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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

共 891 条记录，以下是741-750 订阅

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Hardware design and analysis of efficient loop coarsening and border handling for image processing

Hardware design and analysis of efficient loop coarsening an...

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International conference on Application Specific Systems (ASAP), architectures and Processors

作者： M. Akif Özkan Oliver Reiche Frank Hannig Jürgen Teich Friedrich-Alexander-Universitat Erlangen-Nurnberg Erlangen Bayern DE Hardware/Software Co-Design University Erlangen-Ntirnberg (FAU) Germany

Field Programmable Gate Arrays (FPGAs) excel at the implementation of local operators in terms of throughput per energy since the off-chip communication can be reduced with an application-specific on-chip memory configuration. Furthermore, data-level parallelism can efficiently be exploited through socalled loop coarsening, which processes multiple horizontal pixels simultaneously. Moreover, existing solutions for proper border handling in hardware show considerable resource overheads. In this paper, we first propose novel architectures for image border handling and loop coarsening, which can significantly reduce area. Second, we present a systematic analysis of these architectures including the formulation of analytical models for their area usage. Based on these models, we provide an algorithm for suggesting the most efficient hardware architecture for a given specification. Finally, we evaluate several implementations of our proposed architectures obtained through Vivado High-Level Synthesis (HLS). The synthesis results show that the proposed coarsening architecture uses 32% less registers for a 5-by-5 convolution with a 64 coarsening factor compared to previous works, whereas the proposed border handling architectures facilitate a decrease in the Look-up Table (LUT) usage by 36 %.

关键词： Registers Computer architecture Schedules Hardware Field programmable gate arrays Throughput image processing

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AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application

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2017年

作者： Vo Hoang Duy Trantrong Dao Ivan Zelinka Sangbong Kim Tranthanh Phuong

ISBN: (纸本)9783319698137

This proceedings book gathers papers presented at the 4th International conference on Advanced Engineering Theory and Applications 2017 (AETA 2017), held on 79 December 2017 at Ton Duc Thang University, Ho Chi Minh City, Vietnam. It presents selected papers on 13 topical areas, including robotics, control systems, telecommunications, computer science and more. All selected papers represent interesting ideas and collectively provide a state-of-the-art overview. Readers will find intriguing papers on the design and implementation of control algorithms for aerial and underwater robots, for mechanical systems, efficient protocols for vehicular ad hoc networks, motor control, image and signal processing, energy saving, optimization methods in various fields of electrical engineering, and others. The book also offers a valuable resource for practitioners who want to apply the content discussed to solve real-life problems in their challenging applications. It also addresses common and related subjects in modern electric, electronic and related technologies. As such, it will benefit all scientists and engineers working in the above-mentioned fields of application.

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2017 IEEE International conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2017

2017 IEEE International Conference on Smart Instrumentation,...

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4th IEEE International conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2017

ISBN: (纸本)9781538639603

The proceedings contain 64 papers. The topics discussed include: a cascaded multilevel inverter topology with only one bidirectional conducting switch;compact and wideband modified Wilkinson power divider;digital image processing technique for palm oil leaf disease detection using multiclass SVM classifier;kinematic analysis for mechanism of rotary car parking system (RCPS);the world-first deployment of narrowband IoT for rural hydrological monitoring in UNESCO biosphere environment;nonstationary signal reconstruction from TVAR coefficients;traffic intensity monitoring using multiple object detection with traffic surveillance cameras;comparative analysis for a real time face recognition system using Raspberry Pi;investigation of various algorithms on multichannel audio compression;enhancement of electrode design for non-invasive stimulus application;development of portable digital spirometer using NI sbRIO;modeling of ANN to determine optimum adsorption capacity for removal of pollutants;simulation of a MEMS quartz mass sensor array for biosensing;current generation circuit to functional electrical stimulate foot-drop patients;developing a context-aware mobile patient monitoring framework with an ontology-based approach;an investigation of magnet parameters on the performance of dual piezoelectric fans (DPF) in electronics cooling system;and optimal sizing and economic analysis of self-consumed solar PV system for a fully DC residential house.

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design of smart shopping wall using hand gesture and facial image recognition 17

Design of smart shopping wall using hand gesture and facial ...

