• The Korean Journal of Community Living Science
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• v.16 no.1
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• pp.49-58
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• 2005

The purpose of this study was to identify the eating habits and attitudes by socioeconomic factors(sex, age, educational level and annual family income) of adults in rural areas. The survey was administered by the nationwide 580 adult persons in rural in February 2001. The survey was conducted by a questionnaire that was composed of 20 items of likert-type scale. These data were analyzed by using SPSS(version 10.0) PC package and were expressed by mean and frequency. The results are following : 1) The degree of efforts to eating safe and fresh food were significantly different according to age(p<0.05), educational level(p<0.001) and annual family income(p<0.001). 2) The degree of efforts to nutritional balanced diet were significantly different by age(p<0.05) and annual family income(p<0.00l). 3) The concern about overeating of energyㆍsaltㆍfat were increased as the educational level goes up(p<0.001). 4) Meal regularity was more regular as age goes up(p<0.05). 5) Regarding for eating a variety of food were differed significantly by age(p<0.05) and educational level(p<0.01). 6) There are significantly different in duration of meal time of the subjects by sex(p<0.001), age(p<0.05) and educational level(p<0.0l). 7) Preference for snacks was significantly different by age (p<0.05) and educational level(p<0.0l). 8) There were significant differences in preference for processed foods(p<0.001) and frequency of using a chemical seasoning in cooking(p<0.05) of the subjects by educational level. 9) As the age(p<0.001) goes up and the educational level(p<0.001) and annual family income(p<0.001) goes down, they did not recognize the necessity for improving eating habits. According to these results, there were differences in eating habits between socioeconomic characteristics group in rural area. Therefore, this study can be used as basic data for specific nutritional intervention program in rural areas.

• Journal of Microbiology and Biotechnology
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• v.17 no.5
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• pp.753-760
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• 2007

The diversity of Paenibacillus species was assessed in the rhizospheres of four cultivars of sorghum sown in Cerrado soil amended with two levels of nitrogen fertilizer(12 and 120 kg/ha). Two cultivars(IS 5322-C and IS 6320) demanded the higher amount of nitrogen to grow, whereas the other two(FBS 8701-9 and IPA 1011) did not. Using the DNA extracted from the rhizospheres, a Paenibacillus-specific PCR system based on the RNA polymerase gene(rpoB) was chosen for the molecular analyses. The resulting PCR products were separated into community fingerprints by DGGE and the results showed a clear distinction between cultivars. In addition, clone libraries were generated from the rpoB fragments of two cultivars(IPA 1011 and IS 5322-C) using both fertilization conditions, and 318 selected clones were sequenced. Analyzed sequences were grouped into 14 Paenibacillus species. A greater diversity of Paenibacillus species was observed in cultivar IPA 1011 compared with cultivar IS 5322-C. Moreover, statistical analyses of the sequences showed that the bacterial diversity was more influenced by cultivar type than nitrogen fertilization, corroborating the DGGE results. Thus, the sorghum cultivar type was the overriding determinative factor that influenced the community structures of the Paenibacillus communities in the habitats investigated.

• Korean Journal of Remote Sensing
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• v.23 no.4
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• pp.297-309
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• 2007

The first Korean geostationary weather satellite, Communications, Oceanography and Meteorology Satellite (COMS) will be launched in 2008. The ground station for COMS needs to perform geometric correction to improve accuracy of satellite image data and to broadcast geometrically corrected images to users within 30 minutes after image acquisition. For such a requirement, we developed automated and fast geometric correction techniques. For this, we generated control points automatically by matching images against coastline data and by applying a robust estimation called RANSAC. We used GSHHS (Global Self-consistent Hierarchical High-resolution Shoreline) shoreline database to construct 211 landmark chips. We detected clouds within the images and applied matching to cloud-free sub images. When matching visible channels, we selected sub images located in day-time. We tested the algorithm with GOES-9 images. Control points were generated by matching channel 1 and channel 2 images of GOES against the 211 landmark chips. The RANSAC correctly removed outliers from being selected as control points. The accuracy of sensor models established using the automated control points were in the range of $1{\sim}2$ pixels. Geometric correction was performed and the performance was visually inspected by projecting coastline onto the geometrically corrected images. The total processing time for matching, RANSAC and geometric correction was around 4 minutes.

• Journal of the Korean Society of Marine Environment & Safety
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• v.12 no.1 s.24
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• pp.23-32
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• 2006

This study was conducted to find out the effects of meterological factors on oceanic conditions when cold and dry continental air mass passes through the western sea of Korea The change of ocean conditions during the winter season were more obvious in coastal area than open sea And sea surface temperature (SST) during February is lower by $3^{\circ}C$ than December but in coastal area SST dropped by $3^{\circ}C$. As for the salinity, there was not much difference between areas except southern area of Mokpo. In the coastal regions, air temperature(AT) and SST showed a positive correlation; as the air temperature goes up with the increase of SST and when the former goes down the latter decrease. SST of open sea seems to be changed by latent (Qe) and sensible heat (Qs), when the open sea lose its heat by Qe and Qs then SST goes down And when they get the heat then the SST goes up. 1here was a positive correlation between the AT of the coastal region and sea surface salinity (SSS), when the AT goes up then SSS increase and when the former goes down the latter decrease. Precipitation during the summer seasons (June$\sim$September) appeared to the more closely related with salinity of February of the following year than those of October and December.

