Quantifying the Computation Power and Transaction Latency of Pool Mining in Cryptocurrency Networks

In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together […]

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System-Level Performance Analysis of Shared Relaying Architecture withRealistic Channel Modeling

Future wireless networks call for seamless coverage and higher data rates at low infrastructure cost. Cooperative relaying strategies are among the most promising of future technological solutions toward achieving this goal. The proposed research project intends to evaluate the system-level performance of a specific relaying architecture called the shared relaying network. To quantify the benefit […]

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Model-Based Detection of Emergent Behavior in Distributed Systems usingan ontology-based approach

Lack of central control makes the design of distributed software systems a challenging task because of possible unwanted behavior at runtime, commonly known as emergent behavior. In fact many faults are introduced into the system at this stage of the software development life cycle. Therefore discovering and removing design validation of distributed software systems prior […]

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Cycle de sondage de l’engagement chez Videotron: Comment soutenir les gestionnaires pour passer à l’action avec leurs équipes?

Le mandat sera: o D’analyser les données d’engagement (sondages et actions entreprises par les gestionnaires quant à l’engagement de leurs employés) o De rencontrer des gestionnaires pour identifier et comprendre les freins, défis et enjeux auxquels ils font face, ainsi que leur point de vue quant au passage à l’action et le suivi en continu. […]

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A digital technology platform for supply chain: Development of scenario planning and forecasting models and tool for the engine build program to assess the impact of variations in sales forecast on inventory planning

Industry 4.0 is the digitization of a company’s physical assets and the company’s integration into digital ecosystems with its value chain partners, from suppliers to customers. It uses smart technology and the use of real-time data to increase flexibility, customization, efficiency and productivity, and to reduce time, costs and innovation cycles. This project will focus […]

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The land should lead us: Acknowledging community viability to practice Indigenous health sovereignty in northern Manitoba

In Canada while health disparities in Indigenous communities are getting much attention and Indigenous peoples are determining the path to healing using land based knowledge, the approach to health is still holding the reductionist and paternalistic global health philanthropy with the idea of the poor, traditional societies in need of charity and technology for better […]

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The land should lead us: Acknowledging community viability to practice Indigenous health sovereignty in northern Manitoba – Year two

In Canada while health disparities in Indigenous communities are getting much attention and Indigenous peoples are determining the path to healing using land based knowledge, the approach to health is still holding the reductionist and paternalistic global health philanthropy with the idea of the poor, traditional societies in need of charity and technology for better […]

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Les enjeux éthiques et juridiques en intelligence artificielle appliquée à la santé

De nombreuses questions éthiques, juridiques et de politique publique en matière de régulation se posent dans le domaine de l’intelligence artificielle et restent encore sans réponse, celles qui nous intéressent s’énoncent dans le domaine de la santé mentale. En effet, la création des machines d’apprentissage se fait par l’entrée de données massives traduites en algorithme […]

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Securing Enterprises with Social Network Analysis

Computer administrators defend enterprises using tools that do not scale to the size of modem networks. As a result, malicious behavior in enterprise networks generally is W1detected, even when attackers do not attempt to be stealthy. One way to improve this situation may be through the application of social network analysis to the computer sectrrity […]

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