• Title/Summary/Keyword: sequential spaces

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A Study on the Planning for Access Area in the Multifamily Housing Based on the Analysis of European Examples(II) - A Case Study focussed on the Planning Skills - (공동주택의 코어계획기법에 대한 연구 -유럽의 사례를 중심으로(II) -코어의 계획기법에 대한 사례연구 -)

  • 전남일
    • Journal of the Korean housing association
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    • v.14 no.2
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    • pp.77-88
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    • 2003
  • The access area, so called "core" in the housing block, makes a buffer zone between public open space and private interior space, as well as offers chances of communication for the users. Planning and design of this area, however, tend to be not attended, comparing with another spaces in the multifamily housing block. This paper is aimed at investigating examplary model European cases and, thus, finding out some positive and applicable planning skills for multifamily housing in Korea. This study covers following aspects; firstly, the important social meaning of core area was analyzed in comparison of Korea and Europe, secondly, intensive studies on the spots, visiting German, Austrian and Dutch cases, made it possible to grasp the prevailling tendency toward assessment of this area in the Continent, Thirdly, useful planning elements and skills by European examples for more user friendliness, more economization and raising the quality of spatial design and sequential experience were founded out with regard to various core types. and lastly, some concrete guidelines for planning are presented for the improvement of so far monotnousely designed core area in the local multifamily housing. Consequently those European cases made it clear that the planning of core area is closely related to the total design of housing blocks. This study maybe conducive not only to the planning of this area, but also further to the increase of the quality of life in multifamily housing.y housing.

A multilevel framework for decomposition-based reliability shape and size optimization

  • Tamijani, Ali Y.;Mulani, Sameer B.;Kapania, Rakesh K.
    • Advances in aircraft and spacecraft science
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    • v.4 no.4
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    • pp.467-486
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    • 2017
  • A method for decoupling reliability based design optimization problem into a set of deterministic optimization and performing a reliability analysis is described. The inner reliability analysis and the outer optimization are performed separately in a sequential manner. Since the outer optimizer must perform a large number of iterations to find the optimized shape and size of structure, the computational cost is very high. Therefore, during the course of this research, new multilevel reliability optimization methods are developed that divide the design domain into two sub-spaces to be employed in an iterative procedure: one of the shape design variables, and the other of the size design variables. In each iteration, the probability constraints are converted into equivalent deterministic constraints using reliability analysis and then implemented in the deterministic optimization problem. The framework is first tested on a short column with cross-sectional properties as design variables, the applied loads and the yield stress as random variables. In addition, two cases of curvilinearly stiffened panels subjected to uniform shear and compression in-plane loads, and two cases of curvilinearly stiffened panels subjected to shear and compression loads that vary in linear and quadratic manner are presented.

Image Segmentation Using Color Morphological Pyramids (Color Morphological Pyramids를 이용한 이미지 분할)

  • 이석기;최은희;김석태
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.5
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    • pp.789-795
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    • 2002
  • Color image is formed of combination of three color channels. Therefore its architecture is very complicated and it requires complicated image Processing for effective image segmentation. In this paper. we propose architecture of universalized Color Morphological Pyramids(CMP) which is able to give effective image segmentation. Image Pyramid architecture is a successive Image sequence whose area ratio $2^{\int}({\int}=1,2,....,N)$ after filtering and subsampling of input image. In this technique, noise removed by sequential filtering and resolution is degraded by downsampling using CMP in various color spaces. After that, new level images are constructed that apply formula using distance of neighbor vectors in close level images and segments its image. The feasibility of proposed method is examined by comparing with the results obtained from the existing method.

A Semantic Text Model with Wikipedia-based Concept Space (위키피디어 기반 개념 공간을 가지는 시멘틱 텍스트 모델)

  • Kim, Han-Joon;Chang, Jae-Young
    • The Journal of Society for e-Business Studies
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    • v.19 no.3
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    • pp.107-123
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    • 2014
  • Current text mining techniques suffer from the problem that the conventional text representation models cannot express the semantic or conceptual information for the textual documents written with natural languages. The conventional text models represent the textual documents as bag of words, which include vector space model, Boolean model, statistical model, and tensor space model. These models express documents only with the term literals for indexing and the frequency-based weights for their corresponding terms; that is, they ignore semantical information, sequential order information, and structural information of terms. Most of the text mining techniques have been developed assuming that the given documents are represented as 'bag-of-words' based text models. However, currently, confronting the big data era, a new paradigm of text representation model is required which can analyse huge amounts of textual documents more precisely. Our text model regards the 'concept' as an independent space equated with the 'term' and 'document' spaces used in the vector space model, and it expresses the relatedness among the three spaces. To develop the concept space, we use Wikipedia data, each of which defines a single concept. Consequently, a document collection is represented as a 3-order tensor with semantic information, and then the proposed model is called text cuboid model in our paper. Through experiments using the popular 20NewsGroup document corpus, we prove the superiority of the proposed text model in terms of document clustering and concept clustering.

