Digital Commons Network^™

Quantum Smart Entangled Fusion Reactor, Peter Branton

Defensive Publications Series

The invention relates to a compact, high-efficiency energy generation system employing

quantum-entangled hydrogen isotope fusion within nanoscale confinement structures. It

comprises a multiplicity of individually controlled fusion traps formed at nanometer scale, each

configured to receive pre-entangled pairs of hydrogen isotopes such as protium, deuterium, or

tritium. Each trap is stimulated by attosecond-timed electromagnetic resonance pulses to induce

fusion via quantum tunneling. Fusion events are monitored and optimised through an integrated

artificial intelligence (AI) control layer that ensures only coherence-validated, phase-aligned

pairs are activated. The system includes capacitive and inductive energy reclamation

components, and operates in inert gas environments without …

Virtual Styling Assistance Using Artificial Intelligence, Shailesh Maheshwari, Tyler Christian Gore, Ke Dong, Boon-Lock Yeo

Defensive Publications Series

This document describes techniques to integrate computing devices with personal style. While colored themes and user personalization are ubiquitous in mobile computing devices (e.g., smartphones, smart watches, fitness trackers, etc.), these options often do not consider real world styling such as the user’s attire and accessories. Mobile devices may be connected to a companion device with a camera, microphone, etc. By leveraging the device’s camera and artificial intelligence, the device can suggest device border colors, display themes, and other recommendations to integrate with the user’s style and enhance the user’s appearance. In some examples, the device may use a microphone …

Navigating Extended Reality Maps Using Large Language Models, Tony (Tuấn) Nguyễn, Chunpo Wang, Hiro Tsujino, Stiven Morvan

Defensive Publications Series

Map applications in extended reality (XR map-apps) immersively display map data and features within extended reality (XR) environments. Currently, users navigate within an XR map-app using hand tracking and/or gaze tracking, which can be inconvenient. This disclosure describes techniques that leverage large language models (LLMs) to enable users to query an XR map-app using voice commands. With user permission, the user’s XR environment, including the user’s real environment (under XR passthrough) and the user’s virtual environment (e.g., immersive screen, audio, etc.) is shared with the LLM. A question from the user can be answered by the LLM in the context …

Enhancing The Accuracy And Performance Of Eye Tracking In Head-Mounted Displays, Jason Spencer

Defensive Publications Series

Eye tracking on head-mounted displays (HMDs) is computationally intensive and requires multiple illuminators. The wide gaze angles at which eye-tracking cameras are positioned on HMDs make it difficult to obtain optimally good views of the eye. Further, it is difficult to determine the optical axis of the eye with high accuracy since the human physique does not always conform perfectly with the geometric shapes used to model it. This disclosure describes techniques that can establish the optical axis of the eye by leveraging the refracted view of the pupil under general illumination to infer the shape and position of the …

Method And System For Managing Micropayments Leveraging Blockchain Technology, Daos, And Stablecoins, Nandit Khosa

Defensive Publications Series

The present disclosure provides a method and system for processing micropayments to address the inefficiencies and high costs associated with traditional payment systems. The method involves creating Decentralized Autonomous Organizations (DAOs) for each individual or user that joins the network. Blockchain technology underpins the creation and operation of DAOs.Each DAO issues stablecoin tokens, which represent a stable value of assets or services, for the user to perform payment transactions. Whenever a user wishes to make a micropayment, the user sends the required number of stablecoin tokens to a smart contract. The smart contract automatically executes the transaction by transferring the …

Regenerative Voice Coil

Defensive Publications Series

In implementations of the disclosure, the elastic energy is recovered from a spring of a VCM. There may be a low mechanical damping and friction of the VCM design that reduces the energy waste while using the VCM regenerative mode as a magnetic damper. The recovered energy can be stored temporarily and used to drive the actuator again when needed (short term energy recovery and storage). An energy recovery circuit, such as a rectifier circuit, can be retrofitted to the existing VCM driver or integrated in a new VCM driver. The recovered energy can be sent back to the battery …

