• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.465-468
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• 2014

본 논문은 UWB(Ultra Wide Band) 펄스를 이용해서 인체에 접촉하지 않고 호흡, 심장 박동, 혈압, 혈당 등 생체 신호를 측정할 수 있는 방법을 기술하였다. 생체 신호는 건강을 점검하는 기초 자료로 인간의 활동 영역이 매우 넓어지고 수명이 길어지고 있으므로 기존 병원에 집중된 인적 및 물적 의료 시스템을 환자와 밀접하게 확산시켜서 신속한 치료 및 조치를 취해 건강한 생활을 영위할 수 있도록 요구하고 있다. 이와 같이 환자에 밀접하게 설치되어 지속적으로 불편함 없이 건강을 감시하는 방법으로 전파를 활용하는 방법이 오래 전부터 연구되어 왔으나 전파의 인체에 대한 특성 등을 정확히 파악하지 않고 개발되어 왔으므로 실제 임상에 적용하기에는 원하는 수준의 성능에 도달하지 못해 널리 실용화 되지 않고 있다. 본 논문에서는 기존 문제점인 인체에 대한 UWB 펄스파의 영향 및 특성 등을 분석해서 기술하였다.

• 한국ITS학회 논문지
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• 제18권5호
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• pp.156-170
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• 2019

급속히 늘어난 스마트폰의 보급은 인간의 라이프 스타일 변화에 영향을 미치고 있으며, 스마트폰 기반 위치정보는 실내외 공간에서 다양한 편의성 서비스를 제공할 수 있는 환경을 마련하고 있다. 특히, GPS 정보가 제공되고 있지 않은 지하공간의 경우에서 위치 기반 서비스가 제공된다면 정보약자와 교통약자를 위한 길 찾기와 길 안내 등 많은 편의를 제공할 수 있다. 그러나, 지하철 역사에서 길 안내 서비스 구현은 측위 정확도를 확보하는 것은 여전히 어려운 과제이다. 본 연구는 지하철 역사에서 실내 내비게이션을 위해 선행되어야 하는 모든 과정을 하나의 시스템에서 수행할 수 있도록 융합 측위 알고리즘과 함께 연속 측위에서 사용하는 새로운 보행자 걸음 인식기법을 개발하고, 평가하고 있다.

• 대한원격탐사학회지
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• 제35권3호
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• pp.359-373
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• 2019

소나무재선충병은 우리나라 소나무림에 심각한 위협이 되고 있는 질병이다. 그러나 일반적으로 재선충병의 고사목 관측은 현장조사를 기반으로 하고 있기 때문에 물리적, 경제적 문제가 있어 대규모 삼림을 관측하는데 어려움이 있다. 본 연구에서는 소나무재선충병이 재발한 지역에 무인 항공기를 이용하여 고해상도 영상을 획득하였다. 이후 Artificial Neural Network(ANN), Support Vector Machine(SVM) 감독분류 기법을 통해 소나무재선충병 의심목을 탐지하였고. 감독분류 결과에 대한 정확도를 산출하였다. 또한 접근성이 높은 산림에 대해 감독분류를 실시한 후 현장 조사 결과간의 비교를 통해 정확도의 신뢰성을 검증하였다.

• Mass Spectrometry Letters
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• 제10권1호
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• pp.38-42
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• 2019

Damaurone D belongs to the genus Rosa and is a traditional medicinal product used for the treatment of depression, inflammation, and infectious diseases. The purpose of this study was to develop a simple liquid chromatography-tandem mass spectrometry method for the detection of damaurone D in rat plasma and to demonstrate its application in pharmacokinetic studies. Damaurone D and berberine (internal standard) were extracted with acetonitrile using a protein precipitation method. Mass transition was monitored in multiple reaction monitoring mode at m/z $323.2{\rightarrow}267.0$ for damaurone D and m/z $336.1{\rightarrow}320.0$ for berberine in positive ion mode. Analytical validation was conducted by evaluating the specificity, linearity, accuracy, precision, matrix effect, extraction recovery, and stability. The calibration curves were linear over 2-1000 ng/mL. The intra- and inter-day precision and accuracy of quality control samples were 4.79-13.33% and 86.23-102.75%, respectively. The matrix effect and extraction recovery were 96.11-98.47% and 96.11-102.25%, respectively. In the pharmacokinetic study after intravenous administration of damaurone D at a dose of 3 mg/kg in rats, the area under the curve and clearance of damaurone D in rat plasma were $16750.26{\pm}2676.10min{\cdot}ng/mL$ and $182.44{\pm}31.36mL/min/kg$, respectively.

