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Maritime carbon emissions are a significant contributor global climate change. The maritime industry faces increasing pressure to comply with stringent carbon emissions regulations from entities like the European Union (EU) and the International Maritime Organization (IMO). Traditional compliance methods are often manual, time-consuming, and prone to errors, leading to increased operational costs and the risk of hefty non-compliance penalties. This technology is an artificial intelligence (AI) powered platform that automates data collection, emissions calculation, and regulatory reporting for maritime carbon compliance. Seamlessly integrating with existing vessel data systems, it utilizes advanced machine learning algorithms to provide real-time tracking of carbon emissions and Carbon Intensity Indicator (CII) performance across entire fleets. The AI-platform also automates the parsing and extraction of data from various document formats using cutting-edge natural language processing (NLP) and machine learning technologies, adapting to unstructured and semi-structured data without the need for predefined templates. The technology owner is interested to work with Singapore companies in the maritime sector to testbed the technology and support activities on effective carbon footprint management. The team is also seeking co-development projects on the proprietary AI platform for automated document processing and data extraction across various industries. This patent-pending technology is an AI-powered data collection and processing system capable of handling various data formats from ship operations. Features of this platform for include: Automated Data Integration: Connects with various vessel data sources to extract operational and fuel consumption data without manual input Advanced Emissions Analytics: Calculates emissions in real-time, adhering to EU ETS, IMO DCS, and CII standards EUA Management Module: Simplifies the handling of EU Allowances transactions Predictive Modelling: Uses machine learning to forecast emissions and CII ratings based on operational changes API Accessibility: Provides RESTful APIs for seamless integration with existing enterprise systems Robust Security: Ensures data protection through encryption and compliance with international data regulations Scalability: Designed to accommodate fleets of all sizes with customizable features Additional features of the AI document parsing component include: Versatile Data Handling: Processes PDFs, images, handwritten text, and speech-to-text conversions Advanced NLP Algorithms: Understands context to extract relevant data accurately Machine Learning Adaptability: Learns from each document to improve over time Security Compliance: Meets GDPR standards with end-to-end encryption API Integration: Easily connects with ERP, CRM, and other enterprise systems User-Friendly Dashboard: Allows for easy monitoring and management without technical expertise This technology can be deployed by stakeholders in the maritime sector including (but not limited to): Global Shipping Operations: Streamlining compliance for vessels operating in international waters Fleet Management: Enhancing operational efficiency and sustainability across entire fleets Regulatory Agencies: Assisting in monitoring and enforcing emissions regulations Maritime Logistics Firms: Integrating emissions data for comprehensive supply chain management The AI document parsing technology is also suitable for adjacent sectors such as: Financial Services: Automating loan applications, compliance documents, and financial reporting Healthcare: Streamlining patient data entry, billing, and insurance claims Legal Industry: Simplifying contract analysis and due diligence processes Supply Chain Management: Enhancing data accuracy in inventory and shipping documentation Holistic Solution: Integrates compliance management with operational optimization in one platform and eliminates the need for manual template creation, saving time and resources Real-Time Monitoring: Empowers companies to make immediate adjustments to stay compliant with quick integration into existing systems User-Friendly Interface: Simplifies complex regulatory requirements into actionable insights and capable of handling industry-specific documents with minimal customization maritime, logistics, carbon footprint, carbon emissions, greenhouse gas, carbon, sustainability, scope 3, carbon management, artificial intelligence, blockchain, shipping, vessel management, port, digital transformation, operational efficiency, AI document parsing, data extraction, automation, natural language processing, machine learning, document processing Infocomm, Artificial Intelligence, Natural Language Processing & Semantic Technology, Logistics, Transportation, Sustainability, Low Carbon Economy

