Smart Gas Outflow Detection and Safety Circumstance System Using Cloud Technology

Author(s):  
Srikanth Kottalanka ◽  
D. Arivazhagan

<p>The project aim is to design and develop a cloud connected smart LPG gas cylinder platform, acting as a safety device for detecting LPG gas drip at minimum levels to avoid any credible incidents. It is also capable of detect fire exists in the area and level of the gas in order to provide real time monitoring and alert over Cloud server. If an aberrant condition is detected, the device gives an alert to the smartphone app of the user and also sends an alert e-mail to other authorities. In addition to this upon detecting a gas leakage or a fire breakout, the device automatically takes safety precautionary measures, like gas valve closing, ventilation opening, fire sprinkler activation and home electrical power supply cut-off. The device connects to the internet via Wi-Fi and thus increasing the mobility of the platform within the premises of the house. A Wi-Fi capable ARM Cortex-M4 Launchpad is used to execute the system. This device proposes a complete, low-cost, powerful and accessible way of real-time tracking and distant control of gas leakages and preventive mechanisms in household and industrial areas.</p>

Author(s):  
Husam Kareem

<p>A major issue that happens in kitchens of houses and/or restaurants is the leakage of gas used as a fuel for cooker stove, which is commonly referred to as LPG (liquefied petroleum gas). LPG leakage may lead to a serious fire or even a deadly explosion that might affect the surrounding people. A substantial solution to avoid such disasters is by stopping its main cause. Therefore designing a device capable of monitoring and detecting such gases can minimize the dangerous and unwanted incidents by LPG leakage. This paper introduces a low cost and energy efficient real-time monitoring system that able to sense different dangerous gases, specifically those used for stove cooker. This system considers the pros of the previously introduced systems and fixes the cons available in those systems. In addition, the manufacturing cost has been taken into consideration. If the system senses any type of LPG gas (there is a gas leakage), it will react by making three different actions. It will make an alert sound to notify the people around the leakage place, send an SMS to two cell phones, and show, on an LCD screen, the leakage location.</p>


2018 ◽  
Author(s):  
Alessio Paolo Buccino ◽  
Mikkel Elle Lepperød ◽  
Svenn-Arne Dragly ◽  
Philipp Häfliger ◽  
Marianne Fyhn ◽  
...  

AbstractObjectiveA major goal in systems neuroscience is to determine the causal relationship between neural activity and behavior. To this end, methods that combine monitoring neural activity, behavioral tracking, and targeted manipulation of neurons in closed-loop are powerful tools. However, commercial systems that allow these types of experiments are usually expensive and rely on non-standardized data formats and proprietary software which may hinder user-modifications for specific needs. In order to promote reproducibility and data-sharing in science, transparent software and standardized data formats are an advantage. Here, we present an open source, low-cost, adaptable, and easy to set-up system for combined behavioral tracking, electrophysiology and closed-loop stimulation.ApproachBased on the Open Ephys system (www.open-ephys.org) we developed multiple modules to include real-time tracking and behavior-based closed-loop stimulation. We describe the equipment and provide a step-by-step guide to set up the system. Combining the open source software Bonsai (bonsai-rx.org) for analyzing camera images in real time with the newly developed modules in Open Ephys, we acquire position information, visualize tracking, and perform tracking-based closed-loop stimulation experiments. To analyze the acquired data we provide an open source file reading package in Python.Main resultsThe system robustly visualizes real-time tracking and reliably recovers tracking information recorded from a range of sampling frequencies (30-1000Hz). We combined electrophysiology with the newly-developed tracking modules in Open Ephys to record place cell and grid cell activity in the hippocampus and in the medial entorhinal cortex, respectively. Moreover, we present a case in which we used the system for closed-loop optogenetic stimulation of entorhinal grid cells.SignificanceExpanding the Open Ephys system to include animal tracking and behavior-based closed-loop stimulation extends the availability of high-quality, low-cost experimental setup within standardized data formats serving the neuroscience community.


