• Journal of Advanced Navigation Technology
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• v.15 no.4
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• pp.646-654
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• 2011

Recently, the task in which the number of people of the emergency medical technician whom it boards the ambulance is unreasonably insufficient and in which the fire fighter one person gets in the ambulance and which transfers the patient comes into question often. When the emergency patient is generated, it has to transfer to the special hospital in which above anything else, the measure which is quick and exact is needed and where there is the medical device which is suitable for particularly, the patient. This paper implementations the emergency medical system by the smart phone. The implemented system monitors the heart beat of the patient the monitoring among the patient transport with the real-time type. It can grasp the medical history information of the patient, and etc. in the past. And the system provides the emergency hospital which the patient requires and the pre-hospital phase provides the environment in which the disposition which is quick and efficient is possible to the emergency patient.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.704-705
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• 2016

스마트아이 기술은 기존의 재난 감시 및 관리 서비스가 사람에 의한 단순 모니터링 기반의 대응을 제공하는 데 비해, 무인기를 활용해 사람의 사각에서 발생하는 재난 상황을 촬영하여 감시 및 분석을 하며, 무인기에 탑재된 다중 복합 센서 데이터의 실시간 처리 분석을 통해 국지적 산불 재난의 감지 예측 및 상황대응을 지원하고, 통합경보 시스템과 연동하여 대국민 재난 정보 전달 서비스 제공하는 서비스이다. 현재 본 서비스를 제공할 수 있는 Front to End 시스템이 개발 완료되어 실험실 테스트를 진행하였으며, 이와 더불어 실제 필드에서의 재난 감시 및 예측 성능을 검증하기 위한 필드 테스트를 준비 중에 있다. 이에 본 논문에서는 현재 구축하고 있는 스마트아이 재난 관리 플랫폼 실험실 테스트의 진행상황을 간단히 소개하고, 재난 영상의 획득, 분석, 및 예측을 수행하는 통합 플랫폼의 주요 기능들에 대해서 논한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.627-628
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• 2016

해마다 발생하는 자연재해는 사망, 실종과 같은 인명 피해와 더불어 수억 원에 달하는 재산피해를 수반하기 때문에, 경제적, 사회적 손실을 최소화할 수 있는 ICT 기반 자연재난 대응 기술 개발에 대한 관심도가 높아지고 있다. 본 논문에서는 무인기 및 탑재 센서로부터 획득한 영상정보를 기반으로 재난 인지 및 대응을 위한 스마트아이 플랫폼을 소개하고, 재난 인지에 핵심요소 기술인 Deep Learning 기반 재난 영상 분석 기술을 제안한다. 제안하는 Deep Learning 기반 재난 영상 분석은 과거의 반복적으로 발생하는 영상 정보를 학습함으로써, 새로운 입력 영상에 대한 재난 여부를 사람과 유사한 판단이 가능하도록 한다. 제안하는 재난 영상 분석 기술에 대한 설계 방식 및 실험 성능 제시를 통하여 제안하는 기법에 대한 타당성을 검증한다.

• Carbon letters
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• v.9 no.3
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• pp.195-199
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• 2008

A nanocomposite consisting of $Fe_3O_4$ and MWCNT was produced via sol-gel technique using $FeCl_3$ along with MWCNT by calcination at $300^{\circ}C$. The degradation effect of rhodamine B dye has been investigated under UV illumination in a darkroom. The degradation reaction was studied by monitoring the discoloration of dye as a function of irradiation time using UV-visible spectrophotometeric technique. The $Fe_3O_4$-MWCNT samples have continuous degradation ability under the UV illumination with the first order kinetics and the dye removal was better than in the pristine $Fe_3O_4$. The resultant composite catalyst was found to be efficient for the photo-Fenton reaction of the dye.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.45-46
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• 2018

S2 module, which is one of the Korean type e-Navigation services, is a service concept that monitors the situation onboard and provides an emergency level determination and response guidance to the ship when an alarm occurs. S2 module is divided into fire/ seakeeping / navigation safety sub-module. In this paper, the concept of S2 service based on actual ship is explained through the response guidance case study of navigation safety module in case of abnormal condition in the passenger ship H.