With rising concerns over environmental pollution and energy shortages, it is crucial to explore alternative green energy sources. Hydrogen stands out as a promising option, especially its use in proton exchange membrane (PEM) fuel cells. PEM fuel cells offer high efficiency, durability, and pollution-free operation, making them ideal for transport applications and stationary on-site power generation. However, despite their advantages, PEM fuel cells face challenges, including scaling multi-stack systems for large applications, optimising the performance control systems to maintain efficiency, and improving affordability and long-term durability for widespread adoption. To address the challenges and meet high-power demands, the technology owner has designed a patented multi-stack PEM fuel cell system after more than a decade of iterative development. This highly optimized air-cooled system features patented innovations in stack design, optimised assembly processes, and an advanced performance boost control system. The system delivers 2-3 times higher energy density compared to lithium batteries and allows rapid refuelling in just a few minutes. These qualities make it ideal for applications where a lightweight, efficient, and clean energy source is essential, such as drones, telecommunications, and remote power supplies, as well as environments sensitive to air pollution. The technology owner is seeking collaboration with industrial partners, particularly companies interested in manufacturing fuel cells, developing fuel cell systems, creating customised fuel cell applications, or engaging in joint R&D for fuel cell system innovation. Power Range: A single fuel cell stack provides a power output ranging from tens of watts to a few kilowatts Suitable for a wide range of applications with flexible and scalable power needs Multi-Stack Design: System's capacity can be significantly increased by combining multiple stacks, enabling higher power output for more demanding applications Power Density: Achieves a power density of approximately 1-1.5 kW/kg Ideal for weight-sensitive applications that require a highly efficient power-to-weight ratio Quick Refuelling: System can be refuelled in just a few minutes, ensuring minimal downtime and continuous operation This lightweight PEM fuel cell system is designed for weight-sensitive and remote power applications, offering an efficient alternative to traditional generators and lithium batteries. Potential applications include, but are not limited:  Drones and Unmanned Uerial Vehicles (UAVs): Fuel cells significantly reduce system weight, extending drone flight times from minutes to hours - up to three times longer than lithium battery-powered drones. This is particularly ideal for industrial uses like: Inspection Security Surveillance where extended flight duration is critical Remote Power Supply: The system provides reliable power for remote sites, off-grid and backup, efficiently powering low to medium equipment. It serves as a practical alternative to generators, especially in areas where consistent electricity or low emissions are required, such as: Remote communication towers Emergency power systems Portable or Light Vehicle Power: By extending runtime and range without frequent recharging, the fuel cell system reduces downtime and eliminates charging-related risks. It is particularly suitable for: Centralized locations (e.g., ports, airports, large warehouses) where continuous operation is crucial Portable off-grid power solutions due to the lightweight design Powering light vehicles Our technology offers distinct advantages that set it apart: Optimized Fuel Cell Design: Over a decade of iterative development has led to a highly optimised air-cooled fuel cell system. From stack component design to assembly processes and operational control, every aspect has been optimized, resulting in significantly higher power density compared to conventional systems Zero Emissions: Leveraging the inherent nature of fuel cells, this solution delivers clean energy with zero emissions, making it an environmentally friendly alternative Ideal for Weight-Sensitive Applications: The combination of the lightness of hydrogen with advanced fuel cell technology offers a significant advantage for weight-sensitive applications where a long-lasting, clean power source is critical PEM Fuel Cell, Hydrogen Energy, Fuel Cells, Electronics, Power Management

Materials play a crucial role in the development of metallic products, but traditional alloying methods face significant challenges due to rising costs and the limited supply of key materials, such as copper, which has experienced a price increase of over 60% in the past decade. Additionally, conventional melting processes, such as resistance heating, are often constrained by poor temperature control, uneven heating, and high energy consumption, leading to inconsistent alloy quality and increased production costs. Addressing these issues is essential for improving the economic viability and environmental sustainability of engineering projects. This technology introduces a novel approach that combines unconventional alloying concepts with induction melting to overcome the limitations of traditional methods. By employing multiple high-content alloying elements, this method enables the creation of alloys with unique and enhanced properties that go beyond what is possible with traditional single-element alloys. Induction melting results in uniform heating, reduced energy consumption, and enhanced alloy quality, significantly improving the production process. The technology is capable of developing specialized alloys, such as light metal alloys, while addressing the pain points of material and production costs and environmental sustainability. Specifically, the developed alloys offer microhardness of 95-100 Hv, tensile strength of 305-320 MPa, and an excellent strength-to-weight ratio, providing a competitive alternative to conventional materials like copper and brass. The technology owner seeks collaborations with industry players in appliance manufacturing, aerospace, automotive, construction, and electronics to co-develop and commercialize these advanced resistive heating applications.  