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Det här arbetet har syftat till att utvärdera möjligheterna till att använda Raspberry Pi 2, som en del av ett identifikationssystem i vårdmiljöer. Rapporten tar upp och utvärderar möjligheterna att använda olika hårdvara och mjukvara tillsammans med Raspberry Pi, så som olika RFID-läsare, operativsystem och styrmjukvara till RFID-läsarna. Rapporten tar även upp tidigare forskning och implementationer av RFID-användning i vårdmiljöer. Från början var målet att använda Snappy Ubuntu Core som operativsystem, men laborativt arbete visade att Snappy Ubuntu Core inte riktigt hade vad som krävdes för att uppfylla syftet. Arbetet har resulterat i konstruerad mjukvara för att styra och läsa av RFID-kort med en av RFID-läsarna som testats, och det har även experimenteras med Node-RED tillsammans med RFID-mjukvaran.

High tunnels have been used successfully in many areas of the world to extend the growing season for numerous crops. However, very little research has been conducted to evaluate the season extension benefits offered by high tunnels to small fruit crops in high elevation growing areas such as the Intermountain West region of the United States. The use of high tunnels was investigated in North Logan, Utah (41.766 N latitude, 1405 m elevation, 119 freeze free days) to extend the growing season for both strawberries and raspberries. June-bearing `Chandler' strawberries in a fall-planted annual hill system were evaluated for early season production. High tunnels advanced spring strawberry production by approximately 3 weeks compared to field-grown plants. High tunnels were used for earlier planting and growth in a spring-planted day-neutral strawberry system. Day-neutral cultivars (`Albion', `Seascape', `Evie 2', and `Tribute') produced strawberries throughout the summer and into the fall with significantly higher yields from the high tunnel treatments than the field-grown plants. High tunnels also extended late-season strawberry production until mid-December. The floricane-fruiting red raspberry `Tulameen' was evaluated for early season production, and primocane-fruiting `Caroline' was evaluated for late season extension. High tunnels were unable to provide sufficient winter protection for the cold-tender `Tulameen' at this location. Results from late season extension indicated that high tunnels could extend late season raspberry production by as much as three weeks. However, peak yields for `Caroline' were before the first fall frost, and a later fruiting cultivar would be more suitable. In addition to research results, this thesis contains chapters on practical management considerations for commercial producers, and enterprise budgets to assist in evaluating the economic costs and returns of high tunnel strawberry and raspberry production.

The purpose of this thesis is to determine the feasibility of using blockchain to implement proof of location. There has been an increasing demand for a way to create a validated proof of location that is economical, and easy to deploy as well as portable. There are several reasons for an increased demand in this technology including the ever-increasing number of mobile gamers that have been able to spoof their location successfully, the increasing number of on demand package shipments from companies such as Amazon, and the desire to reduce the occurrence of medical errors as well as holding hospitals accountable for their errors. Additional reasons that this technology is gaining popularity and increasing in demand is due the continually increasing number of lost baggage claims that airlines are receiving, as well as insurance companies desire to reduce the number of fraud cases that are related to high-value goods as well as increasing the probability of their recovery. Within the past year, there has been an extensive amount of research as well as work that has been completed to create an irrefutable method of location verification, which will permit a user to be able to create time-stamped documentation validating that they were at a particular location at a certain day and time. Additionally, the user is then permitted to release the information at a later date and time that is convenient for them. This research was completed using a Raspberry Pi 3B, a Raspberry Pi 3B+, two virtual Raspberry Pi’s as well as two virtual servers in which the goal was to download, and setup either Ethereum and/or Tendermint Blockchain on each piece of equipment. After completely synchronizing the blockchain it be used to store the verified location data that been time-stamped. There was a variety of issues that were encountered during the setup and installation of the blockchains on the equipment including overclocking processors, which negatively affected the computational abilities of the devices as well as causing overheating and surges in voltage as well as a variety of software and hardware incompatibilities. These issues when looked at individually appear to not have much of an impact on the results of this research but when combined together it is obvious that they reduced the results that could be obtained. In conclusion, the combination of hardware and software issues when combined with the temperature and voltage issues that were due to the overheating of the processor resulted in several insurmountable issues that could not be overcome. There are several recommendations for continuing this work including presyncing the blockchain using a computer, using a device that has more functionality and computational abilities, connecting a cooling device such as a fan or adding a heat sink, increasing the available power supply, utilizing an externally power hard drive for data storage, recreate this research with the goal in mind of determining what process or application was causing the high processor usage, or creating a distributed system that utilizes both physical and virtual equipment to reduce the amount of work on one type of device.

