In this work we detailed present the data collecting system (DCS), designed and optimized for use with a helium neutron counter even under very challenging environmental conditions. The DCS, in ...addition to its simplicity, allows for the flexible configuration of multiple DCS units into a single measurement system and can also interface with various types of detectors and different data acquisition systems as per the experimental requirements. The main advantages of the presented DCS include its autonomy, remote control capability, and modularity. The pulse shape analysis procedure employed within the DCS enhances measurement sensitivity, which is crucial for detecting extremely low neutron fluxes, such as those in underground laboratories.
Technological developments are used to provide product quality assurance and provide goods and services to consumers. Product quality is a condition related to the product, where the product could ...meet the needs and satisfaction of consumers. Product quality assurance, could be supported from raw materials, processes to distribution. This condition requires a tool that is able to control or monitor agricultural products by utilizing technology, namely the Internet of Things (IoT) using temperature, humidity, vibration, carbon dioxide (CO2) sensors and GPS that is able to show the location when the distribution process takes place in real time. The purpose of this study was to design and performance monitoring tools for temperature, humidity, vibration, carbon dioxide (CO2) and location during the distribution process. The results of the field test showed that the GPS sensor was able to show the location in real time according to the delivery route. The results of recording the highest temperature data was 30.8°C and the lowest temperature was 27.8°C, while the lowest humidity was 80% RH and the highest was 94% RH. The recording results from the SW-420 sensor showed that 51.04% for small vibration, 19.79% for medium vibration, and 28.64% for large vibration. The recording results from the MQ-2 sensor was able to show the carbon dioxide value around the tomatoes, with the lowest carbon dioxide with the value of 10% and the highest with the value of 23%.
This Letter reports a new no-equilibrium chaotic system with hidden attractors and coexisting attractors. Bifurcation diagram shows that the proposed system generates chaos through period-doubling ...bifurcation with the variation of system parameters, and the hidden chaotic and periodic attractors are visually given by phase portraits. The coexisting chaotic and periodic attractors from different initial conditions are observed in the system. The analogue circuit realisation and microcontroller-based experimental implementation of the system are given to verify its physical existence.
A new technique to measure a capacitor or a capacitive sensor by means of a direct sensor-to-microcontroller interface circuit that does not need a calibration capacitor is proposed. Basically, the ...measurement process consists of three consecutive steps of charge, discharge and charge of the capacitor under test. A non-linear equation is obtained and solved that is dependent only on known circuit parameters. Experimental results show that it is possible to measure a wide range of capacitor values with a maximum deviation of 2% from the reference value, and that temperature changes from 18 to 70°C yield relative errors below 0.1%. For the lowest measured capacitor range (33 pF–4.7 nF) the uncertainty holds below 1 pF which enables measurement of commercially available capacitive sensors. The main advantage of the proposed technique is cost and space reduction of the final design.
The purpose of this study is to design a tool that is able to monitor moisture and light automatically and knowing the performance of lettuce seeding tools that are able to monitor moisture and light ...automatically, this research is descriptive research using the type of Research and Development (R D) research with the Waterfall method. The variables controlled are light and moisture using soil moisture sensors and grow light. The automatic seedling tool modification process consists of 3 stages including making mechanical components, electronic comments, and functional checking and product testing. The data obtained from the sensor readings will be displayed through the LCD screen on the control box. The results showed that the seedling tool can monitor moisture when the moisture is below 60%, the pump will be on and when the moisture is above 60%, the pump will be off, and the light produced with grow light will turn on at 06.00 to 18.00 pm every day. Researchers recommend adding moisture to every shelf, growing lights or LED sensor lights, and fans for further research based on their findings. As a consideration and reference resource addressing the current science on the manufacture and performance test of seedling tools that are able to monitor moisture and light automatically. incorporating the most recent ideas and information on creating and evaluating seedling equipment with automatic light and moisture monitoring. It is anticipated that this researcher will serve as a seeding industry reference.
Recently, chaotic maps have been considered to design pseudorandom number generator (PRNG). However, some chaotic maps present security disadvantages, such as low uniformity and low randomness ...properties. Nowadays, chaos-based PRNGs are used as the main source for the development of cryptographic algorithms. In this work, to overcome such weaknesses, a novel 2D hyperchaotic map is proposed based on discrete-time feedback by using Hénon map and Sine map. In addition, the dynamics of the hyperchaotic map are enhanced by using the remainder after division function (
rem
), where better random statistical properties are obtained. A comparison is made between the enhanced Hénon-Sine hyperchaotic map (EHSHM) and the Hénon-Sine hyperchaotic map through Lyapunov exponent analysis, attractor trajectory, histograms and sensitivity at initialization. Then, 8-bit pseudorandom number generator based on the proposed hyperchaotic map (PRNG–EHSHM) is designed and the initial seed of the PRNG is calculated by a secret key of 60 hexadecimal characters. It is implemented in both MATLAB and Arduino Mega microcontroller for experimental results. A complete security analysis is presented from a cryptographic point of view, such as key space, floating frequency, histograms and entropy of the information. Moreover, the randomness is verified with the tests of the National Institute of Standards and Technology (NIST 800-22). Based on the security results obtained, the proposed PRNG–EHSHM can be implemented in embedded cryptographic applications based on chaos.
