• Journal of Digital Convergence
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• v.14 no.5
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• pp.283-291
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• 2016

The railroad is one of the most popular means of transport. However, railroad agencies are managing the railroad information and provide its service respectively. That is, because of managing the different information and its type, the user will not receive the correct and integrated information. Thus, it is needed to employ methods for converting the various types of railroad information into the unified railroad information. In this study, we investigated how to (semi-)automatically convert railroad information in each agencies to standard railroad information. Railroad passengers can use the railroad information service at a time, at a glance and in one place. In addition, we believe that there can be provided the opportunity to create an new service, which will dramatically develop a railroad information service through these systematic and integrated railroad information management.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.211-217
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• 2012

Conventional GrabCut algorithm is semi-automatic algorithm that user must be set rectangle window surrounds the object. This paper studied automatic object detection to solve these problem by detecting salient region based on Human Visual System. Saliency map is computed using Lab color space which is based on color opposing theory of 'red-green' and 'blue-yellow'. Then Saliency Points are computed from the boundaries of Low-Frequency region that are extracted from Saliency Map. Finally, Rectangle windows are obtained from coordinate value of Saliency Points and these windows are used in GrabCut algorithm to extract objects. Through various experiments, the proposed algorithm computing rectangle windows of salient region and extracting objects has been proved.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.1-12
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• 2012

According to recent trends of ubiquitous learning with the advent of smart devices, this study was to suggest for the successful achievement of "Smart Campus" initiatives by experiencing an instruction with smart-pads (tablet PCs) in a university. A pilot project was conducted as a part of building a Smart Campus in S university in Gyeong-gi Province in Korea for the study. The class was held in the Summer semester in 2011 with six participants. Using research methodologies such as semi-structured interviews and stimulated recall, perceived academic performances, satisfaction, and the usability of smart-pads were analysed. Main results included high perceived academic performances, satisfaction, and the usability, however, some negative responses also detected on the variables. Based on the results, it was suggested that specific instructional strategies should be developed in terms of hardware, software and humanware.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.239-247
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• 2012

This paper is related to an Object VR-based virtual textile wearing system carrying out textile texture mapping based on viewpoint vector estimation and intensity difference map. The proposed system is characterized as capable of virtually wearing a new textile pattern selected by the user to the clothing shape section segmented from multi-view 2D images of clothes model for Object VR(Object Virtual Reality), and three-dimensionally viewing its virtual wearing appearance at multi-view points of the object. Regardless of color or intensity of model clothes, the proposed system is possible to virtually change the textile pattern with holding the properties of the selected clothing shape section, and also to quickly and easily simulate, compare, and select multiple textile pattern combinations for individual styles or entire outfits. The proposed system can provide higher practicality and easy-to-use interface, as it makes real-time processing possible in various digital environment, and creates comparatively natural and realistic virtual wearing styles, and also makes semi-automatic processing possible to reduce the manual works.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.103-112
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• 2013

Traditional method of establishing prediction model is usually using formal data stored in Data Base. However, nowadays advent of "smart" era brought by ground-breaking development of communication system makes informal data to dominate overall data, such 80% in total. Therefore, conventional method using formal data as establishing predicting model would be untrustworthy means in present. In other words, it is indispensible to make prediction model credible including informal data(SNS, image, video) and semi-formal data(log data). In this study, we increase credibility of predicting model adapting Bigdata method and comparing reliability of conventional measurement to real-data.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.26 no.4
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• pp.223-231
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• 2013

This paper presents a time-domain Gauss-Newton full-waveform inversion method for the material profile reconstruction in heterogeneous semi-infinite solid media. To implement the inverse problem in a finite computational domain, perfectly-matchedlayers( PMLs) are introduced as wave-absorbing boundaries within which the domain's wave velocity profile is to be reconstructed. The inverse problem is formulated in a partial-differential-equations(PDE)-constrained optimization framework, where a least-squares misfit between measured and calculated surface responses is minimized under the constraint of PML-endowed wave equations. A Gauss-Newton-Krylov optimization algorithm is utilized to iteratively update the unknown wave velocity profile with the aid of a specialized regularization scheme. Through a series of one-dimensional examples, the solution of the Gauss-Newton inversion was close enough to the target profile, and showed superior convergence behavior with reduced wall-clock time of implementation compared to a conventional inversion using Fletcher-Reeves optimization algorithm.

