Soft computing based parameter identification in pavements and geomechanical systems

Accurate estimation of road pavement geometry and layer material properties through the use of proper nondestructive testing and sensor technologies is essential for evaluating pavement’s structural condition and determining options for maintenance and rehabilitation. For these purposes, pavement deflection basins produced by the nondestructive Falling Weight Deflectometer (FWD) test data are commonly used. The nondestructive FWD test drops weights on the pavement to simulate traffic loads and measures the created pavement deflection basins. Backcalculation of pavement geometry and layer properties using FWD deflections is a difficult inverse problem, and the solution with conventional mathematical methods is often challenging due to the ill-posed nature of the problem. In this dissertation, a hybrid algorithm was developed to seek robust and fast solutions to this inverse problem. The algorithm is based on soft computing techniques, mainly Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) as well as the use of numerical analysis techniques to properly simulate the geomechanical system. A widely used pavement layered analysis program ILLI-PAVE was employed in the analyses of flexible pavements of various pavement types; including full-depth asphalt and conventional flexible pavements, were built on either lime stabilized soils or untreated subgrade. Nonlinear properties of the subgrade soil and the base course aggregate as transportation geomaterials were also considered. A computer program, Soft Computing Based System Identifier or SOFTSYS, was developed. In SOFTSYS, ANNs were used as surrogate models to provide faster solutions of the nonlinear finite element program ILLI-PAVE. The deflections obtained from FWD tests in the field were matched with the predictions obtained from the numerical simulations to develop SOFTSYS models. The solution to the inverse problem for multi-layered pavements is computationally hard to achieve and is often not feasible due to field variability and quality of the collected data. The primary difficulty in the analysis arises from the substantial increase in the degree of non-uniqueness of the mapping from the pavement layer parameters to the FWD deflections. The insensitivity of some layer properties lowered SOFTSYS model performances. Still, SOFTSYS models were shown to work effectively with the synthetic data obtained from ILLI-PAVE finite element solutions. In general, SOFTSYS solutions very closely matched the ILLI-PAVE mechanistic pavement analysis results. For SOFTSYS validation, field collected FWD data were successfully used to predict pavement layer thicknesses and layer moduli of in-service flexible pavements. Some of the very promising SOFTSYS results indicated average absolute errors on the order of 2%, 7%, and 4% for the Hot Mix Asphalt (HMA) thickness estimation of full-depth asphalt pavements, full-depth pavements on lime stabilized soils and conventional flexible pavements, respectively. The field validations of SOFTSYS data also produced meaningful results. The thickness data obtained from Ground Penetrating Radar testing matched reasonably well with predictions from SOFTSYS models. The differences observed in the HMA and lime stabilized soil layer thicknesses observed were attributed to deflection data variability from FWD tests. The backcalculated asphalt concrete layer thickness results matched better in the case of full-depth asphalt flexible pavements built on lime stabilized soils compared to conventional flexible pavements. Overall, SOFTSYS was capable of producing reliable thickness estimates despite the variability of field constructed asphalt layer thicknesses.

A Multifaceted Study of Scedosporium boydii Cell Wall Changes during Germination and Identification of GPI-Anchored Proteins

International audience

Building an Ontology of Product/Service-Systems: Using a Maritime Case Study to Elicit Classifications and Characteristics

Part 4: Transition Towards Product-Service Systems

Smart and sustainable public transport systems through improving level and quality of service

Buses are considered a slow, low comfort and low reliability transport system, thus its negative and por image. In the framework of the 3iBS project (2012), several examples of innovative and/or effective solutions regarding the Level of Service (LoS) were analysed aiming to provide operators, practitioners and policy makers with a set of Good Practice Guidelines to strengthen the competitiveness of the bus in the urban environment. The identification of the key indicators regarding vehicles, infrastructure and operation was possible through the analysis of a set of case studies -among which Barcelona (Spain), Cagliari (Italy), London (United Kingdom), Paris and Nantes (France). A cross comparison between the case studies was carried out for contrasting the level of achievement of the different criteria considered. The information provided on Regulatory, Financial and Technical issues allows the identification of a number of specific factors influencing the implementation of a high quality transport scheme, and set the basis for the elaboration of a set of Guidelines for the implementation of an intelligent, innovative and integrated bus system, including the main barriers to be tackled.

