Localization and Tracking in Energy-Constrained Networks with Dynamic Connectivity

Systems used for target localization, such as goods, individuals, or animals, commonly rely on operational means to meet the final application demands. However, what would happen if some means were powered up randomly by harvesting systems? And what if those devices not randomly powered had their duty cycles restricted? Under what conditions would such an operation be tolerable in localization services? What if the references provided by nodes in a tracking problem were distorted? Moreover, there is an underlying topic common to the previous questions regarding the transfer of conceptual models to reality in field tests: what challenges are faced upon deploying a localization network that integrates energy harvesting modules? The application scenario of the system studied is a traditional herding environment of semi domesticated reindeer (Rangifer tarandus tarandus) in northern Scandinavia. In these conditions, information on approximate locations of reindeer is as important as environmental preservation. Herders also need cost-effective devices capable of operating unattended in, sometimes, extreme weather conditions. The analyses developed are worthy not only for the specific application environment presented, but also because they may serve as an approach to performance of navigation systems in absence of reasonably accurate references like the ones of the Global Positioning System (GPS). A number of energy-harvesting solutions, like thermal and radio-frequency harvesting, do not commonly provide power beyond one milliwatt. When they do, battery buffers may be needed (as it happens with solar energy) which may raise costs and make systems more dependent on environmental temperatures. In general, given our problem, a harvesting system is needed that be capable of providing energy bursts of, at least, some milliwatts. Many works on localization problems assume that devices have certain capabilities to determine unknown locations based on range-based techniques or fingerprinting which cannot be assumed in the approach considered herein. The system presented is akin to range-free techniques, but goes to the extent of considering very low node densities: most range-free techniques are, therefore, not applicable. Animal localization, in particular, uses to be supported by accurate devices such as GPS collars which deplete batteries in, maximum, a few days. Such short-life solutions are not particularly desirable in the framework considered. In tracking, the challenge may times addressed aims at attaining high precision levels from complex reliable hardware and thorough processing techniques. One of the challenges in this Thesis is the use of equipment with just part of its facilities in permanent operation, which may yield high input noise levels in the form of distorted reference points. The solution presented integrates a kinetic harvesting module in some nodes which are expected to be a majority in the network. These modules are capable of providing power bursts of some milliwatts which suffice to meet node energy demands. The usage of harvesting modules in the aforementioned conditions makes the system less dependent on environmental temperatures as no batteries are used in nodes with harvesters--it may be also an advantage in economic terms. There is a second kind of nodes. They are battery powered (without kinetic energy harvesters), and are, therefore, dependent on temperature and battery replacements. In addition, their operation is constrained by duty cycles in order to extend node lifetime and, consequently, their autonomy. There is, in turn, a third type of nodes (hotspots) which can be static or mobile. They are also battery-powered, and are used to retrieve information from the network so that it is presented to users. The system operational chain starts at the kinetic-powered nodes broadcasting their own identifier. If an identifier is received at a battery-powered node, the latter stores it for its records. Later, as the recording node meets a hotspot, its full record of detections is transferred to the hotspot. Every detection registry comprises, at least, a node identifier and the position read from its GPS module by the battery-operated node previously to detection. The characteristics of the system presented make the aforementioned operation own certain particularities which are also studied. First, identifier transmissions are random as they depend on movements at kinetic modules--reindeer movements in our application. Not every movement suffices since it must overcome a certain energy threshold. Second, identifier transmissions may not be heard unless there is a battery-powered node in the surroundings. Third, battery-powered nodes do not poll continuously their GPS module, hence localization errors rise even more. Let's recall at this point that such behavior is tight to the aforementioned power saving policies to extend node lifetime. Last, some time is elapsed between the instant an identifier random transmission is detected and the moment the user is aware of such a detection: it takes some time to find a hotspot. Tracking is posed as a problem of a single kinetically-powered target and a population of battery-operated nodes with higher densities than before in localization. Since the latter provide their approximate positions as reference locations, the study is again focused on assessing the impact of such distorted references on performance. Unlike in localization, distance-estimation capabilities based on signal parameters are assumed in this problem. Three variants of the Kalman filter family are applied in this context: the regular Kalman filter, the alpha-beta filter, and the unscented Kalman filter. The study enclosed hereafter comprises both field tests and simulations. Field tests were used mainly to assess the challenges related to power supply and operation in extreme conditions as well as to model nodes and some aspects of their operation in the application scenario. These models are the basics of the simulations developed later. The overall system performance is analyzed according to three metrics: number of detections per kinetic node, accuracy, and latency. The links between these metrics and the operational conditions are also discussed and characterized statistically. Subsequently, such statistical characterization is used to forecast performance figures given specific operational parameters. In tracking, also studied via simulations, nonlinear relationships are found between accuracy and duty cycles and cluster sizes of battery-operated nodes. The solution presented may be more complex in terms of network structure than existing solutions based on GPS collars. However, its main gain lies on taking advantage of users' error tolerance to reduce costs and become more environmentally friendly by diminishing the potential amount of batteries that can be lost. Whether it is applicable or not depends ultimately on the conditions and requirements imposed by users' needs and operational environments, which is, as it has been explained, one of the topics of this Thesis.

