• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.381-384
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• 2006

In this paper, we have proposed an independent component analysis (ICA) technique and a median method based on GBD algorithm which classifies images. The proposed method can measure the distance between images, while it does not lose a portion of the image that changes rapidly. Our simulation results show that it not possible for ICA to recognize the relative discernment between images when K is 7. However, with the median method, it can be possible to such a recognition.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2001.04a
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• pp.34-39
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• 2001

The median barrier is one of the roadside hardware to prevent severe human and property damage from highway traffic accidents. The foreign standard of concrete median barrier was introduced and implemented without modification fitting to domestic vehicle and highway condition. In a car accident, median barrier doesn't protect vehicle effectively, especially for heavy vehicle such as bus and heavy truck. The purpose of this study is to develop the optimal performance design of concrete median barrier using the design of experiment with crash simulation analysis which is done by Pam-Crash that is one of the commercial crash simulation software. As a result of this study, an optimal design of concrete median barrier is obtained considering von Mises stress, volume and COG acceleration of truck.

• The Journal of Engineering Research
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• v.3 no.1
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• pp.57-64
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• 1998

This paper presents an architecture of a real-time two-dimensional median filter. The architecture has appropriate characteristics for the VLSI implementation such as small memory requirements, regular computations, and local data transfers. For the efficient two-dimensional median filter, a separable two-dimensional median filtering structure and a bit-sliced pipelined median searching algorithm are used. A behavioral simulator is implemented with C language and used for the analysis of the presented architecture.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.467-468
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• 1998

Impulsive noise appears as black and/or white spots in an image. It is usually caused by errors during the image acquisition or transmission through communication channels. This paper presents a study on the impulsive noise reduction filter of digital image. A much more effective method for removing impulse noise is weighted median filtering. But it loses some information by changing center value with no condition. We propose some new technique to change center value with some conditions. In this paper, the performance of conditional weighted median filter is compared to the commonly used median filter, mean filter, max/min filter, and weighted median filter. A quantitative comparison is performed on MSE (Mean Square Error), RMSE (Root Mean Square Error), and SNR (Signal to Noise Ratio). Proposed conditional weighted median filter can yield better performance than regular filters.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.2
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• pp.104-115
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• 2005

Median filters in the signal processing have been most widely used and have demonstrated the strongest effects. This paper proposes the adaptive median filters with noise detection. The proposed basic algorithm of the filters is to judge whether or not the noises exist on the ground of The Noise Judgment Standards. Just in case the existence of the noises is verified by the algorithm, it takes the median filter. In order to judge the existence of the noises by the algorithm, this paper introduced the noise detection method by local central variance. As a result of comparing and analyzing the features and performance of the proposed filters and the existing [5]-[10] filters on the same conditions, it was verified that the former proved to be better than the latter, Observed even by naked eyes, it was similar, too. Accordingly, it's proved that the adaptive median filters by local central variance are useful in removing the impulse noise of the median filter and reinforce the edge preservation ability.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2002.10a
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• pp.487-492
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• 2002

In this study, designs of protection fences such as the concrete median barrier and the guardrail were performed. The foreign standard of concrete median barrier was introduced and implemented without modification fitting to domestic vehicles and highway conditions. In a car accident, median barrier doesn't protect vehicles effectively, especially for heavy vehicles such as bus and heavy truck. Guardrail doesn't protect vehicle effectively, either. The purpose of this study is to develop the optimal performance design of concrete median barrier and design of guardrail using the design of experiment as well as crashworthiness analysis which is done by Pam-Crash. As a result of this study, an optimal design of concrete median barrier was obtained considering von Mises stress, volume and COG acceleration of truck. And design of guardrail satisfying the domestic requirements was obtained.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2830-2837
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• 1999

Image processing steps are consist of image acquisition, preprocessing, region, segmentation and recognition. But image corrupted commonly by noise reduction methods, many filters were proposed like mean filter, median filter, weighted median filter, Cheikh filter, and Kyu-cheol lee filter as spatial noise reduction filtering. We propose a new edge detection algorithm so that we find out edge existence and nonexistence. In non-edge area, we selectively apply weighted median filter based upon using information of difference value between weighted median filter's value and center pixel's value. As a result, we finally prove a better performance of noise reduction by applying adaptive weighted median filter and improvement of processing time through using simple algorithm.

• Archives of Plastic Surgery
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• v.37 no.5
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• pp.676-680
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• 2010

Purpose: Median nerve entrapment syndrome within carpal tunnel is usually called carpal tunnel syndrome and it is the most common form of peripheral nerve entrapment syndrome. Many factors such as diabetes mellitus, hypothyroidism, hormonal replacement theraphy, corticosteroid use, rhematoid arthritis and wrist fractures may cause carpal tunnel syndrome. To the best of our knowledge, this is the first case report of median nerve entrapment syndrome due to adhesion of laceration wound after suicidal attempt. Methods: A 28-year-old woman presented with a sensory change and thenar hypotrophy on her left hand. On her history, she attempted suicide by slashing her wrist. Initial electromyography (EMG) showed that the nerve conduction velocities of median nerve was delayed. Therefore, we performed surgical procedures. When exploration, Fibrous scar tissue observed around the median nerve but nerve had not been injured. Transcarpal ligament was completely released and adjacent fibrous tissue was removed to decompress the median nerve. Results: The postoperative course was uneventful until the first year. Opposition difficulty and thenar hypotrophy were improved progressively after the surgery. Sensory abnormality was slowly improved over one year. Conclusion: We report a case of median nerve entrapment syndrome that was caused by adhesion of laceration wound after suicidal attempt. This is an unusual cause of median nerve entrapment syndrome, the symptoms were relieved after transcarpal ligament release and fibrous scar tissue removal.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.285-294
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• 2004

Median Filters in the Signal Processing have been most widely used and have demonstrated the most strongest effects. This paper proposes the Adaptive Median Filters by using noise detection. The basic algorithm of the proposed filters is to determine whether noise or not by the each noise judgement standards, and then take the Median Filter if it satisfies the conditions as a result of judgement and returns to the original image(No Filters) if not. This paper presented Noise Detection by Local Variance and Local Central Variance for noise judgement, compared and analyzed the features and performance of existing [5]∼[10] Filters. Filter improved on the result of executing the existing filters at the same condition and showed the effects over that when it was judged with naked eyes. Accordingly, the Adaptive Median Filters by Local Variance and Local Central Variance was proven to have reinforced edge preservation ability and have the strong features for removing the Impulse Noise of the Median Filter.

• Journal of the Korea institute for structural maintenance and inspection
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• v.22 no.1
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• pp.23-31
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• 2018

Recently, there was an collision accident of vehicle-concrete median barrier and unfortunately, passengers were killed by exceeded capacity of concrete median. Therefore, improving the capacity of concrete median barrier is need to reduce damage. Accordingly, in this study, appropriate collision model verified by using the FE analysis program LS-Dyna and recommend a concrete median barrier section. The improvement parameters such as wire mesh diameter, steel plate, rubber pad were selected for improved capacity of the median barrier. Finally, section of concrete median barrier improved wire mesh diameter decreased volume loss, section of concrete median barrier improved rubber pad accepted impact loading and increased elastic area.