• 방송공학회논문지
• /
• 제10권1호
• /
• pp.14-21
• /
• 2005

본 논문은 보행/이동수신 환경에서 기존의 ATSC(Advanced Television System Committee) 8-VSB DTV 전송규격의 수신성능을 개선한 Enhanced-xVSB를 제안한다. E-xVSB시스템은 normal(8-VSB) 스트림과 enhanced(robust) 스트림을 섞어 전송하며. robust 스트림은 기존의 8-VSB 스트림인 normal stream에 비해 모드에 따라 TOY(Threshold Of Visibility)를 만족하는 SNR을 획기적으로 개선시킬 수 있으며. 이와 같은 robust 스트림은 E-xVSB 전용수신기가 아닌 기존 수신기에서는 MPEG 스트림 역다중화 과정에서 누락되어지므로 기존의 8-VSB 수신기와 하위호환성을 유지한다. E-xVSB는 이동 및 보행수신 성능개선을 위해 reduced constellation 및 enhanced trellis coded modulation기법을 도입하였으며. 사용목적에 따라 Pseudo-2VSB. Enahnced-4VSB. Enhanced-xVSB 및 Hybrid 모드등 다양한 변조기법을 지원한다.

• 방송공학회논문지
• /
• 제11권2호
• /
• pp.242-253
• /
• 2006

본 논문에서는 Zenith/ATI가 제안하여 ATSC DTV 표준 개정안으로 채택된 Enhanced-VSB(E-VSB) 시스템에 대한 필드 테스트 절차 및 결과를 기술하고, 그 결과를 다양한 각도에서 분석한다. 대전에서 수행된 필드 테스트에서는 E-VSB 시스템의 성능 개선 효과를 분석하기 위해 안테나 종류에 따른 실내 및 실외에서의 수신여부, 잡음 마진 및 수신가능 방위각 등을 측정하였다. 또한, 본 논문에서는 E-VSB 시스템과 기존의 8-VSB 시스템 사이의 상호 호환성(backward compatibility)을 검증하고, 테스트 지점 선정, 송신기 및 측정 차량 구성에 관해서 점검한다. 필드 테스트 결과에 의하면, E-VSB 시스템은 실내 수신과 같은 다중경로가 많은 난시청 환경에서 특히 우수한 성능을 보였을 뿐만 아니라 기존 8-VSB 시스템과 상호 호환성을 유지하였다.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 2004년도 정기총회 및 학술대회
• /
• pp.281-284
• /
• 2004

This paper described an Enhanced-xVSB system for improving mobile/pedestrian reception performance to the ATSC DTV 8-VSB transmission standard. E-xVSB system can transmit a mixture of normal (8-VSB) stream and enhanced (robust) stream. The robust stream has a higher threshold of visibility (TOV) compared to the standard stream, and legacy receivers ignore the robust packets. Thus, Enhanced-xVSB system is fully backward compatible with a current ATSC standard. for mobile and portable reception support, E-xVSB system adopts a reduced constellation method as well as enhanced trellis-coded modulation scheme. E-xVSB system supports a variety of enhanced modulation schemes: Pseudo-2VSB, Enhanced-4VSB, modified Enhanced-8VSB and Hybrid-VSB. Proposed E-xVSB system performs well under serious dynamic multipath reception environment.

• Structural Engineering and Mechanics
• /
• 제64권4호
• /
• pp.413-426
• /
• 2017

Probabilistic methods are used in engineering where a computational model contains random variables. The proposed method under development: Direct Optimized Probabilistic Calculation (DOProC) is highly efficient in terms of computation time and solution accuracy and is mostly faster than in case of other standard probabilistic methods. The novelty of the DOProC lies in an optimized numerical integration that easily handles both correlated and statistically independent random variables and does not require any simulation or approximation technique. DOProC is demonstrated by a collection of deliberately selected simple examples (i) to illustrate the efficiency of individual optimization levels and (ii) to verify it against other highly regarded probabilistic methods (e.g., Monte Carlo). Efficiency and other benefits of the proposed method are grounded on a comparative case study carried out using both the DOProC and MC techniques. The algorithm has been implemented in mentioned software applications, and has been used effectively several times in solving probabilistic tasks and in probabilistic reliability assessment of structures. The article summarizes the principles of this method and demonstrates its basic possibilities on simple examples. The paper presents unpublished details of probabilistic computations based on this method, including a reliability assessment, which provides the user with the probability of failure affected by statistically dependent input random variables. The study also mentions the potential of the optimization procedures under development, including an analysis of their effectiveness on the example of the reliability assessment of a slender column.

• Computational Structural Engineering : An International Journal
• /
• 제1권2호
• /
• pp.97-106
• /
• 2001

Safety and serviceability of a planar steel frame are assessed. Attention is turned to the individual main steps in the assessment procedure, i.e., to the definition of loads, selection of transformation model, determination of the response of the structure to the loading, and to the definition of the limiting values (considering safely and serviceability of the structure). The potential of the method using direct Monte Carlo technique as a powerful tool is emphasized.