Towns conquer: a gamified application to collect geographical names (vernacular names/toponyms)

The traditional model for geospatial crowd sourcing asks the public to use their free time collecting geospatial data for no obvious reward. This model has shown to work very well on projects such as Open Street Map, but comes with some clear disadvantages such as reliance on small communities of ‘Neo-geographers’ and variability in quality and content of collected data. This project aims at tackling these problems by providing alternative motivation specifically a smartphone based computer game service. Geographical names (vernacular names/ toponyms) have been identified as potential targets as they are difficult to collect on a large scale and easy to collect locally, thus ideal for crowd sourcing. The data set will be a toponyms database provided by the Spanish National Geographic Institute (IGN Spain). A location based game is targeted as it is easy to guide data collection with in-game rewards (prizes, points, badges etc.). Android is chosen for its accessible API and wide use

Exploiting plume structure to decode gas source distance using metal-oxide gas sensors

Estimating the distance of a gas source is important in many applications of chemical sensing, like e.g. environmental monitoring, or chemically-guided robot navigation. If an estimation of the gas concentration at the source is available, source proximity can be estimated from the time-averaged gas concentration at the sensing site. However, in turbulent environments, where fast concentration fluctuations dominate, comparably long measurements are required to obtain a reliable estimate. A lesser known feature that can be exploited for distance estimation in a turbulent environment lies in the relationship between source proximity and the temporal variance of the local gas concentration – the farther the source, the more intermittent are gas encounters. However, exploiting this feature requires measurement of changes in gas concentration on a comparably fast time scale, that have up to now only been achieved using photo-ionisation detectors. Here, we demonstrate that by appropriate signal processing, off-theshelf metal-oxide sensors are capable of extracting rapidly fluctuating features of gas plumes that strongly correlate with source distance. We show that with a straightforward analysis method it is possible to decode events of large, consistent changes in the measured signal, so-called ‘bouts’. The frequency of these bouts predicts the distance of a gas source in wind-tunnel experiments with good accuracy. In addition, we found that the variance of bout counts indicates cross-wind offset to the centreline of the gas plume. Our results offer an alternative approach to estimating gas source proximity that is largely independent of gas concentration, using off-the-shelf metal-oxide sensors. The analysis method we employ demands very few computational resources and is suitable for low-power microcontrollers

Universal Bike Suspension Design

Cal Poly Bike Builders (CPBB) is a student club at Cal Poly helping students design and fabricate their own bicycles. Currently, club members build rigid frames and mountain bikes with only front-suspension–commonly referred to as a “hardtail”. As more students join the club, interest grows in building full-suspension mountain bikes (FSMTB). Designing and manufacturing a mountain bike rear-suspension system requires a diverse skillset and a substantial time commitment. As a result, individual efforts building FSMTB have proven unsuccessful. The scope of this project is to develop a defined method and necessary tools such that all CPBB members can efficiently build a FSMTB rear-suspension system. Initial background research drove engineering specifications developed from customer needs and wants. These parameters influenced initial concept development and evaluation. Detailed analysis then determined which concept design would become the final design. A manufacturing plan details the necessary tooling and potential challenges during the build process. A confirmation prototype of the final design assesses the manufacturing plan as well as the final designs. Testing validated the final design against engineering specifications. Project management details the project organization process, potential issues, and major deliverables. Final concluding remarks detail overall reflections, remarks, and future recommendations

Web 2.0 Broker: A standards-based service for spatio-temporal search of crowd-sourced information

Recent trends in information technology show that citizens are increasingly willing to share information using tools provided by Web 2.0 and crowdsourcing platforms to describe events that may have social impact. This is fuelled by the proliferation of location-aware devices such as smartphones and tablets; users are able to share information in these crowdsourcing platforms directly from the field at real time, augmenting this information with its location. Afterwards, to retrieve this information, users must deal with the different search mechanisms provided by the each Web 2.0 services. This paper explores how to improve on the interoperability of Web 2.0 services by providing a single service as a unique entry to search over several Web 2.0 services in a single step. This paper demonstrates the usefulness of the Open Geospatial Consortium's OpenSearch Geospatial and Time specification as an interface for a service that searches and retrieves information available in crowdsourcing services. We present how this information is valuable in complementing other authoritative information by providing an alternative, contemporary source. We demonstrate the intrinsic interoperability of the system showing the integration of crowd-sourced data in different scenarios

