Microbial OD600 measurement is a crucial experimental technique in microbiological and molecular biological research, evaluating microbial growth by measuring optical density at 600 nm wavelength. While convenient, th...
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The multibody system transfer matrix method (MSTMM) is a novel dynamic approach which avoids global dynamics equations with a system inertia matrix, utilizes low‐order matrices independent of system degree of freedom...
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This paper realizes the high parallelhardware acceleration of machine learning and artificial neural networks through resource reuse. This method meets the requirements of the application side for network diversifica...
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The proceedings contain 79 papers. The special focus in this conference is on Communication, Electronics and Digital Technologies. The topics include: Design and Development of parallel Beamformer Model for RTL Verifi...
ISBN:
(纸本)9789819736003
The proceedings contain 79 papers. The special focus in this conference is on Communication, Electronics and Digital Technologies. The topics include: Design and Development of parallel Beamformer Model for RTL Verification;early Detection of Oral Cancer Using Image processing and Computational Techniques;loRa Enabled IoT Sensor Framework for Monitoring Urban Flood in Guwahati City;study and Implementation of Smart Positioner Prototype for Industrial Applications;tactile Internet: A Next Gen IoT Technology;a Deep Learning Approach for hardware Trojan Detection in Netlist of Integrated Circuits with Graph Neural Networks;a Comparative Study of Jpeg and Similar Compression Standards for Wireless Communication;iot-Based Transport Monitoring System for Pharmaceutical Industry;non-intrusive Remote Apiculture Monitoring System;design and Analysis of Enhanced Bandwidth Slotted Logarithmic Spiral Patch Antenna for 5G Communication;IoT Based Real-Time Automatic Number Plate Detection Using OpenCV;prompt Engineering for the Automated Generation of Weaving Pattern;blood Disease Detection System Based on Haemogram Report Using Decision Tree Algorithm;Development of SPR Sensor-Based System for Copper Ion Detection in Water;generation of YuBraj Twist and YuBrajTwest Weaves;maintenance and Performance of Solar Water Pump in a Rural Agricultural Community: A Case Study;integrative Analysis of Cancer Gene Expression Using Bio-Inspired algorithms and Machine Learning: Identification of Key Genes;Potential of AI in Pharma: Bridge the Gap Between Data and Therapeutics;A PC-Based Ultrasound Color Doppler Performance Improvement Using Intel® IPPs;Deep Reach Centrality: An Innovative Network Centrality Metric Grounded in Distance and Degree, with Its Performance Analysis Applied to the SARS-CoV-2 Protein–protein Interaction Network.
The proceedings contain 79 papers. The special focus in this conference is on Communication, Electronics and Digital Technologies. The topics include: Design and Development of parallel Beamformer Model for RTL Verifi...
ISBN:
(纸本)9789819736034
The proceedings contain 79 papers. The special focus in this conference is on Communication, Electronics and Digital Technologies. The topics include: Design and Development of parallel Beamformer Model for RTL Verification;early Detection of Oral Cancer Using Image processing and Computational Techniques;loRa Enabled IoT Sensor Framework for Monitoring Urban Flood in Guwahati City;study and Implementation of Smart Positioner Prototype for Industrial Applications;tactile Internet: A Next Gen IoT Technology;a Deep Learning Approach for hardware Trojan Detection in Netlist of Integrated Circuits with Graph Neural Networks;a Comparative Study of Jpeg and Similar Compression Standards for Wireless Communication;iot-Based Transport Monitoring System for Pharmaceutical Industry;non-intrusive Remote Apiculture Monitoring System;design and Analysis of Enhanced Bandwidth Slotted Logarithmic Spiral Patch Antenna for 5G Communication;IoT Based Real-Time Automatic Number Plate Detection Using OpenCV;prompt Engineering for the Automated Generation of Weaving Pattern;blood Disease Detection System Based on Haemogram Report Using Decision Tree Algorithm;Development of SPR Sensor-Based System for Copper Ion Detection in Water;generation of YuBraj Twist and YuBrajTwest Weaves;maintenance and Performance of Solar Water Pump in a Rural Agricultural Community: A Case Study;integrative Analysis of Cancer Gene Expression Using Bio-Inspired algorithms and Machine Learning: Identification of Key Genes;Potential of AI in Pharma: Bridge the Gap Between Data and Therapeutics;A PC-Based Ultrasound Color Doppler Performance Improvement Using Intel® IPPs;Deep Reach Centrality: An Innovative Network Centrality Metric Grounded in Distance and Degree, with Its Performance Analysis Applied to the SARS-CoV-2 Protein–protein Interaction Network.
