Variable step-size LMS algorithm with a quotient form

An improved robust variable step-size least mean square (LMS) algorithm is developed in this paper. Unlike many existing approaches, we adjust the variable step-size using a quotient form of filtered versions of the quadratic error. The filtered estimates of the error are based on exponential windows, applying different decaying factors for the estimations in the numerator and denominator. The new algorithm, called more robust variable step-size (MRVSS), is able to reduce the sensitivity to the power of the measurement noise, and improve the steady-state performance for comparable transient behavior, with negligible increase in the computational cost. The mean convergence, the steady-state performance and the mean step-size behavior of the MRVSS algorithm are studied under a slow time-varying system model, which can be served as guidelines for the design of MRVSS algorithm in practical applications. Simulation results are demonstrated to corroborate the analytic results, and to compare MRVSS with the existing representative approaches. Superior properties of the MRVSS algorithm are indicated.

Validation of autism spectrum quotient ddult version in an Australian sample

The Autism Spectrum Quotient is used to assess autistic spectrum traits in intellectually competent adults in both the general population and the autism spectrum community. While the autism spectrum Quotient has been validated in several different cultures, to date no study has assessed the psychometrics of the Autism Spectrum Quotient on an Australian population. The purpose of this study was to assess the psychometrics of the autism spectrum Quotient in an Australian sample of both typically developing individuals (n = 128) and individuals with autism spectrum disorder (n = 104). The results revealed that the internal consistency and the test-retest reliability were satisfactory; individuals with autism spectrum disorder scored higher on total Autism Spectrum Quotient score and its subscales than typically developing individuals; however, gender differences were not apparent on total score. Possible cultural differences may explain some of the psychometric variations found. The results of this analysis revealed that the Autism Spectrum Quotient was a reliable instrument for investigating variation in autistic symptomology in both typically developing and Autism Spectrum Disorders populations within an Australian population.

Making the most of the self-quotient image in face recognition

The self-quotient image is a biologically inspired representation which has been proposed as an illumination invariant feature for automatic face recognition. Owing to the lack of strong domain specific assumptions underlying this representation, it can be readily extracted from raw images irrespective of the persons's pose, facial expression etc. What makes the self-quotient image additionally attractive is that it can be computed quickly and in a closed form using simple low-level image operations. However, it is generally accepted that the self-quotient is insufficiently robust to large illumination changes which is why it is mainly used in applications in which low precision is an acceptable compromise for high recall (e.g. retrieval systems). Yet, in this paper we demonstrate that the performance of this representation in challenging illuminations has been greatly underestimated. We show that its error rate can be reduced by over an order of magnitude, without any changes to the representation itself. Rather, we focus on the manner in which the dissimilarity between two self-quotient images is computed. By modelling the dominant sources of noise affecting the representation, we propose and evaluate a series of different dissimilarity measures, the best of which reduces the initial error rate of 63.0% down to only 5.7% on the notoriously challenging YaleB data set.

Efficacy of neuromuscular electrical stimulation in improving ankle kinetics during walking in children with cerebral palsy

Neuromuscular electrical stimulation (NMES) applied to the triceps surae muscle is claimed to be effective in improving gait in children with cerebral palsy. The main aim of this study was to determine the effect of NMES on the triceps surae muscle in improving the gait and function of children with cerebral palsy. Twelve children with spastic diplegia or hemiplegia were recruited and randomly assigned to the two experimental groups. The period of the study was 8 weeks (2-4-2 week design). The initial 2 weeks was the control period, in which usual treatment was given to both groups of patients with a pre- and post-treatment assessment. The middle 4 weeks was the experimental period, in which the Treadmill+NMES group received NMES plus treadmill walking training and the Treadmill group underwent treadmill walking training only. Assessment was performed at 2-week intervals. The final 2 weeks was the carryover period, in which treatment to be tested was stopped and reassessment performed again at the end of week 8. An additional treatment and post-treatment assessment were given at weeks 2, 4 and 6 to test for the immediate effect of treatment. Altogether, eight repeated measures with three-dimensional gait analysis and five clinical measurements using the gross motor function measure (GMFM) were performed. Kinetic changes in ankle moment quotient (AMQ) and ankle power quotient (APQ) were not significant either immediately or cumulatively in both groups. Improvement in trend was observed in both groups immediately but not cumulatively. Using the GMFM, functional changes were detected in standing (GMST, p < 0.001) and in walking (GMWK, p = 0.003) using a 'time' comparison. Significant interaction was also detected in GMWK using 'treatment by time' (p = 0.035). The difference between the two groups was not significant on 'treatment' comparison of both GMST and GMWK. Both groups showed improvement in GMST and GMWK cumulatively but there was no difference between the two groups. The effects in both groups could be carried over to 2 weeks after interventions stopped. Both the Treadmill+NMES and Treadmill groups showed improvement in functional outcomes. The trend in the changes of the GMFM score suggested that improvements were greater in the Treadmill+NMES group. There was also a trend showing some immediate improvement in AMQ and APQ.

