scholarly journals Implementation of IoT With Image Processing in Greenhouse Monitoring System

2019 ◽  
Vol 8 (9) ◽  
pp. 509-514
Keyword(s):  
Low Cost ◽  
Infected Plant ◽  
Threshold Value ◽  
Plant Diseases ◽  
Raspberry Pi ◽  
Small Scale ◽  
Automation System ◽  
Plant Leaves ◽  
Prototype Development ◽  
And Control

Greenhouse automation system using Internet of Things (IoT) is a technical approach that benefits farmers by the automation and control of the greenhouse environment including plants health monitoring. Farmers' activities in the greenhouse are considered important in terms of producing strategic food for the population. In general, greenhouses are usually affected by the weather and plant diseases, as a result, their yield can be minimized and thus income is reduced. Through the analysis of the current situation of small-scale greenhouses, this paper proposes a low-cost solution for controlling, identifying, and classifying of infected plant leaves and automation of agricultural greenhouse. Design and prototype development of the proposed project has been done using Raspberry Pi, NODE MCU SP8266, different sensors and MATLAB. The programming language, MATLAB, is used to classify infected plant leaves, and sensors have been used to measure temperature and humidity of the greenhouse environment. In addition, controlling of actuators have been attained through solid state relays in order to turn the water drip system on or off upon reaching the predetermined threshold value. Finally, the greenhouse farmers interact with the proposed system via the cloud-based platform. This greenhouse automation system will benefit greenhouse farmers by enabling them to automatically monitor and control the greenhouse environment without their direct supervision.

scholarly journals Designing of an Advanced Compression Bioreactor with an Implementation of a Low-Cost Controlling System Connected to a Mobile Application

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 915
Author(s):  
Gözde Dursun ◽  
Muhammad Umer ◽  
Bernd Markert ◽  
Marcus Stoffel
Keyword(s):  
Mobile Application ◽  
Low Cost ◽  
Experimental Information ◽  
Raspberry Pi ◽  
Tissue Constructs ◽  
Cost Controlling ◽  
Controlling System ◽  
And Control ◽  
Tissue Models

(1) Background: Bioreactors mimic the natural environment of cells and tissues by providing a controlled micro-environment. However, their design is often expensive and complex. Herein, we have introduced the development of a low-cost compression bioreactor which enables the application of different mechanical stimulation regimes to in vitro tissue models and provides the information of applied stress and strain in real-time. (2) Methods: The compression bioreactor is designed using a mini-computer called Raspberry Pi, which is programmed to apply compressive deformation at various strains and frequencies, as well as to measure the force applied to the tissue constructs. Besides this, we have developed a mobile application connected to the bioreactor software to monitor, command, and control experiments via mobile devices. (3) Results: Cell viability results indicate that the newly designed compression bioreactor supports cell cultivation in a sterile environment without any contamination. The developed bioreactor software plots the experimental data of dynamic mechanical loading in a long-term manner, as well as stores them for further data processing. Following in vitro uniaxial compression conditioning of 3D in vitro cartilage models, chondrocyte cell migration was altered positively compared to static cultures. (4) Conclusion: The developed compression bioreactor can support the in vitro tissue model cultivation and monitor the experimental information with a low-cost controlling system and via mobile application. The highly customizable mold inside the cultivation chamber is a significant approach to solve the limited customization capability of the traditional bioreactors. Most importantly, the compression bioreactor prevents operator- and system-dependent variability between experiments by enabling a dynamic culture in a large volume for multiple numbers of in vitro tissue constructs.

ROUTING IMPLEMENTATION BASED-ON SOFTWARE DEFINED NETWORK USING RYU CONTROLLER AND OPENVSWITCH

2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Yuli Sun Hariyani ◽  
Indrarini Dyah Irawati ◽  
Danu Dwi S. ◽  
Mohammad Nuruzzamanirridha
Keyword(s):  
Control Function ◽  
Raspberry Pi ◽  
Small Scale ◽  
Software Defined Network ◽  
Standard Protocol ◽  
Open Flow ◽  
Control Functions ◽  
Forward Function ◽  
And Control ◽  
Sdn Controller

Open Flow is a standard protocol for differentiating forward function and control functions to facilitate the management of big network of SDN. The research have been carried out before using the emulator SDN Mininet. However Mininet has many shortcomings, such as the performance of which is less than the maximum due to simulation. Then some researchers also use the Net-FPGA as device. This device is less suitable for small scale because the prices are quite expensive and programming is quite complicated. In this study, SDN implementation carried out using OpenvSwitch as forwarding function mounted on TP-Link that has modificated using openwrt as firmware and Raspberry Pi with Ryu SDN Controller as control functions. The result shows that routing static can be implemented on SDN Network which use Raspberry Pi with Ryu Controller as control function with average bandwith 536.0909 Mbits/sec and average uptime network is 10.45 second.

scholarly journals Photovoltaic System as a Remote Didactic Laboratory for Electrical Engineering Courses

