• Title/Summary/Keyword: Edge devices

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Development Trends in Advanced Packaging Technology of Global Foundry Big Three (글로벌 파운드리 Big3의 첨단 패키징 기술개발 동향)

  • H.S. Chun;S.S. Choi;D.H. Min
    • Electronics and Telecommunications Trends
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    • v.39 no.3
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    • pp.98-106
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    • 2024
  • Advanced packaging is emerging as a core technology owing to the increasing demand for multifunctional and highly integrated semiconductors to achieve low power and high performance following digital transformation. It may allow to overcome current limitations of semiconductor process miniaturization and enables single packaging of individual devices. The introduction of advanced packaging facilitates the integration of various chips into one device, and it is emerging as a competitive edge in the industry with high added value, possibly replacing traditional packaging that focuses on electrical connections and the protection of semiconductor devices.

Design Sensitivity Analysis for Shape Optimization of Electromagnetic Device with Finite Element Method (설계민감도해석과 FEM에 의한 전자소자의 형상최적화)

  • Ryu, Jae-Seop;Koh, Chang-Seop
    • Proceedings of the KIEE Conference
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    • 2002.07b
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    • pp.835-837
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    • 2002
  • This paper presents a shape optimization algorithm of electromagnetic devices using the design sensitivity analysis with FEM. The design sensitivity and adjoint variable formulas are derived for the 3D FEM with edge element. This algorithm is applied to 3D electro-magnet pole shape optimization problem to make a uniform flux density at the target region.

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Graph theoretical considerations of a channel assignment problem on multihop wireless networks

  • Tamura, Hiroshi;Watanabe, Kaoru;Sengoku, Masakazu;Shinoda, Shoji
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.967-970
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    • 2002
  • Multihop wireless networks consist of mobile terminals with personal communication devices. Each terminal can receive a message from a terminal and send it to the other terminal. In this paper, we discuss edge coloring problems related to multihop wireless networks. We show some relations about the problems.

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HDR Tone Mapping Using Belief Propagation (신뢰도 전파를 이용한 HDR 영상의 동적 영역 압축)

  • Lee, Chul;Kim, Chang-Su
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.267-268
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    • 2007
  • A dynamic range compression algorithm using Markov random field (MRF) modeling to display high dynamic range (HDR) images on low dynamic range (LDR) devices is proposed in this work. The proposed algorithm separates foreground objects from the background using the edge information, and then compresses the color differences across the edges based on the MRF modeling. By minimizing a cost function using belief propagation, the proposed algorithm can provide an effective LDR image. Simulation results show that the proposed algorithm provides good results.

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Sapphire Ribbon Single Crystal Growth by EFG Method (EFG법에 의한 Sapphire Ribbon 단결정 성장)

  • 박신서;류두형;정재우;최종건;오근호;손선기;변영재;전형탁
    • Journal of the Korean Ceramic Society
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    • v.27 no.6
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    • pp.783-789
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    • 1990
  • Shaped crystal growth apparatus were made for sapphire ribbon single crystal growth. Sapphire ribbon single crystal are grown by EFG(Edge-defined Film-fed Growth) methdo for use as watch-glass and SOS(Silicon-On-Sapphire) devices. Sapphire ribbon crystals were grown to be 40min wide, 1.8mm thick, 96mm long. Therelationshiops between growth striation and surface roughness, with various growth rates, were investigated and compared. It was found that sapphire ribbon crystal is suitable for watch-glass by measuring the transmittance in the visible light region.

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Parking Lot Occupancy Detection using Deep Learning and Fisheye Camera for AIoT System

  • To Xuan Dung;Seongwon Cho
    • Smart Media Journal
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    • v.13 no.1
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    • pp.24-35
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    • 2024
  • The combination of Artificial Intelligence and the Internet of Things (AIoT) has gained significant popularity. Deep neural networks (DNNs) have demonstrated remarkable success in various applications. However, deploying complex AI models on embedded boards can pose challenges due to computational limitations and model complexity. This paper presents an AIoT-based system for smart parking lots using edge devices. Our approach involves developing a detection model and a decision tree for occupancy status classification. Specifically, we utilize YOLOv5 for car license plate (LP) detection by verifying the position of the license plate within the parking space.

