• Title/Summary/Keyword: 재구성 가능한 플랫폼

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Legacy ECU software system analysis method for AUTOSAR migration (AUTOSAR 마이그레이션 (Migration)을 위한 레거시 ECU 소프트웨어 시스템 분석 방법)

  • Jincheng, Li;Ryu, Ki-yeol;Lee, Jungtae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.703-706
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    • 2014
  • AUOTSAR(Automotive Open system Architecture)는 자동차 ECU(Electronic Control Unit) 에 내장되는 소프트웨어에 대한 표준 구조로서, ECU 소프트웨어의 품질 향상은 물론, 개발 및 관리 비용의 절감에 기여하는 등 많은 장점을 갖는다. AUTOSAR 의 이런 장점 때문에 많은 자동차 회사들이 ECU 소프트웨어에 AUTOSAR 적용을 추진하고 있다. 이에 따라 기존 레거시 ECU 소프트웨어 시스템을 AUTOSAR 표준에 맞는 ECU 소프트웨어 시스템으로 변환하는 방법에 대한 관심도 높아지고 있다. 그 이유는 이미 많은 ECU 레거시 소프트웨어 시스템들이 개발되어 사용되고 있으며, 이들에게는 이미 기능 및 안정성 검증을 위하여 많은 시간과 비용이 투자하여 되어 있다. 따라서 ECU 소프트웨어 시스템에 AUTOSAR 를 적용하는 경우 기존의 레거시 소프트웨어 시스템을 재사용할 수 있으면 생산성 및 품질 면에서 많은 장점을 갖는다. 본 연구에서는 C 언어로 작성된 기존의 ECU 소프트웨어 시스템을 AUTOSAR 플랫폼에서 재사용할 수 있도록 하기 위하여, 기존의 레거시 ECU 소프트웨어 시스템을 AUTOSAR 플랫폼으로 마이그레이션하는 방법에 대하여 연구하였다. 마이그레이션 과정은 크게 두 단계로 나누어 지는데, 이는 레거시 소프트웨어 시스템을 분석하여 마이그레이션이 가능하도록 기능별로 분해하는 것과, 분해된 구성 요소들을 AUTOSAR 플랫폼에 맞는 구조로 재구성하는 과정이다. 본 논문에서는 이중 첫 번째 과정인 레거시 소프트웨어 시스템의 분석 및 기능별 분해 방법을 제시하고자 한다.

Dynamically Reconfigurable Personal Robot Platform (동적 재구성이 가능한 퍼스널 로봇 플랫폼)

  • Roh Se-gon;Park Kiheung;Yang Kwangwoung;Park Jinho;Oh Ki Yong;Kim Hongseok;Lee Hogil;Choi Hyoukryeol
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.9
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    • pp.816-824
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    • 2004
  • In this paper, the framework for accelerating the development of personal robots is presented, which includes the technology such as modularization with its own processing and standardization open to the other developers. Its basic elements are Module-D(Module of DRP I) characterized functionally and VM-D(Virtual Machine of DRP I) arbitrating Module-Ds. They can suggest the effective ways for integrating various robotic components and interfacing among them. Based on this framework, we developed a fully modularized personal robot called DRP I(Dynamically Reconfigurable Personal robot). Its hardware components are easily attached to and detached from the whole system. In addition, each software of the components is functionally distributed. For the materialization of the proposed idea, we mainly focus on the dynamically reconfigurable feature of DRP I.

SDR 스마트안테나 API와 Usecase

  • 류남규;윤유석;최승원
    • The Magazine of the IEIE
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    • v.33 no.2 s.261
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    • pp.62-71
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    • 2006
  • SDR 시스템의 구조는 개방상, 분산성, 객체지향성, 소프트웨어 제어성을 제공하는 구조이어야 한다. 이러한 조건을 만족하는 SDR 시스템에 사용된 SDR시스템의 소프트웨어는 단일 하드웨어 플랫폼에서 독립적으로 동작이 가능한 개방성을 확보하는 것이다. 이 방법은 모듈화를 지향하며, 재사용성을 증대시키고, 개발 시에도 많은 유연성을 확보 할 수 있을 뿐만 아니라 시스템을 재구성하여 운용 할 수 있도록 해 준다. 본 논문은 SDR기반 스마트안테나 기지국 시스템에서 SDR 네트워크가 추구하는 개방형, 객체지향성 및 제어성 등을 확보 할 수 있도록 하고 SDR 네트워크와 유연하게 연동 할 수 있도록 기지국 시스템 내의 각 소프트웨어 모듈간의 인터페이스를 정의하였다. 또한, 스마트안테나 기지국의 API(Application Program Interface)를 제시하고 이에 대한 Usecase를 보임으로써 제안하는 스마트안테나 기지국의 API의 활용성을 증대시켰다.

