DESIGN OF EFFICIENT IN-NETWORK DATA PROCESSING AND DISSEMINATION FOR VANETS

By providing vehicle-to-vehicle and vehicle-to-infrastructure wireless communications, vehicular ad hoc networks (VANETs), also known as the “networks on wheels”, can greatly enhance traffic safety, traffic efficiency and driving experience for intelligent transportation system (ITS). However, the unique features of VANETs, such as high mobility and uneven distribution of vehicular nodes, impose critical challenges of high efficiency and reliability for the implementation of VANETs. This dissertation is motivated by the great application potentials of VANETs in the design of efficient in-network data processing and dissemination. Considering the significance of message aggregation, data dissemination and data collection, this dissertation research targets at enhancing the traffic safety and traffic efficiency, as well as developing novel commercial applications, based on VANETs, following four aspects: 1) accurate and efficient message aggregation to detect on-road safety relevant events, 2) reliable data dissemination to reliably notify remote vehicles, 3) efficient and reliable spatial data collection from vehicular sensors, and 4) novel promising applications to exploit the commercial potentials of VANETs. Specifically, to enable cooperative detection of safety relevant events on the roads, the structure-less message aggregation (SLMA) scheme is proposed to improve communication efficiency and message accuracy. The scheme of relative position based message dissemination (RPB-MD) is proposed to reliably and efficiently disseminate messages to all intended vehicles in the zone-of-relevance in varying traffic density. Due to numerous vehicular sensor data available based on VANETs, the scheme of compressive sampling based data collection (CS-DC) is proposed to efficiently collect the spatial relevance data in a large scale, especially in the dense traffic. In addition, with novel and efficient solutions proposed for the application specific issues of data dissemination and data collection, several appealing value-added applications for VANETs are developed to exploit the commercial potentials of VANETs, namely general purpose automatic survey (GPAS), VANET-based ambient ad dissemination (VAAD) and VANET based vehicle performance monitoring and analysis (VehicleView). Thus, by improving the efficiency and reliability in in-network data processing and dissemination, including message aggregation, data dissemination and data collection, together with the development of novel promising applications, this dissertation will help push VANETs further to the stage of massive deployment.

An interprofessional approach to improving paediatric medication safety

Safe drug prescribing and administration are essential elements within undergraduate healthcare curricula, but medication errors, especially in paediatric practice, continue to compromise patient safety. In this area of clinical care, collective responsibility, team working and communication between health professionals have been identified as key elements in safe clinical practice. To date, there is limited research evidence as to how best to deliver teaching and learning of these competencies to practitioners of the future.An interprofessional workshop to facilitate learning of knowledge, core competencies, communication and team working skills in paediatric drug prescribing and administration at undergraduate level was developed and evaluated. The practical, ward-based workshop was delivered to 4th year medical and 3rd year nursing students and evaluated using a pre and post workshop questionnaire with open-ended response questions.Following the workshop, students reported an increase in their knowledge and awareness of paediatric medication safety and the causes of medication errors (p < 0.001), with the greatest increase noted among medical students. Highly significant changes in students' attitudes to shared learning were observed, indicating that safe medication practice is learnt more effectively with students from other healthcare disciplines. Qualitative data revealed that students' participation in the workshop improved communication and teamworking skills, and led to greater awareness of the role of other healthcare professionals.This study has helped bridge the knowledge-skills gap, demonstrating how an interprofessional approach to drug prescribing and administration has the potential to improve quality and safety within healthcare.

FDOT District Six Pedestrian Safety Web GIS Application

A group of four applications including Top 20 Pedestrian Crash Locations: This application is designed to display top 20 pedestrian crash locations into both map- view and detailed information view. FDOT Crash Reporting Tool: This application is designed to simplify the usage and sharing of CAR data. The application can load raw data from CAR and display it into a web map interface. FDOT Online Document Portal: This application is designed for FDOT project managers to be able to share and manage documents through a user friendly, GIS enable web interface GIS Data Collection for Pedestrian Safety Tool: FIU-GIS Center was responsible for data collection and processing work for the project of Pedestrian Safety Tool Project. The outcome of this task is present by a simple web-GIS application design to host GIS by projects.

