• ETRI Journal
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• 제38권5호
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• pp.838-846
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• 2016

The objective of digital broadcasting has evolved from providing a plain video service to offering a realistic visual experience. Technologies such as 3DTV and UHDTV have been suggested to achieve this new objective by providing an immersive and stereoscopic visual experience. However, owing to the high bandwidth requirements of such services, the broadcasting industry has faced a challenge to find a new transport mechanism for overcoming the bandwidth limitation. The standardization organizations, the Advanced Television Systems Committee, Digital Video Broadcasting, and Telecommunications Technology Association, have been working on the integration of broadcasting and a broadband network (IP) to resolve the bandwidth issue of realistic video services. This paper introduces a frame-level timeline synchronization and transport system target decoder model for providing a stable 3DTV service over a hybrid network. The experimental results indicate that the proposed technologies can be successfully adopted as a reference model in a broadcast-broadband hybrid 3DTV service and other IP-associated hybrid broadcasting services.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.9-21
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• 2020

The aim of this paper is to predict the Borsa Istanbul (BIST) 30 index movements to determine the most accurate buy and sell decisions using the methods of Artificial Neural Networks (ANN) and Genetic Algorithm (GA). We combined these two methods to obtain a hybrid intelligence method, which we apply. In the financial markets, over 100 technical indicators can be used. However, several of them are preferred by analysts. In this study, we employed nine of these technical indicators. They are moving average convergence divergence (MACD), relative strength index (RSI), commodity channel index (CCI), momentum, directional movement index (DMI), stochastic oscillator, on-balance volume (OBV), average directional movement index (ADX), and simple moving averages (3-day moving average, 5-day moving average, 10-day moving average, 14-day moving average, 20-day moving average, 22-day moving average, 50-day moving average, 100-day moving average, 200-day moving average). In this regard, we combined these two techniques and obtained a hybrid intelligence method. By applying this hybrid model to each of these indicators, we forecast the movements of the Borsa Istanbul (BIST) 30 index. The experimental result indicates that our best proposed hybrid model has a successful forecast rate of 75%, which is higher than the single ANN or GA forecasting models.

• 한국공간구조학회논문집
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• 제11권2호
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• pp.101-110
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• 2011

현재 건축 및 토목 구조물의 진동제어에 있어서 준능동제어에 대한 연구가 많이 수행되고 있으며 준능동제어 시스템은 수동제어와 능동제어의 장점을 가지고 있다. 최근 적은 전기 에너지로 제어가 가능한 MR 감쇠기가 개발되어 준능동제어 분야에 적용되고 있으며 이러한 MR 감쇠기를 스마트 감쇠기라 불리고 있다. 본 논문에서는 실시간으로 제어가 가능한 MR 감쇠기를 인접한 두 건축물 사이에 설치하여 제어성능을 알아보고자 한다. 또한, groundhook과 skyhook 제어 알고리즘을 결합한 복합제어 모델을 인접한 건축물의 진동제어에 적용하여 복합제어 모델의 제어성능을 알아보고자 한다. 복합제어 모델을 적용하여 인접한 두 건축물의 진동제어 성능을 분석한 결과, 복합제어 모델이 인접한 두 건축물의 진동제어에 매우 효과적인 것을 알 수 있었다.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2017년도 제48회 춘계학술대회논문집
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• pp.304-309
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• 2017

본 연구에서는 zonal hybrid RANS/LES 기법을 사용하여 모델 스크램제트 연소기 내에서의 비예혼합 연소 현상에 대한 연구를 수행하였다. 수치 계산을 위한 도메인은 RANS와 LES 영역으로 나누어져 있으며, 이 두 개 영역의 계면은 synthetic eddy method로 처리되었다. 본 연구에서는 독일 항공우주센터에서 실험한 모델 스크램제트 연소기가 사용되었다. 수소 연료를 사용한 실험 결과와 수치해석적 검증을 수행하였다. 크랙된 케로신 연료는 에틸렌과 메탄으로 구성되었으며, 크랙된 케로신 surrogate의 난류연소는 화염편 모델을 사용하여 모사되었다.

• 디지털콘텐츠학회 논문지
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• 제9권3호
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• pp.509-516
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• 2008

컴퓨터 그래픽의 다중 해상도를 지원하는 하이브리드 렌더링 방법을 제안한다. 기본적으로 단말기 환경의 성능과 사용자 요구조건에 따른 그래픽을 위한 다중해상도 방법은 메시를 이용하거나 렌더링 부분에서 텍스쳐의 밉매핑이나 옥트리를 이용한 레이 트레이싱들의 적응 방법이 사용되었다. 본 연구에서는 제안한 하이브리드 렌더링 방법은 지역조명 모델에서 기존의 고로 음영과 평면 음영 라이브러리를 개선한 방법으로 하나의 물체를 이루는 여러 개의 폴리곤에 각각 다른 음영법을 적절하게 적용한다. 실시간 렌더링 시간을 줄일 수 있는 효율적인 대안 방법이 될 수 있으며 이러한 장점이 유비쿼터스 환경에서 다양한 단말기 환경의 그래픽 콘텐츠의 실시간 적응 서비스에 매우 적절하게 사용될 수 있다.