A probabilistic movement model for shortest path formation in virtual ant-like agents

We propose a probabilistic movement model for controlling ant-like agents foraging between two points. Such agents are all identical, simple, autonomous and can only communicate indirectly through the environment. These agents secrete two types of pheromone, one to mark trails towards the goal and another to mark trails back to the starting point. Three pheromone perception strategies are proposed (Strategy A, B and C). Agents that use strategy A perceive the desirability of a neighbouring location as the difference between levels of attractive and repulsive pheromone in that location. With strategy B, agents perceive the desirability of a location as the quotient of levels of attractive and repulsive pheromone. Agents using strategy C determine the product of the levels of attractive pheromone with the complement of levels of repulsive pheromone. We conduct experiments to confirm directionality as emergent property of trails formed by agents that use each strategy. In addition, we compare path formation speed and the quality of the formed path under changes in the environment. We also investigate each strategy's robustness in environments that contain obstacles. Finally, we investigate how adaptive each strategy is when obstacles are eventually removed from the scene and find that the best strategy of these three is strategy A. Such a strategy provides useful guidelines to researchers in further applications of swarm intelligence metaphors for complex problem solving.

Good lives sexual offender treatment for mentally disordered offenders

Purpose – The main aim of this paper is to describe the content, structure and preliminary evaluation of a new Good Lives sexual offender treatment group (SOTG) for male mentally disordered offenders.

Design/methodology/approach – As evaluation and work on the SOTG is necessarily ongoing, case study descriptions of each patient who attended the SOTG and of their progress throughout SOTG are described.

Findings – Overall, the case study progress reports suggest that mentally disordered male patients made some notable progress on SOTG despite their differential and complex needs. In particular, attention to each patient's life goals and motivators appeared to play a key role in promoting treatment engagement. Furthermore, patients with lower intelligence quotient and/or indirect pathways required additional support to understand the links between the Good Lives Model (GLM) and their own risk for sexual offending.

Research limitations/implications – Further evaluations of SOTG groups, that incorporate higher numbers of participants and adequate control groups, are required before solid conclusions and generalisations can be made.

Practical implications – Practitioners should consider providing additional support to clients when implementing any future SOTGs for mentally disordered patients.

Originality/value – This is the first paper to outline and describe implementation of the GLM in the sexual offender treatment of mentally disordered male patients group format. As such, it will be of interest to any professionals involved in the facilitation of sexual offender treatment within this population.

Evaluating the feasibility, effectiveness and acceptability of an active play intervention for disadvantaged preschool children : a pilot study

Australian children from disadvantaged families are at increased risk of delays in acquiring fundamental movement skills, with physical inactivity and increased risk of the potential consequences of obesity. The aims of this pilot study were to: 1) assess the fundamental movement skills of disadvantaged children; 2) evaluate the feasibility and effectiveness of adapting an existing parenting and child development program to incorporate additional weekly play activities (the intervention); and 3) examine the acceptability of the intervention. Children aged 1.5-5 years were assessed pre-intervention (n = 26) and postintervention (n = 16) over a period of 22 weeks using the gross motor component of the Peabody Developmental Motor Scales - 2nd Edition (PDMS-2) (Folio & Fewell, 2000). Parents completed a demographic and environmental survey and those implementing the intervention were interviewed to assess the feasibility and acceptability of the intervention. Pre-intervention the children from disadvantaged families had locomotion, object manipulation and Gross Motor Quotient (GMQ) scores significantly below the norm-referenced standards of the PDMS-2 (p < 0.05). The intervention was associated with improvements in the locomotion (8.35 to 9.5; p = 0.009), and object manipulation (8.6 to 9.6; p = 0.04) subtest scores and the GMQ scores (92.6 to 99.3; p < 0.01). The intervention was deemed feasible and acceptable by those implementing the program. Low levels of physical activity in disadvantaged communities may be related to delayed acquisition of fundamental movement skills in childhood. This pilot study raises the possibility of correcting this deficit in early childhood, and improving the potential for all children to lead an active life.

