• Title/Summary/Keyword: SMFD

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How to Integrate SMFD Display Software based on Heterogenous Graphic Design Tools (이종 그래픽 저작 도구 기반의 SMFD 화면 시현 소프트웨어 통합 방안)

  • Kyusik Kim;Yongjin Kwon;Seong Han Lee
    • Journal of Aerospace System Engineering
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    • v.18 no.2
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    • pp.79-86
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    • 2024
  • We have developed software for the SMFD that utilizes a range of graphic design tools. These tools enable us to effortlessly create graphic elements by defining their attributes, such as position and motion. Subsequently, we can convert these designs into source code and execute the resulting software on the target system, leveraging the graphic engines provided by the tools. However, when it comes to developing the displaying software for the SMFD using multiple graphic design tools on a single system, we face various challenges. In this paper, we will delve into these challenges and propose solutions for developing the displaying software for SMFD based on heterogeneous display design tools.

Video Representation via Fusion of Static and Motion Features Applied to Human Activity Recognition

  • Arif, Sheeraz;Wang, Jing;Fei, Zesong;Hussain, Fida
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3599-3619
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    • 2019
  • In human activity recognition system both static and motion information play crucial role for efficient and competitive results. Most of the existing methods are insufficient to extract video features and unable to investigate the level of contribution of both (Static and Motion) components. Our work highlights this problem and proposes Static-Motion fused features descriptor (SMFD), which intelligently leverages both static and motion features in the form of descriptor. First, static features are learned by two-stream 3D convolutional neural network. Second, trajectories are extracted by tracking key points and only those trajectories have been selected which are located in central region of the original video frame in order to to reduce irrelevant background trajectories as well computational complexity. Then, shape and motion descriptors are obtained along with key points by using SIFT flow. Next, cholesky transformation is introduced to fuse static and motion feature vectors to guarantee the equal contribution of all descriptors. Finally, Long Short-Term Memory (LSTM) network is utilized to discover long-term temporal dependencies and final prediction. To confirm the effectiveness of the proposed approach, extensive experiments have been conducted on three well-known datasets i.e. UCF101, HMDB51 and YouTube. Findings shows that the resulting recognition system is on par with state-of-the-art methods.

A Test Design for Service Connection of Business Service and Application Service in SOA using Service Message Flow Diagram (SMFD 기반의 SOA 비즈니스 서비스와 어플리케이션 서비스 연결 테스트 설계)

  • Ji, Eun-Mi;Yoon, Hoi-Jin;Choi, Byoung-Ju
    • Journal of Internet Computing and Services
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    • v.9 no.5
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    • pp.35-46
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    • 2008
  • This paper defines a diagram showing the characteristics of service connections in SOA, and it designs the connection testing with the diagram. The detail steps of building test requirements in the test design phase are explained, and the steps are applied to two different enterprise cases as examples. The cases are real SOA system of real enterprises. Recently, many enterprises have been trying to reconfigure their system as SOA systems. However, these projects are hard to be applied to their mission-critical real systems, since there is few testing technique understanding SOA characteristics, One of the missing characteristics of SOA in testing is that SOA needs a layering systems between business processes and applications. This paper focuses on the layering system of SOA to solve the testing problem in SOA.

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A Study on Reliability, Safety Analysis and Related Performance Improvement of Avionics Equipment (항공전자장비 신뢰성, 안전성 분석 및 관련 성능 개선 방안 연구)

  • Seo, Joon-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.9
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    • pp.1220-1227
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    • 2018
  • Avionics electronic equipment refers to the electronic equipment installed on an aircraft. Failure of avionics equipment can have a significant impact on aircraft operations as well as threaten the safety of pilots and passengers. Therefore, avionics electronic equipment is required to have higher reliability and safety than electronic equipment used for other purposes. Avionics equipment must consider various component selection and system design to meet reliability and safety-related requirements from the initial design stage. In this paper, we describe safety, reliability performance analysis method of avionics equipment, and introduce various design improvement methods that can be performed to meet safety requirement performance. Finally, the safety performance of the improved avionics equipment was reanalyzed and compared with the value before the improvement, the validity of the proposed design change was verified.