In the wake of the sudden replacement of wood and kerosene by gas cookers for several purposes in Nigeria, gas leakage has caused several damages in our homes, Laboratories among others. installation of a gas leakage detection device was globally inspired to eliminate accidents related to gas leakage. We present an alternative approach to developing a device that can automatically detect and control gas leakages and also monitor temperature. The system detects the leakage of the LPG (Liquefied Petroleum Gas) using a gas sensor, then triggred the control system response which employs ventilator system, Mobile phone alert and alarm when the LPG concentration in the air exceeds a certain level. The performance of two gas sensors (MQ5 and MQ6) were tested for a guided decision. Also, when the temperature of the environment poses a danger, LED (indicator), buzzer and LCD (16x2) display was used to indicate temperature and gas leakage status in degree Celsius and PPM respectively. Attension was given to the response time of the control system, which was ascertained that this system significantly increases the chances and efficiency of eliminating gas leakage related accident.
In this presentation, Jithin presents an innovative idea that will solve the problem of booking LPG cylinders in time. Jithin's proposed system can be integrated with the online system that is currently available.
In this presentation, Jithin presents an innovative idea that will solve the problem of booking LPG cylinders in time. Jithin's proposed system can be integrated with the online system that is currently available.
The project was an embedded system project, where an alarm will go on whenever an inbuilt sensor sense any gas around it. Project describes the software simulation and also the working circuit which was used to implement the circuit on a board by incorporating all the required elements.
Gas Leakage Detection Based on IOT
Cloud Technologies providing Complete Solution for all
Academic Projects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Email ID: cloudtechnologiesprojects@gmail.com
Gas leak detection is the process of identifying potentially hazardous gas leaks by means of various sensors.
These sensors usually employ an audible alarm to alert people when a dangerous gas has been detected.
The total circuit units are arranged on PCB board.
To study the working principle of gas and smoke detector system
To design and construct of the gas and smoke detector system and control system using Arduino with Bluetooth module
To implement gas and smoke design in the project
At the very first time of smoke creation so that avoided the unwanted accident
The project was an embedded system project, where an alarm will go on whenever an inbuilt sensor sense any gas around it. Project describes the software simulation and also the working circuit which was used to implement the circuit on a board by incorporating all the required elements.
Gas Leakage Detection Based on IOT
Cloud Technologies providing Complete Solution for all
Academic Projects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Email ID: cloudtechnologiesprojects@gmail.com
Gas leak detection is the process of identifying potentially hazardous gas leaks by means of various sensors.
These sensors usually employ an audible alarm to alert people when a dangerous gas has been detected.
The total circuit units are arranged on PCB board.
To study the working principle of gas and smoke detector system
To design and construct of the gas and smoke detector system and control system using Arduino with Bluetooth module
To implement gas and smoke design in the project
At the very first time of smoke creation so that avoided the unwanted accident
Development of a Wireless Sensors Network for Greenhouse Monitoring and Controlijeei-iaes
Wireless sensor networks (WSN) could be used to monitor and control many parameters of environment such as temperature, humidity, and radiation leakage. In greenhouse the weather and soil should be independent of the natural agents. To achieve this condition a wireless sensor nodes could be deployed and communicate with a central base station to measure and transmit the sensed required environment factors. In this paper a WSN was implemented by deployed wireless sensor nodes in a greenhouse with temperature, humidity, moisture light, and CO2 sensors. The proposed model was built and tested, and the result shows an excellent improvement in the sensed parameters. To control the environmental factors, the used microcontroller programmed to control the parameters according to preset values, or manually through a user interface panel.
In our homes or offices, security has been a vital issue. Control of home security system remotely always offers huge advantages like the arming or disarming of the alarms, video monitoring, and energy management control apart from safeguarding the home free up intruders. Considering the oldest simple methods of security that is the mechanical lock system that has a key as the authentication element, then an upgrade to a universal type, and now unique codes for the lock. The recent advancement in the communication system has brought the tremendous application of communication gadgets into our various areas of life. This work is a real-time smart doorbell notification system for home Security as opposes of the traditional security methods, it is composed of the doorbell interfaced with GSM Module, a GSM module would be triggered to send an SMS to the house owner by pressing the doorbell, the owner will respond to the guest by pressing a button to open the door, otherwise, a message would be displayed to the guest for appropriate action. Then, the keypad is provided for an authorized person for the provision of password for door unlocking, if multiple wrong password attempts were made to unlock, a message of burglary attempt would be sent to the house owner for prompt action. The main benefit of this system is the uniqueness of the incorporation of the password and messaging systems which denies access to any unauthorized personality and owner's awareness method.