• 한국환경보건학회지
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• 제45권1호
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• pp.54-61
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• 2019

Objectives: In this study, we investigated an assessment for exposure levels of hazardous substances to kids cafes that unregulated by law. Methods: Heavy metals, volatile organic compounds, formaldehyde, pesticides and phthalate were measured at 20 kids cafes in Gyeonggi-do and Incheon. Samplings were conducted from April to July in 2018. Results: Heavy metals were detected over the standard mainly around the floor and walls in the 19 kids cafes. Pesticides were detected in 7 locations with chlorpyrifos, diazinon and cypermethrin, and showed the highest detection level of chlorpyrifos. The concentrations of DEHP in all kids cafes were exceeded with standard. The risk assessment results showed that HCHO as carcinogen had a safety level and DEHP as non-carcinogens had a safety level as assessed to be under than 0.1. Conclusions: Considering the exposure investigation results and the importance of child health protection, kids cafe should be included in the legal management list of children's activities zones.

• 분석과학
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• 제32권2호
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• pp.48-55
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• 2019

The simple and effective analytical method for the quality control of a novel scalp tonic formulation has been developed and optimized in terms of HPLC conditions and sample preparation method, meanwhile, the optimization of preparation condition was using response surface methodology (RSM) based on central composite design (CCD). Oleanolic acid was selected as marker compound because of its bioactivities for alopecia therapy. The developed analytical method and extraction condition were successfully qualified. Coefficient of determination ($r^2$) for the calibration was 0.9997 with a line passing through the origin point in the range of 0.1-100 mg/mL. The limit of detection (LOD) and the limit of quantitation (LOQ) were 17.5 ng/mL and 55.0 ng/mL, respectively. The intra-day and inter-day precision of the method were 0.5-1.4 % and 0.7-1.8 % in relative standard deviation, respectively, while those accuracy were 99.5-100.9 % and 100.0-102.2 %, respectively. The repeatability of oleanolic acid in samples ranged of 0.3-1.9 % based on peak area and 0.3-0.7 % for retention time. Recoveries from samples were 95.0-99.4 % with lower than 1.8 % in relative standard deviation. Overall, the developed analytical method will be used for quality control of this commercial scalp tonic products successfully.

• 고신대학교 의과대학 학술지
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• 제33권3호
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• pp.337-346
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• 2018

Objectives: Serum procalcitonin (PCT) is a specific biomarker that rises after bacterial infection, and levels of PCT are known to correlate with the severity and mortality of patients with pneumonia and sepsis. However, the usefulness of PCT levels in acute pyelonephritis is unknown. This study aimed to evaluate the effectiveness of using the PCT level as a predictive test for bacteremia in acute pyelonephritis. Methods: Between January 2012 and June 2013, 140 patients diagnosed with acute pyelonephritis were admitted to Haeundae Paik Hospital. Serum PCT, C-reactive protein (CRP), and white blood cell (WBC) levels at pre- and post- treatment were measured. Blood and urine cultures were obtained from all patients. The levels of PCT, CRP, and WBCs were each compared between the blood culture-positive and blood culture-negative groups to assess their effectiveness in predicting bacteremia. Results: Pre-treatment PCT level was 0.77 ng/mL (95% CI: 0.42-1.60 ng/mL) in the blood culture-negative group and 4.89 ng/mL (95% CI: 2.88-9.04 ng/mL) in the blood culture-positive group, and the increase between the two groups was statistically significant. The area under the receiver operating characteristic curve of PCT level for prediction of bacteremia was 0.728. A cut-off value of 1.23 ng/mL indicated a sensitivity of 79.0 % and specificity of 60.0 % for PCT level. Conclusions: Serum PCT level is a useful predictive test for bacteremia in acute pyelonephritis. Through the early detection of bacteremia, serum PCT level can help estimate the prognosis and predict complications such as sepsis.

