Software Radar Hardware Architecture Based on General Computer

2013 ◽  
Vol 846-847 ◽  
pp. 207-210
Author(s):  
Xia Dong ◽  
Shou Quan Wang ◽  
Xin Zhang ◽  
Xiao Jia Ji
Keyword(s):  
Computer Architecture ◽  
Hardware Architecture ◽  
Hardware Platform ◽  
Computer Cluster ◽  
Cluster Architecture ◽  
Hardware Architectures ◽  
The One ◽  
General Computer

For software radar, different functions are realized by software running on standard hardware platform, which brings to great predominance over traditional radar. In this paper, realizable structure of software radar was analyzed, and hardware platform based on computer was studied. Two hardware architectures, one-computer architecture as well as computer cluster architecture were raised based on computer. The one-computer architecture is available to radars that cubage is restricted, while computer cluster architecture is applied in huge radar with complex computation.

Principle and Realization of Self-Trusted Access Control

2010 ◽  
Vol 171-172 ◽  
pp. 490-494
Author(s):  
Fang Yong Hou ◽  
Hong Jun He ◽  
Nong Xiao ◽  
Fang Liu
Keyword(s):  
Access Control ◽  
Computer Architecture ◽  
Trusted Computing ◽  
Computer User ◽  
Mandatory Access Control ◽  
Unique Structure ◽  
Software Attacks ◽  
General Computer

This paper proposes a security paradigm named self-trusted access control. The paradigm brought forward here is absolute different from others. It gives the computer user more power and more confidence with computing, which is specially called self-trusted access control. Its realization structure consists of hidden sensitivity label, mandatory access control and user setting. All of its components are mainly constructed on hardware level with no cooperation of OS, which makes it to be free of any kinds of software attacks. That is to say, it has a unique structure to assure that computing is trusted for the user, because user’s intentions are faithfully executed. This paper describes its principle and shows the accomplishment of such control on general computer architecture. As described, such security paradigm can make trusted computing indeed trustworthy to computer user.

scholarly journals An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks

2020 ◽  
Vol 12 (7) ◽  
pp. 113 ◽  
Author(s):  
Maurizio Capra ◽  
Beatrice Bussolino ◽  
Alberto Marchisio ◽  
Muhammad Shafique ◽  
Guido Masera ◽  
...  
Keyword(s):  
Neural Networks ◽  
High Performance ◽  
Optimization Techniques ◽  
Deep Convolutional Neural Networks ◽  
Computing Power ◽  
The Past ◽  
History Of ◽  
Hardware Architectures ◽  
The One ◽  
Main Components

Deep Neural Networks (DNNs) are nowadays a common practice in most of the Artificial Intelligence (AI) applications. Their ability to go beyond human precision has made these networks a milestone in the history of AI. However, while on the one hand they present cutting edge performance, on the other hand they require enormous computing power. For this reason, numerous optimization techniques at the hardware and software level, and specialized architectures, have been developed to process these models with high performance and power/energy efficiency without affecting their accuracy. In the past, multiple surveys have been reported to provide an overview of different architectures and optimization techniques for efficient execution of Deep Learning (DL) algorithms. This work aims at providing an up-to-date survey, especially covering the prominent works from the last 3 years of the hardware architectures research for DNNs. In this paper, the reader will first understand what a hardware accelerator is, and what are its main components, followed by the latest techniques in the field of dataflow, reconfigurability, variable bit-width, and sparsity.

scholarly journals A Python-WSGI and PHP-Apache Web Server Performance Analysis by Search Page Generator (SPG)

2021 ◽  
Vol 5 (1) ◽  
pp. 132-138
Author(s):  
Hataw Jalal Mohammed ◽  
Kamaran Hama Ali Faraj
Keyword(s):  
Computer Architecture ◽  
Source Code ◽  
Web Server ◽  
The Other ◽  
Web Database ◽  
Web Servers ◽  
Web Technologies ◽  
Server Side ◽  
The One ◽  
The Web

