Recent years, unmanned aerial vehicles (UAVs) have been used to perform various tasks such as surveillance, monitoring, rescue, photography, and security. Quadcopter configuration of UAV is most common due to its simp...
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Recent years, unmanned aerial vehicles (UAVs) have been used to perform various tasks such as surveillance, monitoring, rescue, photography, and security. Quadcopter configuration of UAV is most common due to its simplicity, stability, and versatile controllability. Quadcopter landing is most crucial part of the overall operating process. It needs a lot of practice and effort for a safe landing. Therefore, a fuzzy logic-based safe landing system is proposed in this paper. This paper includes a landing system based on laser rangefinder, arduino mega MCU, and Pixhawk flight controller. The lookup table technique is used to implement fuzzy logic inside arduino mega. This technique takes very small execution time for data processing in fuzzy logic, which is essential for high-speed data processing and updating. Autonomous landing process can be triggered and override at any time using remote controller. Furthermore, various tests are performed on a quadcopter to verify the feasibility of proposed algorithm.
Sealed-type lead-acid batteries are most common energy storage devices used with renewable systems. Battery state of charge (SOC) and state of health (SOH) estimation is a crucial part which requires maximum possible ...
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Sealed-type lead-acid batteries are most common energy storage devices used with renewable systems. Battery state of charge (SOC) and state of health (SOH) estimation is a crucial part which requires maximum possible accuracy to ensure a secure and long-lasting battery energy storage system by cutting off charging and discharging processes at right time (100-40%). In this research work, a neural network (NN)-based simplified SOC and SOH estimation technique is proposed. Proposed technique provides an accurate online SOC and SOH estimation without battery internal parameter information. This technique only requires real-time battery voltage and current information and very simple mathematical calculations to estimate SOC and SOH, which makes it easy to implement at any low-cost micro-controller unit (MCU). Training data for NN have been acquired by using arduino mega MCU, voltage sensor circuit, and current sensor. The NN program is designed and trained by backpropagation technique in arduino mega. The calculated weights are further used for estimation. Terminal voltage and open-circuit voltage are measured for different charging currents and discharging currents . Later on, these data are used for training the NN. Experimental results are provided to prove the preeminence of proposed SOC and SOH estimation technique.
Weather estimate, in reality continuous weather gauge is essential for our day by day life particularly in agribusiness. National weather data does not generally contain the precise information of each area rather it ...
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ISBN:
(纸本)9781538680124
Weather estimate, in reality continuous weather gauge is essential for our day by day life particularly in agribusiness. National weather data does not generally contain the precise information of each area rather it contains the information of closest climate station for a timeframe. The fundamental aim of this project is to develop a RES powered Weather Station which will help to monitor the weather parameters. Such a project contains sensors for detecting temperature, humidity, raindrop, carbon mono-oxide, smoke, LPG in the environment, barometric pressure, altitude etc. The information from the sensors are gathered by the arduino. arduino sends the sensors information in LCD display. Additionally, the device sends an SMS which contains weather information to the user with the assistance of a GSM module. At the end of the project the results have been compared between the national weather data and the actual reading. According to the results, the percentage of deviation for Temperature is 1%, Humidity is 5% and Barometric Pressure is 8%.
The pipe distribution network is a complex matter for the water distribution system. Meanwhile, the needs of clean water have grown rapidly. This has become a problem for water distribution in many cities, including P...
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ISBN:
(纸本)9781728147147
The pipe distribution network is a complex matter for the water distribution system. Meanwhile, the needs of clean water have grown rapidly. This has become a problem for water distribution in many cities, including Palembang since the clean water is not distributed equally. Consequently, every household does not get the flow rate based on their needs yet. Thus, this paper proposes a clean water distribution control system which utilizes arduino based on the fuzzy method. This control system is built in a prototype design and uses 3 sensor flows as input and 3 servo outputs which control the valve of the servo. Meanwhile, the fuzzy logic program uses arduino mega microcontroller as a process regulator at the input and output. Each distribution area is controlled by a servo value as the output of Pulse Width Modulation (PWM) from the arduino mega. The results show that PWM will control the opening of the valve according to the needs so the water flow will be distributed and received by the costumers at the same time.