A new PET prototype for proton therapy: comparison of data and Monte Carlo simulations

Ion beam therapy is a valuable method for the treatment of deep-seated and radio-resistant tumors thanks to the favorable depth-dose distribution characterized by the Bragg peak. Hadrontherapy facilities take advantage of the specific ion range, resulting in a highly conformal dose in the target volume, while the dose in critical organs is reduced as compared to photon therapy. The necessity to monitor the delivery precision, i.e. the ion range, is unquestionable, thus different approaches have been investigated, such as the detection of prompt photons or annihilation photons of positron emitter nuclei created during the therapeutic treatment. Based on the measurement of the induced β+ activity, our group has developed various in-beam PET prototypes: the one under test is composed by two planar detector heads, each one consisting of four modules with a total active area of 10 × 10 cm2. A single detector module is made of a LYSO crystal matrix coupled to a position sensitive photomultiplier and is read-out by dedicated frontend electronics. A preliminary data taking was performed at the Italian National Centre for Oncological Hadron Therapy (CNAO, Pavia), using proton beams in the energy range of 93–112 MeV impinging on a plastic phantom. The measured activity profiles are presented and compared with the simulated ones based on the Monte Carlo FLUKA package.

Positional Accuracy in Smart-Phones and Its Effect on LBS Applications.

Location-based services (LBS) highly rely on the location of the mobile user in order to provide the service tailored to that location. This location is calculated differently depending on the technology available in the used mobile device. No matter which technology is used, the location will never be calculated 100% correctly; instead there will always be a margin of error generated during the calculation, which is referred to as positional accuracy. This research has reviewed the eight most common positioning technologies available in the major current smart-phones and assessed their positional accuracy with respect to its usage by LBS applications. Given the vast majority of these applications, this research classified them into thirteen categories, and these categories were also classified depending on their level criticality as low, medium, or high critical, and whether they function indoor or outdoor. The accuracies of different positioning technologies are compared to these two criteria. Low critical outdoor and high critical indoor applications were found technologically covered; high and medium critical outdoor ones weren?t fully resolved. Finally three potential solutions are suggested to be implemented in future smartphones to resolve this technological gap: Real-Time Kinematics Global Positioning System (RTK GPS), terrestrial transmitters, and combination of Wireless Sensors Network and Radio Frequency Identification (WSN-RFID).

