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共 256 条记录，以下是141-150 订阅

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Calibration Data-based CNN Filter Pruning for Efficient Layer Fusion

Calibration Data-based CNN Filter Pruning for Efficient Laye...

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IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Krishna Teja Chitty-Venkata Arun K. Somani Iowa state University Ames IA USA

ISBN: (纸本)9781728176505

Convolutional Neural Network (CNN) optimization is critical to reduce the inference latency on computing devices like CPU and GPU. the most important step in efficiently executing these algorithms involves combining multiple operations within a single convolutional layer through a process called Layer Fusion. We first form a correlation between Layer Fusion and data management on computing platforms like CPUs and GPUs, and analyze its significance for different networks under different model compression techniques, e.g., Pruning and Quantization. Weight Pruning removes redundant parameters in the network thereby shrinking the model size. this method, however, creates sparse matrices which can hamper the performance on CPU and GPU devices. Several node/filter pruning algorithms have been developed to resolve the bottlenecks of irregular pruning and reduce the inference time. Although symmetric pruning techniques reduce the forward path computation time, the weights and activations are still executed in floating point precision which can be further optimized by Quantization. this method reduces the bit-width of individual CNN parameter from high precision (Float32) to lower precision (Int8). Even though several model compression (pruning and quantization) techniques have been developed to improve performance, their integrated study with Layer Fusion has not been performed. In today's scenario, not all CPUs and GPUs explicitly support Int8 multiplication. Hence, we analyze the performance of optimized implementation of Int8 Quantization on such devices like Intel's Skylake and Nvidia's Tesla V100. We develop a novel Node Pruning algorithm to remove redundant filters which can aid in efficient implementation of Layer Fusion/Quantized Networks. We compare the execution time of our combined pruning and quantization implementation with a traditional node pruning algorithm which achieved a mean speedup of 3.5 times on Skylake CPU.

关键词： Performance evaluation Analytical models Quantization (signal) Computational modeling High performance computing Graphics processing units Filtering algorithms

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Design of a Charge Sensitive Amplifier for Silicon Particle Detector in BCD 180 nm Process 32

Design of a Charge Sensitive Amplifier for Silicon Particle ...

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32nd International conference on VLSI Design (VLSID) / 18th International conference on Embedded systems (ES)

作者： Yadav, I. Joshi, A. Ruscino, E. Liberali, V. Andreazza, A. Shrimali, H. Indian Inst Technol Mandi Sch Comp & Elect Engn Mandi 175005 Himachal Prades India Ist Nazl Fis Nucl Sez Genova Genoa Italy Univ Genoa Via Dodecaneso 33 I-16146 Genoa Italy Ist Nazl Fis Nucl Sez Milano Milan Italy Univ Milan Via Festa del Perdono 7 I-20122 Milan Italy

ISBN: (纸本)9781728104096

this paper presents the design of a charge sensitive amplifier (CSA) for an analog processing circuit of 47x6 silicon pixel detector array. the design has been implemented in BCD 180 nm technology. A diode with an area of 250 x 50 mu m(2) is used to realize a unit sensor pixel. A 100 % fill factor is achieved by confining the analog circuit in the diode. Low power and area efficient single ended folded cascode amplifier is employed as a basic building block of the CSA. Further, an on-chip corner control circuit is proposed to make the design insensitive to process variations and to reduce power dissipation in the CSA.

关键词： Active pixel sensors image sensors low-frequency noise low-noise amplifiers radiation hardening

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Synthetic Ultra-Wideband Integrated Pulse Generator for Millimeter-Wave Imaging Applications

Synthetic Ultra-Wideband Integrated Pulse Generator for Mill...

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Annual IEEE Northeast Workshop on Circuits and systems (NEWCAS)

作者： Amir Mirbeik-Sabzevari Laleh Najafizadeh Negar Tavassolian Stevens Institute of Technology Hoboken NJ USA Rutgers University Piscataway NJ USA

ISBN: (数字)9781728170442

ISBN: (纸本)9781728170459

this work presents three integrated pulse generators that can collectively provide a synthetic ultra-wide imaging bandwidth of 100 GHz in the millimeter-wave regime. Such a development is the first step towards the realization of a fully-integrated ultra-high-resolution imaging chip for biomedical applications. the pulse generators are designed in a Global Foundry 130-nm SiGe BiCMOS process technology and produce pulses with frequency ranges of 10-40-GHz, 40-75-GHz, and 75-110-GHz respectively. the three sub-band pulse generators possess a similar differential pulsed VCO configuration with the highest average power consumption of 40 mW.

关键词： image reconstruction Scattering parameters Reconstruction algorithms Oscillators Transmitting antennas

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Collaborative Multi-Object Tracking as an Edge Service using Transfer Learning

Collaborative Multi-Object Tracking as an Edge Service using...

