• Korean Journal of Plant Resources
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• v.35 no.2
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• pp.362-371
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• 2022

This study was conducted to analyze the fragrance characteristics of Cymbidium 'Saelbit' and 'Midan' according to floral organs. As test materials, full bloom flowers were divided into four organs: sepal, petal, labellum, and column. Using the gas chromatography (GC) based electronic nose, fragrance patterns, intensity, and volatile components were analyzed. Principle component analysis (PCA) and discriminant factorial analysis (DFA) plots by electronic nose data showed that volatiles of both cultivars have a distinct difference in fragrance patterns according to the floral organs, and the value of fragrance distance and pattern discrimination index (PDI) between samples was significantly high between control and sepals in both cultivars. Among the main fragrance components, several components including nootkatone were detected in both cultivars and all floral organs. However, few components such as decane were found in specific cultivar or floral organs. These results will provide useful information to select suitable materials with desired fragrance and to enhance the utilization of domestic Cymbidium cultivars. In addition, considering the recent negative perception of artificial ingredients and the growing demand for natural materials, continuous researches on scent properties of promising cultivars are required.

• Korean Institute of Interior Design Journal
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• v.17 no.2
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• pp.30-38
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• 2008

It has been stated that the outer skin of an architecture should be related to and express the interior programs. It was rather moral issue than practicality. In contemporary urban cities, this nicely-linked relationship between exterior and interior has become much more complex and, in many cases, is no more valid. It tends that contemporary architectural skin is somehow separately developed and has its own logic to be independent from what is inside. This research focuses on these sort of logical design process to make unique image of skin in which conceptual thinking, spatialization and materialization are mixed together. More specifically this study articulates' expandable patternization process' based on the notion that it has a crucial role to systematically construct an image of skin. Expandable patternization has a couple of stages to complete an architectural skin. The first element is a single unit and the second is organization or arrangement of units based on a logical process. Lastly, the third is spatialization after relating the skin to the interior programs as well as environmental surroundings. It is found that, although, in most related projects, the architect or designer has followed his or her own preference or design tendencies, many skin projects has based the given unique characteristics from the beginning. This study concludes that skin design is not just an image making, but has an important role to amalgamate various aspects of an architectural projects: programs, concept of architect, environment, structure as well as image.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.4
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• pp.113-118
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• 2011

Sequence homology analysis in the substances in the phenomenon of life is to create database by sorting and indexing and to demonstrate the usefulness of informatics. In this paper, Markov models are used in GenScan program to convert the pattern of complex eukaryotic protein sequences. It becomes impossible to navigate the minimum distance, complexity increases exponentially as the exact calculation. It is used scorecard in amino acid substitutions between similar amino acid substitutions to have a differential effect score, and is applied the Markov models sophisticated concealment of the transition probability model. As providing superior method to translate sequences homologous sequences in analysis using blast p, Markov models. is secreted protein structure of sequence translations.

• Archives of design research
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• v.19 no.1 s.63
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• pp.59-68
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• 2006

Scarf has played an important role not only as keeping warm of human body but also as accessory of clothes. These days with taking a growing interest of accessory, scarf had thrown off a subsidiary part and gradually had a leading place which guides the overall mode of fashion. Because scarf design of Korea does not get out of imitation step of foreign countries brands it is necessary to develop the scarf design which can show the cultural identity and originality of Korea in international society. Therefore in this study, I chose lotus flower patterns expressed on Buncheon pottery and Korean traditional patchwork cloth as the subject material of scarves design development, and my intention for this study is to develop scarves designs of Korean images by adding modern scenes. For that, first I researched lotus flower patterns expressed on Buncheon pottery and Korean traditional patchwork cloth. Among those materials, I selected to had been presented modern image. And by using computer design program of adobe illustrator 10.0 I designed the basic patterns of three types and developed the square scarves design and rectangle scarves design with those.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.81-99
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• 2020

Origin-destination data have been collected and utilized for demand analysis and service design in various fields such as public transportation and traffic operation. As the utilization of big data becomes important, there are increasing needs to store raw origin-destination data for big data analysis. However, it is not practical to store and analyze the raw data for a long period of time since the size of the data increases by the power of the number of the collection points. To overcome this storage limitation and long-period pattern analysis, this study proposes a methodology for compression and origin-destination data analysis with the compressed data. The proposed methodology is applied to public transit data of Sejong and Seoul. We first measure the reconstruction error and the data size for each truncated matrix. Then, to determine a range of principal components for removing random data, we measure the level of the regularity based on covariance coefficients of the demand data reconstructed with each range of principal components. Based on the distribution of the covariance coefficients, we found the range of principal components that covers the regular demand. The ranges are determined as 1~60 and 1~80 for Sejong and Seoul respectively.

