• Proceedings of the Korea Information Processing Society Conference
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• 2001.04a
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• pp.251-254
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• 2001

대표적인 분산 객체 환경을 위한 프레임 웍으로 1990년대 초 OMG(Object Management Group)에서 발표한 CORBA(Common Object Request Broker Architecture)를 들 수 있다. 이것은 분산, 이기종 환경에서 객체기반 응용 프로그램들의 재사용성(reusability), 이식성, 상호 운용성(interoperability)을 위한 공통 프레임 ???p이다. 하지만 표준 CORBA는 실시간 응용 프로그램 지원을 위한 한계점을 내재하고 있으므로 이를 그대로 적용하기에는 적합하지 않다. 때문에 RT-SIG(Real-Time Interest Special Croup)에서는 실시간 어플리케이션을 지원하기 위한 일련의 작업이 이루어 졌고, 그 산물로는 TAO(The Ace Orb)와 NraD(US Navy Research and Development), lona 사의 Orbix ORB, Lockheed Martin 사에서 개발한 CORBA 등이 있다. 하지만 표준 CORBA 명세서에 따르면 COS(CORBA Object Service)중의 하나인 이벤트 서비스는 실시간 응용프로그램을 지원하기 위해 필요한 실시간 디스패칭과 스케줄링의 보장, 중앙 집중화된 이벤트 필터링과 상관성을 위한 명시, 주기적 처리 지원 등의 기능이 결여되어 있기 때문에 이를 지원하는 실시간 이벤트 서비스가 요구된다. 이러한 요구에 부합하기 위해 필요한 요구사항을 자바 API 형태로 구현하고 향후 성능에 대한 개선 방향을 제시한다.

• 한국사회복지학회:학술대회논문집
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• 2005.04a
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• pp.651-673
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• 2005

Political participation consciousness of social worker is changed and politics participation activity is putting forth with a bud. Currently, the systematic and scientific approach in study of social worker's the political participation is short. This study analyzes the present situation of political participation action and will present political participation action contents and direction in the future. This study may give practical meaning to the social welfare practice and educational scope about what we must do to become a political influence the group. The object of this study is 1229 people in choosing social welfare politics participation investigation committee data. A participation of Korean social worker appeared that a meeting or a demonstration is high when comparing the United States. Also, electioneers, and, government bureaucrat contact, financial contributions is a half experience. The strong variable in explaining social worker's the political participation was a politics efficacy, politics interest. Political efficacy and politics interest, a joining and a political behavior proposal of an association is a influenced factor. Through this result The Civic Volunteer Model is a theory to able to explain social worker's the political participation. Approach growing the political efficacy and politics interest is very important in activating politics participation. Role of a social welfare association or a group was important in order to induce politics participation and concentrate.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.327-339
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• 2010

The cultural contents are a field that originally has a cycle ranged from producers of various contents and distribution consumption. The various object elements composing of an ecosystem of cultural contents in this cycle, and the search of harmonious relations between these objects is becoming an important issue. The ecological approach on the cultural contents field is not being tried authentically until now, in spite of the expansion of interest and usefulness from its application at present, so there is no detailed discussion on the inside of an ecosystem and its action such as confirmation of object elements composing of the ecosystem, interaction principles between objects and object development, principles of co-evolution, etc. achieving common development of all objects composing of the ecosystem. Therefore, the present research aims to confirm object elements composing of the ecosystem of cultural contents through an ecosystem model that has been researched in several fields of the ecosystem and social science, and to seek interaction between objects and each object as well as a development direction of a total ecosystem.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.2
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• pp.297-304
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• 2015

Importance and necessity is enlarged due to globalization. So, English education is diverse and recently applies AR(Augmented Reality) technology to offer immersion and interest. Contents in this paper are Mobile AR contents for training infant English cognition. Our system displays teaching aid objects into 3D models, lets infants listen to English conversation and teaches them everyday English like a play. Considering infants that like games, this system adds an English game about each object of teach aids. To attract infants and parents interest persistingly, We give them immersion and interest by suggesting a different event at each step.

• Journal of the Korean Home Economics Association
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• v.39 no.6
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• pp.1-14
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• 2001

