• Korean Journal of Clinical Laboratory Science
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• v.51 no.3
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• pp.329-335
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• 2019

Annually, millions of children die from respiratory virus infections. Human rhinovirus (HRV) is a causative agent of severe respiratory infections in young, elderly, and asthmatic patients with weak immunity. In this study, 9,010 respiratory virus specimens were collected from January 2012 to December 2018 at Dankook University Hospital, Cheonan and examined by real-time reverse transcription polymerase chain reaction. Twelve respiratory viruses were detected. The mean detection rate was 21.3% (N=1,920/9,010), and the mean age of HRV-positive patients was 6.5 years (median age: 1.6 years, range: 0.0~96.0). The detection rate was the highest in July (32.4%) and the lowest in February (8.3%). When the detection rate was analyzed by age group, the detection rate was the second highest in patients aged 10~19 years. The co-infection rate of HRV was 35.3%, and the most common combination was with Adenovirus. Respiratory virus infections are known to occur in children and elderly people with weak immunity. However, in this study, the detection rate was second highest in patients aged 10~19 years. Indeed, the detection rate in this age group was more than 15%, except in January and February. These results suggested that steady-state studies on the infection patterns of HRV are required.

• Toxicological Research
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• v.26 no.3
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• pp.233-236
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• 2010

The analytical in vivo chromium ion was searched for using a voltammetric hollow-fiber dialysis sensor via square wave stripping voltammetry (SW), cyclic voltammetry (CV), and chronoamperometry. Under optimum parameters, the analytical results indicated linear working ranges of 50~400 mg/l CV and $10{\sim}80\;{\mu}g/l$ SW within a 30-sec accumulation time. The analytical detection limit (S/N) was $6.0\;{\mu}g/l$. The developed method can be applied to in vivo tissues and in ex vivo toxicity assay, as well as to other materials that require chromium analysis.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.499-500
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• 2008

In this paper, we design and implement the monolithic power factor correction IC for system power modules using a high voltage(50V) CMOS process. The power factor correction IC is designed for power applications, such as refrigerator, air-conditioner, etc. It includes low voltage logic, 5V regulator, analog control circuit, high-voltage high current output drivers, and several protection circuits. And also, the designed IC has standby detection function which detects the output power of the converter stage and generates system down signal when load device is under the standby condition. The simulation and experimental results show that the designed IC acts properly as power factor correction IC with efficient protective functions.

• The Journal of Korean Physical Therapy
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• v.19 no.3
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• pp.19-30
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• 2007

Purpose: This study was performed to investigate the effects of NMES for recovery of skeletal muscle. Methods: The normal group consisted of healthy rat without cast immobilization. The control group was breeding at standard cage during 7 days after 2 weeks-cast immobilization on hind limb. The experimental group. I. received NMES application during days after 2 weeks-cast immobilization on hind limb. The effects were measured with NT-3 immunoreactivity in neuromuscular junction by light microscope. Results: Immunoreactivity of NT-3 at the neuromuscular junction was higher appeared experimental groups than control group. Then, There was a little detection in the normal and control group. Conclusion: These therapeutic interventions enhance expression of NT-3 at the neuromuscular junction. Also, NMES is considered to effect on a normal structural formation and NT-3 expression at the neuromuscular junction.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.160-162
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• 2019

음향 이벤트 인식 기술은 오디오 신호에서 음향 이벤트를 예측하는 기술로, 최근 대용량 데이터베이스의 배포, 인식 알고리즘과 하드웨어의 발전, 관련 인식 대회 등에 힘입어 많은 연구가 이루어지고 있는 분야이다. 본 논문에서는 음향 장면 및 이벤트 인식 관련 대회인 DCASE 챌린지에 대하여 기술하고, 약한 레이블 기반의 데이터를 학습해 강한 레이블을 예측하는 DCASE 챌린지 과제 4에 대하여 설명한다. 또한 DCASE 챌린지 과제 4에 제출된 다양한 음향 이벤트 인식 알고리즘과 데이터베이스의 종류에 따른 성능을 비교하여 음향 이벤트 인식 성능을 분석한다.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.373-379
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• 1999

This paper investigates the subject of intrusion detection over networks. Existing network-based IDS's are categorised into three groups and the overall architecture of each group is summarised and assessed. A new methodology to this problem is then presented, which is inspired by the human immune system and based on a novel artificial immune model. The architecture of the model is presented and its characteristics are compared with the requirements of network-based IDS's. The paper concludes that this new approach shows considerable promise for future network-based IDS's

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.373-379
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• 1999

This pqer investigates the subject of intrusion detection over networks. Existing network-based IDS's are categorised into three groups and the overall architecture of each group is summarised and assessed. A new methodology to this problem is then presented, which is inspired by the human immune system and based on a novel artificial immune model. The architecture of the model is presented and its characteristics are compared with the requirements of network-based IDS's. The paper concludes that this new approach shows considerable promise for future network-based IDS's.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.6
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• pp.1199-1203
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• 2012

This paper proposes a Scene Change Detection method using the local decision tree and clustering. The local decision tree detects cluster boundaries wherein local scenes occur, in such a way as to compare time similarity distributions among the difference values between detected scenes and their adjacent frames, and group an unbroken sequence of frames with similarities in difference value into a cluster unit.

• Smart Structures and Systems
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• v.6 no.1
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• pp.17-27
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• 2010

The approach to damage detection and localization adopted in this paper is based on a statistical comparison of models built from the response time histories collected at different stages during the structure lifetime. Some of these time histories are known to have been recorded when the structural system was undamaged. The consistency of the models associated to two different stages, both undamaged, is first recognized. By contrast, the method detects the discrepancies between the models from measurements collected for a damaged situation and for the undamaged reference situation. The damage detection and localization is pursued by a comparison of the SSE (sum of the squared errors) histograms. The validity of the proposed approach is tested by applying it to the analytical benchmark problem developed by the ASCE Task Group on Structural Health Monitoring (SHM). In the paper, the results of the benchmark studies are presented and the performance of the method is discussed.

• Journal of Information Display
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• v.11 no.4
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• pp.169-172
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• 2010

This paper proposes a multi-touch detection technology that can be applied to large LCDs. To achieve this goal, a set of IR LEDs and sensors was used to construct an IR matrix, and a new algorithm based on Hough transform was applied. This approach reduced the "Ghost" response of the multi-touch detection technology to make it better than other IR touch recognition technologies, and showed robust performance in terms of multi-touch recognition.