154 research outputs found
L’acte de mariage du sculpteur Louis Jobin : solution de l’énigme
No full textDans le cadre d’une longue recherche généalogique, portant sur des familles Jobin de la région de Portneuf et de L’Ancienne-Lorette, l’auteur a consacré une partie de son étude au statuaire Louis Jobin, à ses origines et à sa famille. Cette note de recherche raconte comment, à force de détermination, l’acte de mariage de ce fameux personnage, qu’on n’espérait plus trouver, a finalement été découvert aux États-Unis. Vérifiant les données des travaux savants de ses prédécesseurs, l’auteur reprend le travail depuis le début, consultant les actes originaux et autres sources, interrogeant en outre les héritiers, en quête des moindres indices.In the course of a detailed genealogical research centred on the Jobin families from Portneuf and L’Ancienne-Lorette, the author dedicated a portion of her study to sculptor Louis Jobin, his origins and his family. This article tells the story of how her research in the United States finally uncovered the marriage certificate of this well-known person, a document which most thought would never be found. After verifying the scholarly work of her predecessors, the author conducted her investigation in search of the smallest details. She interviewed Jobin’s heirs and consulted many original documents
Carmen. Otteita
No full textÄänitetty radiosta.Esittäjätiedot radiokuulutuksesta.[Risë Stevens (mezzosopraano, Carmen), Nadine Conner (sopraano, Micaela), Raoul Jobin (tenori, Don Jose), Robert Weede (baritoni, Escamillo), Metropolitan Opera chorus and orchestra, Georges Sebastian (johtaja)].Esityskieli: ranska.Digitoitu 26.7.2011
L’affaire Allstate et La Royale : La notion d’événement et les obligations des assureurs excédentaires, une solution propre au droit québécois
No full textMrs. Jobin-Laberge is a well-known author and legal
practitioner. We are pleased to publish the speech she gave in
Montréal on November 10, 1994, at a seminar organized by Les
Éditions Yvon Blais Inc. Mrs. Jobin-Laberge comments on the
recent Quebec Superior Court decision, by way of a Motion for a
Declaratory Judgment, in the Allstate of Canada v. Royal
lnsurance case. This is the first Quebec decision involving serial
damages over a long period of time and the determination of the
respective obligations of insurers, as primary and excess liability
underwriters. While this issue has generared a considerable flow
of American and European decisions, the "multiple trigger
theory" had until now been untouched in Quebec. The Court
studied the American decisions with caution and reserve in a
Canadian context. The primary policy in force for the one-year
period from December 31, 1979 to December 31, 1980 was
found to be the sole primary policy engaging the responsibility of
the insurer. Consequently, the applicable excess policy is the one
issued for the period from April 30, 1980 to April 30, 1981
Data Democratisation in the Realm of Digital Transformation : Organisational Approach towards Data Democratisation
No full textThe thesis shed light into the connectivity between the Organization and Employees in terms of their acceptance and contribution towards Digital Transformation initiatives through the different elements of Data Democratisation. The study identifies Six key elements of Data Democratisation and how these elements are incorporated to successfully steer Digital Transformation in the organization. The six elements are Data Governance, Data Accessibility, Data Literacy, Data Culture, Data Security and Technology. A combination of Surveys and Literature Review are used to build a foundation for the research. The Democratised tools, Google Forms, Google Analytics and Power-BI are the data analysis methodologies to populate the study results. The results contribute to the organisations, seeking to optimize their Digital Transformation initiatives through Data-Driven methods over traditional Information Technology. Keywords: Data Democratisation, Digital Transformation, Data Democratization, Elements of Data Democratisation
Data Democratisation in the Realm of Digital Transformation : Organisational Approach towards Data Democratisation
No full textThe thesis shed light into the connectivity between the Organization and Employees in terms of their acceptance and contribution towards Digital Transformation initiatives through the different elements of Data Democratisation. The study identifies Six key elements of Data Democratisation and how these elements are incorporated to successfully steer Digital Transformation in the organization. The six elements are Data Governance, Data Accessibility, Data Literacy, Data Culture, Data Security and Technology. A combination of Surveys and Literature Review are used to build a foundation for the research. The Democratised tools, Google Forms, Google Analytics and Power-BI are the data analysis methodologies to populate the study results. The results contribute to the organisations, seeking to optimize their Digital Transformation initiatives through Data-Driven methods over traditional Information Technology. Keywords: Data Democratisation, Digital Transformation, Data Democratization, Elements of Data Democratisation
Analysis of Transient and Steady State Vehicle Handling with Torque Vectoring
No full textAdvanced Driver Assistance Systems (ADAS) and Autonomous Ground Vehicles (AGV) have the potential to increase road transportation safety, environmental gains, and passenger comfort. The advent of Electric Vehicles has also facilitated greater flexibility in powertrain architectures and control capabilities. Path Tracking controllers that provide steering input are used to execute lateral maneuvers or model the response of a vehicle during cornering. Direct Yaw Control using Torque Vectoring has the potential to improve vehicle's transient cornering stability and modify its steady state handling characteristics during lateral maneuvers.
