• The Journal of Internal Korean Medicine
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• v.38 no.5
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• pp.650-657
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• 2017

Objective: This study was performed to report the effect of traditional Korean medicine as a treatment for laryngopharyngeal reflux (LPR) combined with depressive and anxiety disorder. Methods: We treated this patient with traditional Korean medicine and measured symptom severity using the reflux symptom index (RSI), Beck depression inventory (BDI), and Beck anxiety inventory (BAI). Results: After 3 weeks of treatment, most symptoms had decreased. The RSI score dropped from 21 to 8, BDI from 27 to 14, and BAI from 29 to 15. Conclusions: Traditional Korean medicine may be effective as a treatment for LPR combined with depressive and anxiety disorder, and a correlation may exist between LPR and psychological factors. However, more rigorous studies are required to identify exactly what treatment is most efficient for relieving LPR combined with depressive and anxiety disorder and whether LPR and psychological factors are clearly correlated.

• Journal of Korea Multimedia Society
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• v.18 no.10
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• pp.1172-1179
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• 2015

A wireless license plate region extracting module is proposed for LPR system controlling multiple gates. This module is cheaply implemented using Raspberry Pi which is open source and high performance. First, as the upper 1/3 of the captured image is discarded as it has no useful information on license plate. Using the OpenCV libraries the edge image is got by Canny algorithm after applying Gaussian filtering to gray image, and the labeling is conducted for 4 consecutive numbers in license plate. These numbers are located using various decision equations, and expanding the numbers region the final license plate region can be extracted. The result image is transferred to Server using wifi direct. Using the proposed module it becomes easy to set up and maintain the LPR system. The experimental results showed that the successful extracting rate was 98.4% using 500 car images with 640 × 480 resolution.

• Korean Journal of Bronchoesophagology
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• v.16 no.2
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• pp.83-90
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• 2010

The pathophysiology of Gastroesophageal reflux disease (GERD) has been known that it is developed when the offense-primarily the gastric acid-pepsin content of the refluxate-overcomes a 3-tiered esophageal protective defense. consisting of antireflux mechanisms, luminal clearance mechanisms, and tissue resistance. Laryngopharyngeal reflux (LPR), which is known as an extraesophageal variant of GERD, has been considered to be developed by transient lower esophageal sphincter relaxation (TLESR), direct mucosal injury by gastric contents, more sensitive mucosa compared to esophagus, and absence of buffering effect and aggravation of the injury due to pepsin. However, hypothesis of the pathophysiology in both entities are numerous and still lack of understanding for being a theory. There is no conflict that understanding the pathophysiology is necessary for resolving the problems of these diseases and numerous studies and results have been releasing. This review could provide clinicians dealing with GERD and LPR with applicable new information and help for overcoming the clinical obstruction.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.19-28
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• 2020

Vehicle license plate recognition system is not generalized in Malaysia due to the loose character layout rule and the varying number of characters as well as the mixed capital English characters and italic English words. Because the italic English word is hard to segmentation, a separate method is required to recognize in Malaysian license plate. In this paper, we propose a mixed character level and word level English license plate recognition algorithm using deep learning neural networks. The difference of Gaussian method is used to segment character and word by generating a black and white image with emphasized character strokes and separated touching characters. The proposed deep learning neural networks are implemented on the LPR system at the gate of a building in Kuala-Lumpur for the collection of database and the evaluation of algorithm performance. The evaluation results show that the proposed Malaysian English LPR can be used in commercial market with 98.01% accuracy.

• Korean Journal of Bronchoesophagology
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• v.10 no.2
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• pp.35-42
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• 2004

Background and objective : Rabeprazole is a new generation proton pump inhibitor, which has a rapid onset after first dose, predictable efficacy in all patients regardless of CYP2C19 genotype status, and less nocturnal acid breakthrough. The aim of the study is to investigate clinical efficacy and safety of rabeprazole sodium (Pariet 10mg qd)when administered once daily to patients with laryngopharyngeal reflux(LPR) disease. Methods : Among the patients who had visited the Department of Otolaryngology, those with LPR symptoms, had undergone laryngoscopy. Symptoms and endoscopic laryngeal sings were recorded initially, at 1 month, 2 months, 3 months, and more than 3 months, All patients were evaluated for clinical efficacy on the basis of symptom scores, reflux finding score(RFS), and side effects. Results : In general, most symptom scores and RFS improved over the time. Efficacy of the Pariet on LPR-related symptoms were $63.2\%,\;77.5\%,\;78.7\%,\;and\;90.9\%$ before 4 weeks, 4 to 8 weeks, 8 to 12 weeks, and after 12 weeks respectively. Efficacy on the RFS were $61.8\%,\;78.4\%,\;82.9\%,\;and\;85.5\%$ before 4 weeks, 4 to 8 weeks, 8 to 12 weeks, and after 12 weeks respectively. Pariet was well tolerated and was associated with few drug-related side effects. Conclusion Because of its efficacy and safety, Pariet may prove to be an alternative to currently available proton pump inhibitors.

