• The Transactions of the Korea Information Processing Society
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• v.5 no.9
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• pp.2334-2344
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• 1998

Appliciltion systems focusing class units, as component abstraction based on source code, has insufficient benefit of independency and reuse of elements. Only few effects are acquired, because it is only inclined implementation. We need design pattern to represent not only the problem abstraction but also information and relationship between system elements for generic solutions of specific domain Also, it is essential to software reverse engineering to catch the correct system through examming the cxisting system and utilizing the acquired knowledges as reusable resource. Namely, software reverse engineering for extracting the design pattern is very important because it improves the understand ability for system analysis and design through extracting the design structure of object-oriented system, and provides rich and high leIel reusabilitv through grasping the standard idioms and relationships between components. In this paper, we defined the extraction algorithm for design patterns with standardized, packaged and quantitative measlIIul thruugh applying reyerse engineering into existing ubject Olicnted system. And we designed the reengineering toul including reverse engineering for autumatic extractiun of design patterns ami reuse fur retrieval. editing and rebuilding oi design patterns. Also we applied the algorithms into Java applications.

• Journal of the Korea Institute of Building Construction
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• v.14 no.6
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• pp.605-613
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• 2014

Recently proposed intelligent images are generating, storing and managing along with existing image information and 5W1H information. Therefore, these vector images can be useful in searching and managing photos taking during building construction and maintenance processes. In addition, when the vector photos, a key to the intelligent image, is linked with BIM, it is possible to find BIM objects by utilizing information included in vector photos. And if the taken vector photo is saved as attributes of the extracted object, the vector photo can be managed as the historical data. Furthermore, this new technology will contribute to make the management of construction information more efficiently. This study is about the development of the technology of extracting BIM objects from vector photo information and managing the attributes of the extracted objects. Also the prototype modules was developed and tested to evaluate the processes of setting reference points, converting coordinate system, calculating positions, and so on. Through these processes, it was confirmed that the possibility of extracting BIM objects from vector photos and of managing attribute data of objects.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.551-559
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• 2003

This paper describes the data model and software development of XWS, an XWEET Web-wrapper System for generation wrapper program. To access information from various information sources, one has to convert and integrate source data into the same data model. XWS is developed as a part of XWEET project. We have implemented the XWS system using the Perl programming language stressing efficiency and ease-of-use. XWS has a few distinct features. First, data model and operator used for extracting information from HTML support a unified model of different views of HTML document. Second, it provides a user-friendly interface program to enable wrapper programmer to generate wrapper easily Third, XWS use the high-level script language designed by object-oriented methodology. In this paper, we also present the detail demonstration where it is useful for extracting article information from DBLP site.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.1
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• pp.73-81
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• 2010

In recent years, there have been diverse researches and utilizations of creating geo-spatial information with high resolution satellite images. However thematic maps made with middle or low resolution satellite images have low location accuracy and precision of thematic information. This study set out to propose a method of making a precision thematic map with high resolution satellite images by examining the conversion from the conventional method based on middle or low resolution satellite images to the automatic method based on high resolution satellite images of GSD 1m or lower, extracting thematic information of middle or large scale of 1/5,000 or lower, and analyzing its accuracy. Seven classification classes were categorized according to the object-oriented classification in order to automatically extract thematic information with high resolution satellite images. And the classification results were compared and analyzed with the old middle scale land cover map and 1/1000 digital map.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.181-186
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• 2017

The system optimization is a technique that changes the structure of the program in order to extract the duplicated modules without changing the source code, reuse of the extracted module. Structure-oriented development and object-oriented development are efficient at crosscutting concern modular, however can't be modular of crosscutting concept. To apply the crosscutting concept in an existing system, there is a need to a extracting technique for distributed system optimization module within the system. This paper proposes a method for extracting the redundant modules in the completed system. The proposed method extracts elements that overlap over a source code analysis to analyze the data dependency and control dependency. The extracted redundant element is used to program dependency analysis for the system optimization. Duplicated dependency analysis result is converted into a control flow graph, it is possible to produce a minimum crosscutting module. The element extracted by dependency analysis proposes a system optimization method which minimizes the duplicated code within system by setting the crosscutting concern module.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.68-79
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• 2011

This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposing technique proved that the actual performance is excellent by comparison experiment with other techniques. Performance evaluation of function extracting positive/negative opinion information, the performance evaluation applying dynamic window technique and tokenizer technique for multilingual information retrieval, and the performance evaluation of technique extracting exact multilingual phonetic translation are carried out. The experiment with typical movie review sentence and Wikipedia experiment data as object as that applying example is carried out and the result is analyzed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.670-678
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• 2004