In the first part of this thesis, the transient dynamics of an existing baseline Path Tracking controller is improved using a transient Torque Vectoring algorithm. The existing baseline Path Tracking controller is evaluated, using a linearized system, for a range of vehicle and controller parameters. The effect of implementing transient Torque Vectoring along with the baseline Path Tracking controller is then studied for the same parameter range. The linear analysis shows, in both time and frequency domain, that the transient Torque Vectoring improves vehicle response and stability during cornering. A Torque Vectoring controller is developed in Linear Adaptive Model Predictive Control framework and it's performance is verified in simulation using Simulink and CarSim. The second part of the thesis analyzes the tradeoff enabled by steady state Torque Vectoring between improved limit handling capability through optimal tire force allocation and drivability demonstrated by understeer gradient. Optimal tire force allocation prescribes equal usage in all four tires during maneuvers. This is enabled using steering and Torque Vectoring. An analytical proof is presented which demonstrates that implementation of this optimal tire force allocation results in neutralsteering handling characteristics for the vehicle. The optimal tire force allocation strategy is formulated as a minimax optimization problem. A two-track vehicle model is simulated for this strategy, and it verified the analytical proof by displaying neutralsteering behavior.Master of ScienceAdvanced Driver Assistance Systems (ADAS) and Autonomous Ground Vehicles (AGVs) have the potential to increase road transportation safety, environmental gains, passenger comfort and passenger productivity. The advent of Electric Vehicles (EVs) has also facilitated greater flexibility in powertrain configurations and capabilities that facilitate the implementation of Torque Vectoring (TV), which is a method of applying differential torques to laterally opposite wheels to enhance the cornering performance of ground vehicles. Path Tracking (PT) controllers that provide steering input to the vehicles are traditionally used for lateral control in AGVs and ADAS features. The goal of this thesis is to develop Torque Vectoring algorithms to improve a vehicle's stability and shape its steady state behaviour through a corner during low lateral acceleration maneuvers. An existing baseline Path Tracking controller is selected and evaluated. The effect of implementing Torque Vectoring along with this Path Tracking controller is studied and it is found to improve the stability of the vehicle during cornering. This is verified in simulation by designing and implementing the Torque Vectoring algorithm. Finally, a Torque Vectoring strategy is proposed to manage the handling of the vehicle during low acceleration cornering
Development of EOG Based Human Machine Interface Control System for Motorized Wheelchair
No full textAbstract Rehabilitation devices are increasingly being used to improve the quality of the life of differentially abled people. Human Machine Interface (HMI) have been studied extensively to control electromechanical rehabilitation aids using biosignals such as EEG, EOG and EMG etc. among the various biosignals, EOG signals have been studied in depth due to the occurrence of a definite signal pattern. Persons suffering from extremely limited peripheral mobility like paraplegia or quadriplegia usually have the ability to coordinate eye movements. The current project focuses on the development of a prototype motor wheelchair controlled by EOG signals. EOG signals were used to generate control signals for the movement of the wheelchair. As a part of this work an EOG signal acquisition system was developed. The acquired EOG signal was then processed to generate various control signals depending upon the amplitude and duration of signal components. These control signals were then used to control the movements of the prototype motorized wheelchair model
Research Trends and Collaboration Patterns in Quantum Internet: A Bibliometric Mapping Using Biblioshiny, VOSviewer, and CiteSpace
No full textIntroductionQuantum Internet has emerged as a transformative technological frontier, attracting increasing global research attention. Its development spans foundational physics, cryptography, network engineering, and applied technologies, demanding systematic evaluation of scholarly progress.
