• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.1
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• pp.54-68
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• 2001

This paper proposes a new algorithm that detects and separates the occluding and occluded objects in a 2D image. An input image is represented by the attributed graph where a node corresponds to a surface and an arc connecting two nodes describes the adjacency of the nodes in the image. Each end of arc is weighted by relation value which tells the number of edges connected to the surface represented by the node in the opposite side of the arc. In attributed graph, homogeneous nodes pertained to a same object always construct one of three special patterns which can be simply classified by comparison of relation values of the arcs. The experimental results have shown that the proposed algorithm efficiently separates the objects overlapped arbitrarily, and that this approach of separating objects before matching operation reduces the matching time significantly by simplifying the matching problem of overlapped objects as the one of individual single object.

• Journal of Internet Computing and Services
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• v.8 no.3
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• pp.131-143
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• 2007

The current trends in information technology and intelligent systems use data mining techniques to discover patterns and extract rules from distributed databases. In distributed environment, the extracted rules from data mining techniques can be used in dynamic replications, adaptive load balancing and other schemes. However, transmission of large data through the system can cause errors and unreliable results. This paper proposes the intelligent distributed platform based on dynamic group binding using mobile agents which addresses the use of intelligence in distributed environment. The proposed grouping service implements classification scheme of objects. Data compressor agent and data miner agent extracts rules and compresses data, respectively, from the service node databases. The proposed algorithm performs preprocessing where it merges the less frequent dataset using neuro-fuzzy classifier before sending the data. Object group classification, data mining the service node database, data compression method, and rule extraction were simulated. Result of experiments in efficient data compression and reliable rule extraction shows that the proposed algorithm has better performance compared to other methods.

• The KIPS Transactions:PartD
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• v.12D no.1 s.97
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• pp.111-120
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• 2005

Software development creates many product that class components, Class Diagram, form, object, and design pattern. So this Paper suggests Index/XML Sequence Relation information system for product abstraction and classification, the system of design product Sequence Relation abstraction which can store, reuse design patterns in the meta modeling database with pattern Relation information. This is Index/XML Sequence Relation system which can easily change various relation information of product for product abstraction and classification. This system designed to extract and classify design pattern efficiently and then functional indexing, sequence base indexing for standard pattern, code indexing to change pattern into code and grouping by Index-ID code, and its role information can apply by structural extraction and design pattern indexing process. and it has managed various products, class item, diagram, forms, components and design pattern.

• The Transactions of the Korea Information Processing Society
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• v.6 no.1
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• pp.234-246
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• 1999

As an application software in distributed computing environment becomes large, the number of objects to be created increases drastically and the interfaces among them become very complex, The concept of group object resolves this problem to some extent by grouping a set of related objects, encapsulating them and controlling their interfaces systematically. In this paper, we propose an implementation model f the group object concept in CORBA, which is a standard middle ware for developing distributed application software on heterogeneous networks. To support group objects we extends CORBA ORB without modifying its internal structure for the compatibility with existing CORBA applications. And we devise an interface definition language by extending CORBA IDL to describe group objects in a language-independent style, which is one of the most important characteristics in CORBA. Finally, we experiment the implementation model on a CORBA ORB compliant product which supports the Java language.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5849-5855
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• 2011

As application development environment changes rapidly, importance of user interface design is increasing. Usually, most of designers are clustering by subjective method of individual to define objects that have relativity in design interface. But, interface which is designed without particular rules just adds inefficiency and complexity of business to user who use this system. Therefore, in this paper, we propose an object oriented design model that allows for flexible development by formalizing the user interface prototype in any GUI environment. The visual cohesion of the user interface is a new set of criteria which has been studied in relation to the user interface contents, and is founded on the basis of the cohesion of the interface as defined using basic software engineering concepts. The visual cohesion includes the issue of how each unit is arranged and grouped, as well as the cohesion of the business events which appear in the programming unit. The interface will become easier to understand and use if the business events are grouped by their inter-relevance within the user interface.

• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.133-143
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• 2007

The object of this study is to empirically analyze the effects of information support quality and service quality on service satisfaction of department store. To investigate the purpose of this study, literature review and survey were conducted. for statistical analysis, factor analysis, analysis of variance(ANOVA), and regression in order by the contingency grouping method were used. In conclusion of this study are as follows First, The regression analysis had effects on information support quality and service satisfaction. Second, The Analysis of variance(ANOVA) and regression had effects on information support quality and service satisfaction as service quality factors. Result, The information support accuracy and service quality had additional effect about customer relation.

• Journal of Korea Multimedia Society
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• v.17 no.10
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• pp.1160-1170
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• 2014

Clustering methods are very useful in many fields such as data mining, classification, and object recognition. Both the supervised and unsupervised grouping approaches can classify a series of sample data with a predefined or automatically assigned cluster number. However, there is no constraint on the number of elements for each cluster. Numbers of cluster members for each cluster obtained from clustering schemes are usually random. Thus, some clusters possess a large number of elements whereas others only have a few members. In some areas such as logistics management, a fixed number of members are preferred for each cluster or logistic center. Consequently, it is necessary to design a clustering method that can automatically adjust the number of group elements. In this paper, a k-means based clustering method with a fixed number of cluster members is proposed. In the proposed method, first, the data samples are clustered using the k-means algorithm. Then, the number of group elements is adjusted by employing a greedy strategy. Experimental results demonstrate that the proposed clustering scheme can classify data samples efficiently for a fixed number of cluster members.

