This study proposes a performance comparison between machine learning regression algorithms and Artificial Neural Network (ANN). The regression algorithms used in this study are Multiple linear, Least Absolute Selection Operator (Lasso), Ridge, Random Forest. Moreover, this study attempts to analyse the correlation between variables to determine the most important factors that affect house prices in Malmö, Sweden. There are two datasets used in this study which called public and local. They contain house prices from Ames, Iowa, United States and Malmö, Sweden, respectively.The accuracy of the prediction is evaluated by checking the root square and root mean square error scores of the training model. The test is performed after applying the required pre-processing methods and splitting the data into two parts. However, one part will be used in the training and the other in the test phase. We have also presented a binning strategy that improved the accuracy of the models.This thesis attempts to show that Lasso gives the best score among other algorithms when using the public dataset in training. The correlation graphs show the variables' level of dependency. In addition, the empirical results show that crime, deposit, lending, and repo rates influence the house prices negatively. Where inflation, year, and unemployment rate impact the house prices positively.

My task was to create an e-commerce solution or web shop that is integrated with PayPal system. The intent of this paper is to show how this e-commerce web application was built and integrated with the PayPal system.

The underlying technology used in the implementation of the application includes .Net 2.0 framework (ASP.Net 2.0 and C# 2005 and Express edition of SQL Server 2005)

This study proposes a performance comparison between two Java applications with two different programming approaches, machine learning, and traditional programming. A case where both machine learning and traditional programming can be applied is a classification problem with numeric values. The data is heart disease dataset since heart disease is the leading cause of death in the USA. Performance analysis of both applications is carried to state the differences in four main points; the development time for each application, code complexity, and time complexity of the implemented algorithms, the classification accuracy results, and the resource consumption of each application. The machine learning Java application is built with the help of WEKA library and using its NaiveBayes class to build the model and evaluate its accuracy. While the traditional programming Java application is built with the help of a cardiologist as an expert in the field of the problem to identify the injury indications values. The findings of this study are that the traditional programming application scored better performance results in development time, code complexity, and resource consumption. It scored a classification accuracy of 80.2% while the Naive Bayes algorithms in the machine learning application scored an accuracy of 85.51% but on the expense of high resource consumption and execution time.

Detta arbete syftar till en jämförelse av olika skrivbordsvirtualiserings produkter och hur respektive miljö ser ut. I utredandeavsnittet presenteras information om skrivbordsvirtualiserings olika lösningar och hur de fungerar. Arbetet redogör för de två stora aktörerna inom detta område, Citrix och VMware. Utredandeavsnittet presenterar även lite information om Nvidias grafiklösningar i de olika miljöerna. Genomförandeavsnittet presenterar information från intervjuer med representanter från de två stora aktörerna. Arbetet presenterar även information från en representant från Nvidia, USA. Intervjuerna har skett via e-mail eftersom personligt möte varit väldigt svårt att lösa. Intervjuerna behandlar frågor om respektive lösning om hur de fungerar och även om användarvänlighet och åtkomst för användare. Fokus ligger på användarvänlighet och åtkomst för användare i respektive lösning. Efter arbetet kan det dras några slutsatser. Främst att de två miljöerna som undersökts är ganska lika när det gäller virtualisering av skrivbord. De är uppbyggda på liknande sätt och fungerar på nästan samma sätt när det gäller åtkomst för användare.

Forskning visar att det är vanligt med hjärtstopp utanför sjukhusen och att de oftast har en dödlig utgång om de inte får vård snarast. Många hjärtstopp sker i privata miljöer där det inte finns någon hjärtstartare, en familjemedlem eller utomstående som kan hjälpa till. Syftet med denna studie är att ta reda på hur ett distansövervakningssystem med ett användargränssnitt via en app kan utformas för att realtidsdiagnostisera hjärt-och kärlsjuka patienter utanför sjukhuset och påskynda utryckning vid hjärtstillestånd. Studien har utgått ifrån konceptdriven designforskning med en kvalitativ ansats och intervjuer med både öppna och stängda frågor. Individerna som har intervjuats är kardiologer som jobbar på den kardiologiska avdelningen på Länssjukhuset Ryhov i Jönköping. Den valda metoden har kombinerats med en litteratursökning inom sjukvårdsteknik och UX/UI-design. Studien resulterar i ett förslag på ett användargränssnitt, via en app, som erbjuder hälsoöversikt och realtidsdiagnostisering. Med hjälp av denna statistik kan algoritmer meddela användaren i appen om deras värden är normala eller onormala. Algoritmerna kan också varna användaren via notiser vid allvarliga hälsoförändringar när användaren behöver akut vård. Appen erbjuder också platslokalisering och att SOS-alarm kan direktlarmas vid de allvarliga hälsoförändringarna. Utryckning kan då påskyndas genom att SOS-alarm skickar en ambulans till platsen som patienten befinner sig på omgående.

