• Journal of Technology Innovation
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• v.21 no.1
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• pp.85-108
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• 2013

This paper introduces a new qualitative measurement indicator, Relatively Rank-normalized Impact Factor ($R^2nIF$) that can overcome drawbacks of the existing research performance measures. With the help of this innovative indicator, this study analyzes and compares the quality of research papers across countries and National Science Indicators (NSI) standard academic fields. The development of an improved bibliometric indicator for evaluating the quality of research papers and disentangling the "international" dimension of research performance will be of interest to academics and practitioners alike.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.141-163
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• 2013

As the importance of biotechnology has been increased as a growth engine for country, most countries get focused on securing technological competitiveness in the field of biotechnology. Under the fierce global competition, it is very important to identify technological competitiveness of Korea and our neighboring countries in order to carry out effective research and development. Expert opinion survey such as Delphi is mainly conducted to analyze the technological competitiveness, but the method based on experts' intuition may produce different results depending on survey respondents due to the strong subjective inclination. In this study, the patent registered in US was utilized to analyze the technological competitiveness based on objective data. Targeting countries were Korea, China and Japan which were leading nations in the Northeast Asia. As analytical indexes, NP(Number of Patents), CPP(Cites per Patent), PII(Patent Impact Index), TS(Technology Strength), TI(Technology Independence), PFS(Patent Family Size) were used for analysis. Moreover, the industrial linkage with biotechnology was analyzed by matching IPC code of patents with 44 industries. Based on this analysis, technological convergence and utilization were quantified. The findings can be utilized as basic data when policy is established to improve technological competitiveness in the field of biotechnology.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.53 no.4
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• pp.388-393
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• 2008

Earth observation satellite imagery having medium-resolution can provide the useful information very rapidly and cheaply. The objective of this study was to assess the feasibility for monitoring rice growth and yield using medium resolution satellite imagery at Seosan AB reclaimed area, Chung-nam province. Using the LANDSAT imagery at booting stage ($29^{th}$ July 2004), $NDVI_R$ had the most significant linear relationships with rice yield of Seosan AB reclaimed area with the correlation coefficient (r) as 0.68. Therefore, this relationship was established as rice yield equation as function of $NDVI_R$, where excluding the 10 small area having low number of pixel, the determination coefficient ($R^2$) of the linear regression between NDVIred and milled rice yield was improved to 0.66. In addition, raster masking method, which was easier and faster even if a little unaccurate than preexisting method, was established for extracting information paddy field zone. Adaptability of rice yield equation function of $NDVI_R$ on year and region was investigated using rice yield and $NDVI_R$ values, which were extracted with raster masking method, from 7 counties or cities, Kyeong-ki province in 2005. Relationship between observed and calculated rice yield showed 1:1 line indicating that the adaptability was admitted.

• Journal of Information Management
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• v.40 no.1
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• pp.69-86
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• 2009

The biggest paradigm of the latest telecommunications is ubiquitous computing. It is a technology basis to realize ubiquitous society that would affect social, economical and cultural industries with positive influence. However, there is a simultaneous concern that the approach to ubiquitous society may violate one's privacy. Therefore, the existence of legal and technological regulation would be the biggest obstacle in further RFID technology and industry dissemination. Also, in business side, they must invest with enormous expense and technology if technological method is only approached for the solution. As in the research, 8 RFID applications, application process and inspection items and 85 appraisal list of "An impact assessment for the privacy protection in RFID applications" developed by P. K. Han(2006), will be used as an indicator to measure RFID privacy impact assessment. In addition, it is to develop RFID privacy impact assessment index by applying objective data with survey of applied specialists. This would provide a data with feasibility and reliability to RFID related companies and able to utilize policy making on RFID private data. In addition, it is expected to contribute as an efficiency tool for individual data to build basis of ubiquitous society.

• Korea journal of population studies
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• v.31 no.1
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• pp.1-26
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• 2008

This research examines the effect of area level characteristics on individual health, particularly focusing on the vulnerable populations in Seoul. We consider adult individuals whose family income is under 1.5 million won, who are aged 65 and over, or who have neither spouse nor job but aged 40 and over as vulnerable populations. Using the 2005 Seoul Citizens' Health Interview Survey, we conducted multilevel analyses to simultaneously investigate the effect of area and individual level characteristics on health. Between-area variance of self-rated health status was greater for the elderly population than for all populations. Area material deprivation index and happiness index were associated with the self-rated health of economically disadvantaged populations. Vulnerable populations showed greater between-area variances in emotional health than the same for all populations. Area happiness index, material deprivation index, the proportion of households below poverty line and street safety showed statistically significant association with emotional health. The effect of area characteristics were particularly salient for the emotional health of elderly population and its between area variance was also notable.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.4
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• pp.211-221
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• 2021