Augmented reality, the new age technology, has widespread applications in every field imaginable. This technology has proven to be an inflection point in numerous verticals, improving lives and improving performance. In this paper, we explore the various possible applications of Augmented Reality (AR) in the field of Medicine. The objective of using AR in medicine or generally in any field is the fact that, AR helps in motivating the user, making sessions interactive and assist in faster learning. In this paper, we discuss about the applicability of AR in the field of medical diagnosis. Augmented reality technology reinforces remote collaboration, allowing doctors to diagnose patients from a different locality. Additionally, we believe that a much more pronounced effect can be achieved by bringing together the cutting edge technology of AR and the lifesaving field of Medical sciences. AR is a mechanism that could be applied in the learning process too. Similarly, virtual reality could be used in the field where more of practical experience is needed such as driving, sports, neonatal care training.
Image fusion is a sub field of image processing in which more than one images are fused to create an image where all the objects are in focus. The process of image fusion is performed for multi-sensor and multi-focus images of the same scene. Multi-sensor images of the same scene are captured by different sensors whereas multi-focus images are captured by the same sensor. In multi-focus images, the objects in the scene which are closer to the camera are in focus and the farther objects get blurred. Contrary to it, when the farther objects are focused then closer objects get blurred in the image. To achieve an image where all the objects are in focus, the process of images fusion is performed either in spatial domain or in transformed domain. In recent times, the applications of image processing have grown immensely. Usually due to limited depth of field of optical lenses especially with greater focal length, it becomes impossible to obtain an image where all the objects are in focus. Thus, it plays an important role to perform other tasks of image processing such as image segmentation, edge detection, stereo matching and image enhancement. Hence, a novel feature-level multi-focus image fusion technique has been proposed which fuses multi-focus images. Thus, the results of extensive experimentation performed to highlight the efficiency and utility of the proposed technique is presented. The proposed work further explores comparison between fuzzy based image fusion and neuro fuzzy fusion technique along with quality evaluation indices.
Graphs have become the dominant life-form of many tasks as they advance a
structure to represent many tasks and the corresponding relations. A powerful
role of networks/graphs is to bridge local feats that exist in vertices as they
blossom into patterns that help explain how nodal relations and their edges
impacts a complex effect that ripple via a graph. User cluster are formed as a
result of interactions between entities. Many users can hardly categorize their
contact into groups today such as “family”, “friends”, “colleagues” etc. Thus,
the need to analyze such user social graph via implicit clusters, enables the
dynamism in contact management. Study seeks to implement this dynamism
via a comparative study of deep neural network and friend suggest algorithm.
We analyze a user’s implicit social graph and seek to automatically create
custom contact groups using metrics that classify such contacts based on a
user’s affinity to contacts. Experimental results demonstrate the importance
of both the implicit group relationships and the interaction-based affinity in
suggesting friends.
This paper projects Gryllidae Optimization Algorithm (GOA) has been applied to solve optimal reactive power problem. Proposed GOA approach is based on the chirping characteristics of Gryllidae. In common, male Gryllidae chirp, on the other hand some female Gryllidae also do as well. Male Gryllidae draw the females by this sound which they produce. Moreover, they caution the other Gryllidae against dangers with this sound. The hearing organs of the Gryllidae are housed in an expansion of their forelegs. Through this, they bias to the produced fluttering sounds. Proposed Gryllidae Optimization Algorithm (GOA) has been tested in standard IEEE 14, 30 bus test systems and simulation results show that the projected algorithms reduced the real power loss considerably.
Feature selection problem is one of the main important problems in the text and data mining domain. This paper presents a comparative study of feature selection methods for Arabic text classification. Five of the feature selection methods were selected: ICHI square, CHI square, Information Gain, Mutual Information and Wrapper. It was tested with five classification algorithms: Bayes Net, Naive Bayes, Random Forest, Decision Tree and Artificial Neural Networks. In addition, Data Collection was used in Arabic consisting of 9055 documents, which were compared by four criteria: Precision, Recall, F-measure and Time to build model. The results showed that the improved ICHI feature selection got almost all the best results in comparison with other methods.
In this paper Gentoo Penguin Algorithm (GPA) is proposed to solve optimal reactive power problem. Gentoo Penguins preliminary population possesses heat radiation and magnetizes each other by absorption coefficient. Gentoo Penguins will move towards further penguins which possesses low cost (elevated heat concentration) of absorption. Cost is defined by the heat concentration, distance. Gentoo Penguins penguin attraction value is calculated by the amount of heat prevailed between two Gentoo penguins. Gentoo Penguins heat radiation is measured as linear. Less heat is received in longer distance, in little distance, huge heat is received. Gentoo Penguin Algorithm has been tested in standard IEEE 57 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.
