• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.94-102
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• 2010

These days the land category is the most specific basis of legal for land use or land use form that is determined by the main use of land. Even if same land building site, it is used very various like a detached house, a row house, a multiplex house, a villa, an apartment, a mixed-use Apartments, commercial building, fallow land etc. There is a need of variety analysis in order to apply greenhouse gas emission or statistics assessment for standard of classification. Therefore, This study measured carbon dioxide by for different government agencies of maps by land use time, season, elevation, space, area of floating population. As a result, The emission characteristic was high l.78 times, on average of l.35 times in winter compared with summer, when the temperatures increased 11C, the carbon dioxide is 22ppm high in the afternoon, A commercial building is high 4.04 times compare with detached house.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.1
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• pp.75.1-75.1
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• 2012

We have observed the part of the second quadrant of the Galactic Plane in $^{13}CO(1-0)$ using the multibeam receiver system installed on the 14 m telescope at Taeduk Radio Astronomy Observatory. The target region (L=108 to 112.5) is the part of the $^{12}CO$ Outer Galactic Plane Survey (Heyer et al. 1998), and it is for the exact Galactic plane with the latitude range of +1 and -1 degree. Total of 48,000 spectra (about 9 square degees) were obtained on 50" grid. The selected velocity resolution is 0.63 km/sec and sensitivity per channel is 0.17 K, and the covered velocity is 320 km/sec. We developed a new reduction method, which effectively deals with a relatively noisy 3-dimensional database. The collected $^{13}CO$ database will be manipulated with pre-existing $^{12}CO$ data to get several physical parameters. As it is located in the second quadrant, the kinematic distances of the individual clouds, which will be identified, can be estimated relatively easily without any distance ambiguity. In this meeting we present the reduction method, statistics, and some channel maps, integrated intensity maps, and spatial-velocity maps. We intend to clarify any difference of their characteristics between the clouds in the Outer Galaxy and Inner Galaxy using our data base.

• Fire Science and Engineering
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• v.25 no.5
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• pp.39-46
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• 2011

In order to consider the prevention countermeasure to the occurrence of forest fires, analysing characteristic of the past forest fire data is needed. This research analyzed distribution and characteristics of forest fires damage over 30 ha based on statistics data of forest fires in Korea between 1975 and 2010. As a result, the number of forest fires damage over 30 ha as 23 was most occurred in 1978. Forest fires show an upward tendency from 1970 to 2000. Forest fires of 30 ha~50 ha damaged area was most occurred. Forest fire in Gangwon province was occurred as the number of total 66 (37.0 %). Gangwon province was superior in point density analysis. The number of forest fire occurrence over 30 ha was most high to 114 (63.0 %) in April and to 44 (24.3 %) in Sunday. The occurrence number of forest fire and damage caused by forest fire is increasing more and more since 1975, appropriate authorities can use effectively in devising policy for forest fire prevention from this result.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6795-6798
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• 2015

Breast cancer incidence and mortality in Kazakhstan are considered to be increasing but exact statistics have hitherto been lacking. The present study was therefore undertaken to retrospectively assess data for the whole country, accessed from the central registration office, for the period 1999-2013. Age standardized data for incidence and mortality were generated and compared across age groups. It was determined that during the studied period 45,891 new cases of breast cancer were registered and 20,122 women died of this pathology. Average breast cancer incidence and mortality were $37.9{\pm}1.10/10^5$ and $16.7{\pm}0.20/10^5$ respectively, and the overall ratio of mortality/incidence (M/I) was 0.44. Incidence tended to increase (T = + 2.3%), and mortality to decrease (T of =-0.3%). Peaks of incidence and mortality were noted in those aged 60-74 years and 75-84, respectively. Particularly high incidences were established in large cities of Kazakhstan, Astana ($46.8{\pm}1.80/10^5$) and Almaty ($49.7{\pm}1.30/10^5$), and high mortality was observed in the Pavlodar region ($17.9{\pm}0.60/10^5$) and Almaty city ($20.1{\pm}0.40/10^5$). Considerable variation in the mortality/incidence ratio was noted, suggesting the need for more stress on access to screening and clinical care in some regions of the country.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1107-1116
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• 2016

Recent astronomical survey observations have produced substantial amounts of data as well as completely changed conventional methods of analyzing astronomical data. Both classical statistical inference and modern machine learning methods have been used in every step of data analysis that range from data calibration to inferences of physical models. We are seeing the growing popularity of using machine learning methods in classical problems of astronomical data analysis due to low-cost data acquisition using cheap large-scale detectors and fast computer networks that enable us to share large volumes of data. It is common to consider the effects of inhomogeneous spatial and temporal coverage in the analysis of big astronomical data. The growing size of the data requires us to use parallel distributed computing environments as well as machine learning algorithms. Distributed data analysis systems have not been adopted widely for the general analysis of massive astronomical data. Gathering adequate training data is expensive in observation and learning data are generally collected from multiple data sources in astronomy; therefore, semi-supervised and ensemble machine learning methods will become important for the analysis of big astronomical data.

