Ultrasonic Slurry Concentration Meter Design

2013 ◽  
Vol 385-386 ◽  
pp. 488-491
Author(s):  
Xiao Min Han ◽  
Jian Min Wang ◽  
Cong Cong Wang
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Data Transmission ◽  
Ultrasonic Attenuation ◽  
Serial Port ◽  
The Core ◽  
Power Amplification ◽  
Lcd Display ◽  
Rich Information ◽  
The Rich

This design is based on the theory of ultrasonic attenuation,design of pulp concentration is C8051F021 microcontroller as the core of the meter, And contains the ultrasonic transmitting circuit, receiving circuit, the power amplification circuit, detection shaping circuit, LCD display circuit, 485 communication circuit. In addition to the data processing by appropriate filtering software, shield the noise and clutter signal, the rich information of real-time display, and the measurement of data transmission in serial port to a PC through the analysis and comparison.

Traffic Congestion Reduction and Accident Circumvention System via Incorporation of CAV and VANET

2021 ◽  
Vol 12 (1) ◽  
pp. 53-72
Author(s):  
Mohsin Khan ◽  
Bhavna Arora
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Traffic Congestion ◽  
Ad Hoc Network ◽  
Discrete System ◽  
Ad Hoc ◽  
New Age ◽  
The Real ◽  
Automated Vehicle ◽  
The Core

Connected automated vehicle (CAV) technology is the core for the new age vehicles in research phase to communicate with one another and assimilation of vehicular ad-hoc network (VANET) for the transference of data between vehicles at a quantified place and time. This manuscript is an enactment of the algorithms associated to the maintenance of secure distance amongst vehicles, lane shifting, and overtaking, which will diminish the occurrence of collisions and congestions especially phantom jams. Those implementations are centered over CAV and VANET technology for the interconnection of the vehicles and the data transmission. The data is associated to the aspects of a vehicle such as speed, position, acceleration, and acknowledgements, which acts as the fundamentals for the computation of variables. In accordance with the environment of a particular vehicle (i.e., its surrounding vehicles), real-time decisions are taken based on the real-time computation of the variables in a discrete system.

scholarly journals Remote Video Surveillance System Based on Direct Show and Image Compression

2013 ◽  
Vol 756-759 ◽  
pp. 439-442
Author(s):  
Shang Fu Gong ◽  
Li Gang Wu ◽  
Yan Jun Wang
Keyword(s):  
Image Compression ◽  
Real Time ◽  
Video Surveillance ◽  
Data Transmission ◽  
Video Transmission ◽  
Massive Data ◽  
Time Requirements ◽  
Rich Information ◽  
Precautionary Measures ◽  
Application Requirements

Video surveillance, convenience and rich information, has been widely used in security, protection, monitoring and other occasions, and has already been one of the most important precautionary measures in commercial, residential and transportation areas. However, considering the massive data transmission needs and higher real-time requirements for video surveillance, a remote video surveillance plan has been put forward on the analysis basis of Microsoft DirectShow and Image Compression. This plan adopts the C/S structure, adapts to the requirements of real-time video transmission, with a better fluency. In addition, the picture clarity satisfies the application requirements.

scholarly journals HIPSTER

2019 ◽  
Vol 214 ◽  
pp. 06027
Author(s):  
Adrian Bevan ◽  
Thomas Charman ◽  
Jonathan Hays
Keyword(s):  
Neural Networks ◽  
High Energy Physics ◽  
High Energy ◽  
Event Recognition ◽  
The Core ◽  
Rich Information ◽  
The Rich ◽  
Core Functionality ◽  
Python Package ◽  
Energy Physics

HIPSTER (Heavily Ionising Particle Standard Toolkit for Event Recognition) is an open source Python package designed to facilitate the use of TensorFlow in a high energy physics analysis context. The core functionality of the software is presented, with images from the MoEDAL experiment Nuclear Track Detectors (NTDs) serving as an example dataset. Convolutional neural networks are selected as the classification algorithm for this dataset and the process of training a variety of models with different hyper-parameters is detailed. Next the results are shown for the MoEDAL problem demonstrating the rich information output by HIPSTER that enables the user to probe the performance of their model in detail.

