The curriculum for ICT in UK schools was discontinued in September 2012 and replaced by a 'rebranded' subject of Computing, divided into three sub domains: Computer Science; Information Technology; and digital literacy. The latter was positioned as basic technical skills. There were concerns in the education community that the new curriculum promoted programming and computer science topics to the detriment of digital literacy and applied uses of technology. Much of the Computing education literature perpetuates the hegemony of the logical and abstract, and implies computational thinking and rationality are synonymous with criticality. During the same period, a maker culture was growing rapidly in the UK, and discourses around these activities promoted an entirely different notion of digital literacy, aligned with the wide body of literacy literature that focuses on notions of empowerment and criticality rather than basic functional skills. A digital maker tool called the Raspberry Pi was released with the intention of supporting the development of computer science and digital making competence, and thus sat at the boundary of the academic and maker communities. This thesis argues that developing 'criticality' is a vital component of Computing education and explores how learning activities with the Raspberry Pi might support development of 'criticality'. In setting the scene for the investigation, I will first explore the notions underpinning discourse around both computational and critical thinking and digital literacy, suggesting that the frictions would be best overcome by abandoning abstract constructs of knowledge and assumptions that it is possible to separate theory and practice. I show how the term 'critical' is itself problematic in the literature and I look to Wenger's social theory of learning to avoid the individualistic limits of Papert's constructionism, a popular learning theory in Computing education. Wenger's constructs of knowledgeability and competence help tell a different story of what it means to be a learner of the practice of Computing, both in learning for academic purposes and with intentions towards becoming a practitioner. In concert with learning citizenship, these constructs offer a more ethical framing of 'criticality'. Informed by this theoretical position, I suggest an original, exploratory implementation of Q methodology to explore learning with technology in school settings. I qualitatively compare 'before' and 'after' Q studies that represent perspectives at the individual and collective level, with reference to observations of classroom learning. The methodology facilitates a nuanced and complex investigation and the findings of the project suggest that where pupils are already predisposed to the subject, working with the Raspberry Pi develops a broader knowledgeability, but where there is no such predisposition, a pedagogy of expressibility influences how participation in Raspberry Pi learning activities may impact knowledgeability.

In this project a Raspberry Pi 3 B+ has been constructed to log a number of envi-ronmental data from connected sensors. The connectable sensors include: Rain sensor Temperature sensor Gas sensor Anemometer Sound sensor Camera These sensors availability are sensed at device start and the present ones arelogged in settable intervals, then saved locally in a .csv-file and for the cameraa .jpg-file. All log data is backed up periodically to a connected USB Flash drive.The log data is also available for transfer through Bluetooth and Wifi. A numberof energy saving procedures have also been implemented in the form of poweringoffand on a couple of hardware components. The system is created with energy consumption in mind as it will be mergedwith another system which has the goal of supporting this system with a batteryand solar panels whose energy flows an Arduino Uno is controlling. This does aconnection to the Arduino possible for transfer of information regarding total sunhours, battery charge and power consumption for extended logging. / I detta projekt har en Raspberry pi 3 B+ konstruerats till att logga ett antal miljödata från anslutna sensorer. De sensorer som kan anslutas innefattar: Regnsensor Temperatursensor Gassensor Vindsensor Ljudsensor Kamera Samtliga sensorer känner enheten av vid start om de är närvarande och om så kan mätdatan loggas i valfria intervall och sparas lokalt i ett .csv-kalkylark och för kameran en .jpg-fil. All loggdata säkerhetskopieras intervallsvis till ett anslutet USB-minne. Loggdatan är även tillgänglig för överföring via Bluetooth och Wifi. Diverse energibesparande metoder har även implementerats i form av på och avstängning för vissa hårdvarukomponenter. Systemet är utvecklat med energikonsumption i tanken då det kommer att slås samman med ett annat projekt vars mål är att driva detta system med ett batteri och solceller vars energiflöden en Arduino Uno kontrollerar. Detta gör även en anslutning till Arduinon möjlig där information om soltimmar, batteriladdning och effektförbrukning kan överföras för utökad loggning.

This thesis explores a method on how communication with a backplane through SGMII via a Raspberry Pi Compute Module 3 is achieved. The thesis focuses on the steps required to design a carrier board that can mount the module and incorporate a bridge between SGMII and USB. The different steps required to achieve this were to find the components, design a power solution, draw the schematics and eventually designing the PCB.

This diploma thesis deals with the use of robotic kits in teaching technical subject at high schools in the Czech Republic. The theoretical part describes the concepts of robotics and pedagogy. It deals with the history, types of robots, describes its components and provides an overview of the available robotic kits. It also examines the concepts and approaches in teaching, goals and activation methods. The results of research among students, alumni and teachers of high schools are summarized in the practical part. The outcome of this thesis is methodical instructions for teaching technical subjects, such as microprocessor technology and control systems, etc. using a robotic kit based on the Raspberry Pi. Elaborated tasks are: Hardware Hello World! LED, buzzer, switcher with LED, interrupt, motion detection, tracking a black line, keypad 4×4, fan speed control, steering the direction of rotation of DC motors, servo motor control, distance measurement, temperature measurement, display messages on the LCD screen, building a robotic rover and image acquisition from a webcam.

