• Tuberculosis and Respiratory Diseases
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• v.56 no.4
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• pp.356-363
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• 2004

Background : The nationwide tuberculosis registry system in Korea has been operated with the dual reporting system - public health center (PHC) and private medical services (PMS) - since 2000. While three-fifths of the registered cases in 2002 was reported by PMS, it was reported that the success rate of patients at PMS was lower than that at PHC. To identify the problems of the patients' management at the PMS as well as the PHC in a community is the aim of this paper. Methods : The subject was selected from the registered cases of the pulmonary tuberculosis in Jejudo, 2002. The needed items for this study were gathered by the reviewing the medical charts directly. Results : Of the 262 patients included in the subject, 92 cases (35%) were treated initially at PMS. The sputum smear as an essentially diagnostic test was carried out with 69.2% at private clinics compared with 98.2% at PHC. The success rate of the treatment at PMS was 59.8% so that it had a statistically significant difference from that at PHC (80.0%; p<0.01). Conclusion : These results showed that there were several problems in diagnosis and treatment for the patient of pulmonary tuberculosis at PMS. To improve the success rate of the treatment at PMS, the nationwide clinical guideline for control of pulmonary tuberculosis should be systematically disseminated and strongly recommended at PMS by the government.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.101-103
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• 2016

Recently, the target object can be represented as sparse coefficient vector in visual tracking. Due to this reason, exploitation of the compressibility in the transform domain by using L1 minimization is needed. Further, L1 minimization is proposed to handle the occlusion problem in visual tracking, since tracking failures mostly are caused by occlusion. Furthermore, there is a weighted parameter in L1 minimization that influences the result of this minimization. In this paper, this parameter is analyzed for occlusion problem in visual tracking. Several coefficients that derived from median value of the target object, mean value of the arget object, the standard deviation of the target object are, 0, 0.1, and 0.01 are used as weighted parameter of L1 minimization. Based on the experimental results, the value which is equal to 0.1 is suggested as weighted parameter of L1 minimization, due to achieved the best result of success rate and precision performance parameter. Both of these performance parameters are based on one pass evaluation (OPE).

• The Journal of the Korean dental association
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• v.51 no.4
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• pp.190-197
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• 2013

A titanium based screw shaped dental implant was first introduced by Branemark and a treatment protocol where the restoration of edentulous area by connecting abutment after the osseointegration of the titanium surface of the implant and surrounding bone structure has been proposed. Although this protocol is widely accepted as a standard up to date, the healing duration of 3-6 months as well as the need for provisional prostheses during this period present as a major drawback. Immediate loading has been accomplished through the advent of various implant designs, enforced surface treatments, diverse forms of abutment, and delicate surgical techniques together with the increase in demand from the patients. The success rate of the immediate loading technique has been first reported as 85.7% by Dr. Schnitman in 1990 which recently has been reported up to 100% in the case of immediate loading in single tooth by Dr. Kan. To ameliorate the success rate of immediate loading technique, selection of patients presenting a sound bone quality and quantity, acquiring primary stability through delicate surgical techniques and fabrication of prostheses which accounts for biological stabilities should all be taken into consideration. This presentation introduces the understanding of biological stability of immediate loading, various methods for measurement of stability and clinical cases regarding immediate loading technique.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.179-184
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• 2006

Rapid and high-precision positioning with a Global Navigation Satellite System (GNSS) is feasible only when very precise carrier-phase observations can be used. There are two kinds of mathematical models for ambiguity resolution. The first one is based on both pseudorange and carrier phase measurements, and the observation equations are of full rank. The second one is only based on carrier phase measurement, which is a rank-defect model. Though the former is more commonly used, the latter has its own advantage, that is, ambiguity resolution will be freed from the effects of pseudorange multipath. Galileo will be operational. One of the important differences between Galileo and current GPS is that Galileo will provide signals in four frequency bands. With more carrier-phase data available, frequency combinations with long equivalent wavelength can be formed, so Galileo will provide more opportunities for fast and reliable ambiguity resolution than current GPS. This paper tries to investigate phase only fast ambiguity resolution performance with four Galileo frequencies for short baseline. Cascading Ambiguity Resolution (CAR) method with selected optimal frequency combinations and LAMBDA method are used and compared. To validate the resolution, two tests are used and compared. The first one is a ratio test. The second one is lower bound success-rate test. The simulation test results show that, with LAMBDA method, whether with ratio test or lower bound success rate validation criteria, ambiguity can be fixed in several seconds, 8 seconds at most even when 1 sigma of carrier phase noise is 12 mm. While with CAR method, at least about half minute is required even when 1 sigma of carrier phase noise is 3 mm. It shows that LAMBDA method performs obviously better than CAR method.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.3
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• pp.254-262
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• 2003

In this study, acoustic emission (AE) signals due to surface cracking and moisture movement in the flat-sawn boards of oak (Quercus Variablilis) during drying under the ambient conditions were analyzed and classified using the principal component analysis. The AE signals corresponding to surface cracking showed higher in peak amplitude and peak frequency, and shorter in rise time than those corresponding to moisture movement. To reduce the multicollinearity among AE features and to extract the significant AE parameters, correlation analysis was performed. Over 99% of the variance of AE parameters could be accounted for by the first to the fourth principal components. The classification feasibility and success rate were investigated in terms of two statistical classifiers having six independent variables (AE parameters) and six principal components. As a result, the statistical classifier having AE parameters showed the success rate of 70.0%. The statistical classifier having principal components showed the success rate of 87.5% which was considerably than that of the statistical classifier having AE parameters.

