Monitoring and Control of Component Transfer and Packing through Conveyors Using PLC, SCADA and Mobile Application

Stroke is a medical condition that is the fifth cause of death and a leading cause of disability. The different reasons for stroke are high B.P, obesity, smoking, etc. recovery can only be sped up by regular physiotherapy and willpower of the patient. Regular physiotherapy can be interrupted by other commitments of the patient or by the doctor's unavailability. This may lead to a delay in the recovery process. Therefore, the efforts are needed to tackle the problem. The proposed device can be used to monitor and carry out selected exercises advised by the doctor. Here the upper right limb is our focus because it is the most common area to be affected. Furthermore, android application is also designed which have different consoles for doctor and patient. The patient’s app shows the history and progress of the patient while the doctor sets the time and can also see the progress. Firstly, the unit tracks finger and wrist movements and the signal strength of the muscles being exercised, and then performs assisted flexion / extension manipulation of the limb. The results are shown in the app using the graphs so that the patient and the doctor can both monitor the progress. Thus, this design gives ease to the patient as well as the doctor. With the world shifting towards smart devices and remote monitoring and control, there is a need to apply modern technology in the health dept. using the platform of IOT, certain medical treatments can be made easier for the doctors and effective for the patients. By using different sensors, a microcontroller, Arduino software, mobile application, the patient’s physiotherapy exercises can be monitored, recorded and assisted.

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Mobile Application for the Monitoring and Control of Electrical Energy Consumption through a Meter Made with Arduino

International Journal of Emerging Technology and Advanced Engineering ◽

10.46338/ijetae0921_06 ◽

2021 ◽

Vol 11 (9) ◽

pp. 46-54

Author(s):

Keyla Nalvarte Dionisio ◽

◽

Carlos Diaz Nuñez ◽

Alexi Delgado ◽

Enrique Lee Huamaní

Keyword(s):

Energy Consumption ◽

Mobile Applications ◽

Mobile Application ◽

Electricity Consumption ◽

Electrical Energy ◽

Electrical Energy Consumption ◽

Monitoring And Control ◽

And Control ◽

Issue Reports

Abstract— This year, citizens were complaining that the power companies were overcharging their bills because of the pandemic, but investigations in previous years also showed claims in Peru and internationally. In this work, the Scrum Methodology was used for the development of the mobile application and the Balsamiq tool was used for the design of the prototype. In addition, the Arduino tool was used for the electricity consumption meter. As for the case study, we developed the prototypes of the application with its functions and the methodology of how it is elaborated, at the same time we described the way in which the meter will be implemented with Arduino. The results obtained from the research are that people can compare the consumption of the bill issued by the electricity company and the consumption shown by the Arduino meter, in addition to the union of the mobile application with the meter will allow them to consult the consumption and also issue reports having a better control of electricity. This work can be implemented not only in the cities, but also in remote places where traditional meters have not been implemented. Keywords— Arduino; Mobile applications; Power consumption; Scrum methodology

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Mobile Application and Wireless Sensor Network for Pipeline Monitoring and Control

International Journal of Industrial Engineering ◽

10.14445/23499362/ijie-v5i1p104 ◽

2018 ◽

Vol 5 (1) ◽

pp. 18-21

Author(s):

Sivi Varghese ◽

◽

Anandhu A Panicker ◽

Ashique Sunil Kumar ◽

Sang eeth M ◽

...

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Mobile Application ◽

Wireless Sensor ◽

Monitoring And Control ◽

Pipeline Monitoring ◽

And Control

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Mobile Application for the Monitoring and Control of the Diet in People with Anemia

2020 International Conference on e-Health and Bioengineering (EHB) ◽

10.1109/ehb50910.2020.9279877 ◽

2020 ◽

Author(s):

Michael Cabanillas-Carbonell ◽

Harold Nahuina-Balbuena ◽

Jhan Soto-Justiniano ◽

Oswaldo Casazola-Cruz

Keyword(s):