Master of Science / Department of Computing and Information Sciences / Mitchell Neilsen / The Raspberry Pi is a versatile computer for its size and cost. The research done in this project will explore how well the Raspberry Pi performs in a clustered environment. Using the Pi as the components of a Beowulf cluster will produce an inexpensive and small cluster. The research includes constructing the cluster as well as running a computationally intensive program called OpenFOAM. The Pi cluster's performance will be measured using the High Performance Linpack benchmark. The Raspberry Pi is already used for basic computer science education and in a cluster can also be used to promote more advanced concepts such as parallel programming and high performance computing. The inexpensive cost of the cluster combined with its compact sizing would make a viable alternative for educational facilities that don't own, or can't spare, their own production clusters for educational use. This also could see use with researchers running computationally intensive programs locally on a personal cluster. The cluster produced was an eight node Pi cluster that generates up to 2.365 GFLOPS.

Dagens enkortsdatorer skiljer sig mycket i hårdvara. Prestandamässigt skiljer sig dessutom datorerna åt beroende på vilket operativsystem som används samt vilket programmeringsspråk och bibliotek som används för I/O kommunikation. Vi har testat Raspberry Pi 3 och Intel Galileo Gen 2 med operativsystemen Linux och Windows 10 IoT Core. Program för att mäta tidsåtgång vid digitala läsningar, digitala skrivningar, analoga läsningar, uppstart och skrivning till SD-kort har utvecklats. Resultaten från dessa visar stora skillnader mellan systemen och vilket som lämpar sig bäst beroende på tillämpning. Operativsystem, programmeringsspråk och bibliotek har valts med tanke på en övergång från Arduino-system som arbetar i realtid. Tester har därför också utförts på enkortsdatorn Arduino Mega 2560 för att ge en uppfattning om vad en sådan övergång skulle innebära. / The single-board computers of today differ greatly in hardware. Performance-wise the computers also differ depending on what operating system and what programming language with certain libraries that are being used for I/O communication. We have tested Raspberry Pi 3 and Intel Galileo Gen 2 with the operating systems Linux and Windows 10 IoT Core. Programs to measure the time it takes to perform the actions of digital writing, digital reading, analog reading, booting the system and writing to an SD-card have been developed. The results show big difference between the systems and what system to use for what purpose. Operating systems, programming languages and libraries have been chosen with consideration for a transfer from Arduino systems operating in real-time. Tests have also been conducted on the singleboard computer Arduino Mega 2560 to provide an understanding on what such a transfer would entail.

PLC programming students are often limited to simulated systems or soft PLCs, because the high price of the hardware and the software licenses make it difficult for faculties to use real equipment for teaching. This paper describes the design and building of a PLC controlled self-balancing robot with CodeSys and Raspberry Pi as a low-cost demonstrator model that students can use as a base to interact with a real system. A first prototype has been developed, which can be used in the future to get students involved in beginner automation courses without having to build a system from scratch.

