• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 춘계학술발표회논문집
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• pp.259-262
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• 2004

There is the case to make the image map by using color aerial photo, DEM gives the accuracy of the Ortho image. Therefore We evaluate the accuracy by digital photogrammetric system after generating the DEM of Color Aerial Image.

• Agricultural and Biosystems Engineering
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• 제3권1호
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• pp.18-28
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• 2002

Neural network based models were developed and evaluated for predicting corn yield from aerial images based on 1998 and 1994 image data. The model used images in multi-spectral bands such as R, G, B, and IR (Red, Green, Blue and Infrared). The inputs to the neural network consisted of mean and standard deviation of multispectral bands of the aerial images. Performances of several neural network architectures using back-propagation with momentum were compared. The maximum yield prediction accuracy obtained was 97.81%. The BPNN model prediction accuracy could be enhanced by using more number of observations to the model, other data transformation techniques, or by performing optical calibration of the aerial image.

• Journal of Ecology and Environment
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• 제37권4호
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• pp.327-339
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• 2014

This research includes the identification and cultivation of aerial algae from 33 sites located in Mt. Gwanggyo of Gyeonggi-do, Korea, from March 2011 to August 2012. The ecological factors of aerial algae were analyzed and a total of 29 taxa were identified in 4 phyla, 5 classes, 11 orders, 15 families, 19 genera, 28 species and 1 variety; 12 taxa of cyanophytes, 8 taxa of chrysophytes, and 9 taxa of chlorophytes were found. As for newly recorded cyanophytes of Korea, Komvophoron jovis, Microcoleus steenstrupii, and Nostoc edaphicum appeared. Komvophoron jovis, previously known to grow on rocks and boulders, appeared in soil. Microcoleus steenstrupii, reported to appear in desert soils, appeared on the wet surface of the soil after rain. Nostoc edaphicum, in symbiosis with fungi, appeared on tree bark as the lichen. Thus, there are a total of 99 reported taxa of Korean aerial algae, including 3 species that were discovered in this study.

• 미생물학회지
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• 제18권3호
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• pp.115-122
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• 1980

We have demonstrated that both L-histidine as an amino acid factor and dextrin as a carbon source were required for the glucose repression. 1% glucose was sufficient to the glucose repression of aerial mycelium formation in Streptomyces lavendulae and Streptomyces aureofacience. the synthesized medium, KK, which is lack of all orgnic nutrients except dextrin was able to induce glucose repression, but the addition of 0.003% or more L-histidiner recovers the capacity of glucose repression. 0.02% or more histidine was reuqired for glucose repression of aerial mycelium formation in the absence of dextrin. Treatments of $5{\mu}M$ ormore ethidium bromide (EtBr0 gave rise to bald mutants at high frequency in Streptomyces aureofaciens, and it is probable that the gene(s) for the function of aerial mycelium formation is linked to plasmed DNA in this species.

• 제어로봇시스템학회논문지
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• 제20권11호
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• pp.1112-1117
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• 2014

Unmanned aerial vehicles (UAVs) are a popular research topic because of a great ripple effect in the future. However, current UAV technologies cannot be applied to manual aerial vehicles without any modification. As an alternative to current UAV technology, humanoid robots are adopted as pilots. If a humanoid robot controls an aerial vehicle autonomously, not only could manual aerial vehicles be utilized as UAVs, but the humanoid robot would also be put into an environment created for humans and conduct some missions suitable for humans. Humanoid robots are also able to handle tools and equipment designed for humans. In order to prove that a humanoid robot can pilot an airplane, an experiment is performed and the results of this experiment are shown in this paper.

• 제어로봇시스템학회논문지
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• 제14권12호
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• pp.1253-1259
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• 2008

This paper presents a landing controller and guidance law for net-recovery of fixed-wing unmanned aerial vehicles. A linear quadratic controller was designed using the system identification result of the unmanned aerial vehicle. A pursuit guidance law is applied to guide the vehicle to a recovery net with imaginary landing points on the desired approach path. The landing performance of a pure pursuit guidance, a constant pseudo pursuit guidance, and a variable pseudo pursuit guidance is compared. Numerical simulation using an unmanned aerial vehicle model was performed to verify the performance of the proposed landing guidance law.

• 한국항공운항학회지
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• 제17권1호
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• pp.46-51
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• 2009

This paper presents results from field studies carried out to monitor off-target droplet movement of endosulfan insecticide applied to the Korea chestnut tree area. As a results, mean airborne drift values were recorded 25m as average from downwind of a single flight line(sample line) in mountain terrain and mean effective swath width was recorded 19.5m as average in a plain. In terms of characteristics of geography of Korea aerial application is mainly carried out in mountain terrain. The equipment, weather conditions, and appropriate aerial spray technic are required for effective aerial application. In particular, the pilot can get effective results when he only sprays with consideration of environment factors since there is much turbulence in mountain terrain. Eventually, the most effective factor of droplets drift is to estimate the local weather conditions exactly.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.110-112
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• 2003

The researchers, who seek geological and environmental information, depend on the remote sensing and aerial photographic datum from various commercial satellites and aircraft. However, the adverse weather conditions and the expensive equipment can restrict that the researcher can collect their data anywhere and any time. To allow for better flexibility, we have developed a compact, a multispectral automatic Aerial photographic system. This system's Multi-spectral camera can catch the visible (RGB) and infrared (NIR) bands (3032${\ast}$2008 pixel) image. Our system consists of a thermal infrared camera and automatic balance control, and it managed and controlled by a palm-top computer. And it includes a camera gimbals system, GPS receiver, weather sensor and etc. As a result, we have successfully tested its ability to acquire aerial photography, weather data, as well as GPS data, making it a very flexible tool for environmental data monitoring.

• Mycobiology
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• 제36권3호
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• pp.183-189
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• 2008

The production of aerial conidia of Lecanicillium lecanii 41185, a highly virulent fungus, by solid-state fermentation was studied for use as a biocontrol agent against aphids. Among several agro-industrial solid media, steamed polished rice was found to produce the highest amount of aerial conidia. The optimal conditions for aerial conidia production were determined to be a 28.5% moisture content in the rice, 25$^{\circ}C$ culture temperature, rice pH of 6.0, 75% ambient relative humidity, 4-dold seeding culture, 0.6% $KNO_3$, and 12 d of culture time. The conidia yield increased from $5.7\times10^9$ conidia/g polished rice to 18.2 $18.2\times10^9$ conidia/g polished rice following application of these optimized conditions.

• 대한원격탐사학회지
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• 제23권3호
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• pp.199-209
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• 2007

Traditionally, aerial images have been used as main sources for compiling topographic maps. In recent years, lidar data has been exploited as another type of mapping data. Regarding their performances, aerial imagery has the ability to delineate object boundaries but omits much of these boundaries during feature extraction. Lidar provides direct information about heights of object surfaces but have limitations with respect to boundary localization. Considering the characteristics of the sensors, this paper proposes an approach to extracting buildings from lidar and aerial imagery, which is based on the complementary characteristics of optical and range sensors. For detecting building regions, relationships among elevation contours are represented into directional graphs and searched for the contours corresponding to external boundaries of buildings. For generating building models, a wing model is proposed to assemble roof surface patches into a complete building model. Then, building models are projected and checked with features in aerial images. Experimental results show that the proposed approach provides an efficient and accurate way to extract building models.