 확률로 모델링한다. 문맥정보는 HMT(Hidden Markov Tree) 모델을 이용하여 구한다. 제안 방법은 HMT를 이용한 ML(Maximum Likelihood) 분할 보다 더 우수한 결과를 보여준다. 또한 HMT를 이용한 결 분할 방법과 제안 방법을 이용한 결 분할 각각에 HMTseg라고 불리는 다중 스케일 Bayesian 영상 분할 기술을 이용하여 후처리를 행한 결 분할 또한 제안 방법이 우수함을 보여준다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권1호
• /
• pp.347-370
• /
• 2019

In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.

• Steel and Composite Structures
• /
• 제31권5호
• /
• pp.517-527
• /
• 2019

To move forward in large steps rather than in small increments, the community would benefit from a systematic and comprehensive database of multi-scale composites and measured properties, driven by comprehensive studies with a full range of types of fiber-reinforced polymers. The multi-scale hierarchy is a promising chemical approach that provides superior performance in synergistically integrated microstructured fibers and nanostructured materials in composite applications. Achieving high-efficiency thermal conductivity and mechanical properties with a simple surface treatment on single-walled carbon nanotubes (SWCNTs) is important for multi-scale composites. The main purpose of the project is to introduce ozone-treated SWCNTs between an epoxy matrix and basalt fibers to improve mechanical properties and thermal conductivity by enhancing dispersion and interfacial adhesion. The obvious advantage of this approach is that it is much more effective than the conventional approach at improving the thermal conductivity and mechanical properties of materials under an equivalent load, and shows particularly significant improvement for high loads. Such an effort could accelerate the conversion of multi-scale composites into high performance materials and provide more rational guidance and fundamental understanding towards realizing the theoretical limits of thermal and mechanical properties.

• 대한토목학회논문집
• /
• 제39권6호
• /
• pp.903-911
• /
• 2019

공동구는 필수적인 사회기반시설 중의 하나이나, 국토계획법의 공동구 설치의무규모(200만㎡)로 인하여 공동구의 설치가 어려운 실정이다. 본 논문에서는 공동구 설치 활성화를 위하여 기존시가지에서의 공동구 설치에 대한 타당성을 분석하였다. 타당성 분석을 위하여 관련법규를 근거로 규모를 4가지로 분류하였으며, 타당성과 경제성 분석을 활용하여 관련지표 선정 및 평가를 진행하였다. 그 결과 기존시가지의 규모에 적합한 터널식 공동구는 3종/4종으로 나타났으며, 200만㎡ 이상의 신도시는 5종의 개착식 공동구가 적합한 것으로 분석되었다. 현재 공동구 설치 의무 규모인 신도시 200만㎡ 이상에서 개착식과 기존시가지의 터널식 공동구의 종합평가결과가 많은 차이를 보이지 않으므로, 기존시가지에서 다양한 규모의 공동구 설치가 타당하다는 것을 제시하고자 한다.

• 제어로봇시스템학회논문지
• /
• 제10권12호
• /
• pp.1164-1171
• /
• 2004

A new multi-scale simulation model is proposed to analyze heart mechanics. Electrophysiology of a cardiac cell is numerically approximated using the previous model of human ventricular myocyte. The ion transports across cell membrane initiated by action potential induce an excitation-contraction mechanism in the cell via cross bridge dynamics. Negroni and Lascano model (NL model) is employed to calculate the tension of cross bridge which is closely related to the ion dynamics in cytoplasm. To convert the tension on cell level into contraction force of cardiac muscle, we introduce a simple geometric model of ventricle with a thin-walled hemispheric shape. It is assumed that cardiac tissue is composed of a set of cardiac myocytes and its orientation on the hemispheric surface of ventricle remains constant everywhere in the domain. Application of Laplace law to the ventricle model enables us to determine the ventricular pressure that induces blood circulation in a body. A lumped parameter model with 7 compartments is utilized to describe the systemic circulation interacting with the cardiac cell mechanism via NL model and Laplace law. Numerical simulation shows that the ion transports in cell level eventually generate blood hemodynamics on system level via cross bridge dynamics and Laplace law. Computational results using the present multi-scale model are well compared with the existing ones. Especially it is shown that the typical characteristics of heart mechanics, such as pressure volume relation, stroke volume and ejection fraction, can be generated by the present multi-scale cardiovascular model, covering from cardiac cells to circulation system.

