Evaluations of tactics for detection and management of raspberry crown borer, RCB, Pennisettia marginata (Harris) on blackberries were performed in Mississippi from January 2005 - July 2006. Randomized split plots with infested blackberries and certified nursery stock of two recommended cultivars, thorny ?Chickasaw? and thornless ?Apache? were planted. Pest management tactics targeting RCB included drenches: chemical insecticide bifenthrin, recently registered for RCB management; experimental pesticide E2Y45; and entomopathogenic nematodes Steinernema feltiae. Insect pheromones (E,Z)3-13-octadecadien-1-ol and (E,Z)3-13-octadecadien-1-yl-acetate were evaluated as RCB lures. Effects of fungicides captan, pyraclostrobin + boscalid, lime-sulfur and insecticide acetamiprid on viability and infectivity of entomopathogenic nematode species, S. feltiae and Heterorhabditis bacteriophora were evaluated in laboratory bioassays with host greater wax moth larvae. RCB larvae and soil pests on and around infested blackberry plants were observed. Bait traps with 5 mg of (E.Z)3-13-octadecadien-1-ol captured an adult RCB on October 19, 2005. Laboratory bioassays indicated that lime-sulfur and pyraclostrobin + boscalid decrease nematode movement and infectivity.

No description available.

Baseado na grande evolução dos dispositivos eletrônicos nos últimos 35 anos e dos novos hardwares de baixo custo e alto poder computacional, esta tese tem como objetivo testar a seguinte hipótese: É possível o controle e automação de um forno em escala piloto com informações de sensores e simulação em tempo real utilizando computação embarcada de baixo custo. Para isto, modelagem matemática e simulação do perfil de temperatura do forno e do alimento foram realizadas para que o sistema de controle possa ter informação da temperatura no alimento em tempo real, contando apenas com os sensores fixos no forno. A informação desta simulação alimenta o controle PID, garantindo que o perfil de temperatura desejado para o aquecimento/cozimento do alimento seja obedecido, melhorando a qualidade do produto final. O sistema de controle possui duas unidades, a escrava que é localizada na lateral do forno é composta de um Arduino mini, da instrumentação para o controle dos sensores e atuadores do forno e a unidade mestre, que utiliza um Raspberry pi onde o software de controle com interface gráfica realiza as simulações, o controle PID e a comunicação via bluetooth com a unidade escrava. Experimentos foram realizados para testar e validar a simulação do perfil térmico do forno, do alimento e o controlador PID. Concluiu-se que é possível um controle de um forno industrial em escala piloto com simulação em tempo real utilizando computação de baixo custo. / Based on the dramatic evolution of electronic devices in the last 35 years and the recent advent of low cost computational hardware, embedded sensors have become a cost-effective solution for real time machine monitoring and simulation. The objective of this thesis is to present both software and hardware intended for the real-time simulation and control of a conveyor belt tunnel oven using low cost embedded hardware, to ensure high quality food production. For this purpose, mathematical modelling and simulation of the temperature profile inside the oven was performed in order to supply the control system with the calculated temperature of the food in real time, using only the fixed sensors inside the oven. This simulation information is passed to the PID controller, ensuring that the desired temperature profile for heating the food is achieved, improving the quality of the final product. The system has two units, a slave that is located on the main body consisting of an Arduino mini and the instrumentation for controlling the sensors and actuators. The second unit is the master unit, which utilises a Raspberry pi to host the control software, the graphical user interface the PID controller and manages the Bluetooth connection with the slave unit. Experiments were performed in order to test and validate the thermal profile simulation of the oven and the food, as well as to test the PID controller. It was concluded that it is possible to control a prototype scale industrial oven using real time simulation with a low-cost computation unit.

Aus der Vision, Computertechnik für den schmalen Geldbeutel technisch interessierten Jugendlichen verfügbar zu machen entstand ein kreditkartengroßer Einplatinencomputer, der Raspberry Pi. Wir möchten den Raspi im Vortrag etwas näher vorstellen und in einer kleinen Demonstration Anregungen für eigene Projekte geben. Gespannt sind wir auch auf Projekte, welche die Zuhörer bereits mit dem Raspberry Pi umgesetzt haben.

