DR-NTU (Digital Repository of NTU)
Not a member yet
116018 research outputs found
Sort by
Health-centric mobile app for food delivery
The rapid growth of online food delivery market since the COVID-19 pandemic has
highlighted a critical gap between the lack of health-centric options and the rising trend
of chronic health conditions.
This project focuses on developing a health-centric online food delivery mobile
application to bridge this gap by providing personalised meal recommendations based
on users’ health data such as Body Mass Index (BMI), blood pressure, cholesterol level,
and other dietary preferences or restrictions.
The app is built using Android Studio and Java, with Firebase as the backend database,
the development process is divided into the following three stages: technical design,
application implementation, and functional testing.
This report will also discuss recommendations for future work to further enhance
functionality and improve usability.Bachelor's degre
How noble metal substrates affect the scattering cross-sections and patterns of Si nanosphere
The optical properties of silicon (Si) nanospheres, driven by Mie resonances, are significantly influenced by their interaction with noble metal substrates, presenting transformative opportunities for nanophotonic applications. This study comprehensively explores the effects of gold (Au) and silver (Ag) substrates on the scattering cross-sections and far-field radiation patterns of Si nanospheres through an integrated approach combining theoretical modeling, finite element method (FEM) simulations, and experimental validation. By integrating Mie scattering theory with plasmonic phenomena, we demonstrate that noble metal substrates enhance scattering cross-sections by up to one order of magnitude compared to isolated Si nanospheres, primarily attributed to localized surface plasmon resonance (LSPR) hybridization and dipole-image interactions. Silver substrates exhibit superior performance in scattering enhancement over gold due to their lower intrinsic losses and stronger plasmonic activity.
Substrate geometry, encompassing nanostructuring and gap distances, plays a critical role in regulating directional scattering patterns. Periodic nanostructures introduce tailored anisotropy, enabling precise control over far-field radiation. Wavelength-dependent resonance shifts across the visible to near-infrared spectra further emphasize the tunability of hybrid systems. Polarization-resolved analyses reveal distinct responses: s-polarized excitation enhances the quality factors of magnetic dipole resonances, while p-polarized illumination suppresses electric dipole scattering but induces broadband near-field localization. Experimental and numerical results confirm that absorption and extinction cross-sections exhibit significant sensitivity to polarization angles, decreasing as polarization angles increase, whereas azimuthal angles have minimal influence.
These findings highlight the synergy between dielectric resonances and plasmonic coupling, advancing potential applications in optical sensing, directional nanoantennas, and energy-efficient photonic devices. Challenges such as fabrication precision for sub-5 nm gaps, nonlinear dynamics under pulsed excitation, and quantum plasmonic effects in ultra-narrow gaps are identified as key areas for future research. This work establishes a foundational framework for leveraging substrate-engineered nanophotonic systems, bridging classical electromagnetism and quantum effects for next-generation optoelectronic technologies.Master's degre
IoT smart parking system
The inefficiency of finding a parking space has always been an issue to address in urbanized cities. It causes unnecessary fuel and time wastage as well as aggravates the traffic congestion. The objective of the project is to the design and implement an IoT-based smart parking system prototype that integrates real-time sensor data, cloud computing, and a user-friendly web interface to streamline the parking spots vacancies. IR sensors detect vehicle occupancy and transmitting data using ESP32 to AWS platform. Additionally, this system employs the YOLO model for object detection and integrates with google cloud vision for text recognition to transform the traditional car park to a gantry free car park. The detected license plate number and timings will also be sent to the AWS platform to perform further processing. This edge device executes a trained YOLOv11s object detection model (deployed via ONNX) for vehicle and license plate localization, achieving high accuracy ([email protected]:0.95=0.951 on test data), followed by Google Cloud Vision API for license plate number recognition. On the Raspberry Pi 4 hardware, the end-to-end detection and recognition pipeline demonstrated an average processing time of 1387 ms per frame (~0.72 FPS). This project serves as a proof of concept by showcasing the feasibility of gantry-free automated, cloud-integrated parking management systems.Bachelor's degre
Temporal spacing and the dark triad: examining the effect of temporal spacing on the correlations between dark triad traits
The present study aimed to investigate the direct effects of temporal spacing on the correlation between Dark Triad traits (narcissism, Machiavellianism and psychopathy). Existing literature posits that the correlations between the Dark Triad traits may be overinflated due to common method variance when administering Dark Triad inventories. 260 undergraduate students from Nanyang Technological University (NTU) were recruited to complete a questionnaire on the Dark Triad traits and honesty-humility, either with or without a time gap between measures. It was predicted that temporal spacing will cause a significant change in the correlations between Dark Triad traits. Thus, it was hypothesised that there will be a significant difference in the correlations between the Dark Triad traits in the group that had temporal spacing versus the group without. The correlations between the Dark Triad traits and honesty-humility were also studied and was hypothesised that there will be a significant correlation between the Dark Triad traits and honesty-humility. Results did not find statistically significant results for the hypotheses on temporal spacing, but it found statistically significant results to support the correlational hypothesis. Findings from this study has contributed to the ongoing discussion about common method variance in Dark Triad inventories and the potential impacts of temporal spacing. Future recommendations were provided to further investigate the methodological impacts when studying the Dark Triad and honesty-humility.Bachelor's degre
Mirage: emotional and practical considerations in production design
In a heavily thematic film, production design is vital in creating compelling visuals that evoke the intended emotions in audiences. My aim as the Production Designer of Mirage (2025) was to contribute to the delivery of the film’s messaging through building appropriate environments and curating the dressings of the characters.
