• Title/Summary/Keyword: Fusion architecture

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Implementation of Integrated CPU-GPU for Efficient Uniform Memory Access Method and Verification System (CPU-GPU간 긴밀성을 위한 효율적인 공유메모리 접근 방법과 검증 시스템 구현)

  • Park, Hyun-moon;Kwon, Jinsan;Hwang, Tae-ho;Kim, Dong-Sun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.11 no.2
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    • pp.57-65
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    • 2016
  • In this paper, we propose a system for efficient use of shared memory between CPU and GPU. The system, called Fusion Architecture, assures consistency of the shared memory and minimizes cache misses that frequently occurs on Heterogeneous System Architecture or Unified Virtual Memory based systems. It also maximizes the performance for memory intensive jobs by efficient allocation of GPU cores. To test between architectures on various scenarios, we introduce the Fusion Architecture Analyzer, which compares OpenMP, OpenCL, CUDA, and the proposed architecture in terms of memory overhead and process time. As a result, Proposed fusion architectures show that the Fusion Architecture runs benchmarks 55% faster and reduces memory overheads by 220% in average.

A Survey on Track Fusion for Radar Target Tracking (레이다 항적융합 연구의 최근 동향)

  • Choi, Won-Yong;Hong, Sun-Mog;Lee, Dong-Gwan;Jung, Jae-Kyung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.1
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    • pp.85-92
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    • 2008
  • An architecture for multiple radar tracking systems can be broadly categorized according to the methods in which the tracking functions are performed : central-level tracking and distributed tracking. In the central-level tracking, target tracking is performed using observations from all radar systems. This architecture provides optimal solution to target tracking. In distributed tracking, tracking is performed at each radar system and the composite track information is formed through track fusion integrating multiple radar-level tracks. Track-to-track fusion and track-to-track association are required to perform in this architecture. In this paper, issues and recent research on the two tracking architectures are surveyed.

Accelerating Group Fusion for Ligand-Based Virtual Screening on Multi-core and Many-core Platforms

  • Mohd-Hilmi, Mohd-Norhadri;Al-Laila, Marwah Haitham;Hassain Malim, Nurul Hashimah Ahamed
    • Journal of Information Processing Systems
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    • v.12 no.4
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    • pp.724-740
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    • 2016
  • The performance issues of screening large database compounds and multiple query compounds in virtual screening highlight a common concern in Chemoinformatics applications. This study investigates these problems by choosing group fusion as a pilot model and presents efficient parallel solutions in parallel platforms, specifically, the multi-core architecture of CPU and many-core architecture of graphical processing unit (GPU). A study of sequential group fusion and a proposed design of parallel CUDA group fusion are presented in this paper. The design involves solving two important stages of group fusion, namely, similarity search and fusion (MAX rule), while addressing embarrassingly parallel and parallel reduction models. The sequential, optimized sequential and parallel OpenMP of group fusion were implemented and evaluated. The outcome of the analysis from these three different design approaches influenced the design of parallel CUDA version in order to optimize and achieve high computation intensity. The proposed parallel CUDA performed better than sequential and parallel OpenMP in terms of both execution time and speedup. The parallel CUDA was 5-10x faster than sequential and parallel OpenMP as both similarity search and fusion MAX stages had been CUDA-optimized.

Development of a system architecture for an advanced autonomous underwater vehicle, ORCA

  • Choi, Hyun-Taek;Lee, Pan-Mook
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1791-1796
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    • 2004
  • Recently, great improvements have been made in developing autonomous underwater vehicles (AUVs) using stateof- the-art technologies for various kinds of sophisticated underwater missions. To meet increasing demands posed on AUVs, a powerful on-board computer system and an accurate sensor system with an well-organized control system architecture are needed. In this paper, a new control system architecture is proposed for AUV, ORCA (Oceanic Reinforced Cruising Agent) which is being currently developed by Korea Research Institute of Ships and Ocean Engineering (KRISO). The proposed architecture uses a hybrid architecture that combines a hierarchical architecture and a behavior based control architecture with an evaluator for coordinating between the architectures. This paper also proposed a sensor fusion structure based on the definition of 4 categories of sensors called grouping and 5-step data processing procedure. The development of the AUV, ORCA involving the system architecture, vehicle layout, and hardware configuration of on-board system are described.

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Effect of IOA and Media on Production of Somatic Hybrid by the Asymmetric Protoplast Fusion Between Three Solanum Species

  • Kim Hag-Hyun;Kwon Soo-Jeong;Shin Un-Dong
    • Korean Journal of Plant Resources
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    • v.19 no.3
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    • pp.418-421
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    • 2006
  • In this study, we surveyed the influence of IOA (iodoacetamide) and media upon protoplast fusion for the efficient production of the somatic hybrid among S. sisymbriifolium and other Solanum species (S. intergrifolium and S. toxicarium). Regardless of a breed, as the IOA concentration increases, the cell division tends to decrease. As the influence of the media on the colony formation, we could get 5 colonies from the fusion of S. sisymbriifolium and IOA-treated S. integrifolium protoplast, but none was observed in other fusions. As a result of analyzing their IDH isozyme, we found a somatic hybrid in 2 objects.