Processing Accurate Heating: Induction heating allows for highly accurate and rapid temperature control, essential for melting and alloying processes involving multiple elements. Uniformity: The advantage of adopting an induction furnace is that it is a clean, energy-efficient and well-controlled melting process, compared to most other means of metal melting, thus reducing the risk of segregation or uneven melting. Efficiency: Induction heating converts electrical energy directly into heat within the metal, minimizing energy loss. This can lead to lower operating costs and a smaller environmental footprint. Versatility: Induction heating can be used to melt a wide variety of multicomponent alloys, from simple binary alloys to complex ternary or quaternary compositions. It can handle metals with varying melting points and electrical conductivities. Materials Enhanced Properties: By combining multiple elements, it's possible to achieve superior properties like increased strength, corrosion resistance, heat resistance, or electrical conductivity. Tailored Performance: The precise composition of a multicomponent alloy can be adjusted to meet specific requirements, making them versatile materials for a wide range of applications. Advanced Processing: The use of induction melting can provide the requirement of proper mixing and homogeneity for this type of complex alloys. Multicomponent alloys, due to their tailored properties and superior performance, have a wide range of potential applications across various industries: Aerospace: Lightweight alloys for aircraft structures to reduce weight and improve fuel efficiency. Automotive: High-strength alloys for vehicle frames and other structural components. Lightweight alloys for body panels, wheels, and other components to improve fuel efficiency. Construction: High-strength alloys for buildings, and other structural components. Corrosion resistant alloys for marine structures, piping, and other applications exposed to harsh environments. Electronics: Conductive alloys for electrical connectors, wires, and other components. Tailored Properties: Multicomponent alloys provide highly customizable compositions, allowing precise tuning of properties like strength, weight, conductivity, and corrosion resistance to meet specific application needs. Superior Performance: These alloys offer significant improvements over traditional materials, such as enhanced strength, corrosion resistance, and thermal stability.  Induction Melting, Metal Alloys, Multicomponent Alloys Waste Management & Recycling, Industrial Waste Management, Sustainability, Low Carbon Economy

This software is a cutting-edge artificial intelligence-based management solution, designed to transform the landscape of professional sports through advanced performance analytics and optimization. This versatile technology is a comprehensive system comprising three innovative modules: MONITOR, EVALUATE, and COACH, each tailored to address the pivotal challenges in sports management—athlete well-being, resource optimization, and tactical decision-making. The software is poised for application across a broad spectrum of sports, promising to equip professional teams with the tools necessary for sustaining peak performance, ensuring athlete health, and securing a competitive advantage. We are actively seeking partnerships with sports teams, technology firms, and academic institutions to further develop and commercialize this groundbreaking solution. AI-SPOT not only signifies a leap forward in sports management technology but also offers a scalable model for future advancements in athlete performance optimization. It introduces a paradigm shift in sports analytics by integrating advanced artificial intelligence to offer unprecedented insights into athlete management, performance optimization, and strategic decision-making. This technology sets a new benchmark over existing solutions with its innovative approach to athlete load monitoring, injury prediction, and match performance analysis, addressing the multifaceted needs of professional sports teams. At its core, the software is engineered to mitigate the prevalent risks of injuries and athlete burnout, employing machine learning to analyze and balance internal and external loads for optimal athlete performance and longevity. Its user-friendly interface allows for real-time adjustments and predictions, ensuring athletes can perform at