Design of the Remote Control System Based on AT89S52+GPRS

2014 ◽  
Vol 926-930 ◽  
pp. 1301-1305
Author(s):  
Cun Zhi Yao ◽  
Fu Xing Liu
Keyword(s):  
Control System ◽  
Remote Control ◽  
Real Time ◽  
Data Transmission ◽  
High Rate ◽  
Rate Data ◽  
The Core ◽  
Remote Control System ◽  
Broad Scope

A GPRS remote control system is designed here,this system,taking AT89S52 MCU as the core and including the keyboard and LCD circuits, has the function of sending and receiving the messages;and it supports TCP/IP protocol and X2.5, which can realize real-time online high rate data transmission and the broad scope of access;its suitable for a variety of remote control domain. Keywords:MCU;GPRS;remote;control system

scholarly journals Investigation and design of monitoring systems in real time landslides at Xekaman 3 hydropower plant

2020 ◽  
Vol 61 (1) ◽  
pp. 11-20
Author(s):  
Pham Cong Khai ◽  
Nguyen Van Hai ◽  
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Monitoring System ◽  
Data Transmission ◽  
Simulation Experiment ◽  
Democratic Republic ◽  
Hydropower Plant ◽  
Monitoring Systems ◽  
Data Processing Center ◽  
Monitoring Stations

This paper presents results of investigating, designing, and building a monitoring system in real-time based on GNSS CORS technology in order to monitor landslides at Xekaman 3 hydropower plant in the Lao people’s Democratic Republic. A system with 18 monitoring stations and a CORS station has been designed to ensure the operation of system 24/7. The connection diagram for data transmission from the monitoring stations to the data processing center, as well as the connection diagram of the devices at a monitoring station has been designed. A simulation experiment has shown that the designed system can be applied for real-time monitoring of landslide.

scholarly journals Real-Time Collection Method of Athletes’ Abnormal Training Data Based on Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yue Wang
Keyword(s):  
Machine Learning ◽  
Data Processing ◽  
Real Time ◽  
Data Transmission ◽  
Base Station ◽  
Lower Limbs ◽  
Training Data ◽  
Training Effect ◽  
Collection Method ◽  
Feature Vectors

Real-time collection of athletes’ abnormal training data can improve the training effect of athletes. This paper studies the real-time collection method of athletes’ abnormal training data based on machine learning. The main motivation of this paper is to collect the athletes’ abnormal training data in time, which can help to evaluate and improve the training effect. Four sensor nodes are arranged in the upper and lower limbs of athletes to collect the angular velocity, acceleration, and magnetic field strength data of athletes in training state. The data are sent to the data transmission base station through wireless sensors, and the data transmission base station transmits the data to the data processing terminal. The data processing terminal calculates the difference between the sample values of each sensor to obtain the data dispersion of each sensor. The features of each dimension data in a time domain and frequency domain are obtained by using the dispersion degree to construct 32-dimensional feature vectors, and the extracted feature vectors are input into the hidden Markov model. The forward algorithm is used to obtain the probability of the final observation sequence, so as to realize the final collection of athletes’ abnormal training data. The experimental results show that the accuracy and recall rate of the abnormal data collected by this method is higher than 98%, which requires less time.

Design of Intelligent Concentrator Basing on M-Bus and Embedded Linux

2013 ◽  
Vol 446-447 ◽  
pp. 896-900
Author(s):  
Shi Qing Qi ◽  
Ming Yang Wen ◽  
Zhao Xia Wu
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Communication Protocol ◽  
Embedded Linux ◽  
Functional Design ◽  
Heat Meter ◽  
Application Program ◽  
The Core ◽  
Reading System ◽  
Heat Meters

. Design an intelligent concentrator of heat meter reading system for residence and illustrate the principle of M-BUS communication. Develop the communication protocol of M-BUS between heat meter and intelligent concentrator. ARM9 processor is adopted to be the core of the hardware construction, the software of the concentrator adopted embedded Linux, modular hardware drivers and functional design are placed in this device. Develop the data receive circuit and data send circuit of M-BUS of concentrator and application program. M-BUS communication protocol is used to implement the data transmission between the concentrator and the heat meters. This device has the features of security data transmission, convenient reading and strong real-time.

Jumping, Climbing and Suspensory Locomotion

2018 ◽  
Keyword(s):  
Energy Storage ◽  
Elastic Energy ◽  
The Core ◽  
Power Amplification ◽  
Core Concepts

Jumping, climbing and suspensory locomotion are specialized locomotor mechanisms used on land and in the air. Jumping is used for rapid launches from substrates. Climbing and suspensory movements enable locomotion up, under and through vertically-structured habitats, such as forests. Elastic energy storage is particularly important for jumping and catapult systems and we address the core concepts of power amplification that are exemplified in nature’s extreme jumpers. We examine the diverse mechanisms of attachment that characterize animals that can grasp and adhere to a diversity of structures. We conclude the chapter by examining the integration of biological capabilities with engineering innovations in these systems.

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