Digitaliseringens framfart skapar problem för seniorer som har svårt att hänga med i den moderna teknikens utveckling. Samtidigt har Sveriges regering satt som mål att år 2025 ha digitaliserat hälsovården. I samband med trenden att använda sig av platt design i digitala plattformar försvåras seniorers situation ytterligare och kan ha en negativ effekt i hänseende att utöka den digitala klyftan.

Tidigare forskning visar att den platta designens formspråk är svårare att förstå än den traditionella, skeumorfa design som tidigare använts, då platt design saknar affordanser. Detta examensarbete har haft för avsikt att undersöka huruvida platt design är svårare för seniorer att förstå jämfört med traditionell, skeumorf design, samt se hur designprincipen affordans skulle kunna avhjälpa problemet med förståelsen av platt design.

Examensarbetet har vägletts av frågeställningen: Hur påverkas seniorers förståelse av platt design i jämförelse med traditionell design i kontexten av webbplatser och vilken betydelse har affordans för att stödja deras förståelse? För att besvara frågeställningen har en kvantitativ enkätundersökning samt en kvalitativ observationsstudie utförts i syfte att utreda frågeställningens variabler utifrån tidigare teorier. Resultatet visar att affordans inte tycks ha någon betydelse för hur seniorer förstår ett designgränssnitt. Däremot syns indikationer för att designprinciper som visuella ledtrådar, eller signifiers, är av stor vikt att ta hänsyn till vid framtagande av design för en senior målgrupp. 

In this research we study what is the theoretical complexity of Neo4J, OrientDB and GraphDB, (three known Graph Databases that can be accessed by a Java instance), and how this complexity is manifested in a real life performance, To study their practical performance, a software was implemented and named as a profiler, which is capable to profile, (to record the time that is needed), each operation, and display the results in an accurate and organized manner. The technical documentation of those 3 databases was reviewed as well, to identify how the databases work, and what are their strong and weak points. By the profiling process, the best performance was displayed by Neo4J, and while OrientDB failed to deliver, GraphDB takes the second place in terms of performance. We can identify a potential in OrientDB’s approach, but its structure is too complex and rigid. Neo4J has a robust structure and an architecture that gives to it a great performance, while the Cypher syntax, which Neo4J uses, minimizes the possibility of human error. GraphDB is optimized for large scale public-data operations but performs well as a stand-alone solution as well.

This paper introduces a novel study on the performance of Stochastic DiffusionSearch (SDS) – a swarm intelligence algorithm – to address DNA sequence assembly problem. This is an NP-hard problem and one of the primary problems in computational molecular biology that requires optimisation methodologies to reconstruct the original DNA sequence. In this work, SDS algorithm is adapted for this purpose and several experiments are run in order to evaluate the performance of the presented technique over several frequently used benchmarks. Given the promising results of the newly proposed algorithm and its success in assembling the input fragments, its behaviour is further analysed, thus shedding light on the process through which the algorithm conducts the task. Additionally, the algorithm is applied to overlap score matrices which are generated from the raw input fragments; the algorithm optimises the overlap score matrices to find better results. In these experiments realworld data are used and the performance of SDS is compared with several other algorithms which are used by other researchers in the field, thus demonstrating its weaknesses and strengths in the experiments presented in the paper.

During the past decade, tangible sensor technologies have matured and become less expensive and easier to use, leading to an explosion of innovative musical designs within video games, smartphone applications, and interactive art installations. Interactive audio has become an important design quality in commercially successful games like Guitar Hero , and a range of mobile phone applications motivating people to interact, play, dance, and collaborate with music. Parallel to the game, phone, and art scenes, an area of music and health research has grown, showing the positive results of using music to promote health and wellbeing in everyday situations and for a broad range of people, from children and elderly to people with psychological and physiological disabilities. Both quantitative medical and ecological humanistic research show that interaction with music can improve health, through music’s ability to evoke feelings, motivate people to interact, master, and cope with difficult situations, create social relations and experience shared meaning. Only recently, however, the music and health field has started to take interest in interactive audio, based on computer-mediated technologies’ potential for health improvement. Here, we show the potential of using interactive audio in what we call interactive musicking in the computer-based interactive environment Wave. Interactive musicking is based on musicologist Christopher Small’s concept “musicking”, meaning any form of relation-building that occurs between people, and people and things, related to activities that include music. For instance, musicking includes dancing, listening, and playing with music (in professional contexts and in amateur, everyday contexts). We have adapted the concept of "musicking" on the design of computer-based musical devices. The context for this chapter is the research project RHYME. RHYME is a multidisciplinary collaboration between the Centre for Music and Health at the Norwegian Academy of Music, the Oslo School of Architecture and Design (AHO), and Informatics at the University of Oslo. Our target group is families with children with severe disabilities. Our goal is to improve health and wellbeing in the families through everyday musicking activities in interactive environments. Our research approach is to use knowledge from music and health research, musical composition and improvisation, musical action research, musicology, music sociology, and soundscape studies, when designing the tangible interactive environments. Our focus here is interaction design and composition strategies, following research-by-design methodology, creating interactive musicking environments. We describe the research and design of the interactive musicking environment Wave, based on video documentation, during a sequence of actions. Our findings suggest some interactive audio design strategies to improve health. We base the design strategies on musical actions performed while playing an instrument, such as impulsive or iterative hitting, or sustainable stroking of an instrument. Musical actions like these can also be used for musicking in everyday contexts, creating direct sound responses to evoke feelings that create expectations and confirm interactions. In opposition to a more control-oriented, instrument and interface perspective, we argue that musical variation and narrative models can be used to design interactive audio, where the audio is seen as an actor taking many different roles, as instrument, co-musician, toy, etc. In this way, the audio and the interactive musicking environments will change over time, answering with direct response, as well as nose-thumbing and changing response, motivating creation, play, and social interaction. Musical variation can also be used to design musical backgrounds and soundscapes that can be used for creating layers of ambience. These models create a safe environment and contribute to shared meaning.

