scholarly journals A Real-Time Structure of Attitude Algorithm for High Dynamic Bodies

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Xingcheng Li ◽  
Shuangbiao Zhang
Keyword(s):  
Real Time ◽  
Time Structure ◽  
Flow Diagram ◽  
The Real ◽  
Time Problem ◽  
Conventional Structure ◽  
High Dynamic ◽  
Two Stages ◽  
Better Than ◽  
Attitude Matrix

To solve the real-time problem of attitude algorithm for high dynamic bodies, a real-time structure of attitude algorithm is developed by analyzing the conventional structure that has two stages, and a flow diagram of a real-time structure for a Matlab program is provided in detail. During the update of the attitude matrix, the real-time structure saves every element of attitude matrix in minor loop in real time and updates the next attitude matrix based on the previous matrix every subsample time. Thus, the real-time structure avoids lowering updating frequency, though the multisubsample algorithms are used. Simulation and analysis show that the real-time structure of attitude algorithm is better than the conventional structure due to short update time of attitude matrix and small drifting error, and it is more appropriate for high dynamic bodies.

scholarly journals Pedestrian detection based on improved LeNet-5 convolutional neural network

2019 ◽  
Vol 13 ◽  
pp. 174830261987360 ◽  
Author(s):  
Chuan-Wei Zhang ◽  
Meng-Yue Yang ◽  
Hong-Jun Zeng ◽  
Jian-Ping Wen
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Real Time ◽  
Network Model ◽  
Pedestrian Detection ◽  
The Real ◽  
Better Than

In this article, according to the real-time and accuracy requirements of advanced vehicle-assisted driving in pedestrian detection, an improved LeNet-5 convolutional neural network is proposed. Firstly, the structure of LeNet-5 network model is analyzed, and the structure and parameters of the network are improved and optimized on the basis of this network to get a new LeNet network model, and then it is used to detect pedestrians. Finally, the miss rate of the improved LeNet convolutional neural network is found to be 25% by contrast and analysis. The experiment proves that this method is better than SA-Fast R-CNN and classical LeNet-5 CNN algorithm.

Electricity Compliance Assistivity

2020 ◽  
Vol 17 (8) ◽  
pp. 3506-3511
Author(s):  
J. Refonaa ◽  
D. Swetha ◽  
E. Supriya ◽  
Mohana Prasad ◽  
S. Dhamodaran ◽  
...  
Keyword(s):  
Real Time ◽  
Developing Country ◽  
The Real ◽  
Complaint Management ◽  
The People ◽  
Time Problem ◽  
The Given

In a developing country like India, there are nonethical ways that are following there is no guarantee that the work can be done or not within the given time. This project is based on maintenance and development of a municipal corporation. To raise the complaint to assist against electronic complaint management (ECMS) for Municipal Corporation from the above paragraph there is a smart solution that is designed where the various type of complaints given by the people are integrated based on the location of complaint. So based on the electricity complaints that have been raised from various people from same location are integrated and considered which solves the real time problem of electricity issues.

Research on Tactical Internet Real-Time Simulation for Training

2014 ◽  
Vol 687-691 ◽  
pp. 2196-2199
Author(s):  
Jian Jun Shen ◽  
Yu Qing Xu
Keyword(s):  
Real Time ◽  
Network Simulation ◽  
Packet Transmission ◽  
Good Effect ◽  
Transmission Method ◽  
Real Time Simulation ◽  
The Real ◽  
Time Simulation ◽  
Time Problem ◽  
Tactical Internet

Simulative training should include network simulation in information age, and network simulation needs to meet the real-time requirements. For the real-time implementation of Tactical Internet (TI) simulation, the paper proposed a "water-wave type" topology updating method for simulation, which solved the real-time problem of tactical radio network topology updating simulation. Secondly, the paper proposed a data packet transmission method based on characteristic information, which solved the large data problem of TI simulation, and then the real-time of simulation was improved. Finally, the paper proposed a transmission success-rate calculating method based on prediction, which solved the real-time simulation problem of transmission. The practical application proved that the paper’s methods had good effect.

Research of Hybrid Scheduling Based on Network Calculus in Coal Mine Ethernet

2012 ◽  
Vol 546-547 ◽  
pp. 1003-1007
Author(s):  
Xiao Feng Kang ◽  
Kun Hu
Keyword(s):  
Real Time ◽  
Network Calculus ◽  
Ring Networks ◽  
Time Data ◽  
The Real ◽  
Hybrid Scheduling ◽  
Periodic Data ◽  
Real Time Data ◽  
Scheduling Method ◽  
Better Than

According to the characteristics of data in coalmine industrial Ethernet ring networks and in order to guarantee the demand of the real-time data in it, a hybrid scheduling method with non-preemptive priority and EDF scheduling method based on the IEEE802.1p protocol is proposed in the switch. We calculate the maximum transmitting delay of the real-time data using network calculus theory. The result shows that EDF decreases transmission delay for non-periodic data better than FCFS by theoretical computation and simulation.

