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李泰鴻 嶺南大學校 工業技術硏究所 1988 연구보고 Vol.16 No.1
Before we process the procedure to recognize the printed characters, it is necessary to preprocess their images obtained by the optical systems. Non-ideal point spread function of the optical systems blurs their images. Deblurring the character images in the spatial domain can be processed using the van Cittert recursive method. Psf, in general, involves the negative portions whose repeated applying reverses the phase each time. The phase reversal causes oscillations in th deblurred images. This can be corrected by deblurring 2nd times for each recursion, which reverses the phase 180°once more to become 0° phase. This phase corrected van Cittert algorithm in the spatial domain makes it possible to simplify the method and to reduce the processing time compared with that of the frequency domain process.
Development of a Theoretical Model to Predict Cutting Forces for Hard Machining
이태홍 한국정밀공학회 2011 International Journal of Precision Engineering and Vol. No.
In this study, a theoretical model was developed to predict cutting forces for machining hard materials that contain more than 0.58% carbon. The model is based on the Oxley machining theory, and it uses the Johnson-Cook empirical constitutive law for the flow stress data or the equation of a hard material and the tool geometric parameter, the nose radius. However,Oxley and his co-workers showed that the flow stress data obtained from high-speed compression tests for a range of only plain carbon steels (less than 0.58% carbon) is suitable for making analytical machining predictions assuming a perfectly sharp tool. In this study, an experiment was carried out to obtain the flow stress in the Johnson-Cook law and the geometry of the tool was simplified to obtain the nose radius. The cutting forces from the developed theoretical model were found to be in good agreement with those measured from an experiment of hard machining with an AISI 4140 steel heat-treated bar.
Steepest-Descent방법에 의한 정칙화 반복 복원
홍성용,이태홍 嶺南大學校 工業技術硏究所 1994 工業技術硏究所論文集 Vol.22 No.1
We studied on the regularized iterative image restoration method based on the method of Steepest-Descent for restoring the noisy blurred images. Conventional regularized iterative method proposed by Jan Biemond et al. determined the value of regularization parameter experimentally from the degraded image to be restored. But proposed method estimated and applied it in each pixels of the restored images. As a results, it was possible to suppress the noise amplification and ringing effects. After 30 times iterative restoration, we got MSE equal to 183 compared with the result proposed by Jan Biemond et al. of which MSE is equal to 216.
李泰鴻 嶺南大學校 工業技術硏究所 1986 연구보고 Vol.14 No.1
The poles appear to be the peaks in the frequency spectrum characteristics diagram. For the poles that are placed nearby with each other, the peakes become mingled together to make one peak as a whole. Sometimes we need to know the frequency of a pole to set up the system configuration. By adjusting the radius of circle that counts for the frequency response of the system, we can separate the mingled peak frequency on the z-plane.
건전지 운용 microcomputer장치의 전력 절약의 一方案
李泰鴻 嶺南大學校 工業技術硏究所 1982 연구보고 Vol.10 No.1
This paper provides a uesful method for cutting down the power consumption in the non-CMOS microcomputer system operated with dry cell batteries. Usual hand-held type microcomputer system have their keyboards for data entry and the processing time for key entry is very longer than that of main processing. If the unnecessary power consumption for the time intervals between each key entry is eliminated, most of the power from batteries can be used for processing main program, which will extend the life of the batteries in the result. In this paper, comparison is made between the power consumption of the usual system and that of switching system. And it is examined how the life of the dry cell batteries varies with the duty cycle of switching.
선형 Filter와 비선형 Filter 조합에 의한 화상복원
李泰鴻 嶺南大學校 工業技術硏究所 1986 연구보고 Vol.14 No.1
In the image restoration, the smoothing filter to reduce the effect of white Gaussian noise can be used. For the image of lower noise it acts well. But for the higher noise iterative smoothing is needed. Each time an iteration is processed, some area shows better result, while the others worse. Linear filter usually blurrs the edge portion, but it shows better effect for the flat plateau or back ground. Nonlinear filter shows excellent effect for preserving edges. Severe noise makes the both filters helpless. Iteration is needed in that case. The iterated linear filter makes the edge blurred excessively, while the iterated nonlinear filter makes streaks in line because of the propagated error. Combinations of both types of filter will have superior performance to that of filter used separately.
휘발성 데이타 메모리의 불휘발성 프로그램 메모리化에 관한 一方案
李泰鴻 嶺南大學校 工業技術硏究所 1982 연구보고 Vol.10 No.2
A simple and general purposed nonvolatile read-write-memory system applicable to any circuit in place of EAROM, which is very complicated and difficult to use because of its diverse voltages, timing and control signals, is suggested in this paper. Using CMOS RAM and rechargeable battery back up, we can modify easily the data table or even the program memory in circuit without extracting memory devices. It is convenient for the equipments containing time variant parameters or data in its program. It is also examined how long the data can be retained when the back up supply recharged for once. Since this system recharges the back up supply whenever the main voltage source is used, the retention of data is almost everlasting.
이태홍 嶺南大學校 工業技術硏究所 1992 연구보고 Vol.20 No.1
An iterative image restoration is introduced that processes with varying iteration numbers according to the variance of the neighborhood pixels. In general the other method is applied to the whole image without considering the local pixel informations, which is not so effective for the processing time. So in this paper we process local iterative restoration method which iterates many times on detailed portion while in the flat region the iteration decreases. Local iteration method can use any iteration method because it varies in the iteration numbers only. not convergence, which shows decreased processing time.