Validation of the burn-up code EVOLCODE 2.0 with PWR experimental data and with a Sensitivity/Uncertainty analysis

A validation of the burn-up simulation system EVOLCODE 2.0 is presented here, involving the experimental measurement of U and Pu isotopes and some fission fragments production ratios after a burn-up of around 30 GWd/tU in a Pressurized Light Water Reactor (PWR). This work provides an in-depth analysis of the validation results, including the possible sources of the uncertainties. An uncertainty analysis based on the sensitivity methodology has been also performed, providing the uncertainties in the isotopic content propagated from the cross sections uncertainties. An improvement of the classical Sensitivity/ Uncertainty (S/U) model has been developed to take into account the implicit dependence of the neutron flux normalization, that is, the effect of the constant power of the reactor. The improved S/U methodology, neglected in this kind of studies, has proven to be an important contribution to the explanation of some simulation-experiment discrepancies for which, in general, the cross section uncertainties are, for the most relevant actinides, an important contributor to the simulation uncertainties, of the same order of magnitude and sometimes even larger than the experimental uncertainties and the experiment- simulation differences. Additionally, some hints for the improvement of the JEFF3.1.1 fission yield library and for the correction of some errata in the experimental data are presented.

Telemetría de vehículos FSAE con microcontrolador PIC32 y transceptor de radio CC1101

