• Title/Summary/Keyword: one-to-one correspondence

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A Study on the Selection Attribute of Bakery Stores using Correspondence Analysis (대응일치분석을 이용한 국내 제과점의 선택 속성 분석)

  • Lee, Kwang Suck;Kim, Eun Ji;Jung, Hyo Sun
    • Korean journal of food and cookery science
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    • v.30 no.4
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    • pp.412-418
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    • 2014
  • This study considered the selection attributes of bakery consumers and schematized characteristic attributes of being selected by customers by image through a correspondence analysis in terms of own preferring bakery. Self-administrated questionnaires were completed by consumers (452 samples), and the data were analysed by frequency, chi-square, one-way ANOVA, reliability analysis and correspondence analysis. According to the survey results regarding the mean value on bakery selection attributes, it was shown to be in the order of taste ($4.73{\pm}0.70$), sanitation ($4.70{\pm}0.68$), service ($4.21{\pm}0.84$), price ($4.03{\pm}0.92$), consideration ($4.01{\pm}0.96$), communication ($4.01{\pm}0.96$), health ($3.99{\pm}0.98$), and location ($3.83{\pm}0.99$). In the analysis of difference with regard to the selection attributes according to the preferred bakery, both consideration ($4.05{\pm}0.90$) and communication ($3.98{\pm}0.93$) showed a high value in individual bakery, thereby presenting a significant difference (p<0.05). As a result of having carried out correspondence analysis in order to prepare an image map according to the preferred bakery, the selection attributes of employees' service and communication showed the closest image map to individual bakery. Location and sanitation were very close to franchise bakery. Further, other bakery shops were schematized in a relatively close distance to price.

Fuzzy Entropy Construction based on Similarity Measure

  • Park, Hyun-Jeong;Yang, In-Suk;Ryu, Soo-Rok;Lee, Sang-Hyuk
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.257-261
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    • 2008
  • In this Paper we derived fuzzy entropy that is based on similarity measure. Similarity measure represents the degree of similarity between two informations, those informations characteristics are not important. First we construct similarity measure between two informations, and derived entropy functions with obtained similarity measure. Obtained entropy is verified with proof. With the help of one-to-one similarity is also obtained through distance measure, this similarity measure is also proved in our paper.

Decoupling of Background and Resonance Scatterings in Multichannel Quantum Defect Theory and Extraction of Dynamic Parameters from Lu-Fano Plot

  • Lee, Chun-Woo
    • Bulletin of the Korean Chemical Society
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    • v.30 no.4
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    • pp.891-896
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    • 2009
  • Giusti-Suzor and Fano introduced translations of the scales of Lu-Fano plots by phase renormalization in order to decouple the intra- and inter-channel couplings in multichannel quantum defect theory (MQDT). Their theory was further developed by others to deal with systems involving a larger number of channels. In different directions, MQDT was reformulated into forms with a one-to-one correspondence to those in Fano's configuration mixing theory of resonance for photofragmentation processes involving one closed and many open channels. In this study, the theory was further developed to fully reveal the coupling nature, decoupling of the background and resonance scattering in physical scattering matrices as well as to further extract the dynamic parameters undiscovered by Fano and his colleagues. This theory was applied to the photoabsorption spectrum of $H_2$ observed by Herzberg's group.

Determination of Object Position Using Robot Vision (로보트 비전을 이용한 대상물체의 위치 결정에 관한 연구)

  • Park, K.T.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.9
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    • pp.104-113
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    • 1996
  • In robot system, the robot manipulation needs the information of task and objects to be handled in possessing a variaty of positions and orientations. In the current industrial robot system, determining position and orientation of objects under industrial environments is one of major problems. In order to pick up an object, the roblt needs the information about the position and orientation of object, and between objects and gripper. When sensing is accomplished by pinhole model camera, the mathematical relationship between object points and their images is expressed in terms of perspective, i.e., central projection. In this paper, a new approach to determine the information of the supporting points related to position and orientation of the object using the robot vision system is developed and testified in experimental setup. The result will be useful for the industrial, agricultural, and autonomous robot.

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Semi-automatic Field Morphing : Polygon-based Vertex Selection and Adaptive Control Line Mapping

  • Kwak, No-Yoon
    • International Journal of Contents
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    • v.3 no.4
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    • pp.15-21
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    • 2007
  • Image morphing deals with the metamorphosis of one image into another. The field morphing depends on the manual work for most of the process, where a user has to designate the control lines. It takes time and requires skills to have fine quality results. It is an object of this paper to propose a method capable of realizing the semi-automation of field morphing using adaptive vertex correspondence based on image segmentation. The adaptive vertex correspondence process efficiently generates a pair of control lines by adaptively selecting reference partial contours based on the number of vertices that are included in the partial contour of the source morphing object and in the partial contour of the destination morphing object, in the pair of the partial contour designated by external control points through user input. The proposed method generates visually fluid morphs and warps with an easy-to-use interface. According to the proposed method, a user can shorten the time to set control lines and even an unskilled user can obtain natural morphing results as he or she designates a small number of external control points.

