823 research outputs found
Lap time simulation and design optimisation of a brushed DC electric motorcycle for the Isle of Man TT Zero Challenge
No full textThis works regards the design of an electric motorcycle for the annual Isle of Man TT Zero Challenge. Optimal control theory was used to perform lap time simulation and design optimisation. A bespoked model was developed, featuring 3D road topology, vehicle dynamics and electric power train, composed of a lithium battery pack, brushed DC motors and motor controller. The model runs simulations over the entire or of the Snaefell Mountain Course. The work is validated using experimental data from the BX chassis of the Brunel Racing team, which ran during the 2009 to 2015 TT Zero races. Optimal control is used to improve drive train and power train configurations. Findings demonstrate computational efficiency, good lap time prediction and design optimisation potential, achieving a 2 minutes reduction of the reference lap time through changes in final drive gear ratio, battery pack size and motor configuration
The burden of viral hepatitis C in key subgroups in Belgium: targets for micro-elimination
No full textR. Bielen None Declared, S. Salomonsson None Declared, S. Toghanian None Declared, K. Venken None Declared, M. Hiver None Declared, A. Matthys None Declared, G. Hendrickx None Declared, M. Jadoul Consultant for MSD, Speaker Bureau of AbbVie, MSD, F. Nevens None Declared, G. Robaeys None Declared, J. Lazarus Grant/Research support from MS
The burden of viral hepatitis C in key subgroups in Belgium: targets for micro-elimination
No full textR. Bielen None Declared, S. Salomonsson None Declared, S. Toghanian None Declared, K. Venken None Declared, M. Hiver None Declared, A. Matthys None Declared, G. Hendrickx None Declared, M. Jadoul Consultant for MSD, Speaker Bureau of AbbVie, MSD, F. Nevens None Declared, G. Robaeys None Declared, J. Lazarus Grant/Research support from MS
Accepting Optimally in Automated Negotiation with Incomplete Information (abstract)
No full textIntelligent SystemsElectrical Engineering, Mathematics and Computer Scienc
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Episode #2: Interview with President Koen Lenaerts
No full textEpisode #2 of the Borderlines CJEU Series features CJEU President Koen Lenaerts in conversation with Professor Katerina Linos (Berkeley) and Professor Mark Pollack (Temple University). President Lenaerts has been re-elected to the Court’s top office by his peers three times since 2015, having served tirelessly since his nomination to the CJEU in 2003 by home country of Belgium. His interview traces the historic path to today’s Court of Justice, and illuminates differences from other courts, including the U.S. federal judicial system.Listeners will come away with an overview of the Court’s functions and structural methodology in interpreting the EU legal order, including the role of the President, the Judge rapporteur, and the Advocate General. Presidential responsibilities include assigning cases to Judges and presiding over the Grand Chamber to deal with the most important cases. New developments in case law, evolving technological access, and finding balance between unity and diversity, privacy and security, are addressed by the head of the EU’s judicial institution.President Lenaerts in total has spent 35 years as a European Union Judge, initially serving on the Court of First Instance of the European Communities (now the General Court) when it was established in 1989. He earned his legal degrees including a doctorate in Belgium and also obtained a Masters of Laws and a Masters in Public Administration from Harvard University. President Lenaerts is Professor of European Union Law at Leuven University in Belgium and a member of many legal and academic associations including the Academia Europaea, London; the Advisory Council of the British Institute of International and Comparative Law; the Advisory Board of the Centre of Law and Governance in Europe, University College London; the Governing Board of the Foundation of the Academy of European Law (ERA), Trier; and the Board of Trustees of the Max-Planck-Institut für ausländisches öffentliches Recht und Völkerrecht, Heidelberg. He is the recipient of numerous awards and author of a vast list of publications.</p
Correction to: Decisional Balance Inventory (DBI) Adolescent Form for Smoking: Psychometric Properties of the Persian Version
No full textCorrection After publication of the article [1], it has been brought to our attention that the first and last names of the third author were transposed in the original article. The author was published as “Ponnet Koen” where in fact the correct name is “Koen Ponnet”. The original article has been revised to reflect this
Autonomy and Decision-Making Power of Independent Regulatory Agencies in Multi-Level Arrangements
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Acceptance conditions in automated negotiation
No full textIn every negotiation with a deadline, one of the negotiating parties has to accept an offer to avoid a break off. A break off is usually an undesirable outcome for both parties, therefore it is important that a negotiator employs a proficient mechanism to decide under which conditions to accept. When designing such conditions one is faced with the acceptance dilemma: accepting the current offer may be suboptimal, as better offers may still be presented. On the other hand, accepting too late may prevent an agreement from being reached, resulting in a break off with no gain for either party. Motivated by the challenges of bilateral negotiations between automated agents and by the results and insights of the automated negotiating agents competition (ANAC), we classify and compare state-of-the-art generic acceptance conditions. We focus on decoupled acceptance conditions, i.e. conditions that do not depend on the bidding strategy that is used. We performed extensive experiments to compare the performance of acceptance conditions in combination with a broad range of bidding strategies and negotiation domains. Furthermore we propose new acceptance conditions and we demonstrate that they outperform the other conditions that we study. In particular, it is shown that they outperform the standard acceptance condition of comparing the current offer with the offer the agent is ready to send out. We also provide insight in to why some conditions work better than others and investigate correlations between the properties of the negotiation environment and the efficacy of acceptance conditions.MediamaticsElectrical Engineering, Mathematics and Computer Scienc
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