• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.39-41
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• 2014

웰니스에 대한 관심이 대두되면서 웰니스와 IT 융합의 대표적인 연구로 웰니스를 위한 추천 시스템 등의 연구가 시도 되었다. 하지만 기존 연구들은 웰니스의 영역의 신체적, 정신적, 정서적, 사회적, 지적 영역 중 한 영역 또는 두 가지 이상의 영역에만 속하기 때문에 웰니스를 위한 추천에 적합하지 않다. 그렇기 때문에 웰니스 영역을 통합하여 관리할 수 있는 콘텐츠 분석 기법이 필요하다. 본 논문에서는 웰니스를 위한 콘텐츠 추천을 위해 웰니스 영역이 통합되어 반영될 수 있는 콘텐츠 메타데이터 구성을 제안한다. 이를 통해 콘텐츠의 웰니스적인 특징을 분석할 수 있고, 나아가 웰니스를 위한 맞춤화된 추천 서비스가 가능해질 것이다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.85-88
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• 2002

얼굴 영역을 검출하는 데 있어서 가장 기본적이면서도 중요한 정보가 컬러 정보이다. 하지만 컬러정보는 사용하는 컬러모델링 및 얼굴의 Skin Color를 평가하는 범위를 어떻게 정의하느냐에 따라 얼굴의 검출 성능에 많은 영향을 끼친다. 본 논문에서는 얼굴 영역을 검출하기 위한 첫 번째 조건으로 Skin color영역을 색상값과 다양한 데이터로부터 명암도에 따른 Skin color의 분포와 비율을 학습 함으로써 Skin color 영역을 검출 성능을 높이며, 퍼지 아트 알고리즘을 이용하여 얼굴과 비얼굴 데이터에 인증함으로써 얼굴 영역의 검출 성능을 높인다.

• Spatial Information Research
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• v.18 no.3
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• pp.23-32
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• 2010

LIDAR data are useful for forest applications such as bare-earth DEM generation for forest areas, and estimation of tree height and forest biomass. As a core preprocessing procedure for most forest applications, this study attempts to develop an efficient method to detect forest areas from LIDAR data. First, we suggest three perceptual cues based on multiple return characteristics, height deviation and spatial distribution, being expected as reliable perceptual cues for forest area detection from LIDAR data. We then classify the potential forest areas based on the individual cue and refine them with a bi-morphological process to eliminate falsely detected areas and smoothing the boundaries. The final refined forest areas have been compared with the reference data manually generated with an aerial image. All the methods based on three types of cues show the accuracy of more than 90%. Particularly, the method based on multiple returns is slightly better than other two cues in terms of the simplicity and accuracy. Also, it is shown that the combination of the individual results from each cue can enhance the classification accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.6
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• pp.1397-1402
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• 2010

While MOST is an in-vehicle network which transfers concurrently synchronous data, asynchronous data and control data, it provides high bandwidth synchronous section which can transfer video and audio without buffering. To transfer real time data using synchronous section, connections between source node and sink node, and channel allocation for connections are required. In this paper, we proposed synchronous data transfer method and channel allocation method by constructing MOST network after designing and implementing channel allocation module for using synchronous data section.

• The Journal of Korean Association of Computer Education
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• v.15 no.6
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• pp.75-82
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• 2012

The sensor registry system has been proposed to interpret and process semantics of sensor data independently of heterogeneous sensor networks. However, the existing sensor registry system provides the static processing method. In other words, the existing system reduces the overall performance because it executes unnecessary operations and does not consider data scope to be used. To resolve the problem of the existing sensor registry system, this paper proposes a performance enhancement model based on sensor metadata reusability and scoping. The proposed model in this paper provides a function that can decide a proper scope of sensor metadata from the sensor registry system. The proposed model improves the overall performance by providing reusability of sensor metadata. This paper also shows the advantages of the proposed model through the comparative performance evaluation.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.107-109
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• 2000

