• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.5
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• pp.42-47
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• 1998

Bridcage RF coil is one of the most widely used RF coils in MRI. In order to use birdcage RF coils in open MRI systems, an open tructured birdcage RF coil has been investigated. By opening the ring structure of an original birdcage RF coil and driving the coil at two opening ends, the original birdcage RF coil can be modified to an open structured coil. In order to improve magnetic field uniformity of the open birdcage RF coil, driving voltage phases at the two opening ends can be controlled to be in-phase or out-of-phase each other. Operating frequency of the open birdcage RF coil has been theoretically derived, and the theoretical derivation has been verified by experiments.

• Journal of Advanced Navigation Technology
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• v.21 no.3
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• pp.300-305
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• 2017

It is necessary to establish a system suitable for the driving vehicle so that it can effectively search for and modify various data anywhere and anytime by effectively linking communication with the computer system in the running vehicle and to control the equipment properly for smooth operation on a limited platform do. Also, vehicle CAN communication is used to extract system engine information, and data is transmitted using ZigBee for this information transmission. Therefore, OBD-II protocol, which is provided by the vehicle itself, is used for vehicle CAN to obtain vehicle status information and exhaust gas using various sensor information of the vehicle and O2 sensor value, and transmits it to the ZigBee main control system. In this study, we implemented a system that can reduce the battery load damage to the maximum by reducing the power consumption to the maximum, and to monitor the internal state of the vehicle through ZigBee communication with the embedded system for low power vehicles.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.7
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• pp.89-101
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• 1997

A technical method of noise modeling and adaptive filtering reducing of speckle noise in ultrasonic medical images is presented. By adjusting the characteristics of the filer according to local statistics around each pixel of the image as moving windowing, it is possible to suppress noise sufficiently while preserve edge and other significant information required in diagnosis. Homogeneous factor(HF) from the noise models that enables the filter to recognize the local structures of the image is introduced, and an algorithm for determining the HF fitted to the diagnostic systems with various inner statistical properties is proposed. We show by the experimented that the performance of proposed method is superior to these of other filters and models in preserving small details and suppressing the noise at homogeneous region.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.12
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• pp.1925-1932
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• 1990

In this paper, we consider the effect of diffraction due to the finite-sized aperture and propose the new correction method of errors in measurements of attenuation coefficient owing to the diffraction effect. In the existing correction method, we obtained the attenuation coefficient after correct the spectrum at each depth. However, this paper obtain the attenuation coefficient using lg-spectral difference approach and then correct errors. As a proposed method is not correction for the spectrum at each depth but the difference spectrum, we reduce the calculation. Also the correction is performed through the total frequency range, the accurate attenuation coefficient in whole bandwidth is produced.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.12
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• pp.1916-1924
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• 1990

In this paper attenuation effect on the measurement and the tomography of nonlinear parameter is discussed. We perform computer simulation with the method using harmonic components and the method using secondary wave components, and then estimate attenuation effect through the results and compare two measurement techniques. According to simulation result the attenuation effect is more intensive as large n and \ulcorner, and the degree of the attenuation effect is represented as error functions. In the aspect of measuremnet techniques, the method using secondary wave components is more insensitive to attenuation effect than the method using harmonic compnents. We obtain the same result in the nonlinear tomography, and show that the attenuation compensive filter is required because the whole tomogram is affected by frequency dependent attenuation(or nonlinear attenuation)

• Journal of the Korean Institute of Telematics and Electronics
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• v.23 no.5
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• pp.658-665
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• 1986

In this paper, we study a (condition interprete systdem CCIS) which is a general purpose inference system for building an expert system. Previously, most expert systems used fragmentary knowledge-representation and inexact inferencing methods. To solve the proboems of those systems we suggest an algorithm for more flexible deduction and a method of representing knowledge more naturally and consistently compared to those of other experst systems. The CIS is a systsdem which can infer all the current situations from communication with the user based on user discription of some situation. we used some medical data on hypertension and its complication to simulate the system and to prove the effectiveness of the system. The results show that with the proposed method one can realize an attractive expert system.

• Journal of the Korean Institute of Telematics and Electronics
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• v.22 no.2
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• pp.55-59
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• 1985

The measurement of the silent period of Masseter muscle is very useful diagnostic method of TMJ syndrome. In this paper, we design a very convenient and very low-priced medical instrument for dental research which does not need gain control to each patient for measuring the silent period and the data processing time is very short. The result of SP measurement using this instrument is 20-30ms in normal subjects and about 60ms in TMJ patient, and the data processing time is 0.5 second.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.36T no.4
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• pp.9-16
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• 1999

We suggest the image recognition algorithm for automatic decision of EUT malfunction using computer vision in the radiant electromagnetic field. We monitor and analyze the EUT malfunction through the numerical value change of electro-measurement and medical instruments, or the image distortion of PC monitor. We could decide EUT malfunction by comparing the object image in the electromagnetic field with the reference image or by recognizing the numerical value change on the video camera monitor. We can show the evidence of EUT malfunction decision and reduce the possibility of malfunction in the tolerance test.

• Journal of the Korean Institute of Telematics and Electronics
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• v.21 no.6
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• pp.1-6
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• 1984

This paper describes that the compensation of frequency dependent attenuation (F.D.A.) and faithful envelope detection using the analytic signal magnitude (A.S.M.) improve the range resolut ion in an acoustic medium. It is shown that a mean of computing the magnitude of. analytic signal is better than that of conventional A-mode. In addition, this proposed method is much easier than the above methods to detect two closely spaced interfaces on the A-mode. As the result of experiment, we obtained range resolution of 0.5 mm with transducer of 3.5 MHz. This method can be applied to medical experiment, diagonostic and nondestructive testing.

• Journal of the Korean Institute of Telematics and Electronics
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• v.12 no.1
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• pp.1-6
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• 1975

The boundary has been one of the most important information in radiographic images and the degrees of difficulty involved varies greatly with the quality of the picture. These Buantifications are the means to diagnoses. The purpose of this paper is to quantify intensity variation and the threshold decision which is based on statistical principles and is developed to detect limits in liver scintigrams the entire picture is devide4 into 64 small regions. The kurtosis and variances for each smal region are used as indications to select the histograms the thresholds are computed according to the method o(maximum likelihood which minimizes the probability o( misclassification. Therefore Ive have demonstrated the applicability of the boundary detection and proved good agreement with human recognition, and we can use it for the diagnosis data of liver disease.