Arbetet är baserat på utveckling av mätinstrumentet Algometer som används för att mäta smärttrösklar hos individer. Mätinstrumentet är baserat på enkortsdatorn Raspberry Pi och en kraftgivare som mäter tillämpad tryck. Raspberry Pi hanterar algoritmer för återkoppling, mätresultatdokumentation samt användargränssnitt. Kraftgivarens konstruktion består av trådtöjningsgivare som är proportionell till den applicerade trycket. Arbetet framlägger konstruktion, rekommenderade kopplingar för att mäta storheter, samt en del av programmeringskoden för mätinstrument och användargränssnitt.

Submitted by JORGE ESTEBAN BLANCO RODRIGUEZ null (lobogris87@msn.com) on 2016-06-01T14:53:04Z No. of bitstreams: 1 Jorge Esteban Blanco Rodriguez.pdf: 3365866 bytes, checksum: edf247c26e3f44cc20ef44607e947f0e (MD5) / Rejected by Ana Paula Grisoto (grisotoana@reitoria.unesp.br), reason: Solicitamos que realize uma nova submissão seguindo as orientações abaixo: O mês informado na capa do documento está diferente da data de defesa que consta na folha de aprovação. Corrija esta informação no arquivo PDF e realize uma nova submissão contendo o arquivo correto. Agradecemos a compreensão. on 2016-06-02T13:45:11Z (GMT) / Submitted by JORGE ESTEBAN BLANCO RODRIGUEZ null (lobogris87@msn.com) on 2016-06-02T14:37:35Z No. of bitstreams: 1 Jorge Esteban Blanco Rodriguez 30-03-2016.pdf: 2668564 bytes, checksum: 75234917c13bea3285297fb6aeb7f0ec (MD5) / Approved for entry into archive by Ana Paula Grisoto (grisotoana@reitoria.unesp.br) on 2016-06-02T16:43:57Z (GMT) No. of bitstreams: 1 blancorodriguez_je_me_ilha.pdf: 2668564 bytes, checksum: 75234917c13bea3285297fb6aeb7f0ec (MD5) / Made available in DSpace on 2016-06-02T16:43:57Z (GMT). No. of bitstreams: 1 blancorodriguez_je_me_ilha.pdf: 2668564 bytes, checksum: 75234917c13bea3285297fb6aeb7f0ec (MD5) Previous issue date: 2016-03-30 / Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) / Implementou-se um estimulador elétrico funcional para uso na reabilitação de pacientes hígidos e paraplégicos e que não necessita de alimentação simétrica. O equipamento é constituído por dois estágios, o formador de onda, no qual se define os parâmetros do sinal de estimulação, e o de potência. No formador de onda foi utilizado uma placa Raspberry pi e uma interface de usuário, desenvolvida em Python. O estágio de potência é composto por um espelho de corrente que possibilita a utilização de transistores não casados, e uma estrutura em ponte H, para formar o sinal de eletroestimulação bifásico, sem a necessidade de fonte simétrica, diminuindo assim pela metade a diferença de potencial aplicada na alimentação do circuito. Com o estimulador implementado gerou-se correntes com forma de onda retangular, amplitude de até 120 mA e características adequadas para utilização na reabilitação dos membros inferiores e superiores de pacientes. / A functional electrical stimulator for use in the rehabilitation of paraplegic and healthy patients was implemented. It does not need symmetrical power supply. The equipment consists of two stages, the wave generator, which defines the stimulation signal parameters, and the power stage. In the wave generator we have used a Raspberry Pi board and a user interface, developed in Python. In the power stage we have used a current mirror which enables the use of unmarried transistors and a H-bridge circuit to generate a biphasic signal. With the implemented stimulator, currents with rectangular waveform, range of up to 120 mA, and suitable characteristics for using in rehabilitation of the lower and upper limbs of patients were generated.

