TECH OFFERS

As governments and financial institutions take bold steps to reduce their impact on the environment, organizations of all shapes and sizes face immense pressure to accelerate their sustainability journey and reduce their carbon footprint. Most organizations currently rely on consultants and spreadsheets to calculate their carboon footprint using data that is up to a year old. This technology offer is an Artificial Intelligence (AI)-powered Software-as-a-Service (SaaS) platform that integrates with key enterprise IT systems and other platforms to obtain live activity data across the value chain. The technology is applicable across industries and provides better visibility into the organization’s footprint and reduces the time required to generate disclosure report by up to 90%. The technology owner is looking for partners and collaborators in the Energy, Oil & Gas, Manufacturing, and Logistics industries to conduct pilot projects and further develop the niche industry requirements of the products.

Today, up to 95% of hydrogen (H2) produced is termed grey H2 as it is formed via steam methane reforming (SMR) using fossil fuels such as natural gas. This hydrogen is used in producing everything from fuels to plastics and is aptly named grey H2 as the carbon dioxide (CO2) from this reaction is expensive to capture and is often released or sent to the stack to be burnt off. With the global net-zero CO2 emissions target looming, there is an urgent need for technologies that can improve the efficiency of processes using grey hydrogen and economically capture the released CO2 making grey H2 into blue H2. This technology offer is a hydrogen separation membrane that reduces the cost of hydrogen purification and carbon capture. It is a temperature and corrosion-resistant membrane that is able to selectively filter out H2. By splitting syngas into H2 and CO2-rich streams, it simultaneously purifies hydrogen and pre-concentrates the CO2 for transport and sequestration. Furthermore, there is an additional benefit that waste H2 can be inexpensively recovered to improve the overall process efficiency. Hydrogen plants incorporating this technology now produce blue H2 and can generate additional income through higher efficiencies, hydrotreater margins, and carbon credits. The technology owner is seeking partners and collaborators, especially those in the oil and gas refineries or other H2 intensive industries, for pilot trials of their technology.

Wine production has been a regional business near vineyard. Nevertheless, it is highly dependent on the geographical and climate of an area, for places where climate is not suitable for the growth of wine grapes, production of grape wine is costly or unavailable. On the other hand, tropical countries with ample production of a variety of fruits have to deal with wastage and economical loss as unsold fruits rotten. Dragon fruit (also known as pitaya or pitahaya) is a widely cultivated in many Southeast Asian countries. It is commonly consumed fresh or used for juice and puree production. The processing of dragon fruit into clear juice is difficult on an industrial scale due to its significant content of mucilaginous polysaccharide substances present in the flesh. The present invention seeks to address these problems by providing a method to produce a dragon fruit-derived alcoholic beverage using non-Saccharomyces yeasts fermentation. The resultant red dragon fruit beverage has lower alcohol concentration, appealing red-purple colour, pleasant fruity taste and aroma with a high concentration of natural antioxidants from the flesh pigment (betalains).

Data centres in Singapore consume about 7% of the electricity generated annually. A large proportion of the energy consumption (~50%) is for the cooling system necessary to keep the servers operating reliably under Singapore’s hot and humid ambient conditions. Current cooling systems rely on energy-demanding chillers and computer room air handlers to produce cold air which is passed through the IT equipment to mitigate the heat generated via sensible cooling. The technology owner has developed a spray cooling system that aims to eliminate the need for chillers and reduce the energy requirements of the other associated equipment in the data centre cooling application. The spray cooling system uses dielectric coolant which is dispersed in small droplets through a spray nozzle that directly impinges on electronic components and absorbs heat from the operating heated server by evaporative or droplet impingement cooling mechanism. The vaporised coolant is then recovered by a condensing coil cooled by ambient temperature water (i.e. no cooling required by chillers) from a cooling tower, through which the heat is rejected to the environment. The technology owner is seeking industry partners to co-develop and pilot the technology for data centre applications and in space or equipment that require high heat load cooling applications.