The purpose of this research is to observe the differences in consumers behavior on clothes care based on their different lifestyles and different demographic characteristics. The research surveyed 267 women of 20 years old or older living in Taegu City. SPSS package was used for data analysis and frequency, percentage, average, standard deviation, factor analysis, cluster analysis, ANOVA(analysis of valiance). and Duncan test were used The results are as follows: 1. Lifestyle factors for the research object were found as 'Consumption-oriented','family-oriented', 'Economic-oriented','Leisure-oriented','conservatism-oriented'. The categories for analysis according to these factors are classified into 5 categories, category 1 is Leisure/Family-oriented group, category 2 Consumption/Leisure avoidance-oriented group, category 3 Economy/Family Apathy-oriented group, category 4 Conservatism-oriented group, and category 5 Consumption/Innovation group. Five factors for behavior on clothes care are found, including washing method, interest in detergent, environmental behavior, washing effectiveness, and management after washing 2. Behavior on clothes care based on lifestyle groups showed a meaningful difference according to the following: Interest in detergent(p<.05 level), environmental behavior(p<.01 level), and washing effectiveness(p< .01 level) 3. In demographic variations (such as age, monthly income, monthly expenditure on clothes), there is a meaningful difference in behavior on clothes care, such as interest in detergent or management after washing, according to different age groups. However, no meaningful difference is found in behavior on clothes care according to other demographic characteristics.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.7
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• pp.241-244
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• 2014

Wireless Sensor Network(WSN) has been attracting lots of interest in recent years for smart surveillance systems. WSN-based surveillance systems need to figure out the occurrence or existence of events or objects and to find out where the events have occurred or the objects are present. In our surveillance system, it is needed to give an alarm only when the detected object is human (not pets or rodents) for reducing false alarms and improving the system reliability. In this paper, we propose a height prediction mechanism to determine if the detected object is human using Heron's formula. Finally, we verify the performance of our proposed mechanism through various experiments.

• Journal of KIBIM
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• v.11 no.2
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• pp.24-32
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• 2021

Recently, starting with smart construction research, interest in technology that automates construction site management using artificial intelligence technology is increasing. In order to automate construction site management, it is necessary to recognize objects such as construction equipment or workers, and automatically analyze the relationship between them. For example, if the relationship between workers and construction equipment at a construction site can be known, various use cases of site management such as work productivity, equipment operation status monitoring, and safety management can be implemented. This study derives a real-time object detection platform architecture that is required when performing construction site management using deep learning technology, which has recently been increasingly used. To this end, deep learning models that support real-time object detection are investigated and analyzed. Based on this, a deep learning model development process required for real-time construction site object detection is defined. Based on the defined process, a prototype that learns and detects construction site objects is developed, and then platform development considerations and architecture are derived from the results.

• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.215-224
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• 2011

There have been studying many researches to detect human body and to track one with increasing interest on human and computer interaction. In this paper, we propose the algorithm that automatically extracts joints, linked points of human body, using the ratio of human body under single camera and tracks object. The proposed method gets the difference images of the grayscale images and ones of the hue images between input image and background image. Then the proposed method composes the results, splits background and foreground, and extracts objects. Also we standardize the ratio of human body using face' length and the measurement of human body and automatically extract joints of the object using the ratio and the corner points of the silhouette of object. After then, we tract the joints' movement using block-matching algorithm. The proposed method is applied to test video to be acquired through a camera and the result shows that the proposed method automatically extracts joints and effectively tracks the detected joints.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.5
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• pp.23-34
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• 2004

In this paper we propose a feature point tracking algorithm using optical flow under non-prior taming active feature model (NPT-AFM). The proposed algorithm mainly focuses on analysis non-rigid objects[1], and provides real-time, robust tracking by NPT-AFM. NPT-AFM algorithm can be divided into two steps: (i) localization of an object-of-interest and (ii) prediction and correction of the object position by utilizing the inter-frame information. The localization step was realized by using a modified Shi-Tomasi's feature tracking algoriam[2] after motion-based segmentation. In the prediction-correction step, given feature points are continuously tracked by using optical flow method[3] and if a feature point cannot be properly tracked, temporal and spatial prediction schemes can be employed for that point until it becomes uncovered again. Feature points inside an object are estimated instead of its shape boundary, and are updated an element of the training set for AFH Experimental results, show that the proposed NPT-AFM-based algerian can robustly track non-rigid objects in real-time.

• Journal of Korea Multimedia Society
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• v.7 no.2
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• pp.173-186
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• 2004

This paper proposed the content-based retrieval system as a method for performing image retrieval through the effective feature extraction of the object of significant meaning based on the characteristics of man's visual system. To allow the object region of interest to be primarily detected, the region, being comparatively large size, greatly different from the background color and located in the middle of the image, was judged as the major object with a meaning. To get the original features of the image, the cumulative sum of tile declination difference vector the segment of the object contour had and the signature of the bipartite object were extracted and used in the form of being applied to the rotation of the object and the change of the size after partition of the total length of the object contour of the image into the normalized segment. Starting with this form feature, it was possible to make a retrieval robust to any change in translation, rotation and scaling by combining information on the texture sample, color and eccentricity and measuring the degree of similarity. It responded less sensitively to the phenomenon of distortion of the object feature due to the partial change or damage of the region. Also, the method of imposing a different weight of similarity on the image feature based on the relationship of complexity between measured objects using the fractal dimension by the Boxing-Counting Dimension minimized the wrong retrieval and showed more efficient retrieval rate.