• Korean Journal of Remote Sensing
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• v.37 no.1
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• pp.111-122
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• 2021

Building footprint extraction is an active topic in the domain of remote sensing, since buildings are a fundamental unit of urban areas. Deep convolutional neural networks successfully perform footprint extraction from optical satellite images. However, semantic segmentation produces coarse results in the output, such as blurred and rounded boundaries, which are caused by the use of convolutional layers with large receptive fields and pooling layers. The objective of this study is to generate visually enhanced building objects by directly extracting the vertices of individual buildings by combining instance segmentation and keypoint detection. The target keypoints in building extraction are defined as points of interest based on the local image gradient direction, that is, the vertices of a building polygon. The proposed framework follows a two-stage, top-down approach that is divided into object detection and keypoint estimation. Keypoints between instances are distinguished by merging the rough segmentation masks and the local features of regions of interest. A building polygon is created by grouping the predicted keypoints through a simple geometric method. Our model achieved an F1-score of 0.650 with an mIoU of 62.6 for building footprint extraction using the OpenCitesAI dataset. The results demonstrated that the proposed framework using keypoint estimation exhibited better segmentation performance when compared with Mask R-CNN in terms of both qualitative and quantitative results.

• Journal of East-West Nursing Research
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• v.7 no.1
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• pp.18-31
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• 2002

This study, as a basic research to manage a Chinese Medicine Health Promotion Center by way of showing an example, is a before and after experiment research for simple group to verify a difference with cholesterol, health status and perception of health in order to confirm a effectiveness of diet and regimen according to the 4th status of physical constitution. Research object was chosen of 42 persons who operate a physical constitutional dietary regimen among them after selecting professors and clinical nurses (55 persons) majoring in the science of nursing who participated in Chinese Medicine-oriented Nurse Training Course from Aug. of 2001 to Feb. of 2002 all over the country. Diagnostic tools for physical constitution was used of the questionary that is currently consisted of physical constitution grouping test in Eastern & Western Diagnose Center of K Medical Center, and rating of health status was used of the tool that standardized CMI(Cornell Medical Index) to be available for Korean, and perception measurement for health status was used of a visual analogue scale for the health status that each one perceive personally, and physiological status was measured of cholesterol in blood. Analysis for the collected data was carried out by percentage, $X^2$ test, paired t-test according to research object by using SPSS, and the results of this study are as follows. 1) There was no difference with cholesterol before or after the experiment for objects. As a result of estimation about difference with health status by areas before or after the experiment, there are more improved result in eyes, ears, digestive organs, bones and sinews organs, frequency of a disorder, habit, adaptation status, angry, healthy status than before the experiment. As a whole, after the experiment the health was more improved than before the experiment. As the result to inspect a difference of health perception between before and after experiment, after the experiment the health perception level was improved than before, however there was no meaningful differences. 2) As the result to inspect a difference of cholesterol between before and after experiment according to object's physical constitution, in the case of So-yang-in(a person with the minimum male: according to the male and female principles(the sun and the moon)) among the 4th status of physical constitution there was only meaningful difference statistically, however, after the experiment their cholesterol's value was increased. As the result to inspect the difference of health status between before and after the experiment according to physical constitution, all of Ta-um-in(a person with maximum the female), So-yang-in(with the minimum male), So-um-in(with the minimum female) had a meaningful difference before and after the experiment, which means that in all case by physical constitutional groups, after the experiment their health status was more improved than before the experiment. As the result to inspect a difference of health perception between before and after according to physical constitutions, in the case of Tae-um-in and So-um-in, average score after the experiment was risen than before the experiment so that it means that the level of health perception was improved, however, there was no meaning statistically. According to the above results, if continuous diet and regimen by each physical constitutions could be implemented, it is certain that the health could be maintained and promoted. And, what we are healthy is for oneself to feel it subjectively. However, I think that cholesterol score in blood that we can view objectively could be changed distinctly if we can implement a strict diet and regimen. Accordingly, it is necessary for a method and period of experiment to be more strict and longer. According to the above results, I would like to suggest as follows. 1) In order to understand health status by Korean's physical constitutions and to generalize it, these research will be repeated against much more objects that could be selected by proper grouping method to consider a representative. 2) It is necessary for a research to inspect health status by physical constitution by developing a health status measurement tool that has higher confidence and propriety based on physical constitutional theory.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.1
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• pp.111-121
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• 2006

Recently, many studies have been performed to apply airborne LIDAR data to extracting urban models. In order to model efficiently the man-made objects which are the main components of these urban models, it is important to extract automatically planar patches from the set of the measured three-dimensional points. Although some research has been carried out for their automatic extraction, no method published yet is sufficiently satisfied in terms of the accuracy and completeness of the segmentation results and their computational efficiency. This study thus aimed to developing an efficient approach to automatic segmentation of planar patches from the three-dimensional points acquired by an airborne LIDAR system. The proposed method consists of establishing adjacency between three-dimensional points, grouping small number of points into seed patches, and growing the seed patches into surface patches. The core features of this method are to improve the segmentation results by employing the variable threshold value repeatedly updated through a statistical analysis during the patch growing process, and to achieve high computational efficiency using priority heaps and sequential least squares adjustment. The proposed method was applied to real LIDAR data to evaluate the performance. Using the proposed method, LIDAR data composed of huge number of three dimensional points can be converted into a set of surface patches which are more explicit and robust descriptions. This intermediate converting process can be effectively used to solve object recognition problems such as building extraction.