• 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.

• Journal of Korea Multimedia Society
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• v.9 no.9
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• pp.1139-1149
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• 2006

This paper describes a novel and efficient algorithm, which extracts focused objects from still images with low depth-of-field (DOF). The algorithm unfolds into four modules. In the first module, a HOS map, in which the spatial distribution of the high-frequency components is represented, is obtained from an input low DOF image [1]. The second module finds OOI candidate by using characteristics of the HOS. Since it is possible to contain some holes in the region, the third module detects and fills them. In order to obtain an OOI, the last module gets rid of background pixels in the OOI candidate. The experimental results show that the proposed method is highly useful in various applications, such as image indexing for content-based retrieval from huge amounts of image database, image analysis for digital cameras, and video analysis for virtual reality, immersive video system, photo-realistic video scene generation and video indexing system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.10C
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• pp.975-981
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• 2007

In this paper, we propose a spatially adaptive image restoration algorithm using local and statistics and estimated noise. The ratio of local mean, variance, and maximum values with different window size is used to constrain the solution space, and these parameters are computed at each iteration step using partially restored image. In addition, the additive noise estimated from partially restored image and the local constraints are used to determine a parameter for controlling the degree of local smoothness on the solution. The resulting iterative algorithm exhibits increased convergence speed when compared to the non-adaptive algorithm. In addition, a smooth solution with a controlled degree of smoothness is obtained without a prior knowledge about the noise. Experimental results demonstrate that the proposed algorithm requires the similar iteration number to converge, but there is the improvement of SNR more than 0.2 dB comparing to the previous approach.

• Journal of Preventive Medicine and Public Health
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• v.40 no.3
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• pp.233-238
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• 2007

Objectives : We aimed to assess the relationship between long-term exposure to air pollution and lung cancer in the Republic of Korea. Methods : Using the Annual Report of Ambient Air Quality in Korea, Annual Report of National Cancer Registration, and Annual Report on the Cause of Death Statistics, we calculated the standardized mortality ratio (SMR) and standardized incidence ratio (SIR) of lung cancer for both sexes in 74 areas from 7 Korean metropolitan cities. We performed random intercept, Poisson regression using empirical Bayes method. Results : Both SMRs and SIRs in the 7 metropolitan cities were higher in women than in men. Mean SIRs were 99.0 for males and 107.0 for females. The association between $PM_{10}$ and lung cancer risk differed according to gender. $PM_{10}$ was not associated with the risk of lung cancer in males, but both incidence and mortality of lung cancer were positively associated with $PM_{10}$ in females. The estimated percentage increases in the rate of female lung cancer mortality and incidence were 27% and 65% at the highest $PM_{10}$ category $({\geq}70\;{\mu}g/m^3)$, compared to the referent category $({\geq}50\;{\mu}g/m^3)$. Conclusions : Long-term exposure to $PM_{10}$ was significantly associated with female lung cancer incidence in 7 Korean metropolitan cities. Further study is undergoing to estimate the relative risk of $PM_{10}$ using multi-level analysis for controlling individual and regional confounders such as smoking and socioeconomic position.

• Journal of Wetlands Research
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• v.13 no.2
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• pp.189-197
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• 2011

This paper reviewed application of data-driven method, distance-weighted method(IDWM, IEWM, CCWM, ANN), and radar data method estimated of missing raifall data. To evaluate these methods, statistics was compared using radar and station rainfall data from Imjin-river basin. The range of RMSE values calculated for CCWM, ANN was 1.4 to 1.79mm, and the range of RMSE values estimated data used for radar rainfall data was 0.05 to 2.26mm. Spatial characteristics is considered to Radar rainfall data rather than station rainfall data. Result suggest that estimated data used for radar data can impove estimation of missing raifall data.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.1
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• pp.75-81
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• 2008