their peak while minimizing the risk of injury. The EVALUATE Module elevates resource and manpower management by utilizing a rich dataset of historical and projected performance metrics, facilitating strategic decisions that align with the team’s objectives. Through customizable evaluation protocols and cross-validation techniques, AI-SPOT delivers precise and actionable insights. In the throes of competition, the COACH Module shines by providing real-time visual analytics and strategic recommendations based on AI-generated data, enabling coaches to make informed decisions on the fly. This module’s use of Voronoi tessellation for visualizing game dynamics offers unparalleled insights into athlete and team performance. Its robust and versatile technology, validated by diverse datasets from various sources, showcases its wide-ranging applicability beyond traditional sports analytics. Its adaptability and predictive accuracy present a significant opportunity for innovation across multiple sectors. The primary and extended application areas include: Professional Sports Teams: The cornerstone application, where AI-SPOT enhances performance analysis, injury prevention, and tactical decision-making, directly contributing to the success and longevity of athletes. Fitness and Rehabilitation Centers: Utilizing AI-SPOT's predictive analytics for personalized training programs and injury recovery processes, thereby improving client outcomes and service quality. Military Training and Performance Optimization: Applied within the Singapore Armed Forces and similar institutions worldwide, AI-SPOT can optimize soldier training, monitor load to prevent overexertion, and enhance overall combat readiness. Entertainment and Performing Arts Management: In artist management, AI-SPOT can analyze performance stress and optimize schedules to prevent burnout, ensuring peak performance during tours and productions. Educational Institutions and Sports Academies: To develop young athletes, AI-SPOT can provide insights into optimal training loads, performance tracking, and injury risk assessments, fostering a healthier approach to sports education. Sports Medicine and Research: Offering a data-driven foundation for studies on athlete performance, injury prevention, and rehabilitation methods. Wearable Technology Integration: Development of products that integrate AI-SPOT's analytics with wearable devices, providing real-time feedback and insights to athletes and coaches. The solution stands out in the competitive landscape of sports analytics with its integration of advanced machine learning algorithms, offering unparalleled accuracy in injury prediction and performance assessment. This technology not only bridges the gaps found in previous research but also introduces a holistic approach to athlete management and tactical decision-making. Here are the distinct benefits and advantages that define AI-SPOT's unique value proposition: Innovative Aspects: Predictive Analytics for Injury Prevention: AI-SPOT leverages cutting-edge AI to predict the risk of injuries with high precision, allowing teams to implement proactive strategies to safeguard athletes. Comprehensive Performance Assessment: Beyond traditional metrics, AI-SPOT analyzes both tangible and intangible factors affecting performance, providing a 360-degree view of an athlete's contribution. Real-time Tactical Decision Support: The COACH Module empowers coaches with actionable insights during games, enhancing strategic decisions with data-driven confidence. Key Advantages for Users: Enhanced Athlete Longevity and Well-being: By accurately predicting injury risks and optimizing training loads, AI-SPOT contributes to the health and career longevity of athletes. Strategic Resource Allocation: The EVALUATE Module aids in the intelligent deployment of resources, ensuring that teams can maximize their performance potential efficiently. Competitive Edge in High-stakes Competitions: Real-time insights and tactical analytics provide teams with a strategic advantage, turning data into a powerful tool for winning.   Infocomm, Artificial Intelligence

Lactate monitoring has become an essential tool for optimizing athletic performance by providing real-time insights into the body’s metabolic response during exercise. However, traditional lactate testing methods are invasive and often require laboratory equipment, limiting their practicality for continuous monitoring in everyday training scenarios. This new sweat-based wearable technology offers a non-invasive, real-time solution for continuous lactate detection, solving this challenge for athletes and coaches. By enabling real-time tracking of lactate levels through sweat, this technology helps fine-tune training intensity, prevent overtraining, and improve overall performance. Athletes and coaches can use this data to adjust training regimens, optimize recovery strategies, and refine race-day tactics, pushing performance limits while minimizing risks. The technology owner is seeking collaboration and licensing opportunities with:  Health and wellness product manufacturers,  Sports-related industry partners, including sports training facilities and equipment manufacturers.  