In oriental medicine, meridian is pathway of bio-energy, and basic an object of diagnosis/therapy. But, in western medicine, meridian has been accepted as action pathway of nerve-endocrine-immune system. Acupuncture effect has been regarded as not effect by transmission of bio-energy but action or response by stimulation. In this paper, when an acupuncturist's bio-energy is passed on(non-insulation) and when is not(insulation), we analysed electric potential on meridian/non-meridian to verify effect of acupuncture therapy. In the results, when bio-energy isn't passed on, bio-potential is reacted to only the first of 4 times acupuncture operating. But when bio-energy is passed on, it is reacted to 4 times, and potential on meridian is higher than that of on non-meridian. Electric potential for same acupuncture operating is different on non/meridians, which implies that physiological construction and bio-energy transmission material is different respectively. When is extracting acupuncture method, potential is higher than that of injection one. It implies that extracting method is more effect than injecting one, in aspect of acupuncture therapy effect. Therefore, acupuncture therapy effect is verified as effect of response by acupuncturist's bio-energy transmission rather than that by only acupuncture stimulus.

• Journal of Biomedical Engineering Research
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• v.27 no.5
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• pp.224-228
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• 2006

The object of this study is to investigate the potential of dual-electrospun polymer based structure for vascular tissue engineering, especially for the medium or small sue blood vessels. Polyurethane(PU), which is known to be biocompatible in this area, was electrospun with poly(ethylene oxide) (PEO). Concentration of PU was fixed at 20wt%, while that of PEO was set from 15 to 35wt%. Morphological features were observed by SEM image and measurement of porosity and cellular responses were tested before and after extracting PEO from the hybrid scaffolds by immersing the scaffolds into distilled water. The diameter of PEO fibers were ranged from 200nm to 500nm. The lower concentration of PEO tended to show beads. The porosity of the scaffolds after extracting PEO was highly increased with higher concentration of PEO as expected. Also, higher proliferation rate of smooth muscle cells was observed at higher concentration of PEO than at the lower concentration and without PEO. As conclusions, this dual electrospinning technique combined with PU and PEO is expected to overcome the current barrier of cell penetration by providing more space for cells to proliferation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2321-2326
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• 2011

Cervical vertebrae are a complex structure and an important part of human body connecting the head and the trunk. In this paper, we propose a method to extract sternocleidomastoid muscle from ultrasonography images of cervical vertabrae automatically. In our method, Region of Interests(ROI) is extracted first from an ultrasonography image after removing unnecessary auxiliary information such as metrics. Then we apply Ends-in search stretching algorithm in order to enhance the contrast of brightness. Average binarization is then applied to those pixels which its brightness is sufficiently large. The noise part is removed by image processing algorithms. After extracting fascia encloses sternocleidomastoid muscle, target muscle object is extracted using the location information of fascia according to the number of objects in the fascia. When only one object is to be extracted, we search downward first to extract the target muscle area and then search from right to left to extract the area and merge them. If there are two target objects, we extract first from the upper-bound of higher object to the lower-bound of lower object and then remove the fascia of the target object area. Smearing technique is used to restore possible loss of the fat area in the process. The thickness of sternocleidomastoid muscle is then calculated as the maximum thickness of those extracted objects. In this experiment with 30 real world ultrasonography images, the proposed method verified its efficacy and accuracy by health professionals.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.3
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• pp.11-17
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• 2013

With high social demands for the diverse utilizations of forest lands, the illegal forest land use changes have increased. We studied change detection technique to detect changes in forest land use using an object-oriented segmentation of RED bands differencing in multi-temporal aerial photographs. The new object-oriented segmentation method consists of the 5 steps, "Image Composite - Segmentation - Reshaping - Noise Remover - Change Detection". The method enabled extraction of deforested objects by selecting a suitable threshold to determine whether the objects was divided or merged, based on the relations between the objects, spectral characteristics and contextual information from multi-temporal aerial photographs. The results found that the object-oriented segmentation method detected 12% of changes in forest land use, with 96% of the average detection accuracy compared by visual interpretation. Therefore this research showed that the spatial data by the object-oriented segmentation method can be complementary to the one by a visual interpretation method, and proved the possibility of automatically detecting and extracting changes in forest land use from multi-temporal aerial photographs.