• 제목/요약/키워드: Problem Space

검색결과 3,980건 처리시간 0.032초

3D PASSAGE NAVIGATION UNDER UNKNOWN ENVIRONMENTS BASED ON DISTANCE FIELD SPACE MODEL

  • Nagata, Yoshitaka;Murai, Yasuyuki;Tsuji, Hiroyuki;Tokumasu, Shinji
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.500-503
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    • 2003
  • The navigation problem of robot is one of the main themes to deal with conficts or interferences between obstacles and the robot itself In this case, while the robot avoids obstacles on the space, the passage route should be determined efficiently. In order to solve problems above, we have come up with the distance field space medel (DFM) and then, under known environment, we have presented the distance field A algorithm for passage route path search. In this research, the method of performing the 3-dimensional passage route path search of robot under unknown environment is proposed. It is shown that the authors can build the distance search model the does not need space division by taking into account of sensor information to a distance field space model, and constructing this information as virtual obstacle information.

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Kernel Methods를 이용한 Human Breast Cancer의 subtype의 분류 및 Feature space에서 Clinical Outcome의 pattern 분석 (Subtype classification of Human Breast Cancer via Kernel methods and Pattern Analysis of Clinical Outcome over the feature space)

  • Kim, Hey-Jin;Park, Seungjin;Bang, Sung-Uang
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (B)
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    • pp.175-177
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    • 2003
  • This paper addresses a problem of classifying human breast cancer into its subtypes. A main ingredient in our approach is kernel machines such as support vector machine (SVM). kernel principal component analysis (KPCA). and kernel partial least squares (KPLS). In the task of breast cancer classification, we employ both SVM and KPLS and compare their results. In addition to this classification. we also analyze the patterns of clinical outcomes in the feature space. In order to visualize the clinical outcomes in low-dimensional space, both KPCA and KPLS are used. It turns out that these methods are useful to identify correlations between clinical outcomes and the nonlinearly protected expression profiles in low-dimensional feature space.

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Performance of Human Skin Detection in Images According to Color Spaces

  • Kim, Jun-Yup;Do, Yong-Tae
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.153-156
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    • 2005
  • Skin region detection in images is an important process in many computer vision applications targeting humans such as hand gesture recognition and face identification. It usually starts at a pixel-level, and involves a pre-process of color spae transformation followed by a classification process. A color space transformation is assumed to increase separability between skin classes and other classes, to increase similarity among different skin tones, and to bring a robust performance under varying imaging conditions, without any complicated analysis. In this paper, we examine if the color space transformation actually brings those benefits to the problem of skin region detection on a set of human hand images with different postures, backgrounds, people, and illuminations. Our experimental results indicate that color space transfomation affects the skin detection performance. Although the performance depends on camera and surround conditions, normalized [R, G, B] color space may be a good choice in general.

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아파트 단지내 지하주차장의 이용행태 분석에 관한 연구 (A Study on the Analysis of Users' Behaviors on the Underground Parking Space in an Apartment Complex)

  • 이상구;윤충열
    • 한국주거학회논문집
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    • 제14권6호
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    • pp.165-172
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    • 2003
  • With the rate of spread of motors rapidly increased, but parking difficulties in an apartment complex was aggravated due to an insufficient parking lot. Visual interference on residential environment, various kinds of pollution and noise, decrease of open space in an apartment complex are also causes of parking difficulties. Therefore, this study is to suggest a theory of desirable direction for planning of the parking space by studying psychological characteristics of users' behaviors by the type of the circulation of motors and pedestrians. Consideration on the present situation, real conditions of underground parking space and the consciousness and parking habit of residents, the most important problem is required in this study.

아파트단지 내부의 리모델링 수법에 관한 연구 (A Study of the Remodeling Techniques for Old Apartment Blocks)

  • 김한수;김재홍
    • 한국주거학회논문집
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    • 제13권6호
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    • pp.121-131
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    • 2002
  • The rebuilding method for old apartment housing blocks has merits of providing new buildings and larger private living spaces. However, it causes many serious urban problems, such as shortage of infrastructure capacity, traffic congestion, reduction of building life, and deterioration of open space quality. Nowadays, remodeling is accepted as a way of overcoming such negative effects of the rebuilding method. This study focuses on the various techniques of remodeling. The results of this research are as follows; First, old apartment blocks provide poor level of service in general, so they have problems of bad accessibility, deterioration of facilities, and degraded landscape. In many cases, there is a hindrance from walking freely and security problem due to illegal privatization of public spaces. Second, various remodeling techniques are required to meet residents' different needs. The residents of apartment housing value private space above public space, and show low level of willingness to pay cost for remodeling. Third, based on these findings, some remodeling techniques are suggested - integration of a space to another, expansion of spaces, connection of spaces, reuses of roofs and walls, relocation and renovation of paths between buildings, and so on.