In this paper, a resolution enhancement method for direct interfacing of inductive sensors, without employing analog-to-digital converter and/or external driver circuit, is presented. In order to ...achieve better resolution with minimum relative error and current consumption factors, different schemes are implemented which vary in terms of: 1) step-input voltage provision methodology, i.e., through microcontroller (<inline-formula> <tex-math notation="LaTeX">\mu \text{C} </tex-math></inline-formula>) pin or through external supply; 2) number of switches used; and 3) method of voltage detection, i.e., either using capture module or employing built-in comparator only. The maximum achievable resolution limits are explored by reducing the lower reference voltage (<inline-formula> <tex-math notation="LaTeX">\text{V}_{\mathrm {Ref L}} </tex-math></inline-formula>) in case of detection through built-in analog comparator and/or reducing the series resistance. The one-point calibration technique is used to determine the accuracy. The experiments are performed at 16-MHz clock frequency in the inductance range of: 1) 10-100 <inline-formula> <tex-math notation="LaTeX">\mu \text{H} </tex-math></inline-formula> and 2) 100-1000 <inline-formula> <tex-math notation="LaTeX">\mu \text{H} </tex-math></inline-formula>. The results show that in the limits of a maximum current sourcing/sinking capacity of a typical <inline-formula> <tex-math notation="LaTeX">\mu \text{C} </tex-math></inline-formula>, i.e., 40 mA, the proposed methodology enhances the resolution to <inline-formula> <tex-math notation="LaTeX">4~\mu \text{H} </tex-math></inline-formula> with a relative error of 1.2 in the percentage of full-scale span (%FSS). The maximum nonlinearity error in %FSS for inductance range 10-100 <inline-formula> <tex-math notation="LaTeX">\mu \text{H} </tex-math></inline-formula> and 100-1000 <inline-formula> <tex-math notation="LaTeX">\mu \text{H} </tex-math></inline-formula> is 1.1% and <0.4%, respectively.
TESLA SWITCH OF 4 BATTERIES BASED ON THE ARDUINO UNO BOARD Polishchuk, Mykola; Grinyuk, Serhii; Kostiuchko, Serhii ...
Informatyka, automatyka, pomiary w gospodarce i ochronie środowiska,
09/2023, Letnik:
13, Številka:
3
Journal Article
Recenzirano
Odprti dostop
The paper considered the theoretical information of generators for several power sources, schematic their solutions, and the main disadvantages and advantages. A generator for 4 batteries based on ...field-effect transistors with optical galvanic isolation and a clock generator built on the basis of the Atmega328 microcontroller, which is part of the Arduino Uno device, was studied. The result of the study was the confirmation of the existence of the "Tesla-switch" effect. A program code was developed for the alternate switching of six transistor switches of the optical decoupling. The structural diagram of the device was studied, and the influence of the generator frequency and the consumed power of the load on the output parameters of the device were determined. The considered idea of energy saving and environmental friendliness of power supply systems is relevant, in particular in cases of blackouts.
In this work, the authors present results for classification of different classes of targets (car, single and multiple people, bicycle) using automotive radar data and different neural networks. A ...fast implementation of radar algorithms for detection, tracking, and micro-Doppler extraction is proposed in conjunction with the automotive radar transceiver TEF810X and microcontroller unit SR32R274 manufactured by NXP Semiconductors. Three different types of neural networks are considered, namely a classic convolutional network, a residual network, and a combination of convolutional and recurrent network, for different classification problems across the four classes of targets recorded. Considerable accuracy (close to 100% in some cases) and low latency of the radar pre-processing prior to classification (∼0.55 s to produce a 0.5 s long spectrogram) are demonstrated in this study, and possible shortcomings and outstanding issues are discussed.
Abstract
Alzheimer is a neurological degenerative disease that steadily and gradually progresses. This disease is incurable at present and those who suffer from it have the hesitation to travel ...beyond their homes in comparison to normal people. The main aim of this paper is to offer a continuous mechanism that enhances the Alzheimer patient’s quality of life as well as that of their caregivers. Proposed work is based on the Internet of things (IoT) based sensors data that figure out different parameters of the patient body like temperature, blood pressure, striding action, striding speed, and so on. All these sensory data will be obtained with the help of the Atmega Microcontroller. All the collected data are then sent to the cloud server with the help of parallel communication for data analysis. The desired parameter of the patient is retrieved which will help in providing real time support to the patients.
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