The Experts below are selected from a list of 34419 Experts worldwide ranked by ideXlab platform
Wolfgang Rosenstiel - One of the best experts on this subject based on the ideXlab platform.
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Embedded System Architecture design based on real time emulation
Rapid System Prototyping, 2000Co-Authors: C Nitsch, K Weiss, T Steckstor, Wolfgang RosenstielAbstract:This paper presents a new approach to the design of Embedded Systems. Due to restrictions that state-of-the-art methodologies contain for hardware/software partitioning, we have developed an emulation based method using the facilities of reconfigurable hardware components, such as field programmable gate arrays (FPGA). Our own emulation environment called the SPYDER tool set was used; it is best suited for the emulation of hardware designs for Embedded Systems.
Srivaths Ravi - One of the best experts on this subject based on the ideXlab platform.
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security as a new dimension in Embedded System design
Design Automation Conference, 2004Co-Authors: Paul C Kocher, Ruby B. Lee, Anand Raghunathan, Gary Mcgraw, Srivaths RaviAbstract:The growing number of instances of breaches in information security in the last few years has created a compelling case for efforts towards secure electronic Systems. Embedded Systems, which will be ubiquitously used to capture, store, manipulate, and access data of a sensitive nature, pose several unique and interesting security challenges. Security has been the subject of intensive research in the areas of cryptography, computing, and networking. However, despite these efforts, security is often mis-construed by designers as the hardware or software implementation of specific cryptographic algorithms and security protocols. In reality, it is an entirely new metric that designers should consider throughout the design process, along with other metrics such as cost, performance, and power..This paper is intended to introduce Embedded System designers and design tool developers to the challenges involved in designing secure Embedded Systems. We attempt to provide a unified and holistic view of Embedded System security by first analyzing the typical functional security requirements for Embedded Systems from an end-user perspective. We then identify the implied challenges for Embedded System architects, as well as hardware and software designers (e.g., tamper-resistant Embedded System design, processing requirements for security, impact of security on battery life for battery-powered Systems, etc.). We also survey solution techniques to address these challenges, drawing from both current practice and emerging research, and identify open research problems that will require innovations in Embedded System Architecture and design methodologies.
Zhiguo Cao - One of the best experts on this subject based on the ideXlab platform.
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an Embedded System on chip Architecture for real time visual detection and matching
IEEE Transactions on Circuits and Systems for Video Technology, 2014Co-Authors: Jianhui Wang, Sheng Zhong, Luxin Yan, Zhiguo CaoAbstract:Detecting and matching image features is a fundamental task in video analytics and computer vision Systems. It establishes the correspondences between two images taken at different time instants or from different viewpoints. However, its large computational complexity has been a challenge to most Embedded Systems. This paper proposes a new FPGA-based Embedded System Architecture for feature detection and matching. It consists of scale-invariant feature transform (SIFT) feature detection, as well as binary robust independent elementary features (BRIEF) feature description and matching. It is able to establish accurate correspondences between consecutive frames for 720-p (1280x720) video. It optimizes the FPGA Architecture for the SIFT feature detection to reduce the utilization of FPGA resources. Moreover, it implements the BRIEF feature description and matching on FPGA. Due to these contributions, the proposed System achieves feature detection and matching at 60 frame/s for 720-p video. Its processing speed can meet and even exceed the demand of most real-life real-time video analytics applications. Extensive experiments have demonstrated its efficiency and effectiveness.
C Nitsch - One of the best experts on this subject based on the ideXlab platform.
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Embedded System Architecture design based on real time emulation
Rapid System Prototyping, 2000Co-Authors: C Nitsch, K Weiss, T Steckstor, Wolfgang RosenstielAbstract:This paper presents a new approach to the design of Embedded Systems. Due to restrictions that state-of-the-art methodologies contain for hardware/software partitioning, we have developed an emulation based method using the facilities of reconfigurable hardware components, such as field programmable gate arrays (FPGA). Our own emulation environment called the SPYDER tool set was used; it is best suited for the emulation of hardware designs for Embedded Systems.
Edison Pignaton De Freitas - One of the best experts on this subject based on the ideXlab platform.
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proposal for an Embedded System Architecture using a gndvi algorithm to support uav based agrochemical spraying
Sensors, 2019Co-Authors: Maik Basso, Diego Stocchero, Renato Ventura Bayan Henriques, Andre Luis Vian, Christian Bredemeier, Andrea Aparecida Konzen, Edison Pignaton De FreitasAbstract:An important area in precision agriculture is related to the efficient use of chemicals applied onto fields. Efforts have been made to diminish their use, aiming at cost reduction and fewer chemical residues in the final agricultural products. The use of unmanned aerial vehicles (UAVs) presents itself as an attractive and cheap alternative for spraying pesticides and fertilizers compared to conventional mass spraying performed by ordinary manned aircraft. Besides being cheaper than manned aircraft, small UAVs are capable of performing fine-grained instead of the mass spraying. Observing this improved method, this paper reports the design of an Embedded real-time UAV spraying control System supported by onboard image processing. The proposal uses a normalized difference vegetation index (NDVI) algorithm to detect the exact locations in which the chemicals are needed. Using this information, the automated spraying control System performs punctual applications while the UAV navigates over the crops. The System Architecture is designed to run on low-cost hardware, which demands an efficient NDVI algorithm. The experiments were conducted using Raspberry Pi 3 as the Embedded hardware. First, experiments in a laboratory were conducted in which the algorithm was proved to be correct and efficient. Then, field tests in real conditions were conducted for validation purposes. These validation tests were performed in an agronomic research station with the Raspberry hardware integrated into a UAV flying over a field of crops. The average CPU usage was about 20% while memory consumption was about 70 MB for high definition images, with 4% CPU usage and 20.3 MB RAM being observed for low-resolution images. The average current measured to execute the proposed algorithm was 0.11 A. The obtained results prove that the proposed solution is efficient in terms of processing and energy consumption when used in Embedded hardware and provides measurements which are coherent with the commercial GreenSeeker equipment.