• IEIE Transactions on Smart Processing and Computing
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• v.1 no.1
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• pp.17-26
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• 2012

This paper presents an image processing-based validation method for unrecognizable numbers in severely distorted license plate images which have been degraded by various factors including low-resolution, low light-level, geometric distortion, and periodic noise. Existing vehicle license plate recognition (LPR) methods assume that most of the image degradation factors have been removed before performing the recognition of printed numbers and letters. If this is not the case, conventional LPR becomes impossible. The proposed method adopts a novel approach where a set of reference number images are intentionally degraded using the same factors estimated from the input image. After a series of image processing steps, including geometric transformation, super-resolution, and filtering, a comparison using cross-correlation between the intentionally degraded reference and the input images can provide a successful identification of the visually unrecognizable numbers. The proposed method makes it possible to validate numbers in a license plate image taken under low light-level conditions. In the experiment, using an extended set of test images that are unrecognizable to human vision, the proposed method provides a successful recognition rate of over 95%, whereas most existing LPR methods fail due to the severe distortion.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.2
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• pp.143-148
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• 2014

Particle filter algorithm has been proven very successful for non-linear and non-Gaussian estimation problem and thus it has been widely used for object tracking for video signals. If the object moves significantly, particle filter needs very large number of particles to track object and this results high computational cost. In this paper, modified particle filter by adopting motion vector is proposed for tracking vehicle in low frame rate(LPR) video input, which the object moving significantly and randomly between consecutive frames. In the proposed algorithm, motion vector is applied in selection and observe step. The experimental result shows that the proposed particle filter can track vehicle successfully in the case when previous one fails. And it also shows the propose method increases the precision of tracking.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.19 no.2
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• pp.136-141
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• 2008

Background and Objectives: Laryngopharyngeal reflux (LPR) is a very common disease among outpatients of department of otorhinolaryngology. Although there are several diagnostic tools for LPR disease and ambulatory 24-hour double-probe pH monitoring is gold standard method, empirical diagnosis by reflux symptom index and reflux finding score (RFS) are mainly used. So we analyzed the relationship between ambulatory 24-hour double-probe pH monitoring and RFS in patients with LPR. Subjective and Method: Fifty patients with LPR symptoms and abnormal RFS and ambulatory 24-hour double probe monitoring were enrolled. Each items and sum of laryngeal reflux score were compared the results of ambulatory 24-hour double-probe pH monitoring in upper (UES) and lower (LES) esophageal sphincter. Results: There were no significant correlation between the results of ambulatory 24-hour double-probe pH monitoring in UES (pH<4 and pH<5) and each item and sum of RFS. However, supine time and reflux number of UES (pH<5) were showed the partial correlations with diffuse laryngeal edema and thick endolaryngeal mucus (p=0.03, p=0.01). Although there were no relationship between the results of ambulatory 24-hour double-probe pH monitoring in LES and sum of RFS, the significant correlations presented between granuloma and total time (p=0.008), upright time (p=0.008, reflux number (p=0.049) of LES. Conclusion: Although granuloma among items of RFS showed significantly correlation with the results of ambulatory 24-hour double-probe pH monitoring in LES, there were no significant correlation between the results of ambulatory 24-hour double-probe pH monitoring in UES and LES and items and sum of RFS.

• Proceedings of the KSLP Conference
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• 1998.11a
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• pp.200-200
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• 1998

인후두위산역류증(Laryngopharyngeal reflux : LPR) 관련 증상을 가지고 있는 환자들을 대상으로 시사프리드(10mg tid, 8주간)의 단독 투여만으로의 중상 개선 유효율을 19개 병원에서 관찰하였으며(CIS-KOR 051), 4개 병원에서는 시사프리드(10mg tid, 8주간)와 라니티딘(150mg bid, 8주간)을 무작위 번호에 의하여 투여하고 증상 개선 유효율을 조사하였다. 주관연구책임자에 의하여 19명의 피검자를 대상으로 24시간 이중탐침 산도검사를 실시하였다. (중략)

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1209-1214
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• 2016

LPR(License plate recognition) is a kind of the most popular surveillance technology based on accompanied by a video and video within the optical character recognition. LPR need a many process. One is a localization of car license plates, license plate of size, space, contrast, normalized to adjust the brightness, another is character division for recognize the character optical character recognition to win the individual characters, character recognition, the other is phrase analysis of the shape, size, position by year, the procedure for the analysis by comparing the database of license plate having a difference by region. In this paper, describing the results of performance of license plate recognition S/W, which was implemented using EmguCV, find the location, using the tesseract OCR, which are well known to an optical character recognition engine of open source, the characters of the license plate image capturing angle of the plate, image size, brightness.