3 resultados para Shark fishing
em Instituto Politécnico do Porto, Portugal
Resumo:
Typically common embedded systems are designed with high resource constraints. Static designs are often chosen to address very specific use cases. On contrast, a dynamic design must be used if the system must supply a real-time service where the input may contain factors of indeterminism. Thus, adding new functionality on these systems is often accomplished by higher development time, tests and costs, since new functionality push the system complexity and dynamics to a higher level. Usually, these systems have to adapt themselves to evolving requirements and changing service requests. In this perspective, run-time monitoring of the system behaviour becomes an important requirement, allowing to dynamically capturing the actual scheduling progress and resource utilization. For this to succeed, operating systems need to expose their internal behaviour and state, making it available to the external applications, usually using a run-time monitoring mechanism. However, such mechanism can impose a burden in the system itself if not wisely used. In this paper we explore this problem and propose a framework, which is intended to provide this run-time mechanism whilst achieving code separation, run-time efficiency and flexibility for the final developer.
Resumo:
Tendo em conta a popularidade que as comunicações Wi-Fi têm na atualidade em vários dispositivos como computadores portáteis, telemóveis ou tablets, sendo estes utilizados praticamente por qualquer pessoa, surgiu a ideia de utilizar esta tecnologia de baixo custo e isenta de licenciamento num cenário de comunicações marítimas. Neste contexto, esta permite fornecer o acesso à Internet em banda larga a grupos de embarcações, que atualmente recorrem a tecnologias de elevado custo (satélite) e/ou de banda estreita (rádios VHF). Com o acesso em banda larga, os proprietários poderão utilizar aplicações informáticas de interesse à atividade de negócio ou de lazer, até então só disponíveis junto à costa onde existe cobertura celular. Nesta tese pretende-se fazer um estudo teórico e prático sobre o alcance e respetivo desempenho de comunicações de banda larga em ambiente marítimo, utilizando parte da gama de frequências dos 5,8 GHz, isenta de licença, e a norma IEEE 802.11n. Para se utilizar equipamento produzido em massa a operar nessa gama, existem duas normas disponíveis, a IEEE 802.11a e a IEEE 802.11n. Optou-se pelo IEEE 802.11n pois os esquemas de codificação ao nível físico permitem débitos mais elevados e MIMO. Para a realização dos testes experimentais, foi necessário elaborar um protótipo de comunicação ponto a ponto, constituído por dois nós de comunicação. Um deles foi instalado numa embarcação de pesca em colaboração com a Associação Propeixe e o outro no Edifício Transparente, no Porto, em colaboração com a entidade gestora do edifício e a Associação Porto Digital. Tanto quanto se conhece é o primeiro teste de comunicações Wi-Fi realizado nestas condições a nível mundial. Os objetivos do trabalho foram atingidos. Foi possível estabelecer comunicações Wi-Fi na banda dos 5,8 GHz até cerca de 7 km com débito médio mínimo de 1 Mbit/s. O ambiente de testes desenvolvido e os resultados obtidos servirão de base para futuros trabalhos de investigação na área das comunicações marítimas.
Resumo:
Smart Cities are designed to be living systems and turn urban dwellers life more comfortable and interactive by keeping them aware of what surrounds them, while leaving a greener footprint. The Future Cities Project [1] aims to create infrastructures for research in smart cities including a vehicular network, the BusNet, and an environmental sensor platform, the Urban Sense. Vehicles within the BusNet are equipped with On Board Units (OBUs) that offer free Wi-Fi to passengers and devices near the street. The Urban Sense platform is composed by a set of Data Collection Units (DCUs) that include a set of sensors measuring environmental parameters such as air pollution, meteorology and noise. The Urban Sense platform is expanding and receptive to add new sensors to the platform. The parnership with companies like TNL were made and the need to monitor garbage street containers emerged as air pollution prevention. If refuse collection companies know prior to the refuse collection which route is the best to collect the maximum amount of garbage with the shortest path, they can reduce costs and pollution levels are lower, leaving behind a greener footprint. This dissertation work arises in the need to monitor the garbage street containers and integrate these sensors into an Urban Sense DCU. Due to the remote locations of the garbage street containers, a network extension to the vehicular network had to be created. This dissertation work also focus on the Multi-hop network designed to extend the vehicular network coverage area to the remote garbage street containers. In locations where garbage street containers have access to the vehicular network, Roadside Units (RSUs) or Access Points (APs), the Multi-hop network serves has a redundant path to send the data collected from DCUs to the Urban Sense cloud database. To plan this highly dynamic network, the Wi-Fi Planner Tool was developed. This tool allowed taking measurements on the field that led to an optimized location of the Multi-hop network nodes with the use of radio propagation models. This tool also allowed rendering a temperature-map style overlay for Google Earth [2] application. For the DCU for garbage street containers the parner company provided the access to a HUB (device that communicates with the sensor inside the garbage containers). The Future Cities use the Raspberry pi as a platform for the DCUs. To collect the data from the HUB a RS485 to RS232 converter was used at the physical level and the Modbus protocol at the application level. To determine the location and status of the vehicles whinin the vehicular network a TCP Server was developed. This application was developed for the OBUs providing the vehicle Global Positioning System (GPS) location as well as information of when the vehicle is stopped, moving, on idle or even its slope. To implement the Multi-hop network on the field some scripts were developed such as pingLED and “shark”. These scripts helped upon node deployment on the field as well as to perform all the tests on the network. Two setups were implemented on the field, an urban setup was implemented for a Multi-hop network coverage survey and a sub-urban setup was implemented to test the Multi-hop network routing protocols, Optimized Link State Routing Protocol (OLSR) and Babel.