During these last recent years cloud computing and cloud services have started to gain traction, which has been most notable among companies. Amazon have proven to be one of the powerhouses on providing scalable and flexible cloud computing services. However, cloud computing is still a relatively new area. From an outsider’s point of view, the overwhelming information and available services might prove to be difficult to familiarize with. The aim of this thesis is to explore how Amazon Web Services can be applied during software development and observing how difficult it might be to use these services. Three test applications that utilized different Amazon Web Services were implemented to get an insight into how Amazon Web Services can be applied from a cloud computing beginner’s point of view. These applications were developed in an iterative manner, where a case study was performed on each application. At the start of each new iteration a literature study was conducted, where sources were reviewed to see if it provided essential information. In total, nine different Amazon Web Services were used to implement and test the three respective test applications. Results of the case study were interpreted and evaluated with regards to the learnability and appliance of Amazon Web Services. Issues that were identified during the development process showed that Amazon Web Services were not userfriendly for users that have little to no experience with cloud computing services. Further research on other Amazon Web Services, such as Elastic Cloud Computing, as well as other cloud computing platforms like Google or IBM, may provide a deeper and more accurate insight on the appliances of cloud computing. / Under dem senaste åren så har molntjänster blivit ett allt mer populärt område, speciellt inom företag. Ett av dem största utgivare inom molntjänst branschen är Amazon som erbjuder skalbara och flexibla molntjänster. Molntjänster är dock ett relativt nytt område, vilket innebär att någon som inte är insatt i ämnet kan finna all tillgänglig information överväldigande och svår att bekanta sig med. Målet med det här tesen är att utforska olika Amazon Web Service som kan användas inom mjukvaruutveckling och observera problem som kan uppstå med dessa tjänster. Tre testapplikationer som använde sig av Amazon Web Services var skapade för att få en fördjupad kunskap om hur dessa tjänster fungerar och vad för möjligheter de har. Dessa applikationer utvecklades iterativt och en fallstudie utfördes för varje applikation. I början av varje ny iteration genomfördes en litteraturstudie, där källorna var kritiskt granskade för att se ifall dem innehöll väsentlig information för tesen. Sammanlagt användes nio olika Amazon Web Services för att implementera och testa de tre olika testapplikationerna. Resultaten från fallstudien tolkades och utvärderades med avseende på Amazon Web Services lärbarhet och tillämpningsbarhet. Problem som samlades ihop under utvecklingsprocessen visade att Amazons Web Services inte var särskilt användarvänligt för utvecklare med liten eller ingen erfarenhet inom Amazon Web Services. Ytterligare forskning inom andra Amazon Web Services som Elastic Cloud Computing och forskning som undersöker andra molntjänst plattformar som Google Cloud, skulle kunna bidra med en djupare förståelse och mer exakt inblick kring tillämpning av molntjänster.

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The aim of this project is to use NI myRIO and LabVIEW for voice controlled home automation. The NI myRIO is an embedded device which has a Xilinx FPGA and a dual-core ARM Cortex-A9processor as well as analog input/output and digital input/output, and is programmed with theLabVIEW, a graphical programming language. The voice control is implemented in two differentsystems. The first system is based on an Amazon Echo Dot for voice recognition, which is acommercial smart speaker developed by Amazon Lab126. The Echo Dot devices are connectedvia the Internet to the voice-controlled intelligent personal assistant service known as Alexa(developed by Amazon), which is capable of voice interaction, music playback, and controllingsmart devices for home automation. This system in the present thesis project is more focusingon myRIO used for the wireless control of smart home devices, where smart lamps, sensors,speakers and a LCD-display was implemented. The other system is more focusing on myRIO for speech recognition and was built on myRIOwith a microphone connected. The speech recognition was implemented using mel frequencycepstral coefficients and dynamic time warping. A few commands could be recognized, includinga wake word ”Bosse” as well as other four commands for controlling the colors of a smart lamp. The thesis project is shown to be successful, having demonstrated that the implementation ofhome automation using the NI myRIO with two voice-controlled systems can correctly controlhome devices such as smart lamps, sensors, speakers and a LCD-display.

Att välja vilken eller vilka röststyrningstjänster man som företag vill stödja kan i dagens läge vara ett svårt val att göra. Det kan även var så att man inte har resurser att göra två olika implementationer. I den här undersökningen tittar vi på om det finns ett bra sätt att göra en implementation som kan hantera fler än en röststyrningstjänst. Tjänsterna vi har fokuserat på i undersökningen är Amazon Alexa och Google Assistant.

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Cloud-based assistants like the Google Home and the Amazon Alexa have become ubiquitous in our homes. Users can simply communicate with the devices using a smartphone application. There are privacy concerns associated with cloud-based assistants. For example, users do not know what type of information is being sent to the device manufacturer, if the device is stealthily listening to conversations, data retention, or who else has access to the data. Privacy is about perception. The goal of this study is to determine user privacy concerns regarding cloud-based assistants by adopting a quantitative research method. The study used a privacy decision framework that lists three core components, which are technology controls, understanding user privacy preference, and government regulations. The research used Dervin's sensemaking model to describe users' privacy perception using the privacy decision framework and improved on a privacy perception survey instrument from previous dissertations. An understanding of user privacy concerns with cloud-based assistants is required to provide a comprehensive privacy guidance to stakeholders. The significance of this study is in the identification of the privacy perception of users of cloud-based assistants and the extent to which the components of the theoretical framework can impact user privacy perception. The results of this study serve as a guide for device manufacturers and other stakeholders in prioritizing privacy design decisions.

Robot assisted therapy is becoming increasingly popular. Research has proven it can be of benefit to persons dealing with a variety of disorders, such as Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), and it can also provide a source of emotional support e.g. to persons living in seniors’ residences. The advancement in technology and a decrease in cost of products related to consumer electronics, computing and communication has enabled the development of more advanced social robots at a lower cost. This brings us closer to developing such tools at a price that makes them affordable to lower income individuals and families. Currently, in several cases, intensive treatment for patients with certain disorders (to the level of becoming effective) is practically not possible through the public health system due to resource limitations and a large existing backlog. Pursuing treatment through the private sector is expensive and unattainable for those with a lower income, placing them at a disadvantage. Design and effective integration of technology, such as using social robots in treatment, reduces the cost considerably, potentially making it financially accessible to lower income individuals and families in need. The Objective of the research reported in this manuscript is to design and implement a social robot that meets the low-cost criteria, while also containing the required functions to support children with ASD. The design considered contains knowledge acquired in the past through research involving the use of various types of technology for the treatment of mental and/or emotional disabilities.