Based on experiences from practical design work, we try to show, what we believe, are the similarities and differences, between composing music for interactive media compared to linear music. In our view, much is the same, built on traditions that have been around for centuries within music and composition. The fact that the composer writes programming code is an essential difference. Instead of writing one linear work, he creates infinite numbers of potential musics that reveal themselves as answers to user interactions in many situations. Therefore, we have to broaden our perspectives. We have to put forward factors that earlier was implicit in the musical and music making situations, no matter if it was the concert hall, the church, or the club. When composing interactive music we have to consider the genre, the potential roles the listener might take, and the user experience in different situations.

We investigate the potential of different pre-fetching and/or caching strategies for different user behaviour with respect to surfing or browsing in a catch-up-TV network. To this end we identify accounts and channels associated with strong or weak surfing or browsing respectively and study the distributions of hold times for the different types of behaviour. Finally we present results from a request prediction model and a caching simulation for the different types of behaviour and find that the results are relatively similar.

The purpose of this study is to compare the two architectural techniques REST and GraphQL. This thesis will compare the two techniques and what defines them. A literature study and experimental study are carried out by the researchers. Four applications have been developed that include the ability to disable and to enable caching for both technologies to test the performance effect of caching. Earlier work has not covered the effects on caching related to these two frameworks. The literature study results point to that REST services are up to date and GraphQL is a technique with a shorter history, but that has declared growth in the industry and is a well suited choice for example when bandwidth matters in mobile phone applications. In the experimental study the tests showed slightly better results on average for REST API in terms of total response time (ms). Depending on the intended project there are many factors that need to be evaluated before making a decision on which framework to use. 

Projektet har till syfte att undersöka den revolutionerande tekniken bakom IP-telefoni. Eftersom tekniken är relativt ung så finns det fortfarande mycket att lära om hur det fungerar och hur den används. Projektet behandlar fördelar och nackdelar samt vilka hot som finns och hur man kan känna sig säker när man använder IP-telefoni till vardags. Det primära objektivet med projektet är att få en helhetsbild och förstå hur tekniken verkligen fungerar.

Vidare behandlas telefonens historia då det är viktigt att se var tekniken har sina rötter och hur den utvecklats sedan dess. Som en röd tråd från telefonens teknologi och det publika telefonnätets rötter görs en jämförelse mellan de två teknologierna för att se skillanderna och förmodade fördelar och nackdelar med de båda systemen. Olika sorters protokoll som har ett nära förhållande till IP-telefoni så som SIP, RTP, UDP och IP behandlas. För att få en sanningsenlig bild över hur vardagliga användare upplever IP-telefoni så har en enkätundersökning angående vanor och möjliga problem gjorts hos de anställda på Region Skåne.

The fast growth of Internet traffic, the growing importance of cellular accesses and the escalating competition between content providers and network operators result in a growing interest in improving network performance and user experience. In terms of network transport, different solutions ranging from tuning TCP to installing middleboxes are applied. It turns out, however, that the practical results sometimes are disappointing and we believe that poor testing is one of the reasons for this. Indeed, many cases in the literature limit testing to the simple and rare use case of a single file download, while common and complex use cases like web browsing often are ignored or modelled only by considering smaller files. To facilitate better testing, we present a broader view which includes domain counts, flow counts and different forms of concurrency to better characterise the complexity around web pages, and from which the potential for different optimisation techniques can be estimated. We also derive numerical values of these metrics for a small set of popular web pages and study similarities and differences between pages with the same kind of content (newspapers, e-commerce and video) and between pages designed for the same platform (computer and smartphone).