Structural Data Acquisition Using Sensor Network

The development cost of any civil infrastructure is very high; during its life span, the civil structure undergoes a lot of physical loads and environmental effects which damage the structure. Failing to identify this damage at an early stage may result in severe property loss and may become a potential threat to people and the environment. Thus, there is a need to develop effective damage detection techniques to ensure the safety and integrity of the structure. One of the Structural Health Monitoring methods to evaluate a structure is by using statistical analysis. In this study, a civil structure measuring 8 feet in length, 3 feet in diameter, embedded with thermocouple sensors at 4 different levels is analyzed under controlled and variable conditions. With the help of statistical analysis, possible damage to the structure was analyzed. The analysis could detect the structural defects at various levels of the structure.

Development of Safety Performance Functions for SafetyAnalyst Applications in Florida

In 2010, the American Association of State Highway and Transportation Officials (AASHTO) released a safety analysis software system known as SafetyAnalyst. SafetyAnalyst implements the empirical Bayes (EB) method, which requires the use of Safety Performance Functions (SPFs). The system is equipped with a set of national default SPFs, and the software calibrates the default SPFs to represent the agency’s safety performance. However, it is recommended that agencies generate agency-specific SPFs whenever possible. Many investigators support the view that the agency-specific SPFs represent the agency data better than the national default SPFs calibrated to agency data. Furthermore, it is believed that the crash trends in Florida are different from the states whose data were used to develop the national default SPFs. In this dissertation, Florida-specific SPFs were developed using the 2008 Roadway Characteristics Inventory (RCI) data and crash and traffic data from 2007-2010 for both total and fatal and injury (FI) crashes. The data were randomly divided into two sets, one for calibration (70% of the data) and another for validation (30% of the data). The negative binomial (NB) model was used to develop the Florida-specific SPFs for each of the subtypes of roadway segments, intersections and ramps, using the calibration data. Statistical goodness-of-fit tests were performed on the calibrated models, which were then validated using the validation data set. The results were compared in order to assess the transferability of the Florida-specific SPF models. The default SafetyAnalyst SPFs were calibrated to Florida data by adjusting the national default SPFs with local calibration factors. The performance of the Florida-specific SPFs and SafetyAnalyst default SPFs calibrated to Florida data were then compared using a number of methods, including visual plots and statistical goodness-of-fit tests. The plots of SPFs against the observed crash data were used to compare the prediction performance of the two models. Three goodness-of-fit tests, represented by the mean absolute deviance (MAD), the mean square prediction error (MSPE), and Freeman-Tukey R2 (R2FT), were also used for comparison in order to identify the better-fitting model. The results showed that Florida-specific SPFs yielded better prediction performance than the national default SPFs calibrated to Florida data. The performance of Florida-specific SPFs was further compared with that of the full SPFs, which include both traffic and geometric variables, in two major applications of SPFs, i.e., crash prediction and identification of high crash locations. The results showed that both SPF models yielded very similar performance in both applications. These empirical results support the use of the flow-only SPF models adopted in SafetyAnalyst, which require much less effort to develop compared to full SPFs.

NEIGHBORHOOD PERCEPTION OF SAFETY AND THE MOBILITY GAP BETWEEN MEN AND WOMEN IN OLD AGE

Thesis (Master, Community Health & Epidemiology) -- Queen's University, 2016-10-02 21:02:07.735

Safety guidelines for group fitness to music

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Iowa Seat Belt Use Survey 2013 Data Collection Methodology Report, September 26, 2013

In an effort to achieve greater consistency and comparability in state-wide seat belt use reporting, the National Highway Traffic Safety Administration (NHTSA) issued new requirements in 2011 for observing and reporting future seat belt use. The requirements included the involvement of a qualified statistician in the sampling and weighting portions of the process as well as a variety of operational details. The Iowa Governor’s Traffic Safety Bureau contracted with Iowa State University’s Survey & Behavioral Research Services (SBRS) in 2011 to develop the study design and data collection plan for the State of Iowa annual survey that would meet the new requirements of the NHTSA. A seat belt survey plan for Iowa was developed by SBRS with statistical expertise provided by Zhengyuan Zhu, Ph.D., Associate Professor of Statistics at Iowa State University and was approved by NHTSA on March 19, 2012.

