• Journal of Environmental Impact Assessment
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• v.11 no.4
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• pp.289-309
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• 2002

Solutions of many landscape problems depend on area-wide assessment and interpretation of spatial and physical characteristics over the study area. The authors argue that the public awareness for an area-wide urban landscape appears to be very low due to limited chance to the information. Acknowledging these constraints, an operational, user-friendly information system has been developed by combining internet technology with GIS. In particular, integration among satellite data and digital maps takes advantage of each component, and enables the landscape structure to be visualized, interacted with and deployed all on the Web. The 1m resolution IKONOS data realistically identified the major type of landscape by large scale spatial precision while TM data revealed successfully the major parameters that influence an area-wide spatial structure in the study area. This system would play a crucial role in improving the public awareness for area-wide landscape information if it is operationally introduced into the Government since the highly user-friendly interface based on image maps provides a completely new means for disseminating information for area-wide landscape in a visual and interactive manner to the general public.

• Journal of Korean Society of Disaster and Security
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• v.5 no.2
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• pp.43-48
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• 2012

As the major information communication infrastructure had been getting more important, 'Act on the Protection of Information and Communications Infrastructure'(APICI) was legislated in Korea 2001. Consequently, the major information system, nationwide monitering service systems and government administration operation & management systems have been registered and managed under the APICI. The authorized organizations related to above service and system, perform vulnerability analysis and evaluation for chief communication infrastructures by themselves or registered agencies. In this research, we propose an advanced model for vulnerability analysis and evaluation and apply it to the main information and communication infrastructures through the case study. We hope each related organization could apply this model for analysis and evaluation of vulnerability in these infrastructures.

• Journal of Information Technology Applications and Management
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• v.28 no.4
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• pp.79-101
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• 2021

The purpose of this research is to define detailed technologies of smart city based on excellent patents through patent analysis related to major technologies of smart city, and to use quantitative indicators to classify relatively high technology importance and identify related technologies. To achieve the purpose of the study, patent collection is conducted by reflecting literature research and expert opinions based on information related to the smart city Internet of Things/Internet of Things communication core technology. Also, DEA were used to determine the relatively high technology. The inputs and outputs used in the study used quantitative indicators to determine technical value and made up of impact assessment, performance assessment and value assessment. As a result of the analysis, various technology groups were classified into smart city-related platform technologies, information sharing technologies, and network-related technologies, and based on the results of this research, it is expected that it will be able to apply technology patents related to smart cities to research and development strategies through key detailed technologies by major technologies of Smart City.

• Korean Security Journal
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• no.21
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• pp.19-33
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• 2009

This study attempted to investigate the effect of class satisfaction of the students majoring in the studies of security services on the efficacy of career decision. To do this, I chose 430 security services of the students majoring by the systematic stratified cluster random sampling as the subject of study. All data were analyzed the causal relationship of the collected equation. In order to do a data analysis used descriptive statistics analysis, t-test, one-way ANOVA and multiple regression analysis of SPSS. As a result, the following conclusion was drawn: First, it was found that there was not a statistically significant(learning factor, interpersonal relation, aptitude factor) difference in their major class satisfaction and career decision efficacy(goal choice, future plan, working information) according to gender. Second, it was found that there was a statistically signifiant difference in such factors as learning, interpersonal relations and aptitude, in relation to the difference in subfactor such as major class satisfaction and career decision efficacy. Third, it was found that the learning, aptitude and career factors of major class satisfaction had a statistically significant effect on the future plan. Fourth, it was found that he learning and career factors of major class satisfaction had a statistically significant effect on the resolution of the goal. Fifth, it was found that the aptitude and career factors of major class satisfaction had a statistically significant effect on job information. Sixth, it was found that the career factors of major class satisfaction had a statistically significant effect on the problem-solution. Therefore, we must first give priority to improve the class satisfaction. By doing this, we can raise the efficacy level of career decision.

• Korean Journal of Biological Psychiatry
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• v.7 no.2
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• pp.147-151
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• 2000

Objective : Major depression is known to have immunologic dysfunctions, the recent studies revealed that cytokines including IL-6 and IL-$1{\beta}$ were increased in patients with major depression. Since molecular genetic methods have been progressed, this study was to investigate the relationship between major depression and immunologic aspects by analyzing polymorphism of IL-10 gene. Method : 92 patients with major depression were included and data of 146 normal controls obtained from the Catholic Hemopoietic Stem Cell Information Bank of Korea were used in this study. DNA was extracted from whole blood, thereafter amplified by polymerase chain reaction, and digested by Mae III After that procedure, we obtained and assessed RFLP of two alleles, IL-10T and IL-10C. All data were analyzed by ${\chi}^2$ test. Results : 1) There were no significant difference in genotype frequencies of $IL-10^*T/T$, $IL-10^*T/C$, and $IL-10^*C/C$ between major depression patients group and control group. 2) There were no significant difference in allelic frequencies of $IL-10^*T$ and $IL-10^*C$ between major depression patients group and control group. Conclusion : We did not verified the differences in frequencies of $IL-10^*T/^*IL-10^*C$ gene between the major depression patients group and control group, respectively. But the results of this study do not declare that the IL-10 gene has no association with major depression. We do suggest that further systematic studies including various clinical variables should be conducted.