• 경영과학
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• 제28권3호
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• pp.1-13
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• 2011

Hub-and-spoke transportation network is a powerful and useful network structure that takes full advantage of economies of scale on routes between hubs. In recent studies, the network structure is extended to hybrid hub-andspoke that allows direct transportation between spokes. In this study, we considered more extended network structure which is called hybrid multiple hub-and-spoke that has multiple hubs and allows direct transportation between spokes. We developed a mathematical optimization model for automotive service parts transportation planning under hybrid multiple hub-and-spoke network structure. The model suggests a long-term transportation route planning and a short-term vehicle assignment planning. The model is verified by simulation and validated in real world application to Hyundai Mobis automotive service parts transportation planning. From the simulation result, the model reduced the transportation cost about 24.7%, the total distance about 6.8% and the CO2 emissions about 8.8%. In real world application for 6 months from July to December 2010, the model reduced the transportation cost about 9.1% by changing the long-term transportation route without daily vehicle assignment planning.

• Journal of Mechanical Science and Technology
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• 제17권11호
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• pp.1812-1819
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• 2003

This paper presents the effect of injection pressure on the atomization characteristics of high-pressure injector in a direct injection gasoline engine both experimentally and numerically. The atomization characteristics such as mean droplet size, mean velocity, and velocity distribution were measured by phase Doppler particle analyzer. The spray development, spray penetration, and global spray structure were visualized using a laser sheet method. In order to investigate the atomization process in more detail, the calculations with the LISA-DDB hybrid model were performed. The results provide the effect of injection pressure on the macroscopic and microscopic behaviors such as spray development, spray penetration, mean droplet size, and mean velocity distribution. It is revealed that the accuracy of prediction is promoted by using the LISA-DDB hybrid breakup model, comparing to the original LISA model or TAB model alone. And the characteristics of the primary and secondary breakups have been investigated by numerical approach.

• Structural Engineering and Mechanics
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• 제26권4호
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• pp.377-392
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• 2007

A discrete sliding mode control (SMC) method based on hybrid model of neural network and nominal model is proposed to reduce the vibration of flexible structures, which is a robust active controller developed by using a sliding manifold approach. Since the thick boundary layer will reduce the virtue of SMC, the multilayer feed-forward neural network is adopted to model the uncertainty part. The neural network is trained by Levenberg-Marquardt backpropagation. The design objective of the sliding mode surface is based on the quadratic optimal cost function. In course of running, the input signal of SMC come from the hybrid model of the nominal model and the neural network. The simulation shows that the proposed control scheme is very effective for large uncertainty systems.

• International Journal of Naval Architecture and Ocean Engineering
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• 제13권1호
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• pp.260-277
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• 2021

The appropriate radiation conditions of ship motion problem with advancing speed in frequency domain are investigated from a theoretical and practical point of view. From extensive numerical experiments that have been conducted for evaluation of the relevant radiation conditions, a hybrid radiation technique is proposed in which the Sommerfeld radiation condition and the free surface damping are mixed. Based on the comparison with the results of the translating and pulsating Green function method, the optimal damping factor of the hybrid radiation technique is selected, and the observed limitations of the proposed hybrid radiation technique are discussed, along with its accuracy obtained from the numerical solutions. Comparative studies of the forward-speed seakeeping prediction methods available confirm that the results of applying the hybrid radiation technique are relatively similar to those obtained from the translating and pulsating Green function method. This confirmation is made in comparisons with the results of solely applying either the free surface damping, or the Sommerfeld radiation condition. By applying the proposed hybrid radiation technique, the wave patterns, hydrodynamic coefficients, and motion responses of the Wigley III hull are finally calculated, and compared with those of model tests. It is found that, in comparison with the model test results, the three-dimensional Rankine source method adopting the proposed hybrid radiation technique is more robust in terms of accuracy and numerical stability, as well as in obtaining the forward speed seakeeping solution.

• Journal of the Korean Data and Information Science Society
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• 제14권3호
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• pp.641-651
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• 2003

This study suggests the hybrid models for interest rate forecasting using structural changes (or change points). The basic concept of this proposed model is to obtain significant intervals caused by change points, to identify them as the change-point groups, and to reflect them in interest rate forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in the U. S. Treasury bill rate dataset. The second phase is to forecast the change-point groups with data mining classifiers. The final phase is to forecast interest rates with backpropagation neural networks (BPN). Based on this structure, we propose three hybrid models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported model, (2) case-based reasoning (CBR)-supported model, and (3) BPN-supported model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. For interest rate forecasting, this study then examines the prediction ability of hybrid models to reflect the structural change.