Mobile Application ◽

Monitoring And Control ◽

And Control

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Food Recognition System for Nutrition Monitoring

10.5753/eniac.2018.4415 ◽

2018 ◽

Author(s):

Charles N. C. Freitass ◽

Filipe R. Cordeiro ◽

Adenilton J. Da Silva

Keyword(s):

Deep Learning ◽

Mobile Application ◽

Recognition System ◽

Learning Method ◽

Monitoring And Control ◽

Data Set ◽

Food Recognition ◽

Food Monitoring ◽

Nutrition Monitoring ◽

And Control

This research consists of the analysis of the methods of image recognition, focusing on the problem of food classification, aiming to use the methods in a mobile application for the assistance in food monitoring and control. Thus, the development of the work contemplates the use of the deep learning method, focused on the recognition of food in images, with the use of neural convolution networks (CNN). For this purpose, a data set consisting of more than 1000 images and 5 food classes was constructed in order to simulate the SimpleNet, MiniVGGNet and Small Xception models, and thus define a learning model for food classification.

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Low-cost wireless sensor network applied to real-time monitoring and control of water consumption in residences

Ambiente e Agua - An Interdisciplinary Journal of Applied Science ◽

10.4136/ambi-agua.2407 ◽

2019 ◽

Vol 14 (6) ◽

pp. 1

Author(s):

Arnon Jadir Rodrigues Alves ◽

Leandro Tiago Manera ◽

Marcel Veloso Campos

Keyword(s):

Wireless Sensor Network ◽

Real Time ◽

Sensor Network ◽

Water Consumption ◽

Mobile Application ◽

Low Cost ◽

Wireless Sensor ◽

Monitoring And Control ◽

Real Time Monitoring ◽

And Control

The objective of this work is to explore the implementation of a low-cost real-time monitoring and control of water consumption together with a user feedback interface. Water usage information will be available in a cloud storage and can be accessed through a mobile application. The collected data allows access and supervision of both client- and water concessionaire. Project feasibility is analyzed in terms of hardware and software, as well as each element required for the design. The simulations were carried out with the purpose of verifying system operation, considering the following metrics: transmission rate, signal strength and transmission quality. After the simulations, the hardware and software were integrated, and the final result was presented through a mobile application. This work presents and applies a design and development methodology of Wireless Sensor Network (WSN) using Internet of Things (IoT) technologies and Smart City in water-distribution systems.

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Mobile application for the detection of black Sigatoka

Visión electrónica ◽

10.14483/22484728.15906 ◽

2020 ◽

Vol 14 (1) ◽

pp. 111-118

Author(s):

Yurley Tatiana Tovar-Martínez ◽

Arley Bejarano-Martínez ◽

Andrés Felipe Calvo-Salcedo

Keyword(s):

Computer Vision ◽

User Interface ◽

Mobile Application ◽

Manual Segmentation ◽

Monitoring And Control ◽

Black Sigatoka ◽

Affected Area ◽

Rms Error ◽

And Control ◽

Banana Crop

Black Sigatoka is one of the main problems that affect the quality and production of the banana crop, it´s because of this, the development of systems to detect diseases, generate an important tool for the monitoring and control carried out by the farmer. The proposed system leverages hardware on mobile devices to implement computer vision techniques to determine the percentage of affected area of the plant. The smartphone is used to acquire data and capture the disease through images. The detection of diseased pixels is then performed through a segmentation algorithm with histogram analysis. A model for the calculation of the affected area is then computed. Finally, the information is presented through the user interface. To validate the proposed method, a database is created with images taken by the application to compare it´s efficiency through the RMS error between manual segmentation and the result of the algorithm. Finally, usability and response time tests are performed.

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Computers for data, control and simulation

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100106661 ◽

1988 ◽

Vol 46 ◽

pp. 920-921

Author(s):

David C. Joy

Keyword(s):

Personal Computers ◽

Monitoring And Control ◽

Data Logging ◽

Data Logger ◽

Operational Conditions ◽

Data Control ◽

The Many ◽

And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

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