• 한국주거학회논문집
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• 제8권3호
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• pp.163-175
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• 1997

This study is aimed at developing the systematic application of logic in composition of architectural space. It is investigated in the logical concept and its development applied to the rule of composition. Applying the method to the architectural composition. it is focused on modeling to the systematic approach in architectural composition. Therefore this study is investigated in the design process on the viewpoint of the systematic approach considering diverse variables. and it is accomplished to logical composition in architectural space. Being more studied. this method is applied to the composition of architect ureal space and practice.

• 대한임베디드공학회논문지
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• 제3권1호
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• pp.1-7
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• 2008

In this paper, a MSS-NOVO method that combines the HMM composition method with a noise reduction method is proposed for speech recognition in noisy environments. This combined method starts with noise reduction with modified spectral subtraction (MSS) to enhance the input noisy speech, then the noise and voice composition (NOVO) method is applied for making noise adapted models by using the noise in the non-utterance regions of the enhanced noisy speech. In order to evaluate the effectiveness of our proposed method, we compare MSS-NOVO method with other methods, i.e., SS-NOVO, MWF-NOVO. To set up the noisy speech for test, we add White noise to KLE 452 database with different SNRs range from 0dB to 15dB, at 5dB intervals. From the tests, MSS-NOVO method shows average improvement of 66.5% and 13.6% compared with the existing SS-NOVO method and MWF-NOVO method, respectively. Especially our proposed MSS-NOVO method shows a big improvement at low SNRs.

• 한국농촌건축학회논문집
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• 제10권2호
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• pp.53-61
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• 2008

There are many ways to know the social and cultural level of each country. Among them, a theme museum are not only the best place to understand the history, the life style and the culture level. This thesis has the purpose to provide the basic material through analyzing the space composition and the visitor circulation of the theme museum and understanding the relativity of them so that the new theme museums can be designed in the right direction. So I chose the independence museum that opened with in recent 10 years, finally middle & small size's theme museum were selected. The results from the case study are as follow. Firstly, according to a result of analyzing the characteristics of space composition with the ratio of each part's area, space composition of each museum is mainly for the exhibition part, but rarely for the education part. Secondly, theme museums in Jeju have the limit of diversity of circulation method because they have not the free circulation method. Thirdly, the characteristics of space composition is divided into basic type, center-hall enter type, around the center-hall type and guidance type. Fourthly, by analyzing the characteristics of space composition and circulation method of traffic line, it's realized that selective circulation method was applied to basic type and center-hall enter type, and guidance circulation method was applied to around the center-hall type and guidance type.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권5호
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• pp.1463-1478
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• 2012

Based on the theory of local-world network, the composition self-similarity (CSS) of network traffic is presented for the first time in this paper for the study of DoS detection. We propose the concept of composition distribution graph and design the relative operations. The $(R/S)^d$ algorithm is designed for calculating the Hurst parameter. Based on composition distribution graph and Kullback Leibler (KL) divergence, we propose the composition self-similarity anomaly detection (CSSD) method for the detection of DoS attacks. We evaluate the effectiveness of the proposed method. Compared to other entropy based anomaly detection methods, our method is more accurate and with higher sensitivity in the detection of DoS attacks.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 2008년도 연합학회학술대회
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• pp.369-377
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• 2008

사용자의 서비스 요구시 사용자의 요구사항에 꼭 맞는 단일 서비스가 존재하지 않는다면, 여러 서비스를 조합할 필요성이 있다. 서비스 조합에 대한 연구 중 서비스 지향 아키텍처 기반의 서비스 조합 기술인 서비스 컴포넌트 아키텍처(Service Component Architecture) 표준화가 진행되고 있다. 이 표준은 시스템 설계 단계에서의 서비스 조합을 목표로 하고 있어, 동적 서비스 조합이 요구되는 유비쿼터스 환경에서는 활용되기 어렵다. 따라서, 본 논문에서는 서비스 컴포넌트 아키텍처를 확장하여 유비쿼터스 환경에서 동적 서비스 조합이 가능한 방법을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.891-910
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• 2021