Baseado na grande evolução dos dispositivos eletrônicos nos últimos 35 anos e dos novos hardwares de baixo custo e alto poder computacional, esta tese tem como objetivo testar a seguinte hipótese: É possível o controle e automação de um forno em escala piloto com informações de sensores e simulação em tempo real utilizando computação embarcada de baixo custo. Para isto, modelagem matemática e simulação do perfil de temperatura do forno e do alimento foram realizadas para que o sistema de controle possa ter informação da temperatura no alimento em tempo real, contando apenas com os sensores fixos no forno. A informação desta simulação alimenta o controle PID, garantindo que o perfil de temperatura desejado para o aquecimento/cozimento do alimento seja obedecido, melhorando a qualidade do produto final. O sistema de controle possui duas unidades, a escrava que é localizada na lateral do forno é composta de um Arduino mini, da instrumentação para o controle dos sensores e atuadores do forno e a unidade mestre, que utiliza um Raspberry pi onde o software de controle com interface gráfica realiza as simulações, o controle PID e a comunicação via bluetooth com a unidade escrava. Experimentos foram realizados para testar e validar a simulação do perfil térmico do forno, do alimento e o controlador PID. Concluiu-se que é possível um controle de um forno industrial em escala piloto com simulação em tempo real utilizando computação de baixo custo. / Based on the dramatic evolution of electronic devices in the last 35 years and the recent advent of low cost computational hardware, embedded sensors have become a cost-effective solution for real time machine monitoring and simulation. The objective of this thesis is to present both software and hardware intended for the real-time simulation and control of a conveyor belt tunnel oven using low cost embedded hardware, to ensure high quality food production. For this purpose, mathematical modelling and simulation of the temperature profile inside the oven was performed in order to supply the control system with the calculated temperature of the food in real time, using only the fixed sensors inside the oven. This simulation information is passed to the PID controller, ensuring that the desired temperature profile for heating the food is achieved, improving the quality of the final product. The system has two units, a slave that is located on the main body consisting of an Arduino mini and the instrumentation for controlling the sensors and actuators. The second unit is the master unit, which utilises a Raspberry pi to host the control software, the graphical user interface the PID controller and manages the Bluetooth connection with the slave unit. Experiments were performed in order to test and validate the thermal profile simulation of the oven and the food, as well as to test the PID controller. It was concluded that it is possible to control a prototype scale industrial oven using real time simulation with a low-cost computation unit.

This report deals with the possibilities of creating a system for a point-to-point audio- and video communication link, using cheap and simple hardware. The system will be using a local area network based on Ethernet and IP. This work was focused around the Raspberry Pi and its possibilities and limitations, regarding this type of application. The usage of a Raspberry Pi was also compared to using a conventional mini-PC for the same purpose. The overall goal was to achieve a system for point to point audio- and video communication of a very high quality, preferrably HD quality. The users of the system are supposed to get a feeling of live communication. To achieve this a very large monitor was used at each node. The monitor, microphone, camera and speaker are to be integrated into a frame that is hung on a wall in order to resemble a window. When you want to talk to somebody at the other node, you just walk up to this window and call upon the person you want to speak to, since the communications link is always active. This system could be used for distance meetings, distance lectures and in other similar situations. The results indicated that the Raspberry Pi was very capable of handling either transmission or reception of HD quality signals, but for full duplex communication a setup using two separate Raspberry Pis per node is recommended – one for transmission and one for reception. Another solution would be to choose a more powerful hardware platform,for instance a mini-PC, instead of the Raspberry Pi.

In order to handle the increasing costs of healthcare more of the care and monitoring will take place in the patient’s home. It is therefore desirable to develop smaller and portable systems that can record important biosignals such as the electrical activity of the heart in the form of an ECG. This project is a continuation on a previous project that developed a shield that can be connected to the GPIO pins of a Raspberry Pi, a credit-card sized computer. The shield contains an ADAS1000, a low power and compact device that can record the electrical activity of the heart along with respiration. The aim of this project was to develop an application that can run on the Raspberry Pi in order to display the captured data from the shield on a screen along with storing the data for further processing. The project was successful in the way that the requirements for the software have been fulfilled. / För att hantera den ökande kostnaden för hälso- och sjukvård kommer en större del av övervakning samt vård att ske i patientens hem. Det kommer därför att vara önskvärt att utveckla mindre system som är lättare att hantera än de större traditionella apparaterna för att samla in vanliga biosignaler som exempelvis ett EKG. Detta projekt är en fortsättning på ett tidigare projekt vars syfte var att framställa en ”sköld” som kan kopplas ihop med en Raspberry Pi via dess GPIO pinnar. Det föregående projektet var lyckat och en sköld innehållande en ADAS1000 som kan samla in bl.a. ett EKG samt andningen framställdes. Syftet med detta projekt var att utveckla en applikation som kan köras på en Raspberry Pi och på så sätt visa den data som samlas in från skölden på en skärm. Det skulle även vara möjligt att spara insamlad data för senare användning. Projektet resulterade i en applikation som uppfyllde dessa krav.