A Study on AWGN Removal using Modified Edge Detection (변형된 에지 검출을 이용한 AWGN 제거에 관한 연구)

  • Kwon, Se-Ik;Hwang, Yeong-Yeun;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.790-792
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    • 2017
  • As the demand of digital image processing devices has been rapidly increased recently, the excellent image quality is required. However, degradation can be occurred with multiple causes during transmission and processing process. Therefore, the needs to eliminate the noise are increased and the noise elimination technology became the major study area. Therefore, image restoration algorithm was suggested to apply the filter differently by edge and non-edge areas, using modified edge detection with preprocessing process so as to relieve the effect of additive white Gaussian noise(AWGN) which is added in the image, in this article. In addition, it was compared with the existing methods using peak signal to noise ratio(PSNR) as the objective determination standard of the improvement effect.

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Video Quality Improvement Method of Up-sampling Video by Relationship of Intra Prediction Data and DCT Coefficient (화면 내 예측 정보와 DCT 계수의 관계에 의한 상향 표본화 영상의 화질 개선 방법)

  • Lee, Yoon-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.7
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    • pp.59-65
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    • 2011
  • Korea DMB Service is popularized, and is used by many users. But latest display devices compared to the DMB content resolution support higher resolution and a variety of video resampling technologies has been used. Generally, subjective video quality is determined by object recognition rate in video, and increased as the edge space between objects are more clear. An edge is the boundary between an object and the background, and indicates the boundary between overlapping objects. the predicted direction in intra prediction used in H.264/AVC has the similarity up to 80% for the edge information. In the study, we propose an effective up-sampling mothed using the edge information that is extracted for the relationship between the intra prediction data and the DCT coefficient data of H.264 video encoding.

A Study on Simple chip Design that Convert Improved YUV signal to RGB signal (개선된 YUV신호를 RGB신호로 변환하는 단일칩 설계에 관한 연구)

  • Lee, Chi-Woo;Park, Sang-Bong;Jin, Hyun-Jun;Park, Nho-Kyung
    • Journal of IKEEE
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    • v.7 no.2 s.13
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    • pp.197-209
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    • 2003
  • A current TV out format is quite different from that of HDTV or PC monitor in encoding techniques. In other words, a conventional analog TV uses interlaced display while HDTV or PC monitor uses Non-interlaced / Progressive-scanned display. In order to encode image signals coming from devices that takes interlaced display format for progressive scanned display, a hardware logic in which scanning and interpolation algorithms are implemented is necessary. The ELA(Edge-Based Line Average) algorithm have been widely used because it provided good characteristics. In this study, the ADI(Adaptive De-interlacing Interpolation) algorithm using to improve the ELA algorithm which shows low quality in vertical edge detections and low efficiency of horizontal edge lines. With the De-interlacing ASIC chip that converts the interlaced Digital YUV to De-interlaced Digital RGB is designed. The VHDL is used for chip design.

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IoT Collaboration System Based on Edge Computing for Smart Livestock System (스마트 축사를 위한 에지 컴퓨팅 기반 IoT 협업 시스템)

  • Ahn, Chi-Hyun;Lee, Hyungtak;Chung, Kwangsue
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.2
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    • pp.258-264
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    • 2022
  • The smart farm for livestock, in which information and communication technology (ICT) is combined with livestock farm, is mostly based on the cloud computing paradigm. A cloud-based smart livestock farm has disadvantages such as increased response time, burden on cloud resource caused by the increased number of IoT sensors, traffic burden on the network, and lack of failure resilience mechanisms through collaboration with adjacent IoT devices. In this paper, with these problems in mind, we propose an IoT collaboration system based on edge computing. By using the relatively limited computing resources of the edge device to share the cloud's web server function, we aim to reduce the cloud's resources needed and improve response time to user requests. In addition, through the heartbeat-based failure recovery mechanism, IoT device failures were detected and appropriate measures were taken.