Quizás el campo de las telecomunicaciones sea uno de los campos en el que más se ha progresado en este último siglo y medio, con la ayuda de otros campos de la ciencia y la técnica tales como la computación, la física electrónica, y un gran número de disciplinas, que se han utilizado estos últimos 150 años en conjunción para mejorarse unas con la ayuda de otras. Por ejemplo, la química ayuda a comprender y mejorar campos como la medicina, que también a su vez se ve mejorada por los progresos en la electrónica creados por los físicos y químicos, que poseen herramientas más potentes para calcular y simular debido a los progresos computacionales. Otro de los campos que ha sufrido un gran avance en este último siglo es el de la automoción, aunque estancados en el motor de combustión, los vehículos han sufrido enormes cambios debido a la irrupción de los avances en la electrónica del automóvil con multitud de sistemas ya ampliamente integrados en los vehículos actuales. La Formula SAE® o Formula Student es una competición de diseño, organizada por la SAE International (Society of Automotive Engineers) para estudiantes de universidades de todo el mundo que promueve la ingeniería a través de una competición donde los miembros del equipo diseñan, construyen, desarrollan y compiten en un pequeño y potente monoplaza. En el ámbito educativo, evitando el sistema tradicional de clases magistrales, se introducen cambios en las metodologías de enseñanza y surge el proyecto de la Fórmula Student para lograr una mejora en las acciones formativas, que permitan ir incorporando nuevos objetivos y diseñar nuevas situaciones de aprendizaje que supongan una oportunidad para el desarrollo de competencias de los alumnos, mejorar su formación como ingenieros y contrastar sus progresos compitiendo con las mejores universidades del mundo. En este proyecto se pretende dotar a los alumnos de las escuelas de ingeniería de la UPM que desarrollan el vehículo de FSAE de una herramienta de telemetría con la que evaluar y probar comportamiento del vehículo de FSAE junto con sus subsistemas que ellos mismos diseñan, con el objetivo de evaluar el comportamiento, introducir mejoras, analizar resultados de una manera más rápida y cómoda, con el objetivo de poder progresar más rápidamente en su desarrollo, recibiendo y almacenando una realimentación directa e instantánea del funcionamiento mediante la lectura de los datos que circulan por el bus CAN del vehículo. También ofrece la posibilidad de inyectar datos a los sistemas conectados al bus CAN de manera remota. Se engloba en el conjunto de proyectos de la FSAE, más concretamente en los basados en la plataforma PIC32 y propone una solución conjunta con otros proyectos o también por sí sola. Para la ejecución del proyecto se fabricó una placa compuesta de dos placas de circuito impreso, la de la estación base que envía comandos, instrucciones y datos para inyectar en el bus CAN del vehículo mediante radiofrecuencia y la placa que incorpora el vehículo que envía las tramas que circulan por el bus CAN del vehículo con los identificadores deseados, ejecuta los comandos recibidos por radiofrecuencia y salva las tramas CAN en una memoria USB o SD Card. Las dos PCBs constituyen el hardware del proyecto. El software se compone de dos programas. Un programa para la PCB del vehículo que emite los datos a la estación base, codificado en lenguaje C con ayuda del entorno de desarrollo MPLAB de Microchip. El otro programa hecho con LabView para la PCB de la estación base que recibe los datos provenientes del vehículo y los interpreta. Se propone un hardware y una capa o funciones de software para los microcontroladores PIC32 (similar al de otros proyectos del FSAE) para la transmisión de las tramas del bus CAN del vehículo de manera inalámbrica a una estación base, capaz de insertar tramas en el bus CAN del vehículo enviadas desde la estación base. También almacena estas tramas CAN en un dispositivo USB o SD Card situado en el vehículo. Para la transmisión de los datos se hizo un estudio de las frecuencias de transmisión, la legislación aplicable y los tipos de transceptores. Se optó por utilizar la banda de radiofrecuencia de uso común ISM de 433MHz mediante el transceptor integrado CC110L de Texas Instruments altamente configurable y con interfaz SPI. Se adquirieron dos parejas de módulos compatibles, con amplificador de potencia o sin él. LabView controla la estación que recoge las tramas CAN vía RF y está dotada del mismo transceptor de radio junto con un puente de comunicaciones SPI-USB, al que se puede acceder de dos diferentes maneras, mediante librerías dll, o mediante NI-VISA con transferencias RAW-USB. La aplicación desarrollada posee una interfaz configurable por el usuario para la muestra de los futuros sensores o actuadores que se incorporen en el vehículo y es capaz de interpretar las tramas CAN, mostrarlas, gráfica, numéricamente y almacenar esta información, como si fuera el cuadro de instrumentos del vehículo. Existe una limitación de la velocidad global del sistema en forma de cuello de botella que se crea debido a las limitaciones del transceptor CC110L por lo que si no se desea filtrar los datos que se crean necesarios, sería necesario aumentar el número de canales de radio para altas ocupaciones del bus CAN. Debido a la pérdida de relaciones con el INSIA, no se pudo probar de manera real en el propio vehículo, pero se hicieron pruebas satisfactorias (hasta 1,6 km) con una configuración de tramas CAN estándar a una velocidad de transmisión de 1 Mbit/s y un tiempo de bit de 1 microsegundo. El periférico CAN del PIC32 se programará para cumplir con estas especificaciones de la ECU del vehículo, que se presupone que es la MS3 Sport de Bosch, de la que LabView interpretará las tramas CAN recibidas de manera inalámbrica. Para poder probar el sistema, ha sido necesario reutilizar el hardware y adaptar el software del primer prototipo creado, que emite tramas CAN preprogramadas con una latencia también programable y que simulará al bus CAN proporcionando los datos a transmitir por el sistema que incorpora el vehículo. Durante el desarrollo de este proyecto, en las etapas finales, el fabricante del puente de comunicaciones SPI-USB MCP2210 liberó una librería (dll) compatible y sin errores, por lo que se nos ofrecía una oportunidad interesante para la comparación de las velocidades de acceso al