The scale of the production was bound to be intimidating in order to do justice to a story as complex as this; with two main and two side characters, five locations, and four shoot days to prepare for within a month, meticulous care and thought was invested into planning the production design. Covering the processes of research, set design, and wardrobe, hair, and makeup, this paper details the considerations made to build the visuals of Mirage.Bachelor's degre
The day the music died at the Shangri-La as US projects hard power
United States Defence Secretary Pete Hegseth took centre stage at the recent Shangri-La Dialogue in Singapore. But his assertive calls for countries in the Indo-Pacific region to ramp up their military spending in the face of a "gathering and imminent" threat from China raised more doubts about the US commitment to, and strategy for, enhancing peace and stability in the region.Published versio
Fabrication and optimization of bi-stable structures for switchable configurations
Bistable structures have piqued the interest of many researchers and engineers all over the world. Fabricating a bistable structure using additive manufacturing means, like 3D printing, to produce linear displacements as one of the objectives has proven to be a challenge. Many factors like the types of additive manufacturing used, the material or resin used, the thickness of beam, the angle of beam, the types of buckling modes, and many more will affect the outcome of the bistable structure and its properties.
This project explores the design, fabrication, and optimization of a 3D printed bistable structure for switchable configuration. Bistable structures are unique for their ability to maintain stability at two distinct equilibrium states with the absence of continuous energy input. Bistable structure offers multiple applications in robotics, medical devices, smart adhesion systems, and many more. This study employs MSLA 3D printing with Tough 2000 resin to produce a bistable structure that efficiently demonstrates snap-through buckling (STB) as a means of transitioning from one state to the other. The approach for this project utilizes Finite Element Method (FEM) simulation to simulate the reactions of a structure when under load. A physical compression test was also done to obtain quantitative data on the bistable structure. Key challenges and recommendations for future studies were also addressed in this report. The final design of the bistable structure demonstrates great bistable properties and snap-through buckling. In the final part of the report, an application for the bistable structure is proposed and a design for proof of concept is presented.Bachelor's degre
Development of novel seepage cut-off walls for coastal protection
Cut-off walls, typically composed of bentonite and a binder, is crucial in mitigating seawater
intrusion in high-permeability soil layers. However, conventional binder, Portland cement,
exhibits poor durability in seawater and high environmental impact. Therefore, this study
investigates a durable and sustainable binder for seepage cut-off wall, which compose of
magnesium oxide (MgO) and carbide slag (CS) in activating ground granulated blast furnace slag
(GGBS). The report evaluates the impact of different MgO to CS ratios on flowability, pH, dry
density, unconfined compressive strength (UCS), and permeability of MgO-CS-GGBS-bentonitesand mixtures in distilled water and seawater environments. The results revealed that increasing
the CS content in distilled water-mixed samples increased flowability significantly due to calcium
ion-induced cation exchange reactions. Seawater-mixed samples experienced a reduced
flowability control across all ratios. With rising CS content, distilled water-mixed samples at all
curing ages showed a consistent increase in strength. However, for seawater-mixed samples,
before seawater exposure, the highest UCS was found in samples having higher MgO ratio; after
seawater exposure, UCS peaked at an MgO to CS ratio of 8:2, demonstrating an optimum mixture
of MgO and CS activators in resisting seawater. Furthermore, increasing CS content raised
permeability for samples in distilled water. Samples in seawater showed higher permeability at
both high MgO and high CS ratios, with the lowest permeability found at MgO:CS ratios of 8:2
and 7:3. The findings suggest that a combination of MgO-CS-GGBS binders provides an optimum
performance of seepage cut-off walls, particularly in seawater environments, offering a
sustainable alternative to conventional binders.Bachelor's degre
Energy-efficient clustering of underwater wireless sensor networks
Underwater Wireless Sensor Networks (UWSNs) have become essential tools for
environmental monitoring, oceanographic data collection, and disaster prevention.
However, the limited energy resources of sensor nodes and the high cost of
underwater communication present significant challenges. This project proposes a
SoftMax-guided cluster head (CH) selection algorithm to minimize energy
consumption in a 3D UWSN environment. The network is simulated with 100
statically deployed nodes and five initial CHs. A probabilistic optimization strategy is
used to iteratively replace CHs, either one at a time or all at once, depending on the
chosen method. Each new configuration is evaluated based on total energy
consumption, and a SoftMax function is applied to guide CH selection based on
energy gains. Simulation results show that the one-swap strategy offers stable and
gradual energy improvements, while the full-swap strategy achieves greater energy
savings at the cost of increased variability. Compared to traditional clustering
methods like LEACH, DEEC, and Co-UWSN, the proposed approach provides a
more adaptive and low-overhead solution suitable for energy-constrained underwater
environments. This work demonstrates the potential of SoftMax-based clustering in
extending UWSN lifetime and improving overall network efficiency.Bachelor's degre
An investigation of arch action in reinforced concrete beams
Reinforced concrete (RC) beams are important structural elements in civil engineering. A critical
function of these beams is resisting shear forces, and consequently, understanding their shear behaviour
has been a significant focus of research. As current design codes like Eurocode 2 don't explicitly include
the contribution of arch action to shear resistance, this project aims to investigate the arch action
mechanism in RC beams and quantify its influence on overall shear strength
This project uses Finite Element Analysis (FEA) to reproduce the behavior of RC beams, varying stirrup
size, yield stress, and longitudinal reinforcement to identify trends and correlations related to arch
action. The detailed simulations provide insights into the mechanics of arch action. Results indicate
that closely spaced stirrups restrict crack propagation, promoting arch action. While increased
reinforcement area and yield stress generally enhance the arch action coefficient (α), excessively high
yield stress can increase rigidity, inhibiting crack development and consequently reducing α. These
findings contribute to a deeper understanding of shear resistance in RC beams and have the potential to
optimize its structural design.Bachelor's degre