With the increasing demand for Electric Vehicles (EVs) and growing competition, it has become imperative for original equipment manufacturers (OEMs) and battery pack manufacturers to continually improve range, lifespan and charge rate without compromising safety of EVs. An integral part of this process is ensuring that the battery stays within the
With the large number ofAutonomous Vehicle (AV)& intelligent transportation systems (ITS) developments and trials it is expected that Singapore will be one of the first countries in the world where Autnomous Vehicles will be deployed on a large scale. What will be the effect of such deployments and implementationson traffic scenarios? We developped
This novel and environment-friendly modified titanium oxide (TiO2) photocatalyst enables the degradation of 4-chlorophenol through visible light. According to the United States Environmental Protection Agency, 4-chlorophenol is a primary water pollutant owing to its potential as a carcinogen to mammals and aquatic life. This pollutant typically com
Conventional diagnostic imaging of the skin involves the use of dermatoscopes. Dermatoscopes use skin surface microscopy to examine dermal and sub-dermal tissues to diagnose skin problems. However, these devices can be costly and provide a limited view of the immediate skin surface. Furthermore, dermatoscopes have to be used in direct contact with
In order to convert MSWI fly ash into useful materials, the toxic heavy metals in the ash has to be removed or stabilized. The current technologies such as electrochemical, sintering and vitrification have many limitations, i.e. high cost, high-energy consumption and the generation of more waste. Our technology is featuring a practical, scalable, l
We have developed a unique algorithm with a suite of software tools to enable the use of Artificial Intelligence (AI), specifically deep learning, for sparse, or noisy data, that is typicaly found in experimental research and development environments. Our core software encapsulates a new algorithm and architecture for deep learning that allows very
Most Internet of Things (IoT) or cloud based solution require extensive software coding and setup of various IoT modules. Our platform takes away all these developmental work, and let the users focus on their core product and services. Even in post-deployment, very often additional cost and effort is required for software modifications or sensors r
Metal-organic frameworks (MOFs) are among the most attractive porous materials known today. Their high surface-to-mass ratio makes them extremely useful in many processes, from gas sorption, storage and separation, to catalysis, drug delivery and heat exchange. Typically, they are modified post-synthesis (PSM) to optimise their chemical functionali
The technology described herein is related to the development of a energy optimisation software using various machine learning techniques to improve the overall chiller plant system efficiency.The Support Vector Machine (SVM) algorithms is applied to develop models for predicting chiller plant performance under various operating conditions while th
During an epidemic or pandemic outbreak (SARS, COVID-19), temperature checks are usually carried out as a precautionary measure before allowing any one to enter a public facility or office building. Inevitably, long queues will be formed, especially during peak hours or when common thermometers are limited. This wearable temperature badge overcomes
Recycling or refurbishing of lithium-ion batteries is crucial in tackling the challenges of climate change and air pollution. While there is the demand for batteries to have more capacity and longer life cycles, lots of time and investment are also required to dismantle and recycle batteries. Precious metal, such as Lithium, needs to be saved while
There is currently many karyotyping software for identifying and evaluating the number, shape and size of chromosomes in a sample cells to detect extra or missing chromosomes, or abnormal positions of chromosome pieces from an image. However, using this kind of software requires well-trained technicians with at least a year's worth of experience. T
AEvice Health (Singapore) develops wearable monitoring devices that can analyze acoustic signals emanated from lungs, therefore providing valuable information that can facilitate faster diagnosis and achieve better patient's outcome Key Facts 1. Asthma affects 266 million children globally. This is expected to further increase by 30% to 345 million
The invention liberates users of heaters from the constraints of fixed shapes and sizes predetermined by the flexible heater manufacturers. Our technology, in the form of an electrical device, is an integration of composite material science and electrical engineering which enables product designers and engineers to unleash their creativity and redu
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