Irriga ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 11-20
Author(s):  
Luiz Eduardo Vieira de Arruda ◽  
VLADIMIR BATISTA FIGUEIRÊDO ◽  
SÉRGIO LUIZ AGUILAR LEVIEN ◽  
JOSÉ FRANCISMAR DE MEDEIROS

DESENVOLVIMENTO DE UM TENSIÔMETRO DIGITAL COM SISTEMA DE AQUISIÇÃO E ARMAZENAMENTO DE DADOS LUIZ EDUARDO VIEIRA DE ARRUDA1; VLADIMIR BATISTA FIGUEIRÊDO2; SÉRGIO LUIZ AGUILAR LEVIEN3 E JOSÉ FRANCISMAR DE MEDEIROS4 1Mestre, Doutorando do Programa de Pós Graduação em Manejo de Solo e Água (PPGMSA), bolsista da CAPES; Universidade Federal Rural do Semi-Árido (UFERSA); Av. Francisco Mota, 572; Bairro Costa e Silva; 59.625-900, Mossoró/RN; e-mail: [email protected] de Ciências Ambientais e Tecnológicas (DCAT), UFERSA, Av. Francisco Mota, 572; Bairro Costa e Silva; 59.625-900, Mossoró, RN; e-mail: [email protected]; [email protected]; [email protected]  1 RESUMO Para um bom manejo da água na agricultura faz-se necessário a utilização de instrumentos que auxiliem o agricultor na tomada de decisão, indicando quanto e quando se deve aplicar água às culturas. Em face do exposto, notou-se a necessidade do desenvolvimento de um tensiômetro com sistema de aquisição e armazenamento de dados de forma contínua a baixo custo. O modelo proposto é composto por: cápsula porosa (25 x 11 mm), hastes de acrílico transparente com diâmetros de 12 e 15 mm, tampa de borracha siliconada, mangueira plástica transparente, mangueira de borracha e transdutores de tensão modelo Motorola® MPX 5100AP. Para a construção do sistema de aquisição dos dados foi utilizado uma placa Arduino® modelo MEGA 2560, três capacitores, placa fenolítica, bornes, jumpers, cabo quatro vias, RTC (Real Time Clock) modelo DS1307, display de cristal líquido (16 x 2), módulo de cartão de memória SD card, fonte de computador bivolt para alimentação de todo sistema com tensão de 12 Vcc e caixa plástica para acondicionamento dos circuitos. Como resultado da calibração do transdutor de tensão obteve-se uma equação com R2 igual a 0,9996, apresentando ótimo ajuste de acordo com o valor obtido. Palavras-chave: Arduino, transdutor de tensão, tensão de água no solo  ARRUDA, L. E. V.; FIGUEIRÊDO, V. B.; LEVIEN, S. L. A.; MEDEIROS, J. F.DEVELOPMENT OF A DIGITAL SOIL TENSIOMETER WITH A SYSTEM FOR INPUTTING AND STORING DATA  2 ABSTRACT In order to have a good water management in agricultural processes, it is necessary to use instruments that will assist the farmer in the decision-making processes, indicating how much and when to apply water to the crops. Considering the aforementioned, it was noted the demand of development of a tensiometer in conjunction with a data storage and input system, inputting and storing data continuously and at low cost. The proposed model consists of a porous capsule (25 x 11 mm), clear acrylic tube with diameters of 12 and 15 mm, a silicone rubber cap, a clear plastic hose, a rubber hose and voltage transducers Motorola® MPX5100AP model. In order to create the data system used an Arduino® platform model MEGA 2560, three capacitors, a phenolic sheet, terminals, jumpers, a four-way cable, a Real Time Clock (RTC) model DS1307, a liquid crystal display (16 x 2), a Micro SD memory card module, a dual voltage computer to supply power to the whole system using 12 Vcc voltage and plastic housing to store the circuit. The voltage transducer calibration resulted in an equation meaning that R2 is equal to 0.9996, thus presenting an optimal adjustment according to the obtained value. Keywords: Arduino, voltage transducer, soil water tension