Service use in children aged 6-8 years with attention deficit hyperactivity disorder

OBJECTIVE: This study investigated prevalence, types and predictors of professional service use in families of children identified with attention deficit hyperactivity disorder (ADHD) in the community.

DESIGN: SETTING: children with ADHD were identified through 43 schools using parent and teacher screening questionnaires (Conners 3 ADHD Index) followed by case confirmation using the Diagnostic Interview Schedule for Children Version IV. Parents completed a survey about professional service use in the last 12 months.

MAIN OUTCOME MEASURES: data on variables potentially associated with service use were collected from parents (interview and questionnaires), teachers (questionnaires) and children (direct assessment). Logistic regression was used to examine predictors of service use in univariate and multivariable analyses.

RESULTS: The sample comprised 179 children aged 6-8 years with ADHD. Over one-third (37%) had not received professional services in the last 12 months. The strongest predictors of service use were older child age (adjusted OR=3.0, 95% CI 1.0 to 8.9, p=0.05), and the degree to which the child's behaviour impacted on the family (adjusted OR=2.0, 95% CI 1.3 to 3.3, p=0.007), after controlling for ADHD subtype and severity, externalising comorbidities, academic achievement and parent-reported impairment.

CONCLUSIONS: A substantial proportion of children with ADHD are not accessing professional services. Our findings suggest that the child's age and the impact of the child's behaviour on the family are the strongest predictors of service use. Given the demonstrated benefits from various interventions in ADHD, there is a need to improve case identification and referral for services.

Health extension workers' and mothers' attitudes to maternal health service utilization and acceptance in Adwa Woreda, Tigray Region, Ethiopia.

BACKGROUND: The maternal health system in Ethiopia links health posts in rural communities (kebeles) with district (woreda) health centres, and health centres with primary hospitals. At each health post two Health Extension Workers (HEWs) assist women with birth preparedness, complication readiness, and mobilize communities to facilitate timely referral to mid-level service providers. This study explored HEWs' and mother's attitudes to maternal health services in Adwa Woreda, Tigray Region. METHODS: In this qualitative study, we trained 16 HEWs to interview 45 women to gain a better understanding of the social context of maternal health related behaviours. Themes included barriers to health services; women's social status and mobility; and women's perceptions of skilled birth attendant's care. All data were analyzed thematically. FINDINGS: There have been substantial efforts to improve maternal health and reduce maternal mortality in Adwa Woreda. Women identified barriers to healthcare including distance and lack of transportation due to geographical factors; the absence of many husbands due to off-woreda farming; traditional factors such as zwar (some pregnant women are afraid of meeting other pregnant women), and discouragement from mothers and mothers-in-law who delivered their children at home. Some women experienced disrespectful care at the hospital. Facilitators to skilled birth attendance included: identification of pregnant women through Women's Development Groups (WDGs), and referral by ambulance to health facilities either before a woman's Expected Due Date (EDD) or if labour started at home. CONCLUSION: With the support of WDGs, HEWs have increased the rate of skilled birth attendance by calling ambulances to transfer women to health centres either before their EDD or when labour starts at home. These findings add to the growing body of evidence that health workers at the community level can work with women's groups to improve maternal health, thus reducing the need for emergency obstetric care in low-income countries.

Texture for Script identification

The problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation that text has a distinct visual texture. An experimental evaluation of a number of commonly used texture features is conducted on a newly created script database, providing a qualitative measure of which features are most appropriate for this task. Strategies for improving classification results in situations with limited training data and multiple font types are also proposed.

Toward Self-Organising Service Communities

This paper discusses a framework in which catalog service communities are built, linked for interaction, and constantly monitored and adapted over time. A catalog service community (represented as a peer node in a peer-to-peer network) in our system can be viewed as domain specific data integration mediators representing the domain knowledge and the registry information. The query routing among communities is performed to identify a set of data sources that are relevant to answering a given query. The system monitors the interactions between the communities to discover patterns that may lead to restructuring of the network (e.g., irrelevant peers removed, new relationships created, etc.).