Speaker(s)

Recent Development of Synthetic Aperture Radar in Malaysia

Abstract:

Radar has long been used for military and commercial purposes in a wide variety of applications such as imaging, guidance, remote sensing and global positioning. The use of SAR for remote sensing is particularly suited for tropical country such as Malaysia. By properselection of operating frequency, the microwave signal can penetrate clouds, haze, rain precipitation with very little attenuation, thus allowing operation in unfavourable weather condition that preclude the use of visible light/infrared system. For national monitoring and management of earth resources, limited number and untimely supply of the required SAR images have been a major problem. Therefore, the need for developing Malaysia own SAR technology and sensor system is apparent. In this sharing session, the speaker will talk about the overview of microwave remote sensing, the applications of radar remote sensing and the development of radar technology (airborne SAR and ground based SAR) in Malaysia.

Theory and application of smoothed particle hydrodynamics in fluid mechanics

Abstract:

Smoothed particle hydrodynamics (SPH), as a meshfree Lagrangian particle methods, has special advantages in modeling complex fluid flows, especially those with large fluid deformation, fluid-structure interaction and multi-scale physics. Based on the previous work, I review the methodology and applications of SPH in modeling complex fluid flows. Specifically, there are four interesting applications of SPH to be discussed in this study, multi-phase flows, wave energy, flows around a body and soil mechanics, respectively. For multi-phase flows, an improved multi-phase SPH model is introduced, which can efficiently simulate the multi-phase flows with large density ratios. For wave energy, two types of wave energy devices are simulated by the coupled SPH and FPM (Finite Particle Method), and the hydrodynamics properties of the devices are discussed. For flows around a body, a coupled SPH – FDM (Finite Difference Method) is introduce to simulate the unsteady flows around the moving body, such as the oscillating airfoil and the swimming fish. For soil mechanics, a mixed SPH is introduced to simulate hydrate-bearing soil, and a multi-layer particle method is introduced to simulate the water-soil coupling interaction, considering the seepage process and the variation of the volume fractions of water and soil. Finally, the conclusion is given with new perspectives and future trends in SPH modeling of complex fluid flows.

An Interpretive Structural Modelling (ISM) based Multi Criteria Decision Making for Supplier Selection with Dynamics of Global Indicators Barrier

Abstract:

The values of the alternatives and the weights of the criteria are thought to be set in classic decision-making issues. In the past, suppliers have been chosen based on their capacity to fulfil the demands for quality, delivery, and pricing. Nonetheless, in contemporary management, cultivating enduring supplier relationships requires taking into account a plethora of additional variables. One of the most important factors affecting the competitiveness of the entire dynamic global supply chain network is supplier selection and evaluation. A supplier can be chosen carefully to produce high-quality goods at a reduced cost while increasing client satisfaction. Therefore, suppliers are the foundation upon which manufacturers attempt to build their selection process. An established process for determining and summarising the links between certain things that form an issue or problem is called interpretive structural modelling, or ISM. It offers a way for a group to impose order on the items’ level of complexity. The key selection criteria for suppliers have been examined in order to create an ISM that illustrates how the criteria relate to one another and to different levels. These requirements have also been divided into groups based on how dependent and powerful each driver is. This research aims to determine the key decision factors that are pertinent to the contemporary global business climate before offering a useful instrument for selecting suppliers based on their preferences in relation to the requirements of manufacturing organisations.

Simulating future scenarios: A computational modeling framework for urban resilience through Sustainable Groundwater Replenishment Strategies

Abstract:

Urban sustainability significantly impacts groundwater, with an escalating concern over groundwater depletion. The root cause of this issue lies in the challenge of effectively recharging groundwater. Numerous studies have explored various methods for ground water recharge, yet the critical aspect lies in implementing these methods in suitable recharge zones. This study endeavors to elevate the process of identifying optimal recharge zones to a sophisticated Multi-Criteria decision-making (MCDM)approach, considering factors such as rainfall patterns, land-use conditions, aquifer characteristics, transmissivity, thickness, drainage density, lineament densities, and soil types. A notable observation from the literature review is the scarcity of studies incorporating future rainfall scenarios, a crucial perspective for understanding recharge capacity. Furthermore, anticipating the expansion of built-up areas is essential as it directly influences potential recharge zones. To address these gaps, the present study integrates future rainfall projections and land-use projections to identify Groundwater Recharge Potential Zone (GWRPZ). The future rainfall projections are obtained through statistical modeling with Global Circulation Models and land-use projections modeled using land change modeling for the years 2030, 2040, and 2050. An additional contribution to the literature is the utilization of the Ordered Weighted Averaging (OWA)technique within the Multi-Criteria Decision-Making (MCDM) framework, a seldomapplied approach. OWA proves instrumental in offering decision-makers a nuanced array of solutions, accounting for both trade-offs and risks. This study bridges this literature gap by employing the OWA technique to overlay all relevant factor maps. This research not only addresses current challenges but also proposes a tangible solution by suggesting the implementation of 13 strategically located recharge wells within‘good’ category of Groundwater Recharge Potential Zones (GWRPZ). The uniqueness of the approach lies in superimposing the stream order map onto the identified ‘good’ GWRPZ, elucidating the intricate relationship between surface water and subsurface water and their collective contribution to groundwater recharge. This study presents a sustainable urban development by integrating advanced computational modelling techniques focusing the critical issue of groundwater depletion in urban areas. Through meticulous simulation of future rainfall scenarios and land-use changes using Global Circulation Models and land change modeling, this approach goes beyond conventional studies. This study introduces a rarely explored OWA technique empowering decision makers with a diverse array of maps and predictive scenarios. This study can serve as a compass guiding urban landscapes towards a harmonious future.

Large Language Models: Empowering Artificial Intelligence in Modern Era

Abstract:

This lecture explores Large Language Models (LLMs), a revolutionary force in Artificial Intelligence. LLMs, trained on massive datasets, possess the remarkable ability to understand and generate human-like text. We will delve into how LLMs are empowering AI by enabling: Conversational AI: Chatbots and virtual assistants leverage LLMs to grasp conversation context and deliver natural, personalized responses. Enhanced Automation: LLMs can automate tasks like text summarization, translation, and code generation, boosting efficiency across industries. Advanced Research and Development: LLMs can analyze vast amounts of scientific literature, accelerating research and development processes.

Prof. Ir. Dr. Chan Yee Kit

Dr. Can Huang

Dr. Mohammad Rizwanullah

Dr. Mohammad Parwez Akhtar

Dr. Anand Nayyar