Analytic Hierarchy Process Based Interpretable Decision-Making Structure Of Gpt In Unified Developer Efficiency Modeling, Fuming Guo, Biju Abraham

Defensive Publications Series

The present disclosure relates to a method and a system for Analytic Hierarchy Process (AHP) based interpretable decision-making structure of Generative Pre-trained Transformer (GPT) in unified developer efficiency modeling. The method includes receiving and preprocessing a plurality of metrics from one or more data sources. The method further generates pairwise comparison scores for each metric of the plurality of metrics. Additionally, an AHP comparison matrix is constructed based on the generated comparison scores. The method further includes performing a consistency check on the comparison matrix to confirm the reliability of the pairwise comparisons. When inconsistencies are identified, the method includes …

Unizyme A Unified Protein Cleavage Site Predictor Enhanced With Enzyme Active-Site Knowledge

Defensive Publications Series

Enzyme-catalyzed protein cleavage is essential for many biological functions. Accurate predic tion of cleavage sites can facilitate various appli cations such as drug development, enzyme de sign, and a deeper understanding of biologica mechanisms. However, most existing models are restricted to an individual enzyme, which ne glects shared knowledge of enzymes and fails generalize to novel enzymes. Thus, we introduce a unified protein cleavage site predictor named UniZyme, which can generalize across diverse enzymes. To enhance the enzyme encoding for the protein cleavage site prediction, UniZyme em ploys a novel biochemically-informed model ar chitecture along with active-site knowledge of pro …

Trustworthy Distributed Traffic Prediction Through Gnn

Defensive Publications Series

Traffic prediction is of great importance for the development of intelligent transportation system (ITS), including travel time estimation (TTE), route recovery and road condition analysis. Most previous works model both road network and vehicle trajectory by learn ing their spatio-temporal characteristics to conduct traffic prediction. Among them, graph neural networ (GNN) has become a popular option for graph-structured traffic data. How ever, there are still two key issues for trustworthy distributed traffic prediction in real-world location-based services, i.e., data sparsity and privacy protection. In this thesis, we aim to solve the above two issues through GNN. For the first issue …

Molground: A Benchmark For Molecular Grounding

Defensive Publications Series

Current molecular understanding approaches predominantly focus on the descriptive aspect of human perception, providing broad, topic level insights. However, the referential aspect—linking molecular concepts to specific structural components—remains largely unexplored. To address this gap, we propose a molecular grounding benchmark designed to evaluate a model’s referential abilities. We align molecular grounding with established conventions in NLP, cheminformatics, and molecular science, showcasing the potential of NLP techniques to advance molecular under standing within the AI for Science movement. Furthermore, we constructed the largest molecular understanding benchmark to date, compris ing 79k QA pairs, and developed a multi-agent grounding prototype as proof …

Hybrid Spectral-Spatial Learning For Robust Graph Anomaly Detection

Defensive Publications Series

Anomaly detection on graph data has garnered significant interest from both the academia and industry. In recent years, fueled by the rapid development of Graph Neural Networks (GNNs), various GNNs-based anomaly detection methods have been proposed and achieved good results. However, GNNs-based methods often assume that connected nodes have similar classes and features (homophily), leading to issues of class inconsistency and semantic inconsistency in graph anomaly detection, particularly when this assumption is violated. Existing methods have yet to adequately address these issues simultaneously, thereby limiting the detection performance of the model. Therefore, an anomaly detection method that consists of one …

Stego Networks Identification Fragment (Snif), Maria Smith, Ervin Lopez

Defensive Publications Series

The present disclosure provides a method for detecting secret messages, encoded in a Non-Fungible Token (NFT) using steganography. Multiple characteristics such as pixel information, noise, frequency, entropy, and color palette of the NFT are analyzed parallelly and a confidence score is calculated. Based on the confidence score, it is determined whether any secret message encoded in the NFT or not.

