The success of Internet of Things solutions allowed the establishment of new applications such as smart hydroponic agriculture. One typical problem in such an application is the rapid degradation of the deployed sensors. Traditionally, this problem is resolved by frequent manual maintenance, which is considered to be ineffective and may harm the crops in the long run. The main purpose of this thesis was to propose a machine learning approach for automating the detection of sensor fault drifts. In addition, the solution’s operability was investigated in a cloud computing environment in terms of the response time. This thesis proposes a detection algorithm that utilizes RNN in predicting sensor drifts from time-series data streams. The detection algorithm was later named; Predictive Sliding Detection Window (PSDW) and consisted of both forecasting and classification models. Three different RNN algorithms, i.e., LSTM, CNN-LSTM, and GRU, were designed to predict sensor drifts using forecasting and classification techniques. The algorithms were compared against each other in terms of relevant accuracy metrics for forecasting and classification. The operability of the solution was investigated by developing a web server that hosted the PSDW algorithm on an AWS computing instance. The resulting forecasting and classification algorithms were able to make reasonably accurate predictions for this particular scenario. More specifically, the forecasting algorithms acquired relatively low RMSE values as ~0.6, while the classification algorithms obtained an average F1-score and accuracy of ~80% but with a high standard deviation. However, the response time was ~5700% slower during the simulation of the HTTP requests. The obtained results suggest the need for future investigations to improve the accuracy of the models and experiment with other computing paradigms for more reliable deployments.

Internet of things is getting more and more popular in healthcare as it comes with benefits that help with efficiency in saving lives and reduce its cost, but it also presents a new attack vector for an attacker to steal or manipulate information sent between them. This report will focus on three properties in the definition of security, confidentiality, integrity and access control. The report will look into what challenges there is in healthcare IoT today through a literature review and from those challenges look into what could minimise these challenges before a device gets into production. The report found that the lack of standardisation has lead to errors that could be easily prevented by following a guideline of tests as those from the European Union Agency for Network and Information Security, or by running a penetration test with the tools brought up in the report on the device to see what vulnerabilities are present.

<p>Developing resiliency in supply chains became vital in the recent years due to global diversification and vulnerability to risks. Firms need to identify, evaluate, and mitigate risks in supply chain to maintain continuity and create competitive advantage. Although the problem of supply chain disruptions has existed for a long time, less attention has been given by researchers in exploring the adoption of advanced technologies to build resilient supply chains. This study explored the potential of mitigating supply chain disruptions with the use of Industry 4.0 technologies such as Internet of Things (IoT) and Supply chain data analytics platform which develops digital twin environment for supply chains. </p> <p><br></p> <p>This research gathered expert’s opinion on the resilience capabilities developed in supply chain by digital twin adoption, stages and practices involved in digital twin assimilation through Delphi survey with subject matter experts and supply chain practitioners. Semi-structured interviews were conducted with participants to attain deep understanding on the resilience capabilities gained by digital twin and stages in digital twin adoption. Comparison of the results from Delphi survey and interviews was carried out to synthesize the results to yield a comprehensive understanding of resilience capabilities gained through digital twin and adoption stages of supply chain digital twin. This research has conducted interviews with 21 subject matter experts and completed three rounds of Delphi survey (with participants n = 15, 11, 11 in three rounds respectively) to develop a framework for digital twin adoption to enhance supply chain resilience. </p> <p><br></p> <p>This research determined that digital twin develops real-time monitoring and sensing capabilities, planning and decision support system, and automating decisions and action execution capabilities in supply chain. In addition, digital twin positively impacts resilience elements such as agility, supply chain reconfiguration, robustness, and collaboration in supply chain, which improves the supply chain performance. The results from this study were utilized to develop a framework for enabling supply chain resilience through digital twin. The framework included antecedents, consequences, and various moderators that impact digital twin adoption and diffusion in supply chains. Finally, this research developed a five-stage roadmap for adopting digital twin capabilities in supply chain. </p>