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IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Han Sun Yu Chen Alexander Aved Erik Blasch Binghamton University SUNY Binghamton NY USA The U.S. Air Force Research Laboratory Rome NY USA

ISBN: (纸本)9781728176505

Video cameras have been pervasively deployed in Smart Cities and timely processing of the huge amount of video data brings up new challenges. Each individual camera is only able to cover a limited range due to the effective monitoring distances and the complicated layout of a building or an area. Once the object of interest moves away from the camera field of view, the system may lose object tracking. When the object appears and is captured by another camera, object detection, feature abstraction, and behavior classification require an association with other video data exploitation results. Hence, pragmatic approaches for object re-verification (or re-acquisition) are needed so as to not infer the object as a new track. In this paper, we propose a novel Collaborative Multi-Object Tracking system as an Edge service (CoMOTE) based on transfer learning technology. A transfer learning-based human detection and tracking method is introduced, which allocates most of the computing tasks on edge devices. An edge server is adopted to integrate information from edge cameras for decision-making to enable multi-view surveillance. the CoMOTE scheme not only reduces the dependence on a central server but also leads to a lower communication cost. Implemented on edge nodes (Raspberry Pi 4) and tested with WildTrack multi-view video database, extensive experimental results verify that the CoMOTE prototype achieved the design goal and outperforms multiple state-of-the-art methods.

关键词： Performance evaluation image edge detection Surveillance Transfer learning Collaboration Prototypes Object detection

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A Heterogeneous Implementation of the Sobel Edge Detection Filter Using OpenCL

A Heterogeneous Implementation of the Sobel Edge Detection F...

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International conference on Modern Circuits and systems Technologies (MOCAST)

作者： theodora Sanida Argyrios Sideris Minas Dasygenis Department of Electrical & Computer Engineering University of Western Macedonia Kozani Greece

ISBN: (数字)9781728166872

ISBN: (纸本)9781728166889

Today, edge detection is a cornerstone technique as edges are essential in many applications, such as image processing and biometric imaging. One popular algorithm for edge detection is the Sobel. Many researchers have focused on accelerating the Sobel filtering, but to the best of our knowledge we are the first to propose a 5×5 convolution kernel implementation using OpenCL. In this work, we implement the Sobel filter, one of the most effective and popular edge detection algorithms in image processing, in the OpenCL programming language. From the implementation of the Sobel algorithm we compare the performance of the CPU and GPU through OpenCL, in typical images ranging from 64×64 to 4096×4096 pixels. the Sobel operator uses a pair of 3×3 horizontal and vertical convolution kernels for edge detection functions. We apply 3×3 and 5×5 convolution kernels using OpenCL and compare them. the results have shown that for all image sizes, the GPU speed up ranges from 11,18 to 15,46 times with 3×3 convolution kernels, while speed up is from 10,05 to 13,46 times for the 5×5 convolution kernels. Finally, the results of our implementation are compared to other existing implementations and found to achieve better performance.

关键词： Kernel Convolution image edge detection Graphics processing units image resolution Computer languages Computer architecture

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Machine Vision Based Weight Prediction for Flatfish 18

Machine Vision Based Weight Prediction for Flatfish

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18th International conference on Control, Automation and systems (ICCAS)

作者： Hwang, K. H. Choi, J. W. Pusan Natl Univ Sch Mech Engn Busan 46241 South Korea

ISBN: (纸本)9788993215151

In fisheries industry, flatfish accounts for about half of the domestic fish production and is a specie with active aquaculture activities. As flatfish grows, classification according to the size should be periodically carried out for efficient growth. In this paper, the correlation between area and weight of flatfish required for classification algorithms using machine vision is derived. 120 simulations are performed using flatfish models and the area is obtained through image processing. In image processing process, the area of flatfish model is calculated using a reference square known in size. the weight of actual fish corresponding to the length of the model is obtained using the reference equation. then, regression analysis is performed to derive the interpolation of linear and power equations which show correlation between area and weight of the flatfish.

关键词： Machine vision Regression analysis Parameter estimation image processing

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Poster Abstract: An Automated Real-time and Affordable Airborne Pollen Sensing System

Poster Abstract: An Automated Real-time and Affordable Airbo...