Many industries have been transformed to better perform in today’s digital age. In this project a solution for digitalizing printed sheet music as well as automating piano playing is researched, developed and built. The project was divided into three sub-systems, the first focusing on the digitalizing of sheet music, the second on identifying and classifying the notes and the third on playing the piano. These were later combined to form a demonstrator called Mozart2000, or M2k. The result was a robot which could determine the note pitch of an arbitrary note, or note combination, written in common music notation, and furthermore play these on the piano. The algorithm is based of off finding coordinates for stafflines and notes using image processing. Programming was done in Python with some functions extracted from the library OpenCV (Open Source Computer Vision). The piano playing mechanism uses solenoids and lever arms, controlled by electrical signals from a Raspberry Pi. Due to scope in budget and time some restrictions were made. The note range for the robot was limited to one octave, meaning 8 piano keys. Moreover, other musical information such as rhythmical and coloring were overlooked and set to a predetermined value. For the digitalizing part, a camera was used, taking a snapshot of one musical bar. The final solution however can be expanded to include additional keys and music segments by replicating the existing mechanism. / I detta projekt söks en lösning för digitalisering av tryckt notskrift, mot bakgrund av en ökande efterfrågan på digitala lösningar. Parallellt undersöks möjligheterna till att automatisera pianospel. För att underlätta arbetet delades projektet in i tre delsystem; det första fokuserade på digitalisering av notpapper, det andra på att hitta och identifiera noter, och det tredje på pianospelet. Delsystemen kunde därefter integreras och resulterade då i Mozart2000, M2k. Den slutgiltiga lösningen är en robot som kan bestämma tonhöjden från ett notpapper och spela dessa på ett piano. Den framtagna algoritmen bygger på att hitta koordinater för notlinjer och noter, jämföra dessa sinsemellan och tilldela dessa utgångar på en Raspberry Pi. Från dessa skickas elektriska signaler till en krets bestående av bland annat transistorer och frihjulsdioder, som i sin tur är kopplade till solenoider. Dessa solenoider kopplade till egentillverkade fingrar kommer sedan att slå an tangenterna på pianot. Eftersom projektet var begränsat i tid och budget gjordes ett antal förenklingar. Till exempel skulle Mozart2000 hålla sig till en oktav, det vill säga åtta toner. Vidare skulle rytmen vara en konstant och endast en takt skulle analyseras och spelas åt gången. Det bedöms dock möjligt att duplicera systemet för att täcka ett större notomfång och/eller fler takter.

Today orienteering competitions use digital sensors to collect the punches from each runner. This is done by a chip that the runner carries and punches at each control where a sensor is placed. This data is then collected and processed by a computer program to calculate the results. Since the orienteering competitions often occur in areas without common infrastructures, it requires the organisers to build their own for power and network. This thesis set out to investigate if it is possible to build a system where the data could be read, processed and presented without these locally built infrastructures. Furthermore, it investigates how much power the system would require. To test this a Raspberry Pi computer is used, where an orienteering sensor alongside a 4G modem is connected. On the Raspberry Pi a program is built for reading the data via an API communicating with the sensor. Then through mobile network the reserved data is sent to a result calculation server. These results are then presented on a website in order of best time. The energy consumption is measured through the amount of current the device uses. It was discovered that the device’s peak current was 798 mA which leads to that for a standard competition time of 8 hours a battery with the capacity of 6384 mA·h would be required. / Idag använder orienteringstävlingar digitala sensorer för att registrera stämplingar för de tävlande. Det görs med ett chip som löparen har med sig och stämplar i sensorer vid varje kontroll. Detta data läses sedan av och processas av ett datorprogram för att kalkylera ett resultat. Eftersom orienteringstävlingar ofta sker i områden utan allmän infrastruktur, krävs det att arrangören bygger upp egen infrastruktur för elektricitet och nätverk. Den här avhandlingen avser att undersöka om det är möjligt att bygga ett system där datat inhämtas, processas och presenteras utan att behöva bygga upp denna lokala infrastruktur. Vidare är syftet att undersöka hur mycket energi ett sådant system kräver. För att göra detta används en Raspberry Pi dator med en orienteringssensor och ett 4G modem. På Raspberry Pi:en skapas ett program vilket läser ut orienteringschipets data via ett API som kommunicerar med sensorn, och skickar via mobilt nätverk datat till en resultatberäkningsserver. Dessa resultat presenteras sedan på en webbsida. Den krävda batterikapaciteten beräknas utifrån hur mycket ström Raspberry Pi:en använder. Undersökningen visade att datorns maximala strömförbrukning var 798 mA vilket leder till att den krävda batterikapaciteten för att klara en tävlingsdag på 8 timmar är 6384 mA·h.

During the last couple of years there has been a shift in technology within the Swedish elderly care where the analog personal security alarm is being replaced with personal security alarm that uses internet to communicate. This transition happens due to the ever increasing access to the internet among the elderly and the decreasing availability of analog personal security alarms. This paper describes the work whose purpose is to develop a system that will act as a prototype of a personal security alarm that uses Voice Over IP and the protocol Session Initiation Protocol. The final system is to be comprised by a Raspberry Pi that uses the SIP protocol, a keypad and a soundcard that is built around PCM3060 chip. / De senaste åren pågår det ett teknikskifte inom den svenska äldreomsorgen där de analoga trygghetslarmen ersätts av larm som använder internet för att kommunicera. Denna övergång sker på grund av att tillgång till internet ökar hos äldre personer samt att hushåll med analoga anslutningarna blir allt färre. Denna rapport beskriver arbetet med att ta fram ett system som ska fungera som en prototyp för ett trygghetslarm. Detta system använder sig av Voice Over IP och protokollet Session Initiation Protocol. Det slutliga systemet består av en Raspberry Pi som använder sig av SIP protokollet, en knappsats samt ett ljudkort som är byggt runt ett PCM3060 chip.