08 20272 academic insight on applicationIAESIJEECS
This research has thrown up many questions in need of further investigation.There was an expressive quantitative-qualitative research, which a common investigation form was used in.The dialogue item was also applied to discover if the contributors asserted the media-based attitude supplements their learning of academic English writing classes or not.Data recounted academic” insights toward using Skype as a sustaining implement for lessons releasing based on chosen variables: their occupation, year of education, and knowledge with Skype discovered that there were no important statistical differences in the use of Skype units because of medical academics major knowledge. There are statistically important differences in using Skype units. The findings also, disclosed that there are statistically significant differences in using Skype units due to the practice with Skype variable, in favors of academics with no Skype use practice. Skype instrument as an instructive media is a positive medium to be employed to supply academic medical writing data and assist education. Academics who do not have enough time to contribute in classes believe comfortable using the Skype-based attitude in scientific writing. They who took part in the course claimed that their approval of this media is due to learning academic innovative medical writing.
Cloud computing has sweeping impact on the human productivity. Today it’s used for Computing, Storage, Predictions and Intelligent Decision Making, among others. Intelligent Decision-Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate. Security remains one of the major concerns which affect the cloud computing growth however there exist various research challenges in cloud computing adoption such as lack of well managed service level agreement (SLA), frequent disconnections, resource scarcity, interoperability, privacy, and reliability. Tremendous amount of work still needs to be done to explore the security challenges arising due to widespread usage of cloud deployment using Containers. We also discuss Impact of Cloud Computing and Cloud Standards. Hence in this research paper, a detailed survey of cloud computing, concepts, architectural principles, key services, and implementation, design and deployment challenges of cloud computing are discussed in detail and important future research directions in the era of Machine Learning and Data Science have been identified.
Notary is an official authorized to make an authentic deed regarding all deeds, agreements and stipulations required by a general rule. Activities carried out at the notary office such as recording client data and file data still use traditional systems that tend to be manual. The problem that occurs is the inefficiency in data processing and providing information to clients. Clients have difficulty getting information related to the progress of documents that are being taken care of at the notary's office. The client must take the time to arrive to the notary's office repeatedly to check the progress of the work of the document file. The purpose of this study is to facilitate clients in obtaining information about the progress of the work in progress, and make it easier for employees to process incoming documents by implementing an administrative system. This system was developed with the waterfall system development method and uses the Multi-Channel Access Technology integrated in the website to simplify the process of delivering information and requesting information from clients and to clients with Telegram and SMS Gateway. Clients will come to the office only when there is a notification from the system via Telegram or SMS notifying that the client must come directly to the notary's office, thus leading to an efficient time and avoiding excessive transportation costs. The overall functional system can function properly based on the results of alpha testing. The results of beta testing conducted by distributing the system feasibility test questionnaire to end users, get a percentage of 96% of users agree the system is feasible to be implemented.
In this work Tundra wolf algorithm (TWA) is proposed to solve the optimal reactive power problem. In the projected Tundra wolf algorithm (TWA) in order to avoid the searching agents from trapping into the local optimal the converging towards global optimal is divided based on two different conditions. In the proposed Tundra wolf algorithm (TWA) omega tundra wolf has been taken as searching agent as an alternative of indebted to pursue the first three most excellent candidates. Escalating the searching agents’ numbers will perk up the exploration capability of the Tundra wolf wolves in an extensive range. Proposed Tundra wolf algorithm (TWA) has been tested in standard IEEE 14, 30 bus test systems and simulation results show the proposed algorithm reduced the real power loss effectively.
In this work Predestination of Particles Wavering Search (PPS) algorithm has been applied to solve optimal reactive power problem. PPS algorithm has been modeled based on the motion of the particles in the exploration space. Normally the movement of the particle is based on gradient and swarming motion. Particles are permitted to progress in steady velocity in gradient-based progress, but when the outcome is poor when compared to previous upshot, immediately particle rapidity will be upturned with semi of the magnitude and it will help to reach local optimal solution and it is expressed as wavering movement. In standard IEEE 14, 30, 57,118,300 bus systems Proposed Predestination of Particles Wavering Search (PPS) algorithm is evaluated and simulation results show the PPS reduced the power loss efficiently.
