• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.90-90
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• 2016

본 연구에서는 증발산, 토양수분, 태양복사에너지, 식생 활동 등과 같은 수문기상인자들을 활용하여 새로운 가뭄 지수(Energy-based Water Deficit Index(EWDI)를 개발하였고 이는 Moderate Resolution Imaging Spectroradiometer(MODIS)에서 제공되는 산출물들을 활용하였다. EWDI는 물의 순환과 탄소 순환을 동시에 고려하여 기존에 활용되는 다른 가뭄지수들보다 다양한 측면에서 가뭄을 분석할 수 있는 장점을 가지고 있으며 산정된 EWDI는 증발산 기반의 가뭄지수인 Stand-alone MODIS-based Evaporative Stress Index(stMOD_ESI)와 함께 시공간적인 변동성을 비교하여 전 세계적으로 가뭄 피해가 심각한 지역인 몽골, 호주, 한반도 지역에 대해 2000년에서 2010년까지 적용성을 파악하였다. 또한, 본 연구에서는 각 지수들 간의 상관관계를 파악하고 수문기상 인자들과 가뭄 현상 사이에 관계성을 파악하기 위해 Receiver Operating Characteristics(ROC) 분석을 수행하였다. 위에서 언급한 여러 분석 결과를 토대로, EWDI와 stMOD_ESI는 기존에 많이 쓰였던 가뭄 지수인 표준강수지수(Standardized Precipitation Index, SPI)에 비해 가뭄 상태를 더욱 잘 파악할 수 있는 것으로 나타났으며 EWDI와 stMOD_ESI가 광역적인 범위에서의 적용성이 높음을 파악하였다. 본 연구를 통해 수문기상학 및 수자원 분야에서의 인공위성을 활용한 가뭄 분석 연구의 기틀이 마련되길 기대해 볼 수 있다.

• 한국태양에너지학회 논문집
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• 제40권3호
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• pp.1-20
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• 2020

In accordance with the Government's policy, renewable power generation is expanding very largely. This leads to increasing uncertainty in the power market and power system owing to the intermittent and fluctuating output characteristics of renewable power generators. Data on the acquisition of renewable power generators can be largely classified according to the operation of the power market and power system. Data on the settlement for the payment for the power amount are acquired in the power market, and real-time data for monitoring the status and output of the generators are acquired in the power system. However, renewable power generators operating in the power market have different acquisition cycles depending on the method of communication of the power meter. They acquire data only for settlement purposes and have no real-time data, which requires improvement. In this paper, the acquisition status is reviewed by classifying the data of renewable power generators into settlement and real-time data. In addition, measures and acquisition criteria for real-time data of renewable power generators for improving the acquisition method are proposed.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.62-73
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• 2020

In this paper, we present electronic acupuncture needles we have developed using intelligence technology based on Bluetooth in order to allow anyone to simply receive customized remote diagnosis and treatment by clicking on the menu of the smartphone regardless of time and place. In order to determine the health condition and disease of patients, we have developed a software and a hardware of electronic acupuncture needles, operating on Bluetooth which transmits biometric data to oriental medical doctors using the functions of automatically determining pulse diagnosis, tongue diagnosis, and oxygen saturation; the functions are most commonly used in herbal treatment. In addition, using fuzzy logic and reasoning based on smartphones, we present in this paper an algorithm and the results of completion of hardware implementation for electronic acupuncture needles, appropriate for the body conditions of patients; the algorithm and the hardware implementation are for a treatment time duration by electronic acupuncture needles, an automatic determinations of pulse diagnosis, tongue diagnosis, and oxygen saturation, a function implementation for automatic display of acupuncture point, and a strength adjustment of electronic acupuncture needles. As a result of our simulation, we have shown that the treatment of patients, performed using an Electronic Acupuncture Needles based on intelligence, is more efficient compared to the treatment that was performed before.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제10권1호
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• pp.29-34
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• 2021

실시간 화상교육은 원격지에서 강의자와 학습자의 면대면 교육을 대체하는 효과적인 수업 운영방식으로 활용되고 있다. 하지만 기존의 영상통화 및 화상회의 시스템을 활용하는 형태가 주를 이루고 있으며 이는 영상을 통한 강의에 치중하게 되어 어학교육에서 효과성을 보이고 있다. 그러나 그 외의 교육에서는 활용도가 미비한 실정이다. 최근 코로나로 인해 영상 중심의 화상 교육이 있으면서 화상 회의 시스템이 가지는 영상 중심 화상교육의 제한점을 개선하여 강의자와 학습 참여자 모두에게 수업 중 활용할 수 있는 기능을 제공한다. 본 논문에서는 수학교육에서 효과성을 향상시킬 수 있는 실시간 화상 시스템의 설계 모델을 제시한다.

• 한국기계가공학회지
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• 제20권2호
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• pp.14-22
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• 2021

A plan for the development of reliability-based ROK amphibious assault vehicles is proposed. By analyzing the development case of the U.S. EFV, considerations for the successful development of the next-generation Korea Forces amphibious assault vehicle are presented. If the vehicle reliability can be improved to the level of the fourth highest priority electric unit for power units, suspensions, decelerators, and body groups, which have the highest priority among fault frequency items, a system level MTBF of 36.4%↑ can be achieved, and the operational availability can be increased by 3.5%↑. The next-generation amphibious assault vehicles must fulfill certain operating and performance requirements, the underlying systems must be built, and sequencing of the hybrid engine and the modular concept should be considered. Along with big-data- and machine-learning-based failure prediction, machine maintenance based on augmented reality/virtual reality and remote maintenance should be used to improve the ability to maintain combat readiness and reduce lifecycle costs.

