Abstract
Computer network attacks are vast and negatively impact the infrastructure and its applicational services. From a cyber offensive and defensive perspective, there are a plethora of tools to craft and inject customized malicious packets in the network and exploit operating systems and application vulnerabilities. Those tools are however hard to operate by practitioners with less knowledge on networking fundamentals and students in the early stage of their studies. This paper proposes an easy-to-use application tool that can produce customized Denial of Service (DoS) and spoofing attacks. It was developed in Python and takes advantage of scapy library to process and inject network packets. A set of experiments was made, and the results obtained show the efficiency and accuracy of the attacks, by impairing the proper functioning of the victim's machines.

Abstract
Purpose This study aims to understand why young people are interested in buying frugal innovations. Design/methodology/approach Data were collected with a survey administered to 534 university students enrolled in various fields of study (e.g. sciences, technology, economics and fine arts). Using the Tata Nano car as an example of frugal innovation, a model based on the unified theory of acceptance and use of technology was developed using partial least squares structural equation modeling. Findings The model's results reveal that effort expectancy, performance expectancy and facilitating conditions are critical factors that explain university students' intention to buy Tata Nano. Originality/value Although frugal innovations are often introduced first in developing countries, frugal innovations could be highly relevant to users in developed nations as these innovations can provide market opportunities in terms of cost-conscious, relatively low-income and sustainability-conscious consumers.

Abstract
O trabalho desenvolvido tem como objetivos identificar e compreender que estratégias de autorregulação e corregulação das aprendizagens foram adotadas pelos estudantes de programação de computadores no ensino a distância na transição entre iniciantes e proficientes. Este estudo decorreu na Unidade Curricular “Laboratório de Desenvolvimento de Software” (LDS) do 2.º semestre do 2.º ano da Licenciatura de Engenharia Informática da Universidade Aberta, com alunos heterogéneos em idade, residência, habilitações académicas e profissão. Adotou-se uma metodologia de investigação qualitativa por análise de conteúdo (Amado, 2014) de reflexões quinzenais solicitadas aos estudantes, sobre o processo de aprendizagem. A construção das matrizes de análise de conteúdo baseou-se no modelo teórico de Zimmerman (2013). Os resultados apontam para uma maior incidência na adoção de estratégias de autorregulação de aprendizagem de organização e planeamento. As menos frequentes foram a procura de ajuda e a consciência das dificuldades. Nas de corregulação de aprendizagem, as mais evidenciadas foram as de gestão do trabalho em equipa e planeamento. As menos evidentes foram a consciência das dificuldades e a procura de ajuda.

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Abstract
In this paper, we discuss the design considerations and goals of an interactive digital musical instrument (DMI) for novice pianists. It aims to promote the practice of melodic improvisation by guiding pianists in the selection of notes. The DMI includes two major components: a generative jazz model (software) and an illuminating keyboard controller (hardware). Visual feedback in the form of illuminated keyboard controller keys guides notes selection. Illuminated keys correspond to scale degrees that comply with a harmonic structure generated on-the-fly. The generative nature of the engine allows high degrees of novelty while guaranteeing a structurally-coherent harmonic structure anchored in the blues/jazz idiom. Preliminary experimental results inform critical directions for future design iterations of the proposed system.

Abstract
An efficient unit commitment planning must consider frequency regulation capacity in the model. Such models are more complicated under a high penetration level of renewable energy because of renewable ramping and uncertainty. This paper addresses these issues in the unit commitment. The proposed model for unit commitment considers uncertainty and ramping of wind power, frequency regulation capacity, spinning reserve, demand response, and pumped-storage hydroelectricity. Two reserve capacities including primary frequency regulation and spinning reserve are designed to handle the intermittency and ramping of renewable energies. In order to optimize the costs, the pumped-storage hydroelectricity and demand response program are also included to deal with ramping and uncertainty. The numerical results specify that the arrangement of frequency regulation capacity, pumped-storage system and demand response can effectively tackle both the ramping and uncertainty. The system includes 10-generator with total power equal to 1070 MW and one wind generator with 300 MW power. The initial wind integration level is about 28%. It is verified that decreasing the frequency regulation capacity by 10% reduces wind integration level by 94%. The demand response and pumped-storage increase wind integration level by 10% and 16%; while both together increase wind integration by 25% compared to the initial level. The wind integration level without large wind ramping can be increased up to 200%.