scholarly journals Research of multi-rotor UAV atmospheric environment monitoring system based on 4G network

2020 ◽  
Vol 165 ◽  
pp. 02029
Author(s):  
Xiaojun Liu ◽  
Hongyuan Wen ◽  
Ao Li ◽  
Di Xu ◽  
Zhengxuan Hou
Keyword(s):  
Monitoring System ◽  
Atmospheric Environment ◽  
Environment Monitoring ◽  
Monitoring Methods ◽  
Overall Design ◽  
Working Space ◽  
Atmospheric Data ◽  
New Ideas ◽  
University Town ◽  
The University

Aiming at the shortcomings of the traditional fixed atmospheric environment monitoring system, such as low flexibility, limited monitoring space, and the limitation of the distance of the unmanned aerial vehicle (UAV) atmospheric environment monitoring based on the data transmission module and the limited amount of data transmitted online, the multi-rotor UAV atmospheric environment monitoring system transmitted by 4G network is designed, transmits the atmospheric data collected by the airborne atmospheric detection sensors to the network cloud server through the 4G network, and realizes real-time monitoring and analysis of atmospheric data on the data monitoring platform, combined with the transparent cloud and cloud configuration technology. Firstly, the shortcomings of traditional ground monitoring stations and drone monitoring methods were analyzed, and the overall design of the system is given; then, the software and hardware design of the system were expounded in detail; finally, experiments were carried out in in the university town of Hailing area of Taizhou city. The research results can effectively expand the working space and methods of traditional atmospheric environment monitoring and provide new ideas and methods for the research of environmental monitoring UAV.

PI-COSMOS: An Open Source Python based High Speed Coastal Video Monitoring System

2020 ◽  
Author(s):  
Ramesh Madipally ◽  
Sheela Nair L ◽  
Rui Taborda
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
High Speed ◽  
Continuous Monitoring ◽  
Video Monitoring ◽  
Monitoring Methods ◽  
Coastal Monitoring ◽  
Speed Performance ◽  
The University ◽  
Coastal Research

<p>In recent years, Coastal video monitoring methods have been widely accepted tools for continuous monitoring of complex coastal processes. In this paper, the progress made on a new python based coastal video monitoring system, PI-COSMOS (Portuguese Indian COaStal MOnitoring System) which is being developed and tested jointly in India and Portuguese coasts is presented. PI-COSMOS system aims at providing open source, high speed video monitoring toolboxes for the coastal community that can be used anywhere in the world. PI-COSMOS is camera independent system and comprises four modules viz. PI-Calib for camera calibration, RectiPI for video imagery rectification, PI-ImageStacks for image product and pixel product generation and PI- DB for efficient database management. The applicability of PICOSMOS system under different coastal environment conditions has been tested using the data collected from the India as well as the Portugal coast. The results from one of the Indian stations installed at Kozhikode beach, Kerala, India situated at 11°15'14.12" N, 75° 46'15.40" E are presented here to demonstrate the capabilities of the newly developed PI-COSMOS system. the performance of PI-COSMOS is evaluated by conducting a comparative study among PICOSMOS and existing video monitoring toolboxes like UAV processing toolbox provided by Coastal Research Imaging Network and RectifyExtreme provided by the University of Lisbon and it is found that the processing speed of PI-COSMOS is very much high i.e. more than 5 times when compared to UAV processing toolbox and RectifyExtreme.  The high speed performance, camera independent nature and easiness in the operation made PI-COSMOS as the simplest and advanced open source video monitoring system.</p><p> </p>

scholarly journals System for Corrosion Inspection and Monitoring

2016 ◽  
Vol 4 (2) ◽  
pp. 82-87
Author(s):  
Ryan Alexander ◽  
Matthew Altamirano ◽  
Saruul Batdorj ◽  
Matthew Brooks ◽  
Pascal Brun ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Department Of Defense ◽  
Stakeholder Analysis ◽  
University Student ◽  
Inspection System ◽  
Monitoring Methods ◽  
Corrosion Detection ◽  
New Ideas ◽  
The University ◽  
Integrated Team

This paper contains has conducted research and analysis on different corrosion identification and monitoring methods to develop an autonomous corrosion inspection system to solve the challenge issued by the University Student Design and Applied Solutions Competition. This challenge is to build an autonomous corrosion detection and monitoring system to help provide new ideas and innovations to the Department of Defense. Using research and stakeholder analysis, this research produced a system to best meet the demands of the competition and determine the best possible solution to the design challenge. Our integrated team used a systems engineering approach to produce the design that will be fielded at the competition in April 2016.

scholarly journals Optimization and Simulation of Atmospheric Environment Monitoring System Based on Wireless Sensor

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhenqiang Feng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Smart City ◽  
Monitoring Data ◽  
Atmospheric Environment ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Virtual Force ◽  
Sensor Module

With the acceleration of urbanization, the problems in urban construction are becoming increasingly prominent, especially in air pollution. In order to deal with a series of problems brought by urbanization, the state has formulated the strategic layout of smart city construction. As an important measure and practice for the development of smart city, atmospheric environment monitoring is the premise of controlling atmospheric environment problems and plays a great role in environmental protection. The traditional automatic atmospheric environment monitoring station has complex structure, expensive price, and harsh working conditions, which is difficult to be popularized throughout the country. Aiming at the problems of poor expansibility and low intelligence of atmospheric environment monitoring system, an atmospheric environment monitoring system based on wireless sensor network is proposed. The system designs sensor module, networking module, gateway module, and monitoring interface, studies the accuracy of data collected by the system and the coverage of wireless sensor network, filters the environmental data collected by the sensor module, optimizes the layout of networking module by using improved virtual force algorithm, and finally tests the system. The experimental results show that the system realizes the remote monitoring of temperature, humidity, air pressure, and PM2.5 data, and the monitoring data is real and reliable. The improved virtual force algorithm improves the coverage of wireless sensor networks. Comparing the data collected by the system with the monitoring data of the cause control station, the average relative errors of PM2.5 and other particle parameters and NOx and other gas parameters monitored by the system are 3.81% and 3.48%, respectively; the system can be widely used in various environmental monitoring fields.

