• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.387-390
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• 2009

최근 한국정보통신기술협회(TTA)에서는 지상파 DMB(Digital Multimedia Broadcasting) ECG(Electronic Content Guide) XML(eXtensible Markup Language) 표준의 제정 및 개정 작업을 완료하였다. 지상파 DMB ECG XML 표준은 종래의 DMB EPG(Electronic Program Guide) 표준에서 제공되었던 서비스를 기능적으로 수용하면서 프로그램내의 특정 세그먼트 단위까지 검색 및 브라우징을 통하여 원하는 콘텐트를 보다 효율적으로 접근, 소비 및 저장이 가능하도록 하는 향상된 서비스를 제공하도록 정의하였다. 또한, 단일 포맷에서 모든 DMB 콘텐트 내용들을 결합하는 DMB AF(ISO/IEC 23000-9:2008; DMB Application Format) 파일 포맷을 포함하고 있다. 한국전자통신연구원에서는 이러한 지상파 DMB ECG XML 표준 및 서비스의 유효성 검증을 위해 메타데이터의 저작 단계에서 전송 및 단말에 이르는 맞춤시청형 방송 시스템을 개발하였다. 이러한 일련의 과정에서 DMB ECG 메타데이터는 맞춤시청형 서비스 제공을 위해 전달되는 핵심 요소로써, 디지털방송 콘텐트에 대한 상세 정보의 기술을 위해 새로운 메타데이터를 생성하거나 기존에 생성된 메타데이터를 재편집하는 과정을 효과적으로 수행하기 위한 메타데이터 저작도구가 필수적으로 필요하다. 본 논문은 사용자 친화적인 DMB ECG 메타데이터 및 DMB AF 저작도구의 개발에 대해 기술한다.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.4
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• pp.54-64
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• 1999

This paper proposes an efficient handwritten English word recognition scheme which can be applied practical applications. To effectively use the lexicon which is available in most handwriting related applications, the lexicon entries are introduced in the early stage of the recognition. Dynamic programming is used for matching between over-segmented character segments and letters in the lexicon entries. Character segmentation statistics which can be obtained while the training is being performed are used to adjust the matching window size. Also, the matching results between the character segments and the letters in the lexicon entries are cached to avoid repeat of the same computation. In order to verify the effectiveness of the proposed methods, several experiments were performed using thousands of word images with various writing styles. The results show that the proposed methods significantly improve the matching speed as well as the accuracy.

• Spatial Information Research
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• v.9 no.2
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• pp.291-307
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• 2001

In today's environmental engineering practice, many technologies such as GIS have been adopted to analyze chemical and biological process in water bodies and pollutants movements on the land surface. However, the linkage between spatially represented land surface pollutants and the in-stream processes has been relatively weak. This lack of continuity needs to develop a method in order to link the spatially-based pollutant source characterization with the water quality modeling. The objective of this thesis was to develop a two-way(forward and backward) link between ArcView GIS software and the USEPA water quality model, WASP5. This thesis includes a literature review, the determination of the point source and non-point source loadings from WASP5 modeling, and the linkage of a GIS with WASP5 model. The GIS and model linkage includes pre-processing of the input data within a GIS to provide necessary information for running a model in the forms of external input files. The model results has been post-processed and stored in the GIS database to be reviewed in a user defined form such as a chart, or a table. The interface developed from this study would provide efficient environment to support the easier decision making form water quality management.

• Journal of Broadcast Engineering
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• v.10 no.1 s.26
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• pp.57-67
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• 2005

In the paper, we propose a TV-anytime codec that encodes and decodes TV-Anytime metadata according to the TV-Anytime specification so that the resulting binary TV-Anytime metadata can be transferred efficiently through the broadcasting network where the data bandwidth is restricted.. We describe the broadcasting environment that the TV-Anytime codec will be applied to, and the required functionalities of the software modules in detail. For the design of software modules, we show how to Implement the modules for metadata fragmentation. encoding, decoding, and the fragments management. The proposed TV-Anytime codec can be utilized as the core components to a personalized digital broadcasting system providing ECG(Electronic Content Guide) and segmentation information services according to TV-Anytime standard.

• Journal of KIISE
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• v.44 no.6
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• pp.628-636
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• 2017

HTTP adaptive streaming is a technique that improves the quality of experience by storing various quality videos on the server and requesting files of the appropriate quality based on network bandwidth. However, it is difficult to measure the actual bandwidth in wireless networks with frequent bandwidth changes and high loss rate. Frequent quality changes and playback interruptions due to bandwidth measurement errors degrade the quality of experience. We propose a technique to estimate the available bandwidth by measuring the jitter, which is the derivation of delay, on a packet basis and assigning a weight according to jitter. The proposed scheme reduces the number of quality changes and mitigates the buffer underflow by reflecting less bandwidth change when high jitter occurs due to rapid bandwidth change. The experimental results show that the proposed scheme improves the quality of experience by mitigating buffer underflow and reducing the number of quality changes in wireless networks.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.8
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• pp.369-376
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• 2016

Among various vehicle extraction techniques, OBPCA (Object-Based Point Cloud Analysis) calculates features quickly by coarse-grained rectangles from top-view of the vehicle candidates. However, it uses only a top-view rectangle to detect a vehicle. Thus, it is hard to extract rectangular objects with similar size. For this reason, accuracy issue has raised on the OBPCA method which influences on DEM generation and traffic monitoring tasks. In this paper, we propose a novel method which uses the most distinguishing vertical elevations to calculate additional features. Our proposed method uses same features with top-view, determines new thresholds, and decides whether the candidate is vehicle or not. We compared the accuracy and execution time between original OBPCA and the proposed one. The experiment result shows that our method produces 6.61% increase of precision and 13.96% decrease of false positive rate despite with marginal increase of execution time. We can see that the proposed method can reduce misclassification.