In this paper, Mine Blast Algorithm (MBA) has been intermingled with Harmony Search (HS) algorithm for solving optimal reactive power dispatch problem. MBA is based on explosion of landmines and HS is based on Creativeness progression of musicians-both are hybridized to solve the problem. In MBA Initial distance of shrapnel pieces are reduced gradually to allow the mine bombs search the probable global minimum location in order to amplify the global explore capability. Harmony search (HS) imitates the music creativity process where the musicians supervise their instruments’ pitch by searching for a best state of harmony. Hybridization of Mine Blast Algorithm with Harmony Search algorithm (MH) improves the search effectively in the solution space. Mine blast algorithm improves the exploration and harmony search algorithm augments the exploitation. At first the proposed algorithm starts with exploration & gradually it moves to the phase of exploitation. Proposed Hybridized Mine Blast Algorithm with Harmony Search algorithm (MH) has been tested on standard IEEE 14, 300 bus test systems. Real power loss has been reduced considerably by the proposed algorithm. Then Hybridized Mine Blast Algorithm with Harmony Search algorithm (MH) tested in IEEE 30, bus system (with considering voltage stability index)- real power loss minimization, voltage deviation minimization, and voltage stability index enhancement has been attained.
Artificial Neural Networks have proved their efficiency in a large number of research domains. In this paper, we have applied Artificial Neural Networks on Arabic text to prove correct language modeling, text generation, and missing text prediction. In one hand, we have adapted Recurrent Neural Networks architectures to model Arabic language in order to generate correct Arabic sequences. In the other hand, Convolutional Neural Networks have been parameterized, basing on some specific features of Arabic, to predict missing text in Arabic documents. We have demonstrated the power of our adapted models in generating and predicting correct Arabic text comparing to the standard model. The model had been trained and tested on known free Arabic datasets. Results have been promising with sufficient accuracy.
In the present-day communications speech signals get contaminated due to
various sorts of noises that degrade the speech quality and adversely impacts
speech recognition performance. To overcome these issues, a novel approach
for speech enhancement using Modified Wiener filtering is developed and
power spectrum computation is applied for degraded signal to obtain the
noise characteristics from a noisy spectrum. In next phase, MMSE technique
is applied where Gaussian distribution of each signal i.e. original and noisy
signal is analyzed. The Gaussian distribution provides spectrum estimation
and spectral coefficient parameters which can be used for probabilistic model
formulation. Moreover, a-priori-SNR computation is also incorporated for
coefficient updation and noise presence estimation which operates similar to
the conventional VAD. However, conventional VAD scheme is based on the
hard threshold which is not capable to derive satisfactory performance and a
soft-decision based threshold is developed for improving the performance of
speech enhancement. An extensive simulation study is carried out using
MATLAB simulation tool on NOIZEUS speech database and a comparative
study is presented where proposed approach is proved better in comparison
with existing technique.
Previous research work has highlighted that neuro-signals of Alzheimer’s disease patients are least complex and have low synchronization as compared to that of healthy and normal subjects. The changes in EEG signals of Alzheimer’s subjects start at early stage but are not clinically observed and detected. To detect these abnormalities, three synchrony measures and wavelet-based features have been computed and studied on experimental database. After computing these synchrony measures and wavelet features, it is observed that Phase Synchrony and Coherence based features are able to distinguish between Alzheimer’s disease patients and healthy subjects. Support Vector Machine classifier is used for classification giving 94% accuracy on experimental database used. Combining, these synchrony features and other such relevant features can yield a reliable system for diagnosing the Alzheimer’s disease.
Attenuation correction designed for PET/MR hybrid imaging frameworks along with portion making arrangements used for MR-based radiation treatment remain testing because of lacking high-energy photon weakening data. We present a new method so as to uses the learned nonlinear neighborhood descriptors also highlight coordinating toward foresee pseudo-CT pictures starting T1w along with T2w MRI information. The nonlinear neighborhood descriptors are acquired through anticipating the direct descriptors interested in the nonlinear high-dimensional space utilizing an unequivocal constituent guide also low-position guess through regulated complex regularization. The nearby neighbors of every near descriptor inside the data MR pictures are looked during an obliged spatial extent of the MR pictures among the training dataset. By that point, the pseudo-CT patches are evaluated through k-closest neighbor relapse. The planned procedure designed for pseudo-CT forecast is quantitatively broke downward on top of a dataset comprising of coordinated mind MRI along with CT pictures on or after 13 subjects.
The cognitive radio prototype performance is to alleviate the scarcity of spectral resources for wireless communication through intelligent sensing and quick resource allocation techniques. Secondary users (SU’s) actively obtain the spectrum access opportunity by supporting primary users (PU’s) in cognitive radio networks (CRNs). In present generation, spectrum access is endowed through cooperative communication-based link-level frame-based cooperative (LLC) principle. In this SUs independently act as conveyors for PUs to achieve spectrum access opportunities. Unfortunately, this LLC approach cannot fully exploit spectrum access opportunities to enhance the throughput of CRNs and fails to motivate PUs to join the spectrum sharing processes. Therefore, to overcome this con, network level cooperative (NLC) principle was used, where SUs are integrated mutually to collaborate with PUs session by session, instead of frame based cooperation for spectrum access opportunities. NLC approach has justified the challenges facing in LLC approach. In this paper we make a survey of some models that have been proposed to tackle the problem of LLC. We show the relevant aspects of each model, in order to characterize the parameters that we should take in account to achieve a spectrum access opportunity.
