• Journal of Satellite, Information and Communications
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• v.7 no.3
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• pp.99-104
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• 2012

The United States will proceed with the effort to modernize the GPS system, and one of its main content is to provide L5 signal. L5 will be transmitted in a radio band reserved exclusively for aviation safety services. And, L5, in combination with L1, will improve the position accuracy via ionospheric correction and robustness via signal redundancy. However, The acquisition processing time of L5 takes longer than that of L1 as the code length of L5 is 10 times longer than that of L1. To reduce this acquisition processing time, a higher number of correlators in the aquisition module should be used. However, there is a problem that this causes increase in the complexity of the correlator configuration and the computation power. So, in this paper, we propose L5 signal tracking scheme using tracking results in the GPS L1/L5 receiver. The proposed scheme could reduce the hardware complexity as the GPS L5 signal acquisition module is not needed, and provide fast and stable tracking of L5 signal by aiding L1 tracking results such as PRN, the code phase synchronization, and the Doppler frequency. The feasibility of the proposed scheme is demonstrated through simulation results.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.6
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• pp.181-190
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• 2021

Sports activities conducted by multiple people are difficult to proceed in a situation where a widespread epidemic such as COVID-19 is spreading, and this causes a lack of physical activity in modern people. This problem can be overcome by using online exercise contents, but it is difficult to check detailed postures such as during face-to-face exercise. In this study, we present a model that detects posture and tracks movement using IT system for better non-face-to-face exercise content management. The proposed motion tracking model defines a body model with reference to motion analysis methods widely used in physical education and defines posture and movement accordingly. Using the proposed model, it is possible to recognize and analyze movements used in exercise, know the number of specific movements in the exercise program, and detect whether or not the exercise program is performed. In order to verify the validity of the proposed model, we implemented motion tracking and exercise program tracking programs using Azure Kinect DK, a markerless motion capture device. If the proposed motion tracking model is improved and the performance of the motion capture system is improved, more detailed motion analysis is possible and the number of types of motions can be increased.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.261-282
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• 2024

This study proposed and evaluated electroencephalography (EEG)-based and eye-tracking-based methods to determine relevance by utilizing users' implicit relevance feedback while navigating content in a digital library. For this, EEG/eye-tracking experiments were conducted on 32 participants using video, image, and text data. To assess the usefulness of the proposed methods, deep learning-based artificial intelligence (AI) techniques were used as a competitive benchmark. The evaluation results showed that EEG component-based methods (av_P600 and f_P3b components) demonstrated high classification accuracy in selecting relevant videos and images (faces/emotions). In contrast, AI-based methods, specifically object recognition and natural language processing, showed high classification accuracy for selecting images (objects) and texts (newspaper articles). Finally, guidelines for implementing a digital library interface based on EEG, eye-tracking, and artificial intelligence technologies have been proposed. Specifically, a system model based on implicit relevance feedback has been presented. Moreover, to enhance classification accuracy, methods suitable for each media type have been suggested, including EEG-based, eye-tracking-based, and AI-based approaches.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.139-143
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• 2007

양방향 데이터 방송 기술이 급속도로 발전하고 전세계적으로 표준화가 진행되고 있는 가운데 데이터 방송 콘텐츠에 대한 수요는 제자리를 맴돌고 있다. 이는 특화된 데이터 방송 콘텐츠에 대한 필요성을 의미하는 것으로 본 논문에서는 시나리오를 기반으로 기존 방송 콘텐츠를 활용하여 데이터 방송 부가 콘텐츠를 제작하는 모델안을 제안한다. 연구 모델은 1)시나리오 기반으로 기존 데이터 방송 콘텐츠 분석, 2)분석된 객체 아이템 메타데이터 스키마 설계 3)부가 콘텐츠 화면 구현의 단계로 구성한다. DMB 단말환경에서 가볍게 움직이는 콘텐츠 제작을 위해 메타데이터를 25개로 제한하고 이 안에서 Content Description, Shot Detection, Object Tracking로 메타데이터를 구분하여 스키마 다이어그램을 설계한다. 본 논문은 기존의 익숙한 콘텐츠를 재가공하여 제공함으로 DMB 수요 활성화 측면과 CP의 제작 비용감소 측면에서 긍정적인 영향을 끼칠 것으로 예상된다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.131-133
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• 2016