Iowa Seat Belt Use Survey 2014 Data Collection Methodology Report, September 25, 2014

In an effort to achieve greater consistency and comparability in state-wide seat belt use reporting, the National Highway Traffic Safety Administration (NHTSA) issued new requirements in 2011 for observing and reporting future seat belt use. The requirements included the involvement of a qualified statistician in the sampling and weighting portions of the process as well as a variety of operational details. The Iowa Governor’s Traffic Safety Bureau contracted with Iowa State University’s Survey & Behavioral Research Services (SBRS) in 2011 to develop the study design and data collection plan for the State of Iowa annual survey that would meet the new requirements of the NHTSA. A seat belt survey plan for Iowa was developed by SBRS with statistical expertise provided by Zhengyuan Zhu, Ph.D., Associate Professor of Statistics at Iowa State University and was approved by NHTSA on March 19, 2012.

Iowa Seat Belt Use Survey 2015 Data Collection Methodology Report, September 9, 2015

In an effort to achieve greater consistency and comparability in state-wide seat belt use reporting, the National Highway Traffic Safety Administration (NHTSA) issued new requirements in 2011 for observing and reporting future seat belt use. The requirements included the involvement of a qualified statistician in the sampling and weighting portions of the process as well as a variety of operational details. The Iowa Governor’s Traffic Safety Bureau contracted with Iowa State University’s Survey & Behavioral Research Services (SBRS) in 2011 to develop the study design and data collection plan for the State of Iowa annual survey that would meet the new requirements of the NHTSA. A seat belt survey plan for Iowa was developed by SBRS with statistical expertise provided by Zhengyuan Zhu, Ph.D., Associate Professor of Statistics at Iowa State University and Director of the Center for Survey Statistics and Methodology. The plan was approved by NHTSA on March 19, 2012.

Evaluación de las causas de los eventos adversos o incidentes que afectan la seguridad del paciente, en el hospital central de la policía de enero 2012 a diciembre 2013

TITULO DEL TRABAJO: Evaluación de las causas de los eventos adversos o incidentes que afectan la seguridad del paciente, en el hospital central de la policía de enero 2012 a diciembre 2013. OBJETIVO: Determinar y analizar la causa raíz de los principales factores de riesgo que afectan la seguridad del paciente que puedan ocasionar eventos adversos en la atención de los pacientes, con el uso de la teoría de restricciones TOC en el Hospital Central de la Policía HOCEN. MATERIALES Y METODO: Se realizó una investigación descriptiva de naturaleza mixta – cuantitativa de tipo correlacional, la población es la totalidad de pacientes atendidos en el hospital de la policía entre enero de 2012 a diciembre de 2013, en el cual se presentaron un total de 189 eventos adversos los cuales sirvieron de objeto a esta investigación, la recolección de datos se realizó por medio de tablas de Excel 2010, posterior a esto se exporto la información al software de IBM SPSS Statistics 19 donde se analiza la información arrojando datos descriptivos y tablas de frecuencia. Finalmente haciendo uso de la Teoría de restricciones TOC se identificó la causa raíz para la ocurrencia de eventos adversos y plantear una intervención estratégica que promueva un sistema efectivo de seguridad del paciente en pro de la búsqueda de la mejora continua. RESULTADOS: Se analizaron 189 eventos adversos, de los cuales 89 fueron reportados en el turno de la noche, seguido por el turno de la mañana con 57, el turno tarde con 27, 28 eventos que no registraron horario, el servicio con mayor ocurrencia es el de medicina interna con 25 eventos, y finalmente la caída de pacientes, lo relacionado con medicamentos, nutriciones y accesos vasculares son los eventos con mayor incidencia. CONCLUSIONES: Se pudo concluir que es necesario que los procesos de seguridad del paciente deben tener un lineamiento directo desde la dirección de la organización permitiendo que las mejoras sean de inmediata aplicación, también es importante generar en el personal una actitud de compromiso frente al proceso de mejora, hay que redefinir las políticas institucionales ya que se concluyó por medio de la teoría de restricciones TOC que el principal factor para la ocurrencia de eventos adversos son las multitareas que el personal tiene que realizar en el proceso de atención.