Streaming video continues to experience unprecedented growth. This underscores the need to identify user-centric performance measures and models that will allow operators to satisfy requirements for cost-effective network dimensioning delivered with an acceptable level of user experience. This paper presents an analysis of two novel metrics in the context of fixed capacity links: (i) the average proportion of a video’s playing time during which the quality is reduced and (ii) the average proportion of videos which experience reduced quality at least once during their playing time, based on an M/M/∞ system. Our analysis is shown to hold for the more general M/G/∞ system for metric (i), but not for (ii) and simulation studies show an unexpected form of sensitivity of metric (ii) to the flow duration distribution, contrary to the norm of increasing variance causing worse performance. At typical operational loads these new metrics provide a more sensitive and information rich guide for understanding how user experience degrades, than the widely used average throughput metric does. We further show that only the combined use of this existing and our new metrics can provide a holistic perspective on overall user performance.

Mobile wireless networks constitute an indispensable part of the global Internet, and with TCP the dominating transport protocol on the Internet, it is vital that TCP works equally well over these networks as over wired ones. This paper identifies the performance dependencies by analyzing the responsiveness of TCP NewReno and TCP CUBIC when subject to bandwidth variations related to movements in different directions. The presented evaluation complements previous studies on 4G mobile networks in two important ways: It primarily focuses on the behavior of the TCP congestion control in medium- to high-velocity mobility scenarios, and it not only considers the current 4G mobile networks, but also low latency configurations that move towards the overall potential delays in 5G networks. The paper suggests that while both CUBIC and NewReno give similar goodput in scenarios where the radio channel continuously degrades, CUBIC gives a significantly better goodput in scenarios where the radio channel quality continuously increases. This is due to CUBIC probing more aggressively for additional bandwidth. Important for the design of 5G networks, the obtained results also demonstrate that very low latencies are capable of equalizing the goodput performance of different congestion control algorithms. Only in low latency scenarios that combine both large fluctuations of available bandwidths and a mobility pattern in which the radio channel quality continuously increases can some performance differences be noticed.

The quality attribute concerning usability is generally of significant importance to systems. The area of Human Computer Interaction, HCI, especially handles several usability aspects. This degree project emphasizes HCI in a context of, so called, Smart House. The report is divided into three main sections: theory, application, and measurement results. In the theory section we will present about the context of HCI and the content of HCI, such as HCI model and goals of HCI design. In the application section we discuss the use of mobile phones as a device to remotely control devices of smart houses, and present a system developed to support such services. In order to make the system more attractive, we decided to design it for two categories of operations, menu operation and direct-touch operation mode. Finally, we have used questionnaires for reasons of measuring user satisfaction. Through investigation and analysis of the result of this, we come to the conclusion that system usability is good.

Near Field Communication (NFC) is being used more frequent in smart devices, this raises security concerns whether the users information is secure from attackers. The thesis examines the threats that NFC on Android smartphones are exposed to, its countermeasures, as well as existing protocols that ensures the integrity and confidentiality of the users data. The results were achieved by a literature study, a questionnaire sent to companies that create products related to the subject as well as an experiment that was divided into two parts. The first part examined what information can be extracted from a debit card stored on an Android smartphone. The second part included a relay attack in which a purchase would be made with a victim’s debit card by using Android smartphones. The results shows that it is difficult to conduct any attack on the smart devices because of the limited range of NFC as well as the protocols available for making purchases with debit cards stored on smart devices disallows unauthorized applications and hardware to attack cards stored in smart devices.

Mycket av människors vardagliga kommunikation sker idag digitalt, i en virtuell värld, där man ofta är mer närvarande än i det faktiska nuet. Denna uppsats handlar om vad konsekvenserna blir för aktiva användare ur nätgenerationen när de går offline från sociala medier under en veckas tid. Resultatet i den här uppsatsen bygger på empiri som samlats in genom en netnografisk studie. Studien har gått ut på att observera och följa 12 deltagares upplevelser och hur de påverkats av att vara utan sociala medier under en veckas tid. Den data som genererats i denna undersökning är resultat från deltagarnas personliga dagboksanteckningar, ifyllda enkäter och två intervjuer. Undersökningens syfte är att ta reda på vad som händer när man går emot strömmen i dagens samhälle och loggar ut. Om man själv påverkas och hur det tas emot av omgivningen. Deltagarna uttryckte det som tufft till en början att vara utan sociala medier, men medger att de efter studien avslutats, kunde se flera positiva effekter med att vara offline. Flertalet av informanterna upplevde en viss lättnad i att inte ständigt finnas tillgängliga online. Resultatet av den här studien visar att användningen av sociala medier är till stor del en rutinmässig vana, som man klarar sig bra utan. Studiens deltagare har saknat kommunikationen via sociala medier i jobb- och skolsammanhang, annars anser de sig inte ha missat något av större värde. Resultatet visar även att majoriteten av deltagarna mått bättre av att vara offline än online, och de kommer att vara mer observanta på sin sociala medie användning i framtiden och försöka dra ner på den. Deltagarna anser det vara mycket mer värt att vara närvarande i nuet kontra den virtuella världen, att man varit mer social utan sociala medier. Denna studie är ett viktigt kunskapsbidrag för designers inom digital teknik då studier som behandlar ickeanvändning är ett relativt outforskat område och en kartläggning av icke-användningen kan vara en bra metod för att hjälpa designers att designa bra och användarvänlig design i framtiden. Jag ser denna studie som en förstudie för framtida forskning av icke-användning där studien pågår under en längre tid.