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2nd International conference on Biomedical signal and image processing, ICBIP 2017

作者： Lee, Jia-Hong Wu, Mei-Yi Liu, Che-Yu Chuang, Yun-Hao Department of Information Management National Kaohsiung University of Science and Technology Taiwan Graduate Institute of Food Culture and Innovation National Kaohsiung University of Hospitality and Tourism Taiwan

ISBN: (纸本)9781450352680

Rapid technological progress has changed the way of people shopping. Online shopping allows consumers to directly buy products or services over the Internet using a web browser. In addition, mobile commerce makes the online sales transactions happen in anytime and everywhere using wireless electronic devices such as mobile phones or laptops. Mobile shopping in QR code virtual stores is a kind of special shopping experience. Using a camera phone with QR code reader installed, a customer can buy the items displayed on the media by flashing their camera phones on the items and the items would be delivered to them through credit card payment. Many QR code shopping walls were created in Mass Rapid Transit stations, malls or public places in big cities recently. In this study, we try to construct a smart shopping wall to enhance the fun in QR code shopping experiences. An integrated system was designed to allow customers controlling the showing page of product Ads on the electronic (TV) displays using skeleton-based hand gesture recognition. The system also can estimate the customer's gender and age via facial image recognition using deep learning algorithms. Microsoft Kinect depth sensor was applied in our system and it provided a good sensor to catch facial images and skeleton information for the purpose of recognition. Experimental results show that the gender and age classification can achieve high recognition accuracy. Finally, an experimental system is completed based on the proposed framework. © 2017 Association for Computing Machinery.

关键词： Cameras

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An efficient SPIHT algorithm and system architecture for image compression

An efficient SPIHT algorithm and system architecture for ima...

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IEEE signal processing and Communications Applications (SIU)

作者： Serap Çeklı Ali Akman Bilgisayar Mühendisliği Maltepe Üniversitesi İstanbul Türkiye

In this study, an efficient modified SPIHT algorithm and related architecture design is proposed for image compression. The proposed architecture is designed as a three stage pipeline structure. Different sized images are compressed using the designed architecture for different bpp values. The computed PSNR values of the compressed images using the proposed algorithm and also the original algorithm is compared in order to test the performance of the proposed algorithm and architecture.

关键词： Lips image coding Algorithm design and analysis Computer architecture Pipelines Transform coding Streaming media

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From algorithms to devices: Enabling machine learning through ultra-low-power VLSI mixed-signal array processing

From algorithms to devices: Enabling machine learning throug...

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Custom Integrated Circuits conference (CICC)

作者： Siddharth Joshi Chul Kim Sohmyung Ha Gert Cauwenberghs University of California San Diego CA New York University Abu Dhabi Abu Dhabi UAE

Machine learning and related statistical signal processing are expected to endow sensor networks with adaptive machine intelligence and greatly facilitate the Internet of Things. As such, architectures embedding adaptive and learning algorithms on-chip are oft-ignored by the design community and present a new set of design trade-offs. This review focuses on efficient implementation of mixed-signal matrix-vector multiplication as a central computational primitive enabling machine learning and statistical signal processing, with specific examples in spatial filtering for adaptive beamforming. We describe adaptive algorithms amenable for efficient implementation with such primitives in the presence of noise and analog variability. We also briefly highlight current trends in high-density integration in emerging memory device technologies and their use in highdimensional adaptive computing.

关键词： Gain Dynamic range signal processing algorithms Parallel processing Switches Digital signal processing

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Implementation and evaluation of ECG signal processing algorithms on embedded architectures

Implementation and evaluation of ECG signal processing algor...

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International conference on Electrical and Information Technologies (ICEIT)

作者： Safa Mejhoudi Rachid Latif Ahmed Toumanari Wissam Jenkal Abdelhafid Elouardi Laboratory of Systems Engineering and Information Technology (LiSTi) Ibn Zohr University Agadir Morocco SATIE Paris Saclay University Orsay France

This paper presents a survey and evaluation of the implementation of ECG signal processing algorithms on embedded architectures. ECG signal analysis and extraction of various features as QRS complex are important tasks in either clinical or biomedical practice. To this end, our work aims at developing a system for real-time monitoring of cardiac data based on an embedded architecture, which guarantees an accurate analysis without loss of information and allowing the extraction of all the necessary characteristics for an effective and fast diagnosis of patient's cardiac status.

关键词： Electrocardiography Finite impulse response filters Algorithm design and analysis Field programmable gate arrays Discrete wavelet transforms Low pass filters

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How to Break Secure Boot on FPGA SoCs Through Malicious Hardware 19th

How to Break Secure Boot on FPGA SoCs Through Malicious Hard...

