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.

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 Implementation of a real-time automatic onset time detection for surface electromyography measurement systems using NI myRIO

2016 ◽  
Vol 20 (suppl. 2) ◽  
pp. 591-602 ◽  
Author(s):  
Chaiwat Lersviriyanantakul ◽  
Apidet Booranawong ◽  
Kiattisak Sengchuai ◽  
Pornchai Phukpattaranont ◽  
Booncharoen Wongkittisuksa ◽  
...  
Keyword(s):  
Real Time ◽  
Surface Electromyography ◽  
Onset Time ◽  
Simple Algorithm ◽  
Algorithm Analysis ◽  
The Real ◽  
Measurement Systems ◽  
Smoothing Process ◽  
The Given ◽  
Semg Signals

For using surface electromyography (sEMG) in various applications, the process consists of three parts: an onset time detection for detecting the first point of movement signals, a feature extraction for extracting the signal attribution, and a feature classification for classifying the sEMG signals. The first and the most significant part that influences the accuracy of other parts is the onset time detection, particularly for automatic systems. In this paper, an automatic and simple algorithm for the real-time onset time detection is presented. There are two main processes in the proposed algorithm; a smoothing process for reducing the noise of the measured sEMG signals and an automatic threshold calculation process for determining the onset time. The results from the algorithm analysis demonstrate the performance of the proposed algorithm to detect the sEMG onset time in various smoothing-threshold equations. Our findings reveal that using a simple square integral (SSI) as the smoothing-threshold equation with the given sEMG signals gives the best performance for the onset time detection. Additionally, our proposed algorithm is also implemented on a real hardware platform, namely NI myRIO. Using the real-time simulated sEMG data, the experimental results guarantee that the proposed algorithm can properly detect the onset time in the real-time manner.

scholarly journals Dynamic Web Page Security using Fingerprint and Card System

2019 ◽  
Vol 8 (9S3) ◽  
pp. 954-956
Keyword(s):  
Real Time ◽  
Web Pages ◽  
Cyber Crime ◽  
Web Page ◽  
The Real ◽  
Finger Print ◽  
Security Issues ◽  
Dynamic Web ◽  
Card System ◽  
The Given

The Given dynamic web pages have many security issues, and it can be very difficult to handle.The goal of card and finger print system gives more security to dynamic web pages. In this paper, We clearly discuss and workout the real time example with the help of Internet. Specifically, by introducing this technology the cyber crime also be comes underthecontrol.Fingerprintverificationisanimportantbiometric techniqueforpersonalidentification.Inthispaper,wedescribethede signandimplementationofaprototypeautomaticidentityauthentic ationsystemwhichusesfingerprintstoauthenicatetheidentityofani ndividual.

scholarly journals Study on Application of Real-time Control Method for Controlling Position of Robots in the Given Time

2020 ◽  
Vol 3 (3) ◽  
pp. 461-471
Author(s):  
Tri Cong Phung
Keyword(s):  
Operating System ◽  
Real Time ◽  
Operating Systems ◽  
Control Method ◽  
Real Time Control ◽  
Real Time Operating System ◽  
The Real ◽  
Time Control ◽  
Robot Trajectory ◽  
The Given

Controlling accurately the position and velocity of robots in a given time is an important requirement in the industry. The open-source real-time operating systems not only have more advantages than the normal operating systems in both economy and flexibility but also meet the needs. This paper concentrates on building algorithms for controlling the robot trajectory in time using a modern real-time operating system called Linux-Xenomai. Firstly, the paper analyzes several advantages of the real-time operating system Linux-Xenomai comparing general operating systems and other real-time operating systems. Secondly, a real-time controller of a 5 degree-of-freedom (DOF) robot is built based on the real-time operating system Linux-Xenomai. After that, the paper proposes algorithms to test the ability of working in time of the robot. Finally, the real experiments are done to verify the proposed algorithms.

scholarly journals Real-Time Object Detection Model

2020 ◽  
Vol 6 (12) ◽  
pp. 360-364
Author(s):  
Akash Kumar, Dr. Amita Goel Prof. Vasudha Bahl and Prof. Nidhi Sengar
Keyword(s):  
Neural Network ◽  
Computer Vision ◽  
Object Detection ◽  
Real Time ◽  
Real World ◽  
The Real ◽  
Detection Model ◽  
Bounding Boxes ◽  
The Given ◽  
Single Neural Network

Object Detection is a study in the field of computer vision. An object detection model recognizes objects of the real world present either in a captured image or in real-time video where the object can belong to any class of objects namely humans, animals, objects, etc. This project is an implementation of an algorithm based on object detection called You Only Look Once (YOLO v3). The architecture of yolo model is extremely fast compared to all previous methods. Yolov3 model executes a single neural network to the given image and then divides the image into predetermined bounding boxes. These boxes are weighted by the predicted probabilities. After non max-suppression it gives the result of recognized objects together with bounding boxes. Yolo trains and directly executes object detection on full images.

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.

scholarly journals Analysing Vehicular Congestion Scenario in Kuala Lumpur Using Open Traffic

2018 ◽  
Vol 10 (3) ◽  
pp. 875 ◽  
Author(s):  
Muhammad Ali ◽  
Saargunawathy Manogaran ◽  
Kamaludin Mohamad Yusof ◽  
Muhammad Ramdhan Muhammad Suhaili
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Predictive Analysis ◽  
Kuala Lumpur ◽  
The Real ◽  
The Road ◽  
Real Time Traffic ◽  
The People ◽  
Real Time Information

<span>Traffic congestion on the roads is mainly the result of overcrowding and this phenomenon happens when a great number of vehicles storm the road, resulting in the disruption of the smooth traffic flow. This greatly affects the daily routines of the people. Not to mention the time that is wasted while a person feels stranded in such situation and it results in the loss of productivity, also deteriorates the societal behavior to a certain extent and have adverse effects on the economy. The natural calamities add to the miseries. It becomes very difficult to manage the traffic flow in situations when there are flash floods or other accidents. Therefore the trend of the traffic seems very unpredictable.    The real-time information and the past data are deemed as the significant inputs for the predictive analysis. Modern day researchers perform the predictive analysis using the simulations as it does not seems to have any accurate and exact predictive model, mainly because of the higher complexity and the perplexing situation the researchers face while performing the analysis. Open Traffic seems to be a viable option, as it is an open source and can be linked with the Open Street. This research targets to study and understand the Open Traffic platform. In this regard the real-time traffic flow pattern in Kuala Lumpur area was successfully been extracted and the analysis was performed using Open Traffic. It was observed and deduced from the results that Kuala Lumpur faces congestion on every major avenue, junction or intersection it mostly owes to the offices and the economic and commercial centers during the peak hours. Some avenues experience the congestion problem due to the tourism.</span>

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.

An Improved Self-Learning Scene Matching Algorithm

2012 ◽  
Vol 182-183 ◽  
pp. 1928-1932
Author(s):  
Xu Sheng Wu ◽  
Ming Tie ◽  
Ling Wang
Keyword(s):  
Real Time ◽  
Movement Patterns ◽  
Guidance System ◽  
Reference Image ◽  
Matching Algorithm ◽  
The Real ◽  
Scene Matching ◽  
The Given ◽  
Self Learning ◽  
Correlation Matching

Scene matching combined guidance is one of key effective approach to improve missile’s attacking precision. The paper introduces a scene matching combined guidance system. With the given reference image, the system can match the real-time images accurately through the improved self-learning mean removal normalized product correlation matching arithmetic. At last the paper presents the simulation result in the two typical movement patterns.

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