This study purpose is an industrial complex environmental improvement and trust management organization of waste water insurance for transparency of the GIS Application a waste water trust management system about extermination plan. A industrial waste water management system is a waste water management and trust management an input device and the trust a note of confirmation for printer trust management system, of manager by time, by work, a waste water by classify, by organization the trust volume will be the statistics analyze system and trust organization of waste water spacial information and a waste water trust volume and of a waste water volume a distribution chart furnish the citizens information WebGIS system. The has be Extermination a waste water trust management system is a waste water a point of start let's solve this project is grasp. And by computerization work the a time and an economy loss reduce. Be on controling trust and a waste water is distribution controling and citizens about environmentalism will be inspiration by WebGIS.

• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.339-347
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• 2008

As a number of product information is increasing in online markets, customers can purchase products with no spatial and time problems. However, in case of an online market, since customers can't see products directly, others' reviews make a big influence to customers. Meanwhile, it is a burden to read all reviews about some products. Therefore, we need to provide refined information to customers as summarizing whole product reviews. In this paper, we explain about the product review summarization system which can provide to customers as show evaluation scores of product features. Natural Language Processing skills and computational statistics are utilized for summarization. Customers can get chances to buy a feasible product that he wants to get through this system. Moreover, Enterprises can find out the needs of customers deeply.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.4
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• pp.73-86
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• 2000

This study focused on extracting an efficient method in the fruit cropping distribution mapping with various classification methods using multi-temporal satellite images and Geographic Information Systems(GIS). For this study, multi-temporal Landsat TM images, in observation data and existing fruit cropping area statistics were used to compare and analyze the properties of fruit cropping and seasonal distribution per classification method. As a result, this study concludes that Maximum Likelihood Method with earlier autumn satellite image was most efficient for the fruit cropping mapping using Landsat TM image. In addition, it was clarified that cropping area per administrative boundary was prepared and distribution pattern was identified efficiently using GIS spatial analysis.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.2
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• pp.209-224
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• 2016

The purpose of this study are to analyze the realities and characteristics of the inflow manufacturing factories located in non-urbanized area in the Capital region, and to extract the problems from locational point of view during the last 10 years. Using the raw data of factory registration statistics from 2006 to 2015, this study has intended to show the distributional characteristics of the independently-located manufacturing factories by various mapping methods. As a result, about 90% of the factories are heavily concentrated into 10 adjacent regions to Seoul and large cities. This study carried out questionaire surveys and in-depth interview to the leaders of Janganmyeon, Hwaseong-shi which have experienced the rapid increase of manufacturing factories. The independently-located factories have caused environmental pollution, destroyed rural village landscape, and affected the negative impact of the neighborhood community. The results of this study provide some implications to establish a desirable industrial location policy of non-urban areas in Capital region.

• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.248-256
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• 2014

According to data from the national office of Statistics Korea and Ministry of Health and Welfare, as the elderly population increases, the dementia elderly population continues to increase and its future population growth rate is expected to be even faster. In particular, the Dementia Management Act has been in effect since February 2012, and active efforts has been made for a policy for the dementia management. The purpose of this study is to establish standards on building plans based on the appropriate scale and spatial configuration on facilities planning for the elderly with dementia. Specifically, the basic data were collected with a request for a total of 103 points on the basis of a database of group homes in the survey managed by the Japan Association of Group Homes. Specific information of the research includes the management body of facilities operation, scale of the facilities, number of units and configuration of personal living space, and the collected survey data and drawings were statistically proceed and analyzed using the SPSS WIN 20.0. analysis results are summarized as follows. first, most of the group homes come to the small size of the 1-2 story home ; the approximate number of units is one or two per home, and each unit consists of nine rooms. second, a number of group homes with the building area of $300m^2$ have the U-shaped arrangement which is advantageous in the extension and facilities maintenance. In conclusion, this study is to be the fundamental data for judgments that can be used to establish standards for the facilities for the dementia elderly whose population continues to increase. In addition, further study is necessary to establish suitable design conditions of our country.