2015 ◽  
Vol 11 (4) ◽  
pp. 39 ◽  
Author(s):  
Dario Assante ◽  
Massimo Tronconi
Keyword(s):  
Low Cost ◽  
Electrical Engineering ◽  
Remote Access ◽  
Photovoltaic System ◽  
Raspberry Pi ◽  
Small Scale ◽  
Solar Panels ◽  
Academic Courses ◽  
Dummy Load ◽  
A Charge

Remote laboratories are increasingly being used in academic courses, especially in science and engineering. New control systems allow the development of even complex experiments with a low cost. In this paper we present a remote laboratory that reproduces a small-scale photovoltaic system, including a solar panels and lights, a charge controller, a battery and a dummy load. A Raspberry PI microcontroller is used to send the different inputs to the laboratory, handling commands, measuring some electrical quantities and provide remote access via the web. The laboratory, developed with the involvement of graduating students, will be used in the Master courses of electrical engineering. Particular attention has been paid on the development of hardware and software, to use the developed laboratory as a model for the realization of other experiments.

Task-Allocation and Control of a Ground Robots Collective for Warehouse Automation

2015 ◽  
Author(s):  
Mehmet Ali Guney ◽  
Ioannis Raptis
Keyword(s):  
System Architecture ◽  
Task Allocation ◽  
Arbitrary Number ◽  
Small Scale ◽  
Automation System ◽  
Test Bed ◽  
Allocation Algorithm ◽  
Automation Systems ◽  
Algorithmic Design ◽  
And Control

In the last years, there have been several attempts to deploy Autonomous Guided Vehicles (AGVs) to automate the operation of warehouse environments. The implementation of AGVs has numerous advantages over conventional warehouse automation systems in terms of cost and scalability. In this work, we present the development of a test-bed platform for the utilization of an AGV collective to a warehouse automation system. The system architecture has plug-and-play algorithmic design which makes it extremely modular. In this system, small-scale robotic forklifts are used to transport an arbitrary number of circular pallets to predefined locations. The forklift robots are able to move in the arena without colliding each other due to the implementation of a centralized deconfliction algorithm. A task allocation algorithm prevents the forklift drives from being trapped by a fence of pallets. The performance of the proposed system is validated by both simulation and experimental results.

scholarly journals High-availability on-site deployment to heterogeneous architectures for Project 8 and ADMX

2020 ◽  
Vol 245 ◽  
pp. 07029
Author(s):  
Benjamin LaRoque
Keyword(s):  
Coupling Parameter ◽  
Low Cost ◽  
Rapid Development ◽  
High Availability ◽  
Raspberry Pi ◽  
Development Environment ◽  
Heterogeneous Architectures ◽  
Active Research ◽  
Support Software ◽  
And Control

Project 8 is applying a novel spectroscopy technique to make a precision measurement of the tritium beta-decay spectrum, resulting in either a measurement of or further constraint on the effective mass of the electron antineutrino. ADMX is operating an axion haloscope to scan the mass-coupling parameter space in search of dark matter axions. Both collaborations are executing medium-scale experiments, where stable operations last for three to nine months and the same system is used for development and testing between periods of operation. It is also increasingly common to use low-cost computing elements, such as the Raspberry Pi, to integrate computing and control with custom instrumentation and hardware. This leads to situations where it is necessary to support software deployment to heterogeneous architectures on rapid development cycles while maintaining high availability. Here we present the use of docker containers to standardize packaging and execution of control software for both experiments and the use of kubernetes for management and monitoring of container deployment in an active research and development environment. We also discuss the advantages over more traditional approaches employed by experiments at this scale, such as detached user execution or custom control shell scripts.

scholarly journals A Low-Cost, Ear-Contactless Electronic Stethoscope Powered by Raspberry Pi for Auscultation of Patients With COVID-19: Prototype Development and Feasibility Study

10.2196/22753 ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. e22753
Author(s):  
Chuan Yang ◽  
Wei Zhang ◽  
Zhixuan Pang ◽  
Jing Zhang ◽  
Deling Zou ◽  
...  
Keyword(s):  
Real Time ◽  
Heart Diseases ◽  
Low Cost ◽  
Pearson Correlation ◽  
Raspberry Pi ◽  
Respiratory Sounds ◽  
Respiratory Dysfunction ◽  
Electronic Stethoscope ◽  
Prototype Development ◽  
Amplitude Data