• Journal of Korea Port Economic Association
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• v.21 no.4
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• pp.255-274
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• 2005

To acquire a port traffic, governments in North-East Asia have intensively invested port development. Furthermore, the major shipping company directly make a call at northern chinese ports like Qingdao, Dalian and Tianjin. Those changes of port environment will have a considerable effect on a port traffic in Korea. In order to prepare against those changes, it is necessary to estimate a port traffic in Korea A port traffic in Korea is estimated by the use of explanation variables like GDP of Korea, real effective exchange rate, world economic performances and the trade in China, et al. When GDP in Korea goes up 1%, it is estimated that container port traffic of all ports and Pusan Port is upward $1.0{\sim}1.2%$ and $0.8{\sim}0.9%$ respectively. When the trade in China goes up 1%, it is estimated that Container transshipment is upward $1.6{\sim}1.7%$ approximately.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.709-712
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• 2005

Ground processing for geostationary weather satellite such as GOES, MTSAT includes the process called image navigation. Image navigation means the retrieval of satellite navigational parameters from images and requires landmark detection by matching satellite images against landmark chips. For an automated preprocessing, a matching must be performed automatically. However, if match results contain errors, the accuracy of image navigation deteriorates. To overcome this problem, we propose the use of a robust estimation technique, called Random Sample Consensus (RANSAC), to automatically detect mismatches. We tested GOES-9 satellite images with 30 landmark chips. Landmark chips were extracted from the world shoreline database. To them, matching was applied and mismatch results were detected automatically by RANSAC. Results showed that all mismatches were detected correctly by RANSAC with a threshold value of 2.5 pixels.

• Proceedings of the KSRS Conference
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• 2007.03a
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• pp.70-75
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• 2007

2008년 12월에 우리나라 최초의 통신해양기상위성(Communications， Oceanography and Meteorology Satellite, COMS)이 발사될 예정이다. 통신해양기상위성의 영상데이터의 기하보정을 위하여 다음과 같은 연구를 수행하였다. 기상위성은 정지궤도상에 위치하여 전지구적인 영상을 얻는다. 영상의 전지구적인 해안선은 구름 등으로 가려져서 명확한 정보를 제공할 수 없게 된다. 구름 등으로 방해되지 않는 명확한 해안선 정보를 얻기 위하여 구름 추출을 한다. 실시간으로 기상정보를 얻는 기상위성의 특성상 정합에 전체 영상을 사용하면 수행시간이 다소 소요된다. 정합시 전체 영상에서 정합을 위한 후보점 추출을 위하여 GSHHS(Global Self-consistent Hierarchical High-resolution Shoreline)의 해안선 데이터베이스를 사용하여 211 개 의 랜드마크 칩들을 구축하였다. 이때 구축된 랜드마크 칩은 실험에 사용한 GOES-9의 위치 동경 155도를 반영하여 구축하였다. 전체 영상에서 구축된 랜드마크 칩들의 위치를 중심으로 구름추출을 수행한다. 전체 211 개의 후보점 중 구름이 제거된 나머지 후보점에 대하여 정합을 수행한다. 랜드마크 칩과 위성영상 간의 정합 중 참정합과 오정합이 존재하는데 자동으로 오정합을 검출하기 위하여 강인추정기법 (RANSAC, Random Sample Consensus)을 사용한다. 이때 자동으로 판별되어 오정합이 제거된 정합결과로 최종적인 기하보정을 수행한다. 기하보정을 위한 센서모델은 GOES-9 위성의 센서특정을 고려하여 개발되었다. 정합 및 RANSAC결과로 얻어진 기준점으로 정밀 센서모델을 수립하여 기하보정을 실시하였다. 이때 일련의 수행과정을 통신해양기상위성의 실시간 처리요구사항에 맞도록 속도를 최적화하여 진행되도록 개발하였다.

• Bulletin of the Korean Mathematical Society
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• v.51 no.3
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• pp.701-716
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• 2014

The limiting distribution for the linear placement statistics under the null hypotheses has been provided by Orban and Wolfe [9] and Kim [5] when one of the sample sizes goes to infinity, and by Kim, Lee and Wang [6] when the sample sizes of each group go to infinity simultaneously. In this paper we establish the generalized Kruskal-Wallis one-way analysis of variance for the linear placement statistics.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.34-38
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• 2000

The trend of cutting process today goes toward higher precision and higher efficiency. Many thermal/frictional troubles occur in high-speed machining of die and mold steels.In this paper, the thermal characteristics are evaluated in high sped ball end-milling of hardened steel(HRc42). Experimental work is performed on the effect of cutting environments on tool life and cutting temperature. Cutting environments involve dry, wet(20bar), compressed chilly air at -9$^{\circ}C$, compressed chilly air at -35$^{\circ}C$. The measuring technique of cutting temperature using implanted thermocouple is used. The cutting temperature is about 79$0^{\circ}C$, 35$0^{\circ}C$ and 54$0^{\circ}C$ in dry, wet and compressed chilly air at +9$^{\circ}C$, respectively. The tool life for compressed chilly air at -9$^{\circ}C$ is longer than all other cutting environments in experiment.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.37 no.1
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• pp.37-44
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• 1992

Germinability, electrophoretic variation of protein of shattered seeds during overwintering and characteristic of main agronomic traits of off-type rice plant occurring in paddy field harvested by combine were investigated. Germinability of shattered seed decreased as time goes in paddy field in both Japonica and Tongil type varieties. Electrophoretic protein bands become more and more light as time goes. Occurrence of off-type rice plant was higher in Japonica varieties than in Tongil type varieties. Off-type rice plant was shorter in plant height, leaf length, tiller number per hill, internode length, panicle length and spike let number per panicle. Germinability of seeds of off-type rice plant as not significantly different compared to the control variety. Yield of off-type plants of Japonica varieties was on average 5.1kg / 10a and that of Tongil type varieties was on average 0.9kg /10a. Mixing ratio to the control variety was about 0.7% in Japonica varieties and that of Tongil type varieties was about 0.1%.