ObjectiveThis study aims to present a comprehensive bibliometric analysis of Quantum Internet research, identifying publication trends, influential contributors, collaborative networks, and evolving thematic directions.
MethodData were retrieved from the Scopus database and analyzed using Biblioshiny, VOSviewer, and CiteSpace. The study examined publication growth, author and journal influence, country-level collaborations, bibliographic coupling, keyword co-occurrence, and thematic evolution.
ResultsFindings indicate steady growth in publications since 2016, peaking in 2024 with 130 documents. Leading contributors include Angela Sara Cacciapuoti, Marcello Caleffi, Laszlo Gyongyosi, and Stephanie Wehner, while prominent publication outlets are Physical Review Letters, Physical Review A, Scientific Reports, and New Journal of Physics. Country-level analysis highlights the United States, China, the United Kingdom, Italy, and Japan as primary research hubs, with strong international collaborations. Network analyses reveal 15 author and 10 journal clusters, underscoring interdisciplinary connections. Bibliographic coupling and keyword co-occurrence identify critical themes such as quantum key distribution, entanglement distribution, quantum memory, blockchain, and cybersecurity, alongside emerging areas like quantum IoT and quantum machine learning. Thematic maps show a shift from theoretical constructs to application-driven studies, integrating artificial intelligence and advanced sensing. Trend analyses confirm growing attention to scalability, security, and interdisciplinary applications, though gaps remain in resource optimization, experimental validation, and integration with classical infrastructures.
ConclusionsThis analysis provides a knowledge framework and practical insights into the intellectual and conceptual structure of Quantum Internet research. By mapping influential contributors, core themes, and research gaps, the study supports academics, policymakers, and industry in making strategic investments and advancing future research in this rapidly evolving field
Research Trends and Collaboration Patterns in Quantum Internet: A Bibliometric Mapping Using Biblioshiny, VOSviewer, and CiteSpace
No full textIntroductionQuantum Internet has emerged as a transformative technological frontier, attracting increasing global research attention. Its development spans foundational physics, cryptography, network engineering, and applied technologies, demanding systematic evaluation of scholarly progress.
ObjectiveThis study aims to present a comprehensive bibliometric analysis of Quantum Internet research, identifying publication trends, influential contributors, collaborative networks, and evolving thematic directions.
MethodData were retrieved from the Scopus database and analyzed using Biblioshiny, VOSviewer, and CiteSpace. The study examined publication growth, author and journal influence, country-level collaborations, bibliographic coupling, keyword co-occurrence, and thematic evolution.
ResultsFindings indicate steady growth in publications since 2016, peaking in 2024 with 130 documents. Leading contributors include Angela Sara Cacciapuoti, Marcello Caleffi, Laszlo Gyongyosi, and Stephanie Wehner, while prominent publication outlets are Physical Review Letters, Physical Review A, Scientific Reports, and New Journal of Physics. Country-level analysis highlights the United States, China, the United Kingdom, Italy, and Japan as primary research hubs, with strong international collaborations. Network analyses reveal 15 author and 10 journal clusters, underscoring interdisciplinary connections. Bibliographic coupling and keyword co-occurrence identify critical themes such as quantum key distribution, entanglement distribution, quantum memory, blockchain, and cybersecurity, alongside emerging areas like quantum IoT and quantum machine learning. Thematic maps show a shift from theoretical constructs to application-driven studies, integrating artificial intelligence and advanced sensing. Trend analyses confirm growing attention to scalability, security, and interdisciplinary applications, though gaps remain in resource optimization, experimental validation, and integration with classical infrastructures.
ConclusionsThis analysis provides a knowledge framework and practical insights into the intellectual and conceptual structure of Quantum Internet research. By mapping influential contributors, core themes, and research gaps, the study supports academics, policymakers, and industry in making strategic investments and advancing future research in this rapidly evolving field
An Investigation of the Resonant and Non-Resonant Angular Time Delay of e-C60 Elastic Scattering
No full textTime delay in electron scattering depends on both the scattering angle θ and scattered electron energy E. A study on the angular time delay of e-C60 elastic scattering was carried out in the present work. We employed the annular square well (ASW) potential to simulate the C60 environment. The contribution from different partial waves to the total angular time delay profile was examined in detail. The investigation was performed for both resonant and non-resonant energies, and salient characteristics in the time delay profile for each case were studied
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