scholarly journals Investigation of the Spatial Distribution of Methane Sources in the Greater Toronto Area Using Mobile Gas Monitoring Systems

2020 ◽  
Vol 54 (24) ◽  
pp. 15671-15679
Author(s):  
Sebastien Ars ◽  
Felix Vogel ◽  
Colin Arrowsmith ◽  
Sajjan Heerah ◽  
Emily Knuckey ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Monitoring Systems ◽  
Gas Monitoring ◽  
Greater Toronto Area

scholarly journals A Triple-Correlation Framework for Demonstrating an Innovative Gas Warning System: A Case Study in China

2020 ◽  
Author(s):  
robert wu ◽  
Jianfeng Fan ◽  
Wanjun Yan ◽  
Bo Shen ◽  
Jeffrey Soar ◽  
...  
Keyword(s):  
Coal Mining ◽  
Unified Modeling Language ◽  
Mining Industry ◽  
Warning System ◽  
Acceptance Testing ◽  
Monitoring Systems ◽  
Time Data ◽  
Gas Monitoring ◽  
Triple Correlation ◽  
Production Safety

Abstract This research aims to develop an innovative gas warning system for improving production safety in the underground coal mining industry. Coal mining is an important sector for China’s economic development; gas monitoring systems are widely adopted as almost 60% of coal mining accidents are caused by gas. Existing gas monitoring systems mainly focus on simply detecting real-time data obtained from gas sensors. The literature review did not find gas monitoring systems that provide alarms or warnings from the correlation of gas with data from other sensors. This research aims to fill this gap to uncover hidden patterns and correlations between gas and temperature, wind, and dust, and incorporate data analytics into developing an innovative, integrated gas warning system. Correlational research was adopted using 328,320 data outputs obtained from ZhongXing Co. Ltd in Dec 2019. The study found strong relations between gas and temperature, wind, and dust. A Triple-Correlation Theoretical Framework and a Unified Modeling Language (UML) model were developed for an innovative gas warning system. As a result of this research, the ZhongXing Innovative Gas Warning System was developed and deployed for user acceptance testing on 28 Aug 2020.

scholarly journals Gas Monitoring System for Safer Industries using Internet of Things (IoT)

2019 ◽  
Vol 8 (3S2) ◽  
pp. 983-987
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Gas Sensors ◽  
Monitoring Systems ◽  
Gas Monitoring ◽  
Basic Technique ◽  
Sensitivity And Selectivity ◽  
Wireless Fidelity

In Industry upset, gas detecting innovation discovers its significance where gas sensors utilized for identifying the dangerous gases. This has been created and changed slowly to improve its sensitivity and selectivity. Convenient and exact checking of combustible and risky gases inside the mines can help averting mishaps. Different wired and remote correspondence with the sensor hubs like Zigbee. Convention have been built up in later part and executed with Internet of Things (IoT) yet with impediments. In this paper the MQ2 gas sensors exhibit utilizing basic technique is proposed for better sensing and alterability the Node MCU (ESP8266) is utilized as a Wireless Fidelity (WiFi) module. The proposed work could build selectivity and better proficiency the undertaking expects to coming about a superior danger the executives framework.We incorporated how node mcu and ardunio are used for the advanced gas monitoring systems.

scholarly journals Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution

2010 ◽  
Vol 68 (1) ◽  
pp. 245-252 ◽  
Author(s):  
Hans Gerritsen ◽  
Colm Lordan
Keyword(s):  
Spatial Distribution ◽  
High Resolution ◽  
Practical Method ◽  
Monitoring Systems ◽  
Catch Per Unit Effort ◽  
Fishing Activity ◽  
Distribution Maps ◽  
Catch Data ◽  
Fishing Vessels ◽  
Logbook Data

Abstract Gerritsen, H., and Lordan, C. 2011. Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution. – ICES Journal of Marine Science, 68: 245–252. Vessel monitoring systems (VMS) automatically collect positional data from fishing vessels, and the data can be linked to catch data from logbooks to provide a census of spatially resolved catch-and-effort data. The most appropriate and practical method for integrating Irish VMS and logbook data is explored and validated. A simple speed rule is applied to identify VMS records that correspond to fishing activity. The VMS data are then integrated with the catch data from logbooks using date and vessel identifier. Several assumptions were investigated, and the resulting distribution maps of catch and effort appear to be unbiased. The method is illustrated with an example of a time-series of spatially explicit estimates of catch per unit effort. The proposed method is relatively simple and does not require specialist software or computationally intensive methods. It will be possible to generalize this approach to similar datasets that are available within the EU and many other regions. Analysis of integrated VMS and logbook data will allow fisheries data to be analysed on a considerably finer spatial scale than was possible previously, opening up a range of potential applications.

Capturing Gas Fluxes on Your Phone: An iOS‐ and Android‐based Data‐Logging Setup for EGM‐4 Environmental Gas Monitoring Systems

2019 ◽  
Vol 48 (5) ◽  
pp. 1557-1560
Author(s):  
Henk Pieter Sterk ◽  
Iain Detrey ◽  
Chris Marshall ◽  
Neil R. Cowie ◽  
Richard Payne ◽  
...  
Keyword(s):  
Monitoring Systems ◽  
Data Logging ◽  
Gas Monitoring ◽  
Gas Fluxes

Improved sensitivity of tunable-diode-laser open-path trace gas monitoring systems

1979 ◽  
Vol 18 (20) ◽  
pp. 3438 ◽  
Author(s):  
R. S. Eng ◽  
A. W. Mantz ◽  
T. R. Todd
Keyword(s):  
Diode Laser ◽  
Tunable Diode Laser ◽  
Trace Gas ◽  
Monitoring Systems ◽  
Gas Monitoring ◽  
Open Path

Some aspects of the technology of lead salt diode lasers used in gas monitoring systems

1987 ◽  
Vol 22 (7) ◽  
pp. 981-986 ◽  
Author(s):  
J. W. Tomm ◽  
B. Sumpf ◽  
Karin Herrmann ◽  
A. Szczerbakow
Keyword(s):  
Diode Lasers ◽  
Lead Salt ◽  
Monitoring Systems ◽  
Gas Monitoring

Lithography below 100 nm

1983 ◽  
Vol 41 ◽  
pp. 96-99
Author(s):  
L. D. Jackel
Keyword(s):  
Spatial Distribution ◽  
Electron Beam ◽  
Electron Scattering ◽  
Electron Beam Lithography ◽  
Substrate Material ◽  
Local Electron ◽  
Electron Dose ◽  
Positive Resist ◽  
Exposure Process

Most production electron beam lithography systems can pattern minimum features a few tenths of a micron across. Linewidth in these systems is usually limited by the quality of the exposing beam and by electron scattering in the resist and substrate. By using a smaller spot along with exposure techniques that minimize scattering and its effects, laboratory e-beam lithography systems can now make features hundredths of a micron wide on standard substrate material. This talk will outline sane of these high- resolution e-beam lithography techniques.We first consider parameters of the exposure process that limit resolution in organic resists. For concreteness suppose that we have a “positive” resist in which exposing electrons break bonds in the resist molecules thus increasing the exposed resist's solubility in a developer. Ihe attainable resolution is obviously limited by the overall width of the exposing beam, but the spatial distribution of the beam intensity, the beam “profile” , also contributes to the resolution. Depending on the local electron dose, more or less resist bonds are broken resulting in slower or faster dissolution in the developer.

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