• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.6
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• pp.735-744
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• 2019

One of the key factors for recognition performance in the automatic target recognition for synthetic aperture radar imagery(SAR-ATR) system is reliability of the SAR target database. To achieve optimal performance, the database should be constructed using the images obtained under the same operating condition as the SAR sensor. However, it is impractical to have the extensive set of real-world SAR images, and thus those from the electro magnetic prediction tool with 3-D CAD models are suggested as an alternative where their reliability can be always questionable. In this paper, a method for similarity assessment between target SAR images is presented inspired by the fact that a target SAR image is mainly characterized by the features of scattering centers. The method is demonstrated using a variety of examples and quantitatively measures the similarity related to reliability. Its assessment performance is further compared with that of the existing metric, structural similarity(SSIM).

• The Research Journal of the Costume Culture
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• v.15 no.1 s.66
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• pp.137-151
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• 2007

This study was performed to narrow down the Sizing System for Female Adult's garments(KS K 0051) following age target and body shapes. The study was based on the sizing system and the anthropometric measurements, called Size-Korea, which were surveyed in the years 2003 and 2004. At first, the subjects of the survey were classified into 4 age groups, $18{\sim}24,\;25{\sim}34,\;35{\sim}49\;and\;50{\sim}59$, based on the most significant differences of body sizes. Secondly, the ranges of four key dimensions - height, bust, waist and hip-of normal sizes were identified through analyzing Rohrer index and percentile. The selected sizes within the ranges were grouped by the drop which was the subtraction of bust girth from hip girth. In conclusion, there was the most frequent drop for each age group; 9cm drop for the $18{\sim}24$ years old group, the 6cm drop for the $25{\sim}34$ years old and $35{\sim}49$ years old and 3cm drop for $50{\sim}59$ years old. The upper body garment sizes of the same drop and target ages could be merged to 10 to 12 sizes, which were remarkably smaller than the Female Adult garment sizing system, and further to 2-5 sizes, considering the percentile importance. However, $50{\sim}59$ years old group needed to be analyzed in different ways, because the number of subjects of normal size in the age decreased rapidly, that the normal sizes for them were very limited. In addition, the reference body sizes of each garment size were apparently different when they were compared to each age groups. These basic data for garment size specification could be usefully adapted for the apparel companies' own sizing system according to their age target and body shapes, to achieve efficient production and better fit.

• Current Optics and Photonics
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• v.1 no.3
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• pp.196-202
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• 2017

Corona discharge is always a sign of failure processes of high-voltage electrical apparatus, including those utilized in electric railway systems. Solar-blind ultraviolet (UV) cameras are effective tools for corona inspection. In this work, we present an automatic railway corona-discharge detection system based on solar-blind ultraviolet detection. The UV camera, mounted on top of a train, inspects the electrical apparatus, including transmission lines and insulators, along the railway during fast cruising of the train. An algorithm based on the Hough transform is proposed for distinguishing the emitting objects (corona discharge) from the noise. The detection system can report the suspected corona discharge in real time during fast cruises. An experiment was carried out during a routine inspection of railway apparatus in Xinjiang Province, China. Several corona-discharge points were found along the railway. The false-alarm rate was controlled to less than one time per hour during this inspection.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.2
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• pp.141-146
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• 2018

The Ground Moving Target Indication(GMTI) technique can detect the moving targets on land using its Doppler returns. Also, the GMTI system can work in night regardless of the weather condition because it is an active sensor that uses the electromagnetic waves as its source. In order to develop the GMTI system, Constant False Alarm Rate(CFAR) threshold optimization is important because the main performances like detection probability, false alarm rate and Minimum Detectable Velocity(MDV) are related deeply with CFAR threshold. These key variables are used to calculate CFAR threshold and then trade-off between the variables is performed. In this paper, CFAR threshold optimization procedures are introduced, and the optimization results are demonstrated.

