• Advances in robotics research
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• v.2 no.2
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• pp.141-149
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• 2018

In image processing and robotic applications, two-dimensional (2D) black and white patterned planar markers are widely used. However, these markers are not detectable in low visibility environment and they are not changeable. This research proposes an active and adaptive marker node, which displays 2D marker patterns using light emitting diode (LED) arrays for easier recognition in the foggy or turbid underwater environments. Because each node is made to blink at a different frequency, active LED marker nodes were distinguishable from each other from a long distance without increasing the size of the marker. We expect that the proposed system can be used in various harsh conditions where the conventional marker systems are not applicable because of low visibility issues. The proposed system is still compatible with the conventional marker as the displayed patterns are identical.

• Journal of Ocean Engineering and Technology
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• v.23 no.3
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• pp.59-64
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• 2009

Bridge types such as the suspension bridges and the cable stayed bridges maintained by cables present the dangerous possibility of a ship running through the bottom of the bridge. Due to hangers and main cables in the upper structural system, the bridge is also susceptible to disasters. However, these cable bridges are usually used for long span bridges over the sea. This structure is relatively more exposed to disasters, such as wind, hail, and earthquake, than other structures. This structure also has the potential to cause car accidents on account of the poor visibility due to foggy conditions. If a fire breaks out because of a car accident due to wind, a car explosion will likely occur.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.1398-1401
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• 2004

In case the problem came into the headlight composed of a bulb, lens and reflecting mirror, it has a sealed-beam type which must exchange all and semi-sealed beam type which can exchange only bulb. The headlight of train must be used at the time of going into tunnel and atmospheric phenomena such as heavy snow, rain and foggy as a rule, also it can be used with whistle blow when the dangerous article appears. In this study, general technical specification to improve headlight of the KTX and G7 high speed train is described throughout investigation technique of the industrialized country and headlight specification of train which is on commercial service.

• Journal of Ecology and Environment
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• v.29 no.2
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• pp.171-173
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• 2006

A species of moss (Musci) is observed on the Matanuska Glacier of Alaska in the middle of summer. The life cycle of the moss is perfectly observed. This is very rare and special because the environment is completely glacial and barren of plants. Matanuska is a gigantic glacier formed about 18,000 years ago in the Palmer region near Anchorage. It has a dimension of 27 miles in length and 4 miles in width. The glacier is located in the region between Anchorage and Mount McKinley. This huge glacier carved the Matanuska valley thousands of years ago. The mighty glacier also forms the Matanuska River. The summer weather is very changeable throughout the day: warm, cold, sunshiny, windy, cloudy, rainy, snowy, foggy, etc. The Arctic clouds move very quickly and create variable climates. So there are four seasons even in one day during the summer period of this region.

• International Journal of Internet, Broadcasting and Communication
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• v.6 no.2
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• pp.20-24
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• 2014

These days the large-scale car accidents have often been occurred by overspeeding in disregard of sharp curve, foggy and freezing regions. This paper has proposed the algorithm to calculate the safety speed in real time that can protect the car accidents under these weather and road conditions using Fuzzy reasoning theory. Under raining and snowing, drivers have to slow down the traffic safety speed by 1/3 of the traffic safety speed indicated on the existing speed sign plate based on their decision. So it is difficult to calculate and then observe the safety speed. This paper has performed the simulation that provides the deivers with the optimal safety speed considering the road and weather conditions in real time to improve these problems. We have proved this method can improve more 25% than the existing one.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1998.04a
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• pp.156-162
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• 1998

The whistle is a very important information source for the safety navigation under foggy weather. But navigator has no concern about this , because it must be achieved by human hearing sense and considered as a vague signal. If the range and relative bearing of signa source can be detected automatically, it would be very useful system for preventing marine casualties making a lot of economic loss and environment pollution. Before the algorithm of 2-dimensinal sound source tracking system was reported . This paper describes the method that can obtain thetime lag between three signas and the theory of cross-correlation analysis and subtraction method for cauculating the time lag by using the digital signal data sequences. And a series of experiments were carried out for various position of sound source in the range from 200m to 530cm.

• Ceramist
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• v.21 no.2
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• pp.59-74
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• 2018

Imaging in the Short Wave Infrared (SWIR) provides several advantages over the visible and near-infrared regions: enhanced image resolution in in foggy or dusty environments, deep tissue penetration, surveillance capabilities with eye-safe lasers, assessment of food quality and safety. Commercially available SWIR imagers are fabricated by integrating expensive epitaxial grown III-V compound semiconductor sensors with Si-based readout integrated circuits(ROIC) by indium bump bonding Infrared image sensors made of solution-processed quantum dots have recently emerged as candidates for next-generation SWIR imagers. They combine ease of processing, tunable optoelectronic properties, facile integration with Si-based ROIC and good performance. Here, we review recent research and development trends of various application fields of SWIR image sensors and nano-materials capable of absorption and emission of SWIR band. With SWIR sensible nano-materials, new type of SWIR image sensor can replace current high price SWIR imagers.

• Journal of the Korean Institute of Navigation
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• v.22 no.4
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• pp.31-36
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• 1998

The whistle is a very important information source for the safety navigation under foggy weather. But navigator has no concern about this, because it must be achived by human hearing sense and considered as a vague signal. If the range and relative bearing of signal source can be detected automatically, it would be very useful system for preventing marine casualties making a lot of economic loss and environment pollution. Before the algorithm of 2-dimensional sound source tracking system was reported. This paper describes the method that can obtain the time lag between three signals and the theory of cross-correlation analysis and subtraction method for cauculating the time lag by using the digital signal data sequences. And a series of experiments were carried out for various position of sound source in the range from 200cm to 530cm. As a result, we have recognized that sound source tracking system is possible to the sea field with improvement of position error.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.463-465
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• 2008

This article describes a design and implementation of low power consumption wireless sensor network platform for intelligent motorway monitoring. There are many dangerous situations on motorway, foggy weathers, rapidly changes of temperature, etc. We designed a system for monitoring motorway environment for report dangerous situation. We introduce this system and its lowpower consumption characteristics which important to battery based system.

• Journal of Korea Multimedia Society
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• v.24 no.10
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• pp.1319-1325
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• 2021

It is important to remove fog for accurate object recognition and detection during preprocessing because images taken in foggy adverse weather suffer from poor quality of images due to scattering and absorption of light, resulting in poor performance of various vision-based applications. This paper proposes an end-to-end deep learning-based single image de-fogging method using U-Net architecture. The loss function used in the algorithm is a loss function based on Mahalanobis distance with fog features, which solves the problem of domain shifts, and demonstrates superior performance by comparing qualitative and quantitative numerical evaluations with conventional methods. We also design it to generate fog through the VGG19 loss function and use it as the next training dataset.