scholarly journals Design of Atmospheric Environmental Health Monitoring System Based on Spatial Bayesian Network

2021 ◽  
Vol 2066 (1) ◽  
pp. 012028
Author(s):  
Xia Lu ◽  
Jiangzhou Chu ◽  
Wei Zhu
Keyword(s):  
Anomaly Detection ◽  
Bayesian Network ◽  
Environmental Health ◽  
Monitoring System ◽  
Health Monitoring ◽  
Detection System ◽  
Atmospheric Environment ◽  
Environment Monitoring ◽  
Health Monitoring System ◽  
Detection Technology

Abstract With the rapid development of our country’s economy and industry, atmospheric environmental issues have gradually attracted more and more people’s attention. In recent years, the vigorous development of the Internet of Things technology has made it possible to “Internet of Everything”. At present, the common traditional atmospheric environment monitoring systems on the market generally have shortcomings such as single function, large system measurement error, inability to collect data for a long time, large system power consumption, and inability to view data after being far away from the device. As Bayesian network theory is more and more applied to the modeling of monitoring events, more and more learning optimization methods about Bayesian network have been proposed and become a research hotspot. The purpose of this paper is to study the design of atmospheric environmental health monitoring system based on spatial Bayesian network. This paper studies the intelligent anomaly detection technology based on Bayesian network, the purpose is to use the intelligent anomaly detection technology to predict unknown behaviors that affect the health of the atmospheric environment, improve the learning ability of the detection system, and strengthen the active defense capability of the atmospheric environmental health monitoring system; Secondly, this article proposes an improved spatial Bayesian network model based on the shortcomings of the spatial Bayesian network. Finally, in view of some of the shortcomings of the detection system, this paper proposes a system model that combines anomaly detection with other detection mechanisms, which can significantly improve the accuracy of detection and reduce the false alarm rate of the atmospheric environmental health monitoring system. This paper aims at the above shortcomings and at the same time integrates the current situation of the atmospheric environment monitoring system, analyzes the possible trends of the atmospheric environment monitoring system, and combines the advantages of the spatial Bayesian network to address temperature, humidity, carbon monoxide concentration, and suspended particle concentration. For the main atmospheric environment indicators, a multi-functional, low measurement error, low power consumption, and low-cost atmospheric environment monitoring system is designed. Experimental research results show that: in terms of concentration, nitric oxide and nitrogen dioxide are the highest, at 58% and 68%, respectively, and they are also the largest in the air, accounting for a total of 70%. All in all, the monitoring system needs to monitor even more types of gases listed above, so that the feedback of the atmospheric environment health status is more accurate.

Richard Mackenney, Venice as the Polity of Mercy: Guilds, Confraternities, and the Social Order, c. 1250–c. 1650. Toronto Italian Studies. Toronto, Buffalo, and London: University of Toronto Press, 2019, xiii, 471.

Mediaevistik ◽  
2020 ◽  
Vol 32 (1) ◽  
pp. 551-552
Author(s):  
Thomas Willard
Keyword(s):  
Social Order ◽  
Merchant Of Venice ◽  
Legal Scholar ◽  
University Of Toronto ◽  
Italian Studies ◽  
The Merchant Of Venice ◽  
The Social ◽  
University Town ◽  
The University

Shakespeare is well known to have set two of his plays in and around Venice: The Merchant of Venice (1596) and The Tragedy of Othello, the Moor of Venice (1603). The first is often remembered for its famous speech about “the quality of mercy,” delivered by the female lead Portia in the disguise of a legal scholar from the university town of Padua. The speech helps to spare the life of her new husband’s friend and financial backer against the claims of the Jewish moneylender Shylock. The play has raised questions for Shakespearean scholars about the choice of Venice as an open city where merchants of all nations and faiths would meet on the Rialto while the city’s Senate, composed of leading merchants, worked hard to keep it open to all and especially profitable for its merchants. Those who would like to learn more about the city’s development as a center of trade can learn much from Richard Mackenney’s new book.

The Oxford Group and the Emergence of Animal Rights

2020 ◽  
Author(s):  
Robert Garner ◽  
Yewande Okuleye
Keyword(s):  
Animal Rights ◽  
Intellectual Development ◽  
Peter Singer ◽  
Animal Rights Movement ◽  
Friendship Group ◽  
University Of Oxford ◽  
Short Period ◽  
New Ideas ◽  
Oxford Group ◽  
The University

This book is an account of the life and times of a loose friendship group (later christened the Oxford Group) of ten people, primarily postgraduate philosophy students, who attended the University of Oxford for a short period of time from the late 1960s. The Oxford Group, which included—most notably—Peter Singer and Richard Ryder, set about thinking about, talking about, and promoting the idea of animal rights and vegetarianism. The group therefore played a role, largely undocumented and unacknowledged, in the emergence of the animal rights movement and the discipline of animal ethics. Most notably, the group produced an edited collection of articles published as Animals, Men and Morals in 1971 that was instrumental in one of their number—Peter Singer—writing Animal Liberation in 1975, a book that has had an extraordinary influence in the intervening years. The book serves as a case study of how the emergence of important work and the development of new ideas can be explained, and, in particular, how far the intellectual development of individuals is influenced by their participation in a creative community.

Sign in / Sign up

Export Citation Format

Share Document