Sustainability leading to building intelligence - knowledge sharing and transfer

A sustainable building regards energy use and greenhouse gas emissions as major components, and its sustainability is within a larger context of benefits about productivity, efficiency, health and safety, and serviceability. An intelligent building requires a quality building automation system design which increases productivity, reduces operational costs and protects the people using the facilities. Council House 2 (CH2) is claimed to change the way Australia approaches ecologically sustainable design and construction. Its building intelligence can be evaluated by energy and water efficiency and quality of indoor environments that elevate productivity and lower operational costs. This paper uses triangulation techniques, based upon the "Building Intelligence Quotient" by the Continental Automated Buildings Association (CABA) and "Green Star Rating" by the Green Building Council of Australia (GBCA), to cross-verify CH2’s sustainability and intelligence. The author examines 18 design reports and 10 research papers to case-study the effectiveness and efficiency of CH2 and concludes that it is not just another sustainable construction but an intelligent building per se. By leveraging the existing knowledge base of green rating, building professions can measure the intelligence without "reinventing the wheel".

Special issue : Computational intelligence models for image processing and information reasoning

Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, e.g., learning, adaptation, and evolution. Examples of some popular CI models include fuzzy systems, artificial neural networks, evolutionary algorithms, multi-agent systems, decision trees, rough set theory, knowledge-based systems, and hybrid of these models. This special issue highlights how different computational intelligence models, coupled with other complementary techniques, can be used to handle problems encountered in image processing and information reasoning.

‘Subtypes’ in the presentation of autistic traits in the general adult population

The present study examined the presentation of autistic traits in a large adult population sample (n = 2,343). Cluster analysis indicated two subgroups with clearly distinguishable trait profiles. One group (n = 1,059) reported greater social difficulties and lower detail orientation, while the second group (n = 1,284) reported lesser social difficulties and greater detail orientation. We also report a three-factor solution for the autism-spectrum quotient, with two, related, social-themed factors (Sociability and Mentalising) and a third non-social factor that varied independently (Detail Orientation). These results indicate that different profiles of autistic characteristics tend to occur in the adult nonclinical population. Research into nonclinical variance in autistic features may benefit by considering social- and detail-related trait domains independently.

Overlap between autistic and schizotypal personality traits is not accounted for by anxiety and depression.

Autism spectrum and schizophrenia spectrum disorders are classified separately in the DSM-5, yet research indicates that these two disorders share overlapping features. The aim of the present study was to examine the overlap between autistic and schizotypal personality traits and whether anxiety and depression act as confounding variables in this relationship within a non-clinical population. One hundred and forty-four adults completed the Autism Spectrum Quotient and the Schizotypal Personality Questionnaire and the Depression Anxiety Stress Scales-21. A number of associations were seen between autistic and schizotypal personality traits. However, negative traits were the only schizotypal feature to uniquely predict global autistic traits, thus highlighting the importance of interpersonal qualities in the overlap of autistic and schizotypal characteristics. The inclusion of anxiety and depression did not alter relationships between autistic and schizotypal traits, indicating that anxiety and depression are not confounders of this relationship. These findings have important implications for the conceptualisation of both disorders.

New variable step-sizes minimizing mean-square deviation for the lms-type algorithms

The least-mean-square-type (LMS-type) algorithms are known as simple and effective adaptation algorithms. However, the LMS-type algorithms have a trade-off between the convergence rate and steady-state performance. In this paper, we investigate a new variable step-size approach to achieve fast convergence rate and low steady-state misadjustment. By approximating the optimal step-size that minimizes the mean-square deviation, we derive variable step-sizes for both the time-domain normalized LMS (NLMS) algorithm and the transform-domain LMS (TDLMS) algorithm. The proposed variable step-sizes are simple quotient forms of the filtered versions of the quadratic error and very effective for the NLMS and TDLMS algorithms. The computer simulations are demonstrated in the framework of adaptive system modeling. Superior performance is obtained compared to the existing popular variable step-size approaches of the NLMS and TDLMS algorithms. © 2014 Springer Science+Business Media New York.

An examination of the influence of maternal depression trajectories on child cognitive development and adolescent psychotic experiences

 This thesis investigated trajectories of maternal depression over time, and their influence on offspring's cognitive development in childhood and subsequent risk of psychotic experiences in early adolescence. Offspring’s IQ was also examined as a potential mediator of the relationship between maternal depression and offspring’s risk of psychotic experiences.