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A complete automated solution for farm field and garden nurturing using Internet of Things
Published in Govind Singh Patel, Amrita Rai, Nripendra Narayan Das, R. P. Singh, Smart Agriculture, 2021
S. Siva Kumar, A. M. Senthil Kumar, T. Rajesh Kumar, N. Sree Ram, V. Krishna Reddy, P. Sivakumar
Al-Bahadly and Thompson (2015) gave a system that measures the soil moisture and determines whether soil requires water or not. The system simulates a garden sprinkler that utilizes a dual output tap timer which consists of two water valves. A Teensy 2.0 microcontroller reads the two moisture-sensing circuits and controls the water valves. The system is more successful because of the more reliable use of the soil probes. Tripathy et al. (2015) gave a system which uses soil moisture, light and temperature sensors to decide (Nimmagadda et al. 2020) the amount of water to be supplied to the plants. The microcontroller is configured by embedded C and Python programming languages. The sensor data are displayed to the user using graphical user interface. The user will control and monitor the system remotely.
Advances in Ultra-Low-Power Miniaturized Applications for Health Care and Sports
Published in Laurent A. Francis, Krzysztof Iniewski, Novel Advances in Microsystems Technologies and Their Applications, 2017
Miguel Hernandez-Silveira, Su-Shin Ang, Alison Burdett
Once an algorithm has been chosen, it is implemented using a programming language suitable for the target platform (e.g. ANSI or embedded C). At this stage, the application programming interface (API) functions should be defined. This step will ease the integration of the algorithm into the platform, as well as provide a common interface at the time of porting the algorithm across different platforms. For example, the algorithm may be implemented as a binary targeted at the eWARP 8051 processor contained in the TZ1031, a dynamic-linked library (DLL) that can be used on a PC platform or even as a ‘.MEX’ executable [8] that can be invoked for simulation purposes in the MATLAB environment. In these cases, the algorithm kernel is invoked by API functions that are defined in a common header file.
An Intelligent Deep Learning-Based Wireless Underground Sensor System for IoT-Based Agricultural Application
Published in Pethuru Raj Chelliah, Usha Sakthivel, Nagarajan Susila, Applied Learning Algorithms for Intelligent IoT, 2021
Priscilla Rajadurai, G. Jaspher W. Kathrine
The scope of this work is to show that the data can be transferred through soil wirelessly, to help the farmers to measure the moisture of the soil wirelessly and intimate the farmers through monitor, and to help maintain the soil moisture in the agriculture field. It also helps to water the soil when automatically the moisture of the soil reduces to certain level. It is done using WUSN sensor and the embedded C is needed in Arduino.
Cloud-connected real-time oil condition monitoring of utility transformers using impedance spectroscopy
Published in Instrumentation Science & Technology, 2021
Birhanu Alemayehu, Akash Kota, Amy Neidhard-Doll, Vamsy Chodavarapu, Guru Subramanyam
The prepared samples were analyzed according to the described procedures.[32] The interdigitated electrode is first immersed into an oil-filled plastic beaker. The leads of the electrodes are connected to the AD5933 board. An Arduino MKR Wi-Fi 1010 microcontroller is used as a master to control and command the AD5933. An embedded C++ program is written to set the amplitude of the sinusoid, initialize the starting frequency, perform the frequency sweep, and record the impedance measurements. The impedance spectrum of a sample is obtained by performing a frequency sweep from 5 to 98 kHz with a step size of 1 kHz. The frequencies which are ≥ 5 kHz and ≤50 kHz are considered to be low frequencies. Frequencies from 50 to 98 kHz are the high frequencies. The absolute complex impedance value is recorded at each excitation frequency.
Low profile single feed monopole antenna for quad-band circularly polarised applications
Published in International Journal of Electronics, 2019
Kunal Srivastava, Ashwani Kumar, B.K. Kanaujia, Santanu Dwari, Sachin Kumar
where a is the radius of the ring, is zero of the derivative of Bessel function, is the velocity of light, fr is the resonating frequency and ɛr is the relative permittivity. After optimisation, the outer radius of the rings is calculated as 16 mm, 13 mm, 10 mm, 7 mm and 3.4 mm (larger to smaller ring) for obtaining the resonating frequency bands. The half ring width L of the three outer rings is considered as 3 mm whereas the width of the fourth ring is optimised as 3.15 mm followed by the fifth ring with thickness 0.8 mm. The radius of the ground embedded C-slot is optimised as 21 mm (Figure 1(b)). The proposed antenna radiator is excited by means of a 50-ohm microstrip line as shown in Figure 1(a). The total size of the antenna is 36.8 × 60 × 1.59 mm3.
Design of a stabilisation platform for Parkinson’s disease patient
Published in Journal of Medical Engineering & Technology, 2018
Luay Fraiwan, Safi Amir, Fahad Ahmed, Junaid Halepota
This work describes the design of a cost-effect yet versatile stabilisation platform that can assist Parkinson’s disease patients with handling loads that are prone to spillage or breakage. It is comprised of a modular set-up of inertial measurement unit (IMU), microcontroller and servo motors, all three of which can be switched in and out for the parts best suiting a given application. At the heart of the design is the algorithm to be executed on the microcontroller – an embedded C programme that can retrieve data from a position sensor like an IMU and then instruct the motors to move counter to any changes in the sensor’s position. For the purposes of demonstration at this stage, the platform has been incorporated into a tray in which objects can be placed and carried without fear of dropping them. The details of the design of this platform, the design of the tray and the testing of the platform are expounded upon in this article.