transceptor de radio, que se presuponía y se comprobó más eficiente que la solución ya hecha mediante NI-VISA. ABSTRACT. The Formula SAE competition is an international university applied to technological innovation in vehicles racing type formula, in which each team, made up of students, should design, construct and test a prototype each year within certain rules. The challenge of FSAE is that it is an educational project farther away than a master class. The goal of the present project is to make a tool for other students to use it in his projects related to FSAE to test and improve the vehicle, and, the improvements that can be provided by the electronics could be materialized in a victory and win the competition with this competitive advantage. A telemetry system was developed. It sends the data provided by the car’s CAN bus through a radio frequency transceiver and receive commands to execute on the system, it provides by a base station on the ground. Moreover, constant verification in real time of the status of the car or data parameters like the revolutions per minute, pressure from collectors, water temperature, and so on, can be accessed from the base station on the ground, so that, it could be possible to study the behaviour of the vehicle in early phases of the car development. A printed circuit board, composed of two boards, and two software programs in two different languages, have been developed, and built for the project implementation. The software utilized to design the PCB is Orcad10.5/Layout. The base station PCB on a PC receives data from the PCB connected to the vehicle’s CAN bus and sends commands like set CAN filters or masks, activate data logger or inject CAN frames. This PCB is connected to a PC via USB and contains a bridge USB-SPI to communicate with a similar transceiver on the vehicle PCB. LabView controls this part of the system. A special virtual Instrument (VI) had been created in order to add future new elements to the vehicle, is a dashboard, which reads the data passed from the main VI and represents them graphically to studying the behaviour of the car on track. In this special VI other alums can make modifications to accommodate the data provided from the vehicle CAN’s bus to new elements on the vehicle, show or save the CAN frames in the form or format they want. Two methods to access to SPI bus of CC110l RF transceiver over LabView have been developed with minimum changes between them. Access through NI-VISA (Virtual Instrument Software Architecture) which is a standard for configuring, programming, USB interfaces or other devices in National Instruments LabView. And access through DLL (dynamic link library) supplied by the manufacturer of the bridge USB-SPI, Microchip. Then the work is done in two forms, but the dll solution developed shows better behaviour, and increase the speed of the system because has less overload of the USB bus due to a better efficiency of the dll solution versus VISA solution. The PCB connected to the vehicle’s CAN bus receives commands from the base station PCB on a PC, and, acts in function of the command or execute actions like to inject packets into CAN bus or activate data logger. Also sends over RF the CAN frames present on the bus, which can be filtered, to avoid unnecessary radio emissions or overflowing the RF transceiver. This PCB consists of two basic pieces: A microcontroller with 32 bit architecture PIC32MX795F512L from Microchip and the radio transceiver integrated circuit CC110l from Texas Instruments. The PIC32MX795F512L has an integrated CAN and several peripherals like SPI controllers that are utilized to communicate with RF transceiver and SD Card. The USB controller on the PIC32 is utilized to store CAN data on a USB memory, and change notification peripheral is utilized like an external interrupt. Hardware for other peripherals is accessible. The software part of this PCB is coded in C with MPLAB from Microchip, and programming over PICkit 3 Programmer, also from Microchip. Some of his libraries have been modified to work properly with this project and other was created specifically for this project. In the phase for RF selection and design is made a study to clarify the general aspects of regulations for the this project in order to understand it and select the proper band, frequency, and radio transceiver for the activities developed in the project. From the different options available it selects a common use band ICM, with less regulation and free to emit with restrictions and disadvantages like high occupation. The transceiver utilized to transmit and receive the data CC110l is an integrated circuit which needs fewer components from Texas Instruments and it can be accessed through SPI bus. Basically is a state machine which changes his state whit commands received over an SPI bus or internal events. The transceiver has several programmable general purpose Inputs and outputs. These GPIOs are connected to PIC32 change notification input to generate an interrupt or connected to GPIO to MCP2210 USB-SPI bridge to inform to the base station for a packet received. A two pair of modules of CC110l radio module kit from different output power has been purchased which includes an antenna. This is to keep away from fabrication mistakes in RF hardware part or designs, although reference design and gerbers files are available on the webpage of the chip manufacturer. A neck bottle is present on the complete system, because the maximum data rate of CC110l transceiver is a half than CAN bus data rate, hence for high occupation of CAN bus is recommendable to filter the data or add more radio channels, because the buffers can’t sustain this load along the time. Unfortunately, during the development of the project, the relations with the INSIA, who develops the vehicle, was lost, for this reason, will be made impossible to test the final phases of the project like integration on the car, final test of integration, place of the antenna, enclosure of the electronics, connectors selection, etc. To test or evaluate the system, it was necessary to simulate the CAN bus with a hardware to feed the system with entry data. An early hardware prototype was adapted his software to send programed CAN frames at a fixed data rate and certain timing who simulate several levels of occupation of the CAN Bus. This CAN frames emulates the Bosch ECU MS3 Sport.