Robust Image Mosaic using Geometrical Feature Model (기하학적 특징 모델을 이용한 강건한 영상 모자이크 기법)

  • 김정훈;김대현;윤용인;최종수
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.13-16
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    • 2000
  • This paper presents a robust method to combine a collection of images with small fields of view to obtain an image with a large field of view. In the previous works, there are two main areas which one is a cross correlation-based method and the other is a feature-based method. The former is based on motion estimation from video sequences. so there are a problem on rotating a camera about optical axis. In the latter method, it is difficult to match correspondence feature points correctly.'re find correct correspondences, we proposed the geometrical feature model and correspondence filters and the Gaussian distribution weight function to blend the images smoothly. The experiments show that our method is robust and effective.

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Determination of Camera System Orientation and Translation in Cartesian Coordinate (직교 좌표에서 카메라 시스템의 방향과 위치 결정)

  • 이용중
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.109-114
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    • 2000
  • A new method for the determination of camera system rotation and translation from in 3-D space using recursive least square method is presented in this paper. With this method, the calculation of the equation is found by a linear algorithm. Where the equation are either given or be obtained by solving five or more point correspondences. Good results can be obtained in the presence if more than the eight point. A main advantage of this new method is that it decouple rotation and translation, and then reduces computation. With respect to error in the solution point number in the input image data, adding one more feature correspondence to required minimum number improves the solution accuracy drastically. However, further increase in the number of feature correspondence improve the solution accuracy only slowly. The algorithm proposed by this paper is used to make camera system rotation and translation easy to recognize even when camera system attached at end effecter of six degrees of freedom industrial robot manipulator are applied industrial field.

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MultiRing An Efficient Hardware Accelerator for Design Rule Checking (멀티링 설계규칙검사를 위한 효과적인 하드웨어 가속기)

  • 노길수;경종민
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.6
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    • pp.1040-1048
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    • 1987
  • We propose a hardware architecture called Multiring which is applicable for various geometrical operations on rectilinear objects such as design rule checking in VLSI layout and many image processing operations including noise suppression and coutour extraction. It has both a fast execution speed and extremely high flexibility. The whole architecture is mainly divided into four parts` I/O between host and Multiring, ring memory, linear processor array and instruction decoder. Data transmission between host and Multiring is bit serial thereby reducing the bandwidth requirement for teh channel and the number of external pins, while each row data in the bit map stored in ring memory is processed in the corresponding processor in full parallelism. Each processor is simultaneously configured by the instruction decoder/controller to perform one of the 16 basic instructions such as Boolean (AND, OR, NOT, and Copy), geometrical(Expand and Shrink), and I/O operations each ring cycle, which gives Multiring maximal flexibility in terms of design rule change or the instruction set enhancement. Correct functional behavior of Multiring was confirmed by successfully running a software simulator having one-to-one structural correspondence to the Multiring hardware.

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An Obstacle Detection and Avoidance Method for Mobile Robot Using a Stereo Camera Combined with a Laser Slit

  • Kim, Chul-Ho;Lee, Tai-Gun;Park, Sung-Kee;Kim, Jai-Hie
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.871-875
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    • 2003
  • To detect and avoid obstacles is one of the important tasks of mobile navigation. In a real environment, when a mobile robot encounters dynamic obstacles, it is required to simultaneously detect and avoid obstacles for its body safely. In previous vision system, mobile robot has used it as either a passive sensor or an active sensor. This paper proposes a new obstacle detection algorithm that uses a stereo camera as both a passive sensor and an active sensor. Our system estimates the distances from obstacles by both passive-correspondence and active-correspondence using laser slit. The system operates in three steps. First, a far-off obstacle is detected by the disparity from stereo correspondence. Next, a close obstacle is acquired from laser slit beam projected in the same stereo image. Finally, we implement obstacle avoidance algorithm, adopting the modified Dynamic Window Approach (DWA), by using the acquired the obstacle's distance.

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MATHEMATICAL ANALYSIS FOR A DYNAMIC CIPHER

  • JUNG YOON-TAE;CHOI EUN-HEE;RIM KWANG-CHEOL
    • The Pure and Applied Mathematics
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    • v.12 no.2 s.28
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    • pp.143-152
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    • 2005
  • We present a new block cipher called DyC. It consists of four sets (procedures) having the different $2^2,\;2^2,\;2^4$, and $2^8$ one-to-one correspondence functions as the elements. The round key is used to determine exactly one composite function from the possible $2^{16}$ composite functions. DyC supports 8 $\times$ n bit key size, 16 $\times$ m bit block length, and n rounds. We have confirmed that DyC offers security against other well-known advanced cryptanalytic attacks including the slide attacks and interpolation attacks. In this paper, we show several properties of the key schedule of DyC by mathematical analysis.

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