The Internet of Things (IoT) provides smart solutions for future urban communities to address key benefits with the least human intercession. A smart home offers the necessary capabilities to promote efficiency and sustainability to a resident with their healthcare-related, social, and emotional needs. In particular, it provides an opportunity to assess the functional health ability of the elderly or individuals with cognitive impairment in performing daily life activities. This work proposes an approach named Cognitive Assessment of Smart Home Resident (CA-SHR) to measure the ability of smart home residents in executing simple to complex activities of daily living using pre-defined scores assigned by a neuropsychologist. CA-SHR also measures the quality of tasks performed by the participants using supervised classification. Furthermore, CA-SHR provides a temporal feature analysis to estimate if the temporal features help to detect impaired individuals effectively. The goal of this study is to detect cognitively impaired individuals in their early stages. CA-SHR assess the health condition of individuals through significant features and improving the representation of dementia patients. For the classification of individuals into healthy, Mild Cognitive Impaired (MCI), and dementia categories, we use ensemble AdaBoost. This results in improving the reliability of the CA-SHR through the correct assignment of labels to the smart home resident compared with existing techniques.

Wireless sensor networks (WSNs) groups specialized transducers that provide sensing services to Internet of Things (IoT) devices with limited energy and storage resources. Since replacement or recharging of batteries in sensor nodes is almost impossible, power consumption becomes one of the crucial design issues in WSN. Clustering algorithm plays an important role in power conservation for the energy constrained network. Choosing a cluster head (CH) can appropriately balance the load in the network thereby reducing energy consumption and enhancing lifetime. This paper focuses on an efficient CH election scheme that rotates the CH position among the nodes with higher energy level as compared to other. The algorithm considers initial energy, residual energy, and an optimum value of CHs to elect the next group of CHs for the network that suits for IoT applications, such as environmental monitoring, smart cities, and systems. Simulation analysis shows the modified version performs better than the low energy adaptive clustering hierarchy protocol by enhancing the throughput by 60%, lifetime by 66%, and residual energy by 64%.

In a world where technological progress is constant, understanding the views and experiences of users is essential. With the use of technology, there are many dangers. Issues with privacy and security are among them. This thesis deals with understanding the perception of privacy and security of smart home IoT devices. The literature review consists of understanding concepts of trust, possible ways of intrusion, and prevention and elaborating more about the Internet of Things technology and smart homes. The review also contains notes on previous findings of the user's perception. The review of the literature also connects possible ways of intrusion with the underlying IoT architecture as well as explains notions of privacy by design, compliance, and GDPR. To understand the phenomenon of privacy and security in the context of a smart home, a simple qualitative study was conducted. Sixteen participants who are part of the general public were interviewed. The collected information was analyzed using a general inductive approach, and answers were grouped into categories as suggested by Thematic Analysis. Interviews were done online and a transcript summary can be found in the last Appendix. The findings from the interviews suggest that privacy and convenience matter most to the users. Participants demonstrated a willingness to purchase if they perceived a device as something that will increase their quality of life and were willing to share data such as location but they were not willing to lose anonymity. What type of data and for what purpose was mentioned as most important. When it comes to security attacks, participants were less worried about how it might happen and more worried about what might happen to them and what are the consequences for them. In the conclusion of the study, I present advice for students and academia, device manufacturers, and service providers as well as the general public as the last main stakeholder. Since technology is not static, it would be of importance to revisit topics of privacy and security of IoT.

