- Supply Chain Resilience and Risk Management
- Supply Chain and Inventory Management
- Sustainable Supply Chain Management
- Quality and Supply Management
- Color Science and Applications
- Advanced Multi-Objective Optimization Algorithms
- Urban and Freight Transport Logistics
- Vehicle Routing Optimization Methods
- Metaheuristic Optimization Algorithms Research
- Blockchain Technology Applications and Security
- Data Management and Algorithms
- Orbital Angular Momentum in Optics
- Data Quality and Management
- Forecasting Techniques and Applications
- Data Mining Algorithms and Applications
- Plasmonic and Surface Plasmon Research
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Oil and Gas Production Techniques
- Color perception and design
- Reservoir Engineering and Simulation Methods
- Privacy-Preserving Technologies in Data
- Big Data and Business Intelligence
- Business Process Modeling and Analysis
- Hydraulic Fracturing and Reservoir Analysis
Affiliated Hospital of Guizhou Medical University
2025
Guizhou University
2025
Singapore Institute of Manufacturing Technology
2015-2024
Agency for Science, Technology and Research
2015-2024
Nanyang Technological University
2005-2024
University of Stavanger
2023-2024
Institute of High Performance Computing
2023
Singapore University of Social Sciences
2019
University of Cambridge
2016
Singapore Institute of Technology
2007-2013
To find diversified solutions converging to true Pareto fronts (PFs), hypervolume (HV) indicator-based algorithms have been established as effective approaches in multiobjective evolutionary (MOEAs). However, the bottleneck of HV MOEAs is high time complexity for measuring exact contributions different solutions. cope with this problem, paper, a simple and fast MOEA (FV-MOEA) proposed quickly update The core idea FV-MOEA that contribution solution only associated partial rather than whole...
We report an approach to the increase of signal channels in free-space optical communication based on composed vortices (OVs). In encoding process, conventional algorithm employed for generation collinearly superimposed OVs is combined with a genetic achieve high-volume OV multiplexing. At receiver end, novel Dammann vortex grating used analyze multihelix beams large number OVs. experimentally demonstrate digitized system which capable transmitting and receiving 16 simultaneously. This...
We report a 2D static binary phase Dammann vortex grating that combines the features of conventional and grating. This uniformly distributes energies among diffraction orders, so low-efficiency problem at higher orders gratings is resolved detection range optical vortices (OVs) greatly increased. Experimental results OV using fabricated 5×5 are given, topological charge from -12 to +12 achieved. The potential applications such include transmitting, receiving, multiplexing beams in...
Recent technological evolution enables Artificial Intelligence (AI) model training by users' mobile devices, which accelerates decentralized big data analysis. In particular, Federated Learning (FL) is a key enabler to realize AI update without user's privacy disclosure. However, since the behaviour of workers, who are assigned task, cannot be monitored, state-of-the-art methods require special hardware and/or cryptography force workers behave honestly, hinders realization. Furthermore,...
Globalisation and lean initiatives increase the vulnerabilities of supply chains (SC), where disruptions in any plant a chain network (SCN) can propagate throughout whole SCN. Redundancy is part SC re-engineering to improve resilience (SCRES). This paper presents conceptual model an SCN using graph theory, considering relationships between plants materials. Based on model, structural redundancy measured, which used assess SCRES. assessment approach focuses against disruptions. Case studies...
Supply chain resilience (SCRES) refers to the ability of a supply (SC) both resist disruptions and recover its operational capability after disruptions. This paper presents simulation model that includes network structural properties in analysis SCRES. extends an existing graph consider behaviours order capture disruption-recovery dynamics. Through (SCN), mitigation strategies are designed build redundancy, while contingency developed prioritise recovery affected SCN. SCRES indexes proposed...