Tidigare mänskliga aktiviteter påverkar de klimatförändringarna som vi ser idag. Ett miljövänligare val i en stadsmiljö är att använda kollektivtrafiken, men både bilar och bussar släpper ut mängder av koldioxid och farliga partiklar. Det optimala hade varit att få fler människor att välja cykeln istället för bilen eller kollektivtrafiken eftersom användningen av cyklar inte påverkar miljön eller människors hälsa negativt.

För att ändra människors beteende genomfördes en studie om vilka gamification-mekanismer som skulle kunna fungera inom detta område. Målgruppen tillhörde till största del spelarkategorin fria själar men blev motiverade av mekanismer från alla olika kategorier. Man kan utifrån resultatet dra slutsatsen att ifall man ska använda sig av gamification inom detta område behöver man jobba på olika sätt mot olika målgrupper och framför allt hitta vilka olika grupper som finns och vilka mekanismer som motiverar de olika gupperna för att ta fram de mest optimala mekanismerna.

Det här arbete behandlar grunderna i penetrationstestning, vilket är en metod föratt kontrollera säkerheten i datorer och nätverk genom att försöka sätta in sig isamma tankesätt och metoder som en potentiell angripare kan ha.Den teoritiska delen går igenom processen för hur ett penetrationstest kan gå tilloch vad som är viktigt att veta och att tänka på under penetrationstestet.Det presenteras även några populära och användbara verktyg som kananvändas för penetrationstestning, nämligen Nmap, Backtack, Nessus ochMetasploit, samt en nogrann beskrivning av några av de mest vanligtvisförekommande allvarliga sårbarheterna.I genomförandedelen utförs ett penetrationstest i en labmiljö, och sätter då deninformation i den teoritiska delen i praktik. De verktygen som används gåsigenom mer detaljerat och olika metoder för att använda dessa verktyg ipenetrationstestningssyfte testas.Penetrationstestet gås igenom stegvis, och börjar med att hitta maskiner pånätverket och även hitta detaljerad information och möjligheter för angrepp. Deninformationen används sedan för att hitta sårbarheter i maskinerna, och slutligenutnyttjas dessa sårbarheter för att installera ett remote-access program och gekontrollen till den angripande datorn.

This degree project deals with the creation of a business system for Gamersneed Sweden.

The system is divided into two parts, one windows appliction and one websolution.

Deep learning has become ubiquitous as part of Optical Character Recognition (OCR), but there are few examples of research into whether the two technologies are feasible for deployment on a mobile platform. This study examines which particular method of OCR would be best suited for a mobile platform in the specific context of a prescription medication label scanner. A case study using three different methods of OCR – classic computer vision techniques, standard deep learning and specialised deep learning – tested against 100 prescription medicine label images shows that the method that provides the best combination of accuracy, speed and resource using has proven to be standard seep learning, or Tesseract 4.1.1 in this particular case. Tesseract 4.1.1 tested with 76% accuracy with a further 10% of results being one character away from being accurate. Additionally, 9% of images were processed in less than one second and 41% were processed in less than 10 seconds. Tesseract 4.1.1 also had very reasonable resource costs, comparable to methods that did not utilise deep learning.

Samhället blir allt mer digitaliserat för var dag som går och med denna utveckling har e-handeln under de senaste decennierna kontinuerligt vuxit sig större.  

I den växande e-handeln existerar det dock ett problem som leder till stora monetära förluster för aktörer i detaljhandeln. Enligt aktuell statistik överger över två tredjedelar av alla kunder i e-handeln sina fyllda varukorgar utan att avsluta sina köp. Anledningarna bakom detta pekar i vissa fall på känslor som uppstår hos användare på grund av hur webbutiker är uppbyggda och fungerar.  

Denna studie har med bakomliggande problemområde som anledning därför undersökt hur design skulle kunna tillämpas för att öka slutförandet av köp i webbutiker.  

För att besvara denna fråga har en kvalitativ undersökning gjorts där intervjuer konstruerade efter tidigare forskning inom området och forskningsfrågan utfördes med personer som frekvent använder webbutiker och som även vid något tillfälle har lagt produkter i sin varukorg för att sedan lämna webbutiken utan att slutföra sitt köp.  