• 한국IT서비스학회:학술대회논문집
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• 2008.05a
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• pp.567-571
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• 2008

As computer technology grows, the risk of personal information leak on the internet is also increasing. A so-called "cookie" is used as one of the ways personal information leaks. A cookie offers convenience on the internet but serves as a major reason for personal information leakage at the same time. In this paper, we discuss risks and potential managements of a cookie.

• Korean Journal of Remote Sensing
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• v.35 no.6_3
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• pp.1187-1195
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• 2019

We, for the first time, developed a Raman lidar system which can remotely detect surface CO₂ volume mixing ratio (VMR). The Raman lidar system consists of the Nd: YAG laser of wavelength 355 nm with 80 mJ, an optical receiver, and detectors. Indoor CO₂ cell measurements show that the accuracy of the Raman lidar system is calculated to be 99.89%. We carried out the field measurement using our Raman lidar at Pukyong National University over a seven-day period in October 2019. The results show good agreement between CO₂ VMRs measured by the Raman lidar (CO₂ Raman Lidar) and those measured by in situ instruments (CO₂ In situ) which located 300 m and 350 m away from the Raman lidar system. The correlation coefficient (R), mean absolute error (MAE), and root mean square error (RMSE) between CO₂ In situ and CO₂ Raman Lidar are 0.67, 2.78 ppm, and 3.26 ppm, respectively.

• Korean Journal of Remote Sensing
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• v.37 no.3
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• pp.367-378
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• 2021

Field compost is a representative non-point pollution source for livestock. If the field compost flows into the water system due to rainfall, nutrients such as phosphorus and nitrogen contained in the field compost can adversely affect the water quality of the river. In this paper, we propose a method for detecting field compost using unmanned aerial vehicle images and deep learning-based semantic segmentation. Based on 39 ortho images acquired in the study area, about 30,000 data were obtained through data augmentation. Then, the accuracy was evaluated by applying the semantic segmentation algorithm developed based on U-net and the filtering technique of Open CV. As a result of the accuracy evaluation, the pixel accuracy was 99.97%, the precision was 83.80%, the recall rate was 60.95%, and the F1-Score was 70.57%. The low recall compared to precision is due to the underestimation of compost pixels when there is a small proportion of compost pixels at the edges of the image. After, It seems that accuracy can be improved by combining additional data sets with additional bands other than the RGB band.

• 대한공업교육학회지
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• v.38 no.1
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• pp.69-85
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• 2013

This study aims to examine the correlations between undergraduates' major-interest congruence and stress coping behaviors and major adjustment. And in order to find there is any group violating Holland's congruence hypothesis, this paper divides them into four groups according to the degree of major-interest congruence and major adjustment. Also, it examines the difference of stress coping behaviors among the four groups. The followings are the chief results of this paper. First, according to the result of analyzing the effects of major-interest congruence and stress coping behaviors on major adjustment, congruence did not affect major adjustment significantly. Second, according to the result of dividing them into four groups by the degree of major-interest congruence and major adjustment, there is one group with high congruence but low major adjustment and also a group with low congruence but high major adjustment. Third, according to the result of examining the difference of stress coping behaviors among the four groups by the degree of major-interest congruence and major adjustment, there is significant difference among the four groups. Above results imply that in major adjustment, we should consider factors other than major-interest congruence, and stress coping behaviors are particularly important for it. Therefore, it is necessary to train their stress coping behaviors and also develop programs to facilitate major adjustment. Also, it implies that in the use of Holland's theory, it is crucial to use it based on the client's various information and uniqueness rather than to apply it in a conventional or unconditional way.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.2
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• pp.30.3-31
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• 2015

We present a kinematic analysis of 172 likely member galaxies of the Ursa Major Cluster. In order to understand the dynamical state of the cluster, we investigate the correlation of the cluster morphology with rotation, the velocity dispersion profile, and the rotation amplitude parallel to the global rotation direction. Both the minor axis and the rotation are very well-aligned with the global rotation axis in the outer region at half radius (> 0.5 $R_{max}$), but not in the inner region. The cluster exhibits low velocity dispersion and rotation amplitude profiles in the inner region, but higher in the outer. Both profiles exhibit outwardly increasing trends, suggesting an inside-out transfer of angular momentum of dark matter via violent relaxation, as revealed by a recent off-axis major-merging simulation. From Dressler-Schectman plots in the plane of galactic positions, and velocity versus position angle of galaxy, we are able to divide the Ursa Major Cluster into two substructures: Ursa Major South (UMS) and Ursa Major North (UMN). We derive a mass of $3.2{\times}10^{14}M_{\odot}$ for the cluster through the two-body analysis by the timing argument with the distance information (37 for UMN and 36 for UMS) and the spin parameter of ${\lambda}=0.049$. The two substructures appear to have passed each other 4.4 Gyr ago and are moving away to the maximum separation.