Private Ethereum blockchain-based systems are demanded in many industry sectors. However, the throughput performance of these does not meet their expectations. Many researchers have analyzed private blockchains, but studies failed to analyze root causes. In this paper, we perform a deep function-level bottleneck analysis for blockchain. As client application is developed with golang, leverage pprof, which resource-profiling tool and custom golang functions measure time taken by functions. To...
Abstract While peer‐to‐peer (P2P) financing mechanisms have recently gained significant popularity, small and medium sized enterprise (SME) entrepreneurs still harbor a considerable degree of skepticism about the role governments in promoting alternative supply chain finance (SCF) solutions re‐emergence (SC) localization. This paper studies SC problem capital‐constrained SME entrepreneur under two schemes provided by an online P2P lending‐investment platform, namely debt (DF) equity (EF)....
We extend the Dammann encoding concept to more general phase functions, i.e., encode a pattern so that number of diffracted orders have same intensity. demonstrate vortex grating generates different patterns in orders. also show Fresnel lens creates seven transverse focal spots each axial planes.
Federated learning (FL) is a promising decentralized deep technique that allows users to collaboratively update models without sharing their own data. However, due its nature, no one can monitor workers' behavior, and they may thus deviate protocols (e.g., participating updating any models). To solve this problem, many researchers have proposed blockchain-enabled FL reward workers (or users) with cryptocurrencies encourage follow the protocols. there lack of theoretical discussions...
This paper presents a first study on solution representation learning for inducing greater alignment and hence positive transfers between distinct multi-objective optimization tasks that bear discrepancies in their original search spaces. We establish novel probabilistic model-based transfer evolutionary (TrEO) framework with learning, capable of activating while simultaneously curbing the threat negative transfers. In particular, well-aligned representations are learned via spatial...
Due to the complex nature and numerous interacting factors that contributes increased vulnerability of supply chains, traditional methods have been found be inadequate for Supply Chain Risk Management (SCRM). Agent-Based Modeling Simulation (ABMS), an agent-oriented approach model simulate adaptive systems, represents a recent development in chain planning has regarded highly appropriate studying risk management [1-4]. The objective this paper is provide multi-perspective survey...
Automatic identification system (AIS) has been widely equipped on vessels for maritime communication, positioning and traffic monitoring. The comprehensive data obtained by AIS provides spatio-temporal traces depicting the vessels' trajectories can be used as a coherent source of information behavior overall analysis, in supporting better planning service optimization. However, it is challenging to process analysis such large amount that associated with great variety vessels. In this paper,...
The objective of this paper is to analyze Supply Chain Visibility (SCV) which ill-defined and provide a comprehensive understanding SCV from collaborative decision making perspective. A literature review has been conducted understand the meanings extensively used jargon supply chain visibility. characteristics have conceptually analyzed definition for it proposed clear confusion its usages. unique expression specific field management logistics. Currently, there are various definitions...
Size effect is a phenomenon in reinforced-concrete beams associated with reduction of shear strength owing to an increase member size. It postulated here that the size related effectiveness strut-and-tie model (STM), mobilisation which largely depends on strut geometry and boundary conditions. Strut governed by loading support plates as well beam depth, while conditions are spacing diameter web reinforcement transverse inclined struts. The test programme provided experimental evidence...
Optical vortices can be easily generated using a multilevel spiral phase plate (SPP). However the quality of vortex beam depends on number segments. We review theory for this SPP Fourier expansion integer topological charged vortices. then experimentally examine validity fabricated Dammann diffraction grating spectrum analyzer. The is SU-8 photoresist glass substrate and yields uniform efficiency across desired diffracted orders. Experimental results show extra angular harmonics agree with theory.
A schedule-based system is a that operates on or contains within schedule of events and breaks at particular time intervals. Entities the show presence absence in these by entering exiting locations events. Given radio frequency identification (RFID) data from system, what can we learn about (the entities) through mining? Which mining methods be applied so one obtain rich actionable insights regarding domain? The research goal this paper to answer posed questions, development framework...