• The Journal of Industrial Distribution & Business
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• v.7 no.1
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• pp.19-25
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• 2016

Purpose - The purpose of this paper is to aim to stress the importance of doing business environment in South Korean economy. The theoretical justification is based on neo-institutional theories and new business management including Porter's Model as main justifications of state intervention due to the market failures to promote a competitive environment of doing business. Research design, data and methodology - The methods to be taken is to provide a comparative performance analysis, and offer in terms of doing business and economic freedom sub-index complemented by Korean reforms diagnostics. Results - The main results underlined the key factors explain the success of business environment in South Korea such as: a simplified registration procedures, a target tax incentives, the removal of business barriers, the improvement of legislative and regulatory framework, target reforms, property right and technical norms, good governance and the quality of institution, a role of a well-functioning legal framework, a strong competition framework, and the transparency of regulation, etc. Conclusion - A competitive environment of doing business is based on the target national strategies, appropriate reforms responding to national needs and good governance system.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1657-1667
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• 2007

This study propose a model for railway safety evaluation with which the safety of whole railway system can be evaluated. The evaluation model is to generate a safety index which quantitatively represent the degree of railway safety. Safety index is proposed a function of three indexes; an accident index, safety management index, and safety culture index. This paper describes the first result from the study on the safety target which will be a key starting point toward the development of safety evaluation model. It is recommended that the safety target be composed of several sub-targets that are apportioned to constituent components. It is concluded that the classification of safety target influence on deciding components or attributes that constitute each sub-indexes; an accident index, safety management index, and safety culture index. Based on this study, a railway safety evaluation model will be developed in the next study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.451-465
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• 2017

This paper presents a novel discriminative visual tracking algorithm with an adaptive incremental extreme learning machine. The parameters for an adaptive incremental extreme learning machine are initialized at the first frame with a target that is manually assigned. At each frame, the training samples are collected and random Haar-like features are extracted. The proposed tracker updates the overall output weights for each frame, and the updated tracker is used to estimate the new location of the target in the next frame. The adaptive learning rate for the update of the overall output weights is estimated by using the confidence of the predicted target location at the current frame. Our experimental results indicate that the proposed tracker can manage various difficulties and can achieve better performance than other state-of-the-art trackers.

• International Journal of Railway
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• v.5 no.4
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• pp.175-181
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• 2012

This study proposes a model for railway safety assessment with which the safety of whole railway system can be evaluated. The purpose of the assessment model is to generate safety indicators which quantitatively represent the degree of railway safety. Safety indicators were proposed as three indicators according to their functions; accident indicators, safety management indicators, and safety culture indicators. This paper describes the first result on the safety target which will be a key starting point toward the development of safety assessment model. It is recommended that the safety target to be composed of several sub-targets are apportioned to constituent components. It is concluded that the classification of safety target has influence on deciding components or attributes that constitute each sub-indicators; accident indicators, safety management indicators, and safety culture indicators. Based on this study, a railway safety assessment model will be developed in the following study.

• Journal of Magnetics
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• v.21 no.1
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• pp.125-132
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• 2016

High gradient magnetic separation (HGMS) is the most commonly used magnetic cell separation technique in biomedical science. However, parameters determining target cell capture efficiencies in HGMS are still not well understood. This limitation leads to loss of information and resources. The present study develops a bead-capture theory to predict capture efficiencies in HGMS. The theory is tested with CD3- and CD14-positive cells in combination with paramagnetic beads of different sizes and a generic immunomagnetic separation system. Data depict a linear relationship between normalized capture efficiency and the bead concentration. In addition, it is shown that key biological functions of target cells are not affected for all bead sizes and concentrations used. In summary, linear bead-capture theory predicts capture efficiency ($E_t$) in a highly significant manner.

• Fisheries and Aquatic Sciences
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• v.27 no.4
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• pp.225-230
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• 2024

We examined the dB difference in target strength at multiple frequencies (ΔTS) for the identification of Antarctic krill (Euphausia superba) and ice krill (Euphausia crystallorophias) using a stochastic distorted-wave Born approximation model. Our investigation focused on ΔTS patterns at multiple frequencies in relation to size, along with key acoustic properties influencing TS, including density and sound speed contrast, fatness, and orientation. The findings revealed that the orientation and fatness significantly affect the ΔTS patterns. The results provide insight into the importance of the multi-frequency technique for estimating krill biomass and their ecological interactions with environmental features in the Southern Ocean.