Syftet med studien är att undersöka hur den svenska sjukvården kan utveckla sina digitala tjänster så att fler patienter från 65 år och äldre kan nyttja digital sjukvård. Forskningsstrategin som tillämpats genom arbetets gång har varit en systematisk litteraturstudie, där datainsamlingen har bestått av befintlig forskning. Där dessa har selekterats utifrån en systematisk litteraturstudie som innefattar PRISMA:s fyrstegsmodell samt dess 27 kriterier. PRISMA modellen har resulterat att kvalitativa data har samlats in, vilket utgjort studiens empiriska material. Resultatet som framkommer inom studien är att äldre patienter vill få en mer individanpassad sjukvård som kan ges via digitala vårdtjänster. Eftersom flertalet äldre inte har inkomsten till att införskaffa dyra elektronikprylar är det centralt att medicinska sensorer kan ges ut som är direkt uppkopplade till ett smart hem. Genom att utveckla smarta hem för äldre människor ges dessa individer en större möjlighet att kunna följa sin hälsostatus på daglig basis till en lägre kostnad, där digitala vårdtjänster ska agera som stöd för dessa smarta hem. Genom att sjukvården utvecklar sina digitala tjänster på ett mer användarvänligt sätt, kan äldre patienter från 65 år och äldre känna att de i större utsträckning kan hålla koll på sin personliga sjukvård med hjälp av digitala vårdtjänster. Slutsatsen som kan dras är att sjukvården måste utveckla digitala vårdtjänster som fokuserar på sex faktorer i form av individanpassad -, kommunikativ -, ekonomisk -, teknologisk -, etisk - och psykologisk tillgänglighet. / The purpose of the study is to investigate how Swedish healthcare can develop its digital services so that more patients aged 65 and older can use digital healthcare. The research strategy applied from the course of the work has been a systematic literature study, where data collection has consisted of existing research. Where these have been selected on the basis of a systematic literature study originating from PRISMA's four-stage model and its 27 criteria. The PRISMA model has resulted in the collection of qualitative data, which constituted the empirical material of the study. The result of the study is that older patients want more individualized healthcare that can be provided through digital healthcare services. Since most elderly people do not have the income to buy expensive electronics gadgets, it is essential that medical sensors can be released that are directly connected to a smart home. By developing smart homes for older people, these individuals are given a greater opportunity to monitor their health status on a daily basis at a lower cost, where digital healthcare services should act as support for these homes. By developing health care service in a more user-friendly way, the elderly can feel that they can to a greater extent keep track of their personal health care with the help of digital healthcare services. The conclusion that can be drawn is that healthcare must develop digital healthcare services that focus on six factors in the form of personalized -, communicative -, financial -, technological -, ethical - and psychological accessibility.

This thesis aimed to investigate ways to conduct participatory research practices that would gain knowledge of participants' relationships and experiences with/in their physical home environment by using a design probe. Through the probe, a new approach to participatory design research was formulated. This approach gives agency to participants through elements of auto-ethnography, thus shifting the traditional power structures that often exist between participants and designers. This new type of research could yield greater intimacy and mutuality between designers and their participants. Due to this, it has the potential to be meaningful when designing for the home environment, and therefore can be used for research and design within the Internet of Things.

Newer technologies are being developed all the time in order to help us in our daily tasks. Smart Assistant (SA) is one such broad category of devices which, when instructed through speech or command, perform certain tasks. Most SAs have two primary tasks: identify the user, and perform the taskcommunicated by the user. The task of identification can be achieved in severalways and one such method involves face recognition interface integrated within SA. Further interaction with the user is achieved via either a touch screen or a speech-based interface integrated within SA. Since the primary objective of a SA involves interaction with an individual user, it is necessary to identify users' concerns related to the usability of SA.In this thesis, the goal is to perform a usability study of Smart Assistant(SA) in the context of providing assistance in scheduling meetings at the workplace. Adopting a qualitative approach and we performed the usability study by designing a questionnaire to document public perception of new technologies like a smart assistant. We performed an online survey and collected responses from a section of the population. We also performed a similar survey with employees at Cybercom who have experience in interacting with the SAbeing developed in their company, and which is meant for providing assistance in scheduling meetings.In the process, we also provide relevant background literatureon human-computer interaction to contextualize the results of our survey. Themain outcome of this work is a list of guidelines to be followed for developing asocially interactive speech-based SA.The results of our survey indicate that there are several privacy and security related concerns that users have when using a face recognition interface and speech-based interaction. Although some of the concerns require technological advancements, a few of the concerns can be addressed by adopting certain suggested strategies.

