A framework for using real data with distributed low cost sensors

Currently, due to the widespread use of computers and the internet, students are trading libraries for the World Wide Web and laboratories with simulation programs. In most courses, simulators are made available to students and can be used to proof theoretical results or to test a developing hardware/product. Although this is an interesting solution: low cost, easy and fast way to perform some courses work, it has indeed major disadvantages. As everything is currently being done with/in a computer, the students are loosing the “feel” of the real values of the magnitudes. For instance in engineering studies, and mainly in the first years, students need to learn electronics, algorithmic, mathematics and physics. All of these areas can use numerical analysis software, simulation software or spreadsheets and in the majority of the cases data used is either simulated or random numbers, but real data could be used instead. For example, if a course uses numerical analysis software and needs a dataset, the students can learn to manipulate arrays. Also, when using the spreadsheets to build graphics, instead of using a random table, students could use a real dataset based, for instance, in the room temperature and its variation across the day. In this work we present a framework which uses a simple interface allowing it to be used by different courses where the computers are the teaching/learning process in order to give a more realistic feeling to students by using real data. A framework is proposed based on a set of low cost sensors for different physical magnitudes, e.g. temperature, light, wind speed, which are connected to a central server, that the students have access with an Ethernet protocol or are connected directly to the student computer/laptop. These sensors use the communication ports available such as: serial ports, parallel ports, Ethernet or Universal Serial Bus (USB). Since a central server is used, the students are encouraged to use sensor values results in their different courses and consequently in different types of software such as: numerical analysis tools, spreadsheets or simply inside any programming language when a dataset is needed. In order to do this, small pieces of hardware were developed containing at least one sensor using different types of computer communication. As long as the sensors are attached in a server connected to the internet, these tools can also be shared between different schools. This allows sensors that aren't available in a determined school to be used by getting the values from other places that are sharing them. Another remark is that students in the more advanced years and (theoretically) more know how, can use the courses that have some affinities with electronic development to build new sensor pieces and expand the framework further. The final solution provided is very interesting, low cost, simple to develop, allowing flexibility of resources by using the same materials in several courses bringing real world data into the students computer works.

Formal Contracts for Runtime Verification Support in the Ada Programming Language

Poster presented in The 28th GI/ITG International Conference on Architecture of Computing Systems (ARCS 2015). 24 to 26, Mar, 2015. Porto, Portugal.

A Methodology for Creating an Adapted Command Language for Driving an Intelligent Wheelchair

Intelligent wheelchairs (IW) are technologies that can increase the autonomy and independence of elderly people and patients suffering from some kind of disability. Nowadays the intelligent wheelchairs and the human-machine studies are very active research areas. This paper presents a methodology and a Data Analysis System (DAS) that provides an adapted command language to an user of the IW. This command language is a set of input sequences that can be created using inputs from an input device or a combination of the inputs available in a multimodal interface. The results show that there are statistical evidences to affirm that the mean of the evaluation of the DAS generated command language is higher than the mean of the evaluation of the command language recommended by the health specialist (p value = 0.002) with a sample of 11 cerebral palsy users. This work demonstrates that it is possible to adapt an intelligent wheelchair interface to the user even when the users present heterogeneous and severe physical constraints.

Aumento da Linguagem: Um estudo de caso

Objetivo: O autismo é uma perturbação global do desenvolvimento infantil que se prolonga por toda a vida e evolui com a idade. Carateriza-se pela presença de um desenvolvimento acentuadamente atípico na interação social e na comunicação, por um repertório de atividades e interesses marcadamente restritos, por dificuldades de flexibilidade de pensamento e de comportamento, que se exibem em comportamentos estereotipados e rígidos, associados a dificuldades na aceitação de alterações de rotinas. Dentro da grande variação possível na severidade do autismo, encontram-se crianças sem linguagem verbal e com dificuldades na comunicação por qualquer outra via, assim como se encontram crianças que apresentam linguagem verbal com um vocabulário restrito, repetitivo e não comunicativo. O objetivo principal deste trabalho é analisar e potenciar o desenvolvimento da linguagem, a aquisição de palavras e frases na criança autista, tendo em vista a generalização dos resultados. Para isso, foi realizado um estudo de caso de uma criança de 4 anos de idade com comportamentos que sugerem uma Perturbação Pervasiva do Desenvolvimento. Utilizou-se o recurso aos instrumentos de observação e entrevistas, procedendo-se à sua análise e ao desenho da intervenção a realizar. Foi implementada a intervenção “Ensinar crianças com autismo a fazer perguntas sobre objetos escondidos” na qual são utilizados brinquedos de interesse para a criança, motivacionais para a concretização do objetivo do estudo.