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检索条件"主题词=Software algorithms"

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A floating-point solver for band structured linear equations

A floating-point solver for band structured linear equations

引用

IEEE International Conference on Field-Programmable Technology (FPT)

作者： Antonio Roldao Lopes George A. Constantinides Eric C. Kerrigan Electrical and Electronic Engineering Department Imperial College London Department of Aeronautics Imperial College London

Field programmable gate arrays (FPGAs) have gradually been increasing their capacities and started to incorporate optimized coarse-grained modules such as BlockRAMs, multipliers, and even processors. These developments have extended their field of applications and one field that has been gaining significant interest is the acceleration of floating-point scientific computing. In this field, a recurring subtask is the solution of systems of linear equations. One well studied method that has proven to be very efficient in software and robust at finding such solutions is the conjugate gradient (CG) algorithm. In this paper we present a hardware CG method which takes advantage of the banded structure present in many common problems. With the flexibility provided by FPGAs, this implementation employs wide-parallelization to convert the per iteration computation time for an order n matrix with band width w from Theta(nw) clock cycles for a software implementation to Theta(n) in hardware. It also explores deep-pipelining so that solutions to P problems are produced every Theta(n) cycles opposed to every Theta(Pnw) cycles in software. Results demonstrate that performances up to 32 GFLOPs are achievable on a Virtex5-330T FPGA and a software comparison reports significant speed-ups in relation to high-end CPUs.

关键词： Equations Field programmable gate arrays Character generation Hardware Application software Acceleration Scientific computing Robustness software algorithms Matrix converters

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Design and implementation of an espionage network for cache-based side channel attacks on AES

Design and implementation of an espionage network for cache-...

引用

International Joint Conference on e-Business and Telecommunications (ICETE)

作者： Bholanath Roy Ravi Prakash Giri Ashokkumar C. Bernard Menezes Department of Computer Science Indian Institute of Technology Bombay Mumbai India Department of Computer Science Shri Mata Vaishno Devi University Jammu India

ISBN: (纸本)9781467385329

We design and implement the espionage infrastructure to launch a cache-based side channel attack on AES. This includes a spy controller and a ring of spy threads with associated analytic capabilities - all hosted on a single server. By causing the victim process (which repeatedly performs AES encryptions) to be interrupted, the spy threads capture the victim's footprints in the cache memory where the lookup tables reside. Preliminary results indicate that our setup can deduce the encryption key in fewer than 30 encryptions and with far fewer victim interruptions compared to previous work. Moreover, this approach can be easily adapted to work on diverse hardware/OS platforms and on different versions of OpenSSL.

关键词： Instruction sets Timing Servers software algorithms

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GPU-Based Fast Imaging Scheme for GB-MIMO Radar

GPU-Based Fast Imaging Scheme for GB-MIMO Radar

引用

IEEE International Conference on Radar

作者： Sican Hou Xiaoyu Ren Weiming Tian Yunkai Deng Xichao Dong Key Laboratory of Electronic and Information Technology in Satellite Navigation Ministry of Education Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center (Beijing Inistitute of Technology) Beijing China Radar Research Lab School of Information and Electronics (Beijing Institute of Technology) Beijing China

ISBN: (纸本)9781665468893

GB-MIMO (Ground-Based Multiple Input Multiple Output) radar plays an important role in landslide disaster prevention. Common MIMO radar imaging based on BP (Back Projection) algorithm is slow, and severely affects the real-time performance of deformation measurement. In this paper, a fast imaging scheme applied for GB-MIMO radar is proposed based on a heterogeneous system consisting of CPU (Center Processing Unit) and GPU (Graphic Processing Unit). The signal processing architecture is firstly designed according to the radar imaging principle and algorithm analysis. Then the acceleration technology of GPU is studied with CUDA technology. The results show that the computing speed achieves 30∼35 times in three different echo sizes less than conventional schemes, which proves that the method can meet the requirement of real-time well.