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FPGA-Based Low-Power and Low-Cost Portable Beamformer Design (FPGA 기반 저전력 및 저비용 휴대용 빔포머 설계)

  • Jeong, GabJoong;Park, CheolYoung
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.1
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    • pp.31-38
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    • 2019
  • In this paper, we develop a beamforming front end platform with pipeline circuit configuration method that can apply various clinical diagnostic applications of ultrasound image technology. Hardware design targets compression applications as well as scalable applications where power, integration levels and replication possibilities are important. Firmware design was implemented to achieve optimal FPGA parallel processing level by constructing new IP and system-oriented design environment to accelerate design productivity with maximum productivity improvement using Vivado HLS tool, which is a next generation high level synthesis tool. Former supports the high-speed management function of scan data that can create an image area arbitrarily and can be appropriately corrected and supplemented when reconfiguring or changing system specifications in the future.

Adaptive Processing Algorithm Allocation on OpenCL-based FPGA-GPU Hybrid Layer for Energy-Efficient Reconfigurable Acceleration of Abnormal ECG Diagnosis (비정상 ECG 진단의 에너지 효율적인 재구성 가능한 가속을 위한 OpenCL 기반 FPGA-GPU 혼합 계층 적응 처리 알고리즘 할당)

  • Lee, Dongkyu;Lee, Seungmin;Park, Daejin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.10
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    • pp.1279-1286
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    • 2021
  • The electrocardiogram (ECG) signal is a good indicator for early diagnosis of heart abnormalities. The ECG signal has a different reference normal signal for each person. And it requires lots of data to diagnosis. In this paper, we propose an adaptive OpenCL-based FPGA-GPU hybrid-layer platform to efficiently accelerate ECG signal diagnosis. As a result of diagnosing 19870 number of ECG signals of MIT-BIH arrhythmia database on the platform, the FPGA accelerator takes 1.15s, that the execution time was reduced by 89.94% and the power consumption was reduced by 84.0% compared to the software execution. The GPU accelerator takes 1.87s, that the execution time was reduced by 83.56% and the power consumption was reduced by 62.3% compared to the software execution. Although the proposed FPGA-GPU hybrid platform has a slower diagnostic speed than the FPGA accelerator, it can operate a flexible algorithm according to the situation by using the GPU.

Heterogeneous Lifelog Mining Model in Health Big-data Platform (헬스 빅데이터 플랫폼에서 이기종 라이프로그 마이닝 모델)

  • Kang, JI-Soo;Chung, Kyungyong
    • Journal of the Korea Convergence Society
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    • v.9 no.10
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    • pp.75-80
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    • 2018
  • In this paper, we propose heterogeneous lifelog mining model in health big-data platform. It is an ontology-based mining model for collecting user's lifelog in real-time and providing healthcare services. The proposed method distributes heterogeneous lifelog data and processes it in real time in a cloud computing environment. The knowledge base is reconstructed by an upper ontology method suitable for the environment constructed based on the heterogeneous ontology. The restructured knowledge base generates inference rules using Jena 4.0 inference engines, and provides real-time healthcare services by rule-based inference methods. Lifelog mining constructs an analysis of hidden relationships and a predictive model for time-series bio-signal. This enables real-time healthcare services that realize preventive health services to detect changes in the users' bio-signal by exploring negative or positive correlations that are not included in the relationships or inference rules. The performance evaluation shows that the proposed heterogeneous lifelog mining model method is superior to other models with an accuracy of 0.734, a precision of 0.752.

Authoring Tool for Augmented Reality based Product Design (증강현실 기반 제품 디자인을 위한 저작도구)

  • Ha, Tae-Jin;Billinghurst, Mark;Woo, Woon-Tack
    • Journal of the Korea Computer Graphics Society
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    • v.13 no.2
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    • pp.23-29
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    • 2007
  • We are suggesting an authoring tool can be used for prototyping in the augmented reality based product design environment. This tool is for authors without an engineering background to use. Our authoring tool can adjust the properties of visual, sound, and haptic feedback at the same time for more practical prototyping. Also the proposed modulated architecture can be applied flexibly to changes of platforms or hardware. Also user interfaces can be dynamically updated by changing just description files. finally, the suggested authoring methods exploit the advantages of both graphical and tangible user interfaces. Authors can intuitively make adjustments to many parameters using the TUI, and then they can do the same thing precisely using the GVI. The proposed authoring methods can be used for exhibition and entertainment contents using multi-sensory feedback in AR environment. As a future work, qualitative and quantitative usability test will be conducted.