• Bulletin of the Korean Chemical Society
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• v.35 no.3
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• pp.709-714
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• 2014

Protein tyrosine nitration is considered as an important indicator of nitrosative stresses and as one of the main factors for pathogenesis of inflammation and neuronal degeneration. In this study, we investigated various nitrosative modifications of bovine carbonic anhydrase II (CAII) through qualitative and semi-quantitative analysis using the combined strategy of Fourier transformation ion cyclotron resonance mass spectrometry (FT-ICR MS) and ion-trap tandem mass spectrometry (IT-MS/MS). FT-ICR MS and its spectra were used for the search of the pattern of nitrosative modifications. Identification of nitrosatively modified tyrosine sites were executed through IT-MS/MS. In addition, we also tried to infer the reason for the site-specific nitrosative modifications in CAII. In view of the above purpose, we have explored- i) the side chain accessibility, ii) the electrostatic environment originated from the acidic/basic amino acid residues neighboring to the nitrosatively modified site and iii) the existence of competing amino acid residues for nitration.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.495-503
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• 2017

The purpose of this study was to investigate the effect of psychobiographical intensive interview(PII) on the parent's insight, parent-child relationship characteristics and counseling session. For this, the PII was conducted to 10 mothers with school age children. PII was semi-structured form that included the intensive interview for exploring psychobiographical information and interpretation counseling of it. The results showed that the level of insight into parent's child problem and relation to parent's own problem was significantly increased. On the other hand, parent-child relationship characteristics (parental efficacy, parenting attitude, and parenting stress) were found to be significant only in some of the parenting stresses. We investigated the possibility as a counseling tool for PII through counseling session impact assessments. As a result of that, we confirmed that there were positive results in task impacts, relationship impacts, and helpful impacts.

• The Plant Pathology Journal
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• v.32 no.6
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• pp.552-562
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• 2016

Pathogenesis-related proteins play multiple roles in plant development and biotic and abiotic stress tolerance. Here, we characterize a rice defense related gene named "jasmonic acid inducible pathogenesis-related class 10" (JIOsPR10) to gain an insight into its functional properties. Semi-quantitative RT-PCR analysis showed up-regulation of JIOsPR10 under salt and drought stress conditions. Constitutive over-expression JIOsPR10 in rice promoted shoot and root development in transgenic plants, however, their productivity was unaltered. Further experiments exhibited that the transgenic plants showed reduced susceptibility to rice blast fungus, and enhanced salt and drought stress tolerance as compared to the wild type. A comparative proteomic profiling of wild type and transgenic plants showed that overexpression of JIOsPR10 led to the differential modulation of several proteins mainly related with oxidative stresses, carbohydrate metabolism, and plant defense. Taken together, our findings suggest that JIOsPR10 plays important roles in biotic and abiotic stresses tolerance probably by activation of stress related proteins.

• Journal of the Korean Geophysical Society
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• v.10 no.1
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• pp.27-35
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• 2007

There are many risks in constructing tunnel-structure. To prevent these risks from occurring and secure safety, the precise and rapid survey of inside displacement of the tunnel is required. But nowadays the measurement of the crown settlement, convergency, and surface settlement depends on general kinds of method which use total station or level. In the way to provide data about maintaining structure according to recent improvement and progress of measuring technology, 3D laser scanning is used. It solves the problem of reliability in measuring displacement of existing structure, provides material that enables to estimate shape change of structure visually, and makes it possible to deliberate speedy countermeasure. By this three dimensioning it is possible to make efficient use of structure maintenance and field measurement.