Background Chest examination by auscultation is essential in patients with COVID-19, especially those with poor respiratory conditions, such as severe pneumonia and respiratory dysfunction, and intensive cases who are intubated and whose breathing is assisted with a ventilator. However, proper auscultation of these patients is difficult when medical workers wear personal protective equipment and when it is necessary to minimize contact with patients. Objective The objective of our study was to design and develop a low-cost electronic stethoscope enabling ear-contactless auscultation and digital storage of data for further analysis. The clinical feasibility of our device was assessed in comparison to a standard electronic stethoscope. Methods We developed a prototype of the ear-contactless electronic stethoscope, called Auscul Pi, powered by Raspberry Pi and Python. Our device enables real-time capture of auscultation sounds with a microspeaker instead of an earpiece, and it can store data files for later analysis. We assessed the feasibility of using this stethoscope by detecting abnormal heart and respiratory sounds from 8 patients with heart failure or structural heart diseases and from 2 healthy volunteers and by comparing the results with those from a 3M Littmann electronic stethoscope. Results We were able to conveniently operate Auscul Pi and precisely record the patients’ auscultation sounds. Auscul Pi showed similar real-time recording and playback performance to the Littmann stethoscope. The phonocardiograms of data obtained with the two stethoscopes were consistent and could be aligned with the cardiac cycles of the corresponding electrocardiograms. Pearson correlation analysis of amplitude data from the two types of phonocardiograms showed that Auscul Pi was correlated with the Littmann stethoscope with coefficients of 0.3245-0.5570 for healthy participants (P<.001) and of 0.3449-0.5138 among 4 patients (P<.001). Conclusions Auscul Pi can be used for auscultation in clinical practice by applying real-time ear-contactless playback followed by quantitative analysis. Auscul Pi may allow accurate auscultation when medical workers are wearing protective suits and have difficulties in examining patients with COVID-19. Trial Registration ChiCTR.org.cn ChiCTR2000033830; http://www.chictr.org.cn/showproj.aspx?proj=54971.

Development of Parallel Architecture Spatial Compliant Manipulators

2001 ◽  
Author(s):  
S. L. Canfield ◽  
J. W. Beard ◽  
R. D. Parsons ◽  
N. Lobontiu ◽  
M. Paine ◽  
...  
Keyword(s):  
Low Cost ◽  
Parallel Architecture ◽  
Parallel Manipulators ◽  
Structure Design ◽  
Degree Of Freedom ◽  
Small Scale ◽  
Compliant Structure ◽  
Compliant Joints ◽  
Kinematic Models ◽  
And Control

Abstract This paper will present the development of two spatial compliant manipulators suitable for fabrication at a miniature or micro level and positioning on a micro or nano scale. These compliant manipulators are based on a parallel architecture that provides rotational motion about two axes and translations in one to three directions. These compliant devices form the first in a class of such compliant manipulators that combine the characteristics of parallel manipulators with the low cost, small-scale capabilities resulting from a compliant structure design. These manipulators will be developed as lumped-compliance devices, having architectures with relatively rigid links and compliant joints designed to render nearly equivalent kinematic motion. Appropriate kinematic models are developed for design and control. The work is then demonstrated through development of a 3 degree-of-freedom miniature compliant manipulator (MCM) and a five degree-of-freedom (dof) compliant manipulator for micro-pointing applications.

scholarly journals An Approach to Industrial Automation Based on Low-Cost Embedded Platforms and Open Software

2020 ◽  
Vol 10 (14) ◽  
pp. 4696 ◽  
Author(s):  
Luis I. Minchala ◽  
Jonnathan Peralta ◽  
Paul Mata-Quevedo ◽  
Jaime Rojas
Keyword(s):  
Fault Detection ◽  
Open Source ◽  
Low Cost ◽  
Fault Detection And Diagnosis ◽  
Raspberry Pi ◽  
Enabling Factors ◽  
Pid Algorithm ◽  
Embedded Platforms ◽  
Detection And Diagnosis ◽  
And Control

This paper presents a performance evaluation of the development of the instrumentation, communications and control systems of a two-tank process by using low-cost hardware and open source software. The hardware used for automating this process consists of embedded platforms (Arduino and Raspberry Pi) integrated into programmable logic controllers (PLCs), which are connected to a supervisory control and data acquisition (SCADA) system implemented with an open source Industrial Internet of Things (IIoT) platform. The main purpose of the proposed approach is to evaluate low-cost automation solutions (hardware and software) within the framework of modern industry requirements in order to determine whether these technologies could be enabling factors of IIoT. The proposed control strategy for regulating tank levels combines the classic PID algorithm and the fuzzy gain scheduling PID (FGS-PID) approach. Fault detection capabilities are also enabled for the system through a fault detection and diagnosis module (FDD) implemented with an extended Kalman filter (EKF). The distributed controller’s (DC) algorithms are embedded into the PLC’s processors in order to demonstrate the flexibility of the proposed system. Additionally, a remote human to machine interface (HMI) is deployed through a web client of the IIoT application. Experimental results show the proper operation of the overall system.

scholarly journals A review on industrial automation system

2018 ◽  
Vol 7 (2.7) ◽  
pp. 398 ◽  
Author(s):  
Kranthi Madala ◽  
Dr K.V. Daya Sagar
Keyword(s):  
High Speed ◽  
Low Cost ◽  
Remote Access ◽  
Automation System ◽  
Wireless Internet ◽  
Industrial Systems ◽  
Cost System ◽  
Advanced Technologies ◽  
Control Devices ◽  
And Control

The prospect to build robust industrial systems & applications in the field of RFID, mobile &sensor devices, wireless, Internet of Things (IOT) has been provided. In very modern years many IOT applications have been increasingly developed and deployed. In our day to day life controlling and monitoring plays a major role now a days. Using advanced technologies we can monitor and control everything. Be-cause of high speed internet a wonderful feature that came into picture is Remote access. The main objective of this proposed system is for those who are away from their industry and want to control devices by providing technology oriented and low cost system.  

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