scholarly journals POST STROKE REHABILITATION DEVICE

2021 ◽  
Author(s):  
Naveed Shahzad
Keyword(s):  
Mobile Application ◽  
Medical Condition ◽  
Recovery Process ◽  
Modern Technology ◽  
Smart Devices ◽  
Monitoring And Control ◽  
Medical Treatments ◽  
Flexion Extension ◽  
Common Area ◽  
And Control

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.

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

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

Mobile Application and Wireless Sensor Network for Pipeline Monitoring and Control

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

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

2020 ◽  
Author(s):  
Michael Cabanillas-Carbonell ◽  
Harold Nahuina-Balbuena ◽  
Jhan Soto-Justiniano ◽  
Oswaldo Casazola-Cruz
Keyword(s):  
Mobile Application ◽  
Monitoring And Control ◽  
And Control

scholarly journals An Intelligent Smart Plug with Shared Knowledge Capabilities

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3961 ◽  
Author(s):  
Luis Gomes ◽  
Filipe Sousa ◽  
Zita Vale
Keyword(s):  
Remote Monitoring ◽  
Low Cost ◽  
Resource Optimization ◽  
Management Systems ◽  
Smart Devices ◽  
Shared Knowledge ◽  
Monitoring And Control ◽  
Energy Management Systems ◽  
And Control

The massive dissemination of smart devices in current markets provides innovative technologies that can be used in energy management systems. Particularly, smart plugs enable efficient remote monitoring and control capabilities of electrical resources at a low cost. However, smart plugs, besides their enabling capabilities, are not able to acquire and communicate information regarding the resource’s context. This paper proposes the EnAPlug, a new environmental awareness smart plug with knowledge capabilities concerning the context of where and how users utilize a controllable resource. This paper will focus on the abilities to learn and to share knowledge between different EnAPlugs. The EnAPlug is tested in two different case studies where user habits and consumption profiles are learned. A case study for distributed resource optimization is also shown, where a central heater is optimized according to the shared knowledge of five EnAPlugs.

RKH SPACE METHODS FOR LOW LEVEL MONITORING AND CONTROL OF NONLINEAR SYSTEMS

1996 ◽  
Vol 06 (01) ◽  
pp. 77-96 ◽  
Author(s):  
ALAN COVER ◽  
JAMES RENEKE ◽  
MICHAEL FRYER ◽  
SUZANNE LENHART ◽  
VLADIMIR PROTOPOPESCU
Keyword(s):  
Reproducing Kernel ◽  
Control Function ◽  
Reproducing Kernel Hilbert Space ◽  
Smart Devices ◽  
Monitoring And Control ◽  
Low Level ◽  
Stochastic Linearization ◽  
Control Devices ◽  
Computational Resources ◽  
And Control

A monitor or controller is smart provided that the device is equipped with local computational resources for analyzing data, detecting changes, and making decisions. The problem for the monitoring function is to design algorithms to flag model shifts for dynamic systems in a context requiring many interacting system components and system reconfigurations. The problem for the control function is to improve system performance by updating control feedbacks after the model shift has been detected. Therefore it is desirable that smart monitors and controllers be adaptive and update with minimal intervention from a central director. We present here an approach to designing smart monitoring and control devices based on a stochastic linearization of the system whose dynamics is noisy and unknown. This linearization is obtained by factoring the discrete system covariance matrix, estimated from observations, and applying reproducing kernel Hilbert space techniques. The method is nonparametric which allows the smart devices to operate with only a low level logic.

scholarly journals Trends in Development and Integration of ITS

2020 ◽  
Vol 66 (3) ◽  
pp. 33-40
Author(s):  
Gordana Radivojević ◽  
Gorana Šormaz ◽  
Bratislav Lazić
Keyword(s):  
New Technologies ◽  
Big Data Analytics ◽  
Smart Devices ◽  
Social Changes ◽  
Monitoring And Control ◽  
Transport Services ◽  
System Functioning ◽  
Physical Objects ◽  
Different Characteristics ◽  
And Control

ITS applications are used in different traffic and transportation segments and enable processes automatization, acquizition and processing of large amounts of data, real time monitoring and control, providing services to clients etc. The main aims of the ITS introduction are the improvement of the trafic and transportation system functioning and of the provided services for clients. The ICT development has enabled the usage of the large number of smart devices, which can generate different characteristics of physical objects and exchange data with other devices and systems. This has led to the IoT concept in which the intelligent management of physical objects, based on processing and analyse of the large amounts of data, is possible. The aim of this paper is the review of the latest trends in the ITS systems’ development in the context of new technologies, social changes and users’ requests. In the paper there are described the ITS, the IoT and the Big Data analytics, which enable the intelligent transport services provided to the clients.

scholarly journals Food Recognition System for Nutrition Monitoring

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.

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

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.

scholarly journals Mobile application for the detection of black Sigatoka

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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