关键词： MIMO radar software algorithms Imaging Graphics processing units Signal processing algorithms Radar Computer architecture

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Mulitchannel Real Time Spike Sorting for Decoding Ripple Sequences

Mulitchannel Real Time Spike Sorting for Decoding Ripple Seq...

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International IEEE/EMBS Conference on Neural Engineering

作者： Ankit Sethi Caleb T. Kemere Department of Electrical and Computer Engineering Rice University Department of Neuroscience Baylor College of Medicine

ISBN: (纸本)9781467363877

In the CA1 region of the rat hippocampus, fast field oscillations termed sharp wave ripples have been identified as playing a crucial role in memory formation and learning. During ripple activity, particular sequences of neurons fire in a phenomena called replay. So termed because the spiking encodes patterns of past experiences, the exact role of the content of replay is an active subject of investigation in order to determines its relationship with learning and memory guided decision making. A need arises for systems that can decode replay activity during ripples in real time. This necessitates fast algorithms for both spike sorting and ripple detection with the lowest possible latency. A low latency implementation makes possible feedback experiments where decoded ripple sequences can, with minimal delay, trigger stimulating pulses that can disrupt particular kinds of decoded information before they can contribute to behavior. In this study, we optimize and implement a recently proposed online spike sorting algorithm for an increasingly popular electrophysiological software suite and measure improvements that greatly enhance its multi-tetrode decoding capabilities. Synchronizing with online ripple detection, this novel framework will allows experimenters to study the effects of disrupting replay activity with a degree of granularity hitherto unavailable.

关键词： Neurons Sorting Real-time systems Noise Decoding Dictionaries software algorithms

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An Alternate Approach for Developing Higher Radix FFT algorithms

An Alternate Approach for Developing Higher Radix FFT Algori...

引用

IEEE Asia-Pacific Conference on Circuits and Systems

作者： Saad Bouguezel M. Omair Ahmad M.N.S. Swamy Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal Canada

In this paper, the authors propose an alternate method to derive higher radix FFT algorithms by using a recursive approach and by appropriately combining the twiddle factors without increasing the structural complexity. Specifically, efficient radix-8 and radix-16 FFT algorithms are designed and their arithmetic complexities shown to be slightly less than those of the corresponding existing Cooley-Tukey FFT algorithms

关键词： Signal processing algorithms Arithmetic Discrete Fourier transforms Hardware Algorithm design and analysis Fast Fourier transforms software algorithms Table lookup Counting circuits Hydrogen

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Learning momentum: integration and experimentation

Learning momentum: integration and experimentation

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： J.B. Lee R.C. Arkin Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0780365763

We further study the effects of learning momentum as defined by Arkin, Clark and Ram (1992) on robots, both simulated and real, attempting to traverse obstacle fields in order to reach a goal. Integration of these results into a large-scale software architecture, MissionLab, provides the ability to exercise these algorithms in novel ways. Insight is also sought in reference to when different learning momentum strategies should be used.

关键词： Mobile robots Learning software architecture Navigation History Laboratories Educational institutions Large scale integration software algorithms Robot control

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Selected Topics of Artificial Intelligence in Robotics

Selected Topics of Artificial Intelligence in Robotics

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Mechanical Engineering and Robotics Research (ICMERR), International Conference on

作者： Joanna Kwiecień Department of Automatic Control and Robotics AGH University of Science and Technology Kraków Poland

The paper is focused on the selected area of artificial intelligence (AI) applications, and presents only two examples relating to robotics and robotic systems. It is particularly interested in swarm intelligence method applied to path planning problems, and machine and deep learning approaches to anomaly detection. Based on existing methods of AI, we discuss important aspects for the application of AI technologies to view some research problems from robotics perspective.

