scholarly journals Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6354
Author(s):  
Antonio Madueño Luna ◽  
Miriam López Lineros ◽  
Javier Estévez Gualda ◽  
Juan Vicente Giráldez Cervera ◽  
José Miguel Madueño Luna
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Raspberry Pi ◽  
Data Sets ◽  
Analysis Method ◽  
Gap Filling ◽  
Remote Communication ◽  
Catchment Basin ◽  
River Stage ◽  
Real Time Application

Hydrometeorological data sets are usually incomplete due to different reasons (malfunctioning sensors, collected data storage problems, etc.). Missing data do not only affect the resulting decision-making process, but also the choice of a particular analysis method. Given the increase of extreme events due to climate change, it is necessary to improve the management of water resources. Due to the solution of this problem requires the development of accurate estimations and its application in real time, this work present two contributions. Firstly, different gap-filling techniques have been evaluated in order to select the most adequate one for river stage series: (i) cubic splines (CS), (ii) radial basis function (RBF) and (iii) multilayer perceptron (MLP) suitable for small processors like Arduino or Raspberry Pi. The results obtained confirmed that splines and monolayer perceptrons had the best performances. Secondly, a pre-validating Internet of Things (IoT) device was developed using a dynamic seed non-linear autoregressive neural network (NARNN). This automatic pre-validation in real time was tested satisfactorily, sending the data to the catchment basin process center (CPC) by using remote communication based on 4G technology.

scholarly journals Patient Healthcare Monitoring system for Emergency Situations

2019 ◽  
Vol 8 (12S) ◽  
pp. 287-290
Keyword(s):  
Real Time ◽  
Sensor Node ◽  
Threshold Value ◽  
Raspberry Pi ◽  
Physical Parameters ◽  
Remote Communication ◽  
Emergency Situations ◽  
Remote Transmission ◽  
The Individual ◽  
System Access

System for real time patient monitoring, have attracted noteworthy consideration in the most recent two decades. An enormous number of economical forms of patient checking systems are accessible, which were being used by approved health care experts. Notwithstanding this there is a solid requirement for online patient observing system, when the patient isn't in the emergency clinic. The principle target of this paper is to structure and execute an economical, convenient powerful patient checking observing system that can transmit the essential indications of a patient in crisis /crucial circumstances constantly through a remote communication network. Different sensors, for example, pulse, temperature, blood pressure and fingerprint are inter-faced through the microcontroller for estimating the significant physical parameters of the patient. For remote transmission, these sensors are associated with a sensor node through GSM module. Raspberry-Pi is utilized as a sensor node as it has better highlights contrasted with different controllers. Subsequent to giving system access to the Raspberry Pix board, it goes about as a server. At that point the server routinely sends estimated information to the web-server, which are additionally checked by employing web page which can be recovered from anyplace on the planet using workstations, laptops, android advanced cell and so on. The deliberate constant parameters are refreshed at regular intervals. The information procured is first stored, analyzed and projected on a webserver. The framework is executed so that, when the deliberate physiological information surpasses the threshold value, the overseer is alarmed through SMS and a voice call. Also using the proposed system, real-time remote monitoring is also carried out on the patient. Additionally, positional data of the individual can be obtained from GPS receiver as shown on the digital map and sent to the related units. Thus, the system proposed in this paper makes the individual’s day-to-day life relaxed and more comfortable.

Haptic Rendering of Data on Irregular Grids

2000 ◽  
Author(s):  
Roman Y. Novoselov ◽  
Dale A. Lawrence ◽  
Lucy Y. Pao
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Additional Data ◽  
Computation Time ◽  
Haptic Rendering ◽  
General Purpose ◽  
Data Sets ◽  
Irregular Grids ◽  
Visualization Of Data ◽  
Dsp Processors

Abstract Haptic rendering of data on irregular grids requires additional data storage and real time computation compared to the same size data sets on regular grids. At the same time, it is important to keep computation time small to avoid noticeable artifacts in haptic rendering. When the rendering algorithm is implemented on DSP processors, memory is often much smaller than on contemporary general purpose computers. By appropriate partitioning of algorithms between preprocessing and real time computation, and by quantizing and packing data, we show how scientific visualization of data sets on the order of 1 million elements by real time haptic rendering can be accomplished.

scholarly journals Design and Analysis of IOT Based Real Time System for Door Locking/Unlocking using Face Identification

2020 ◽  
Vol 8 (5) ◽  
pp. 2093-2095
Keyword(s):  
Real Time ◽  
Recognition System ◽  
Raspberry Pi ◽  
Real Time System ◽  
Security Issues ◽  
Door Opening ◽  
The Face ◽  
Face Detection And Recognition ◽  
Real Time Application ◽  
Detection And Recognition

In this era we are facing security issues in every aspect. So for resolving this issue we are proposes a real time application controlled door locking/unlocking mechanism which harnesses the power of IOT and machine learning for smooth functionality. The door unlocking system proposed here uses a Raspberry Pi 3 model B for computation along with a Pi Camera to take face as an input of the user. Also in order to make door unlocking fail proof, fingerprint sensor is used. Scenarios like bad lighting and camera failure can be easily dealt using this sensor. The face detection and recognition system used for door opening will be able to learn user’s faces from time to time and update its dataset. So any subtle changes in the face of user like addition of spectacles or removal of beard can be easily dealt with.

scholarly journals Review Paper on Real Time Application of Embedded System for Driver Safety by Using Raspberry Pi

2021 ◽  
Author(s):  
Yogesh Shankar Ghodake ◽  
Sushil S Kulkarni ◽  
Nikhil Deshpande
Keyword(s):  
Embedded System ◽  
Real Time ◽  
Review Paper ◽  
Power Source ◽  
Raspberry Pi ◽  
Driver Safety ◽  
Vehicle Accidents ◽  
Driver Drowsiness ◽  
Frequent Monitoring ◽  
Real Time Application

This project gives approach for real time detection of car driver drowsiness and alcoholic intoxication. There are various reasons behind the increasing number of vehicle accidents which are becoming a very serious issue but the ones that can be prevented are the mental and physical condition of the driver while driving and frequent monitoring of it can be achieved with the help of technology. In this project, we have developed an automatic system with will perform some task like issuing the alarm notification and switching off the car power source to stop the car upon receiving the positive detection message from Raspberry-pi.

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

Design of Portable Electrocardiograph Monitoring System

2020 ◽  
Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
P Wave ◽  
Ecg Monitoring ◽  
The Public ◽  
Ecg Signals ◽  
Early Warning Mechanism ◽  
Timely Treatment ◽  
Ecg Data

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.

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