Orientador: Aparecido Augusto de Carvalho / Resumo: Implementou-se um estimulador elétrico funcional para uso na reabilitação de pacientes hígidos e paraplégicos e que não necessita de alimentação simétrica. O equipamento é constituído por dois estágios, o formador de onda, no qual se define os parâmetros do sinal de estimulação, e o de potência. No formador de onda foi utilizado uma placa Raspberry pi e uma interface de usuário, desenvolvida em Python. O estágio de potência é composto por um espelho de corrente que possibilita a utilização de transistores não casados, e uma estrutura em ponte H, para formar o sinal de eletroestimulação bifásico, sem a necessidade de fonte simétrica, diminuindo assim pela metade a diferença de potencial aplicada na alimentação do circuito. Com o estimulador implementado gerou-se correntes com forma de onda retangular, amplitude de até 120 mA e características adequadas para utilização na reabilitação dos membros inferiores e superiores de pacientes. / Abstract: A functional electrical stimulator for use in the rehabilitation of paraplegic and healthy patients was implemented. It does not need symmetrical power supply. The equipment consists of two stages, the wave generator, which defines the stimulation signal parameters, and the power stage. In the wave generator we have used a Raspberry Pi board and a user interface, developed in Python. In the power stage we have used a current mirror which enables the use of unmarried transistors and a H-bridge circuit to generate a biphasic signal. With the implemented stimulator, currents with rectangular waveform, range of up to 120 mA, and suitable characteristics for using in rehabilitation of the lower and upper limbs of patients were generated. / Mestre

With the recent advancements in High Performance Computing (HPC), it is possible to rapidly process high volumes of data, allowing accomplishments in several areas of knowledge. Although the HPC area has been observed as an area of complex infrastructure, in the last years, its been observed that the processing power of processors used in embedded systems, using the ARM architecture, has been increasing significantly. Furthermore, the acquisition costs and energy consumption are lower, when compared to processors of other platforms, thus allowing for the possibility of having HPC with smaller and more economical platforms, with lower maintenance cost and more accessible. In this merit, this masters thesis proposes the performance analysis of a low cost embedded cluster composed of processors using ARM architecture and the Raspberry Pi platform. This work analysis the impact of using MPICH-2 and OpenMPI libraries, running benchmark programs HPCC and HPL. The present work show results of performance and energy consumption of this cluster with these programs, proving that it is possible to use clusters of low cost embedded platforms with satisfactory speedups and energy consumption. / Com o desenvolvimento da computação de alto desempenho (HPC), grandes volumes de dados passaram a ser processados de forma rápida, permitindo assim, que avanços significativos fossem alcançados em varias áreas do conhecimento. Para isso, sempre se observou a área de HPC tendo uma infraestrutura complexa. Por outro lado, nos últimos anos, se observa que a capacidade de processamento dos processadores usados em sistemas embarcados, seguindo arquitetura ARM, vem aumentando de forma significativa. Além disso, os custos de aquisição e o consumo de energia dos processadores ARM são menores, quando comparados a processadores de outras plataformas. Neste âmbito, cria-se a possibilidade de ter HPC usando plataformas menores e mais econômicas e com um custo de manutenção mais acessível. Nesse intuito, esta dissertação de mestrado, propõe a análise de desempenho de um cluster embarcado de baixo custo composto por processadores da arquitetura ARM e plataforma Raspberry Pi. O trabalho analisa o impacto de usar as bibliotecas MPICH-2 e OpenMPI, executando os programas dos benchmarks HPCC e HPL. O trabalho apresenta resultados de desempenho e consumo de energia do cluster com esses programas, mostrando que é possível usar clusters de plataformas embarcadas de baixo custo e tendo speedups e consumo de energia satisfatórios.

The use of Intrusion Detection Systems is a normal thing today in bigger companies, butthe solutions that are to be found in market is often too expensive for the smallercompany. Therefore, we saw the need in investigating if there is a more affordablesolution. In this report, we will show that it is possible to use low cost single boardcomputers as part of a bigger centralized Intrusion Detection System. To investigate this,we set up a test system including 2 Raspberry Pi 3 Model B, a cloud server and the use oftwo home networks, one with port mirroring implemented in firmware and the other withdedicated span port. The report will show how we set up the environment and the testingwe have done to prove that this is a working solution.

Bosch Rexroth in Mellansel is manufacturing hydraulic motors and constantly trying to improve their products to reduce downtime for their customers. An important thing to get a reliable system is to know the condition. In a hydraulic motor, it is crucial to determine the particle contamination of the oil to determine the condition. To do so many particle sensors have been tested by Bosch Rexroth but also other related companies during the past years. To this point, no sensor has been performing good enough to replace the ordinary magnetic plug for the laboratory tests at Bosch Rexroth.  The ordinary magnetic plug is based on an openable lid that has a magnet attached to it. The lid is opened to review the particle contamination of the system. To open the lid the motor has to be stopped and a competent person needs to be present to review the particles.To ease the work for the laboratory personal and also getting one step closer to a reliable condition monitoring solution a new idea was coined by employees at Bosch Rexroth. The idea was to use a magnet outside a glass disc and by that be able to detect the particles from outside the motor. Initial testing of the idea had been performed with promising results but more development was needed. The idea has therefore been investigated and developed further in this project. This has been done in parallel with an investigation of state-of-the-art techniques available on the market. The testing showed that the new type of magnet/glass solution was performing well and was able to detect particles of different sizes. Some other interesting options were also found during the investigation of other techniques but the new magnet/glass idea was the most prominent.