최근에 데이터베이스 혹은 그 응용분야에서 이미지 데이터와 같은 멀티미디어 정보 처리에 대한 관심이 고조되고 있다. 따라서 이미지 데이터를 효율적으로 저장하고, 사용자가 원하는 질의 결과를 신속히 제공하는 것이 중요한 연구분야이다. 본 연구에서는 이미지 데이터에 대한 질의를 처리하기 이한 이미지 데이터로부터의 정보 추출과 데이터 인덱싱 방법에 관하여 논하고, 구축된 인덱싱 구조에 효율적인 질의 처리가 가능하도록 VP(Vantage Point)를 이용하여 영역질의를 처리하는 방법을 제시하였다. 또한 실험을 통하여 제안된 방법의 효율성을 나타내었다.

• The KIPS Transactions:PartA
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• v.10A no.1
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• pp.59-68
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• 2003

3-D data modeling of a volumetric scattered data is highly demanded for geological structure inspection, environment visualization and supersonic testing. The data used in these area are generally irregularly scattered in a volume data space, which are much different from the structured points data (cuberille data) used in Marching cube algorithm. In this paper, first we explore a volume modeling method for the scattered data based on tetrahedral domain. Next we propose a method for solving the ambiguity of tetrahedral domain decision using asymptotic decider criterion. Last we implement a simple visualization system based on the proposed asymptotic decider criterion and compare it with a system based on sphere criterion. In deciding tetrahedral domain, sphere criterion considers only positional values but asymptotic decider criterion considers not only positional values but also functional values, so asymptotic decider criterion is more accurate on deciding tetrahedral domain than sphere criterion.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.6
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• pp.137-144
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• 2018

Vehicular Ad-hoc Networks (VANETS) have enabled to provide a variety of applications such as accident notification, content usage, etc. These applications have spatio-temporal data which have an interesting region and a lifetime according to their properties. However, geocasting protocols to deliver data to an interesting region can provide data to all vehicles in the region through a single transmission only at the current time, but cannot provide data to vehicles passing through the region during the lifetime of the data. Thus, we propose a spatio-temporal geocasting protocol called STGP using a regional caching scheme to send data to vehicles in an interesting region during a data lifetime in VANETs. For efficient and reliable regional caching, the proposed protocol uses the beacon-based data sharing, the extra caching elimination, and the distance-based caching exchange. Simulation results verify that the proposed protocol achieves more reliable and efficient data delivery compared with the existing protocol.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.57-66
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• 2017

The academic research on data governance is still in its infancy and focused on the definition of concept and components. However, we need to study of evaluation on data governance to help make decision of establishment. The purpose of this paper is to develop of attribute index in data governance framework. Therefore, in this paper, we used RGT (repertory grid technique) and Laddering techniques for experts interview and survey for validation of disinterested third party experts and analysis statistically. We completed data governance attribute index which is composed of data compliance area including 8 components, data quality area including 16 components and data organization area including 7 components. Moreover, the evaluation attributes is prioritized and ranked using the AHP. As a result of the study, this paper can be used for the base line data in introducing and operating data governance in an IT company.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.699-702
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• 2001

본 논문에서는 비트 플래인 상에서 지역적인 복잡도를 이용하여 커버 이미지를 분할한 후 비밀 데이터를 삽입하는 스테가노그라피 방법을 연구하였다. 이 방법은 복잡도를 이용하여 비트 플래인 이미지를 informative 영역과 noise-like 영역으로 나누고, noise-like 영역에 데이터를 삽입한다. 삽입되는 데이터가 간단하다면 image conjugation을 적용하여 복잡한 형태로 만들어 커버 이미지에 삽입한다. 본 연구에서는 삽이 용량을 증가시키기 위해 복잡도를 모든 비트 플래인에 적용시키지 않고, 선택적으로 적용하여 46%의 최대 삽입용량과 화질의 증가를 얻을 수 있었다.