Resultaten från dessa intervjuer och den efterföljande analysen hittade de två användningsområdena ”Navigationssystem” och ”Kassa och varukorg” och tillhörande designriktlinjer som ska tillämpas i användningsområdena för att öka slutförandet av köp i webbutiker. Slutligen gestaltades även designförslag för att visualisera dessa användningsområden och designriktlinjer.

Syftet med uppsatsen var att undersöka hur man med hjälp av digital design kan stödja den psykiska hälsan hos individer i USA under Covid-19 pandemin. Covid-19 är den första pandemin som utspelar sig i ett utvecklat digitalt samhälle där både mHealth/telehealth-design är välstuderat. Studien undersöker specifikt hur designelement för en mHealth-applikation kanen mHealth-applikation kan stödja en stor grupp användare under en global pandemi. Uppsatsen undersöker hur design kan öka användandet av mHealth för att söka hjälp mot psykisk ohälsa, som uppstått på grund av isolering till följd av den amerikanska statens riktlinjer under Covid-19 pandemin. Med hjälp av tidigare forskning gällande designriktlinjer för mHealth-applikationer, inkluderande design och element att tänka på när man designar applikationer för psykisk ohälsa, framtogs en prototyp av en mHealth-applikation. Denna prototyp testades därefter av sex respondenter som alla lider av depression till följd av isolering. Efter think aloud-observation under testandet av prototypen genomfördes en kvalitativ intervju för att undersöka respondenternas upplevelse av applikationen. Resultatet av studien påpekar vikten av användarens integritet, inkluderande design och element som efterfrågats i tidigare studier av mHealth-applikationer. Dessa resultat stödjer också de åtaganden tidigare forskninglagt fram och i sin tur visar denna studie att en mobilapplikation kan designas föratt stödja människor med deras psykiska ohälsa i relation till Covid-19 isoleringen.

The accelerating progress in network speeds and computing power permitted the architectural design paradigm to shift from monolithic applications to microservices. The industry moved from single-core and multi-threads, code-heavy applications, running on giant machines 24/7 to smaller machines, multi-cores single threads where computing power and memory consumption are managed very critically. With the advent of this novel approach to designing systems, traditional multi-tier applications have been broken down into hundreds of microservices that can be easily moved around, start, and stop quickly. In this context, scaling assumed a new meaning, rather than scaling up by adding more resources or computing power, now systems are scaled dynamically by adding more microservices instances. This contribution proposes a theoretical study and a practical experiment to investigate, compare and outline the performance improvements aid by the implementation of Protocol Buffers, Google's language-neutral, binary-based representational data interchange format over traditional text-based serialization formats in a modern, Cloud-Native, REST-based Java Microservice architecture. Findings are presented showing promising results regarding the implementation of Protobuf, with a significant reduction in response time (25.1% faster in the best-case scenario) and smaller payload size (72.28% better in the best-case scenario) when compared to traditional textual serialization formats while literature revealed out-of-the-box mechanisms for message versioning with backward compatibility.

Montage in cinema means to mount images andsounds from different sources, that are interpreted together and whose oppositions drive the storyfurther. In this paper we develop the montage concept further for co-creation in interactive, tactile, spatial cross-media. As case we use the design of the interactive, tangible, cross-media installation ORFI. ORFI is developed to facilitate collaboration and co-creation between children with severe disabilities and their care persons. In this paper we focus on how we have designed for interactive montage. We present two main types of interactive montage, close and shifted in three dimensions (spatial, temporal and actorial). With the first we mean spatial and temporal closeness, depending on the roles users take and the interpretations they make. With shifted we mean how to use spatial and temporal shifting and distance between the media elements in space and over time, depending on the users’ roles and interpretations. All this to encourage co-creation over time, between a variety of users in different situations.

The traditional role of the musical instrument is to be the working tool of the professional musician. On the instrument the musician performs music for the audience to listen to. In this paper we present an interactive installation, where we expand the role of the instrument to motivate musicking and co-creation between diverse users. We have made an open installation, where users can perform a variety of actions in several situations. By using the abilities of the computer, we have made an installation which can be interpreted to have many roles. It can both be an instrument, a co-musician, a communication partner, a toy, a meeting place and an ambient musical landscape. The users can dynamically shift between roles, based on their abilities, knowledge and motivation.

In this paper we want to explore Field as a concept and as a metaphor for understanding interactive systems. By interactive systems we mean both systems and artworks, where the user by interacting changes the course of events. We intend to show why we need new terms and why we consider Field to be a fruitful concept and term. Further we will show how the Field concept changes both our understanding of what we do as designers and composers and how we acknowledge our audience. We will exemplify the design consequences of the Field concept by going through some design considerations we made when designing the audio tactile installation Mufi.