A Study on Traffic Line Efficiency of Health Examination Centers Based on Space Syntax - Focused on the Spatial Cognition of the Testee Taking the National Examination Program (공간구문론에 기초한 건강검진센터 동선효율성 분석 연구 - 국가검진프로그램에 대한 수검자의 공간인지를 중심으로)

  • Song, Seungeon;Kim, Suktae
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.18 no.4
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    • pp.53-65
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    • 2012
  • Purpose: With the increasing national interest in health, the number of health examination centers is growing rapidly, and it is growing as independent medical institutes separated from hospitals. With the growing functions and size of health examination institutes, considerations for testees, who are the most important users of the health examination centers, have taken the back seat. In particular, for health examination programs that take on a sequential traffic line, it is important to be aware of the space of each examination room, but the lack of a scientific evaluation method for this has resulted in great discomforts for testees using the health examination center. Method: Thus, this study proposes risk evaluation indices (RCF TCF, RC3, RR, ARR), and set a standard health examination program based on the national health examination program. This was applied to 11 different sized health examination centers to find their features, and together with identifying the trends of the indices, the following results were deduced. Result: 1) ARR showed a wide-range feature as the number of unit spaces increased, while RR were discovered regardless of the size, thus displaying local features. 2) The increase of ARR is affected more by internal factors in the health examination center than from outside factors. 3) By gender, when separating the basic health examination fields, the connective relation of the comprehensive health examination fields had a big effect on ARR. 4) By becoming larger, the fields of function become independent and the waiting space that results from it increases the number of total movement, so there is space for improvement in this.

Edge Detection in Color Image Using Color Morphology Pyramid (컬리 모폴로지 피라미드를 이용한 컬러 이미지의 에지 검출)

  • 남태희;이석기
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.2
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    • pp.65-69
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    • 2001
  • Edge detection is the most important process that belongs to the first step in image recognition or vision system and can determine the efficiency valuation. The edge detection with color images is very difficult. because color images have lots of information that contain not only general information representing shape, brightness and so on but also that representing colors. In this paper, we propose architecture of universalized Color Morphological Pyramids(CMP) which is able to give effective edge detection. Image pyramid architecture is a successive image sequence whose area ratio 2$\^$-1/(ι= 1, 2, . . . ,N) after filtering and subsampling of input image. In this technique, noise removed by sequential filtering and resolution is degraded by downsampling using CMP in various color spaces. After that, new level images are constructed that apply formula using distance of neighbor vectors in close level images and detection its image.

Development of Membrane Strip Assay System for Lipoprotein Cholesterol Based on Liquid-Phase Enzyme Reactions (액상 효소반응을 이용한 Membrane Strip 형 Cholesterol 측정시스템의 개발)

  • 신인수;목락선;장미라;백세환
    • KSBB Journal
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    • v.13 no.5
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    • pp.577-584
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    • 1998
  • A sensitive membrane strip assay for plasma lipoprotein cholesterol that can be performed without handling reagents has been investigated. We previously developed an assay system with immobilized enzymes (cholesterol esterase and cholesterol oxidase) on the surfaces of nitrocellulose membrane(1). In such a case, the amount of enzymes present on the membrane was limited by its surface area and, thus, the detection capability was relatively poor (> 50 mg/dL cholesterol). To overcome this problem, we devised a new system with non-immobilized enzymes by placing them within interstitial spaces of a celullose membrane pad in a dry state. Upon contact with sample medium, the enzymes were immediately dissolved and participated in the reactions with cholesterol in a liquid phase. We constructed a user-friendly system consisting of four membrane pads fro sample application, cholesterol decomposition, color development as signal, and medium absorption to invoke a continuous flow (sequential location from the bottom). A sample containing lipoproteins was added into the application pad by capillary action and transferred to the next pad for decomposition. The decomposition pad (namely, enzyme pad) contained a detergent (sodium cholate) for the destruction of lipoprotein particles, the two enzymes for cholesterol decomposition, and a chromogen (3,3'-diaminobenzidine). As a consequence of the enzyme reactions, hydrogen peroxide was produced, and then reacted in the presence of the chromogen with horseradish peroxidase immobilized on the signal generation pad. Finally, a colorimetric signal directly proportional to the cholesterol concentration was produced. The detection limit determined from this system under optimal conditions was at least 2 times lower than of the enzyme-immobilized system.

