Call for Participation - International Conference on AI & Civil Engineering (AICiViL 2023)
December 30 ~ 31, 2023, Virtual Conference
We invite you to join us on
International Conference on AI & Civil Engineering (AICiViL 2023)
will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Artificial Intelligence & Civil Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of AI and Civil Engineering.
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Non-Author / Co-Author/ Simple Participants (no paper)
200 USD (With proceedings)
For registration and details mail: aicivil@aicivil2023.org or aicivil_conf@yahoo.com
Accepted Papers
Lehmer Property for Some Integer Sequences
Ala’a Al-Kateeb and M.K. Sahukar, Department of Mathematics, Yarmouk University, Irbid, Jordan
In this note, we prove that there is no number with theLehmer property in the sequences of
Jacobsthal or Jacobsthal-Lucas numbers, the Balancing and Balancing-Lucas numbers.
Lehmar property, Jacobsthal numbers, Jacobsthal-Lucas numbers, Balancing numbers, Balancing-Lucas numbers, Euler’s function.
Markov Chains and Covid
Alessio Drivet1, 1GeoGebra Institute of Turin, Italy
The text aims to show the use of Markov chains for modelling the Covid-19 pandemic. After
a brief general introduction, a simulation of the phenomenon is presented, starting from some
transition hypotheses and using a spreadsheet for the calculations.
Covid-19, Markov chains, Model, Spreadsheet.
Application of Fuzzy Topsis for Prioritizing Barriers to Circular Economy Doption in the Automotive Sector: a Study in an Emerging Country
Tiago F. A. C. Sigahi, Institute of Science and Technology, Federal University of Alfenas, Poços de Caldas, Brazil
Acknowledging the substantial economic, social, and environmental impacts of sustainability
and circular economy (CE) practices, their imperative role in the automotive industry cannot
be overstated. Despite this significance, there is a lack of studies addressing these critical
themes within the automotive sector. This paper aims to bridge this gap by providing an
examination of the barriers hindering the adoption of CE principles, with a specific focus on
the Brazilian automotive industry. A survey, involving 41 experts comprising 21 academics
specializing in sustainability and CE, 16 experienced managers, and 4 directors with
substantial automotive industry expertise, was conducted. The study identified and evaluated
12 barriers to CE adoption in the automotive sector based on the experts’ assessment using
Fuzzy TOPSIS. The study's findings underscore the scarcity of professionals with sufficient
knowledge and expertise), the absence of supportive public policies, and the inadequate
commitment from leadership as the top three priority barriers. The research recommends
targeted actions for companies, policymakers, and universities to collaboratively contribute
towards overcoming these identified barriers and fostering a sustainable and circular
trajectory for the automotive industry.
Fuzzy logic, Multicriteria decision making, Circular economy, Automotive industry, Barriers
User Name : Tolstoy
Posted 13-12-2023 on 22:42:11 AEDT