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Visualization of IoT Data on Mobile Devices and Modularity of ApplicationsFjällid, Jimmy, Gortzak, Adrian January 2017 (has links)
Wireless sensor networks used in smart cities and elsewhere collect large amounts of sensor data that needs to be made available to respective audiences and have proper visualization. There is a lack of mobile applications capable of visualizing sensor data coming from multiple sources using different protocols and data formats in a clear way; an application that is easy for anyone to use. This paper will present the development and evaluation of Smart City IoT which is an Android application for visualization of IoT data collected from wireless sensor networks. The resulting application Smart City IoT is designed to be modular to the core to allow for easy extension with new sensor types, communication protocols and data formats. It demonstrates that an Android application can be developed to support multiple sources with different protocols and have a unified visualization without requiring extensive set up. / Trådlösa sensornät som används i smarta städer och på annat håll samlar in stora mängder data som behöver göras tillgängliga för respektive publik och använda sig av lämpliga visualiseringar. Det är brist på mobila applikationer som är kapabla att visualisera sensordata som kommer från flera källor med olika protokoll och data format på ett tydligt sätt; en applikation som är enkel att använda. Den här rapporten kommer att presentera utvecklingen och valideringen av Smart City IoT vilket är en applikation till Android för att visualisera IoTdata hämtat från trådlösa sensor-nätverk. Den resulterande applikationen Smart City IoT är designad för att vara modulär i sin kärna för att tillåta enkel utbyggnad av nya sensortyper, kommunikationsprotokoll och dataformat. Den demonstrerar att en applikation för Android kan utvecklas med stöd för flera källor, med olika protokoll och ha en gemensam visualisering utan att kräva en omfattande konfiguration.
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Hardened Registration Process for Participatory SensingBorsub, Jatesada January 2018 (has links)
Participatory sensing systems need to gather information from a largenumber of participants. However, the openness of the system is a doubleedgedsword: by allowing practically any user to join, the system can beabused by an attacker who introduces a large number of virtual devices.This work proposes a hardened registration process for participatory sensingto raise the bar: registrations are screened through a number of defensivemeasures, towards rejecting spurious registrations that do not correspondto actual devices. This deprives an adversary from a relatively easytake-over and, at the same time, allows a flexible and open registrationprocess. The defensive measures are incorporated in the participatorysensing application. / Deltagande avkännings system behöver samlas från ett stort antal aktörer.Systems öppenhet är dock en dubbelsidigt värd: Genom att låta alla praktiskaanvändare deltagit, kan system utnyttja en av angripare som introducera ett stortantal virtuella enheter. I det här arbetet föreslå en härda registreringsprocess fördeltagare att identifiera höjning av ribban: registrering screenas genom ett antaldefensiva åtgärders, för att avvisa falska registreringar som inte motsvara aktuellaenheter. Detta berövar en motståndare från en relativt lätt övertagande och gersamtidigt en flexibel och öppen registreringsprocess. De defensiva åtgärdernainförlivas i deltagande avkännings applikation.
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A Multi-Carrier Collaborative Solution to Minimize Connectivity-LossWong, Michael 01 June 2016 (has links) (PDF)
Nearly two-thirds of Americans own a smart phone, and 19% of Americans rely on their smartphone for either accessing valuable information or staying connected with their friends and family across the globe [15]. Staying always-on and always-connected to the Internet is one of the most important and useful features of a smartphone. This connection is used by almost every single application on the device including web browsers, email clients, messaging applications, etc. Unfortunately, the cellular networks on our smartphones are not perfect and do not always have cellular signal. Our devices often lose Internet connection when users are on the go and traveling.
This thesis presents a novel in-depth implementation and evaluation of what we can achieve when a user loses network connectivity. BleHttp, a library for Android, was developed that uses Bluetooth Low Energy to connect to other devices using a different carrier within close proximity of each other and make HTTP requests. In our results, we saw 100% success rates on HTTP requests with connected devices on a good connection. Average round trip times were tested to be as low as 1.5 seconds.
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Building Android Malware Detection Architectures using Machine LearningMathur, Akshay January 2022 (has links)
No description available.
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Mobile computing and sensor Web services for coastal buoysRajender, Santhosh Kumar Amanchi 11 December 2009 (has links)
Mobile device technology with the influence of the Internet is creating a lot of Webbased services so that people can have easy and 24-hour access to the services. Recently, the Google’s Android has revolutionized applications development for the mobile platform. As there is an increasing number of companies exposing their services as Web services, enabling flexible mobile access to distributed Web resources is a relevant challenge. However, the current Web is a collection of human readable pages that are unintelligible to computer programs. Semantic Web and Web services have the potential of overcoming this limitation. For this, a standard ontology called Ontology Web Language for Services (OWL-S) is employed. The vision is to automatically discover services like Sensor Web services from mobile. In this thesis, a mobile framework is developed for the automatic discovery of services. The application is implemented for the Coastal Sensor Web and the Semantic Web service.
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FACE RECOGNITION APPLICATION BASED ON EMBEDDED SYSTEMGao, Weihao January 2013 (has links)
No description available.
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Implementing Dynamic Visualization of Interactive Text Streams on Mobile DevicesO'Neill, Ryan Michael 23 April 2014 (has links)
No description available.
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Framework for Analysis of Android MalwareKim, Ye Kyung January 2014 (has links)
No description available.
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USER ACTIVITY TRACKER USING ANDROID SENSORSong, Chenxi 15 May 2015 (has links)
No description available.
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Android Malware Detection through Permission and App Component Analysis using Machine Learning AlgorithmsKulkarni, Keyur 21 December 2018 (has links)
No description available.
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