• The Transactions of the Korea Information Processing Society
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• v.3 no.6
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• pp.1375-1385
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• 1996

As there has been much demands for processing multimedia data, a storage manager for multimedia data makes much effects on system performance. Because the size of multimedia data is usually very large, disk I/O for the data consumes much time and causes the system performance to be decreased. Therefore, it makes a better effect on system performance that a multimedia data storage manager decreases its disk I/O by the buffer management of multimedia data. This paper proposes a buffer management technique which allocates the buffer to be equal to its corresponding segment which consists of physically continuous disk page set and is disk management unit for multimedia data in many multimedia data storage manager. As the size of buffer varies, it also proposes a buffer replacement policy which consider not only reference behavior of buffer but also buffer size The proposed multimedia data buffer management technique is implemented in KORED/STORM which is a storage manager for multimedia data.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.1C
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• pp.73-81
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• 2005

We propose an automatic modulation recognition scheme which extracts pre-defined key features from the received signal and then applies equal gain combining method to determine the used modulation. Moreover, we compare and analyze the performance of the proposed algorithm with that of decision-theoretic algorithm. Our scheme extracts five pre-defined key features from each data segment, a data unit for the key feature extraction, which are then averaged over all the segments to recognize the modulation according to the decision procedure. We check the performance of the proposed algorithm through computer simulations for analog modulations such as AM, FM, SSB and for digital modulations such as FSK2, FSK4, PSK2, and PSK4, by measuring recognition success rate varying SNR and data collection time. The result shows that the performance of the proposed scheme is comparable to that of the decision-theoretic algorithm with less complexity.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.89-98
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• 2010

Recently supply of Internet is bringing a important change in medical environments. The hospitals which had a different system is required the system that can efficiently share and exchange medical information. In order to transmission medical information between systems, the Health Level Seven(HL7) interface engine development that can convert medical data to HL7 messages is necessary. The HL7 is a standard protocol for data exchange in healthcare environments. In this paper, I implemented HL7 interface engine for Alzheimer's disease in elderly care facility. The interface engine is composed of the client system and the server system. The client system inputs user's medical care data for the aged, and builds them into HL7 message stream. HL7 messages in the client system transmitted over TCP/IP protocol to the server system. The server system parses and validates this messages stream to the segments and fields and then transmits acknowledgement to the client system. I implemented it using the Java and JavaCC. The study of interface engine implementation can be used meaningfully in electronic health record, telemedicine system, and medical information sharing among various healthcare institutions.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.177-177
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• 2017

최근 ADCP 등 첨단장비를 활용한 유량 및 하상측정, 각종 하천기본계획 수립 시 확보되는 횡단측정 자료, 식생 및 서식처 등 하천환경과 생태자료, 드론 등을 활용한 영상자료 등 방대한 하천 정보가 확보되고 있으며, 다기능보 등 다양한 하천구조물 및 친수구역이 증가하는 등 이전과 비교하여 괄목할만한 수준으로 정보의 양이 증가하고 있다. 이에 따라 다양한 하천정보를 체계적으로 저장, 관리, 공유하기 위하여 표준화된 데이터 모델(Data Model)의 수립이 필요하다. 하천 정보의 경우 하천 시설물, 하천 단면측량 자료, 하천 시계열 측정 자료 등이 특정 하천을 중심으로 관리되는 반면, 기존 데이터 모델 연구에서는 특정 주제도에 기반하여 하천 정보가 레이어 형식으로 제공되어 상호 연계되지 않아 하천 정보의 효율적 관리측면에서 적합하지 않았다. 또한 신규 정보를 추가 시 기존 데이터 모델의 과다한 수정이 필요하고, 기존의 데이터 모델의 경우 표준화되지 않아 활용성이 매우 낮고, 유역중심으로 구성되어 특정 조건에 해당되는 하천 정보 검색이 어려운 단점이 존재하였다. 본 연구에서는 기존의 주제도 및 레이어 형식으로 구성되어 있던 데이터 모델 형식에서 벗어나 하천흐름선을 기준으로 데이터모델을 구축하는 방안을 제시하였으며, 하천흐름선과 하천 시설물, 단면 측량 자료, 계측 자료를 순차적으로 수용하고, 기존에 존재하지 않던 하천 정보의 추가 시 기존 데이터 모델의 형식을 수정하지 않고 유연하게 대응할 수 있는 관계형 데이터 모델을 구상하였다. 또한, 하천과 유역의 논리적 저장방안 고려하여 한 개의 하천을 다수의 세그먼트(Reach)로 구분하여 코드(Reach Code)를 부여하는 방안을 제시하였으며, 구상한 데이터모델을 통하여 국가하천과 지방하천 등 유역의 다양성을 포함하는 한강권역의 섬강유역을 시범하천으로 구축하였다. 제시된 하천 정보 데이터 모델을 활용하여 DB를 구축한다면 하천망을 기준으로 하천 정보가 저장되고, 기존의 유역단위의 하천 정보 제공 방식에서 하천과 유역을 모두 포함하여 검색 가능한 시스템을 구축하여 하천 정보의 관리와 제공이 수월해질 것으로 기대된다.