• 전자공학회논문지
• /
• 제52권5호
• /
• pp.115-123
• /
• 2015

점진 학습은 비교적 높은 얼굴 추적 성능을 보이지만, 환경적인 변화로 인해 추적에 오차가 발생하면 그 이후의 추적에 오차가 전파되어 추적 성능이 감소한다는 단점이 있다. 본 논문에서는, 다양한 변이 조건에서 강인하게 동작할 수 있는 선택적인 점진 학습 방법을 제안한다. 먼저, 개별 프레임에 대해 LBP(Local Binary Pattern) 특징을 추출하여 사용함으로써 조명 변이에 보다 강인하게 동작 할수 있고, Staggered Multi-Scale LBP를 사용하여 점진 학습에 사용할 패치(patch)를 선택하여 이전 프레임에서의 오차가 전파되는 것을 방지하였다. 실험을 통해, 제안한 방법이 조명 변이와 같은 환경적 변이가 존재하는 비디오 영상에 대해서도 기존의 추적 방법들보다 우수한 얼굴 추적 성능을 보이는 것을 확인할 수 있었다.

• 한국GIS학회:학술대회논문집
• /
• 한국GIS학회 2004년도 추계 학술대회 논문집
• /
• pp.27-40
• /
• 2004

다중축척 공간데이터베이스란 동일한 현실 공간을 여러 축척의 데이터베이스로 저장한 것을 말한다. 이 다중축척의 데이터베이스는 기존에 구축된 원시 데이터베이스로부터 유도될 수 있다. 그런데 이 유도과정에서 원시 데이터베이스에 있던 기하 및 위상관계는 변형이 된다. 그리고 이 관계 변형은 유도된 데이터베이스의 무결성을 보장하지 못하는 원인이 된다. 때문에 유도된 데이터베이스가 원시 데이터베이스와 일관성이 있는지를 조사할 필요가 있다. 이 논문은 원시 데이터베이스와 유도된 다중축척 데이터베이스간의 위상적 일관성에 초점을 둔다. 특히, 2차원 공간객체가 1차원으로 축소되었을 때 위상관계의 일관성을 평가하는 방법을 제안할 것이다. 즉, 2차원 공간객체간에 위상관계를 표현하는 8가지 위상관계를 2차원과 1차원 공간객체간에 위상관계를 표현하는 19가지 위상관계로 일관성 있게 전환하는 4가지 방법을 제안할 것이다. 이 방법들은 새로 생성된 다중축척 데이터베이스의 위상관계가 원시 데이터베이스로부터 일관성 있게 유도되었는지를 판단하는 근거가 될 수 있다. 또, 다중축척 데이터베이스간에 위상관계의 일관성을 보장하므로 동일 공간에 주어진 사용자 질의는 축척에 상관없이 그 결과가 동일하게 된다.

• Smart Structures and Systems
• /
• 제16권1호
• /
• pp.223-242
• /
• 2015

Wireless sensor networks (WSNs) have emerged as a novel solution to many of the challenges of structural health monitoring (SHM) in civil engineering structures. While research projects using WSNs are ongoing worldwide, implementations of WSNs on full-scale structures are limited. In this study, a WSN is deployed on a full-scale 17.3m-long, 11-bay highway sign support structure to investigate the ability to use vibration response data to detect damage induced in the structure. A multi-level damage detection strategy is employed for this structure: the Angle-between-String-and-Horizon (ASH) flexibility-based algorithm as the Level I and the Axial Strain (AS) flexibility-based algorithm as the Level II. For the proposed multi-level damage detection strategy, a coarse resolution Level I damage detection will be conducted first to detect the damaged region(s). Subsequently, a fine resolution Level II damage detection will be conducted in the damaged region(s) to locate the damaged element(s). Several damage cases are created on the full-scale highway sign support structure to validate the multi-level detection strategy. The multi-level damage detection strategy is shown to be successful in detecting damage in the structure in these cases.

• 가정과삶의질연구
• /
• 제16권4호
• /
• pp.155-166
• /
• 1998

The purpose of this study was to develop ' the Behavior Problem Scale for Children and Adolescence' The 518 subjects were selected from 5th and 6th grades of elementary schools and first and second grades of middle schools in Pusan. Statistics used for data analysis were χ2 cramer's V, factor analysis multi-regression Pearson's r, Cronbach's a. The major finding of this study were as follows 1) 80 items of the 159 item scale were acceptable through item discriminant method The discriminant coefficients of the items(Cramer's V) ranged from .48 to .81. 2) 6 factors(shyness aggression hyperactivity withdrawal anxious immature) extracted from factor analysis,. Multi-regression analysis conducted to reduce the length of scale have drawn 42 items for 'the Behavior Problem Scale Children and Adolescence' 3) Reliability coefficients(Cronbach's a) of this scale was 94.