Hardware Design of Electronic Ignition System for Special Electromechanical Device

2011 ◽  
Vol 58-60 ◽  
pp. 491-494
Author(s):  
Xiao Luo ◽  
Qing Sheng Luo ◽  
Yong Gang Cao ◽  
Lei Shi
Keyword(s):  
Circuit Design ◽  
Hardware Design ◽  
Safety Performance ◽  
Security Design ◽  
Control Module ◽  
Ignition System ◽  
Analog Switch ◽  
Electromechanical Device ◽  
Design Idea ◽  
Switch Circuit

The electronic ignition system for special electromechanical device is composed of control module, analog switch circuit, ignition driver module and ignition module. The key point to make the system work quickly, real time, safety and accurately is the hardware design. Study on electronic ignition circuit design for special electromechanical device considering security design is employed to effectively increase the reliability and safety performance, which corresponding design idea and technical way can lay a theoretical and technical foundation for subsequent research.

High Precision Electronic Scale Design Based on MCU

2013 ◽  
Vol 427-429 ◽  
pp. 616-619
Author(s):  
Xing Hong Kuang ◽  
Zhe Yi Yao ◽  
Zhe Yi Yao ◽  
Shi Ming Wang
Keyword(s):  
Data Processing ◽  
High Precision ◽  
Software Design ◽  
Hardware Design ◽  
Control Unit ◽  
Design Idea ◽  
Scale Design ◽  
Hardware Circuit

This paper introduces a design of the High Precision Electronic Scale Design Based on MCU, Hardware circuit reaches data processing by the control unit which based on MCU, and The MCU gathers data by weighting sensor, then the LM331 makes V/F transform, and the transformed data then transferred to MCU for display processing. At last, the LCD would show it out steadily without twinkling. The paper mainly puts forward the scheme and software design idea, hardware design.

Autonomous Mobile Robot for Small Advertisements Cleaning

2011 ◽  
Vol 183-185 ◽  
pp. 1757-1761
Author(s):  
Dong Jie Li ◽  
Wan Zhe Xiao ◽  
Jia Bin Wang
Keyword(s):  
Mobile Robot ◽  
Circuit Design ◽  
Vision System ◽  
Control Strategies ◽  
Hardware Design ◽  
Autonomous Mobile Robot ◽  
Service Oriented ◽  
Design Requirements ◽  
Robot Body ◽  
Hardware Structure

A mobile robot with autonomous recognition and automatic clearing small advertisements on the ground is presented. It’s the service-oriented robot for cleaning of small advertisements. The robot body is designed according to the design requirements of clearing and the control strategies for tracing and recognition small advertisements are proposed. The key issue of the robot is the hardware design for moving clean assisted by vision system and corresponding recognition methods. The results show the feasibility of the hardware structure, circuit design and program algorithm.

Design of Driving Circuit of Area Array CCD with Interline Transfer Based on FPGA

2013 ◽  
Vol 860-863 ◽  
pp. 2365-2368
Author(s):  
Zhao Li ◽  
Lei Xu
Keyword(s):  
Circuit Design ◽  
Hardware Design ◽  
Verilog Hdl ◽  
Development Environment ◽  
Area Array ◽  
Working Principle ◽  
Driving Circuit

In this paper, FPGA is chosen as the hardware design platform, on the base of sufficient analysis of ICX204AL's working principle and driving timing, the driving timing of CCD is described with Verilog HDL in the development environment of QuartusII 9.0. Finally, Modelsim SE 6.4a is employed to carry on the simulation to verify the accuracy of the design. The result shows that the driving circuit design can meet the demands of ICX204AL, and the CCD can work stably.

Will proof replace simulation?

