• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.241-244
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• 2004

Dimension and tolerance are very important factors both in a design stage and in a manufacturing stage. As a part of process planning, the tolerance transfer aims at determining the method for converting design dimensions and tolerances into manufacturing dimensions and tolerances based on a given drawing. A procedure for the tolerance transfer is proposed in this paper. Tolerance chart is a valuable graphical tool for a process planner to determine the manufacturing dimensions and tolerances, and consisted of several steps. Among several steps necessary for making up the tolerance chart, the methods for the identification of dimension chain, the determination of tolerances, and the calculation of operational dimensions are presented by using concepts and new presentation methods. A solution method for each step is derived which will be used to establish the tolerance transfer techniques.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.1022-1027
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• 1989

CAD drawings contain drawing errors similar to manually produced drawings. This paper is concerned with a computer-aided drawing check system for the drawing errors. The problem treated in this paper is the checking of dimension errors, deficiency and redundancy of dimension lines in the mechanical drawings made by a CAD system. Graph theory is used for the checking of the deficient and redundant dimensions. The feasibility of this system is confirmed for the checking items.

• Journal of Industrial Technology
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• v.5
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• pp.65-71
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• 1985

In case that the datums chosen for dimension on engineering drawings are unsuitable for manufacturing and inspecting and inspection purposes and it is necessary to redimension the design from new datum. L. E. Farmer presented a theory for performing this change of datum, discussed a procedure for allocating tolerances to new dimensions and presented the procedure of change of datum as part of a computer aided design system. This paper deals with the development of the interactive computer program which is insufficiently presented without all coding list of program by L. E. Farmer.

• Communications of the Korean Mathematical Society
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• v.38 no.2
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• pp.431-450
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• 2023

The basic goal of quantization for probability distribution is to reduce the number of values, which is typically uncountable, describing a probability distribution to some finite set and thus to make an approximation of a continuous probability distribution by a discrete distribution. It has broad application in signal processing and data compression. In this paper, first we define the uniform distributions on different curves such as a line segment, a circle, and the boundary of an equilateral triangle. Then, we give the exact formulas to determine the optimal sets of n-means and the nth quantization errors for different values of n with respect to the uniform distributions defined on the curves. In each case, we further calculate the quantization dimension and show that it is equal to the dimension of the object; and the quantization coefficient exists as a finite positive number. This supports the well-known result of Bucklew and Wise [2], which says that for a Borel probability measure P with non-vanishing absolutely continuous part the quantization coefficient exists as a finite positive number.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.1
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• pp.225-231
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• 2013

In this study, we propose the design of optimized pRBFNNs-based night vision face recognition system using PCA algorithm. It is difficalt to obtain images using CCD camera due to low brightness under surround condition without lighting. The quality of the images distorted by low illuminance is improved by using night vision camera and histogram equalization. Ada-Boost algorithm also is used for the detection of face image between face and non-face image area. The dimension of the obtained image data is reduced to low dimension using PCA method. Also we introduce the pRBFNNs as recognition module. The proposed pRBFNNs consists of three functional modules such as the condition part, the conclusion part, and the inference part. In the condition part of fuzzy rules, input space is partitioned by using Fuzzy C-Means clustering. In the conclusion part of rules, the connection weights of pRBFNNs is represented as three kinds of polynomials such as linear, quadratic, and modified quadratic. The essential design parameters of the networks are optimized by means of Differential Evolution.

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.285-292
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• 2008

Color histograms have been used as feature vectors to characterize the color features of given images, but they have a limitation in efficiency by generating high-dimensional feature vectors. In this paper, we present a method to reduce the dimension of the feature vectors by applying PCA (principal components analysis) to the color histogram of a given vehicle image. With SVM (support vector machine) method, the dimension-reduced feature vectors are used to recognize the colors of vehicles. After reducing the dimension of the feature vector by a factor of 32, the successful recognition rate is reduced only 1.42% compared to the case when we use original feature vectors. Moreover, the computation time for the color recognition is reduced by a factor of 31, so we could recognize the colors efficiently.

• Journal of the Korean Society of Fashion and Beauty
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• v.2 no.3 s.3
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• pp.60-67
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• 2004

Representing all the parts of human body visible to fit into the script, it can be told that real make-up has been done. Based on the point of view. it will be different from others. To become the beautiful, beauty make-up has to be done, however, to be someone described in the script or any other factions after analyzing characters of being represented, special make-up fits into that category. In the special make-up, there are two different pins: one is 2 dimension make-up which is describing images using dots, lines and colors and other is 3 dimension which will include necessary shapes to figure. Even though there seems to be different between modern technologies and handy work, since accurate measures and graphics have to be used to make perfect character describes in the script, more investments and studies than before have to be made. Real attraction of 3 dimension make-up is building up the images and shapes using unseen abstract images having analyzing characters. It will be decided in the working process called modeling. As having distinguished this part from other make-ups as named prosthetics make-up, proposing means and measures of prosthetics make-up will actually help the others who are studying make-up.

• Economic and Environmental Geology
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• v.55 no.3
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• pp.231-239
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• 2022

The irregular shape of the disturbances is a fundamental issue for mining engineers at the Sidi Chennane phosphate deposit in Morocco. A precise classification of disturbed areas is therefore necessary to understand their part in the overall volume of phosphate. In this paper, we investigate the theoretical and practical aspects of studying and measuring multifractal spectrums as a defining and representative parameter for distinguishing between the phosphate deposit of a low rate of disturbances and the deposit of a high rate. An empirical multifractal approach was used by analyzing the disturbed areas through the geoelectric images of an area located in the Sidi Chennane phosphate deposit. The Generalized fractal dimension, D(q), the Singularities of strength, α(q), the local dimension, f(α) and their conjugate parameter the mass exponent, τ(q) as well as f(α)-α spectrum were the common multifractal parameters used. The results reported show wide variations of the analyzed images, indicating that the multifractal analysis is an indicator for evaluate and characterize the disturbed areas within the phosphates deposits through the studied geoelectric images. This could be the starting point for future work aimed at improving phosphate exploration planning.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.4
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• pp.360-367
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• 2002

The machine-part group formation is to group the sets of parts having similar processing requirements into part families, and the sets of machines needed to process a particular part family into machine cells. The purpose of this study is to develop a two-phase machine-part group formation algorithm based on Self-Organizing Maps (SOM). In phase I, it forms machine cells from the machine-part incidence matrix by means of SOM whose output layer is one-dimension and the number of output nodes is the twice as many as the number of input nodes in order to spread out the input vectors. In phase II, it generates part families which are assigned to machine cells by means of machine ratio related with processing part and it gives machine-part group formation. The proposed algorithm performs remarkably well in comparison with many well-known algorithms for the machine-part group formation problems.

• Journal of Mechanical Science and Technology
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• v.17 no.2
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• pp.215-220
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• 2003

Trepan prevents the wear of the inside part of a bearing when the initial shaft rotates. It continuously contacts with the eccentric part of the shaft in rotation and is loaded repeatedly. Therefore, even if an early crack of a trepan part is small, the crack may progress by the repeated load. If the crack progresses, very small chips come out. This Is put in the rotor and prevents the rotation of the compressor, There can be leaks in a microgroove and extreme wear can occur due to lack of oil on the surface contact part. Therefore, this study was carried out to compare and investigate the trepan strength and deflection characteristics between trepan locations and dimension changes using the finite element method and search a motor bearing for a model with bigger stiffness of a trepan part and the same deflection.