scholarly journals Dual OS Smart Mirror Using Raspberry Pi (Allure Mirror)

2021 ◽  
pp. 48-52
Author(s):  
Prem Mehta ◽  
Jigar Lohe ◽  
Rushabh Joshi ◽  
Dr. Hetal Patel
Keyword(s):  
Operating System ◽  
Social Media ◽  
Real Time ◽  
Raspberry Pi ◽  
Time Data ◽  
Display Time ◽  
Lcd Display ◽  
Real Time Data

This paper describes the designing and implementation of a dual operating system wall mirror, called “Allure Mirror”. It is a device that can act as a mirror as well as a dual -OS immersive display which can display time, date, weather, news, can play video (via. YouTube, Prime Video, Netflix, etc.), can do video calls, use social media, check mails, can help in fitness and many more. Voice instructions can be used to communicate with it. The Allure Mirror includes features such as real-time data and information alerts, voice orders, content viewing via LCD display, microphone, and webcam, and more. Voice instructions can be used to communicate with the Allure mirror.

Real-Time Data Logging and Online Curve Fitting Using Raspberry Pi in Physics Laboratories

2020 ◽  
Vol 18 (3) ◽  
pp. 57-77
Author(s):  
Wing-Kwong Wong ◽  
Kai-Ping Chen ◽  
Jia-Wei Lin
Keyword(s):  
Experimental Data ◽  
Real Time ◽  
Curve Fitting ◽  
Empirical Studies ◽  
Error Rates ◽  
Raspberry Pi ◽  
Data Logging ◽  
Time Data ◽  
Real Time Data ◽  
Physics Laboratories

The results of PISA 2015 indicate that Taiwanese students have excellent mathematical and scientific knowledge but are weak in applying such knowledge and in conducting practical experiments in the laboratory. To support students conducting practical experiments in physics laboratories, a real-time data logging system and an online tool for fitting experimental data were developed. During data logging in an experiment, the data was immediately plotted, which enabled students to observe the characteristics of the plot. The online curve fitting system, which employed Internet of Things technologies, allowed students to fit experimental data to various mathematical functions and plot a function curve superimposed on the data. Two empirical studies were conducted involving first-year university students and secondary school teachers. The results indicated that these developed tools improved students' understanding of an experiment's mathematical characteristics. The average curve fitting error rates of students and teachers were 4.62% and 1.4%, respectively.

scholarly journals Implementation of ANN-Based Embedded Hybrid Power Filter Using HIL-Topology with Real-Time Data Visualization through Node-RED

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7127
Author(s):  
Raffay Rizwan ◽  
Jehangir Arshad ◽  
Ahmad Almogren ◽  
Mujtaba Hussain Jaffery ◽  
Adnan Yousaf ◽  
...  
Keyword(s):  
Real Time ◽  
Data Visualization ◽  
Data Communication ◽  
Primary Data ◽  
Raspberry Pi ◽  
Ann Model ◽  
Time Data ◽  
Real Time System ◽  
Power Filter ◽  
Real Time Data

Electrical power consumption and distribution and ensuring its quality are important for industries as the power sector mandates a clean and green process with the least possible carbon footprint and to avoid damage of expensive electrical components. The harmonics elimination has emerged as a topic of prime importance for researchers and industry to realize the maintenance of power quality in the light of the 7th Sustainable Development Goals (SDGs). This paper implements a Hybrid Shunt Active Harmonic Power Filter (HSAHPF) to reduce harmonic pollution. An ANN-based control algorithm has been used to implement Hardware in the Loop (HIL) configuration, and the network is trained on the model of pq0 theory. The HIL configuration is applied to integrate a physical processor with the designed filter. In this configuration, an external microprocessor (Raspberry PI 3B+) has been employed as a primary data server for the ANN-based algorithm to provide reference current signals for HSAHPF. The ANN model uses backpropagation and gradient descent to predict output based on seven received inputs, i.e., 3-phase source voltages, 3-phase applied load currents, and the compensated voltage across the DC-link capacitors of the designed filter. Moreover, a real-time data visualization has been provided through an Application Programming Interface (API) of a JAVA script called Node-RED. The Node-RED also performs data transmission between SIMULINK and external processors through serial socket TCP/IP data communication for real-time data transceiving. Furthermore, we have demonstrated a real-time Supervisory Control and Data Acquisition (SCADA) system for testing HSAHPF using the topology based on HIL topology that enables the control algorithms to run on an embedded microprocessor for a physical system. The presented results validate the proposed design of the filter and the implementation of real-time system visualization. The statistical values show a significant decrease in Total Harmonic Distortion (THD) from 35.76% to 3.75%. These values perfectly lie within the set range of IEEE standard with improved stability time while bearing the computational overheads of the microprocessor.

