• Journal of the Korean Institute of Intelligent Systems
• /
• v.26 no.6
• /
• pp.493-497
• /
• 2016

Infrared (IR) imaging is capable of detecting targets that are not visible at night, thus it has been widely used for the security and defense system. However, the quality of the IR image is often degraded by low resolution and noise corruption. This paper addresses target segmentation with the IR image. Multiple regions of interest (ROI) are extracted by the multi-level segmentation and targets are segmented from the individual ROI. Each level of the multi-level segmentation is composed of a k-means clustering algorithm an expectation-maximization (EM) algorithm, and a decision process. The k-means clustering algorithm initializes the parameters of the Gaussian mixture model (GMM) and the EM algorithm iteratively estimates those parameters. Each pixel is assigned to one of clusters during the decision. This paper proposes the selection and the merging of the extracted ROIs. ROI regions are selectively merged in order to include the overlapped ROI windows. In the experiments, the proposed method is tested on an IR image capturing two pedestrians at night. The performance is compared with conventional methods showing that the proposed method outperforms others.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.22 no.3
• /
• pp.219-237
• /
• 2020

Rapid economic development and urban population growth have been increasing the necessity for underground space exploration and utilization due to the need of upgrading and expanding the existing infrastructures. TBM has been widely used to construct underground structures with high advance rate and minimal ground disturbance. Two important design parameters, which are available thrust capacity and cutterhead torque, should be estimated for any project in addition to proper selection of TBM type. However, the conventional thrust force and torque estimation model only depends on the empirical equation, which hinders the design process of the optimal thrust hydraulic system and the appropriate hydraulic components. In this study, four thrust and torque calculation models are derived and explained. For TBM design practice, the four estimation models are compared and discussed.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.3
• /
• pp.608-618
• /
• 2007

Image binarization is an important preprocessing to identify the object of interest by dividing pixels into the background and object. We proposes efficient binarization method and a stroke reconstruction method of the low quality character image for an effective character recognition. First, the character image is binarized by using the both advantages of local and global thresholding method and then the noise elimination around the character stroke and the hole filling on the stoke by the analysis of the binarized stroke image are performed to enhance the quality of the character stroke. Proposed binarization algorithm for character image achieved an efficiency of both processing speed and performance by the adaptive threshold selection. Moreover, We could get a high qualify binary image by a stroke reconstruction of the step-by-step denoising process.

• Korean Journal of Remote Sensing
• /
• v.19 no.2
• /
• pp.170-179
• /
• 2003

In order to classify Land Use/Land Cover using multispectral images, we have to give consequence to defining proper classes and selecting training sample with higher class separability. The process of satellite hyperspectral image which has a lot of bands is difficult and time-consuming. Furthermore, classification result of hyperspectral image with noise is often worse than that of a multispectral image. When selecting training fields according to the signatures in the study area, it is difficult to calculate covariance matrix in some clusters with pixels less than the number of bands. Therefore in this paper we presented an overview of feature extraction methods for classification of Hyperion data and examined effectiveness of feature extraction through the accuracy assesment of classified image. Also we evaluated the classification accuracy of optimal meaningful features by class separation distance, which is also a method for band reduction. As a result, the classification accuracies of feature-extracted image and original image are similar regardless of classifiers. But the number of bands used and computing time were reduced. The classifiers such as MLC, SAM and ECHO were used.

• Korean Journal of Social Welfare Studies
• /
• no.37
• /
• pp.171-197
• /
• 2008

This study focuses on the following question; self-supporting training program increases participants' income compare to non-participants who have similar characteristics. This question is based on counterfactual assumption. In other words, this study concentrates on what the outcomes would have been if the participants were to be absent. This study adopts a quasi-experimental design. To overcome previous study's methodological weaknesses, especially selection bias, I applied matching procedure based on a propensity-score matching. Matching process was performed by using 'MatchIt' software. The major findings are as follows From Least Squares Regression analysis, I found the poor's income are significantly different according to age, pre-intervention earning, material status, and participation of training. Since the poor have homogeneous education level, education variable was not statistically significant. From the Simulation Quantities of Interest analysis, I also found that treatment group's expected incomes are lower than control's expected incomes. In other words, participation of training has a negative effect on the participants' earnings.