Author(s):  
Emmanuel A. Castillo ◽  
Ali Ahmadinia

Distributed cameras have been used widely for real-time image recognition. There are two main approaches in distributed camera systems: (1) The cameras are equipped with a powerful high-end processor for local image processing, (2) Low-cost cameras with resource-constrained processors are used for capturing the images and transferring them to a cloud server for classification purposes. The first approach is costly and not scalable. The second approach is too slow for real-time object detection due to the transfer delays to a remote server. These problems exacerbate in multi-view image recognition, where a central platform is required for collective image processing of multiple images from the same scene. For this purpose, typically, a cloud server is used, which does not meet real-time recognition, network bandwidth, scalability and power consumption constraints of such systems. This paper proposes hierarchical neural network structures that can be realized in an edge orchestration architecture at different levels, i.e., cameras, edge devices, and cloud servers to enable deep learning capabilities for real-time multi-view image recognition. This would enable us to detect objects in the proximity of multiple cameras and transfer data for deeper layer processing to the cloud server and training of all connected edge devices and cameras.


2014 ◽  
Vol 12 (3) ◽  
pp. 389-407 ◽  
Author(s):  
Wael M. El-Medany ◽  
Alauddin Al-Omary ◽  
Riyadh Al-Hakim ◽  
Mustafa Nusaif

Purpose – The purpose of this paper is to present a development to the hardware and software of a real-time tracking system that provides the position of the tracked vehicle accurately using fairly low-cost equipment and services. Vehicle tracking industries are expanding as businesses are interested to know their fleet vehicles positions minute by minute every day. Many systems were proposed recently that can provide such information. Design/methodology/approach – The system is implemented using GM862 cellular quad band module. A monitoring server and a graphical user interface on a Web site have also been implemented to view the current location of a vehicle on a specific map. Findings – The experiments were conducted and tested in different areas of the Kingdom Of Bahrain using Google maps, and results are discussed. Originality/value – The developed system has been compared to the available and imported tracking systems to some of the telematics companies in Bahrain, and the comparison has been discussed.


2021 ◽  
Vol 25 (Special) ◽  
pp. 1-181-1-188
Author(s):  
Hadeel H. Azeez ◽  
◽  
Mahmood Z. Abdullah ◽  

Urban planning for smart cities requires collecting big real-time data, specially geolocation data from GPS sensors to use in many services like finding the best location for new schools so this data must be stored in a secure place with low cost and because the storage services offered from different cloud providers like Google, Amazon Web Service, Azure, etc., is not free. For these reasons, this study proposed Internet of Things (IoT) cloud architecture using Raspberry Pi model B+ as a cloud server with MySQL database services to provide free and secure storage at a low cost. The main contributions of this study lie in the Constrained Application Protocol (CoAP) server hosted in raspberry Pi to offer services in the proposed architecture of the IoT cloud with different scenarios to know the proposed architecture's ability for handling many user requests per second in terms of standard division, average elapsed time, error rate, throughput, and a number of real stored data in the database. AS a result, the proposed architecture handled 150 requests per second in real-time with an elapsed time of 1186 milliseconds without any error or data loss.


2015 ◽  
Vol 44 (4) ◽  
pp. 305-323 ◽  
Author(s):  
Laurel S. Pardue ◽  
Christopher Harte ◽  
Andrew P. McPherson

Author(s):  
P.Venu Gopala Rao ◽  
Eslavath Raja ◽  
Ramakrishna Gandi ◽  
G. Ravi Kumar

IoT (Internet of Things) has become most significant area of research to design an efficient data enabled services with the help of sensors. In this paper, a low-cost system design for e-healthcare service to process the sensitive health data is presented. Vital signs of the human body are measured from the patient location and shared with a registered medical professional for consultation. Temperature and heart rate are the major signals obtained from a patient for the initial build of the system. Data is sent to a cloud server where processing and analysis is provided for the medical professional to analyze. Secure transmission and dissemination of data through the cloud server is provided with an authentication system and the patient could be able to track his data through a smart phone on connecting to the cloud server. A prototype of the system along with its design parameters has been discussed.


Author(s):  
Gabriel de Almeida Souza ◽  
Larissa Barbosa ◽  
Glênio Ramalho ◽  
Alexandre Zuquete Guarato

2006 ◽  
Author(s):  
Tian He ◽  
Lin Gu ◽  
Liqian Luo ◽  
Ting Yan ◽  
John A. Stankovic ◽  
...  

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