The prisoner's dilemma has evolved into a standard game for analyzing the success of cooperative strategies in repeated games. With the aim of investigating the behavior of strategies in some alternative games we analyzed the outcome of iterated games for both the prisoner's dilemma and the chicken game. In the chicken game, mutual defection is punished more strongly than in the prisoner's dilemma, and yields the lowest fitness. We also ran our analyses under different levels of noise. The results reveal a striking difference in the outcome between the games. Iterated chicken game needed more generations to find a winning strategy. It also favored nice, forgiving strategies able to forgive a defection from an opponent. In particular the well-known strategy tit-for-tat has a poor successrate under noisy conditions. The chicken game conditions may be relatively common in other sciences, and therefore we suggest that this game should receive more interest as a cooperative game from researchers within computer science.

The scope of this thesis is to determine whether Machine Learning techniques used in predictingtraditional sports results are relevant in predicting electronic sports results. Moreover, it exploreswhether there is a hidden pattern in a team that leads to a win rather than just plain team composition.The selected video game from electronic sports was Teamfight Tactics. The literature study wasconducted on journals, articles and projects that predicted traditional sports outcomes, from which theMachine Learning models were collected. Literature concerning Machine Learning algorithms, theiradvantages and caveats was studied as well for the scientific background and implementation. Finallythe experiment consisted in implementing models identified in literature study and analyzing the results.The experiment showed that predicting electronic sports with Machine Learning techniques used intraditional sports is not only relevant but also more accurate, due to the complex nature of the videogame and data availability which yields a dataset with high dimensionality and data points.The secondpart of the experiment showed that indeed there is a pattern in a team that leads to higher winningchances. It was demonstrated by encoding the dataset with word2vec (encoder used in naturallanguage processing) and visualizing the data through the Embedding Projector (a tool that showspatterns in data through clusters)

As a generalization to cyclic and consta-cyclic codes, quasi-twisted (QT) codes contain many good linear codes. During the last twenty years, a lot of record-breaking codes have been found by computer search for good QT codes. But due to the time complexity, very few QT codes have been reported recently. In this paper, a new iterative, heuristic computer search algorithm is presented, and a lot of new QT codes have been obtained. With these results, a total of 45 entries in the code tables for the best-known codes have been improved. Also, as an example to show the effectiveness of the algorithm, 8 better binary quasi-cyclic codes with dimension 12 and m = 13 than previously best-known results are constructed.

Quasi-twisted (QT) codes are a generalization of quasi-cyclic (QC) codes. Based on consta-cyclic simplex codes, a new explicit construction of a family of 2-generator quasi-twisted (QT) two-weight codes is presented. It is also shown that many codes in the family meet the Griesmer bound and therefore are length-optimal. New distance-optimal binary QC [195, 8, 96], [210, 8, 104] and [240, 8, 120] codes, and good ternary QC [208, 6, 135] and [221, 6, 144] codes are also obtained by the construction.

A code is said two-wight if the non-zero codewords have only two different weights w1 and w2. In this paper, it is generalized that a consta-cyclic code of composite length can be put in the quasi-twisted (QT) form. Based on this result, a new computer method of QT two-weight codes is presented. A large amount of QT two-weight codes are found, and several new codes are also constructed.

As a generalization of cyclic codes, quasi-cyclic (QC) codes contain many good linear codes. But quasi-cyclic codes studied so far are mainly limited to one generator (1-generator) QC codes. In this paper, 2-generator QC codes are studied, and many good 2-generator QC codes are constructed using simplex codes. A computer algorithm is given, and used to find the best possible 2-generator QC codes. Among those 2-generator QC codes constructed, some codes are two-weight codes.

Further results on the upper bounds for difference tri8nglesets (DTS) are derived from disjoint difference sets and additive sequencesof permutations, whit3 greatly improve the known bounds.

As a generalization of cyclic codes, quasi-cyclic codes contain many good linear codes. Extensive search is made and lots of good quasi-cyclic codes are obtained from irreducible cyclic codes. A new binary [95, 13, 40] code which improves the lower bound on the minimum distance, is also constructed.

An [n, k, d] code is a binary linear code of block length n, dimension k and minimum Hamming distance d. Since the minimum distance determines the error detection or correction capability, it is desired that d is as large as possible for the given block length n and dimension k. One of the most fundamental problems in coding theory is to construct codes with best possible minimum distances. This problem is very difficult in both theory and practice. During the last decades, it has proved that the class of quasi-cyclic (QC) codes contain many such codes. In this paper, augmentation of binary QC codes is studied. A new augmentation algorithm is presented, and 10 new h-generator QC codes that are better than previously known code have been constructed. Furthermore, Construction X has been applied to obtain another 18 new improved binary linear codes.With the standard construction techniques, a total of 124 new binary linear codes that improve the lower bound on the minimum distance have been obtained.