본 논문은 연속적인 비디오 시퀀스에서 움직이는 객체의 영역을 효율적으로 분할하기 위하여 커널 기반 객체 추적과 Grab-Cut 알고리즘을 결합한 비디오 영역 분할 방법을 제안한다. 제안 방법에서는 추적 목표 객체의 초기 위치를 사각영역으로 선택하면, 사각의 외부 영역을 배경색상으로 인지하고, 배경 색상을 고려한 목표 객체의 주요 색상을 분석한다. 이를 기반으로 커널기반 객체 추적 기법을 적용하여 빠르게 객체의 영역을 추출한다. 추적한 각 객체의 영역에서 중앙 객체 영역과 배경 영역의 색 정보를 초기값으로 하여 Grab-Cut 알고리즘을 수행하고 사각형 형태가 아닌 객체의 실루엣 최적화된 영역으로 분할한다. 제안 방법을 스포츠 방송, 광고, 영화 등의 특수 효과로 활용되고 있는 stromotion 영상 생성에 적용하기 위하여 프레임별 추출된 객체의 영상을 새로운 프레임 영상에 합성하는 작업을 수행하여, 초당 10 프레임의 처리 속도에서 원하는 스트로모션 효과 영상을 생성하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.37-39
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• 2014

현대에 집필되는 소설이나 시나리오 등의 스토리는 점점 플롯이 복합해지고 캐릭터가 입체적으로 변해가고 있다. 여러 개의 이야기가 동시다발로 진행되고, 다양한 캐릭터들이 복잡한 관계로 얽히면서 갈등 구조를 형성하기 때문에 작가는 창작 과정에서 작품 속 캐릭터들에 대한 정보를 정확하게 인지하고 관리해야 하는 부담이 점점 커지고 있다. 창작 과정에서 생산되는 수많은 정보들에 대한 작가의 인지적 부담은 정보에 대한 작가의 잘못된 기억과 혼란을 초래할 수 있으며, 이는 결국 작품의 완전성과 무결성을 저해하는 요인이 된다. 따라서 본 논문에서는 작가가 작성한 원고를 분석해 캐릭터의 대화 이력을 추적하고, 캐릭터가 아는 정보와 모르는 정보가 무엇인지 추적하여 작품의 모순을 막고 작가의 창작 활동을 도와주는 작품 분석 시스템을 소개한다.

• Journal of the Korea Society of Computer and Information
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• v.20 no.10
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• pp.85-90
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• 2015

The purpose of this study is to establish the contents of virtual reality for a patient who suffers from various diseases and needs Upper-limbs Rehabilitation. First, the system provides the movement content to remote patient. Then system is tracking information in the joints by using Kinect Sensor. And similarity comparison of a given content to diagnose the movement of the patient. The tracked movement information is stored in the database with similarity and is delivered to the rehabilitation therapist. The result of this study will enhance the effectiveness and concentration of the rehabilitation therapy and be used as basic data evaluating the function of the Upper-limbs Rehabilitation.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1662-1664
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• 2007

As the logistic environment of digital contents is rapidly changing, the protection of the digital rights for digital content has been recognized as one of critical issues. Digital Right Management(DRM) has taken much interest Internet Service Provider(ISP), authors and publishers of digital content as an interested approach to create a trusted environment for access and use of digital resources. This paper propose an interested digital rights protection scheme using license agent to address problems facing contemporary DRM approached : static digital rights management, and limited application to on-line environment. We introduce a dynamic mission control technology to realize dynamic digital rights management. And we incorporate license agent to on- and off-line monitoring and tracking. The proposed system prevent illegal access and use by using PKI security method, real time action monitoring for user, data security for itself.

• International Journal of Contents
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• v.12 no.2
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• pp.31-36
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• 2016

The purpose of this research is to realize interactive art based on user's motions information using real time internet search terms. For this purpose, real-time search terms and related news information were extracted from three domestic and foreign portal sites, and the extracted information was used to generate content for interaction with the user. For interaction between the generated content and the user, a motion-based interactive technology that optimizes the intentions and experiences of the user was developed. A motion-based interactive system can be used to develop an immersive interface that induces user interest.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.114-120
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• 2018

The purpose of this paper is to develop simulations that can be used for virtual education in dentistry. This development goal is to allow dental students to learn the necessary surgical techniques at the point of their choice, not going into the operating room, away from time, space, and physical limits. In this paper configuration, the optimization method is applied convergent, and when the operation of the VR contents is performed, the content data is extracted from the interaction analysis formed in the VR engine, and the data is processed by the content algorithm. It also computes events and dental operations generated within the 3D engine programming and generates corresponding events through data processing according to the input signal. The visualization information is output to the HMD using the rendering information. In addition, the operating room environment was constructed by studying lighting and material for actual operating room environment. We applied the ratio of actual space to virtual space and the ratio between character and actual person to create a spatial composition at a similar rate to actual space.