Modular Design For Head-Mounted Wearables, Fu-Kai Tsai

Defensive Publications Series

Augmented, virtual, mixed, or extended reality (AR/VR/MR/XR) devices provide a variety of functionality powered by on-board components including processing circuitry, cameras, microphones, speakers, etc., all powered by a battery. The small form factor of such wearable devices places limitations on component size and placement. Additionally, since these devices are worn on the head, there are also limitations on the total device weight. This disclosure describes a modular design for head-mounted wearable devices such as augmented reality (AR) glasses. The design enables modules to be easily added to or removed from the device based on the context of use. The AR …

Automatic Real-Time Content Modification For Ar/Xr Devices, Kathleen Bryan, Shiblee Hasan

Defensive Publications Series

This disclosure describes techniques that enable users to selectively exclude, replace, or blur in real time certain visual elements in the frames of a video feed obtained via AR/XR devices. Computer-vision techniques are used to identify and isolate individual objects within the live video feed. Content-aware fill algorithms are used to seamlessly replace selected individual elements with visually plausible content. Depth estimation and three-dimensional reconstruction can be used to ensure that the elements are replaced with content consistent with the depth and perspective of the scene. The techniques can provide greater artistic control, privacy, and thematic focus.

Decapit8: System And Method For Creating Ai-Optimized Website Representations With Structured Robot Entrances, Renee Gagnon

Defensive Publications Series

Decapit8 provides a system and method for reformatting website content into structured, semantically rich "information cartridges" optimized specifically for machine consumption. It creates a "Robot Entrance" offering tiered summaries, semantic embeddings, knowledge graphs, and explicit reasoning pathways, enabling AI/ML systems to interact efficiently with websites without full re-crawling. This reduces computational overhead, improves agentic reasoning, and establishes a new machine-native web interaction paradigm.

Interfacial Layers With Enhanced Functionalities And Devices Having Same

Defensive Publications Series

Disclosed are interfacial layers with enhanced functionalities, devices having such interfacial layers, and systems and methods of using or producing such interfacial layers and devices. An interfacial layer includes a polymer having a combination of poly(3,4- ethylenedioxythiophene) (PEDOT) and PEDOT bearing an acid moiety (PEDOT-acid). A device includes one or more electrodes, each including a substrate having a surface coated with the interfacial layer. The one or more electrodes are configured to detect one or more electrical signals generated by muscles or nerves of a subject or to apply electrical stimulation to the muscles or nerves of the subject through …

Selecting Best Synce Source In A Network Based On Eec Hop Count

Defensive Publications Series

This disclosure presents a method to enhance synchronization accuracy in telecommunications networks employing IEEE-1588 Precision Time Protocol (PTP) alongside Synchronous Ethernet (SyncE). The approach addresses the inherent challenges posed by static synchronization source selection methods, particularly the sub-optimal choices resulting from network rerouting or link failures. By systematically embedding hop-count information—the total number of Ethernet Equipment Clocks (EECs) traversed—into Ethernet Synchronization Messaging Channel (ESMC) Protocol Data Units (PDUs), the invention provides downstream devices with real-time visibility into the synchronization path length. Specifically, the previously reserved octet 22 of the ESMC PDU is repurposed as a "cascaded EEC count" field, incrementing …

Performance Optimization For Distributed Computing Via Gen Ai, Mingji Lou, Maksat Abasov, Fangfang Fu, Pragya Prakash, Venkata Siva Sai Manepalli

Defensive Publications Series

Methods, systems, and computer program products for performance optimization of distributed computing resources using generative artificial intelligence (AI) are provided. An example method may include receiving data associated with performance metrics of a distributed computing system and data associated with a cost function for activities engaged in with the distributed computing system. The method may include providing, as an input to a generative AI algorithm, the data associated with performance metrics of the distributed computing system, the data associated with a cost function for activities engaged in with the distributed computing system, and data associated with a knowledge graph regarding …