scholarly journals Literature review on Real-time Location-Based Sentiment Analysis on Twitter

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Dilmini Rathnayaka ◽  
Pubudu K.P.N Jayasena ◽  
Iraj Ratnayake
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Sentiment Analysis ◽  
Real Time ◽  
Analysis Data ◽  
Time Data ◽  
Twitter Data ◽  
Analysis Methods ◽  
Real Time Data ◽  
Twitter Data Analysis

Sentiment analysis mainly supports sorting out the polarity and provides valuable information with the use of raw data in social media platforms. Many fields like health, business, and security require real-time data analysis for instant decision-making situations.Since Twitter is considered a popular social media platform to collect data easily, this paper is considering data analysis methods of Twitter data, real-time Twitter data analysis based on geo-location. Twitter data classification and analysis can be done with the use of diverse algorithms and deciding the most appropriate algorithm for data analysis, can be accomplished by implementing and testing these diverse algorithms.This paper is discussing the major description of sentiment analysis, data collection methods, data pre-processing, feature extraction, and sentiment analysis methods related to Twitter data. Real-time data analysis arises as a major method of analyzing the data available online and the real-time Twitter data analysis process is described throughout this paper. Several methods of classifying the polarized Twitter data are discussed within the paper while depicting a proposed method of Twitter data analyzing algorithm. Location-based Twitter data analysis is another crucial aspect of sentiment analyses, that enables data sorting according to geo-location, and this paper describes the way of analyzing Twitter data based on geo-location. Further, a comparison about several sentiment analysis algorithms used by previous researchers has been reported and finally, a conclusion has been provided.

scholarly journals Android Based Instant Messaging Tool Using Firebase as Backend

2020 ◽  
Vol 6 (12) ◽  
pp. 198-201
Author(s):  
Ashita, Vasudha Bahl Dr.Amita Goel and Nidhi Sengar
Keyword(s):  
Operating System ◽  
Real Time ◽  
Instant Messaging ◽  
Online Communication ◽  
Internet Communication ◽  
Time Data ◽  
World Communication ◽  
Real Time Data ◽  
Audio Video

In today’s world, communication is very important and keeping this communication in real time is important as our lives become faster. Internet communication is becoming more and more important these days. Online communication allows users to communicate with other people in a fast and easy way. Keeping this in mind, the communication app should be able to transfer files and messages instantly without or with little delay, depending on the broadcast field. For such a system to work there must be a database that will update in real time to store all the data transferred.Google Firebase is a service that provides real-time data server, as well as many other features and Firebase enables us to develop applications that are easy to connect to. In this paper, we propose a system that will be able to send text and text-based files such as photos, audio, video, text online between two users on the network in real time.We use the Android and Google Firebase operating system to manage contact back functionality, highlighting various features of the application and service.

scholarly journals Sentiment Classification System of Twitter Data using Python

2020 ◽  
Vol 8 (6) ◽  
pp. 1042-1044
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Real Time ◽  
Classification System ◽  
Sentiment Classification ◽  
Time Data ◽  
Twitter Data ◽  
Real Time Data ◽  
Share Data ◽  
Day By Day

Social media has developed drastically over the years. These days, individuals from all around the globe utilize online networking destinations to share data and information. Twitter is a well known communication site where users update information or messages known as tweets. Users share their day by day lives, post their opinions on everything, for example, brands and places. Various purchasers and advertisers utilize these tweets to accumulate bits of knowledge of their items and opinions on them. The aim of this paper is to exhibit a model that can perform sentiment analysis of real-time data collected from twitter and classify the tweets into positive, negative or neutral based on the sentiment expressed in them.

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