I dagens samhälle blir många saker smartare, främst med hjälp av Internet of Things.En överblick på smart shopping visar att flera alternativa sätt att shoppa på harintroducerats under de senaste åren för att förbättra och effektivisera shopping. Någraav dessa är online-shopping och självtjänster som inkluderar självutcheckningar ochhandhållna skannrar. Detta har varit ett framgångsrikt tillvägagångssätt, vilket kanses av det faktum att en av de största dagligvaruhandelskedjorna i Sverige, ICA, har1,5 miljoner kunder i sitt lojalitetsprogram där cirka 30% av dessa använderhandhållna skannrar. Dessa 30% ger cirka 60% av ICAs totala intäkter i några avderas största butiker. En av de stora utmaningarna med självbetjäning är dock att deär mycket dyrt, då ett system för en genomsnittlig butik i Sverige kan kosta cirka 1,5miljoner SEK. Detta gör det svårt för mindre butiker att erbjuda denna tjänst. Ett sättatt överkomma detta kan vara att skapa en applikation för smartphone-shopping(Smart Cart-app) med en användarcentrerad design, som med största sannolikhetsänker kostnader samt sparar tid. Tidigare forskning har visat försök på liknandeteknologies, men vissa av dessa hade begränsningar i presentationen av sin design ochanvändardata/användarforskning. Denna studie syftar till att undersöka möjlighetenatt utforma en Smart Cart-applikationsprototyp med en användarcentrerad designbaserad på Human-Computer Interaction (HCI) för att utvidga på tidigare förslag.Användardata, som har analyserats för att hitta viktiga punkter och önskemål idesign, har samlats in genom ett frågeformulär med 275 deltagare och intervjuer med3 personer. Denna data har använts tillsammans med information från enlitteraturöversikt för att utforma prototypen för Smart Cart-appen, som är envisualisering av studieresultaten. Prototypen stöds av en analys som visar varför det ärviktigt att involvera användare i designprocessen och vad som bör beaktas när mangör detta. Studien fann också en begäran efter en sådan app, då exempelvis 51,7% avsjälvscannande kunder skulle överväga att använda den. Dessutom stöder resultatenockså det faktum att om användaren accepterar och har en bekantskap med vissafunktioner i applikationen, är de mer benägna till att ta an applikationen. Majoritetenav deltagarna har en positiv inställning till applikationer inom smart shopping och harliknande önskemål om funktioner och utseende.Slutligen behövs framtida forskning om olika aspekter och synpunkter förvidareutveckling av Smart Cart-applikationen och andra liknande applikationer / In today's society, many things are becoming smarter, mostly with the help of theInternet of Things. Taking a look at smart shopping, several optional ways of shoppinghave been introduced in recent years to enhance and streamline shopping. Some ofthese are online shopping and self-services which include self-checkouts and handheldscanners. This has been a successful approach, which can be seen by the fact that oneof the biggest grocery shopping chains in Sweden called ICA has 1.5 million customersin their loyalty program where around 30% of these use handheld scanners. These30% bring about 60% of ICAs total revenue in some of their biggest stores. However,one of the major challenges with self-services is that they are very expensive, as asystem for an average sized store in Sweden can cost around 1.5 million SEK, whichmakes it difficult for smaller stores to offer this service. A way of combating this couldbe to create a smartphone shopping application (Smart Cart app) with a user-centereddesign, which has a strong likelihood to lower the costs as well as save time. Previousresearch has shown attempts of similar technologies, however, some of these hadlimitations in the presentation of their design and user research. This study aims toexplore the possibility of designing a Smart Cart application prototype with auser-centered approach based on Human-Computer Interaction (HCI) to extend uponprevious proposals.User data, which has been analyzed to find key points in design, has been gathered bya questionnaire with 275 participants and interviews with 3 people. This data has beenused together with information from a literature review in order to design the SmartCart app prototype, which is a visualisation of the study results. The prototype issupported by an analysis which shows why it is important to involve users in thedesign process and what should be considered when doing so. The study also found adesire for such an app as, for instance, 51.7% of self-scanning customers wouldconsider using it. In addition, results also support that when users accept and arefamiliar with certain functionalities in applications, they are more likely to adopt theapplication. The majority of the participants have a positive attitude towardsapplications in smart shopping and have similar desires of functions and appearance.Lastly, future research is needed on different aspects and point of views for furtherdevelopment of the Smart Cart application and other similar applications.