• Journal of Animal Science and Technology
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• v.61 no.3
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• pp.163-169
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• 2019

Detection of estrus is an essential factor as a method of successful breeding in the sow. As increasing the adaption of the information and communication technology (ICT) into swine industry, this study focuses on a possibility and quantification of standing time, vulva and body temperature as methods of estrus detection, comparing each time and temperature in estrus and non-estrus period, and analyzing each success rate of new and existing methods. Ultrasonic sensor array and digital infrared thermography were used to evaluate whether new methods such as standing time and number, and vulva and skin temperature can be replaced, or these methods can be quantifiable in estrus period. Ultrasonic sensor array was installed beside the stall and digital infrared thermography was placed in the rear of sow to collect the dates of sow in estrus and non-estrus period. This study showed total standing time, number and number over 10 minutes, and vulva temperature of the sow in estrus period were increased (p < 0.05) compared with those of sow in non-estrus period, respectively. Detection of estrus using standing time and vulva temperature tended (p = 0.06) to increase the success rate when artificial insemination (AI) was performed. In conclusion, standing time and vulva temperature increased when estrus happened. Success rate of AI of sow using these methods showed an increasing trend. Therefore, existing method using the naked eye can be replaced to new method such as vulvar temperature and standing time when detecting the estrus.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.1-14
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• 2021

Recently, crowdfunding platforms have received attention as one of the content investment platforms for the public. This research attempts to explore the influencing factors on the success of movie euqity crowdfunding project. We use 'number of texts', 'number of images', 'star influence power', 'IP-based movie project', 'movie production stage', 'box office prediction', 'investment capital ratio', 'amount of surplus available investment', 'profit calculation method' and 'minimum investment amount' as independent variables. And we examined how these factors affects the achievement rate of movie crowdfunding. As a result of multiple regression analysis, 'movie production stage', 'investment capital ratio', 'amount of surplus available investment' and 'profit calculation method' have a significant effect on the crowdfunding achievement rate. In addition, the results of this research can be used for reference when planning film crowdfunding projects.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.17-22
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• 2021

In this paper, a machine learning-based automatic infographic recommendation system is proposed to improve the existing infographic production method. This system consists of a part that machine learning multiple infographic images and a part that automatically recommends infographics with artificial intelligence only by inputting basic data from the user. The recommended infographics are provided in the form of a library, and additional data can be input by drag & drop method. In addition, the infographic image is designed to be dynamically adjusted according to the size of the input data. As a result of analyzing the machine learning-based automatic infographic recommendation process, the matching success rate for layout and keyword was very high, and the matching success rate for type was rather low. In the future, a study to improve the matching success rate for the image type for each part of the infographic will be needed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.965-973
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• 2022

As IoT(Internet of Things) devices become common, many algorithms have been developed to protect users' personal information. The laser fault injection attack that threatens those algorithms is a side-channel analysis that intentionally injects a laser beam to the outside of a device to acquire confidential information or abnormal privileges of the system. There are many studies to determine the timing of fault injection to reduce the number of necessary fault injections, but the location to inject faults is only repeatedly searched for the entire area of the device. However, when fault injection is performed in an algorithm-independent area, the attacker cannot obtain the intended faulted statement or attempt to bypass authentication, so finding areas vulnerable to fault injection and performing an attack is an important consideration in achieving a high attack success rate. In this paper, we show that a 100% attack success rate can be achieved by determining the vulnerable areas for fault injection by using electromagnetic and thermal information generated from the device's chip. Based on this, we propose an efficient fault injection attack system.

• Annals of Hepato-Biliary-Pancreatic Surgery
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• v.26 no.1
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• pp.98-103
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• 2022

Backgrounds/Aims: This study aimed to evaluate clinical application of InnoSEAL Plus (a mussel-inspired catecholamine hemostat) as a new hemostatic material for humans. Methods: Patients treated with topical hemostatic patches after liver resection were enrolled. They were divided into an experimental group (InnoSEAL Plus group) and two control groups (TachoSil^® group and Surgicel Fibrillar^® group) for efficacy evaluation. Results: A total of 15 patients were enrolled. Each group had five patients. The 3-minute hemostasis success rate was 80.0% (4/5 patients) in the InnoSEAL Plus group, 80.0% (4/5 patients) in the TachoSil^® group, and 40.0% (2/5 patients) in the Surgicel Fibrillar^® group, showing no significant difference in the success rate among these groups (p > 0.05). All three groups exhibited 100% success rate for 10-minute hemostasis. Both InnoSEAL Plus and TachoSil^® groups had one patient developing adverse events, which were treated easily with drug administrations. Conclusions: InnoSEAL Plus is expected to be functionally not inferior to other conventional hemostatic agents. However, it is necessary to confirm this through multicenter prospective studies in the future.