• Title/Summary/Keyword: Space categorization

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Study on facility classification development of Military Barracks - Focusing on the questionnaire survey and military officials' interview of the army, navy, air force and Marine - (병영 생활관 시설 분류 개선에 관한 연구 - 육·해·공·해병대 설문 조사 및 군 간부 면담 조사를 중심으로 -)

  • Sung, Lee-Yong;Yi, Sang-Ho
    • Korean Institute of Interior Design Journal
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    • v.22 no.1
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    • pp.19-27
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    • 2013
  • The objective of this study was to establish Facility classification for military barracks among military facilities. The military barracks are the place where soldiers spend most of their time. Thus, a new type of space in military barracks is required to improve the quality of life of the soldiers and make the military more advanced for national defense. The research method was to derive problems through a survey of the previous literature and case studies and to select target places in the Army, Navy, Air Force, and Marine based on the derived problems. An improvement scheme was proposed by developing criteria for military barracks spaces through a questionnaire survey. The following results were obtained: Facility classification inside of national defense military facility standard should be reorganized. The alternative plan is demanded for some camp which has no need about setting up the office facility. And the study of reasonable facility area after improvementing facility categorization is required.

Text-mining Based Graph Model for Keyword Extraction from Patent Documents (특허 문서로부터 키워드 추출을 위한 위한 텍스트 마이닝 기반 그래프 모델)

  • Lee, Soon Geun;Leem, Young Moon;Um, Wan Sup
    • Journal of the Korea Safety Management & Science
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    • v.17 no.4
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    • pp.335-342
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    • 2015
  • The increasing interests on patents have led many individuals and companies to apply for many patents in various areas. Applied patents are stored in the forms of electronic documents. The search and categorization for these documents are issues of major fields in data mining. Especially, the keyword extraction by which we retrieve the representative keywords is important. Most of techniques for it is based on vector space model. But this model is simply based on frequency of terms in documents, gives them weights based on their frequency and selects the keywords according to the order of weights. However, this model has the limit that it cannot reflect the relations between keywords. This paper proposes the advanced way to extract the more representative keywords by overcoming this limit. In this way, the proposed model firstly prepares the candidate set using the vector model, then makes the graph which represents the relation in the pair of candidate keywords in the set and selects the keywords based on this relationship graph.

Content Analysis on Housing Design Guidelines for the Disabled in Korea (국내 장애인주택 디자인가이드라인 내용분석 연구)

  • Kim, Boae;Lee, Yeunsook
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.21 no.1
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    • pp.37-46
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    • 2015
  • Purpose : With a recently growing population of the disabled, the importance of creating the living environment for them has been emphasized, making the design guidelines to play more important role in this sense. This research aims to generalize the existing design guidelines for the housing for the disabled, diagnose their problems, and suggest a systematic and consistent milestone of the guidelines developed in the future. Method : The analysis objects of this research are 1910 categories of the design guidelines for the domestic housing for the disabled, and the research removed the redundancy and separated multi-complex categories. A total of 1424 independent categories were extracted, and been conducted content analysis from three aspects of redundancy, sub-categorization system and descriptive form based on the extracted categories. Results : Redundancy analysis figured out important characteristics by space. Moreover, the current guideline system can be integrated by analysis of sub-category system. Lastly, the research found that the guidelines need to be understood more easily and suggested under accurate criteria by analyzing the descriptive forms. Implication : This research holds significance as a fundamental data to improve the design guidelines for the disabled in the future, ultimately contributing to a better quality of life of the disabled.

The Study on the Contents of Domestic Dam Exhibition Hails and the Characteristics of Applied Media (국내 댐 전시관 컨텐츠와 매체 특성에 관한 연구)

  • Yi, Joo-Hyoung
    • Korean Institute of Interior Design Journal
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    • v.18 no.3
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    • pp.93-101
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    • 2009
  • Nowadays, the constructions of dams are being issued by the public due to the preservation and protection of nature considered more important than development. These social phenomenon can not be evitable due to arguing the both attitudes, preservation and development of nature. However, There are possibilities to make an agreement with the compromise between the two sides. The common goals of the attitudes are concerning human beings and their life quality. In this atmosphere, the exhibition hall of dams is very important to lead the agreement of both groups because the spaces not only provide contents to compromise by showing positive factors of dams, but present condition of using water as natural resources. The purpose of this study is based on the effect of the applied media in an exhibition hall as presenting education and enlightenment factors. To examine the effect, this study categorizes the existing media by communication types firstly. Secondly, based on the categorization, existing media of each dam exhibition hall are analyzed by numerical way. Thirdly, the general characteristics of applied media are defined by integrating the spatial contents and media. The data from the study are effective to provide the basic data for following design works for the exhibition space.

A Study of Future Fashion Image Showed in S.F Movie (S­F 영화속에 표현된 미래패션의 Image에 관한 연구)

  • 이은영;나은강
    • Journal of the Korea Fashion and Costume Design Association
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    • v.2 no.2
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    • pp.19-40
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    • 2000
  • It is supposed that the future fashion could be made by the scientist instead of fashion designer. Because it is so intellectual and avantguard. In addition to this the practical value and a certain identity is needed in this future fashion. Especially, the intention of no acceptance of categorization could be explained through the fashion clud of young people and the extremeness in the street. Paul Hedmus has insited that Tokyo club is closely related the fashion styles depended on the western historical street fashions. Fashion is mixeded contrasted, modified, resembled, reversed and finally it includes the new neaning. Instead of distinguishable logo there are lots of messages in the fashion. There are a few thousand of young people who wear silver max metal shoes. And they craze the neon picture and advertisement implies meaning the drug. It could be applied to the people of 90's. The difference between sex from the stone age is induced basically from the fashion and the part of discussion of sex. In this study we research the images of future fashion showed in SF Movie, Star Wars, Episode, The 5th Elements, Nirvana. Those were geometric and natural, technological expansion of space, corset fashion acessoruy image and geometric expression and these characteristics implied in modern fashion trend and future fashion images. Because it is supposed to the future image of current fashion. The millenium fashion is more realistic, practical, and natural instinct realization of ideal. but it is not the unrealistic, the vague of the regendary image.

