La culture matérielle de l’Auguste (1761) et le rapatriement de l’élite coloniale au sein de l’État moderne.

Ce mémoire porte sur l’étude de la culture matérielle de l’Auguste, un navire de cartel ayant fait naufrage en 1761 au nord-est de l’île du Cap-Breton, en Nouvelle-Écosse. La date de 1759 marque la conquête de la Nouvelle-France par l’Angleterre. La France perd donc un important territoire. À la suite de la capitulation de Montréal en 1760, un Régime militaire temporaire anglais est mis en place et entraîne le départ de plusieurs membres des classes dirigeantes de la colonie vers la France. Leur rapatriement est effectué au moyen de navires de cartel, c’est-à-dire des vaisseaux voyageant sous drapeau blanc et transportant des « prisonniers », leur famille et leurs avoirs. L’Auguste, un navire marchand d’appartenance britannique, est réquisitionné à Québec comme navire de cartel à l’automne 1761. Un mois après son départ, le navire s’échoue dans la baie d’Aspy et fait naufrage en emportant à la mort la majorité des passagers. Plus de deux siècles après ces événements tragiques, un partenariat entre Parcs Canada et des plongeurs locaux a mené à la réalisation de deux campagnes de fouilles archéologiques à la fin des années 1970 mettant au jour une collection de plus de quatre mille artefacts. L’analyse de cette culture matérielle comprend notamment la mise en contexte de l’histoire et de la découverte du navire et un classement des artefacts selon des catégories fonctionnelles liées à l’archéologie maritime. Les différents niveaux analytiques mènent ultimement à l’intégration des données archéologiques dans la compréhension du rapatriement des élites au sein de l’État moderne et à l’établissement de liens intéressants entre les familles nanties de la colonie et certains artisans de Nouvelle-France. L’étude de l’Auguste a finalement permis de mettre en lumière la fonction de cartel du navire et d’établir et l’organisation maritime d’un voyage transatlantique pour le transport de passagers.

Management of Traffic Control — A Computer Oriented Approach

Traffic Management system (TMS) comprises four major sub systems: The Network Database Management system for information to the passengers, Transit Facility Management System for service, planning, and scheduling vehicle and crews, Congestion Management System for traffic forecasting and planning, Safety Management System concerned with safety aspects of passengers and Environment. This work has opened a rather wide frame work of model structures for application on traffic. The facets of these theories are so wide that it seems impossible to present all necessary models in this work. However it could be deduced from the study that the best Traffic Management System is that whichis realistic in all aspects is easy to understand is easy to apply As it is practically difficult to device an ideal fool—proof model, the attempt here has been to make some progress-in that direction.

Confianza inversionista; inversión extranjera directa en Colombia. Sector infraestructura de transporte periodo 2002 - 2010

Teniendo en cuenta la importancia de la infraestructura de transporte en el desarrollo económico, ya que de esta depende el intercambio de bienes y servicios dentro y fuera del país, y dado el entorno de globalización de mercados, se hace relevante hacer un diagnóstico de la evolución de la inversión en infraestructura de transportes en Colombia durante los últimos años. El análisis de la actividad de transporte dentro del Producto Interno Bruto Nacional a lo largo del periodo 2002 - 2010, muestra un aporte importante al mismo, confirmando así la relevancia que tiene el sector de transporte en la economía del país. El modo de transporte que cobra más importancia es el transporte por carreteras pues es el medio más utilizado en Colombia, tanto para mercancías como para pasajeros, por lo cual se enfatiza en la inversión y evolución de la infraestructura vial. En este contexto se presenta un estudio de la legislación del sector, los principales proyectos ejecutados durante la última década, los objetivos propuestos por cada uno de estos y el estado actual de los mismos.

Lugar de Pasajeros.

This article analyzes the public transportation of passengers in Bogota as an experience in Vich social, politic, esthetic, and moral relations interfere and participe when moulding the passengers’ behavior in order to adequate it to urban space and movement.

Modelo de recolección de residuos sólidos botellas plásticas y latas utilizando como aliado el sistema de transporte masivo en Bogotá