Cost-Benefit of Stockpiling Drugs for Influenza Pandemic

We analyzed strategies for the use of stockpiled antiviral drugs in the context of a future influenza pandemic and estimated cost-benefit ratios. Current stockpiling of oseltamivir appears to be cost-saving to the economy under several treatment strategies, including therapeutic treatment of patients and postexposure prophylactic treatment of patients' close contacts

Implementación de un sistema de determinación de orientación mediante diseño SOPC en una FPGA para vehículo aéreo no tripulado del tipo quadrotor

En la actualidad, los UAV (Vehículos Aéreos no Tripulados o conocidos también como Drones) se desarrollan con interés y en diversos ámbitos; debido a sus diversas áreas de aplicación como en la agricultura, reconocimiento en zonas de desastres, espionaje militar, etc. El sistema de control más importante de un UAV es el de orientación ya que sin este no se lograría otro tipo de control como el de velocidad y posición. Para controlar la orientación es necesario un sistema de determinación. Debido a que los sistemas de determinación convencionales son costosos y pesados, en este trabajo se aborda este problema al desarrollar un sistema de determinación de orientación para un UAV del tipo Quadrotor utilizando sensores de tecnología MEMS de bajo costo y pequeño tamaño. El sistema fue implementado en un dispositivo de lógica reconfigurable (FPGA) mediante dos módulos: hardware y software. En el módulo hardware se implementa el sistema SBA usando el lenguaje de descripción de hardware (VHDL) para la comunicación con los sensores. El módulo software se ejecuta en el procesador embebido SOPC NIOSII, el cual procesa los algoritmos de calibración y fusión de sensores (Filtro de Kalman Extendido) para la estimación de orientación. Se compararon tres diferentes algoritmos de determinación de orientación: un filtro de Kalman lineal y dos filtros de Kalman Extendidos (EKF). A través de las pruebas se demostró que el último algoritmo Filtro de Kalman Extendido empleado una matriz de rotación para la estimación de los ángulos de Euler es el de mejor rendimiento para el Quadrotor.TesisCampus Lima Centr

Calidad de Servicio y Satisfacción del cliente del Supermercado Plaza Vea del distrito de San Juan de Lurigancho en el año 2018

La vigente investigación presenta un nivel descriptivo correlacional, además es no experimental y de enfoque cuantitativo, donde el objetivo es determinar la relación de las variables Calidad de Servicio y Satisfacción de los clientes del Supermercado Plaza Vea del distrito de San Juan de Lurigancho en el año 2018. Nos apoyamos en las teorías propuestas por Berry, Zeithman y Parasuraman con sus dimensiones Tangibilidad,Faiabilidad,Capacidad de Respuesta,Seguridad,Empatia y Kotler y Armstrong. Además para las ganancia de los informacion se llevó a cabo un cuestionario de 22 y 30 ítems respectivamente para las variables Calidad de Servicio y Satisfacción del Cliente, lo cual fue validado por expertos respectivamente por 1 Metodólogo y 2 Temáticos. Posteriormente la población está conformada por una población infinita y una muestra de 384 clientes a los cuales se les empleo un cuestionario. Después se procesó la información al programa SPSS, donde se empleó para obtener las tablas respectivas, y se percibió que la Calidad de Servicio es muy buena con un 22,9% y la Satisfacción del cliente también con un 60,4%.Por ello los alcances que nos dan los resultados alcanzados en la prueba de Rho Spearman en la contratación de hipótesis entre las variables Calidad de Servicio y Satisfacción de los clientes, muestra una correlación fuerte de 0,867, y ello explica que la calidad de servicio que se brinda influye en el grado de satisfacción de los clientes que asisten al supermercado Plaza Vea del distrito de S.J.L