This wearable solution addresses the critical needs of the sports and wellness industries, offering an innovative tool for enhancing athletic performance and supporting more precise, data-driven training programs. The sweat-based lactate measurement wearable device brings innovative, non-invasive technology to both the sports and wellness markets, addressing the growing demand for data-driven, personalized fitness tools. By integrating seamlessly into everyday activities and workouts, this technology offers a practical solution for tracking athletic performance. Non-invasive sweat-based patch – Designed for ease of use, the patch can be applied to the skin without causing discomfort.  Hygienic design – The part that collects sweat is disposable, ensuring cleanliness, while the main sensing unit is reusable. Low sweat volume requirement – Unlike traditional testing methods that require significant physical exertion, this patch functions effectively with minimal sweat, allowing it to be used during daily activities (low physical exertion).  Real-time monitoring – The device provides immediate feedback on lactate levels, enabling athletes to adjust their performance strategies on the go.  Personalized data – By collecting and analyzing sweat lactate levels, users can receive tailored insights for optimizing training intensity, recovery, and overall performance. The sweat-based lactate detection wearable device offers a versatile solution for both sports and healthcare markets by providing personalized, real-time data. Key applications include: Athletic Performance – Professional athletes can track lactate levels during training and competitions, enabling precise adjustments to optimize performance and recovery. General Fitness – Health-conscious consumers can use the device to monitor metabolic responses during workouts, improving fitness routines and overall wellness. Sports Equipment Integration – Sports equipment companies can integrate this wearable into their products, combining IoT technology with gear to offer personalized exercise plans and enhance consumer insights. Medical Application - AMI Diagnosis (Potential) – In healthcare, the device could support early detection of acute myocardial infarction (AMI) in emergency settings, offering a non-invasive and rapid diagnostic tool. Bio-Marker Detection (Potential) – With 8 detection channels, the device has potential for broader biomarker monitoring, expanding its use in both sports and wellness. This technology supports the growing trend of integrating IoT capabilities into sports products and further potential into health and wellness. By leveraging this solution, sports equipment companies/ wellness solution providers can enhance their product lines with wearable devices that provide valuable consumer insights. This enables these companies to analyze exercise patterns and offer personalized exercise/ wellness plans, contributing to the broader digital transformation of the sports and wellness industry. Non-invasive, real-time lactate monitoring for personalized performance insights. No blood sample required. Continuous data helps athletes optimize training and recovery. Easy-to-use, minimal sweat requirement, suitable for both athletes and general consumers. Integrates with sports equipment, enhancing IoT-enabled, data-driven fitness products. Potential medical application for early detection of acute myocardial infarction (AMI). Broader biomarker detection capability, expanding future use cases in sports and wellness. This increases the potential of the wearable patch to provide other forms of personalized health data.   Lactate Monitoring, Wellness, Sports, Non-invasive, Sweat-Based Sensor, Personalized Personal Care, Wellness & Spa, Healthcare, Diagnostics, Chemicals, Analysis, Infocomm, Healthcare ICT

The DeepGI system is a cutting-edge AI tool designed to help detecting images captured during endoscopic examinations. Utilizing deep learning models, it can detect abnormalities in both the colon and stomach with over 90% accuracy. This real- time alert system assists medical professionals in identifying polyps with the potential to develop into cancer (neoplastic) and those without such risk (hyperplastic) in the colon. Additionally, it can pinpoint areas in the stomach where precancerous conditions, known as Gastric Intestinal Metaplasia (GIM), may be present. DeepGI is a vendor-unlocked system, compatible with most endoscopic cameras. Technical consist of DeepGI AI software algorithm installed in the medical grade computer include capture card, GPU Technical Features Deep Learning Model: Utilizes a deep learning model trained on a large dataset of endoscopic images. Real-Time Analysis: Capable of processing endoscopic images in real-time during procedures. Multiple Abnormality Detection: Can detect various gastrointestinal abnormalities, including polyps, GIM, and other precancerous conditions. Classification: Can classify detected abnormalities into different categories, such as neoplastic and hyperplastic polyps. Localization: Can pinpoint the exact location of abnormalities within the endoscopic image. Technical