• Cross-Cultural Studies
• /
• v.39
• /
• pp.127-152
• /
• 2015

This thesis comparatively looks into folklore faiths, expecially child-birth gods related to child-birth customs and aims to find out both nations' faith in child-birth gods and their features. It looks into birth gods protecting delivering mothers and babies by appearing at the delivery sites at time of delivery and child-rearing gods intervening in growth of babies after they are born. In both nations, many gods are believed in for selection of babies, safe delivery and their healthy growth but those appearing at delivery sites are only birth goddesses called Samsinhalmony and Obugami. What make this phenomenon appear in both nations' folklore faiths? Seeing the reason in the fact that common negative concept regarding childbirth exists in both nations' established faiths, the writer comparatively analyzed various cases of delivery-related defilement in both nations' delivery customs. Its result showed that Japan is stronger in delivery-related defilement concept than Korea is. For instance, Japan regard child birth-related defilement more horrible than that related to funeral. Pursuantly, in Japan stricter regulations on childbirth rooms and stricter taboos for babies have been passed down. Besides, in the process of its comparative study on both nations' divine images and appearances, the writer paid attention to the fact that unlike Japan's mountain gods and restroom goddesses appearing at delivery sites, they don't get involved in childbirth in Korea and discussed Japan's theory of reincarnation and its mountain goddess' marginal nature working behind the curtain. I also discussed the phenomenon that both nations' childbirth gods are passed down as Three gods, which means that their faith in childbirth gods has to be seen as a result of the faith in childbirth gods interacting with the faith in Three gods or the Three-gods theory, accordingly I indicated that it is worth re-consideration to see the Three-God Theory as the core of the faith in Samsinhalmoni. Lastly, though in both nations' childbirth faith underlies their fear for divine beings, the faith in childbirth gods, strongly coupled with death heritages, is distributed throughout the nation, which is because Japan's childbirth gods intervening in birth and growth of a new life also actually involve themselves deeply in the sphere of death as well.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.10
• /
• pp.243-249
• /
• 2019

In this paper, we proposes a comprehensive analysis of the characteristics, selection procedures, and management perspectives of each university's financial support project, and derivation of a plan to integrate the information system of the university's financial support project. To this end, we analyze the current status of business operations before and after restructuring university financial support projects, and identified the characteristics, commonalities, and differences of each project. Individual projects are promoted segmentally, evaluation indicators and evaluation methods are different for each business, standardization is difficult, and in the absence of integrated governance, sympathy and will of the system integration of the government and the managing agency cannot be found. In order to integrate the system, the business management process must be integrated and standardized, and the system equipment such as budget category adjustment must be complemented, and a stable budget for system integration must be secured.

• Analytical Science and Technology
• /
• v.32 no.5
• /
• pp.173-184
• /
• 2019

As the size of semiconductors becomes smaller, it is necessary to perform high precision polishing of nanoscale. Ceria, which is generally used as an abrasive, is widely used because of its uniform quality, but its stability is not high because it has a high molecular weight and causes agglomeration and rapid precipitation. Such agglomeration and precipitation causes scratches in the polishing process. Therefore, it is important to accurately analyze the size distribution of ceria particles. In this study, a study was conducted to select dispersants useful for preventing coagulation and sedimentation of ceria. First, a dispersant was synthesized and a ceria slurry was prepared. The defoamer selection experiment was performed in order to remove the air bubbles which may occur in the production of ceria slurry. Dynamic light scattering (DLS) and asymmetrical flow field-flow fractionation (AsFlFFF) were used to determine the size distribution of ceria particles in the slurry. AsFlFFF is a technique for separating nanoparticles based on sequential elution of samples as in chromatography, and is a useful technique for determining the particle size distribution of nanoparticle samples. AsFlFFF was able to confirm the presence of a little quantities of large particles in the vicinity of 300 nm, which DLS can not detect, besides the main distribution in the range of 60-80 nm. AsFlFFF showed better accuracy and precision than DLS for particle size analysis of a little quantities of large particles such as ceria slurry treated in this study.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.8
• /
• pp.105-111
• /
• 2013

This paper presents a virtual sensor system that is an effective method to test application software of smart sensors. The common way of testing sensor application is to build a test board, connect sensors to the board, and test sensor applications on the board with sensor's measurements as inputs. The problem of testing sensor application software with sensor's measurements as inputs is the restriction of test data. In other words, software testers cannot manipulate test data, because test data is generated by sensors. To solve this problem a virtual sensor system is presented in this paper. The virtual sensor system enables software testers to manipulate measurements of sensors. In the virtual sensor system, generation of virtual sensors comprises three stages - sensor selection, sensor characterization, and determination of output patterns. Sensor's measurements that can be manipulated through the virtual sensor system make the process of testing efficient. To show the usefulness of our virtual sensor system, it is applied to sensor applications in Android platform and the result of experiments is shown.

• Journal of Soil and Groundwater Environment
• /
• v.17 no.1
• /
• pp.13-21
• /
• 2012

This study reports a surfactant-enhanced in-situ remediation treatment at a test site which is located in a hilly terrain. The leakage oils from a storage tank situated on the top of the hill contaminated soils and groundwater in the lower elevation. Sixteen vertical injection wells (11 m deep) were installed at the top of the hill to introduce 0.1-0.5 vol.% of non-ionic Tween-80 surfactant. The contaminated area that required remediation treatment was about $1,650\;m^2$. Two cycles of injecting surfactant solution followed by water were repeated over approximately 7.5 months: first cycle with 0.5 month of surfactant injection followed by 3 months of water injection, and second cycle with 1 month of surfactant followed by 3 months of water injection. The seasonal fluctuation in groundwater table was also considered in the selection of periods for surfactant and water injection. The results showed that the initial Total Petroleum Hydrocarbon (TPH) concentration of 1,041 mg/kg (maximum 3,605 mg/kg) was reduced significantly down to 76.6 mg/kg in average. After 2nd surfactant injection process finished, average TPH concentration of soils was reduced to 7.5% compared to initial concentration. Also, average BTEX concentration of soils was reduced to 10.8%. This resultes show that the surfactant enhanced in-situ remediation processes can be applicable to LNAPL contaminated site in field scale.