• 한국통신학회논문지
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• 제36권4B호
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• pp.405-411
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• 2011

최근 해양 환경 모니터링과 해양 개발에 대한 관심이 증대됨에 따라 수중 무선센서네트워크 구성 및 이를 위한 저전력 수중 통신 모뎀에 대한 연구의 필요성이 제기되고 있다. 이에 본 논문에서는 초소형 무지향성 트랜스 듀서를 탑재한 수중 음향 통신 모뎀을 설계하고 구현한다. 또한, 개발한 모뎀을 사용하여 수조와 실외 환경에서 공급 전압과 통신 거리에 따른 성능 실험을 실시하고 결과를 분석한다. 실외 환경에서의 실험 결과에 의하면, 개발한 모뎀에 12 V를 공급하였을 때 40 m 거리에서 200 bps, $10^{-3}$ 비트오율로 단방향 수중 무선 통신이 가능하였다. 본 논문에서 구현한 모뎀은 초소형, 저전력, 무지향성 특성을 가지므로 수중 무선센서네트워크에 기반한 다양한 응용 시스템에 적용될 수 있을 것으로 기대된다.

• 한국공간구조학회논문집
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• 제23권3호
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• pp.95-103
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• 2023

With the increasing number of aging buildings across Korea, emerging maintenance technologies have surged. One such technology is the non-contact detection of concrete cracks via thermal images. This study aims to develop a technique that can accurately predict the depth of a crack by analyzing the temperature difference between the crack part and the normal part in the thermal image of the concrete. The research obtained temperature data through thermal imaging experiments and constructed a big data set including outdoor variables such as air temperature, illumination, and humidity that can influence temperature differences. Based on the collected data, the team designed an algorithm for learning and predicting the crack depth using machine learning. Initially, standardized crack specimens were used in experiments, and the big data was updated by specimens similar to actual cracks. Finally, a crack depth prediction technology was implemented using five regression analysis algorithms for approximately 24,000 data points. To confirm the practicality of the development technique, crack simulators with various shapes were added to the study.

• 한국태양에너지학회 논문집
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• 제30권3호
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• pp.108-115
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• 2010

Global warming and heat island make the outdoor air temperature ascend. Tall office buildings are covered with glass window facades as a design aspect and the portion of window area to facade area is increasing. Hence, cooling load for solar radiation passing through glass window is rising. Cooling air to a certain room is supplied equally despite the face of the room in most office buildings. Especially, the west part of the office cannot maintain the required temperature that occupant needs because of the solar heat coming through windows.?In this study, we projected the water spray system to reduce the solar heat transfer and to reflect the solar ray through windows. We perform the experiments to evaluate the performance of the solar heat protection devices. We measured the room temperature of two separated office rooms for solar heat control devices. The investigation's results show that the water spray system is sufficient to the coated glass and the venetian blinds for the decrease of the solar heat inflow.

• Journal of the Optical Society of Korea
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• 제17권2호
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• pp.142-147
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• 2013

In order to deduce the difficulty of fixing the Ritchey-Chretien (R-C) dual reflective optical system and enhance the stability of the secondary mirror, a compact integral structure is presented here composed of two transmitting and two reflective aspheric surfaces. The four surfaces were manufactured from a single germanium lens and integrated together. The two reflective surfaces formed by coating the inner reflecting films were assembled in one lens. It makes the installation of the two mirrors easier and the structure of the secondary mirror more stable. A design of mid-wave infrared (MWIR) compact imaging system is presented with a spectral range chosen as $3.7-4.8{\mu}m$. The effective focal length is f=90 mm. The field of view (FOV) for the lens is $4.88^{\circ}$. It has good imaging capability with Modulation Transfer Function (MTF) of all field of view more than 0.55 close to the diffraction limitation. Outdoor experiments were carried out and it is shown that the integral catadioptric optical system performs well on imaging.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3712-3729
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• 2020

Smoke detection is helpful for early fire detection. With its large coverage area and low cost, vision-based smoke detection technology is the main research direction of outdoor smoke detection. We propose a two-stage smoke detection method combined with block Deep Normalization and Convolutional Neural Network (DNCNN) and visual change image. In the first stage, each suspected smoke region is detected from each frame of the images by using block DNCNN. According to the physical characteristics of smoke diffusion, a concept of visual change image is put forward in this paper, which is constructed by the video motion change state of the suspected smoke regions, and can describe the physical diffusion characteristics of smoke in the time and space domains. In the second stage, the Support Vector Machine (SVM) classifier is used to classify the Histogram of Oriented Gradients (HOG) features of visual change images of the suspected smoke regions, in this way to reduce the false alarm caused by the smoke-like objects such as cloud and fog. Simulation experiments are carried out on two public datasets of smoke. Results show that the accuracy and recall rate of smoke detection are high, and the false alarm rate is much lower than that of other comparison methods.

