172 research outputs found
The State of Teacher Education in France: A Critique
Pradeep Kumar Misra, The State of Teacher Education in France: A Critique, FMSH-WP-2014-58, january 2014. Pour télécharger ce document sur HALSHS The author Dr. Pradeep Kumar Misra is an Associate Professor in the Faculty of Education and Allied Sciences of M.J.P. Rohilkhand University, Bareilly, India. His research specializations are Teacher Education, Educational Technology and Lifelong Learning. Acknowledgements I am extremely grateful to the Fondation maison des Sciences de l'Homme (FMSH..
The State of Teacher Education in France: A Critique
Pradeep Kumar Misra, The State of Teacher Education in France: A Critique, FMSH-WP-2014-58, january 2014. Pour télécharger ce document sur HALSHS The author Dr. Pradeep Kumar Misra is an Associate Professor in the Faculty of Education and Allied Sciences of M.J.P. Rohilkhand University, Bareilly, India. His research specializations are Teacher Education, Educational Technology and Lifelong Learning. Acknowledgements I am extremely grateful to the Fondation maison des Sciences de l'Homme (FMSH..
An analysis of the marketing strategy of American motors corporation from a local frame of reference, 1969
Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics
Logistics planning is a complex optimization problem involving multiple decision makers. Automated scheduling systems offer support to human planners; however state-of-the-art approaches often employ a centralized control paradigm. While these approaches have shown great value, their application is hindered in dynamic settings with no central authority. Motivated by real-world scenarios, we present a decentralized approach to collaborative multi-agent scheduling by casting the problem as a Distributed Constraint Optimization Problem (DCOP). Our model-based heuristic approach uses message passing with a novel pruning technique to allow agents to cooperate on mutual agreement, leading to a near-optimal solution while offering low computational costs and flexibility in case of disruptions. Performance is evaluated in three real-world field trials with a logistics carrier and compared against a centralized model-free Deep Q-Network (DQN)-based Reinforcement Learning (RL) approach, a Mixed-Integer Linear Programming (MILP)-based solver, and both human and heuristic baselines. The results demonstrate that it is feasible to have virtual agents make autonomous decisions using our DCOP method, leading to an efficient distributed solution. To facilitate further research in Self-Organizing Logistics (SOL), we provide a novel real-life dataset.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Algorithmic
Congenital pouch colon with rectal atresia revisited
We are adding two cases of congenital pouch colon with rectal atresia (RA) to the already published five cases. The presentation of RA is often delayed owing to the presence of normal anus, however, clinical evaluation, plain abdominal radiograph, and urine examination for meconuria, may help in detecting this rare association early
Co-creating Responsible Energy Systems
Energy system projects in countries like India are often failing. Not only because of technical or economical barriers, but mainly institutional and social issues are at the base of these failures. A co-creation, or participatory, process to align all demands and requirements of the different stakeholders is required. This paper takes evidence from literature on co-creation and energy systems and from case study research in India to help define an approach towards such a co-creation process as a use case for the application of the Responsible Innovation Systems framework. A discussion on co-creation as a solution generates a number of recommendations, after which a set of characteristics is concluded that the co-creation process of energy systems should have towards a responsible approach, so that more robust and sustainable innovations might emerge.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Energy and IndustryDelft Centre for Entrepreneurshi
Structural and electronic properties of LaPd2As2 superconductor: First-principle calculations
Scheduling of EV Charging in Grid-Connected Parking Lots with Renewable Sources
The growing concern about environmental issues is leading many countries to take measures that
allow a more rational energy usage and for a more sustainable future. The improvement of systems
e�ciency and the use of renewable sources are some points to work on to reduce greenhouse gas
emissions. That is why electric mobility is drawing the attention of companies, countries and research
groups, as an important measure to face the negative consequences derived from the current energy
usage. It is clear that the inclusion of electric vehicles will strongly a�ect the operation, management,
and planning of current electric power systems. Firstly, an additional load will have to be considered,
the electric vehicles charging. In an initial stage, when the deployment of electric vehicles is not
signi�cant, special measures will not be required. However, in the future with thousands of vehicles
in operation, ad-hoc electric vehicle charging can lead to line congestion or voltage limits violation.
Moreover, an update of the current electric power systems regarding more advanced information
and communication technologies, better metering devices, as well as the presence of more renewable
sources are required for the suitable integration of electric vehicles.
The increasing number of electric vehicles (EV) means there is a growing need for charging
stations as well. A potential solution to address the need for charging stations is to transform traditional
parking lots into smart parking lots. Due to the inherently complex and dynamic environment,
a potential obstacle, from a business perspective to the process of transforming parking lots into
smart parking lots is the complexity of estimating the pro�t of the smart parking lots owner and,
consequently, the length of time required to recover the cost of the initial investment. We propose a
simulation approach to estimate the smart parking lot owners pro�t during a certain period of time.
Thus, this thesis is intended to cover the problem of signi�cant increase in electric vehicles arriving
at the parking lot leading to a challenge for scheduling of vehicles for charging. The primary objective
of parking lot owner is to charge more vehicles and increase pro�t. But due to stringent rules from
regulators for network upgrades, increase in the number of charging slots is challenging. Installing
a distributed generation like solar microgrid will bene�t from allowing many vehicles to charge at
the parking lot. This thesis aims in proposing an algorithm called parking lot management system
(PLMS) and charging management system (CMS) for scheduling of electric vehicles with the support
of solar generation with the objective of minimizing the power drawl from the grid during high peak
pricing period. Power drawl from the grid is reduced by using the solar power available. Since
the power drawl from the grid is reduced, it is obvious that the pro�t of the parking lot owner is
increased. scheduling is done by shifting the cars to the abundant solar power period and reducing
the peaks on the grid which helps the utility operator. The proposed algorithm is simulated using
MATLAB programming, and the results are presented
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