Assigning real-time tasks on heterogeneous multiprocessors with two types of processors

Consider the problem of scheduling a set of implicitdeadline sporadic tasks on a heterogeneous multiprocessor so as to meet all deadlines. Tasks cannot migrate and the platform is restricted in that each processor is either of type-1 or type-2 (with each task characterized by a different speed of execution upon each type of processor). We present an algorithm for this problem with a timecomplexity of O(n·m), where n is the number of tasks and m is the number of processors. It offers the guarantee that if a task set can be scheduled by any non-migrative algorithm to meet deadlines then our algorithm meets deadlines as well if given processors twice as fast. Although this result is proven for only a restricted heterogeneous multiprocessor, we consider it significant for being the first realtime scheduling algorithm to use a low-complexity binpacking approach to schedule tasks on a heterogeneous multiprocessor with provably good performance.

Intra-type migrative scheduling of implicit-deadline sporadic tasks on two- type heterogeneous multiprocessor

Consider the problem of scheduling a set of implicit-deadline sporadic tasks to meet all deadlines on a two-type heterogeneous multiprocessor platform. Each processor is either of type-1 or type-2 with each task having different execution time on each processor type. Jobs can migrate between processors of same type (referred to as intra-type migration) but cannot migrate between processors of different types. We present a new scheduling algorithm namely, LP-Relax(THR) which offers a guarantee that if a task set can be scheduled to meet deadlines by an optimal task assignment scheme that allows intra-type migration then LP-Relax(THR) meets deadlines as well with intra-type migration if given processors 1/THR as fast (referred to as speed competitive ratio) where THR <= 2/3.

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

Carnitine tailored Sensors on Surface Molecular Imprinting based on Graphene layers

III Jornadas de Electroquímica e Inovação (Electroquímica e Nanomateriais), na Universidade de Trás-os-Montes e Alto Douro, Vila Real, 16 a 17 de Setembro de 2013

Host-Tailored Sensors for Carnitine Potentiometric Measurements based on Surface Molecular Imprinting

Graduate Student Symposium on Molecular Imprinting 2013, na Queen’s University, Belfast, United Kingdom, 15 a 17 de Agosto de 2013

A opinião de crianças em idade pré-escolar sobre os seus pares com deficiência

Este estudo teve como objetivo avaliar o conhecimento, as perceções e a intenção comportamental - as atitudes - das crianças em idade pré-escolar com desenvolvimento típico relativamente aos seus pares com incapacidade ou deficiência. As atitudes das crianças foram avaliadas a partir da observação de fotografias de crianças de três grupos distintos: (1) com incapacidade intelectual, (2) com incapacidade motora e (3) sem incapacidades. Participaram nesta investigação 34 crianças a frequentar o ensino pré-escolar, com mais de 4 anos de idade e com desenvolvimento típico. Os participantes foram selecionados de 4 salas com crianças com Necessidades Adicionais de Suporte (NAS) e 4 sem crianças com NAS. A recolha dos dados foi efetuada através de quatro instrumentos: "Understanding Disability Scale", "Perceived Attributes Scale", "Perceived Capacibilities Scale", "Behavioral Intentions Scale". Os resultados obtidos indicaram a existência de muitas dúvidas sobre o que é a deficiência física e incapacidade intelectual. Relativamente à perceção de atributos e capacidades, verificou-se que existem opiniões mais positivas em relação aos pares com desenvolvimento típico comparativamente aos pares com incapacidades. Ao nível da intenção comportamental, os resultados mostraram que não existem diferenças entre os três grupos, isto é, o facto de os pares terem um desenvolvimento típico ou terem incapacidade intelectual ou deficiência física, não determina a predisposição das crianças para interagirem perante os mesmos. Contrariamente à nossa expectativa, o ambiente educativo (inclusivo vs. nãoinclusivo, isto é, ter ou não na mesma turma colegas com incapacidades ou deficiência) não tem um impacto significativo nas atitudes das crianças