• Korean Journal of Remote Sensing
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• v.24 no.2
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• pp.117-124
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• 2008

This paper introduces a novel approach for automated mapping of a map feature that is vinyl green house in high spatial resolution imagery Some map features have their unique spatial patterns. These patterns are normally detected in high spatial resolution remotely sensed data by human recognition system. When spatial patterns can be applied to map feature identification, it will improve image classification accuracy and will be contributed a lot to feature identification. In this study, an automated feature identification approach using spatial aucorrelation is developed, specifically for the vinyl green house that has distinctive spatial pattern in its array. The algorithm aimed to develop the method without any human intervention such as digitizing. The method can investigate the characteristics of repeated spatial pattern of vinyl green house. The repeated spatial pattern comes from the orderly array of vinyl green house. For this, object-based approaches are essential because the pattern is recognized when the shapes that are consists of the groups of pixels are involved. The experimental result shows very effective vinyl house extraction. The targeted three vinyl green houses were exactly identified in the IKONOS image for a part of Jeju area.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.21 no.5
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• pp.459-467
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• 2010

A new type of circularly polarized(CP) antenna that is characterized by having both low-profile and greater axial-ratio bandwidth(ARBW) beyond existing antennas is introduced through analysis of artificial magnetic conductor(AMC) polarizer, and experimentally demonstrated. Although it is made use of a linear-polarized dipole antenna with close proximity to ground plane, it is backed by AMC polarizer so as to efficiently radiate with circularly changed polarization whose ARBW is determined by the texture geometry, whereas existing antennas exhibit CP surface-current on radiators, which limit ARBW. The mechanism of the polarization conversion is theoretically analyzed for ARBW, and the experimental properties including the impedance matching, CP radiation pattern, axial-ratio pattern, ARBW, and two-port isolation are discussed.

• Journal of KIISE
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• v.44 no.11
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• pp.1178-1193
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• 2017

It is very important to understand system behaviors in collective pattern for each knowledge domain. However, there are structural limitations to represent collective behaviors because of the size of system components and the complexity of their interactions, causing the state explosion problem. Further composition with other systems is mostly impractical because of exponential growth of their size and complexity. This paper presents a practical method to model the collective behaviors, based on a new concept of domain engineering: behavior ontology. Firstly, the ontology defines each collective behavior of a system from active ontology. Secondly, the behaviors are formed in a quantifiably abstract lattice, called common regular expression. Thirdly, a lattice can be composed with other lattices based on quantifiably common elements. The method can be one of the most innovative approaches in representing system behaviors in collective pattern, as well as in minimization of system states to reduce system complexity. For implementation, a prototype tool, called PRISM, has been developed on ADOxx Meta-Modelling Platform.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.82-84
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• 2005

기존의 웜 탐지는 중요한 네트워크 소스의 폭주라 스위치 라우터 및 말단 시스템에서의 변동 효과를 가지고 공격을 판단했었다. 하지만 최근의 인터넷 웜은 발생 초기에 대응하지 못하면 그 피해의 규모가 기하급수적으로 늘어난다. 또한 방어하기가 어려운 서비스 거부 공격을 일으킬 수 있는 간접 공격의 주범이 될 수 있다는 정에서 웜의 탐지와 방어는 인터넷 보안에 있어서 매우 중요한 사안이 되었다. 본 논문에서는 이미 알려진 공격뿐 아니라 새로운 웜의 스캐닝 공격을 탐지하기 위하여, 패턴 분류 문제에 있어서 우수한 성능을 보이는 Support Vector Machine(SVM)[1]을 사용하여 인터넷 웜의 스캐닝 공격을 탐지하는 시스템 모델을 제안한다.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.451-454
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• 2001

본 논문에서는 그룹화 블록스네이크와 영상분할을 이용하여 다차선을 검출하고 컬러 정보를 기반으로 차량 후면에 위치하는 미등과 브레이크등을 인식, 저속 주행환경에서의 다차선 및 전방차량을 인식하는 알고리즘을 제안하였다. 제안한 알고리즘에서는 기울기 값과 명암도 값으로 기초 블록을 얻은 뒤, 차선의 가능성이 큰 블록을 탐색하여 영상분할을 시행한다. 영상 분할에서 잡음 블록들을 제거하여 차선일 가능성이 가장 높은 블록들만을 검출하고, 그룹화 블록스네이크를 이용하여 차선을 검출하도록 하였다. 또한 전방 차량인식을 위해 미등과 브레이크등의 컬러 특징을 이용하여 후보 영역을 분할한 후, 미등과 브레이크등의 패턴의 기하학적 특징과 위치적 특징을 이용하여 한 쌍의 미등 혹은 브레이크등을 탐지하도록 하였다. 탐지된 양쪽 등의 위치정보를 이용하여 전방차량의 위치를 측정 할 수 있다.