수직형 복합상영관의 퇴장공간에 관한 연구 (A study on the Exit Areas in Vertical Type of Multiplex Cinema)

  • 이미숙;곽재훈;한혜련
    • 한국실내디자인학회:학술대회논문집
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    • 한국실내디자인학회 2004년도 춘계학술발표대회 논문집
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    • pp.60-65
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    • 2004
  • This dissertation is focalized on examining research on the actual condition and problem in the exit-space-form of Multiplex Cinema and mutual relation of user and finding more efficient and reasonable project method through valuation of design elements which the user can feel. In result, 4 place which is newly opened after 1990's is analyzed in Seoul. It is researched that Many user feel inconvenience and discomfort when they recognize exit-space. In order to improve itthey want to feel at ease naturally with light-embeded sign and landscape space. The exit-space should be recognized that it is a part of cinema which have to be developed and planed for the inner part of cinema and security of user. Not death-space.

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고령자(高玲者)를 위한 집합주거시설(集合住居施設)의 공용공간(共用空間) 계획(計劃)에 관한 연구(硏究) (A Study on the Public Space Planning of Congregate Housing of the Elderly)

  • 박남희;이상호
    • 한국실내디자인학회:학술대회논문집
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    • 한국실내디자인학회 2007년도 춘계학술대회 논문집
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    • pp.105-109
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    • 2007
  • Aging society appears immediate social problem in Korea. Housing for aging is required independent and comfortable housing life to live considering about feature of elderly. It is necessary field to prepare. Aged person who suffers the aging process several stages gets changing weak, so living environment is important aging person aspect of social, psychological and physical point. Finally, aged person living together requires facilities for the naturally communicating and active things. Community of aged person required organization of space for keeping independence and connection with each other. According to space of community, housing for aging should have a different access route. In conclusion, congregate housing of the elderly should be planed organization of space to be solved anxiety and tension and to be aware of joining the community.

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Polynomial Fuzzy Radial Basis Function Neural Network Classifiers Realized with the Aid of Boundary Area Decision

  • Roh, Seok-Beom;Oh, Sung-Kwun
    • Journal of Electrical Engineering and Technology
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    • 제9권6호
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    • pp.2098-2106
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    • 2014
  • In the area of clustering, there are numerous approaches to construct clusters in the input space. For regression problem, when forming clusters being a part of the overall model, the relationships between the input space and the output space are essential and have to be taken into consideration. Conditional Fuzzy C-Means (c-FCM) clustering offers an opportunity to analyze the structure in the input space with the mechanism of supervision implied by the distribution of data present in the output space. However, like other clustering methods, c-FCM focuses on the distribution of the data. In this paper, we introduce a new method, which by making use of the ambiguity index focuses on the boundaries of the clusters whose determination is essential to the quality of the ensuing classification procedures. The introduced design is illustrated with the aid of numeric examples that provide a detailed insight into the performance of the fuzzy classifiers and quantify several essentials design aspects.

Disturbance-Observer-Based Robust H Switching Tracking Control for Near Space Interceptor

  • Guo, Chao;Liang, Xiao-Geng
    • International Journal of Aeronautical and Space Sciences
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    • 제15권2호
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    • pp.153-162
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    • 2014
  • A novel robust $H_{\infty}$ switching tracking control design method with disturbance observer is proposed for the near space interceptor (NSI) with aerodynamic fins and reaction jets. Initially, the flight envelop of the NSI is divided into small subregions, and a slow-fast loop polytopic linear parameter varying (LPV) model is proposed, to approximate the nonlinear dynamic of the NSI, based on the Jacobian linearization and Tensor-Product (T-P) model transformation approach. A disturbance observer is then constructed, to estimate the modeled disturbance. Subsequently, based on the descriptor system method, a robust switching controller is developed, to ensure that the closed-loop descriptor system is stable with a desired $H_{\infty}$ disturbance attenuation level. Furthermore, the outcome of the proposed switching tracking control problem is formulated as a set of linear matrix inequalities (LMIs). Finally, simulation results demonstrate the effectiveness of the proposed design method.

Attitude Control of Planar Space Robot based on Self-Organizing Data Mining Algorithm

  • Kim, Young-Woo;Matsuda, Ryousuke;Narikiyo, Tatsuo;Kim, Jong-Hae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.377-382
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    • 2005
  • This paper presents a new method for the attitude control of planar space robots. In order to control highly constrained non-linear system such as a 3D space robot, the analytical formulation for the system with complex dynamics and effective control methodology based on the formulation, are not always obtainable. In the proposed method, correspondingly, a non-analytical but effective self-organizing modeling method for controlling a highly constrained system is proposed based on a polynomial data mining algorithm. In order to control the attitude of a planar space robot, it is well known to require inputs characterized by a special pattern in time series with a non-deterministic length. In order to correspond to this type of control paradigm, we adopt the Model Predictive Control (MPC) scheme where the length of the non-deterministic horizon is determined based on implementation cost and control performance. The optimal solution to finding the size of the input pattern is found by a solving two-stage programming problem.

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