关键词： Deep learning Training Technological innovation software algorithms Artificial intelligence Task analysis Particle swarm optimization

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A VLSI design of sensor node for wireless image sensor network

A VLSI design of sensor node for wireless image sensor netwo...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Renyan Zhou Leibo Liu Shouyi Yin Ao Luo Xinkai Chen Shaojun Wei Research Center of Mobile Computing Institute of Microelectronics Tsinghua National Laboratory of Information Science and Technology Tsinghua University Beijing China

This paper presents a single chip VLSI architecture of wireless image sensor node, which is constituted by an enhanced embedded 8051 microcontroller, a CMOS camera interface and hardware accelerators. The algorithms and control flows of the IEEE 802.15.4 MAC layer are accelerated by hardware, results in 45% less code size compared with the conventional software stack. An innovated CFA preprocessing algorithm and JPEG-LS compressing method is adopted and implemented by hardware, which has a minimal 46.3dB PSNR, an average compression ratio of about 3.0bit/pixel and an approximately 5fps at 16MHz system clock. Furthermore, low power design and techniques are employed to extend battery life, resulting in 60mW max system power consumption when the SoC is in full working mode (i.e. processor, image processing and wireless communication are active simultaneously) in 0.18μm CMOS process.

关键词： Image sensors Wireless sensor networks Very large scale integration Hardware CMOS image sensors Image coding Computer architecture Microcontrollers Cameras software algorithms

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Driver fatigue detection based on multi-feature fusion facial features

Driver fatigue detection based on multi-feature fusion facia...

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Big Data & Artificial Intelligence & software Engineering (ICBASE), International Conference on

作者： Run Yuan Haonan Long Hunan Automotive Engineering Vocational University Zhuzhou Hunan China

ISBN: (数字)9798331506612

ISBN: (纸本)9798331506629

Fatigue driving is the main factor causing traffic accidents. To reduce the traffic risk, we explores a driver fatigue detection method based on OpenCV combined with PHOG algorithm. By extracting facial feature points from the eyes and mouth of drivers, this study employs an adaptive eyelid closure threshold for the eyes and a feature correction algorithm based on Euler angles. This approach enables real-time computation of fatigue indicators such as PERCLOS, blink frequency, and yawn frequency. By weighting and fusing these characteristic indicators, a fatigue score for the driver is derived. Based on predefined thresholds, the driver’s fatigue level is assessed, and corresponding warning messages are issued. Experimental results demonstrate the effectiveness of the proposed method in identifying driver fatigue, providing a reliable auxiliary tool for enhancing driving safety.

关键词： Face recognition software algorithms Mouth Fatigue Feature extraction Stability analysis Safety Reliability Facial features software engineering

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Autonomous Delivery Vehicle System Based on Multi-Sensor Data Fusion

Autonomous Delivery Vehicle System Based on Multi-Sensor Dat...

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Intelligent Robotics and Automatic Control (IRAC), International Conference on

作者： Runyu Lei Longbin Tang Jiaxin Guo Jie Sun Qinglei Bu National University of Singapore (Suzhou) Research Institute Suzhou China School of Advanced Technology Xi’an Jiaotong-Liverpool University Suzhou China

ISBN: (数字)9798350389807

ISBN: (纸本)9798350389814

With the rapid advancement of science and technology, people's yearning for a more convenient life has gradually become concrete, which has given rise to a huge logistics industry chain. At the same time, the ever-increasing labor costs have caused an urgent need for autonomous delivery vehicles. This paper presents the design and integration of an autonomous vehicle system for efficient indoor parcel delivery, addressing the challenges of navigating dynamic indoor environments. This vehicle system leverages a multi-sensor approach, integrating LiDAR, radar, Inertial Measurement Unit (IMU), GPS, and odometer data to provide comprehensive environmental perception and precise localization, which will contribute to the field by providing a practical application of autonomous vehicle technology in a constrained environment, offering a solution for the logistics industry’s indoor delivery challenges.

关键词： Location awareness Industries Laser radar Service robots software algorithms Data integration Indoor environment Vehicle dynamics Autonomous vehicles Logistics

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