Monday, 13 January 2020
Design of Intelligent Vehicle for Distribution System EEased on Speech Recognition
Design of Intelligent Vehicle for Distribution System EEased on Speech Recognition
The
paper presents a method of designing an intelligent vehicle for distribution
system. The voice order of a human being operator can be recognized and
transformed into digital information by iFlytek Input, which is installed on
theAndroid smartphones as a mobile app. Moreover, based on the Bluetooth
wireless communication technology, the digital information about voice order can
be transmitted to the intelligent vehicle which is mainly made up of the Single
Chip Microcomputer(SCM) MSP430F169. Finally, the SCM will deal with the
received information and acquire the key content to control Direct Current (DC)
driving device, which can actuate the DC motor to accomplish all kinds of basic
distribution assignments
Electric Vehicle Recharge to find Nearest Bunk
White Card Manage all card into one (Driving license, Pan Card, Voter Id, Ration Card) Android App
Location Based Garbage Management System for Smart City based android app
A Food Wastage Reduction Android Application based android app
OnRoad Vehicle Breakdown Help Assistance Based Android App
Android Hospital Management System for Doctor and Patient
Digital Vehicle - License, Insurance And RC Book Tracing For Police based android app
evoting Android App Using OTP and Photo Matching Voting system
Wallet App Credibility Analysis Based on App Content and User
Wallet App Credibility Analysis Based on App Content and User
Online
reviews have become a valuable resource for decision making. In recent years,
analysis of reviews has attracted significant attention. Individuals and
organizations in making purchase and other organizational decisions are
increasingly using online reviews. Positive reviews acclaim significant
financial gains, fame and prestige for businesses in market. On the other end,
this gives strong enticement to fraudulent to hypocrite the system by posting
disingenuous reviews to promote or to vilify some target products and services,
which is known as opinion spam. Therefore, we made this research effort as an
initial impetus in the direction to identify the presence of fake reviews. We
performed this experiment on Wallet Apps accessible through Google Play Store.
To do so, we rate applications based on features availability existence in
Google App based on App content and user reactions. We computed four major
scores- Description score, Positive Store, Negative Store and Review Tag Score
and finally assigned a cumulative normalized score to all Wallet Apps. Further,
a comparative analysis has been done between cumulative normalized score and
stated Google App rating. Significant deviation indicates a strong probability
that application has an opinion spam.Keywords—Opinion Spam; Google App; Wallet
App; Fake Reviews; Information Retrieval
Android app for Online Examination and Results System
Online Complaint Registration and Management system (street light, water pipe leakage, rain water drainage, road)
eCrime Identification Using Face Matching Based Mobile App
Women Security with SMS Alert based Android App
Digital Gram Panchayath Services based Android App
Android app for Finding Lost Debit Card Security Based Android App
Exam And Hall Ticket Management Application System based android app
Android Farmers Agriculture using E-Digital Marketing Shop
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