On the Performance of Eigenvalue-Based Cooperative Spectrum Sensing for Cognitive Radio

In this paper, the distribution of the ratio of extreme eigenvalues of a complex Wishart matrix is studied in order to calculate the exact decision threshold as a function of the desired probability of false alarm for the maximum-minimum eigenvalue (MME) detector. In contrast to the asymptotic analysis reported in the literature, we consider a finite number of cooperative receivers and a finite number of samples and derive the exact decision threshold for the probability of false alarm. The proposed exact formulation is further reduced to the case of two receiver-based cooperative spectrum sensing. In addition, an approximate closed-form formula of the exact threshold is derived in terms of a desired probability of false alarm for a special case having equal number of receive antennas and signal samples. Finally, the derived analytical exact decision thresholds are verified with Monte-Carlo simulations. We show that the probability of detection performance using the proposed exact decision thresholds achieves significant performance gains compared to the performance of the asymptotic decision threshold.

Motor Skills in Children Aged 7–10 Years, Diagnosed with Autism Spectrum Disorder

This study used the Movement Assessment Battery for Children (M-ABC2) to assess the level of motor skill in children aged 7-10 years with autism (n=18) and compared their performance to two groups of age-matched typically developing children; a receptive vocabulary matched group (n=19) and a nonverbal IQ matched group (n=22). Although the results support previous work, as indicated by a significant general motor impairment in the group with autism, a sub-analysis of the M-ABC2 revealed that there were only 2 out of 8 subcomponent skills which showed universally significant specific deficits for the autism group; namely catching a ball and static balance. These results suggest that motor skill deficits associated with autism may not be pervasive but more apparent in activities demanding complex, interceptive actions or core balance ability.

School as ‘Micro-city’ for the Autism Spectrum Disorder (ASD) Pupil

As architects and designers we have a responsibility to provide an inclusive built environment. For the person with Autistic Spectrum Disorder (ASD) however, the built environment can be a frightening and confusing place, difficult to negotiate and tolerate. The challenge of integrating more fully into society is denied by both having difficulty in communication and in an alienating built environment. The following paper therefore firstly outlines the challenge when designing for those with ASD. It then illustrates, by critically examining the school as a 'micro-city' (Hertzberger 2008) that a voice can be given to those with ASD. It then goes onto highlight, through two case studies in an Irish context, some of the lessons that can be learnt from pupils with ASD that are applicable to the city beyond. Finally in conclusion it suggests some of the benefits for an enriched built environment for all, when listening to the pupil with ASD. The objective is twofold; firstly to gain a better understanding of the needs of those with ASD and secondly, to ascertain what can be learnt from those with ASD that can challenge our perception of not just school, but also of the city.

Autism Spectrum Disorder: Evidence-based interventions

Autism Spectrum Disorders (ASD) are pervasive developmental disorders that are diagnosed along a continuum of behavioural variants in social interaction, communication, and imagination. Some individuals on the spectrum are ‘high-functioning’ and able to cope in every day environments, while others are severely affected, non-verbal, and may have comorbid diagnoses, such as intellectual disability, epilepsy, and/or obsessional, conduct, or mental health disorders. ASD diagnosis can be formulated from as early as 6-months to one year of age, although it is more common that children are aged 2-3 years before diagnosis is affirmed. Frequently, higher functioning individuals are not diagnosed until adolescence or even adulthood.