Geolocation nearest point alert mobile application “Am Home”

For the needs of the master in Integrated Circuits in Hardware and Software Systems a mobile application developed. The main functionality of this mobile application is to calculate the distance between user’s position and a predefined static point - point of interest like the home of the user. Mor...

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Κύριος συγγραφέας: Παπουτσής, Γεώργιος
Άλλοι συγγραφείς: Δενάζης, Σπύρος
Μορφή: Thesis
Γλώσσα:Greek
Έκδοση: 2016
Θέματα:
Διαθέσιμο Online:http://hdl.handle.net/10889/9437
id nemertes-10889-9437
record_format dspace
spelling nemertes-10889-94372022-09-06T05:13:33Z Geolocation nearest point alert mobile application “Am Home” Εφαρμογή κινητού τηλεφώνου για ειδοποίηση εύρεσης κοντινότερου σημείου Παπουτσής, Γεώργιος Δενάζης, Σπύρος Papoutsis, Georgios Παλιουράς, Βασίλειος Κουφοπαύλου, Οδυσσέας Mobile phones Apps 005.35 Κινητά τηλέφωνα Εφαρμογές For the needs of the master in Integrated Circuits in Hardware and Software Systems a mobile application developed. The main functionality of this mobile application is to calculate the distance between user’s position and a predefined static point - point of interest like the home of the user. Moreover the user receives notification messages from mobile application in order to be notified weather he is far away from his home. So for example a user declare his home geolocation in the mobile application and the mobile application notifies the user and his relatives whether he is near to his home or to other defined point . The purpose of this application is to provide help to people that suffer from brain diseases and their volunteer caregivers. Brain diseases cause decrease in the ability to think and remember that is great enough to affect a person's daily functioning. Dementia[1], also known as senility, is a broad category of brain diseases . The most common type of dementia is Alzheimer's disease, which makes up 50% to 70% of cases. Other common types include vascular dementia (25%), Lewy body dementia (15%), and frontotemporal dementia. Less common causes include normal pressure hydrocephalus, Parkinson's disease, syphilis, and Creutzfeldt – Jakob disease among others. More than one type of dementia may exist in the same person. A small proportion of cases run in families. The mini mental state examination is one commonly used cognitive test. Efforts to prevent dementia include trying to decrease risk factors such as high blood pressure, smoking, diabetes and obesity. Για τις ανάγκες του μεταπτυχιακού Ολοκληρωμένα Συστήματα Υλικού και Λογισμικού αναπτύχθηκε μια εφαρμογή κινητών τηλεφώνων. Η κύρια λειτουργία της εφαρμογής αυτής είναι ο υπολογισμός της απόστασης μεταξύ του χρήστη της και ενός προκαθορισμένου σημείου «σημείου ενδιαφέροντος» όπως για παράδειγμα το σπίτι του. Επιπλέον ο χρήστης λαμβάνει ειδοποιήσεις από το κινητό προκειμένου να ενημερωθεί όταν απομακρυνθεί από το σπίτι του. Για παράδειγμα, ο χρήστης καταχωρεί τις συντεταγμένες (geolocation) στην εφαρμογή και αυτή ειδοποιεί το χρήστη όταν αυτός απομακρυνθεί από το σημείο που έχει δηλώσει . Σκοπός της συγκεκριμένης εφαρμογής είναι να βοηθήσει ανθρώπους που πάσχουν από άνοια αλλά και αυτούς που τους παράσχουν φροντίδα . Εγκεφαλικές βλάβες δημιουργούν μείωση στην ικανότητα της σκέψης και της μνήμης, κάτι που είναι αρκετό για να επηρεάσει την καθημερινότητα κάποιου. Η άνοια, επίσης γνωστή ως γήρας, είναι μια μεγάλη κατηγορία εγκεφαλικών παθήσεων. Ο πιο γνωστός τύπος άνοιας είναι η ασθένεια του Αλτσχάιμερ, που αποτελεί το 50% με 70% των περιπτώσεων. 2016-06-21T15:31:14Z 2016-06-21T15:31:14Z 2016-04-13 Thesis http://hdl.handle.net/10889/9437 gr 0 application/pdf
institution UPatras
collection Nemertes
language Greek
topic Mobile phones
Apps
005.35
Κινητά τηλέφωνα
Εφαρμογές
spellingShingle Mobile phones
Apps
005.35
Κινητά τηλέφωνα
Εφαρμογές
Παπουτσής, Γεώργιος
Geolocation nearest point alert mobile application “Am Home”
description For the needs of the master in Integrated Circuits in Hardware and Software Systems a mobile application developed. The main functionality of this mobile application is to calculate the distance between user’s position and a predefined static point - point of interest like the home of the user. Moreover the user receives notification messages from mobile application in order to be notified weather he is far away from his home. So for example a user declare his home geolocation in the mobile application and the mobile application notifies the user and his relatives whether he is near to his home or to other defined point . The purpose of this application is to provide help to people that suffer from brain diseases and their volunteer caregivers. Brain diseases cause decrease in the ability to think and remember that is great enough to affect a person's daily functioning. Dementia[1], also known as senility, is a broad category of brain diseases . The most common type of dementia is Alzheimer's disease, which makes up 50% to 70% of cases. Other common types include vascular dementia (25%), Lewy body dementia (15%), and frontotemporal dementia. Less common causes include normal pressure hydrocephalus, Parkinson's disease, syphilis, and Creutzfeldt – Jakob disease among others. More than one type of dementia may exist in the same person. A small proportion of cases run in families. The mini mental state examination is one commonly used cognitive test. Efforts to prevent dementia include trying to decrease risk factors such as high blood pressure, smoking, diabetes and obesity.
author2 Δενάζης, Σπύρος
author_facet Δενάζης, Σπύρος
Παπουτσής, Γεώργιος
format Thesis
author Παπουτσής, Γεώργιος
author_sort Παπουτσής, Γεώργιος
title Geolocation nearest point alert mobile application “Am Home”
title_short Geolocation nearest point alert mobile application “Am Home”
title_full Geolocation nearest point alert mobile application “Am Home”
title_fullStr Geolocation nearest point alert mobile application “Am Home”
title_full_unstemmed Geolocation nearest point alert mobile application “Am Home”
title_sort geolocation nearest point alert mobile application “am home”
publishDate 2016
url http://hdl.handle.net/10889/9437
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