In-Cylinder Pressure Estimation from Rotational Speed Measurements via Extended Kalman Filter.

Real-time estimation of the in-cylinder pressure of combustion engines is crucial to detect failures and improve the performance of the engine control system. A new estimation scheme is proposed based on the Extended Kalman Filter, which exploits measurements of the engine rotational speed provided by a standard phonic wheel sensor. The main novelty lies in a parameterization of the combustion pressure, which is generated by averaging experimental data collected in different operating points.

Asynchronous Distributed Learning From Constraints.

In this brief, the extension of the framework of Learning from Constraints (LfC) to a distributed setting where multiple parties, connected over the network, contribute to the learning process is studied. LfC relies on the generic notion of "constraint" to inject knowledge into the learning problem, and, due to its generality, it deals with possibly nonconvex constraints, enforced either in a hard or soft way. Motivated by recent progresses in the field of distributed and constrained nonconvex optimization, we apply the (distributed) asynchronous method of multipliers (ASYMM) to LfC.

Walking Ahead: The Headed Social Force Model.

Human motion models are finding an increasing number of novel applications in many different fields, such as building design, computer graphics and robot motion planning. The Social Force Model is one of the most popular alternatives to describe the motion of pedestrians. By resorting to a physical analogy, individuals are assimilated to point-wise particles subject to social forces which drive their dynamics.

Proposal for an Enhanced Physical Education Program in the Primary School: Evaluation of Feasibility and Effectiveness in Improving Physical Skills and Fitness.

Background: A large proportion of children do not reach the recommended levels of physical activity for health. A quasiexperimental study with nonrandom assignment was performed to evaluate the effectiveness and feasibility of a school-based physical education intervention aimed at increasing the levels of moderate-to-vigorous physical activity (MVPA).

Methods: Ten classes from 4 primary schools, including 241 children aged 8 to 10 years, were recruited.

Effects of a school based intervention to promote healthy habits in children 8-11 years old, living in the lowland area of Bologna Local Health Unit.

Background: A school based health promotion intervention was performed with the aim of increasing physical activity and improving the dietary habits of primary school pupils, using integrated educational strategies involving schools, families, public bodies, sports associations and public health operators.

Methods: The intervention concerned 11 classes during 3 school years from 2009-10 (231 third-year school children) to 2011-12 (234 fifth-year school children). Information was collected both before and after the intervention about the dietary habits and the physical activities practised by the children, using the questionnaires of the project !OKkio alla Salute! which were administered to both children and parents.

A remote lab for experiments with a team of mobile robots.

In this paper, a remote lab for experimenting with a team of mobile robots is presented. Robots are built with the LEGO Mindstorms technology and user-defined control laws can be directly coded in the Matlab programming language and validated on the real system. The lab is versatile enough to be used for both teaching and research purposes.

Effects of a 2-year school-based intervention of enhanced physical education in the primary school.

Background: This study aimed to assess whether a school-based physical education intervention was effective in improving physical abilities and influencing daily physical activity habits in primary school children. The possible effect on body mass index (BMI) was also considered.

Methods: Twenty-six 3rd-grade classes were randomly selected stratifying by geographic location (city, plain, hills) and were assigned either to an intervention (127 boys; 120 girls) or to a traditional (129 boys; 121 girls) physical education program.

Physical fitness of primary school children in relation to overweight prevalence and physical activity habits.

A cross-sectional study was carried out to analyse, through a limited number of fitness tests, the main conditioning and coordinative abilities in children aged 8-9 years, and their relationship with gender, anthropometric variables and physical activity habits. The height and weight of 256 boys and 241 girls were measured and information about physical activity habits was collected using a self-administered questionnaire. Physical performance was assessed by means of a few standardised tests: 'sit & reach', medicine-ball forward throw, standing long jump, 20 m running speed, and forward roll test.

[Survey on sports practice and physical activity of primary school children living in the area of Bologna Local Health Unit in relation with some individual and environmental variables].

A randomized stratified sample of 522 children attending the third class of primary schools within the area of Bologna Local Health Unit was analysed for physical activity and sports practice. Information about the children's habits and availability of facilities for physical and sports activities were collected by means of structured questionnaires completed by children (507 respondents), parents (491), reference teachers for physical education (26) and class teachers (46) during the school year 2006-07. At the same time, the children's heights and weights were measured in order to calculate BMI values.

Off-line removal of TMS-induced artifacts on human electroencephalography by Kalman filter.

In this paper we present an off-line Kalman filter approach to remove transcranial magnetic stimulation (TMS)-induced artifacts from electroencephalographic (EEG) recordings. Two dynamic models describing EEG and TMS signals generation are identified from data and the Kalman filter is applied to the linear system arising from their combination. The keystone of the approach is the use of time-varying covariance matrices suitably tuned on the physical parameters of the problem that allow to model the nonstationary components of the EEG-TMS signal.