The web servers (WSGI-Python) and (PHP-Apache) are in middleware tier architecture. Middleware architecture is between frontend tier and backend tier, otherwise it’s a connection between frontend tier and backend tier for three tier architecture. The ELearning systems are designed by two different dynamic web technologies. First is by Python-WSGI and the second is by Personal Home Page (PHP-Apache). The two websites were designed with different open source and cross platform web technologies programming language namely; Python and PHP in the same structure and weight will evaluate perform over two different operating systems (OSs): 1) Windows-16 and 2) Linux-Ubuntu 20.4. Both systems run over the same computer architecture (64bit) as a server side with a common backend MySQL web database for both of them. Nevertheless, the middleware for PHP is a cross Apache MySQL PHP Perl (XAMPP), but the middleware for Python is Pycharm and the web server gateway interface (WSGI). WSGI and Apache are both web servers and this paper will show which of them has a better response time (RT). On the one hand, the experimental results demonstrate that the Python-WSGI is even weightier in Mbyte than PHP-Apache, on the other hand Python is still faster and more accurate than PHP. The designed SPG is by handwriting codes: one time designed the SPG by PHP source code and the other time designed by Python source code. Both Python-WSGI and PHP-Apache results are targeted to compare by the least time in milliseconds and take in to account enhanced performance.

scholarly journals POETS: A Parallel Cluster Architecture for Spiking Neural Network

2021 ◽  
Vol 11 (4) ◽  
pp. 281-285
Author(s):  
Mahyar Shahsavari ◽  
◽  
Jonathan Beaumont ◽  
David Thomas ◽  
Andrew D. Brown
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Current System ◽  
Autonomous Control ◽  
Spiking Neural Networks ◽  
Spiking Neural Network ◽  
Hardware Platform ◽  
Cluster Architecture ◽  
Classification Pattern ◽  
Scalable Hardware

Spiking Neural Networks (SNNs) are known as a branch of neuromorphic computing and are currently used in neuroscience applications to understand and model the biological brain. SNNs could also potentially be used in many other application domains such as classification, pattern recognition, and autonomous control. This work presents a highly-scalable hardware platform called POETS, and uses it to implement SNN on a very large number of parallel and reconfigurable FPGA-based processors. The current system consists of 48 FPGAs, providing 3072 processing cores and 49152 threads. We use this hardware to implement up to four million neurons with one thousand synapses. Comparison to other similar platforms shows that the current POETS system is twenty times faster than the Brian simulator, and at least two times faster than SpiNNaker.

Hardware architecture exploration: automatic exploration of distributed automotive hardware architectures

2020 ◽  
Vol 19 (4) ◽  
pp. 911-934
Author(s):  
Johannes Eder ◽  
Sebastian Voss ◽  
Andreas Bayha ◽  
Alexandru Ipatiov ◽  
Maged Khalil
Keyword(s):  
Hardware Architecture ◽  
Architecture Exploration ◽  
Hardware Architectures

scholarly journals Hardware Architectures of the QR-Decomposition Based on a Givens Rotation Technique

2019 ◽  
pp. 606-613
Author(s):  
Alexey V. Sokolovskiy ◽  
Evgeny A. Veisov ◽  
Valery N. Tyapkin ◽  
Dmitry D. Dmitriev
Keyword(s):  
Fixed Point ◽  
Hardware Implementation ◽  
Qr Decomposition ◽  
Hardware Architecture ◽  
Cordic Algorithm ◽  
Matrix Size ◽  
Givens Rotation ◽  
Hardware Architectures ◽  
Rotation Technique ◽  
Suitable Technique

The fixed-point hardware architecture of the QR decomposition is constrained by a several issues that leads to decrease of a compute accuracy depending on a matrix size. In this article described the hardware architectures based on CORDIC algorithm and approximation functions. As a basis technique is used a Givens rotation technique, because it is a most suitable technique for hardware implementation

E|Flow - Decentralized Computer Architecture and Simulation Models for Sustainable and Resource Efficient Intralogistics

2016 ◽  
Vol 856 ◽  
pp. 117-122 ◽  
Author(s):  
Michael Scholz ◽  
Sven Kreitlein ◽  
Jörg Franke
Keyword(s):  
Path Planning ◽  
Computer Architecture ◽  
Material Flow ◽  
Discrete Event ◽  
Simulation Models ◽  
Transportation Systems ◽  
Transport Systems ◽  
Lot Size ◽  
Management Concepts ◽  
The One