En las grandes ciudades, la disposición de residuos se ha convertido en un problema ambiental de magnitud mundial con impacto negativo por el manejo inadecuado de los residuos sólidos diarios. El propósito es utilizar el sistema de transporte publico de Bogotá (Transmilenio) como punto de recolección de botellas plásticas y latas, para crear un proyecto de responsabilidad ambiental el cual tendrá resultados positivos a nivel cultural, social, y a largo plazo, financieramente. A través del estudio de diferentes propuestas tanto locales como internacionales, fueron identificados los principales factores de éxito de estos proyectos los cuales se incluyeron para adecuar la presente propuesta para la ciudad de Bogotá teniendo en cuenta sus actuales condiciones. Después de identificar las características requeridas para Bogotá, se realizó un estudio demográfico para poder saber cuántos ciudadanos estarían dispuestos a participar. Como resultado, muchos pasajeros de Transmilenio esperan una retribución económica en el costo del pasaje del sistema. La prueba piloto se diseñó de acuerdo con la cantidad de envases recolectados, incluyendo el tipo de vehículos, como también la cantidad de personas y maquinas necesarias para el éxito del proyecto. Con la propuesta del proyecto completa, se realiza una evaluación financiera y económica para identificar los costos y gastos. La conclusión final de esta propuesta es que el modelo propuesto puede ser aplicado en Bogotá dadas sus características. Los beneficios sociales y ambientales también se destacan, como también el cambio cultural por parte de los ciudadanos hacia las prácticas ecológicas.

Antecedentes de la lealtad en los entornos on line y off line: un análisis empírico aplicado al sector de la aviación civil

El objetivo de esta investigación es analizar la lealtad de los usuarios de líneas aéreas tanto en el entorno online como en el entorno offline. La revisión bibliográfica ha identificado tres antecedentes: la satisfacción, la confianza y el valor percibido. Se ha llevado a cabo un estudio empírico realizándose un total de 1710 entrevistas personales en el aeropuerto del Prat (Barcelona) a usuarios de dos compañías aéreas tradicionales, Iberia y British Airways, y a una compañía low cost, Easyjet. Se trata de las tres compañías que operan con vuelos directos Barcelona-Londres. En el análisis de los datos se han utilizado modelos de ecuaciones estructurales y en particular la técnica utilizada fue el análisis factorial confirmatorio. Los resultados revelan que tanto la satisfacción, como la confianza y el valor percibido explican las relaciones de lealtad entre los pasajeros y las compañías aéreas.

The low cost phenomenonÂ

LCC Market Development - In 1996 low cost airlines (LCCs) accounted for only 1.4% of intra-European Union capacity. By the end of 2002, low cost airlines had captured 12% of all intra-EU capacity - Currently LCCs have a 30% market share of scheduled European point-to-point passengers. According to AEA forecasts, the LC market is expected to increase to 43% of European traffic by 2011. - In 2006 140 million passengers were carried by LCCs. - Low-fare airlines have increased their presence from 13% of city pairs in 2003 to 26% in 2007. 96% of new city-pairs between 2005 and 2007 were added by LCCs. - The United Kingdom still sees the highest number of low-cost flights, followed by Spain, which has been making up a lot of ground over the last year. This is followed by Italy and Germany with slightly fewer flights. These four countries contribute to roughly three quarters of low-cost departures. France is fifth in this list with only 5% of LC flights. - easyJet and Ryanair continue to be the biggest players in the European LCC market accounting for about 40% of all LCC capacity. The top two are followed by Airberlin, which contributes another 10% leaving three carriers in control of half the European low-cost market.

Dubai International Airport a historical voyage

Dubai International Airport... a historical voyage - Opened on September 30, 1960 - 1,800 meters of compacted runway - Capacity to handle aircraft the size up to DC-3 - Handled 10,000 passengers and 772 scheduled flights

Consumer willingness to pay for in-flight service and comfort levels: A choice experiment

In the competitive aviation market as a result of the emergence of low cost carriers, charter airlines have had to reconsider their approach to service provision. Specifically, the reduction in service and comfort levels offered by the low cost airlines provides charter carriers with an opportunity to differentiate their product based on the quality of the offering. To consider this strategic option we employ an on-line choice experiment to examine consumer choices with respect to the bundle of services on offer when deciding to purchase a flight, With these data we use the Bayesian methods to estimate a mixed logit specification. Our results reveal that in principle passengers are willing to pay a relatively large amount for enhanced service quality. (C) 2008 Elsevier Ltd. All rights reserved.

The SAFEE on-board threat detection system

Under the framework of the European Union Funded SAFEE project(1), this paper gives an overview of a novel monitoring and scene analysis system developed for use onboard aircraft in spatially constrained environments. The techniques discussed herein aim to warn on-board crew about pre-determined indicators of threat intent (such as running or shouting in the cabin), as elicited from industry and security experts. The subject matter experts believe that activities such as these are strong indicators of the beginnings of undesirable chains of events or scenarios, which should not be allowed to develop aboard aircraft. This project aimes to detect these scenarios and provide advice to the crew. These events may involve unruly passengers or be indicative of the precursors to terrorist threats. With a state of the art tracking system using homography intersections of motion images, and probability based Petri nets for scene understanding, the SAFEE behavioural analysis system automatically assesses the output from multiple intelligent sensors, and creates. recommendations that are presented to the crew using an integrated airborn user interface. Evaluation of the system is conducted within a full size aircraft mockup, and experimental results are presented, showing that the SAFEE system is well suited to monitoring people in confined environments, and that meaningful and instructive output regarding human actions can be derived from the sensor network within the cabin.