In this paper, the author provides insights and lessons that can be learned from colleagues at American universities about their online education experiences. The literature review and previous studies of online educations gains are explored and summarized in this research. Emerging trends in online education are discussed in detail, and strategies to implement these trends are explained. The author provides several tools and strategies that enable universities to ensure the quality of online education. At the end of this research paper, the researcher provides examples from Arab universities who have successfully implemented online education and expanded their impact on the society. This research provides a strategy and a model that can be used by universities in the Middle East as a roadmap to implement online education in their regions.
In this paper, a low pass filter based on T-Shaped resonator is presented. The T-Shaped resonator consists of meandered lines and rectangular patches. Also, the LC model and transfer function of the proposed resonator is presented. For suppression of spurious harmonics, a bandstop structure consists of hexangular patches and open stubs has been utilized. Finally, the wide stopband microstrip lowpass filter with cutoff frequency 2.72 GHz has been simulated, fabricated and measured. The LPF has good characteristics such as wide stopband and insertion loss lower than 0.18 dB in the passband region. The rejection level is less than -20 dB from 2.98 up to 21.3 GHz. The filter size is 10.5 mm×12.7 mm, or 0.131 λg× 0.158 λg, where λg is the guided wavelength. The measured and simulated results of the filter is in good agreement with each other, which show the merits of low insertion loss and wide stopband.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
03 20237 arduino based gas-
1. International Journal of Informatics and Communication Technology (IJ-ICT)
Vol.9, No.3, December 2020, pp. 171~178
ISSN: 2252-8776, DOI: 10.11591/ijict.v9i3.pp171-178 171
Journal homepage: http://ijict.iaescore.com
Arduino based gas leakage control and temperature
monitoring system
Abubakar Yakub Nasir1
, U. I. Bature2
, N. M. Tahir3
, A. Y. Babawuro4
, Adoyi Boniface5
A. M. Hassan6
1,2,5,6
Department of Computer and Communications Engineering, Abubakar Tafawa Balewa University, Nigeria
3,4
Department of Mechatronics and systems Engineering, Abubakar Tafawa Balewa University, Nigeria
Article Info ABSTRACT
Article history:
Received Nov 12, 2019
Revised Jan 20, 2020
Accepted Feb 2, 2020
In the wake of the sudden replacement of wood and kerosene by gas cookers
for several purposes in Nigeria, gas leakage has caused several damages in
our homes, Laboratories among others. installation of a gas leakage detection
device was globally inspired to eliminate accidents related to gas leakage.
We present an alternative approach to developing a device that can
automatically detect and control gas leakages and also monitor temperature.
The system detects the leakage of the LPG (Liquefied Petroleum Gas) using
a gas sensor, then triggred the control system response which employs
ventilator system, Mobile phone alert and alarm when the LPG concentration
in the air exceeds a certain level. The performance of two gas sensors (MQ5
and MQ6) were tested for a guided decision. Also, when the temperature of
the environment poses a danger, LED (indicator), buzzer and LCD (16x2)
display was used to indicate temperature and gas leakage status in degree
Celsius and PPM respectively. Attension was given to the response time of
the control system, which was ascertained that this system significantly
increases the chances and efficiency of eliminating gas leakage
related accident.
Keywords:
Gas leakage
GSM
LCD
LPG
MQ
This is an open access article under the CC BY-SA license.
Corresponding Author:
Abubakar Yakub Nasir,
Department of Computer and Communications Engineering,
Abubakar Tafawa Balewa University,
P.M.B 0248, Bauchi, Nigeria.
Email: aynasir@gmail.com
1. INTRODUCTION
Nowadays, in Africa the use of kerosene stove and/or electric cooker is rapidly replaced by the gas
cooker which is abundant and more cost effective for domestic use. Gas is also used in laboratories and
industries for various purposes also used in some vehicles as a fuel due to hiking prices of diesel or petrol [1].
LPG are usually stored in a compressed air tight steel vessels that are meant to be at room temperature [2], or
even less to prevent explosion.
Some researchers mentioned that LPG leakage has become one of the most concern issues these
days. Several reports show that some fire incidences could have been avoided in the past if gas leakages were
detected. Consider the recorded world’s worst gas accident at Bhopal gas tragedy in India that happened as a
result of gas leakages [3]. Therefore, going by the growing level of patronage of LPG for domestic and
industrial applications, it become necessary to come up with an alternative safety measures and process for
catering the outbreak of fire accident that may be as a result of leakages [4]. It was detailed before the
creation of domestic gas detectors in the beginning of 90s, that the use of chemically infused paper that
changes colour under the influences of gas was appreciated to detect the presence of LPG [5]. Quite a
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number of effective gas leakages systems were developed after the emergence of electronic gas detectors.