• 드라이브 ㆍ 컨트롤
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• 제18권1호
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• pp.24-30
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• 2021

There is an increasing interest in condition-based maintenance for the prevention of economic loss due to failure. Moreover, immense research is being carried out in related technologies in the field of construction machinery. In particular, data-based failure diagnosis methods that employ AI (machine & deep learning) algorithms are in the spotlight. In this study, we have focused on the failure diagnosis and mode classification of reduction gear of excavator's travel device by using the AI algorithm. In addition, a remote monitoring system has been developed that can monitor the status of the reduction gear by using the developed diagnosis algorithm. The failure diagnosis algorithm was performed in the process of data acquisition of normal and abnormal under various operating conditions, data processing and analysis by the wavelet transformation, and learning. The developed algorithm was verified based on three-evaluation conditions. Finally, we have built a system that can check the status of the reduction gear of travel devices on the web using the Edge platform, which is embedded with the failure diagnosis algorithm and cloud.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.40-42
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• 2011

Smart hand-held devices like iPhone, iPad, Andriod and other mobile-OS machines are becoming a well known part of our daily lives. Utilization of these devices has gone beyond the expectations of their inventors. Evolution of Apple's iOS from a mobile phone Operating System to a wholesome platform for Portable Gaming is an adequate proof. Using these smart devices people are downloading applications from numerous online App Stores. Utilizing remote storage facilities and confining themselves to computing power far below than an entry level laptop, netbooks have emerged. Google's idea of Chrome OS coupled with Google's AppEngine is an eye-opener for researchers and developers. Keeping all these industry-proven innovations in mind we are proposing a Context-Driven Cloud-Oriented Application Architecture for smart devices. This architecture enables our smart devices to behave smarter by utilizing very less of local resources.

• 한국전기전자재료학회논문지
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• 제35권2호
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• pp.160-164
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• 2022

In this paper, through the development of a smart panel (LCD kiosk) controller, contents to develop a system that can be operate in a desired environment by operating the window control and ventilation facilities according to the automatic controller operation based on the set values such as temperature, humidity, sunlight, and rainfall. In particular, the MQTT protocol-based sensor module can be directly manufactured and applied at any time based on various communication and power sources such as wireless, wired, and PLC (power line communication) to obtain the desired data, as well as fire, power failure, and intrusion in the house. It is also a system that enables operation and monitoring from a remote location based on the cloud environment by connecting sensors. Kiosks are currently being used in many places, and the demand for them is on the rise, and an active influx of young people can be expected through environmental improvement. It is expected to increase interest and understanding for improvement.

• 한국군사과학기술학회지
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• 제27권4호
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• pp.457-465
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• 2024

The Remote Control Munition System is a anti-personnel munitions system to replace land mines that are hard to retrieve and can inflict damage on friendly forces and civilians. As operating environments and methods change, quality improvement is necessary to ensure appropriate durability. Therefore, corrosion resistance evaluation was performed according to the surface treatment of ALDC12, the main assembly material. We conduct the potentiodynamic polarization, cyclic corrosion test to perform analysis on corrosion behavior. Additionally, we try to observe the pitting on the surface through SEM analysis. In conclusion, among the three surface treatments, Anodizing surface treatment is judged to be the most suitable for corrosion durability in a field environment.

• 대한원격탐사학회지
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• 제35권3호
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• pp.457-470
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• 2019

Synthetic Aperture Radar(SAR)영상을 이용한 자동 표적 인식(Automatic Target Recognition(ATR))은 날씨와 주야에 영향을 받지 않는 장점으로 감시, 정찰, 및 국토안보 등의 분야에서의 관심이 증대되고 있다. 그러나 SAR 자동표적인식은 실제 환경에서 발생하는 다양한 문제로 인해 자동으로 표적을 식별하는데 어려움이 있다. 따라서 본 연구에서는 실제 환경과 유사한 Extended Operating Conditions(EOC)에서의 ATR 문제에 대한 분석을 수행하였다. 특히, 표적의 폐색 조건과 훈련 영상과 테스트 영상의 관측 부각 차이에 따른 표적 식별률의 변화를 정량적으로 분석하였다. 관측 부각은 $30^{\circ}$와 $45^{\circ}$로 구분하였으며, 10%부터 50%까지의 다양한 폐색 조건에 대한 영상을 생성하기 위해 SARBake 알고리즘을 적용하였다. 표적에 대한 정량적인 식별률은 표적인식 분야에서 대표적으로 이용되는 템플릿 매칭과 Adaboost 알고리즘을 적용해 분석하였다. 분석 결과 관측부각에 따른 식별률은 두 알고리즘 모두 $45^{\circ}$에서 $30^{\circ}$보다 30%이상 급감했다. $30^{\circ}$의 관측 부각에서 템플릿 매칭은 75.88%, Adaboost 알고리즘은 94.46%로 Adaboost의 식별률이 높았다. 폐색 조건에 따른 식별률은 템플릿 매칭의 경우 폐색이 없을 때 95.77%에서 10%의 폐색 조건일 때 52.69%로 식별률이 급감하였다. Adaboost 알고리즘의 경우 폐색이 없을 때 85.16%, 10%의 폐색 조건일 때 68.48%로 폐색 조건에서의 식별률이 높았다. Adaboost 알고리즘은 50%의 폐색조건에서도 52.48%로 템플릿 매칭이 동일한 조건에서 30% 이하의 식별률을 보이는 것에 비해 전반적으로 높은 식별률을 보였다.