Registered Data

[CT164]

[02457] Optimizing Bunkering Management Strategy to Support Green Shipping Using Artificial Bee Colony Algorithm (ABC)

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Contributed Talk
  • Abstract : Sea transportation has been considered as more eco-friendly transportation compared to other transportation. However, maritime logistic has produced a lot of carbon emissions. Therefore, this research is performed for optimizing the development of bunkering management strategies. It will focus on choosing a fuel with an affordable price and producing fewer carbon emissions. The problem can be formulated as the MINLP to minimize the total cost and can be solved by ABC algorithm as an optimization method.
  • Classification : 90Bxx, 90Cxx, 90-08
  • Author(s) :
    • Nurul Fajr Romadhona (Sepuluh Nopember Institute of Technology)
    • Sena Safarina (Sepuluh Nopember Institute of Technology)
    • Oktaviani Turbaningsih (University of Tasmania)

[00839] Characterization of the two-stage contagion: ODEs and PDEs modeling, cellular automata approach, and dynamics on random Erdös-Rényi networks

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Contributed Talk
  • Abstract : We characterize the rich dynamics of two-stage contagion through different mathematical modeling approaches: ODEs, PDEs, Cellular Automata, and dynamics on Random Networks. In the most generalized form, we compare two-stage contagion rules governed by a probabilistic parameter $q \in [0,1)$, with the one-state contagion $(q=1)$. These rules operate over a population whose individuals are connected in an Erdös-Rényi random network typified by the connectivity parameter $p \in [0,1]$. The study examines the impact of social network structure on the spread of an innovation with dynamics more grounded in reality, indicating that two-stage contagion requires more connectivity to spread or to achieve a similar level of adoption in the population.
  • Classification : 91D30, 05C80, 37B15, 35Q91
  • Author(s) :
    • Luca Meacci (Dipartimento di Matematica "Ulisse Dini" - Università degli Studi di Firenze)
    • Francisco Javier Muñoz (Departamento de Matemática Aplicada, Ciencia e Ingeniería de los Materiales y Tecnología Electrónica - ESCET Universidad Rey Juan Carlos, Madrid)
    • Juan Carlos Nuño (Departamento de Matematica Aplicada - Universidad Politécnica de Madrid)
    • Mario Primicerio (Dipartimento di Matematica "Ulisse Dini" - Università degli Studi di Firenze)

[01358] Compartment Models for Ideas on Social Media Networks

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Contributed Talk
  • Abstract : The concept of virality and the structure of social media networks lend themselves to the use of SIR-like compartment models to study the spread of ideas between users on these platforms. This talk introduces the USBA - Unexposed, Sending, Bored, and Acclimated - family of discrete compartment models as a means of simulating how ideas reach and affect users and change the network structure, leading to the formation of echo chambers and polarization in sentiment.
  • Classification : 91D30, 91D10, 34C60, Internet Studies
  • Author(s) :
    • Adam Mark Furman (University of Oxford Mathematical Institute)

[01116] Finite-time dynamic event-triggered consensus for multi-agent systems under multiple attacks

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Contributed Talk
  • Abstract : This paper addresses the problem of resilient finite-time consensus for multi-agent systems (MASs) under a dynamic event-triggered mechanism and multiple cyber-attacks. The proposed attack strategy includes scaling, replay, and DoS attacks that occur stochastically in a unified framework. Sufficient conditions for consensus of MASs are derived using linear matrix inequalities and Lyapunov stability theory, which ensure the exponentially mean-square finite-time stability. Eventually, the effectiveness of the obtained results is verified through autonomous mobile robots.
  • Classification : 93A16, 93B70, 93D05, 93D40, 93D50
  • Author(s) :
    • Sathishkumar Murugesan (National Cheng Kung University)
    • Yen-Chen Liu (National Cheng Kung University)

[01102] Independent Study in Designing Mathematics Learning Using GeoGebra AR

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Industrial Contributed Talk
  • Abstract : This research examines the implementation of one program from the Indonesian Ministry of Education, Culture, Research, and Technology, i.e., independent studies, in the Department of Mathematics Education at a public university in Langsa, Aceh, Indonesia. The activities focused on compiling learning designs that apply the GeoGebra Augmented Reality (AR) to geometrical concepts in secondary schools by adopting the ADDIE Model. The aim is for pre-service mathematics teachers to explore learning activities independently in mastering Technological Pedagogical Content Knowledge (TPACK) when teaching mathematics. Our findings suggest the implementation of such an independent study because of its advantages and program improvisation as a form of program development.
  • Classification : 97Gxx, 97Hxx, 97Uxx
  • Author(s) :
    • Guntur Maulana Muhammad (Universitas Samudra)
    • Natanael Karjanto (Sungkyunkwan University)
    • Iden Rainal Ihsan (Universitas Samudra)