Based on cyclic simplex codes, a new construction of a family of two-weight codes is given. These two-weight codes are in a simple 2-generator quasi-cyclic form. Based on this construction, new optimal binary quasi-cyclic [195, 8, 96], [210, 8, 104] and [240, 8, 120] codes, good QC ternary  [195, 6, 126], [208, 6, 135], [221, 6, 144] codes are thus obtained. It was also shown that some codes that meet the Griesmer bound and thus are optimal. Furthermre, binary  self-complementary codes in a 3-generator quasi-cyclic form,  are also constructed.

New constructions of Steiner systems, majority logic decodable codes, and constant weight codes are presented. Comparisons with known results as well as examples are also given.

Twelve new binary quasi-cyclic codes, which improve the lower bounds on minimum distances for binary linear codes, are presented, and a Web database on best-known binary quasi-cyclic codes is constructed for public access.

Six new quasi-cyclic codes are presented, which improve thelower bounds on the minimum distance for a binary code. A localexhaustive search is used to find these codes and many other quasi-cycliccodes which attain the lower bounds.

One central problem in coding theory is to optimize the parameters of a linear code and construct codes with best possible parameters. There are tables of best-known linear codes over nite elds of sizes up to 9. Recently, there has been a growing interest in codes over GF(11), over GF(13) and other elds of size greater than 9. The main purpose of this work is to present new databases of best-known linear codes over the elds GF(11) and GF(13) together with upper bounds on the minimum distances. To nd good linear codes to establish lower bounds on minimum distances, an iterative heuristic computer search algorithm is employed to construct quasi-twisted (QT) codes over these elds with high minimum distances. A large number of new linear codes have been found, improving previously best-known results. Tables of [pm, m] QT codes over the two elds with best-known minimum distances as well as a table of lower and upper bounds on the minimum distances for linear codes of length up to 150 and dimension up to 6 are presented.

Error control codes have been widely used in data communications and storage systems. One centralproblem in coding theory is to optimize the parameters of a linear code and construct codes withbest possible parameters. There are tables of best-known linear codes over finite fields of sizes up to9. Recently, there has been a growing interest in codes over F13 and other fields of size greater than9. The main purpose of this work is to present a database of best-known linear codes over the fieldF13 together with upper bounds on the minimum distances. To find good linear codes to establishlower bounds on minimum distances, an iterative heuristic computer search algorithm is employed toconstruct quasi-twisted (QT) codes over the field F13 with high minimum distances. A large numberof new linear codes have been found, improving previously best-known results. Tables of [pm;m] QTcodes over F13 with best-known minimum distances as well as a table of lower and upper bounds onthe minimum distances for linear codes of length up to 150 and dimension up to 6 are presented.

One fundamental and challenging problem in coding theory is to optimize the parameters [n, k,d] of a linear code over the finite field Fq and construct codes with best possible parameters. There are tables and databases of best-known linear codes over the finite fields of size up to 9 together with upper bounds on the minimum distances. Motivated by recent works on codes over F₁₁, we present a table of best-known linear codes over F₁₁ together with upper bounds on minimum distances. Our table covers the range n ≤ 150 for the length, and 3 ≤ k ≤ 7 for the dimension. To the best of our knowledge, this is the first time such a table is presented in the literature. For the construction of the best-known codes, we employed an iterative heuristic search algorithm to search for new linear codes in the class of quasi-twisted (QT) codes. The search yielded many new codes with better parameters than previously known codes. In many cases, optimal codes are obtained. In addition to presenting a comprehensive table of best-known codes over F₁₁ of dimensions up to 7 with upper bounds on the minimum distances, we also present separate tables for the optimal codes and new QT codes over F₁₁. We hope that this work will be a useful source for further study on codes over F₁₁.

This article focuses on the distribution of backpack pressure on human body. We have noticed two interesting situations: whether the length of different backpack shoulder straps will change the pressure distribution of the backpack on the human body and whether different positions of the backpack load will change the pressure distribution of the backpack on the human body. To find the answer, we designed a backpack pressure detection system to collect data and use engineering software to analyse the data.We got the range that best fits the human body and the healthiest backpack: when the distance from the top of the backpack to the shoulder is about 1/5 of the length of the shoulder and the weight of the backpack is at the bottom of the backpack. At this time, the force of the three parts of the human body (shoulders, back) is the most uniform and relatively minimal. If the user wants to minimize the pressure on the shoulder, the shoulder strap of the backpack should be as short as possible. If the user only wants the pressure on the back to be minimal, the weight in the backpack is closer to the back, which is better for the back.

New constructions of regular disjoint distinct difference sets (DDDS) are presented. In particular,multiplicative and additive DDDS are considered.

SMS based pull campaign processing system is a new model of directory service provided in mobile infrastructure basically to enable SMS based directory services Mobile directory services is a brand new phenomenon, which hold strong promises to become the best targeting advertising medium delivering new means of services to users with message other than traditional channels (e.g.: print, television, radio and email etc).The main purpose of this system is to bring customers and business organizations closer .It enables SMS based directory services. It not only acts as directory services but also as an advertising medium between the user and the business organizations.