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Development of Elementary School AI Education Contents using Entry Text Model Learning (엔트리 텍스트 모델 학습을 활용한 초등 인공지능 교육 내용 개발)

  • Kim, Byungjo;Kim, Hyenbae
    • Journal of The Korean Association of Information Education
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    • v.26 no.1
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    • pp.65-73
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    • 2022
  • In this study, by using Entry text model learning, educational contents for artificial intelligence education of elementary school students are developed and applied to actual classes. Based on the elementary and secondary artificial intelligence content table, the achievement standards of practical software education and artificial intelligence education will be reconstructed.. Among text, images, and sounds capable of machine learning, "production of emotion recognition programs using text model learning" will be selected as the educational content, which can be easily understood while reducing data preparation time for elementary school students. Entry artificial intelligence is selected as an education platform to develop artificial intelligence education contents that create emotion recognition programs using text model learning and apply them to actual elementary school classes. Based on the contents of this study, As a result of class application, students showed positive responses and interest in the entry AI class. it is suggested that quantitative research on the effectiveness of classes for elementary school students is necessary as a follow-up study.

WoS DCI : Systematically obtain more diverse information (WoS DCI : 더욱 다양한 정보를 체계적으로!)

  • Kang, Yoon Hee
    • Proceedings of the Korean Society for Information Management Conference
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    • 2017.08a
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    • pp.102-102
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    • 2017
  • 디지털 정보의 폭발적인 증가세와 함께 연구 데이타 또한 다양한 형태로 축적 되고 있다. 이에 다양한 정보들을 효율적으로 활용하는 것이 연구 혁신의 동력원으로 작용하고 어떠한 데이터를 어떻게 효율적으로 활용할 것인가가 정보 사회의 화두로 떠오르고 있다. 특히, 데이타 정보의 경우 전세계 약 900개 이상의 레파지토리들이 다양한 구조와 플랫폼을 토대로 축적 되고 있어 이에 대한 엄선 된 데이터 레파지토리 정보를 WoS의 단일 플랫폼에서 손쉽게 취득 할 수 있는 DCI(Data Citation Index)에 대한 관심이 증가되고 있는 추세이다. 현재 DCI에는 330여 종의 레포지토리에 수록 된 650만개 이상의 레코드를 수록 중이며 매년 50만 건 이상의 레코드가 추가 되고 있다. DCI는 레포지토리의 메타데이터를 분석하고 WoS에서 보유하고 있는 정보와 취합하여 데이터를 재구성하고 구조화하여 위계 질서를 부여하고 각 레코드가 소스 레포지토리로 연결되도록 링크를 제공하여 데이터 열람 및 다운로드가 가능하도록 하며 WoS내에 관련 논문(SCIE급)이 있는 경우 논문 과 데이터 상호 간의 링크도 제공한다. 보다 체계적인 데이터 관리를 위한 정보의 구조화와 보다 전문적인 정보 검색을 위한 Taxonomic Data와 시소러스(Thesaurus) 정보를 통한 DCI의 활용을 통해 새로운 정보의 세계를 경험해 보자.

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Classification standard of Communication Tool (플랫폼 분류 기준 고찰 : 감각의 입·출력)

  • Kim, Hyo-Yeun
    • Proceedings of the Korea Contents Association Conference
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    • 2018.05a
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    • pp.189-190
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    • 2018
  • Digital content requires the concept and structure that give us insights into the languages between computers and humans and how humans experience manifested among the flow of characters, images, and voice. Communicology, $Vil{\acute{e}}m$ Flusser's original study, allows us to reconsider and to reconstruct the boundary of human awareness. This paper intends to begin understanding digital content consisting of numerical codes by reviewing communicology. communicology helps to break up pre-existing categories and thinking about new standards. ith the help of information technology. Planning content can be actualized by classifying and reconstructing content that are input/output of senses. The standard of classification is 'boundary' and 'direction,' communication elements that cannot be broken down any further. There is no need to communicate if there is no boundary. The operation of communication is comprised of 'direction.' Considering humankind as the standard, the boundary that takes in stimulation from outside can be seen as senses. Direction can be expressed as input/output. Output assumes that technical pictures receive information. The coordinates for various pre-existing platforms and content and uncovered platforms can be set with a consistent standard. This allows us to escape from the standard of flat content that was activated by sight and rationality at the ideology of characters, to seek a three-dimensional standard that can be vitalized by various senses and irrationality, and to reconstruct the input/output of senses to show the possibility of planning a new platform.

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