• Journal of IKEEE
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• v.22 no.4
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• pp.959-964
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• 2018

In this study, a study is conducted on a monitoring system that can control the environment of plants using sensors in conjunction with the LED light system and the plant growth control system. To verify the performance of the developed plant growth system, an experiment was conducted on the characteristics of energy efficiency, data transmission rate, and light volume control. The experiment resulted in a satisfactory result by controlling more than 80% energy efficiency, 1Mb/sec wireless communication speed, and 5 levels of optical control. The proposed system can be applied to LED plant facilities and will contribute to the automation of agriculture by organizing an automated system for production efficiency and labor cost reduction for future commercialization.

• Korean Journal of Remote Sensing
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• v.35 no.4
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• pp.503-516
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• 2019

We have estimated the vertical column density (VCD) of formaldehyde (HCHO) on a global scale using a multiple linear regression method (MRM) with Ozone Monitoring Instrument (OMI) and Moderate-Resolution Imaging Spectroradiometer (MODIS) data. HCHO VCDs were estimated in regions of biogenic, pyrogenic, and anthropogenic emissions using independent variables, including $NO_2$ VCD, land surface temperature (LST), an enhanced vegetation index (EVI), and the mean fire radiative power (MFRP), which are strongly correlated with HCHO. To evaluate the HCHO estimates obtained using the MRM, we compared estimates of HCHO VCD data measured by OMI ($HCHO_{OMI}$) with those estimated by multiple linear regression equations (MRE) ($HCHO_{MRE}$). Good MRM performances were found, having the average statistical values (R = 0.91, slope = 1.03, mean bias = $-0.12{\times}10^{15}molecules\;cm^{-2}$, percent difference = 11.27%) between $HCHO_{MRE}$ and $HCHO_{OMI}$ in our study regions where high HCHO levels are present. Our results demonstrate that the MRM can be a useful tool for estimating atmospheric HCHO levels.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.785-788
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• 2014

Even though Korea is No.1 shipbuilding country around the world, there have been a lot of accident and man-made calamity incurring in shipyards these days. Therefore most of Korea major shipyard and mid-small size shipyard deeply agonize about safety management countermeasure. As a result of it, many shipyards pour their effort on developing man watching system, PF wireless communication system, portable measuring system to prevent from accident such as fire, suffocation incurring. In this paper, analyze conventional accident & man-made calamity preventing system adopted by most of shipyard and enable the user to watch accident for 24 hours and notify it to user when it is incurring through state of the art ICT technology. And as a result of it the user can prevent the accident and man-made calamity at the beginning.

• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.61 no.12
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• pp.637-643
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• 2018

Radioimmunotherapy (RIT) is a therapy that takes advantage of the "cross-fire" effect of emitted radiation by radionuclides conjugated to tumor-directed monoclonal antibodies (mAb) (including those fragments) or peptides. While RIT has been successfully employed for the treatment of lymphoma, mostly with radiolabeled antibodies against CD20 [$^{90}yttrium$ ($^{90}Y$)-ibritumomab tiuxetan; $Zevalin^{(R)}$ and $^{131}iodine$ ($^{131}I)-tositumomab$; $Bexxar^{(R)}$], its use in solid tumors is more challenging, so far. Immuno-PET, a tool for tracking and quantification of mAbs with PET in vivo, is an exciting novel option to improve diagnostic imaging and guide mAb-based therapy. RIT in solid tumors including head and neck cancer may be an alternative treatment with advances in various biological, chemical, and treatment procedures, and it may help to reduce unnecessary exposure and enhance the therapeutic efficacy. Also, immuno-PET based on RIT might play an important role in cancer staging, in patients or targets selection of targeted therapeutics and in monitoring the response of targeted therapeutics as precision medicine. In this review, fundamentals of RIT/immune-PET and current knowledge of the preclinical/clinical trials in RIT for solid tumor including head and neck cancer are reviewed.

• Smart Media Journal
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• v.12 no.3
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• pp.77-84
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• 2023

Forest fires are representative natural disasters resulting from dramatic global climate change in these modern times. When forest formation is insufficient due to forest damage caused by fire, secondary damages such as landslides occur during the winter thawing period and heavy rains. In most countries, only a limited area is managed as CCTV-centered monitoring systems for forest management. For the landslide prediction, markers containing 3D spatial coordinates were located on the slopes of the danger areas in advance. Then 3D mapping and angle of repose were obtained by periodic drone imaging. The recognition range and angle of view of markers were defined, and a new method for predicting signs of landslides in advance was presented in this study.