• The Bulletin of The Korean Astronomical Society
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• v.42 no.1
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• pp.54.1-54.1
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• 2017

The UKIRT Wide-field Infrared survey for Fe+(UWIFE) is an unbiased survey of the first Galactic quadrant, with narrow-band filter centered on $1.644{\mu}m$. This survey covers $7^{\circ}$ < l < $62^{\circ}$ and |b| < $1.5^{\circ}$, where active interaction of stars and interstellar medium is expected. With median seeing of 0.8 arcsec, 5 - sigma detection limit of 18.7 mag and surface brightness limit of $8.1{\times}10^{-20}W\;m^{-2}arcsec^{-2}$, this survey gives an opportunity to statistically study Galactic [Fe II] - emitting sources for the first time. In order to identify Ionized Fe Objects (IFOs) in survey area systematically, we conducted visual inspection and automatic detection simultaneously. Total of ~300 extended IFOs are identified, most of them are found out to be part of supernova remnants (SNRs), young stellar objects, HII regions and planetary nebulae. The majority of IFOs are new discoveries which reveal shocked structures in high-extinction region. Spatial distribution of IFOs suggest that they trace Galactic structure. As a part of spectroscopic follow-up, we observed SNR candidate IFO J183740.829-061452.41 with IGRINS (Immersion Grating Infrared Spectrograph, Yuk+2010), mounted on 2.7m Harlan Smith telescope. This unknown arc-like, 6'-long IFO is coincident with inner part of radio continuum loop G25.8+0.2, which has been known as HII region. However, interior of this radio shell is filled with diffuse soft X-ray emission, and possible association of hard X-ray pulsar / pulsar wind nebula makes the nature of the IFO unclear. The H and K-band 2D spectrum shows shock-ionized [Fe II] filaments, which is apart from photoionized HII filaments. In this presentation we present basic statistics of newly identified IFOs, as well as the follow-up study of IFO J183740.829-061452.41.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1279-1290
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• 2017

R's {shiny} package provides an environment for creating web applications with only R scripts. Shiny does not require knowledge of a separate web programming language and its development is very easy and straightforward. In addition, Shiny has a variety of extensibility, and its functions are expanding day by day. Therefore, the presentation of high-quality results is an excellent tool for R-based analysts. In this paper, we present actual cases of large data analysis using Shiny. First, geological anomaly zone is extracted by analyzing topographical data expressed in the form of contour lines by analysis related to spatial data. Next, we will construct a model to predict major diseases by 16 cities and provinces nationwide using weather, environment, and social media information. In this process, we want to show that Shiny is very effective for data visualization and analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.6
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• pp.1093-1099
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• 2016

Currently, there are 499 metropolitan subway stations in Korea, but there are not many studies on the influence zone of linkage between railway station and public transport. Existing studies have been studied almost in terms of accessibility.. In addition, the existing research on the influence zone of linkage using survey data and statistics, there is a limit to the theoretical basis and analysis techniques. In this paper, we propose a new method to select on the influence zone of linkage, It is a GIS analysis technique using the spatial data of the railway station user as the large data of the traffic card. We applied the GIS analysis technique for select the influence zone of linkage based on the travel time of the network for each public transportation system. As a result, it was confirmed that the influence of the link of 15 minutes on the local bus, 20 minutes on the city bus and 25 minutes on the intercity bus were clearly distinguished according to the difference in network access time.

• Journal of Korean Society for Geospatial Information Science
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• v.6 no.2 s.12
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• pp.35-44
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• 1998

Road guide sign is one of important traffic facility, which guides a driver a direction to go. A road is being newly built and/or an existing road can be temporarily closed very often at metropolitan area. Such information has to be linked to a road guide sign and to be updated in time. Otherwise, it might cause not only confusion to a driver but also traffic accident and/or traffic congestion. However, road guide signs are not properly managed at this time since the amounts of information are huge and they are being managed through paper maps manually. A decision-making framework has been developed to manage a variety of information of road guide signs based on the concept of GIS(Geographic Information Systems). Especially, it is designed on the fact that the existing national digital base maps under the NGIS(National Geographic Information Systems) program can be utilized. This framework has several functions such as the manipulation of statistics, landmark linkages along the selected traffic corridor and automatic design of signboard's content. This system is applied to the Kangnam district in Seoul Metropolitan area (SMA) for a case study.

• Atmosphere
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• v.19 no.2
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• pp.213-226
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• 2009

In order to investigate the characteristics of Changma over the Korean peninsula, KEOP-2007 IOP (Intensive Observing Period) was conducted from 15 June 2007 to 15 July 2007. KEOP-2007 IOP is high spatial and temporal radiosonde observations (RAOB) which consisted of three special stations (Munsan, Haenam, and Ieodo) from National Institute of Meteorological Research, five operational stations (Sokcho, Baengnyeongdo, Pohang, Heuksando, and Gosan) from Korea Meteorological Administration (KMA), and two operational stations (Osan and Gwangju) from Korean Air Force (KAF) using four different types of radiosonde sensors. The error statistics of the sensor of radiosonde were investigated using quality control check. The minimum and maximum error frequency appears at the sensor of RS92-SGP and RS1524L respectively. The error frequency of DFM-06 tends to increase below 200 hPa but RS80-15L and RS1524L show vice versa. Especially, the error frequency of RS1524L tends to increase rapidly over 200 hPa. Systematic biases of radiosonde show warm biases in case of temperature and dry biases in case of relative humidity compared with ECMWF (European Center for Medium-Range Weather Forecast) analysis data and precipitable water vapor from GPS. The maximum and minimum values of systematic bias appear at the sensor of DFM-06 and RS92-SGP in case of temperature and RS80-15L and DFM-06 in case of relative humidity. The systematic warm and dry biases at all sensors tend to increase during daytime than nighttime because air temperature around sensor increases from the solar heating during daytime. Systematic biases of radiosonde are affected by the sensor type and the height of the sun but random errors are more correlated with the moisture conditions at each observation station.