Previous QoS-aware service composition methods mainly focus on how to generate composite service with the optimal QoS efficiently for a single request. However, in the real application scenarios, there are multiple service requests and multiple service providers. It is more important to compose services with suboptimal QoS and maintain the load balance between services. To solve this problem, in this paper, we propose a service composition method, named as dynamically change and balancing composition method (DCBC). It assumes that the QoS of service is not static, and the services can adjust the value of QoS to gain more opportunities to be selected for composition. The method mainly includes two steps, which are the preprocessing step and the service selection step. In the preprocessing step, a backward global best QoS calculation is performed which regarding the static and dynamic QoS respectively; then guided by the global QoS, the feasible services can be selected efficiently in the service selection step. The experiments show that the DCBC method can not only improve the overall quality of composite services but also guarantee the fulfill ratio of requests and the load balance of services.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1991년도 하계학술대회 논문집
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• pp.896-899
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• 1991

This paper presents the neural network method to predict the Korea composition stock price index. The error back-propagation method is used to train the multi-layer perceptron network. Ten of the various economic indices of the past 7 Nears are used as train data and the monthly transition of the composition stock price index is represented by five output neurons. Test results of this method using the data of the last 18 months are very encouraging.

• 한국컴퓨터정보학회논문지
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• 제19권1호
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• pp.9-21
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• 2014

본 논문에서는 일반 사용자가 카메라로 사진을 촬영할 경우에 시선을 집중시키면서 안정적인 구도의 영상을 얻을 수 있는 자동 구도 제시기법을 제안한다. 일반 사용자는 대부분 사진의 구도에 대한 배경지식이 없이 사진을 촬영하고, 촬영된 사진은 피사체의 위치가 적절하지 않아 전문가들이 촬영한 안정적인 구도의 사진과 대조된다. 따라서 비전문가 사용자들에게 촬영 후 영상을 처리하는 방법이 아닌 촬영 시 안정적인 구도를 자동으로 제시해주는 방법을 제공한다. 제안하는 방법은 Saliency Map, Image Segmentation, 윤곽선 검출 등을 통해 피사체를 분석하고 피사체를 안정적인 구도가 구성될 수 있는 위치에 황금분할 가이드라인과 함께 출력한다. 실험결과를 통해 피사체를 분석하고 윤곽선을 검출하여 사용자에게 자동으로 구도가 제시되는 것을 알 수 있다.

• 디지털산업정보학회논문지
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• 제9권3호
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• pp.13-20
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• 2013

In this paper, we propose a multi-scale crack detection method. This method uses decomposition, composition, and shape properties. It is based on morphology algorithm, crack features. We use a morphology operator which extracts patterns of crack. It segments cracks and background using opening and closing operations. Morphology based segmentation is better than existing integration methods using subtraction in detecting a crack it has small width. However, morphology methods using only one structure element could detect only fixed width crack. Thus, we use decomposition and composition methods. We use a decimation method for decomposition. After decomposition and morphology operation, we get edge images given by binary values. Our method calculates values of properties such as the number of pixels and the maximum length of the segmented region. We decide whether the segmented region belongs to cracks according to those data. Experimental results show that our proposed multi-scale crack detection method has better results than those of existing detection methods.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2333-2337
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• 2007

The practical studies on the method of particle contamination control for yield enhancement in the cleanroom were carried out. The method of the contamination control was considered, which is composed of data collection, data analysis, improvement action, verification, and implement control. The composition analysis for data collection and data analysis was used in the cellular phone module packaging lines. And this method was evaluated by the variation of yield loss between before and after improvement action. In case that the composition analysis was applied, the critical sources were selected and yield loss reduction through improvement actions was also investigated. From these results, it is concluded that the composition analysis is effective solutions for particle contamination control in the cleanroom.