1992 ◽  
Vol 339 (1652) ◽  
pp. 21-33
Keyword(s):  
Circuit Design ◽  
Hardware Design ◽  
Daily Basis ◽  
Hardware Description Language ◽  
Test Cases ◽  
Description Language ◽  
Theorem Provers ◽  
Familiar Environment ◽  
Hardware Description ◽  
Complete Circuit

Within industry, the almost universally accepted method of validating a design against its requirement involves extrapolation from simulation of a (comparatively) small number of test cases to the behaviour of the complete circuit. That such an extrapolation is in general unjustifiable is widely accepted, but despite theorem provers’ ability to provide a mo^e robust link between specification and circuit design, very few industrial engineers are using theorem provers on a daily basis. This paper aims to consider some of the factors that may be preventing the wider application of proof methods. Specifically, RSRE has concentrated on two areas of research: the development of a largely automatic but functionally limited proof system, and more recently on a more general prover based on the concepts of a hardware description language. It is hoped to illustrate that these provers, being designed specifically for hardware design applications, may provide a more familiar environment for designers wishing to do proofs.

The Design and Implementation of a Communication Mechanism of Centralized Body Control Module

2011 ◽  
Vol 128-129 ◽  
pp. 1501-1506
Author(s):  
Yue Li Hu ◽  
Kun Wang ◽  
Bin Sun
Keyword(s):  
Future Development ◽  
Development Trend ◽  
The Body ◽  
Current Status ◽  
Operation System ◽  
Control Module ◽  
Linux Operation System ◽  
Design And Implementation ◽  
Design Idea ◽  
Control Modules

The current status and the future development trend of the body control modules are analyzed by this paper, and a new design idea of the centralized body control module based on the ARM-MCU and the Linux operation system is presented. Also the communication protocols between the main controller and the sub-nodes, the communication interfaces between ARM and MCU, and the operation interfaces on the touch screen are researched. Based on the teamwork of the ARM9 and the 16 bits MCU, the Linux OS is embedded to make the control of body network much more centralized, efficient and faster.

Research on New Control Module

2011 ◽  
Vol 181-182 ◽  
pp. 456-461
Author(s):  
Wen Song Hu ◽  
Min Zhu
Keyword(s):  
Data Storage ◽  
Design Principle ◽  
Time Sequence ◽  
Compensation Voltage ◽  
Phase Compensation ◽  
Control Data ◽  
Control Module ◽  
Asynchronous Sampling ◽  
Ac Sampling ◽  
Design Idea

This paper brings up a design idea based on EPLD, which describes the complicated AC sampling logic time sequence design, such as frequent tracing, phase compensation, voltage and current asynchronous sampling control, data storage and interrupt response with AHDL language. Those functions can be totally brought into effect in EPLD. At the end of this paper, the author brings up the design principle and related program.

scholarly journals Hardware-Based Hopfield Neuromorphic Computing for Fall Detection

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7226
Author(s):  
Zheqi Yu ◽  
Adnan Zahid ◽  
Shuja Ansari ◽  
Hasan Abbas ◽  
Amir M. Abdulghani ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Circuit Design ◽  
Hardware Design ◽  
Data Classification ◽  
Fall Detection ◽  
Hopfield Neural Network ◽  
Sensor Data ◽  
Complex Signal ◽  
The Neural Network

With the popularity of smart wearable systems, sensor signal processing poses more challenges to machine learning in embedded scenarios. For example, traditional machine-learning methods for data classification, especially in real time, are computationally intensive. The deployment of Artificial Intelligence algorithms on embedded hardware for fast data classification and accurate fall detection poses a huge challenge in achieving power-efficient embedded systems. Therefore, by exploiting the associative memory feature of Hopfield Neural Network, a hardware module has been designed to simulate the Neural Network algorithm which uses sensor data integration and data classification for recognizing the fall. By adopting the Hebbian learning method for training neural networks, weights of human activity features are obtained and implemented/embedded into the hardware design. Here, the neural network weight of fall activity is achieved through data preprocessing, and then the weight is mapped to the amplification factor setting in the hardware. The designs are checked with validation scenarios, and the experiment is completed with a Hopfield neural network in the analog module. Through simulations, the classification accuracy of the fall data reached 88.9% which compares well with some other results achieved by the software-based machine-learning algorithms, which verify the feasibility of our hardware design. The designed system performs the complex signal calculations of the hardware’s feedback signal, replacing the software-based method. A straightforward circuit design is used to meet the weight setting from the Hopfield neural network, which is maximizing the reusability and flexibility of the circuit design.

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