Also, considering the evolvement of 5G wireless communication, in 2018 [6] V. R. Nag and M. Sarvagya
mentioned that dual band printed slot antenna that can greatly assist in realizing advancement in
communication. Thus, wireless communication could aid in detecting and alerting danger before they occur
[7-9]. Notification system is another form of alert; this process will allow home owners to receive messages
before dangers occur [10]. In [11], they proposed an architecture of an alerting system that can cater for the
setbacks of website, bulletin boards and social media. Hence, it become necessary to design systems that can
detect and alert owners for quick measures before harm transpire.
2. PREVIOUS WORK
Safety system is essential; it acts as a security measure against harm or damage. Smoke and gas
sensors, fire alarm and temperature sensors are considered as counter measures for fire incident. Air
contaminated with harmful gases usually oxides of carbon, nitrogen and sulphur could endanger living beings
and organisms such as difficulty in breathing, stress, skin disorder and often end up in fire incidences. Thus,
it is pertinent to carter for the causes of air pollution before it causes some harms. So many monitoring
systems were proposed because of their importance, ranging from human monitoring using biosensors [12],
Temperature and humidity monitoring at bio-energy process [13], suspicious human activities detection
system [14] and [15] for Gas leakage detection using LabVIEW display. In 2019, method of detecting air
pollution using image processing techniques was proposed [16] using infrared image. Temperature control
systems are becoming common in almost all fields and households because of their importance. An automatic
multi appliances temperature dependent value was proposed in [17], the system helps in reducing reliance on
human operator in warehouses, industries, laboratories etc. In [18], A. A. Asraf Roslan and R. Baharom have
proposed a gas leakage, fire and power supply failure monitoring system, it consists of GSM module and
Arduino UNO that provides some features like smoke and gas detectors that send a notification in form SMS
with the location and particular incident, this could be quickly responded to before any disaster occur, but our
system detect the concentration of the gas and the level of the temperature and send SMS immediately when
the threshold exceed some certain level.
As a result of sudden development witnessed in communication sector in most of developing
countries, GSM-Based gas monitoring system has received huge interest. A microcontroller based gas leakage
detector system was designed in [19], after MQ5 senses the presences of the gases, an SMS will be sent to the
owner’s phone via GSM module controlled by the brain of the system (PIC16F877), but alarm using buzzer
will be activated as a third party environmental control of the system. Also, another GSM-Based gas detector
system was developed in [20], this possess better accuracy than [19] but it requires an external pre-control
intervention for the environment, uses MQ-6 gas sensor with AT89C51 microcontroller. Similarly, another
approach using DS18B20 temperature sensing unit, humidity sensing using db171 and carbon dioxide using b-
530 unit was developed [21], the brain of the system was the STC89C51RC microcontroller unit, and the
system was effective but a little bit expensive and complex. An IoT based house security system was proposed
in [22], this system has the ability to sense and detect gas, motion, temperature and humidity using Arduino
and Raspberry Pi and it has an ability to send messages to the house owner in case of any suspicious act, but
the use of servo motor that moves the camera for motion capture may add unnecessary cost and source of error
to the device. Another IoT based system was proposed in [23], the system consists of control and sensor units
for managing the received data.
The NodeMCU development kit was employed as the core control unit, this system provides gas and
temperature sensing and a buzzer was used for alerting the house occupant in case of danger issues, but the use
of NodeMCU development kit as core control unit may add cost to the system. Another device that has the
ability to make three different actions when LPG gas was detected was proposed [24], it alert the owner by
making sound as a notification for quick action, send an SMS to a phone and finally provide a display on a
screen. Despite being cost effective; the system cannot detect temperature which is vital when it comes to fire
disaster control. This project is built on GSM based monitoring system that utilizes the effective
semiconductor gas sensor (MQ-6), it has the capacity to sense various natural gases not only butane and
propane using tin dioxide (SnO2). The GSM module that requires one SIM card from any network, this will be
used for sending messages to the user’s cell phone after a gas leakage detected by the sensor. The basic
humidity and digital temperature sensor DHT 22 measures the surrounding air and passes the digital signal to
the UNO Arduino data pin, it requires no analog input. This makes the design cost effective, efficient and also
environmentally friendly.
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3. RESEARCH METHOD
3.1. Block diagram
The proposed gas leakage security system is illustrated in Figure 1.