The sky is the limit? The determinants and constraints of European airports' commercial revenues

This study investigates the determinants of commercial and retail airport revenues as well as revenues from real estate operations. Cross-sectional OLS, 2SLS and robust regression models of European airports identify a number of significant drivers of airport revenues. Aviation revenues per passenger are mainly determined by the national income per capita in which the airport is located, the percentage of leisure travelers and the size of the airport proxied by total aviation revenues. Main drivers of commercial revenues per passenger include the total number of passengers passing through the airport, the ratio of commercial to total revenues, the national income, the share of domestic and leisure travelers and the total number of flights. These results are in line with previous findings of a negative influence of business travelers on commercial revenues per passenger. We also find that a high amount of retail space per passenger is generally associated with lower commercial revenues per square meter confirming decreasing marginal revenue effects. Real estate revenues per passenger are positively associated with national income per capita at airport location, share of intra-EU passengers and percent delayed flights. Overall, aviation and non-aviation revenues appear to be strongly interlinked, underlining the potential for a comprehensive airport management strategy above and beyond mere cost minimization of the aviation sector.

Intensification of winter transatlantic aviation turbulence in response to climate change

Atmospheric turbulence causes most weather-related aircraft incidents1. Commercial aircraft encounter moderate-or-greater turbulence tens of thousands of times each year worldwide, injuring probably hundreds of passengers (occasionally fatally), costing airlines tens of millions of dollars and causing structural damage to planes1, 2, 3. Clear-air turbulence is especially difficult to avoid, because it cannot be seen by pilots or detected by satellites or on-board radar4, 5. Clear-air turbulence is linked to atmospheric jet streams6, 7, which are projected to be strengthened by anthropogenic climate change8. However, the response of clear-air turbulence to projected climate change has not previously been studied. Here we show using climate model simulations that clear-air turbulence changes significantly within the transatlantic flight corridor when the concentration of carbon dioxide in the atmosphere is doubled. At cruise altitudes within 50–75° N and 10–60° W in winter, most clear-air turbulence measures show a 10–40% increase in the median strength of turbulence and a 40–170% increase in the frequency of occurrence of moderate-or-greater turbulence. Our results suggest that climate change will lead to bumpier transatlantic flights by the middle of this century. Journey times may lengthen and fuel consumption and emissions may increase. Aviation is partly responsible for changing the climate9, but our findings show for the first time how climate change could affect aviation.

Open Issues in Control ofAutomotive R744 Air-ConditioningSystems

In this thesis, one of the current control algorithms for the R744 cycle, which tries tooptimize the performance of the system by two SISO control loops, is compared to acost-effective system with just one actuator. The operation of a key component of thissystem, a two stage orifice expansion valve is examined in a range of typical climateconditions. One alternative control loop for this system, which has been proposed byBehr group, is also scrutinized.The simulation results affirm the preference of using two control-loops instead of oneloop, but refute advantages of the Behr alternate control approach against one-loopcontrol. As far as the economic considerations of the A/C unit are concerned, usinga two-stage orifice expansion valve is desired by the automotive industry, thus basedon the experiment results, an improved logic for control of this system is proposed.In the second part, it is investigated whether the one-actuator control approach isapplicable to a system consisting of two parallel evaporators to allow passengers tocontrol different climate zones. The simulation results show that in the case of usinga two-stage orifice valve for the front evaporator and a fixed expansion valve forthe rear one, a proper distribution of the cooling power between the front and rearcompartment is possible for a broad range of climate conditions.

MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.

Extended-duration services evaluation: an exploratory study

There is a lack of research and literature concerned with services which are produced and delivered over substantial, sustained time periods. The growing Leisure Air Travel industry has a major component of extended–duration product (long-haul flights). In the existing literature, there is little or no distinction made between leisure and business travellers regarding their motivation and expectations, the duration of the service encounters and the travellers’ evaluation of the service. The authors propose that leisure and business travellers have distinct and differing motives for travelling which affect their service evaluation. The individual consumers’ characteristics, combined with industry conditions and the complex product component, mean that measuring consumer satisfaction, with leisure air travel, in a useful way is problematic. The authors suggest that a major part of the complexity of the product is that leisure air travel is a high-involvement, high-affect, extended service. In June 2000 and February 2001, exploratory research in the form of focus groups conducted using a total of 110 passengers from a United Kingdom leisure airline, revealed several important criteria used by consumers when evaluating service provision. The criteria are grouped into six factors: Hygiene, Service/Empathy, Psychological, Temporal, Personal Characteristics, and Situation Specifics. A new model for examining the relationships between the factors, the
airline and satisfaction evaluation is proposed.