Abstract : We are living in exceptional times, as trade conflicts, climate change and crises-related-pandemic are creating uncertainties that may influence the current business environment. Businesses face risks that are difficult to be measured. However, collaborative efforts among academia, industries, government and civil society through industrial mathematics will facilitate IN creating new sustainable ways of doing business in an unstable environment. This APCMfI minisymposium will discuss the handling and managing business uncertainties. Firstly, identification of challenges introduced by the uncertainties at operational and decision making, and secondly, the deliberation on the techniques in quantifying uncertainties and tackling the challenges.
[03389] Mathematics behind performance estimation of multiscale structures
Format : Talk at Waseda University
Author(s) :
Yichao Zhu (Dalian University of Technology)
Abstract : In business involving commercial products carrying multiscale structures, utilisation of uncertainty quantification tools that are both reliable and efficient is still needy. In this talk, appropriate use of mathematical techniques of asymptotic analysis is proposed to resolve the issue. As an example, uncertain behaviours of fibre-reinforced composite laminates are considered. Through asymptotic analysis, it is shown that the building blocks of such thin plate configurations are two-dimensional slices, and analytical solutions are even available in the situation in consideration. Correlations between the confidence interval about the plate bending stiffness and manufactural uncertainties can then be established with relative ease.
[04204] Handling Uncertainties in Decision Making
Format : Online Talk on Zoom
Author(s) :
ZAITUL MARLIZAWATI ZAINUDDIN (UTM CENTRE FOR INDUSTRIAL AND APPLIED MATHEMATICS (UTM-CIAM))
NORSHELA NOH (UNIVERSITI TUN HUSSEIN ONN MALAYSIA (UTHM))
ARIFAH BAHAR (UTM CENTRE FOR INDUSTRIAL AND APPLIED MATHEMATICS (UTM-CIAM))
Abstract : This study highlights the importance of incorporating uncertainty quantification of stochastic parameters in stochastic programming compared to expert judgement approach. It proposes a methodology for integrating stochasticity of input parameters into two-stage stochastic programming. The approach involves constructing a binomial scenario tree, which combines a binomial tree for each stochastic parameter and discretizes the continuous probability distribution of the underlying stochastic process. The scenario tree consists of all possible scenarios to explain future situations.
[04896] Aggregation value regression and its application to household demand forecasting
Format : Talk at Waseda University
Author(s) :
Kei Hirose (Kyushu University)
Hiroki Masuda (University of Tokyo)
Hidetoshi Matsui (Shiga University)
Abstract : In recent years, a number of sensor data have been collected, and some researchers are interested in the aggregation values, such as congestion levels and electricity demand. This study constructs a regression modeling specifically designed for aggregation value forecasting. The proposed modeling is applied to household demand forecasting.
Abstract : Recently, with the development of AI technology, AI has been increasingly used for decision-making in various domains where sophisticated knowledge is required. Although well-trained AI models are used in such situations, AI has a weakness in that its predictive ability is reduced for data that was not included during training. In this talk, we will introduce a method to verify the uncertainty of the output of AI by observing the topological information of trained models.
[04919] Consecutive eigenvalues distribution of asymmetric quantum Rabi models
Format : Talk at Waseda University
Author(s) :
MASATO WAKAYAMA (NTT Institute for Fundamental Mathematics)
Abstract : We focus spectral structure of the asymmetric quantum Rabi models (AQRM), which are widely studied as one of the most fundamental models of light-matter interaction. Particularly, we will discuss the symmetric structure of the consecutive (i.e., nearest) eigenvalues of the AQRM when we vary the flip term, which is the symmetric-breaking parameter of the Hamiltonian.
[05125] Changing the Misconception of Subsea Cable Laying Norm
Format : Talk at Waseda University
Author(s) :
Kamaudin Ismail (Ifactors Sdn Bhd)
Abstract : The world today is undeniably heavily reliant on technology. As a result of the continuous advancement in technology, the demand for data transmission services is at an all-time high.
Subsea cables are one of the major foundation of global connectivity. It is responsible for transmitting 99% of international data traffic systemwide.
However, despite being crucial factor in global connectivity, the process of laying subsea cables is still widely misunderstood.
This paper aims to address this misconception and to shed lights on the real process of subsea cable laying.
A conventional cable laying concept is by mobilizing a dedicated cable lay vessel. However, the main issue in this equation is that the vessel can only be used for cable lay process alone.
The above concept above gave an opportunity for Ifactors to venture into an unknown open concept. It is a new technique/process which is modular and easier to setup for a short distance cable lay.
[04095] Handling Uncertainties for Wastewater Treatment in Oxidation Pond
Format : Online Talk on Zoom
Author(s) :
Zainal Abdul Aziz (Universiti Teknologi Malaysia)
Arifah Bahar (Universiti Teknologi Malaysia)
Amir Syafiq Hamzah (Universiti Teknologi Malaysia)
Abstract : Oxidation pond techniques are effective for wastewater treatment process due to low operational cost. A stochastic model accommodates the correlation between the phototrophic bacteria mPHO and pollutant existing in oxidation pond. The model analyses and handles the uncertainties of this process, particularly the effect of mPHO on the degradation of pollutant. The model parameters estimation use simulated maximum likelihood based on the real data collected from an oxidation pond located in Taman Timor, Johor, Malaysia.