Figure 1. Block diagram
3.2. MQ-6 Gas sensor
This type of gas sensor is shown in Figure 2. Is a class of gas leakage sensor which is manufactured
from a semiconductor material with tin dioxide (SnO2) as the sensitive part. In clean air, it has a very low
conductivity. It has sensitivity to propane, butane and other natural gases with low sensitivity to alcohol and
cigarette smoke. Also, this type of gas sensor can be used for the detection of combustible gases such
as methane.
Figure 2. MQ-6 Gas sensor
The sensor has a concentration range of 300-1000ppm with fast response time. The sensor has six
(6) pins. Four (4) pins are used for signals fetching and the other two (2) for providing heating current.
Figure 3 shows the typical sensitivity characteristics of this type of gas sensor (MQ-6).
Figure 3. Sensitivity characteristics of the MQ-6 gas sensor for several gases
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3.3. GSM receiver
The Arduino UNO microcontroller hardware was programmed to send to the user SMS notification
via the GSM module (shown in Figure 4) whenever gas leakages are detected by the gas sensor. The GSM
module uses a single SIM card which connects to any available network (depending on the particular service
provider the user decides to use). The module has unique identification number such as those used in mobile
phones and work on 12V DC supply. Both SMS and voice messages can be sent via this module which are at
the same time saved on the memory space of the microcontroller. The system works in such a way that
multiple notifications (in either SMS or voice messages) can be send to police, fire men or the user.
Figure 4. GSM module
3.4. DHT 22 temperature sensor
This is a digital type of sensor used for detection of both temperature and humidity (see Figure 5). It
uses a thermistor and capacitive humidity to measure the surrounding air and gives out digital signals through
the data pin. This sensor doesn’t require any analog input pin.
Figure 5. DHT 22 Temperature sensor
3.5. DC motor
DC motor is the actuating device used in this work to access the system prototype. It is a rotary type
electrical machine that receives a low power electrical signal from the microcontroller and produce
mechanical motion.
4. RESULTS AND DISCUSSION
In other to obtain a guided decision, two prototypes of the gas leakage and temperature monitoring
system were developed. This systems were developed to observe the performance of each setup based on the
choice of component used and suggest what system is best for the environment the experiment was carried
out. One of the versions of the system [25] uses MQ-6 gas sensor while the newer system utilizes MQ-5. In
many similar projects for gas leakage detection, the MQ-series sensors have been tried separately with
different microcontroller setup like in [6] they explained the strength and weakness of the MQ-2 sensor when
stretch to limit. Meanwhile in [26] MQ-9 was used to test LPG leakage, drawing attension to detection time
and concentration of the gas, the project uses only alarm as the means of alert.
In our work we incorporate three monitoring and one control devices while utilizing two diffirent
sensor types, we aim to focus on time detection with respect to distance and finally to the delay in response
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of the control system as shown in the graphs (Figure 6) below. The evaluation begins in a chemical
Laboratory where substantial amount of heating is performed using Propane Gas Cylinder, this serve as our
testing environment. The systems were tested by bringing a propane gas cylinder close to the sensors and
continue to vary the distance while data are being collected to observe the detection time and distance. The
time and distance were measured using stop watch and meter rule respectively. The data for the time of
response of the monitoring unit were also observed using different stop Watch and recorded as shown in the
graph below. The sensor detects the LPG gas and sends a signal to the microcontroller, it then analyses the
received signal. After that, the microcontroller sends an active signal to other externally connected devices,
as a result, a buzzer rings which indicate the presence of the gas. Simultaneously the DC motor opens the
ventilation windows and the GSM module send an SMS to a designated mobile phone. Also, when a high
temperature is detected using the DHT22, it sends an active signal to the microcontroller and a message is
displayed on the LCD screen showing the temperature reading. Upon intervention, when the reset button is
pressed, the system refreshes itself and whole system regains a position we refer as the initial state.
Figure 6. The graph of Gas Alarm/detection response, SMS alert response and ventilation control response
time.
Figure 7. Output message received over a range of test time.
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60
Time(s)
Distance (cm)
Alarm/detection Time
Control Response Time
SMS Response Time
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The system was tested for 20 minutes as shown on Figure 7 and also at different days. During the
test, in order to obtaind near accurate timing the team use different stop watch to monitor the Alarm/detection
time, the Control response time and the SMS alert time over the varying distance use. Although the only
entity that depends on the distance is the Alarm/detection time, the remaining actively rely on the detection
signal as indicated in the graph (Figure 6). A Significant delay was seen for the SMS alert time while
difficulties were experienced between recording the detection time and control response time, as in many
cases the relay is triggered within seconds of detection time. This performance was also noticed with the
second system setup as the only difference was the sensor but in future work, in other to get a better
judgement, a complete setup change will be considered. Due to similarities recorded in the reading between
the two sytems the result of a single system was resolved to be displaced as shown in the graph (Figure 6). In
the graph it can be observe that the instability arises mostly from the SMS alert time but overall, the time
interval is acceptably fast.