Most existing training applications offer good programmes for guiding users to achieve individual fitness goals, some even come with guided video workouts led by professional trainers. However, such applications lack or have limited capability to assess whether the correct posture is maintained during exercise - poor posture can reduce exercise effectiveness and may even cause injury, e.g. arched back during push-ups. This solution is a synergistic combination of video/image processing, human pose recognition, and machine learning technologies to deliver a solution that addresses the twin challenges of accurate count and correct execution of exercises in an automated manner, without having to wear any additional hardware/sensors. The software-only solution is able to advise users on the correct execution of repetitive movement sequences, e.g. sit-ups, and push-ups, and is deployable on a wide range of affordable camera-enabled hardware devices such as mobile phones, tablets, and laptops, and it can be easily integrated into existing applications to enhance functionality. It is applicable to the sports and healthcare industry to help users perform exercises correctly and effectively in an unencumbered manner.

Existing publicly available datasets, such as COCO, are built from the ground up to be general-purpose and therefore lack domain specificity. When such public datasets are used to train deep learning models for industrial use-cases and applications, e.g. detection of electronic components, they often result in sub-par performance caused by the disparity between objects typically found in industrial environments and data residing in public datasets. This disparity requires significant effort in pixel-level supervision (annotation), where each pixel, per frame, has to be annotated manually to make up for the difference in training data to improve model performance This solution is a deep-learning-based technique for instance segmentation in industrial environments intended to reduce the effort cost of annotation from pixel-level to video-level. With instance segmentation, the goal is not just to detect and localise objects within a scene, but also to determine the different classes and number of instances (or recognising more of the same type objects as different). This aids scene understanding and the resulting model can be deployed for productivity measurement or process improvement. Incremental learning is used to ensure that only the parts of the model that need to be updated with new data are changed, thus reducing the amount of time taken for re-training and model updates.

Demand for wireless communication is ever-increasing. However, the frequency spectrum is a scarce resource that cannot be created. This has resulted in an issue commonly known as "spectrum crunch" -- a phenomenon where demand for spectrum outpaced supply that resulted in congestion and drop in wireless communication quality. Ironically, measurements done at many places globally concluded that spectrum utilisation was only around 5-15%. This calls for a need to use next-generation technologies to utilise spectrum in an innovative manner in order to ensure sustainability. TV White Space (TVWS) is the first technology that uses spectrum dynamically. It is able to find pockets of unused spectrum dynamically and utilise them for communication. Thus, significantly improve spectrum utilisation. TVWS is also known as Super Wi-Fi as it covers much larger range than Wi-Fi. TVWS can also be touted as the next "sharing economy" in the spectrum. Its concept is similar to Uber or Airbnb where resources (in this case spectrum) are shared whenever or wherever they are not utilised.

With the rapid pace of digitalisation, many existing systems and processes are becoming increasingly complex. Many users find themselves struggling to achieve their desired outcomes due to a wide variance in digital proficiencies; what is intuitive to one user may not be intuitive to another. Simply put, it is not possible to build a User Interface (UI) that is completely intuitive for every user profile i.e. no one-size-fits-all interface. Similarly, many Frequently-Asked-Questions (FAQs) and user guides are poorly maintained or are written in a manner that is too generic with little to no consideration of a user's role or level of proficiency. This technology offer is a no-code solution that can be deployed on websites to provide just-in-time (JIT) tutorial-style overlays which bridge the gap between digital workflows and human usage. These customisable overlays serve as guided walkthroughs to simplify employee onboarding and/or provide external users with a curated customer experience (CX). With this solution, highly re-useable, step-by-step Standard Operating Procedures (SOP), user manuals, and interactive guides can be easily created to provide clear, simple instructions for end-users to receive assistance when needed, this in turn, improves their understanding of proper software product usage and provide a painless user interface experience.

Through its proprietary encapsulation technique, the company converts a wide range of household chemicals, especially those in liquid forms, into solid, concentrated, water dispersible, single-use dosages that are completely water and plastic free. They can be easily diluted with water prior to use and ensure consumers do not use too much of the product, fulfilling consumers’ expectations for sustainability and user-friendliness. The company seeks partnership with consumer goods companies for a joint development of new home care products, putting together their competency in encapsulation technology and the partners' expertise in the actives and applications.