• Journal of the Institute of Electronics Engineers of Korea SC
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• v.43 no.2 s.308
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• pp.33-39
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• 2006

This paper designed the electronic circuit part of Potable Infrared Night Vision Scope for a small size, light weight, and low power. Designed electronic circuit part is composed of an Auto Voltage Selecting Module, and a Power Supply Module. An Auto Voltage Selecting Modulo is composed of a switch, a battery, a step up voltage part, and a selecting voltage part. A Power Supply Module is composed of a high luminous sensing part, a battery voltage sensing part, a infrared illumination part, a connection sensing part, and a power control part. And this module controls the power of Image Intensifier Tube. To verify the performance of the designed electronic circuit part, we experimented the consumption power and continuous using time. Experimental results show that the designed electronic circuit part improves considerably on the performance of the AN/PVS-14. performance.

• Atmosphere
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• v.28 no.3
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• pp.317-324
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• 2018

In this study, we review the ground-based whole-sky camera (WSC), which is developed to continuously capture day and night cloud images using the illumination data from a precision Lightmeter with a high temporal resolution. The WSC is combined with a precision Lightmeter developed in IYA (International Year of Astronomy) for analysis of an artificial light pollution at night and a DSLR camera equipped with a fish-eye lens widely applied in observational astronomy. The WSC is designed to adjust the shutter speed and ISO of the equipped camera according to illumination data in order to stably capture cloud images. And Raspberry Pi is applied to control automatically the related process of taking cloud and sky images every minute under various conditions depending on illumination data from Lightmeter for 24 hours. In addition, it is utilized to post-process and store the cloud images and to upload the data to web page in real time. Finally, we check the technical possibility of the method to observe the cloud distribution (cover, type, height) quantitatively and objectively by the optical system, through analysis of the captured cloud images from the developed device.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.5
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• pp.311-317
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• 2011

The blind spot is an area where drivers visibility does not reach. When drivers change a lane to adjacent lane, they need to give an attention because of the blind spot. If drivers try to change lane without notice of vehicle approaching in the blind spot, it causes a reason to have a car accident. This paper proposes a night-time blind spot vehicle detection using cameras. At nighttime, head-lights are used as characteristics to detect vehicles. Candidates of headlight are selected by high luminance feature and then shape filter and kalman filter are employed to remove other noisy blobs having similar luminance to head-lights. In addition, vehicle position is estimated from detected head-light, using virtual center line represented by approximated the first order linear equation. Experiments show that proposed method has relatively high detection porformance in clear weather independent to the road types, but has not sufficient performance in rainy weather because of various ground reflectors.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.888-896
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• 2018

In this paper, we report detection and recognition of vehicle logo from images captured from street CCTV. Image data includes both the front and rear view of the vehicles. The proposed method is a two-step process which combines image preprocessing and faster region-based convolutional neural network (R-CNN) for logo recognition. Without preprocessing, faster R-CNN accuracy is high only if the image quality is good. The proposed system is focusing on street CCTV camera where image quality is different from a front facing camera. Using perspective transformation the top view images are transformed into front view images. In this system, the detection and accuracy are much higher as compared to the existing algorithm. As a result of the experiment, on day data the detection and recognition rate is improved by 2% and night data, detection rate improved by 14%.

• Journal of the Korea Society of Computer and Information
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• v.20 no.12
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• pp.29-36
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• 2015

In this paper, we propose the horizontal line detection using the Haar-like features and linear regression in infrared images. In the marine environment horizon image is very useful information on a variety of systems. In the proposed method Haar-like features it was noted that the standard deviation be calculated in real time on a static area. Based on the pixel position, calculating the standard deviation of the around area in real time and, if the reaction is to filter out the largest pixel can get the energy map of the area containing the straight horizontal line. In order to select a horizontal line of pixels from the energy map, we applied the linear regression, calculating a linear fit to the transverse horizontal line across the image to select the candidate optimal horizontal. The proposed method was carried out in a horizontal line detecting real infrared image experiment for day and night, it was confirmed the excellent detection results than the legacy methods.

• Korean Journal of Remote Sensing
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• v.35 no.2
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• pp.265-278
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• 2019

Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) data help to enable rapid emergency responses through detection of the artificial and natural disasters occurring at night. The DNB data without correction of lunar irradiance effect distributed by Korea Ocean Science Center (KOSC) has advantage for rapid change detection because of direct receiving. In this study, radiance differences according to the phase of the moon was analyzed for urban and mountain areas in Korean Peninsula using the DNB data directly receiving to KOSC. Lunar irradiance correction algorithm was proposed for the change detection. Relative correction was performed by regression analysis between the selected pixels considering the land cover classification in the reference DNB image during the new moon and the input DNB image. As a result of daily difference image analysis, the brightness value change in urban area and mountain area was ${\pm}30$ radiance and below ${\pm}1$ radiance respectively. The object based change detection was performed after the extraction of the main object of interest based on the average image of time series data in order to reduce the matching and geometric error between DNB images. The changes in brightness occurring in mountainous areas were effectively detected after the calibration of lunar irradiance effect, and it showed that the developed technology could be used for real time change detection.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.25 no.4
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• pp.7-15
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• 2011

Based on the master plan, this study classified Wonju-si into five major regions and 19 areas by analyzing its night characteristics and deduced problems by analyzing quantitative light distribution of major points at the regions and areas through the measurement of illuminance and luminance and by surveying people's awareness. To develop eco-friendly night environment image of Wonju, Woju's identify was to be created by the planning for the 19 area and improvements for each type. Additionally, detailed items for maintenance were suggested by classifying them into illuminance, color temperature, luminance, lighting display, lighting time, light distribution type, and so forth.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.05a
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• pp.129-132
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• 2005

Outdoor lighting is an important factor of urban scape. As a night image of the city, outdoor lighting acts important roles. Cities of developed countries have already had night images of their cites. About this, government is encouraging outdoor lighting of building by various ways. However, in present, outdoor lighting of headquarter buildings was not activated more than that of public buildings in our country. From this point of view, this paper presents a method to measure outdoor lighting effects as quantitative aspects for outdoor lighting activation. Presented the method of outdoor lighting effects is difficult to apply all buildings. Therefore, this paper limits the target to the headquarter buildings.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.11a
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• pp.173-178
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• 2005

Outdoor lighting is an important factor of the urban scape. As a night image of the city, outdoor lighting acts important roles. Cities of developed countries have already had there own night images. Regarding this, government encourages outdoor lighting of building by various ways to building owners. However, in present, owners of private buildings have not been up and coming about outdoor lighting more than those of public buildings in our country. From this point of view, this paper suggests a quantification method for economic effects of outdoor lighting and analyzes economic effects of outdoor lighting in advertising. A suggested measurement method of economic effects is difficult to measure all economic effects of outdoor lighting. Therefore, this measurement method limits the target to the private buildings.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2009.05a
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• pp.6-9
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• 2009

The landscape lighting plays a big part in making nights in cities more pleasant safe, comfortable. The study aims at improving the urbanscape by creating the landscape lighting of Shin-cheon, which is one of the representative landmarks in Daegu, runs through the City Waterfront. For the purpose, the analysis is carried on the current condition of Shin-cheon. As a result to improve the landscape of the City Waterfront at night by creating or improving landscape lighting, new lighting concept lighting source, lighting location are suggested. Furthermore, the oration of unique image using computer program is proposed.