5. CONCLUSION
There are several gas leakage control systems in existance today and each address or focused on a
particular way of providing solution to the common problem. In other to contribute to this long disturbing
problem, a careful analysis was carried out to identify the little gray area in the previously proposed designs.
The three monitoring and one control device incorporated enable it to address the delay in response time by
automatic quick air control before the intervention of a personal despite being alerted using SMS. This idea
reduces heavily the reliance on the action of a personal and increase the window of oppurtunuty to avert
disaster. In many similar designs like ours; Despite being cost effective; the system is not design to reduce the
concentration of the gas by using air control system and that is what our system successfuly incorporated with
good response time of the ventilator. This project is built on GSM based monitoring system that utilizes the
effective semiconductor gas sensor (MQ-6), it has the capacity to sense various natural gases not only butane
and propane using tin dioxide (SnO2). Mainly this device is design to alert with a sound, SMS, provide a
display on a screen and finaly control a ventilator. It requires no analog input, which makes the design cost
effective, efficient and also environmentally friendly. In our work we focused on time of gas detection with
respect to distance and the delay in response of the control system, at the end our design shows an acceptable
efficiency. In our future work, we aim to calibrate the gas sensor for a specific gas to be sensed by training
instead of the numerous gases it senses.
ACKNOWLEDGEMENTS
This work is supported by the Department of Computer and Communications Engineering, Abubakar
Tafawa Balewa University (ATBU). The authors also thank the Chemical Engineering Laboratory of ATBU.
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BIOGRAPHIES OF AUTHORS
Abubakar Yakub Nasir received a B.Eng. Computer Engineering from Bayero University Kano
(BUK), Nigeria and Master of Engineering (Electrical-Computer and Microelectronic system)
from Universiti Teknologi Malaysia (UTM), Malaysia. He is currently a lecturer in the
Department of Computer and Communications Engineering, Abubakar Tafawa Balewa
University Bauchi (ATBU), Nigeria. His research interest includes Computer and Robotic
Vision, Image processing and Embedded systems.
U. I. Bature is currently a PhD. Candidate in the Department of Electrical Engineering,
Universiti of Teknologi Petronas (UTP) Malaysia. He received a B.Eng. Computer Engineering
from Bayero University Kano (BUK), Kano city, Nigeria and degree of Master of Engineering
(Electrical - Computer and Microelectronic system) from Universiti Teknologi Malaysia (UTM),
Skudai, Johor Bahru, Malaysia. He is currently a lecturer in the Department of Computer and
Communications Engineering, Abubakar Tafawa Balewa University Bauchi (ATBU), Nigeria.
His research interest includes Image processing, Nano-material design, embedded systems and
Biomedical Systems
N. M. Tahir received the B.Eng. degree in Electrical Engineering from Bayero University, Kano
in 2012 and M.Eng. Degree in Mechatronics and Automatic Control from the
UniversitiTeknologi Malaysia in 2016. He has been involved in research at Mechatronics
systems and Robotics Laboratory in UniversitiTeknologi Malaysia on vibration control, robotics
and Mechatronics system design. He has been a lecturer at the Department of mechatronic and
system Engineering, Abubakar Tafawa Balewa University, Bauchi Nigeria since 2014.His main
research interests include Vibration Control, Mechatronics Systems Design, Control System
Design and Robotics.
A. Y. Babawuro received a B. Eng. Mechanical Engineering from University of Maiduguri,
Borno State, Nigeria and Master of Science (Mechatronics Engineering) from International
Islamic University Malaysia (IIUM), Malaysia. He is currently a full-time teaching staff in the
Department of Mechatronics and Systems Engineering, Abubakar Tafawa Balewa University
Bauchi (ATBU), Nigeria. His research interest includes Robotics and Automation, Active force
control, Artficial Intelligence and Machine Learning.
Adoyi Boniface received a B. Eng degree in Computer and Communications Engineering from
Abubakar Tafawa Balewa University, Bauchi. He has been involved in research related to
electronics and embedded syatems and his research interest includes automation,
microelectronics and computer vision.
A. M. Hassan is a lecturer with the Department of Computer and Communications Engineering,
Abubakar Tafawa Balewa University Bauchi (ATBU), Nigeria. Rececived B.Eng. Computer
Engineering from Bayero University Kano (BUK), Kano city, Nigeria and Master of
Engineering (Electrical - Computer and Microelectronic system) from Universiti Teknologi
Malaysia (UTM), Skudai, Johor Bahru, Malaysia. He is currently a PhD. student in the
Department of Electrical Engineering, Bayero University Kano (BUK), Kano. His research
interest includes Computer vision, video and image processing, Medical imaging.