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Design of Automatic Document Classifier for IT documents based on SVM (SVM을 이용한 디렉토리 기반 기술정보 문서 자동 분류시스템 설계)

  • Kang, Yun-Hee;Park, Young-B.
    • Journal of IKEEE
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    • v.8 no.2 s.15
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    • pp.186-194
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    • 2004
  • Due to the exponential growth of information on the internet, it is getting difficult to find and organize relevant informations. To reduce heavy overload of accesses to information, automatic text classification for handling enormous documents is necessary. In this paper, we describe structure and implementation of a document classification system for web documents. We utilize SVM for documentation classification model that is constructed based on training set and its representative terms in a directory. In our system, SVM is trained and is used for document classification by using word set that is extracted from information and communication related web documents. In addition, we use vector-space model in order to represent characteristics based on TFiDF and training data consists of positive and negative classes that are represented by using characteristic set with weight. Experiments show the results of categorization and the correlation of vector length.

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A Study of Civil Unmanned Aerial System Category Classification (민간 무인항공기시스템 카테고리 분류에 관한 연구)

  • Ahn, Hyojung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.43 no.7
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    • pp.657-667
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    • 2015
  • With development of technology and increase of commercial demand for unmanned aerial system(UAS), the related regulation has been prepared and complemented with the advanced countries such as Unite States and European Union(EU). However it is difficult for regulation to cover all areas of UASs practically since UASs have been developed in a variety of configurations and performance depending on their purpose. Therefore the reasonable criteria for the classification of UASs and their category should be suggested before development of the regulation. For this reason, many countries have been studying the standard for UASs classification and International Civil Aviation Organization(ICAO) makes an effort to prepare the international standards. In this paper, the new classification scheme which can complement domestic regulation is suggested based on investigation of the global trend of UAS classification and their researches.

An Experimental Study on the Injector-spray Behavior of a Liquid-propellant Thruster (액체추진제 추력기의 인젝터 분무 거동에 대한 실험적 연구)

  • Kim, Jin-Seok;Kim, Sung-Cho;Park, Jeong;Kim, Jeong-Soo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.9
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    • pp.799-804
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    • 2007
  • The behavior of spray emanating from an injector to be employed in a liquid-propellant thrust chamber is investigated by optical measurement techniques. The injector has eight holes, each of which has 30 cant angle from the center-axis with the diameter of 0.406 mm. In order to examine an atomization process according to the spray-generation conditions and the evolution along spray downstream, variational features in the velocity and size of droplets obtained through Dual-mode Phase Doppler An 799emometry (DPDA) are delineated and discussed together with instantaneous plane images captured by using Nd:Yag laser sheet beam. A categorization of spray-flow regime representing the atomization and turbulent nature is made through evaluating the non-dimensional parameters, i.e., Reynolds number and Weber number based upon the theoretical injection velocity. These qualitative and quantitative data of spray breakup will be a firm basis for the design of brand-new thruster

Incremental Clustering Algorithm by Modulating Vigilance Parameter Dynamically (경계변수 값의 동적인 변경을 이용한 점층적 클러스터링 알고리즘)

  • 신광철;한상용
    • Journal of KIISE:Software and Applications
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    • v.30 no.11
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    • pp.1072-1079
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    • 2003
  • This study is purported for suggesting a new clustering algorithm that enables incremental categorization of numerous documents. The suggested algorithm adopts the natures of the spherical k-means algorithm, which clusters a mass amount of high-dimensional documents, and the fuzzy ART(adaptive resonance theory) neural network, which performs clustering incrementally. In short, the suggested algorithm is a combination of the spherical k-means vector space model and concept vector and fuzzy ART vigilance parameter. The new algorithm not only supports incremental clustering and automatically sets the appropriate number of clusters, but also solves the current problems of overfitting caused by outlier and noise. Additionally, concerning the objective function value, which measures the cluster's coherence that is used to evaluate the quality of produced clusters, tests on the CLASSIC3 data set showed that the newly suggested algorithm works better than the spherical k-means by 8.04% in average.

Classifying Windows Executables using API-based Information and Machine Learning (API 정보와 기계학습을 통한 윈도우 실행파일 분류)

  • Cho, DaeHee;Lim, Kyeonghwan;Cho, Seong-je;Han, Sangchul;Hwang, Young-sup
    • Journal of KIISE
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    • v.43 no.12
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    • pp.1325-1333
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    • 2016
  • Software classification has several applications such as copyright infringement detection, malware classification, and software automatic categorization in software repositories. It can be also employed by software filtering systems to prevent the transmission of illegal software. If illegal software is identified by measuring software similarity in software filtering systems, the average number of comparisons can be reduced by shrinking the search space. In this study, we focused on the classification of Windows executables using API call information and machine learning. We evaluated the classification performance of machine learning-based classifier according to the refinement method for API information and machine learning algorithm. The results showed that the classification success rate of SVM (Support Vector Machine) with PolyKernel was higher than other algorithms. Since the API call information can be extracted from binary executables and machine learning-based classifier can identify tampered executables, API call information and machine learning-based software classifiers are suitable for software filtering systems.