Síntomas y factores ergonómicos asociados con trastornos musculoesqueléticos (TME) en una población de trabajadores administrativos de una empresa de servicios, 2015

Introducción. Los Trastornos Musculoesqueléticos (TME) son lesiones de músculos, tendones, nervios y articulaciones que tienen como principal síntoma el dolor y se presentan con gran frecuencia en trabajos que requieren una actividad física importante o como consecuencia de malas posturas sostenidas durante largos periodos de tiempo. Objetivo: Determinar la prevalencia de síntomas osteomusculares y su asociación con factores ergonómicos en una población de trabajadores administrativos de una empresa de servicios en Bogotá, Colombia, en el año 2015. Método: Se realizó un estudio de corte transversal. Se analizaron datos secundarios correspondientes a una base de datos de una población de 450 trabajadores pertenecientes al área administrativa de una empresa de servicios, de los cuales se incluyeron 150 registros que tenían la información completa de las variables del estudio. Se tuvieron en cuenta variables sociodemográficas, ocupacionales y la presencia de síntomas osteomusculares. Incluyó también el registro de condiciones de la estación de trabajo recolectada mediante inspecciones de puestos de trabajo (registro fotográfico y formato estandarizado para condiciones observadas). Se realizó un análisis descriptivo considerando las medidas de tendencia central para las variables cuantitativas y distribución de frecuencias para las variables cualitativas. Resultados: Predominó el género femenino (56%) dentro de la población estudiada, con una edad media para ambos géneros de 35 años (75%), (DS ± 7.0). El síntoma más frecuentemente reportado fue el dolor en cuello (17%) seguido por dolor en muñeca (11%) y dolor lumbar (8.7%). Del total de los trabajadores evaluados, el 80% correspondió al cargo ejecutivo, que reúne funciones administrativas especializadas complejas y/o de supervisión directa. De la población femenina objeto de estudio el 76% se desempeñaban en el cargo ejecutivo. Las condiciones ergonómicas por mejorar de mayor frecuencia fueron altura y distancia de la pantalla (42%) y cables sueltos (30%). La frecuencia de síntomas fue más alta en el rango de edad de 31 a 45 años. Conclusiones: En este estudio se encontró que los síntomas osteomusculares más frecuentes se ubicaron en el segmento axial (cuello y región lumbar) y en mano y que las condiciones de altura y distancia de la pantalla y cables sueltos presentaron las frecuencias más altas de condiciones por mejorar. Se hace necesaria la implementación de programas de prevención de TME, la vigilancia de casos y la intervención de las condiciones de los puestos de trabajo. Se debe promover la identificación y promoción de conductas saludables dentro del ámbito laboral y la prevención de condiciones que favorezcan la aparición del riesgo biomecánico.

Ultra-Low Temperature Partial Oxidation: Detailed Kinetics, Safety, and Environmental Issues

The innovation in several industrial sectors has been recently characterized by the need for reducing the operative temperature either for economic or environmental related aspects. Promising technological solutions require the acquisition of fundamental-based knowledge to produce safe and robust systems. In this sense, reactive systems often represent the bottleneck. For these reasons, this work was focused on the integration of chemical (i.e., detailed kinetic mechanism) and physical (i.e., computational fluid dynamics) models. A theoretical-based kinetic mechanism mimicking the behaviour of oxygenated fuels and their intermediates under oxidative conditions in a wide range of temperature and pressure was developed. Its validity was tested against experimental data collected in this work by using the heat flux burner, as well as measurements retrieved from the current literature. Besides, estimations deriving from existing models considered as the benchmark in the combustion field were compared with the newly generated mechanism. The latter was found to be the most accurate for the investigated conditions and fuels. Most influential species and reactions on the combustion of butyl acetate were identified. The corresponding thermodynamic parameter and rate coefficients were quantified through ab initio calculations. A reduced detailed kinetic mechanism was produced and implemented in an open-source computational fluid dynamics model to characterize pool fires caused by the accidental release of aviation fuel and liquefied natural gas, at first. Eventually, partial oxidation processes involving light alkenes were optimized following the quick, fair, and smoot (QFS) paradigm. The proposed procedure represents a comprehensive and multidisciplinary approach for the construction and validation of accurate models, allowing for the characterization of developing industrial sectors and techniques.