With the advancement of more electric aircraft, the Environmental Control System (ECS) has progressively shifted from the traditional engine bleed mode to an electric drive mode. This transition not only significantly...
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In this paper, a fixed fault model is established, and a digital chip tester is designed with HT46RU24 as the core. The FPGA+SDRAM high performance hardwareprocessing platform is built according to the high efficienc...
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In this paper, a fixed fault model is established, and a digital chip tester is designed with HT46RU24 as the core. The FPGA+SDRAM high performance hardwareprocessing platform is built according to the high efficiency of FPGA parallelprocessing. Using Quartus II software and Verilog HDL hardware description language to write a program to detect the edge of chip pins. In this paper, a chip detection algorithm based on generalized Hough transform is proposed to reduce the computational complexity. The main idea of this algorithm is to combine multi-scale analysis with generalized Hough transform. The algorithm is applied to the chip detection of automatic optical detection system. Then the system controls and tests the operation of the hardware through the test code and compares the test results with the exact values. The simulation results show that the system can automatically give the result of right or wrong judgment.
In recent years, with the rapid development of network technology in our country, neural network algorithm is widely recognized and applied to image. U-Net is one of them, which can effectively improve the efficiency ...
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In recent years, with the rapid development of network technology in our country, neural network algorithm is widely recognized and applied to image. U-Net is one of them, which can effectively improve the efficiency of FPGA network hardware utilization, and thus enhance the acceleration system. The main principle of the U-Net is to accelerate the speed of convolutional computation by means of circular flow and circular unfolding, and to improve the performance of the network hardware. In order to learn more about it, this paper will discuss the relevant research.
Convolutional neural networks (CNN) due to their excellent accuracy, have emerged as the leading machine learning method. However, it becomes difficult to deploy CNN algorithms on hardware platforms because of their h...
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Convolutional neural networks (CNN) due to their excellent accuracy, have emerged as the leading machine learning method. However, it becomes difficult to deploy CNN algorithms on hardware platforms because of their high memory bandwidth, computational complexity, and power consumption. hardware accelerators such as Field Programmable Gate Arrays (FPGA), Graphics processing Unit (GPU), etc. are excellent platforms for modelling CNN algorithms. The purpose of the paper is to run a standard software process in hardware and exploit natural parallelism in hardware to speed up neural network prediction. The paper presents a rule-based synthesizable Advanced Microcontroller Bus Architecture (AMBA) Advanced eXtensible Interface (AXI) protocol for high-speed data transmission. The paper develops a computer vision system on an FPGA that could recognize the numbers 0 through 9 written by hand for the capstone design project. The findings show that 91% accuracy is achieved through Rectified linear activation unit (ReLU) which can be increased to 98% by implementing the Sigmoid activation function with a depth of 10 bits. The method provides good accuracy and clock performance while using few resources.
Image compression has always been a hot topic in the field of aerospace. The onboard processing unit, due to its background of deep space operation, has greatly limited performance in terms of data storage and data tr...
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ISBN:
(数字)9798331540043
ISBN:
(纸本)9798331540050
Image compression has always been a hot topic in the field of aerospace. The onboard processing unit, due to its background of deep space operation, has greatly limited performance in terms of data storage and data transmission. Satellite remote sensing images are developing towards larger size, higher frame frequency, and more frequency bands, which increasingly demand storage space andprocessing power. There is an urgent need for a set of efficient and lightweight image compression hardware and software. Therefore, in this work, we have improved the Context-Based Adaptive Lossless Image Compression (CALIC) algorithm, including error quantization and entropy coding, to meet the requirements for on-orbit processing in terms of compression time and compression ratio. At the same time, aiming at the working scenario of on-orbit processing, we chose Field-Programmable Gate Array (FPGA) as the platform to deploy the improved CALIC and designed the arithmetic coding Av value calculation process in parallel on this basis, which greatly reduced the processing time on the hardware side. We have carried out simulation verification of this paper’s image compression algorithm on the KODAK24 and SZTAKI_Airchange datasets. The experimental results show that our method strikes a good balance between compression ratio and compression rate compared with typical compression algorithms, making it suitable for on-orbit processing scenarios.
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