Specifications Image Input: Accepts endoscopic images in various formats (e.g., JPEG, PNG, TIFF). Image Preprocessing: Employs image preprocessing techniques (e.g., normalization, augmentation) to enhance image quality and improve model performance. Model Architecture: Specifies the architecture of the deep learning model, including the number of layers, filters, and activation functions. Training Dataset: Details the size and composition of the dataset used to train the model. Evaluation Metrics: Defines the metrics used to evaluate the model's performance, such as accuracy, sensitivity, specificity, and precision. Integration Capabilities: Can be integrated with various endoscopic camera software. User Interface: Provides a user-friendly interface for endoscopists to interact with the system. The ideal collaboration partners in the value chain: medical institution, device manufactures, DeepGI researcher, deep-tech company with marketing channel. The DeepGI technology can be deployed in the healthcare industry specifically within the fields of gastroenterology and oncology. Potential Applications: Early detection of gastrointestinal abnormalities: DeepGI can be used to identify precancerous conditions like GIM and polyps at an early stage, enabling timely intervention and potentially improving patient outcomes. Improved accuracy in polyp classification: The technology can help differentiate between neoplastic and hyperplastic polyps, aiding in treatment decisions. Enhanced endoscopic procedures: DeepGI can assist endoscopists by providing real-time guidance during procedures, reducing the risk of missing abnormalities. Research and development: DeepGI can be used for research purposes to study the development of gastrointestinal diseases and evaluate the effectiveness of new treatments. Potential Products: Standalone DeepGI system: A standalone medical device that can be integrated into existing endoscopy suites. DeepGI as a software add-on: A software module that can be integrated into existing endoscopy systems. Cloud-based DeepGI platform: A platform that allows healthcare providers to access DeepGI as a cloud-based service. Mobile app for healthcare providers: A mobile app that enables endoscopists to access and analyze images captured during procedures. In summary, the DeepGI technology has the potential to revolutionize the field of gastroenterology by improving the early detection, diagnosis, and treatment of gastrointestinal abnormalities. DeepGI represents a significant advancement over current state-of-the-art methods in gastrointestinal endoscopy due to several key factors: Increased Accuracy and Sensitivity: DeepGI leverages deep learning algorithms, which are particularly adept at analyzing complex medical images like endoscopic scans. This enables it to identify subtle abnormalities that may be missed by human experts or traditional computer-aided diagnosis systems. Real-Time Detection: DeepGI is designed to process endoscopic images in real-time, providing immediate feedback to the endoscopist during the procedure. This allows for timely adjustments and reduces the risk of overlooking critical findings. Enhanced Classification: DeepGI can accurately differentiate between benign and malignant polyps, even those with subtle morphological features. This aids in determining the appropriate course of action for patients. Vendor-Agnostic Compatibility: DeepGI is compatible with a wide range of endoscopic cameras from different manufacturers, making it a versatile tool for various healthcare settings. Potential for Reduced Biopsies: By providing more accurate and confident diagnoses, DeepGI can potentially reduce the need for unnecessary biopsies, minimizing patient discomfort and healthcare costs. DeepGI's UVP lies in its ability to improve the accuracy, efficiency, and effectiveness of gastrointestinal endoscopy procedures. By providing real-time, accurate, and comprehensive analysis of endoscopic images, DeepGI offers a significant advantage over traditional methods. This can lead to earlier detection of abnormalities, more appropriate treatment decisions, and improved patient outcomes. Healthcare, Medical Devices

Oxygen enrichment membrane technology is emerging as a promising, cost-effective, and energy-efficient method for producing oxygen-enriched gas (OEG) with oxygen purities of 30-45%. Traditional oxygen production methods, such as cryogenic distillation and pressure swing adsorption, are often costly, energy-intensive, and complex, making them less suitable for applications requiring moderate oxygen enrichment. This innovative technology addresses these challenges through a thin-film composite (TFC) hollow fiber membrane that incorporates a novel use of polydimethylsiloxane (PDMS) as a selective layer on a polyethersulfone (PES) substrate. The PDMS selective layer is applied using a flow coating technique, which is both simple and scalable, allowing for consistent production of high-performance membranes. The technology was upscaled to commercial-sized membrane modules producing 15-53 Nm³/h of OEG with oxygen purities between 31-38%. The membrane system operates at ambient temperatures and pressures, offering significant energy savings and reduced operational costs compared to traditional methods. The benefits of this technology are substantial, including improved cost-effectiveness, enhanced energy efficiency, and flexibility in scalability, making it suitable for a wide range of industrial applications.  