The Rabbit grass(Trifolium Repens, call it 'Clover') is a representative harmful plant of lawn, and it starts growing earlier than lawn, forming a water pipe on top of the lawn and hindering the photosynthesis and growth of the lawn. As a result, in competition between lawn and clover, clover territory spreads, but lawn is damaged and dried up. Damage to the affected lawn area will accelerate during the rainy season as well as during the plant's rear stage, spreading the area where soil is exposed. Therefore, the restoration of damaged lawn is causing psychological stress and a lot of economic burden. The purpose of this study is to distinguish clover which is a representative harmful plant on lawn, to identify the distribution of damaged areas due to the spread of clover, and to review of changes in vegetation before and after the eradication of clover. For this purpose, a time series analysis of three vegetation indices calculated based on images of convergence Drone with RGB(Red Green Blue) and BG-NIR(Near Infra Red)sensors was reviewed to identify the separation between lawn and clover for selective eradication, and the distribution of damaged lawn for recovery plan. In particular, examined timeseries changes in the ecology of clover before and after the weed-whacking by manual and brush cutter. And also, the method of distinguishing lawn from clover was explored during the mid-year period of growth of the two plants. This study shows that the time series analysis of the MGRVI(Modified Green-Red Vegetation Index), NDVI(Normalized Difference Vegetation Index), and MSAVI(Modified Soil Adjusted Vegetation Index) indices of drone-based RGB and BG-NIR images according to the growth characteristics between lawn and clover can confirm the availability of change trends after lawn damage and clover eradication.

• Korean Journal of Remote Sensing
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• v.37 no.6_3
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• pp.1975-1984
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• 2021

Urban expansion results in raising the temperature in the city, which can cause social, economic and physical damage. In order to prevent the urban heat island and reduce the urban land surface temperature, it is important to quantify the cooling effect of the features of the urban space. Therefore, in order to understand the relationship between each object of land cover and the land surface temperature in Seoul, the land cover map was classified into 6 classes. And the correlation and multiple regression analysis between land surface temperature and the area of objects, perimeter/area, and normalized difference vegetation index was analyzed. As a result of the analysis, the normalized difference vegetation index showed a high correlation with the land surface temperature. Also, in multiple regression analysis, the normalized difference vegetation index exerted a higher influence on the land surface temperature prediction than other coefficients. However, the explanatory power of the derived models as a result of multiple regression analysis was low. In the future, if continuous monitoring is performed using high-resolution MIR Image from KOMPSAT-3A, it will be possible to improve the explanatory power of the model. By utilizing the relationship between such various land cover types considering vegetation vitality of green areas with that of land surface temperature within urban spaces for urban planning, it is expected to contribute in reducing the land surface temperature in urban spaces.

• Communications for Statistical Applications and Methods
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• v.18 no.1
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• pp.119-130
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• 2011

This paper measures and analyzes the performance of insurance companies in Korea in respect to sustainable development and suggest strategic implications based on the analysis. The correlation, regression, ANOVA, and t-test are employed. The results of this study are summarized as follows. First, it shows tat social index is important in the life insurance industry; however, the environmental index, is important in the non-life insurance industry. Second, the result gained by regressing the size and financial soundness on the performance of sustainable development demonstrates that the size variable is statistically significant. It suggests that size is a necessary condition for sustainable development. Finally, ANOVA shows that the small and medium sized companies have a significantly poor performance compared to the large companies concerning the social index and reputation index in the life insurance industry. The small and medium sized companies in the non-life insurance industry exhibit a significantly poor performance compared to the large companies in respect to all the indexes, except for the social index. Therefore, the small and medium sized companies make every endeavor in the poor indexes to improve performance.

• ANNALS OF ANIMAL RESOURCE SCIENCES
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• v.29 no.4
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• pp.142-149
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• 2018

In this study, 844 Hanwoo proven bulls in South Korea (called KPN) were classified into 8 groups based on their birth year. Microsatellite (MS) marker information for paternity identification of each individual is provided at the homepage of the National Agricultural Cooperation Federation, Korea (NACF) and is mainly for the analysis of genetic diversity and structural changes. The polymorphism analysis of KPN whole groups revealed the average number of alleles in each marker (number of alleles), the expected heterozygosity ($H_{ex}$), the observed heterozygosity ($H_{ob}$), the polymorphism information content (PIC) and the $F_{is}$ mean as 10.54, 0.764, 0.773, 0.727 and -0.014, respectively. For group D, with the birth year 2004-2005, the $H_{ex}$ and $H_{ob}$ were 0.777 and 0.792 respectively and the PIC was 0.740. The $H_{ex}$ of group C and D, with birth years 2003-2004 and 2007-2008, respectively, were greater than $H_{ob}$. In all the other groups, $H_{ob}$ was greater than $H_{ex}$. Genetic composition and structure were analyzed using STRUCTURE software. According to the analyzed results, the generation of Hanwoo groups showed changes in specific genetic components according to the flow. It was confirmed that the continuous improvement in the Hanwoo affects the genetic structure of the proven bulls group. The results of this study are expected to be used for enhancing the efficiency of Hanwoo improvement project.

• Communications for Statistical Applications and Methods
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• v.17 no.5
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• pp.697-712
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• 2010

This paper is concerned with the statistical analysis and development of stochastic models for the demand for life insurance policy loans. For these, firstly the characteristics of the regression trend, periodicity and dependence of the monthly demand for life insurance policy loans are investigated by a statistical analysis of the monthly demand data for the years 1999 through 2008. Secondly, the causal relationships between the demand for life insurance policy loans and the economic variables including unemployment rate and inflation rate for the period are investigated. The results show that inflation rate is main factor influencing policy loan demands. The overall evidence, however, failed to establish unidirectional causality relationships between the demand series and the other variables under study. Finally, based on these, univariate time series model and transfer function model where the demand series is related to one input series are derived, respectively, for the prediction of the demand for life insurance policy loans. A statistical procedure for using the model to predict the demand for life insurance policy loans is also proposed.