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Smart Parking Guidance System based on IoT Car-stoppers (IoT 카스토퍼 기반 스마트 주차안내 시스템)

  • Shim, Dongha;Yang, Ji-Hoon;Son, Jeungki;Han, Seung-Han;Lee, Hyounmin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.3
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    • pp.137-143
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    • 2017
  • This paper presents a smart parking guidance system based on IoT car-stoppers. The car-stopper embedding an IoT sensor module has the advantage of easy installation compared to conventional parking sensors buried in ground. The parking status data are transferred to the IoT gateway by the sequential point-to-point communication between the car-stoppers. The data transferred from the IoT gateway are stored in the web server, and parking spaces can be monitored remotely through the Android app in a smart device. An active/sleep cycle method using a watch dog timer is employed to reduce the power consumption of the battery powered car-stopper. The power consumption of the car-stopper is measured to be 80 and 25 mW at the active and sleep mode, respectively. A configuration of ultra-low-power IoT sensor module is proposed to minimize the power consumption in the sleep mode. The operation of the implemented system has been verified in a real-world parking lot.

Optimal Parameter Design for a Cryogenic Submerged Arc Welding(SAW) Process by Utilizing Stepwise Experimental Design and Multi-dimensional Design Space Analysis (단계적 실험 설계와 다차원 디자인 스페이스 분석 기술을 통한 초저온 SAW 공정의 최적 용접 파라미터 설계)

  • Lee, Hyun Jeong;Kim, Young Cheon;Shin, Sangmun
    • Journal of Korean Society for Quality Management
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    • v.48 no.1
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    • pp.51-68
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    • 2020
  • Purpose: The primary objective of this research is to develop the optimal operating conditions as well as their associated design spaces for a Cryogenic Submerged Arc Welding(SAW) process by improving its quality and productivity simultaneously. Methods: In order to investigate functional relationships among quality characteristics and their associated control factors of an SAW process, a stepwise design of experiment(DoE) method is proposed in this paper. Based on the DoE results, not only a multi-dimensional design space but also a safe operating space and normal acceptable range(NAR) by integrating statistical confidence intervals were demonstrated. In addition, the optimal operating conditions within the proposed NAR can be obtained by a robust optimal design method. Results: This study provides a customized stepwise DoE method (i.e., a sequential set of DoE such as a factorial design and a central composite design) for Cryogenic SAW process and its statistical analysis results. DoE results can then provide both the main and interaction effects of input control factors and the functional relationships between the input factors and their associated output responses. Maximizing both the product quality with high impact strength and the productivity with minimum processing times simultaneously in a case study, we proposed a design space which can provide both acceptable productivity and quality levels and NARs of input control factors. In order to confirm the optimal factor settings and the proposed NARs, validation experiments were performed. Conclusion: This research may provide significant contributions and applications to many SAW problems by preparing a standardization of the functional relationship between the input factors and their associated output response. Moreover, the proposed design space based on DoE and NAR methods can simultaneously consider a number of quality characteristics including tradeoff between productivity and quality levels.

Study on Storytelling of VR Cartoons (VR 카툰의 스토리텔링 연구)

  • Yoo, Taekyung
    • Journal of Broadcast Engineering
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    • v.23 no.1
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    • pp.45-52
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    • 2018
  • The virtual reality (VR) cartoon is a format of VR contents that leverage the characteristics of webtoons that provides the simple story line and graphical storytelling tools to strategically surmount limitations of VR contents design. The VR cartoon enables people to experience the imaginary three-dimensional space in the webtoon as a real space by the transformation of webtoon contents through VR prototyping. The VR cartoon successfully presents focused environment where people can readily pay attention to the contents without notable motion sickness. People have been familiar with the storytelling strategy in the context of published cartoons and webtoons, likely we've understood the narrative of a movie through the continuous scenes projected in the screen. Indeed, it has been recognized as a popular toolset of communication, where visual images are sequentially delivered by replacing multiple planar spaces to tell a story narrative. While there are discrete panels with the time and space resolution in the graphical cartoons, people can distill a commit closure based on their past experiences. This is a typical "grammar" of the cartoon, which can be extrapolated to the VR cartoon that provides a seminal storytelling strategy. In this article, we review how the storytelling strategy in webtoons has been transformed into that in VR cartoons, and analyze the key components of VR cartoons. We envision that our research can potentially create keystones to produce variety of new VR contents by reflecting various narrative media including cartoon as a 'sequential art'.