In vitro application of biocontrol agents to improve the safety and quality of grapevine products

Pathogenic fungi are responsible for vine diseases affecting the grapevine yield and the organoleptic quality of the final wine products. Using of biocontrol agents can represent a sustainable alternative to the use of synthetic fungicides whose intense use can have negative effects on the ecosystem and cause increase resistant pathogen population to synthetic agents. The principal aim of my PhD thesis was the isolation and characterization of new yeast strains and Bacillus subtilis SV108 as biocontrol agent and the comprehension of the mechanism of their antimicrobial action. Accordingly, twenty wild yeast and one selected bacterium isolated among 62 samples, isolated from different Italian and Malaysian regions and molecularly identified, were evaluated in a preliminary screening test on agar. Results showed the highest effects on inhibiting mycelial growth by Starmerella bacillaris FE08.05, Metschnikowia pulcherrima GP8 and Hanseniaspora uvarum GM19. On the other side, Bacillus subtilis SV108 showed the ability of inhibit the mycelial growth of selected fungi by producing antimicrobial compounds on Malt Extract Broth medium recovered by sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) and identified by electrospray ionization (ESI) tandem mass spectrometer Triple TOF 5600. Moreover, in order to analyze the volatile fraction of compounds, the quantitative analysis of the VOCs profiles was performed by GC/MS/SPME. The analysis highlighted the presence of isoamyl and phenylethyl alcohols and an overall higher presence of low-chain fatty acids and volatile ethyl esters. All the data collected suggest that the tested yeasts, found among the epiphytic microbiota associated with grape berries, can be potentially effective for the biological control of pathogenic moulds. On the other hand, the proteomic study conducted on B. subtilis SV108 revealed that there are two cyclic antifungal peptides which can explain the antimicrobial effect of Bacillus subtilis SV108 acting as biocontrol agent against fungal pathogens in grapevine.

Risk assessment to improve food safety along different food chains

The great challenges of today pose great pressure on the food chain to provide safe and nutritious food that meets regulations and consumer health standards. In this context, Risk Analysis is used to produce an estimate of the risks to human health and to identify and implement effective risk-control measures. The aims of this work were 1) describe how QRA is used to evaluate the risk for consumers health, 2) address the methodology to obtain models to apply in QMRA; 3) evaluate solutions to mitigate the risk. The application of a QCRA to the Italian milk industry enabled the assessment of Aflatoxin M1 exposure, impact on different population categories, and comparison of risk-mitigation strategies. The results highlighted the most sensitive population categories, and how more stringent sampling plans reduced risk. The application of a QMRA to Spanish fresh cheeses evidenced how the contamination of this product with Listeria monocytogenes may generate a risk for the consumers. Two risk-mitigation actions were evaluated, i.e. reducing shelf life and domestic refrigerator temperature, both resulting effective in reducing the risk of listeriosis. A description of the most applied protocols for data generation for predictive model development, was provided to increase transparency and reproducibility and to provide the means to better QMRA. The development of a linear regression model describing the fate of Salmonella spp. in Italian salami during the production process and HPP was described. Alkaline electrolyzed water was evaluated for its potential use to reduce microbial loads on working surfaces, with results showing its effectiveness. This work showed the relevance of QRA, of predictive microbiology, and of new technologies to ensure food safety on a more integrated way. Filling of data gaps, the development of better models and the inclusion of new risk-mitigation strategies may lead to improvements in the presented QRAs.