Primjena alata za obradu velikih količina podataka u sustavima brige o starijima

master's thesis

• Title (english): Big data tools in elderly care scenarios
• Author: Abdalla Tayfour
• Mentor: Saša Dešić (mentor)
• Committee member: Saša Dešić (predsjednik povjerenstva)
• Committee member: Ognjen Dobrijević (član povjerenstva)
• Committee member: Sanja Grubeša (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2016-07-12, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovome radu došli smo do zaključka da AAL usluge pružaju cjelokupni ekosustav za praćenje zdravstvenog stanja starijih osoba, od medicinskih senzora, računala i bežičnih mreža do aplikacija. Primarni cilj AAL usluga jest produžiti životni vijek starijih osoba koristeći ICT tehnologiju za osobnu zdravstvenu njegu, neovisno o njihovu okuženju. Trenutna potražnja za AAL sustavima, aplikacijama te uređajima za nadzor osobne njege i telekomunikacijskih nadzornih usluga je velika, no još nema integracije sa sustavima za obradu velike količine podataka.
Sljedeći zaključak je da uvođenje Apache Spark-a u AAL sustav omogućuje spremanje i obradu velikih količina osobnih podataka koji nam daju uvid u navike i opće zdravstveno stanje korisnika. Takav proces je presudan za automatsko otkrivanje anomalija i što bržu reakciju na iste, ovisno o procijenjenoj razini opasnosti.
Korištenjem Apache Spark-a možemo sakupljati i analizirati osobne podatke, kao što su podaci o općem zdravstvenom stanju i navikama osobe. Istovremeno, količina prikupljenih podataka o zdravstvenoj i socijanoj skrbi privlači veliko zanimanje i u poduzetništvu i u ekonomiju. Aspekti privatnosti i sigurnosti osobnih podataka igraju bitnu ulogu u uspješnom usvajanju korištenja pomoćnih tehnologija u AAL okolini. Apache Spark nam omogućava analizu podataka u stvarnom vremenu, i to za različite vrste podataka, kao što su tekstualni, grafički i podaci koji dolaze sa različitih vrsta senzora.

Abstract (english)

In this work we found that Ambient Assisted Living systems provide an ecosystem of medical sensors, computers, wireless networks and software applications for healthcare monitoring. The primary goal of AAL solutions is to extend the time which elderly people can live independently in their preferred environment using ICT technologies for personal healthcare. Presently, there is a huge demand for AAL systems, applications and devices for personal health monitoring and telehealth services, but this services not support big data tools.
Also we found that implement Apache Spark in Ambient Assisted Living systems will allows us to have big of big amounts of personal data and information, from which relevant knowledge on the user’s habits or health. Such a process is critical and necessary to enable the automatic detection of anomalous events, and a prompt reaction to them, according to the level of risk and danger estimated.
By using Apache Spark, we were collecting and processing personal data, like health-related data, or data about the person’s habits and preferences. At the same time, the volumes of data collected in health and social care are drawing increasing business and economic interests. Security and privacy aspects play an important role in the successful adoption of assistive technologies in the Ambient Assisted Living environment.
Also Apache Spark allows processing the data in real time streaming, for different types of data like text data, or graph data that fetch from different kind of sensors.

• Language: english
• URN:NBN: urn:nbn:hr:168:061687
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 12:26:57