• 대한건축학회논문집:계획계
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• 제36권5호
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• pp.93-103
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• 2020

The purpose of this study is to suggest a supervisory way to improve the efficiency of Building Supervision using Deep Learning, especially object detecting technology. Since the establishment of the Building Supervision system in Korea, it has been changed and improved many times systematically, but it is hard to find any improvement in terms of implementing methods. Therefore, the Supervision is until now the area where a lot of money, time and manpower are needed. This might give a room for superficial, formal and documentary supervision that could lead to faulty construction. This study suggests a way of Building Supervision which is more automatic and effective so that it can lead to save the time, effort and money. And the way is to detect the hoop-bars of a column and count the number of it automatically. For this study, we made a hoop-bar detecting network by transfor learnning of YOLOv2 network through MATLAB. Among many training experiments, relatively most accurate network was selected, and this network was able to detect rebar placement in building site pictures with the accuracy of 92.85% for similar images to those used in trainings, and 90% or more for new images at specific distance. It was also able to count the number of hoop-bars. The result showed the possibility of automatic Building Supervision and its efficiency improvement.

• International Journal of Advanced Culture Technology
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• 제9권2호
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• pp.100-105
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• 2021

Contactless service is rapidly emerging as a new growth strategy due to consumers who are reluctant to the face-to-face situation in the global pandemic of coronavirus disease 2019 (COVID-19), and various technologies are being developed to support the fast-growing contactless service market. In particular, the restaurant industry is one of the most desperate industrial fields requiring technologies for contactless service, and the representative technical case should be a kiosk, which has the advantage of reducing labor costs for the restaurant owners and provides psychological relaxation and satisfaction to the customer. In this paper, we propose a solution to the restaurant's store operation through the unmanned kiosk using a state-of-the-art artificial intelligence (AI) technology of image recognition. Especially, for the products that do not have barcodes in bakeries, fresh foods (fruits, vegetables, etc.), and autonomous restaurants on highways, which cause increased labor costs and many hassles, our proposed system should be very useful. The proposed system recognizes products without barcodes on the ground of image-based AI algorithm technology and makes automatic payments. To test the proposed system feasibility, we established an AI vision system using a commercial camera and conducted an image recognition test by training object detection AI models using donut images. The proposed system has a self-learning system with mismatched information in operation. The self-learning AI technology allows us to upgrade the recognition performance continuously. We proposed a fully automated payment system with AI vision technology and showed system feasibility by the performance test. The system realizes contactless service for self-checkout in the restaurant business area and improves the cost-saving in managing human resources.

• 한국ITS학회 논문지
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• 제20권3호
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• pp.74-85
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• 2021

전파를 수신하여 측위를 수행하는 GNSS 수신기는 본질적으로 재밍에 취약하다. 재밍 발생 검출, 재밍 신호 종류 판별, 재밍원 위치추정 기능을 갖는 GNSS 재밍 모니터링 시스템은 안전한 자율주행 환경구축에 도움을 준다. 이를 위하여 다수의 저가 GNSS 수신기들의 배치로 구성된 GNSS 모니터링 네트워크 구축이 필요하며, 앞서 언급한 3가지 기능 구현을 위하여 네트워크 내 독립된 저가 GNSS 수신기 간 정밀 시각 동기가 요구된다. 본 논문은 신호영역 TDOA 기술 직접 사용방식의 수신기 간 시각 동기화 기법을 제안한다. 계산 효율성을 위하여 상대적으로 낮은 샘플링 주파수에도 시각 동기 정밀도를 유지하고자 블록 보간법을 추가로 활용한다. 수치적 시뮬레이션을 통하여 제안한 GNSS 수신기 간 시각 동기화 기법의 가용성을 입증한다.