Implementation of IoT-Based Generator Management System Using GPy

2021 ◽  
Vol 10 (1) ◽  
pp. 33-49
Author(s):  
Deepak Sheshbadan Verma ◽  
Sumit Satish Pai ◽  
Krishna Nagendra Vishwakarma
Keyword(s):  
Real Time ◽  
Fuel Consumption ◽  
Mobile Application ◽  
Current Method ◽  
Diesel Generator ◽  
Current Management ◽  
Digital Devices ◽  
Ac Power ◽  
Modern Business ◽  
New System

In the era of digital devices, many industries still use traditional methods of pen and paper to maintain records. One such industry is the diesel generator industry where these generators are operated without any proper supervision. The current management of these generator vans is highly unorganized. This causes a lot of miscommunication between the owners and the customers. The idea focuses on monitoring the different parameters of a diesel generator using internet-connected sensors. Parameters such as fuel consumption, AC power ON time, RPM of the turbine, and temperature are measured in real time. The system helps the owners to monitor their generators vans through one mobile application rather than depending on the on-site operators. Both the owners and customers can see how much power was consumed and how their bill was generated. Rather than using pen and paper to maintain records in the current method, the new system completely transforms the old methods into a highly digitalized modern business.

scholarly journals Vector Maps Mobile Application for Sustainable Eco-Driving Transportation Route Selection

2020 ◽  
Vol 12 (14) ◽  
pp. 5584
Author(s):  
Vahid Balali ◽  
Soheil Fathi ◽  
Mehrdad Aliasgari
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Fuel Consumption ◽  
Mobile Application ◽  
Ghg Emissions ◽  
Transportation Systems ◽  
Route Selection ◽  
Travel Costs ◽  
Traffic Rate ◽  
Carbon Dioxide Co2

The decisions managing all modes of transportation are currently based on the traffic rate and travel time. However, other factors such as Green House Gas (GHG) emissions, the sustainability index, fuel consumption, and travel costs are not considered. Therefore, more comprehensive methods need to be implemented to improve transportation systems and support users’ decision making in their daily commute. This paper addresses current challenges by utilizing data analytics derived from our proposed mobile application. The proposed application quantifies various factors of each transportation mode including but not limited to the cost, trip duration, fuel consumption, and Carbon Dioxide (CO2) emissions. All calculated travel costs are based on the real-time gas prices and toll fees. The users are also able to navigate to their destination and update the total travel costs in real-time. The emissions data per trip basis are aggregated to provide analytics of emissions usage. The traffic data is collected for the Southern California region and the effectiveness of the application is evaluated by twenty participants from California State University, Long Beach. The results demonstrate the application’s impacts on users’ decision-making and the propriety of the factors used in route selection. The proposed application can foster urban planning and operations vis-à-vis daily commutes, and as a result improve the citizens’ quality of life in various aspects.

scholarly journals ATCO radar training assessment and flight efficiency: the correlation between trainees’ scores and fuel consumption in real-time simulations

2020 ◽  
pp. 1-17
Author(s):  
T. Rogošić ◽  
B. Juričić ◽  
F. Aybek Çetek ◽  
Z. Kaplan
Keyword(s):  
Real Time ◽  
Fuel Consumption ◽  
Basic Training ◽  
Air Traffic Controller ◽  
Training Assessment ◽  
Assessment Scores ◽  
Human In The Loop ◽  
Assessment Standards ◽  
Two Parameters ◽  
Real Time Simulations

ABSTRACT Air traffic controller training is highly regulated but lacks prescribed common assessment criteria and methods to evaluate trainees at the level of basic training and consideration of how trainees in fluence flight efficiency. We investigated whether there is a correlation between two parameters, viz. the trainees’ assessment score and fuel consumption, obtained and calculated after real-time human-in-the-loop radar simulations within the ATCOSIMA project. Although basic training assessment standards emphasise safety indicators, it was expected that trainees with higher assessment scores would achieve better flight efficiency, i.e. less fuel consumption. However, the results showed that trainees’ assessment scores and fuel consumption did not correlate in the expected way, leading to several conclusions.

scholarly journals Real-Time Implementation of the Predictive-Based Control with Bacterial Foraging Optimization Technique for Power Management in Standalone Microgrid Application

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1723
Author(s):  
Félix Dubuisson ◽  
Miloud Rezkallah ◽  
Hussein Ibrahim ◽  
Ambrish Chandra
Keyword(s):  
Real Time ◽  
Power Management ◽  
Renewable Energy Sources ◽  
Optimization Technique ◽  
Euler Method ◽  
Small Scale ◽  
Diesel Generator ◽  
Bacterial Foraging Optimization ◽  
Time Model ◽  
Bacterial Foraging

In this paper, the predictive-based control with bacterial foraging optimization technique for power management in a standalone microgrid is studied and implemented. The heuristic optimization method based on the social foraging behavior of Escherichia coli bacteria is employed to determine the power references from the non-renewable energy sources and loads of the proposed configuration, which consists of a fixed speed diesel generator and battery storage system (BES). The two-stage configuration is controlled to maintain the DC-link voltage constant, regulate the AC voltage and frequency, and improve the power quality, simultaneously. For these tasks, on the AC side, the obtained power references are used as input signals to the predictive-based control. With the help of the system parameters, the predictive-based control computes all possible states of the system on the next sampling time and compares them with the estimated power references obtained using the bacterial foraging optimization (BFO) technique to get the inverter current reference. For the DC side, the same concept based on the predictive approach is employed to control the DC-DC buck-boost converter by regulating the DC-link voltage using the forward Euler method to generate the discrete-time model to predict in real-time the BES current. The proposed control strategies are evaluated using simulation results obtained with Matlab/Simulink in presence of different types of loads, as well as experimental results obtained with a small-scale microgrid.