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International Symposium on Information processing in Sensor Networks (IPSN)

作者： Nam Cao Olga Saukh Lothar thiele Institute of Technical Informatics Graz University of Technology ETH Zurich Computer Engineering and Networks Lab

ISBN: (纸本)9781728107271

In this paper, we present the design of our prototype of an automated real-time and affordable pollen sensing system. the design consists of three main subsystems: (1) a trap with automatic filtering, (2) a particle concentration system, and (3) a digital microscope with autofocus. the prototype shows effective particle gathering, filtering and concentration in a tiny sized area. As a result, we reduce particle loss and improve image quality taken by the optical system when searching and autofocusing on pollen grains. Our first prototype collects raw time-stamped data and transmits these to the backend server where we plan to run the detection and classification algorithms to extract accurate pollen counts from microscopic images. the key advantage of processing images at the backend is that we let the experts undertake corrective actions and help the system learn to detect and classify pollen using state-of-the-art interactive imitation learning algorithms. the final model can then run locally on embedded hardware.

关键词： Microscopy Prototypes Cyclones Sensors Real-time systems Filtering image resolution

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Number Recognition of Parts Book Schematics using Convolutional Recurrent Neural Network 18

Number Recognition of Parts Book Schematics using Convolutio...

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18th International conference on Control, Automation and systems (ICCAS)

作者： Genc, Erdal Shin, Hee Ran Park, Jang Sik Kyunsung Univ Dept Elect & Elect Engn 48434 309 Suyeong Ro Busan South Korea

ISBN: (纸本)9788993215151

OCR (Optical Character Recognition) has been becoming a vital method to recognize digits, letters, symbols and so on. the main idea is basically the conversion of data files which consists of handwritten or machine-written digits or characters into a type to let the machine make edits and read. this way, it lets computers read articles or books. they can also read images and make the conversion to a text file by using OCR. there are two important benefits of OCR. First, is the enhancement of the device to operate more productively even if the number of employees is decreased. Secondly, is the increase in the efficiency of the storage. this paper compares two state-of-the-art OCR algorithms in a simulated environment by using modified dataset. Simulation results are shown in part 4.

关键词： OCR MLP Deep Learning Computer Vision RNN LSTM image processing

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Objects Detection and Recognition in Videos for Sequence Learning

Objects Detection and Recognition in Videos for Sequence Lea...

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IEEE International conference on Cognitive Informatics

作者： Yingxu Wang Tony Cai Omar Zatarain International Institute of Cognitive Informatics and Cognitive Computing (ICIC) Schulich School of Engineering and Hotchkiss Brain Institute University of Calgary 2500 University Drive NW Calgary Alberta Canada

ISBN: (数字)9781728114194

ISBN: (纸本)9781728104966

A key challenge to sequence learning for video comprehension is objects detection and localization in dynamic and real-time environment. this paper presents two methodological approaches to autonomous and generic object detection and localization in video sequences. algorithms for both facial and non-facial object localization, as well as their integration, are developed. A set of experiments and case studies for practical video image processing is demonstrated for sequence learning. this work paves a way to sequence learning towards enhanced computer and robot vision technologies in applications of self-driving cars and real-time facial recognition.

关键词： Object detection Videos image edge detection Clustering algorithms Real-time systems Heuristic algorithms Visualization

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Implementation of An Ultrasound platform for Proposed Photoacoustic image Reconstruction Algorithm 18

Implementation of An Ultrasound platform for Proposed Photoa...

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18th IEEE International conference on Bioinformatics and Bioengineering

作者： Batbayar, Enkhbat Tumenjargal, Enkhbaatar Song, Chulgyu Ham, Woonchul Chonbuk Natl Univ Elect Div Jeonju South Korea

ISBN: (纸本)9781538662175

Photoacoustic tomography is a quickly growing imaging method that can provide images of high spatial resolution and high contrast at a limited depths. Medical photoacoustic processing characteristics two main components: A transducer is required to transmit laser pulses and acquire the reflected ultrasound signals and a back-end processing system that will generate the final reconstructed image. In this paper, we introduce an implementation of the receive part of proposed embedded system and briefly discuss reconstruction algorithms which are used in medical imaging systems. Furthermore, an intellectual property core (IP-core), which can be controlled and configured by a user application on Zynq-7000 System-On-Chip (SoC) via AXI-Lite Interface, that can receive multichannel digitized raw signals from Analog-Front-End (AFE) device via Low Voltage Differential Signal (LVDS), is proposed for photoacoustic imaging systems. Besides, block diagram of the system, the hardware design flow and the proposed IP-core are fully described in this paper. In order to effortlessly test and evaluate a wide variety of ultrasonic signal processing applications, 16 channel system is implemented and demonstrated by using TI AFE5816 Evaluation module (EVM) based on AFE5816 device and Xilinx ZC702 Evaluation Kit based on Zynq-7000 SoC. Apart from working on hardware, we review and commented on the proposed 3-Dimensional photoacoustic image reconstruction algorithm.

关键词： Photo-acoustic image portable ultrasound system multichannel AFE reconstruction algorithm

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