This paper presents Smart Movable Road Divider for controlling the traffic congestion in metropolitan cities and to provide a free path for the ambulance. The work presented in this paper focuses on reducing the laten...
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ISBN:
(纸本)9781728106304;9781728106311
This paper presents Smart Movable Road Divider for controlling the traffic congestion in metropolitan cities and to provide a free path for the ambulance. The work presented in this paper focuses on reducing the latency in traffic and free path for ambulance. The existing Road Dividers consists of equal number of lanes. Usually, in morning and evening peak hours the opposite side of the Road Divider is generally underutilized. To overcome this, Smart Movable Road Divider is implemented where the divider is moved based on the density of the traffic using IR Sensors. If the density of the traffic is high on one side, the divider is moved to the other side. Then the density of traffic is stored in cloud which is possible through loT. A free path for Ambulance is provided using RF Module by controlling the traffic signal. A Prototype is developed and tested for the Congestion control which also works on safety measures by intimating the drivers about the movement of the Divider.
In recent decades, enormous improvements in the rehabilitation of the amputee have been made. A major development is that the prosthetic restoration of a limb or an extremity re-establishes the functional mobility of ...
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ISBN:
(纸本)9781728123141
In recent decades, enormous improvements in the rehabilitation of the amputee have been made. A major development is that the prosthetic restoration of a limb or an extremity re-establishes the functional mobility of the patient. Therefore, myoelectric control devices become popular as they mimic the appearance and replace the function of a missing limb simultaneously. For this reason, the overall goal of this project is to classify motion patterns, especially of different types of contractions in order to drive a below-elbow prosthetic arm. Firstly, the acquisition part is designed to capture surface EMG signals using Myoware sensor acquisition board placed on the biceps and triceps and to perform the required signal processing. Secondly, an analysis is performed on the obtained signals, and feature extraction is implemented accordingly. After that, the EMG classification is done using an Artificial Neural Network (ANN) computing system. The ANN is a machine learning method made of many layers, and trained to recognize the muscle contractions. The weights and the activation function are updated to predict seven gestures output. Thus, the input and the output are manipulated to perform a specific task accurately and the algorithm is considered a real time system due to its fast response.
This paper deals with the hardware implementation of digital PID controller for DC-DC Boost converter based on arduino mega. The digital PID is designed to control the output voltage of the converter and to improve it...
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ISBN:
(纸本)9781728127262
This paper deals with the hardware implementation of digital PID controller for DC-DC Boost converter based on arduino mega. The digital PID is designed to control the output voltage of the converter and to improve its performance regardless of load or input voltage variations. Firstly, The transfer function of the boost converter is extracted based on small-signal method. And then the PID parametrises are calculated using the second method of Zigler-Nechols (Z-N). Secondly, simulation and experimental tests are provided and its feasibility is investigated in Matlab/Simulink. The simulation and experimental results show the good performance of the designed prototype in term of reliability and accuracy in tracking the desired output voltage.
Bicycle crushes with automobile vehicles in roads mostly in curved roads and kills thousands of bicyclist with great injuries in every year. This fact indicates the importance of advancement in conventional vehicle sy...
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ISBN:
(纸本)9781538651636
Bicycle crushes with automobile vehicles in roads mostly in curved roads and kills thousands of bicyclist with great injuries in every year. This fact indicates the importance of advancement in conventional vehicle systems. This paper presents a prototype model of smart bicycle safety system using arduino mega 2560 and arduino Uno Rev3. The system consists of hand gesture and push button to show turn direction of rider, send messages along with location if rider is in trouble and indicates if it is safe to take a turn or not. The system is very cost efficient and provides safety and security for riders of bicycle and other low-end vehicles.
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