Sökning: "Privacy by design"
Visar resultat 11 - 15 av 235 uppsatser innehållade orden Privacy by design.
11. Privacy-preserving Authentication in Participatory Sensing Systems : An attribute based authentication solution with sensor requirement enforcement.
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Participatory Sensing Systems (PSS) are a type of Mobile Crowdsensing System where users voluntarily participate in contributing information. Task initiators create tasks, targeting specific data that needs to be gathered by the users’ device sensors. LÄS MER
12. Low-power Implementation of Neural Network Extension for RISC-V CPU
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER
13. Development guidelines for increased consumer privacy - Privacy in Home Assistants
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : Research has shown that people are generally unaware of what information manufacturers gather and store about them via their IoT-devices. All they know is that there may be some collection of information. LÄS MER
14. Vårdmiljöns pårverkan på patienters återhämtning : En allmän litteraturöversikt utifrån ett patientperspektiv
Kandidat-uppsats, Mälardalens universitet/Akademin för hälsa, vård och välfärdSammanfattning : Background: Previous research highlights the perspectives and experiences of nurses and relatives on the importance of the health facility environment for patient recovery. Nurses perceive noise as a disturbance to patients' rest, which can negatively impact their recovery. LÄS MER
15. Development of a Mobile Phone Application for Measuring Muscle Shaking (tremor) in Order to Simplify Medical Diagnostics
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : At the moment, there is no quick and easy method to measure muscle shaking (tremor) reliably. In order to avoid long waiting times for an Electromyography (EMG) investigation, this thesis aims to create an Android smartphone application capable of measuring muscle tremor at a moment’s notice. LÄS MER