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19th International conference on Cryptographic Hardware and Embedded Systems (CHES)

作者： Jacob, Nisha Heyszl, Johann Zankl, Andreas Rolfes, Carsten Sigl, Georg Fraunhofer Inst Appl & Integrated Secur AISEC Munich Germany Tech Univ Munich EI SEC Munich Germany

ISBN: (纸本)9783319667874;9783319667867

Embedded IoT devices are often built upon large system on chip computing platforms running a significant stack of software. For certain computation-intensive operations such as signal processing or encryption and authentication of large data, chips with integrated FPGAs, FPGA SoCs, which provide high performance through configurable hardware designs, are used. In this contribution, we demonstrate how an FPGA hardware design can compromise the important secure boot process of the main software system to boot from a malicious network source instead of an authentic signed kernel image. This significant and new threat arises from the fact that the CPU and FPGA are connected to the same memory bus, so that FPGA hardware designs can interfere with secure boot routines on FPGA SoCs that are without any interruption on regular SoCs. An enabling factor is that integrated hardware designs are likely bought from external partners and there is a realistic lack of security review at the system integrators. This facilitates flaws or even unwanted functionality in such hardware designs. We perform a proof of concept on a Xilinx Zynq-7000 FPGA SoC, and the threat can be generalized to other devices. We also present as effective mitigation, an easy-to-review and re-usable wrapper module which prevents any unauthorized memory access by included hardware designs.

关键词： FPGA SoCs Secure boot Hardware design Outsourced Threat

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LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems 30

LCDet: Low-Complexity Fully-Convolutional Neural Networks fo...

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30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Tripathi, Subarna Dane, Gokce Kang, Byeongkeun Bhaskaran, Vasudev Truong Nguyen Univ Calif San Diego La Jolla CA 92093 USA Qualcomm Inc San Diego CA USA

ISBN: (纸本)9781538607336

Deep Convolutional Neural Networks (CNN) are the state-of-the-art performers for the object detection task. It is well known that object detection requires more computation and memory than image classification. In this work, we propose LCDet, a fully-convolutional neural network for generic object detection that aims to work in embedded systems. We design and develop an end-to-end TensorFlow(TF)-based model. The detection works by a single forward pass through the network. Additionally, we employ 8-bit quantization on the learned weights. As a use case, we choose face detection and train the proposed model on images containing a varying number of faces of different sizes. We evaluate the face detection performance on publicly available dataset FDDB and Widerface. Our experimental results show that the proposed method achieves comparative accuracy comparing with state-of-the-art CNN-based face detection methods while reducing the model size by 3x and memory-BW by 3 - 4x comparing with one of the best real-time CNN-based object detector YOLO [23]. Our 8-bit fixed-point TF-model provides additional 4x memory reduction while keeping the accuracy nearly as good as the floating point model and achieves 20x performance gain compared to the floating point model. Thus the proposed model is amenable for embedded implementations and is generic to be extended to any number of categories of objects.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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Enhancing JFCS Software with a New Mapping Module. Filling the Semantic Gap from Pixels to Meaningful Fuzzy Colors

Enhancing JFCS Software with a New Mapping Module. Filling t...

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IEEE International conference on Fuzzy Systems (FUZZ-IEEE)

作者： Soto-Hidalgo, J. M. Martinez-Jimenez, P. M. Chamorro-Martinez, J. Sanchez, D. Univ Cordoba Dept Comp Architecture Elect & Elect Technol Cordoba Spain Univ Granada Dept Comp Sci & Artificial Intelligence Granada Spain

ISBN: (纸本)9781509060344

This paper introduces a new way of interaction in JFCS Software where users can view and navigate easily between different combinations of fuzzy colors and pixels in images. Fuzzy colors allow introducing semantics in the description of color by using linguistic labels, filling the semantic gap between the color representation in computers and the subjective human perception. JFCS (Java Fuzzy Color Space) Software, an open source (GPLv3) software with a user-friendly interface, provides an easy framework to design and automatically obtain customized fuzzy color spaces on the basis of an approach proposed by the authors in previous work. This new functionality in JFCS endows it with a very useful tool to visually analyze correspondences between pixels and fuzzy colors in images. Users can obtain combined mapped images where regions, corresponding to a combination of color concepts, are highlighted. In addition, users can describe and interact, in a simple and visual way, with colors present on a given image in terms of fuzzy colors.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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