The technology owner is seeking collaboration with membrane manufacturers to further scale up this innovative technology, and with end-users who have a demand for oxygen-enriched gas with 30-40% O₂ purity. Two-Piece Module Design: Features a two-piece configuration with central coupling, enhancing compatibility with the TFC membrane and PDMS coating for a uniform, defect-free selective layer. Simplified Maintenance: Allows replacement of only the affected half of the module, reducing maintenance costs. Prototype System: Comprises 20 modules in a containerized skid with an air compressor, wet air receiver, refrigerated air dryer, and scaffolds. Operational Efficiency: Operates at 5 bar, producing OEG at 15-53 Nm³/h with 31-38% oxygen purity. Integration with OEG Gasifier: Replaces part of the liquid oxygen in municipal solid waste gasification, achieving 34.5-45.2 Nm³/h flow rate and over 20% liquid oxygen replacement in a 7-day test. With the ability to generate oxygen-enriched gas (OEG) with oxygen purity levels between 30 to 45% at a low working pressure of 5 bar, the TFC hollow fiber membrane technology offers versatile commercial applications across various industries: Healthcare Sector: Suitable for medical uses that require oxygen purity levels of 30 to 40%, such as oxygen therapy and respiratory support. Wellness Industry: Applicable in nitrox diving, oxygen bars, and training rooms, where controlled oxygen environments can enhance user experience and performance. Combustion Manufacturing Sectors: Ideal for furnace combustion, wastewater incineration, and petrochemical processes that benefit from oxygen-enriched air with 25 to 35% oxygen purity, leading to improved combustion efficiency and reduced emissions. Aquaculture Industry: Used for aeration in recirculating aquaculture systems (RAS), enhancing oxygen levels in water to support healthier and more productive aquatic environments. Additionally, the technology produces a pressurized nitrogen-enriched retentate stream of nitrogen purity greater than 85%. This nitrogen-enriched gas stream can be utilized in: Chemical and Oil & Gas Industries: Employed as an inert purge gas to prevent combustion and oxidation reactions during various processes. Food and Refinery Industries: Used as a blanketing gas to protect sensitive products from oxidation, moisture, or contamination, ensuring product quality and safety.  These diverse applications highlight the technology's flexibility and potential to enhance operational efficiency, safety, and sustainability across multiple sectors. Cost-Competitive for Moderate O₂ Purity and Lower Flow Rates: Offers clear cost advantages for applications requiring OEG with 30-40% oxygen purity and flow rates below 1200 Nm³/h, making it ideal for retrofitting existing plant. Low Operating Pressure: Generates OEG at a lower pressure of just 5 bar, compared to 7-14 bar for existing technologies, enhancing safety and reducing operational costs. Easy Installation and Low Set-Up Costs: Simple to install with minimal upfront investment, reducing barriers to adoption. Quick Start-Up: Delivers oxygen-enriched gas of the required purity immediately upon start-up, improving operational efficiency and responsiveness. Modular and Flexible Design: The modular system allows customization to meet a wide range of OEG demands, providing flexibility in application across various industries. Low Maintenance and Easy Operation: Requires minimal maintenance, simplifying operations and reducing downtime. Portability: Can be designed as a portable system, enabling on-site oxygen generation for diverse applications. membrane, air separation, oxygen enriched gas, hollow fibres Chemicals, Polymers, Sustainability, Sustainable Living, Low Carbon Economy

Faced with the increasing levels of carbon dioxide, carbon capture, utilisation, and storage (CCUS) technologies have garnered significant attention. However, as most CCUS technologies rely heavily on various forms of monetary support from governments and faced numerous technical and scalability challenges, most of the CCUS facilities developed are unable to achieve financial profitability or even achieve a net reduction of carbon dioxide (CO2) emissions. The technology proposed herein relates to an electrochemical-based CO2 reduction reaction process, which can directly capture and convert CO2 to carbon nanotubes (CNTs), a high-value material that exhibits unique electrical and thermal properties suited for applications in various sectors, including electronics, energy storage, sensors and medical uses. In contrast to synthesis methods that involve complex reactions and expensive catalysts, the proposed method uses a molten salt chemistry that can convert CO2 to cathodic solid carbon nanotubes (CNTs) via the electrochemical process. Although high reaction temperature (about 760 degC) is