• Clinical and Experimental Reproductive Medicine
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• v.22 no.2
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• pp.109-122
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• 1995

A technique is described for producing high resolution G- and R-banded chromosomes in human peripheral lymphocyte cultures. Cultured lymphocyte cells were exposed to ethidium bromide ($10{\mu}g/ml$) and colcemid ($0.02{\mu}g/ml$) each for 2.5h and 0.5h prior to harvest for high resolution G-banded chromosomes. High resolution R-band patterns were obtained by BrdU substitution which was revealed by the fluorochrome-photolysis-Giemsa staining technique. These methods are easy to perform and highly reliable. The data on relative length of chromosomes at the four mitotic stages are presented in units of percentage of haploid autosome length. The characteristic patterns of GTG-bands (G-bands after trypsin and Giemsa) and RBG bands (R-bands after BrdU and Giemsa) were analyzed.

• Journal of the Optical Society of Korea
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• v.15 no.1
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• pp.103-108
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• 2011

Recently reported asynchronous-optical-sampling terahertz (THz) time-domain spectroscopy enables high-resolution spectroscopy due to a long time-delay window. However, a long-lasting tail signal following the main pulse is often measured in a time-domain waveform, resulting in spectral fluctuation above a background noise level on a high-resolution THz amplitude spectrum. Here, we adopt the wavelet power spectrum estimation technique (WPSET) to effectively remove the spectral fluctuation without sacrificing spectral features. Effectiveness of the WPSET is verified by investigating a transmission spectrum of water vapor.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.1
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• pp.1-7
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• 2011

In the bomb impact test, to acquire the bomb impact point location the high-priced embedded equipments such as the Bomb Scoring System or the EOTS are needed. Recently, a high-resolution image processing could be possible since the resolution of the commercial camera is growing rapidly. In this paper we first propose an image transformation method for acquiring the real bomb impact image using a high-resolution commercial camera, and then present the process calculating the real bomb impact point location coordinate from the transformed image. Based on the experimental results we found the possibilities that the real bomb impact point information could be effectively earned just using the commercial camera.

• Journal of the Korean Orthopaedic Association
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• v.54 no.5
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• pp.469-473
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• 2019

Medial knee joint pain is a common problem in the field of orthopedics. In these patients, a high resolution ultrasound examination can reveal medial collateral ligament (MCL) bursitis, meniscal cyst, degeneration changes to the MCL and meniscal protrusion etc. Prolotherapy is effective in these patients. The author performed prolotherapy for MCL bursitis of the knee joint, and confirmed the disappearance of the bursitis using high resolution ultrasound.

• Journal of Veterinary Clinics
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• v.40 no.3
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• pp.221-224
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• 2023

A two-year-old spayed female Maltipoo dog was presented with a two-month duration of glaucoma in the right eye. On the first presentation, menace response and dazzle reflex were absent in the right eye, but it was present in the left eye. Slit-lamp biomicroscopy showed buphthalmia, mild corneal edema, and conjunctival and episcleral hyperemia in the right eye. The intraocular pressures were 70 mmHg and 30 mmHg in the right and left eyes, respectively. On the gonioscopic and high-resolution ultrasound examinations, both the iridocorneal angle and ciliary cleft were completely closed in the right eye. However, gonioscopy revealed an opened iridocorneal angle even with some broader base of pectinate ligament fiber, but high-resolution ultrasound showed a narrowed ciliary cleft and increased contact of the iris base with the limbal cornea in the left eye. Based on these results, a diagnosis of primary angle-closure glaucoma was made in both eyes. This case report highlighted the importance of evaluating the ciliary cleft with high-resolution ultrasound as a critical diagnostic and prognostic role in canine glaucoma.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.2109-2123
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• 2017

This paper presents a super-resolution reconstruction method based on sparse representation for two-dimensional bar code images. Considering the features of two-dimensional bar code images, Kirsch and LBP (local binary pattern) operators are used to extract the edge gradient and texture features. Feature extraction is constituted based on these two features and additional two second-order derivatives. By joint dictionary learning of the low-resolution and high-resolution image patch pairs, the sparse representation of corresponding patches is the same. In addition, the global constraint is exerted on the initial estimation of high-resolution image which makes the reconstructed result closer to the real one. The experimental results demonstrate the effectiveness of the proposed algorithm for two-dimensional bar code images by comparing with other reconstruction algorithms.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.35-37
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• 2007

Super resolution using stochastic approach which based on the Bayesian approach is to easy modeling for a priori knowledge. Generally, the Bayesian estimation is used when the posterior probability density function of the original image can be established. In this paper, we introduced the improved MAP algorithm based on Bayesian which is stochastic approach in spatial domain. And we presented the observation model between the HR images and LR images applied with MAP reconstruction method which is one of the major in the SR grid construction. Its test results, which are operation speed, chip size and output high resolution image Quality. are significantly improved.

• Journal of Korea Multimedia Society
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• v.21 no.12
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• pp.1467-1472
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• 2018

For the problem that the face image of surveillance video cannot be accurately identified due to the low resolution, this paper proposes a low resolution face recognition solution based on convolutional neural network model. Convolutional Neural Networks (CNN) model for multi-scale input The CNN model for multi-scale input is an improvement over the existing "two-step method" in which low-resolution images are up-sampled using a simple bi-cubic interpolation method. Then, the up sampled image and the high-resolution image are mixed as a model training sample. The CNN model learns the common feature space of the high- and low-resolution images, and then measures the feature similarity through the cosine distance. Finally, the recognition result is given. The experiments on the CMU PIE and Extended Yale B datasets show that the accuracy of the model is better than other comparison methods. Compared with the CMDA_BGE algorithm with the highest recognition rate, the accuracy rate is 2.5%~9.9%.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.9 no.6
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• pp.1-12
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• 2006

Remote sensing cannot provide a direct measurement of vegetation index (VI) but it can provide a reasonably good estimate of vegetation index, defined as the ratio of satellite bands. The monitoring of vegetation in nearby urban regions is made difficult by the low spatial resolution and temporal resolution image captures. In this study, enhancing spatial resolution method is adapted as to improve a low spatial resolution. Recent studies have successfully estimated normalized difference vegetation index (NDVI) using improved resolution method such as from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard EOS Terra satellite. Image enhancing spatial resolution is an important tool in remote sensing, as many Earth observation satellites provide both high-resolution and low-resolution multi-spectral images. Examples of enhancement of a MODIS multi-spectral image and a MODIS NDVI image of Cheongju using a Landsat TM high-resolution multi-spectral image are presented. The results are compared with that of the IHS technique is presented for enhancing spatial resolution of multi-spectral bands using a higher resolution data set. To provide a continuous monitoring capability for NDVI, in situ measurements of NDVI from paddy field was carried out in 2004 for comparison with remotely sensed MODIS data. We compare and discuss NDVI estimates from MODIS sensors and in-situ spectroradiometer data over Ochang plain region. These results indicate that the MODIS NDVI is underestimated by approximately 50%.

• Journal of IKEEE
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• v.22 no.2
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• pp.514-517
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• 2018

In sensor systems, ADC (analog-to-digital converter) demands high resolution, low power consumption, and high signal bandwidth. Sigma-delta ADC achieves high resolution by high order structure and high over-sampling ratio, but it suffers from high power consumption and low signal bandwidth. SAR (successive-approximation-register) ADC achieves low power consumption, but there is a limitation to achieve high resolution due to process mismatch. This paper surveys architecture improvement of ADC to overcome these problems.