scholarly journals Autonomous metering system for monitoring water consumption

2021 ◽  
Author(s):  
E. B. Rizzo ◽  
F. A. Cousin ◽  
R. M. Lucca ◽  
S. R. Lautenschlager
Keyword(s):  
Sensor Network ◽  
Water Consumption ◽  
Water Scarcity ◽  
Autonomous System ◽  
Smartphone Application ◽  
Microwave Oven ◽  
Flow Sensors ◽  
Zigbee Technology ◽  
Smart House

Abstract Faced with water scarcity and its rising costs, it is necessary to use it in a rational way. This study proposes the development of an autonomous system of water monitoring in condominiums (smart house), through meters that use turbine flow sensors and ZigBee technology for sending data to a coordinator, allowing monitoring of the consumption at various points of a building in almost real time. Users can read the consumed volume throughout a smartphone application. This stimulates a more rational way of using water, besides allowing to alert for leaks in pipes, faucets, showers and toilets. The accuracy of this sensor was compared with a mechanical flow meter and an ultrasonic sensor in the laboratory, all presenting errors smaller than 10% of readings for water flow above 2 L/min. The quality of the ZigBee network was analysed, in terms of interference with Wi-Fi, Bluetooth devices and a microwave oven, to assess if there are data losses in the sensor network and only Bluetooth caused losses, showing robustness in the combined ZigBee and Wi-Fi.

scholarly journals Design and Implementation of a Contactless Smart House Network System

2018 ◽  
Vol 8 (6) ◽  
pp. 4663
Author(s):  
Mohammed Issam Younis ◽  
Taif Fadhil Hussein
Keyword(s):  
Wireless Communication ◽  
Raspberry Pi ◽  
The Internet ◽  
Network System ◽  
Design And Implementation ◽  
Zigbee Technology ◽  
High Power Consumption ◽  
Smart House ◽  
Main Station

The Internet of Things (IoT) technology is every object around us and it is used to connect these objects to the Internet to verify Machine to Machine (M2M) communication. The smart house system is the most important application of IoT technology; it is increase the quality of life and decrease the efforts. There were many problems that faced the existing smart house networking systems, including the high cost of implementation and upgrading, high power consumption, and supported limited features. Therefore, this paper presents the design and implementation of smart house network system (SHNS) using Raspberry Pi and Arduino platforms as network infrastructure with ZigBee technology as wireless communication. SHNS consists of two main parts: the main station part and the wireless house nodes part. The local wireless communication between the house nodes and the main station is done through ZigBee technology with low power and low data rate. The mode of operation of these house nodes can be configured dynamically by the end user and determined multicast or broadcast operation according to the user requirements. The implementation and upgrading of SHNS are costless, flexible and required less power comparing with other reviewed systems.

scholarly journals ECOCAPTURE@HOME: Protocol for the Remote Assessment of Apathy and Its Everyday-Life Consequences

2021 ◽  
Vol 18 (15) ◽  
pp. 7824
Author(s):  
Valérie Godefroy ◽  
Richard Levy ◽  
Arabella Bouzigues ◽  
Armelle Rametti-Lacroux ◽  
Raffaella Migliaccio ◽  
...  
Keyword(s):  
Everyday Life ◽  
New Technologies ◽  
Electrodermal Activity ◽  
Real Life ◽  
Smartphone Application ◽  
Measurement Model ◽  
Strong Impact ◽  
Active Data ◽  
Personalised Treatment

Apathy, a common neuropsychiatric symptom associated with dementia, has a strong impact on patients’ and caregivers’ quality of life. However, it is still poorly understood and hard to define. The main objective of the ECOCAPTURE programme is to define a behavioural signature of apathy using an ecological approach. Within this program, ECOCAPTURE@HOME is an observational study which aims to validate a method based on new technologies for the remote monitoring of apathy in real life. For this study, we plan to recruit 60 couples: 20 patient-caregiver dyads in which patients suffer from behavioral variant Fronto-Temporal Dementia, 20 patient-caregiver dyads in which patients suffer from Alzheimer Disease and 20 healthy control couples. These dyads will be followed for 28 consecutive days via multi-sensor bracelets collecting passive data (acceleration, electrodermal activity, blood volume pulse). Active data will also be collected by questionnaires on a smartphone application. Using a pool of metrics extracted from these passive and active data, we will validate a measurement model for three behavioural markers of apathy (i.e., daytime activity, quality of sleep, and emotional arousal). The final purpose is to facilitate the follow-up and precise diagnosis of apathy, towards a personalised treatment of this condition within everyday life.

Screening Youth Soccer Players by Means of Cognitive Function and Agility Testing

2021 ◽  
pp. 003151252110402
Author(s):  
Nicola Lovecchio ◽  
Gianluca Manes ◽  
Luca Filipas ◽  
Matteo Giuriato ◽  
Antonio La Torre ◽  
...  
Keyword(s):  
Motor Skills ◽  
Smartphone Application ◽  
Inhibitory Response ◽  
Soccer Players ◽  
Early Age ◽  
Unique Combination ◽  
Simple Method ◽  
Gross Motor Skills ◽  
Youth Soccer

Talent identification in sports is a heavily debated topic. Previous studies have separately explored either executive functions or gross motor skills to predict the success of top-level soccer players or, more generally, to characterize elite performance in soccer. However, at mid-childhood, the possibility to scope sport-specific requirements remains elusive. We aimed in this study to investigate a valid and simple method of testing for a unique combination of cognitive and speed abilities for identifying promising soccer players at mid-childhood. We measured cognitive functions by means of a Stroop smartphone application and agility with a T-Drill Ball-success test, in two groups of (a) elite- ( n = 31) and (b) low-division ( n = 37) Italian 7-year-old male soccer players. We administered the tests in a randomized order to both groups. We found better inhibitory control, cognitive flexibility and soccer-specific agility in high-division versus low-division players ( p < .001). Inhibitory response and agility were positively associated with the augmented quality of the performance from low-division players to high-division players ( r = .55; p = .0001). These results suggest that, even at an early age, cognitive control together with soccer-specific skills is associated with better performance.

scholarly journals A smartphone application to measure the quality of pest control spraying machines via image analysis

2018 ◽  
Author(s):  
Bruno Brandoli Machado ◽  
Gabriel Spadon ◽  
Mauro S. Arruda ◽  
Wesley N. Goncalves ◽  
Andre C. P. L. F. Carvalho ◽  
...  
Keyword(s):  
Image Analysis ◽  
Pest Control ◽  
Smartphone Application

scholarly journals Performance metrics in wireless sensor networks :a survey and outlook

2018 ◽  
Vol 7 (2.26) ◽  
pp. 25
Author(s):  
E Ramya ◽  
R Gobinath
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Resource Constraints ◽  
Sensor Data ◽  
Wireless Sensor

Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations. 

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