scholarly journals Quality control in cloth production: a new system for real-time defect detection

2000 ◽  
Author(s):  
Antonio Baldassarre ◽  
Maurizio De Lucia ◽  
Francesca Rossi ◽  
Massimiliano Vannucci
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Defect Detection ◽  
Cloth Production ◽  
New System

scholarly journals Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application

2018 ◽  
Vol 8 (6) ◽  
pp. 5118 ◽  
Author(s):  
Nabeel Salih Ali ◽  
Zaid Abdi Alkaream Alyasseri ◽  
Abdulhussein Abdulmohson
Keyword(s):  
Real Time ◽  
Mobile Application ◽  
Electronic Circuit ◽  
Healthcare Services ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Medical Monitoring ◽  
Monitoring Technique ◽  
Arduino Microcontroller ◽  
User Friendly

Wireless Sensor Networks (WSNs) for healthcare have emerged in the recent years. Wireless technology has been developed and used widely for different medical fields. This technology provides healthcare services for patients, especially who suffer from chronic diseases. Services such as catering continuous medical monitoring and get rid of disturbance caused by the sensor of instruments. Sensors are connected to a patient by wires and become bed-bound that less from the mobility of the patient. In this paper, proposed a real-time heart pulse monitoring system via conducted an electronic circuit architecture to measure Heart Pulse (HP) for patients and display heart pulse measuring via smartphone and computer over the network in real-time settings. In HP measuring application standpoint, using sensor technology to observe heart pulse by bringing the fingerprint to the sensor via used Arduino microcontroller with Ethernet shield to connect heart pulse circuit to the internet and send results to the web server and receive it anywhere. The proposed system provided the usability by the user (user-friendly) not only by the specialist. Also, it offered speed andresults accuracy, the highest availability with the user on an ongoing basis, and few cost.

scholarly journals Development of multiplex real-time RT-PCR assay for the detection of SARS-CoV-2

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250942
Author(s):  
Huseyin Tombuloglu ◽  
Hussein Sabit ◽  
Ebtesam Al-Suhaimi ◽  
Reem Al Jindan ◽  
Khaled R. Alkharsah
Keyword(s):  
Real Time ◽  
Single Gene ◽  
False Negative ◽  
Diagnostic System ◽  
Virus Detection ◽  
Current Method ◽  
Pcr Method ◽  
Polymerase Chain ◽  
Positive Results ◽  
Good Agreement

The outbreak of the new human coronavirus SARS-CoV-2 (also known as 2019-nCoV) continues to increase globally. The real-time reverse transcription polymerase chain reaction (rRT-PCR) is the most used technique in virus detection. However, possible false-negative and false-positive results produce misleading consequences, making it necessary to improve existing methods. Here, we developed a multiplex rRT-PCR diagnostic method, which targets two viral genes (RdRP and E) and one human gene (RP) simultaneously. The reaction was tested by using pseudoviral RNA and human target mRNA sequences as a template. Also, the protocol was validated by using 14 clinical SARS-CoV-2 positive samples. The results are in good agreement with the CDC authorized Cepheid`s Xpert® Xpress SARS-CoV-2 diagnostic system (100%). Unlike single gene targeting strategies, the current method provides the amplification of two viral regions in the same PCR reaction. Therefore, an accurate SARS-CoV-2 diagnostic assay was provided, which allows testing of 91 samples in 96-well plates in per run. Thanks to this strategy, fast, reliable, and easy-to-use rRT-PCR method is obtained to diagnose SARS-CoV-2.

scholarly journals RF signal calibration for improvement of 3D mapping image to locate moisture distribution in rice silo

2021 ◽  
Vol 2107 (1) ◽  
pp. 012059
Author(s):  
A A Almaleeh ◽  
A Zakaria ◽  
M H F Rahiman ◽  
Y B Abdul Rahim ◽  
L Munirah ◽  
...  
Keyword(s):  
Moisture Content ◽  
Real Time ◽  
Current Method ◽  
Moisture Distribution ◽  
Rice Grain ◽  
Tomographic Images ◽  
Grain Moisture ◽  
A New Technique ◽  
Assurance Process ◽  
Rf Signal

Abstract Grain storage is an important part of the post-harvest quality assurance process. The moisture level of the grains during storage is one of the primary problems. The current method of measuring rice grain moisture content is based on random sampling, which is relatively localised, and there is no real-time moisture content measurement available. The RF signal was used to build a new technique for detecting moisture and its presence in rice in real-time in this paper. The mapping of an RF signal, in particular, can be transformed into volumetric tomographic images that can be used to forecast moisture distribution.

scholarly journals Automatic Target Acquisition and Bull Tracker using Gps and Gsm Technology

2020 ◽  
Vol 9 (3) ◽  
pp. 2776-2779
Keyword(s):  
Real Time ◽  
Mobile Application ◽  
Tracking System ◽  
Target Acquisition ◽  
Time Intervals ◽  
Regular Time ◽  
Arduino Microcontroller

An efficient bull tracking system is designed and implemented for tracking the movement of any bull from any location at any time. The designed device works using GPS and GSM technology for bull tracking. Arduino microcontroller is used to control the GPS and GSM module. The device is embedded on a bull whose position is to be determined and tracked in real time. The microcontroller is used to control the GPS module to get the coordinates at regular time intervals. The GSM module is used to transmit the updated coordinates of bull location to the client via SMS and mobile application. When the SMS is received, the app will automatically read the SMS and update the location of the bull to the user. This device will help the user to always keep an eye on their bull.

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