I detta examensarbete har en prototyp av digitaliserad munspegel framtagits. Användning av Raspberry Pi ökar kontinuerligt i världen vid olika projekt och applikationer eftersom Raspberry Pi är en mikrodator som är tillräckligt kraftfull, smidig och billig med oerhört stort stöd. Ett användningsområde för Raspberry Pi är hälsovården. Att skapa tekniska lösningar inom hälsovården är av stor efterfråga globalt. Denna rapporten centraliserar sig kring en teknisk lösning med fokus på tandvården. Muskuloskeletala sjukdomar (MSS) och smärta är ett omfattande hälsoproblem bland vårdpersonalen inom tandvården i västländerna. Tekniker för digitalisering och modernisering av medicinska produkter kan underlätta och säkerställa att patienten får en noggrannare vård samtidigt som vårdpersonalens arbete blir enklare på så sätt belastas mindre således elimineras en av faktorerna för MSS. Hur detta har lösts har varit målet med projektet och det grundar sig i att tillverka en prototyp av digitaliserad munspegel som möjligen kan inom snar framtid ersätta nutida munspeglar som är ett grundläggande verktyg inom tandvården och används i de flesta ingrepp. Prototypen har designats, skapats, programmerats och testats till specifikationskraven. Den kallas för Digital Dental Mirror (DDM). Metoden för att skapa ett sådant verktyg kräver kunskap inom mekanik-, elektro- och datateknik (design, hårdvara och mjukvara). Verktyg som har använts i detta projektet har varit bl.a. Raspberry Pi, endoskopkamera, styrservo, knappsats, C/C++ programmering och CAD-design (Solidworks). Resultat framställts i en färdig prototyp med önskade funktioner. Slutligen är protypen fullt fungerande men en bit ifrån marknadsfärdig produkt.

During the last few years, red raspberry growers in Utah have been finding that plantings gradually lose vigor and are not profitable. In the largest raspberry growing area in Utah, Utah County, figures taken from the U.S. census from 1930 to 1950, show a decrease in acres of raspberries grown from 401 in 1930 to 190 in 1950 (2). In many instances this deterioration of raspberry plantings in Utah has not been definitely associated with known plant pathogenic fungi or virus infections. Neither can the expansion of suburbs account for this decrease. In certain cases it has been obvious that other factors were involved. Since attention had already been directed to above-ground symptoms, the next logical step was to exam in the roots.

The United States is the third-largest producer of raspberries in the world. Washington State leads the nation in red raspberry (Rubus idaeus L.) production. 'Meeker', the most grown red raspberry cultivar in the Pacific Northwest (Washington, Oregon and British Columbia, Canada) is highly susceptible to Raspberry crumbly fruit, a virusinduced disease that produces drupelet abortion and reduces fruit quality and yield. The disease has long been attributed to Raspberry bushy dwarf virus (RBDV), a pollen-and-seed transmitted virus found in most commercial raspberry fields around the world. In recent years, an increased severity of crumbly fruit was observed in areas where two additional viruses were common. One of these viruses, Raspberry leaf mottle virus (RLMV), was characterized recently and shown to be a novel closterovirus transmitted by the large raspberry aphid Amphorophora agathonica Hottes. The second virus, Raspberry latent virus (RpLV) was a tentative member of the family Reoviridae whose characterization remained to be completed. To investigate the role of these two new viruses in the crumbly fruit disorder, 'Meeker' raspberry infected with single or mixtures of the three viruses, in all possible combinations, were generated by graft inoculation. Eight treatments, including a virus free control, were planted in the field at the Northwestern Research and Extension Center in Mt. Vernon, WA. Plant growth and fruit crumbliness were evaluated during establishment and the second year. Simultaneously, the characterization of RpLV, at the genetic and biological level, was completed. RpLV is a novel member of the plant Reoviridae composed of 26,128 nucleotides divided into 10 genomic dsRNA segments. Analysis of the RNA dependent RNA polymerase (RdRP) indicated that RpLV was related most closely to members of the genus Oryzavirus. However, the genomic terminal regions, conserved at the genus level in reoviruses, did not show homology to those of oryzaviruses, suggesting that RpLV may be a member of a new genus. It was found later, that RpLV was transmitted by A. agathonica. As all other plant reoviruses are transmitted by leaf- and planthoppers, these findings strongly support the creation of a new genus in the plant Reoviridae for the classification of RpLV. Real-time quantification of viral titers in single or mixed infections revealed that the titer of RBDV was enhanced ~400-fold when the virus was found in coinfections with RLMV. Interestingly, plants co-infected with these two viruses showed significant reduction in plant growth during the establishment and second year. Crumbly fruit was more severe in plants infected with the three viruses compared to the virus-free control. Taken together, this work presents valuable information about the interactions between three important raspberry viruses and their effect on plant growth and fruit crumbliness in 'Meeker', the most important red raspberry cultivar in the Pacific Northwest. / Graduation date: 2012