required, this method is highly controllable and uses cost-effective pure iron catalyst, producing high quality CNTs at a relatively high production rate. Based on preliminary process modeling and technoeconomic analysis, this technology has the potential to be completely CO2-negative without re-emission, is more scalable, and profitable with high quality CNT materials. The technology owner is seeking to collaborate with industry partners and research institutions for joint R&D to advance the lab scale technology to pilot or event industrial production scale, as well as to explore applications for the CNTs produced. Upon further development, the system has the potential to be integrated with existing carbon capture systems to improve their financial viability and achieve carbon negative objective. The molten salt CO2 reduction reaction enables CO2 conversion into high value nanostructured CNTs, which captures carbon as a solid and stable material, complementing other processes that convert CO2 into combustible fuels. Provides a highly controllable production method, using cost-effective pure iron (Fe) as a catalyst and lithium carbonate (Li2CO3) based electrolyte. The electro-reduction reaction and CNTs produced exhibits good graphitization degree (0.24 ID/IG intensity ratio), high Faradaic efficiency (~80%), with a high production rate (~58 gCNTs gFe-1 h-1). Based on a preliminary process modeling and technoeconomic analysis, the system may potentially achieve a profitable CO2 utilisation, subject to further scale up and detailed studies. Energy Storage: The high-quality CNTs produced could be utilised in next-generation batteries and supercapacitors, enhancing energy storage capacity and charging speeds. Aerospace and Automotive: Lightweight, strong CNT composites could be developed for use in aircraft and vehicle manufacturing, improving fuel efficiency. Construction: CNT-reinforced materials (such as CNT-reinforced concrete) could lead to stronger, lighter building materials with improved durability and insulation properties. Environmental Remediation: The technology itself serves as a carbon capture solution, potentially deployable near industrial CO2 emission sources. Textiles: CNTs could be incorporated into smart textiles for wearable technology applications. Water Purification: CNT-based filters could be developed for advanced water treatment systems. The carbon nanotube (CNT) market is projected to grow from USD 1.1 Billion in 2023 to USD 2.3 Billion by 2028, at a CAGR of 14.6% between 2023 and 2028. This proprietary electro-reduction process has the potential to achieve a net reduction of CO2 emissions without re-emission, offering an efficient and scalable CCUS solution, while producing high value CNTs material for various industrial uses. The process allows for CNTs to be produced with higher purity and quality than was previously possible from CO2. CCUS, CNTs Sustainability, Low Carbon Economy

Acknowledging the importance of high-quality data, this project aims to revolutionize data lifecycle management in the AI to improve data accessibility, collaboration, and commercialization. The solution enables (i) efficiently clean, process and extract valuable data assets from high volumes of mass data, and (ii) contribute and commercialize high-quality data assets without disclosing the actual data. DataS comprises three pillars: (1) GLASSDB serves as an end-user database, including add-in tools for data cleaning, visualization, security, aiding data owners in preparing data for future transactions. (2) Apache SINGA offers a powerful machine learning library to allow users to efficiently apply or develop AI models on their data. (3) Falcon enables privacy-preserving federated learning. It allows multiple parties to develop AI applications using joint data without compromising privacy. This technology uses a zero trust, three-layer design to ensure security and flexibility in data handling and AI development: Falcon Federated Learning: Enables secure collaboration without sharing data. Supports various models (deep neural networks, LLMs, SVMs) and frameworks (TensorFlow, PyTorch, etc.). Handles structured, semi-structured, and unstructured data. Apache SINGA: Scalable deep learning for healthcare applications. Supports data visualization, cleaning, extraction, and distributed training. ForkBase: On-premise data storage with version control. Features data obfuscation tools (pseudonymization, anonymization, synthesization) for enhanced privacy. This solution is ideal for industries needing advanced AI with stringent data protection, especially healthcare. AI requires good quality data and representative data, but privacy and security are the concern. we help you to unlock the power of data and collaboration, in a privacy-preserving and compliant way. Our solution works for Data exchange activities in any industry. Now we focus on financial, medical and legal data. We are the first solution that integrate data extraction, AI application and data collaboration in a single database. It helps our clients to commercialize their data asset easier, cheaper and more secure. Infocomm, Artificial Intelligence