A Thermoelectric Modules Voltage Monitoring System Used in Automobile Exhaust Thermoelectric Generator

2012 ◽  
Vol 192 ◽  
pp. 217-221
Author(s):  
Rui Quan ◽  
Xin Feng Tang ◽  
Shu Hai Quan ◽  
Liang Huang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Thermoelectric Generator ◽  
Flow Diagram ◽  
Practical Application ◽  
Thermoelectric Modules ◽  
Automobile Exhaust ◽  
The Real ◽  
Group A ◽  
Automobile Exhaust Thermoelectric Generator

According to the requirement of independent voltage monitoring of thermoelectric modules used in Automobile Exhaust Thermoelectric Generator(AETEG) designed by our group, a kind of voltage monitoring system based on master-slave architecture that includes several slave detecting boards and a master detecting board was designed in this paper, the hardware schematic and software flow diagram were provided, the amplifier circuit that could detect negative voltage of thermoelectric modules was designed, and the PC based monitoring interface using VC++ language was developed as well. The practical application results validate that the system designed is sophisticated and steady, it meets the real time voltage monitoring demand of thermoelectric modules and provides convenience for their optimization of electric topology structure in future.

DUDMap: 3D RGB-D mapping for dense, unstructured, and dynamic environment

2021 ◽  
Vol 18 (3) ◽  
pp. 172988142110161
Author(s):  
Özgür Hastürk ◽  
Aydan M Erkmen
Keyword(s):  
Real Time ◽  
Dynamic Environment ◽  
Semantic Segmentation ◽  
Small Region ◽  
Dynamic Environments ◽  
Reconstruction Error ◽  
Localization And Mapping ◽  
Segmentation Methods ◽  
High Dynamic ◽  
Better Than

Simultaneous localization and mapping (SLAM) problem has been extensively studied by researchers in the field of robotics, however, conventional approaches in mapping assume a static environment. The static assumption is valid only in a small region, and it limits the application of visual SLAM in dynamic environments. The recently proposed state-of-the-art SLAM solutions for dynamic environments use different semantic segmentation methods such as mask R-CNN and SegNet; however, these frameworks are based on a sparse mapping framework (ORBSLAM). In addition, segmentation process increases the computational power, which makes these SLAM algorithms unsuitable for real-time mapping. Therefore, there is no effective dense RGB-D SLAM method for real-world unstructured and dynamic environments. In this study, we propose a novel real-time dense SLAM method for dynamic environments, where 3D reconstruction error is manipulated for identification of static and dynamic classes having generalized Gaussian distribution. Our proposed approach requires neither explicit object tracking nor object classifier, which makes it robust to any type of moving object and suitable for real-time mapping. Our method eliminates the repeated views and uses consistent data that enhance the performance of volumetric fusion. For completeness, we compare our proposed method using different types of high dynamic dataset, which are publicly available, to demonstrate the versatility and robustness of our approach. Experiments show that its tracking performance is better than other dense and dynamic SLAM approaches.

scholarly journals Real-Time Approach to Reduce Infections through Face Mask Detection

2021 ◽  
Vol 9 (VI) ◽  
pp. 5044-5048
Author(s):  
G. Sai Teja
Keyword(s):  
Real Time ◽  
Face Mask ◽  
Time Analysis ◽  
Process Data ◽  
Data Set ◽  
The Real ◽  
Race And Gender ◽  
Real Time Analysis ◽  
Time Problem ◽  
And Gender

There is one problem in India right now that is the actual suffering of people due to coronavirus infections growing rapidly throughout the whole States of the nation. Thus, all this pandemic one must implement a breakthrough solution that is thought upon with hard effort and attitude without any discrepancy of race and gender. One solution that our group has researched on the real time analysis of face mask using image processing. This method uses the field of deep learning and the field machine learning to successfully attain the mastery or identification or detection of something that has no mask worn. Are Idea utilizing Perfect Combination of the webcam, and also platform to process data which is the computer. Now coming to solve in the real-time problem, we ensure that the project is having a good amount of accuracy without any loss of awareness and ability to discern one data set to another.

Embedded Robot Vision System Based on DSP

2015 ◽  
Vol 734 ◽  
pp. 168-171
Author(s):  
Xing Ze Li ◽  
Ling Zhu ◽  
Yi Hua
Keyword(s):  
System Design ◽  
Real Time ◽  
Robot Control ◽  
Vision System ◽  
Industrial Robot ◽  
Robot Vision ◽  
Ccd Camera ◽  
Target Object ◽  
The Real ◽  
Time Problem

Aim at the real-time problem of industrial robot vision system, design a embedded robot vision system based on DSP microprocessor. This system can use CCD camera and the ultrasonic sensor to collect the target environment information. It also can use the processor DSP to process the images and recognize target. And then through the communication module, send results in the form of wireless to the upper computer, providing target object information for robot control layer. This system completes the software and hardware system design, image collection & processing and robot control, as well as meet the real-time requirements of machine vision system.

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