Nowadays material flow in factories is realized by different concepts of transport. Each of those specific conveyers has pros and cons due to its concept. In general, the state of art of transport systems have a low flexibility of the path planning and are not suitable for dynamic transport requirements, wherefore they are designed for a specific application. Generally, the common systems cover a specific task of transportation and can fulfill a predefined maximum amount of transportation orders. Due to the effects of mass-customization there is an increase of the variance of the products combined with a reduction of the number of units per variation and a volatile costumer demand. Therefore, it is necessary that the next generations of production lines, especially the intralogistics transportation systems, have to be designed more adaptable and flexible. The object of the research in this paper is a cyber-physical material flow system with flexible, autonomous and collaborative vehicles combined with centralized sensors to digitalize the workspace. Furthermore, the number of vehicles in the system can be adjusted to the volume of the transport requirement, wherefore the system is suitable for different tasks in the intralogistics. Due to the approach of a decentralized digitalization of the workspace on the one hand side and the decentralized architecture of the path planning and order allocation system on the other hand side the concept lead to a nearly endless scalability of the system. The scalability is only restricted by the maximum number of entities which can use the communication system. Therefore, it is possible that the system adjust itself to the actual intralogistics demand as well as the dimension of the field of operation. This lead to a self-adjustable intralogistics transportation system which avoid a physical redesign of the whole system if the intralogistics demand is changing. To validate the approach, the decentralized intelligence of the transport entities and the production units is implemented in a discrete event simulation. In this simulation environment different task allocation methods, sizes of the transportation fleet, lot size management concepts and site layout concepts can be compared and rated which each other.

scholarly journals Implementation challenge and analysis of thermal image degradation on R-CNN face detection

2020 ◽  
Vol 12 (2) ◽  
pp. 98-103
Author(s):  
Nikola Latinović ◽  
Tijana Vuković ◽  
Ranko Petrović ◽  
Miloš Pavlović ◽  
Marko Kadijević ◽  
...  
Keyword(s):  
Face Detection ◽  
Thermal Infrared ◽  
Image Degradation ◽  
Hardware Platform ◽  
Video Signal Processing ◽  
Detection Systems ◽  
Infrared Cameras ◽  
Thermal Face ◽  
The One ◽  
Good Visibility

Face detection systems with color cameras were rapidly evolving and have been well researched. In environments with good visibility they can reach excellent accuracy. But changes in illumination conditions can result in performance degradation, which is the one of the major limitations in visible light face detection systems. The solution to this problem could be in using thermal infrared cameras, since their operation doesn't depend on illumination. Recent studies have shown that deep learning methods can achieve an impressive performance on object detection tasks, and face detection in particular. The goal of this paper is to find an effective way to take advantages from thermal infrared spectra and provide an analysis of various image degradation influence on thermal face detection performance in a system based on R-CNN with special accent on implementation on a hardware platform for video signal processing that institute Vlatacom has developed, called vVSP.

Note on Selection of Coordinate Systems for Geodynamics

1975 ◽  
Vol 26 ◽  
pp. 395-407
Author(s):  
S. Henriksen
Keyword(s):  
Sea Level ◽  
The Other ◽  
Coordinate Systems ◽  
Mean Sea Level ◽  
The Earth ◽  
The One ◽  
Static Systems ◽  
Selection Of

The first question to be answered, in seeking coordinate systems for geodynamics, is: what is geodynamics? The answer is, of course, that geodynamics is that part of geophysics which is concerned with movements of the Earth, as opposed to geostatics which is the physics of the stationary Earth. But as far as we know, there is no stationary Earth – epur sic monere. So geodynamics is actually coextensive with geophysics, and coordinate systems suitable for the one should be suitable for the other. At the present time, there are not many coordinate systems, if any, that can be identified with a static Earth. Certainly the only coordinate of aeronomic (atmospheric) interest is the height, and this is usually either as geodynamic height or as pressure. In oceanology, the most important coordinate is depth, and this, like heights in the atmosphere, is expressed as metric depth from mean sea level, as geodynamic depth, or as pressure. Only for the earth do we find “static” systems in use, ana even here there is real question as to whether the systems are dynamic or static. So it would seem that our answer to the question, of what kind, of coordinate systems are we seeking, must be that we are looking for the same systems as are used in geophysics, and these systems are dynamic in nature already – that is, their definition involvestime.

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