• 한국인터넷방송통신학회논문지
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• 제11권3호
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• pp.67-74
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• 2011

최근의 IT산업에서 스마트폰 보급이 나날이 증가함으로써, 스마트폰을 이용하여 홈 네트워크 환경에 정보가전기기인 디지털 TV, 인터넷 냉장고, DVD, 디지털 비디오, 통신기기 등 지능형 단말을 융합한 차세대 네트워크 가전제품을 지칭하는 인터넷 가전으로 발전하고 있는 추세이다. 본 논문에서는 스마트폰(안드로이드)을 이용하여 댁내 정보가전기기 제어시스템을 설계하고 구현하였다. 또한, 누구나 쉽게 접근할 수 있는 스마트폰을 이용하여 언제 어디서든지 정보가전기기를 제어하기 위한 인터페이스를 설계 및 구현하고, 이를 통해 댁내의 정보가전기기를 제어하고 모니터링 한다.

• 제어로봇시스템학회논문지
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• 제21권4호
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• pp.378-384
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• 2015

Indoor localization is becoming one of the most important technologies for smart mobile applications with different requirements from conventional outdoor location estimation algorithms. Fingerprinting location estimation techniques based on neural networks have gained increasing attention from academia due to their good generalization properties. In this paper, we propose a novel location estimation algorithm based on an ensemble of multiple neural networks. The neural network ensemble has drawn much attention in various areas where one neural network fails to resolve and classify the given data due to its' inaccuracy, incompleteness, and ambiguity. To the best of our knowledge, this work is the first to enhance the location estimation accuracy in indoor wireless environments based on a neural network ensemble using fingerprinting training data. To evaluate the effectiveness of our proposed location estimation method, we conduct the numerical experiments using the TGn channel model that was developed by the 802.11n task group for evaluating high capacity WLAN technologies in indoor environments with multiple transmit and multiple receive antennas. The numerical results show that the proposed method based on the NNE technique outperforms the conventional methods and achieves very accurate estimation results even in environments with a low number of APs.

• 동력기계공학회지
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• 제9권2호
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• pp.73-80
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• 2005

Both theoretical and experimental investigations were conducted to analyze defrosting behavior of a window heater operating in the low outdoor temperature($-20^{\circ}C$). To achieve this purpose, first a warm-chamber experiment($23^{\circ}C$) was performed to measure inner and outer surface temperature of the rear window(heated by the electric heater supplying 195 W) as functions of both time and position. Secondly, a cold chamber experiment was made to continuously record defrosting process of the frosted window. From the comparisons of the two experimental results, it was found that there was a similarity between the spatial distributions of both temperature and remaining frost. Thus, the temperature data from the warm-chamber experiments can be utilized to predict an expected zone covered with remaining frosts, and this approach can also be adopted in the inspection process in order to economically guarantee optimized performance of the window heater. Finally, an analytical model based on one-dimensional, steady-state heat transfer theories was proposed and successfully predicted the outer surface temperature of the rear window surrounded by cold air($-20^{\circ}C$) for the given operating conditions(heater power, inside and outside heat transfer coefficients, and surrounding air temperature, etc.).

• 한국환경과학회지
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• 제12권12호
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• pp.1235-1243
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• 2003

Under controlled conditions in an environmental chamber, 24 experiments were performed to compare the ability of a Variable-Air-Volume/Bypass Filtration System(VAV/BPFS) to remove indoor pollutants and to conserve energy with the ability of conventional Variable Air Volume(VAV) system. The specific conclusions of this paper were; first, the VAV/BPFS was more efficient than the VAV system in removing particulate matter, TVOC, and target VOCs. The total effective removal rate of PM for the VAV/BPFS was two times as high as that of the VAV system. The total effective removal rate of TVOC for the VAV/BPFS was 20 percent higher than that of the VAV system. Also each target VOC concentration was reduced by using the VAV/BPFS. Second, clean air delivery rate was increased by using VAV/BPFS due to additional filtration rate. Otherwise, the VAV/BPFS decreased outdoor supply air rate above 25 percent relative to the rate of VAV system. Third, total energy consumption by the VAV/BPFS was lower than that of the VAV system during the period with indoor thermal load, occupied time. The energy saving of the VAV/BPFS ranged from 11 to 16 percent. The VAV/BPFS improves indoor air quality more efficiently than the VAV system, and it reduced energy consumption. Retrofitting the VAV system with the VAV/BPFS was easy The use of VAV/BPFS is, therefore, recommended far buildings with VAV system as well as for buildings at designing stage.

• 한국전자통신학회논문지
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• 제7권4호
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• pp.733-739
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• 2012

본 논문에서는 시간과 기후에 따라 변화하는 영상의 밝기와 색상 변화에도 강건한 연기검출 알고리즘을 제안한다. 제안하는 연기검출 알고리즘은 입력영상과 배경영상의 차영상을 이용하여 후보영역을 설정하고, 후보영역 차영상의 Gaussian 혼합모델 특징 계수를 비교하여 연기를 판별한다. 시간과 기후에 대응하기 위하여 입력영상의 평균 밝기와 색상을 기준으로 후보영역 설정을 위한 임계값을 4 단계로 구분한다. 후보영역에 대한 차영상의 Gaussian 혼합모델의 밝기 평균값을 기준으로 클러스터를 정렬하고, 클러스터 간의 Gaussian 혼합모델 특징 계수를 비교하여 연기를 판별한다. 제안하는 알고리즘을 미디어전용 DSP로 구현하고 야외에 설치된 카메라의 영상에 대하여 연기검출 실험을 통하여 효율적으로 연기를 검출할 수 있음 보인다.