De-correlated Compression Filter Based on Time-Propagated Measurement Fusion

  • Lee, Hyung-Keun;Lee, Jang-Gyu;Jee, Gyu-In;Park, Chan-Gook
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.76.2-76
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    • 2001
  • In this paper, a new fusion architecture consisting of a host filter and a do-correlated compression filter is proposed based on propagated measurement fusion. In the proposed architecture, the host filter estimates the system states in long-term sense based on the measurements from the beginning to the current time. The de-correlated compression filter assists the host filter by providing fusion results in short-term sense based on the measurements within a block of time. The proposed de-correlated compression filter alleviates computational burden of the host filter by reducing the maximum amount of instantaneous computation, and provides an efficient environment for real-time fault detection and estimation.

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A Fundamental Study on the Development of the Fusion Education Curriculum in the Field of Architecture and Urban: based on Practitioner-oriented Survey (건축·도시 분야 융복합 교육과정 개발을 위한 기초연구 -실무자 중심의 설문조사를 기반으로-)

  • Hong, So-Hee;Yoo, Seung-Kyu;Yuh, Ok-Kyung;Kim, Jae-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.5
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    • pp.3491-3498
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    • 2015
  • The purpose of this study is to identify demand of fusion education in the field of architecture and urban, according to architecture and urban market changing, product changing, increasing fusion education demand. We conducted online surveys targeting construction and non construction field practitioners so that we want to identify consumer's needs about fusion education in the field of architecture and urban. Research findings can be summarized in three parts. First, practitioners need to fuse business-related majors (Frequency changing ratio : financing(716.7%), management(633.3%), planning(454.5%) etc.) and traditional majors. Second, the survey results show that 79 percent of those questioned were in favor of switching the cyber and off-line operation methods for fusion education. They require the complementary education system between off-line and cyber education based on education accessability. Third, the survey results show that 70.9 percent of those questioned were in favor of limited freestyle(Freedom of choices without required subjects). The curriculum should be arranged according to the flow of construction business process including fusion subjects.

A Study on a Information Fusion Architecture of Avionics Realtime Track and Tactical Data Link (항공기 센서 실시간 항적 정보와 항공전자 전술데이터링크 정보융합 구조 연구)

  • Kang, Shin-Woo;Lee, Young Seo;Park, Sang-Woong;Ahn, Tae-Sik
    • Journal of Advanced Navigation Technology
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    • v.26 no.5
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    • pp.325-330
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    • 2022
  • The sensors of aircraft are necessity for mission performance and fusion process of data from them is applied for increase of mission efficiency and decrease of aircraft pilot workload. Data fusion is applied and developed to provide pilot a series of more processed data format about a specific target from sensors in aircraft. Military aircraft currently in operation are linked with a tactical data link such as Link-16 to display improved tactical situation to pilots to increase mission efficiency. By fusing the sensor data with improved accuracy obtained as the sensors' performance mounted on the aircraft become higher and the tactical situation information received through the tactical data link, it provides the pilot with a highly reliable tactical situation and mission environment, and expects efficient mission performance and high survivability. In this paper, a fusion architecture to produce fused data with realtime information from the sensors and data through a tactical data link is shown.

A flexible, full-color OTFT-OLED display

  • Yagi, I.;Hirai, N.;Miyamoto, Y.;Noda, M.;Imaoka, A.;Yasuda, R.;Yoneya, N.;Nomoto, K.;Yumoto, A.;Kasahara, J.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.1627-1630
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    • 2008
  • We have demonstrated a flexible and full-color OTFT-OLED display. The display has a top-emitting pixel structure with a resolution of 80 ppi, which can be achieved by developed integration architecture of OTFTs. The 0.3-mm-thick flexible display exhibits peak brightness over 100 nit with a contrast ratio greater than 1000:1.

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Metalevel Data Mining through Multiple Classifier Fusion (다수 분류기를 이용한 메타레벨 데이터마이닝)

  • 김형관;신성우
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.551-553
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    • 1999
  • This paper explores the utility of a new classifier fusion approach to discrimination. Multiple classifier fusion, a popular approach in the field of pattern recognition, uses estimates of each individual classifier's local accuracy on training data sets. In this paper we investigate the effectiveness of fusion methods compared to individual algorithms, including the artificial neural network and k-nearest neighbor techniques. Moreover, we propose an efficient meta-classifier architecture based on an approximation of the posterior Bayes probabilities for learning the oracle.

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