Switching Extended-Reality Objects From World-Anchored To Body-Locked Reference Frames Using Hand Gestures, Na

Defensive Publications Series

Switching objects in extended reality (XR) environments from world-anchored to body-locked reference frames can be a cumbersome procedure, requiring complex interactions or menu navigation that interrupt immersion. This disclosure describes techniques that use quick hand gestures to seamlessly transition between world-anchored and body-locked reference frames in XR environments. The hand gestures, designed to be intuitive, easy to perform, and minimally disruptive to the immersive experience, can be performed in the frame of XR headset view for easy detection and action. An example gesture can be the user extending the index finger of their dominant hand and retracting it rapidly twice, …

Method, System And Computer Program For Enhancing Travel Recommendation Using Large Language Models, Zhimeng Jiang, Mangesh Shrikant Bendre, Huiyuan Chen, Xiran Fan, Yan Zheng, Mahashweta Das

Defensive Publications Series

Methods, system, and computer program products are provided for enhancing travel recommendation systems using large language models. The solution enhances the current travel recommendation system by leveraging large language models and the Doc2Vec algorithm to better capture and utilize the rich semantic information associated with each merchant. By augmenting merchant information with additional features like emoji representations and using Doc2Vec to generate merchant embeddings, the solution effectively improves the quality and precision of travel recommendations. This leads to a personalized and improved user experience in travel planning and booking.

Distributed Serving Of Partitioned Machine Learning Models Across Heterogeneous Hardware Resources, Vince Gatto, Junyan Li, Chi Chen, Hang Fu, Brad Froehle, Smit Hinsu, Devanshu Jain, Aniruddh Nath, Ruolin Jia, Shuo Chang, He Ma, Daokun Jiang

Defensive Publications Series

The present disclosure relates to systems and methods for serving machine learning models by partitioning model components for distributed execution across heterogeneous hardware resources. In particular, the disclosure describes techniques for splitting models into independently executable subgraphs deployed across a cluster of machines with varying hardware configurations (e.g., CPUs, GPUs, TPUs). The system leverages the distinct strengths of different hardware types by mapping memory-intensive or preprocessing-heavy components to CPU machines, while assigning compute-intensive subgraphs to accelerators such as TPUs. The distributed architecture employs a runtime system that manages inter-machine communication and orchestration of inference tasks, enabling improved utilization, scalability, and …

Method And System For Transaction Level Settlement For Card Payments, Barbara E. Patterson, Libby A. Kurien, Millie L. Yee, Matthew A. Cramer, Michael Allen Balk, Karen Ando

Defensive Publications Series

Embodiments of the present disclosure includes: receiving, by a processing network computer from a resource provider computer via a transport computer, an authorization request message for a transaction; determining, by the processing network computer, that the transaction qualifies for transaction level settlement; modifying, by the processing network computer, the authorization request message to include a transaction level settlement indicator; transmitting, by the processing network computer, the authorization request message to an authorizing entity computer; receiving, by the processing network computer from the authorizing entity computer, an authorization response message; and transmitting, by the processing network computer to the resource provider …

Biomimetic Nanobots For Heavy Metal Soil Remediation, Suma Mallapragada, Vaishnavi Sankepally

Defensive Publications Series

This defensive publication introduces an innovative approach for heavy metal soil remediation using biomimetic nanobots, designed to autonomously detect, neutralize, and degrade harmful contaminants while ensuring eco-friendliness and sustainability. The nanobots feature a graphene-based outer capsule for structural durability, a gold nanolens for selective ion detection, and a bioengineered pseudo-organelle payload system that enables enzymatic neutralization of heavy metals. Utilizing optical-tweezer-based DNA-polystyrene actuators, the system is capable of movement within the soil, and a self-regenerating mechanism ensures prolonged activity. A NanoIoT-enabled communication system allows real-time monitoring and control with minimal human intervention. The nanobots target common …

Intrinsically Conductive Polymers For Dry Emg Electrodes, Ru He, Li Yao, Zidong Li, Vanessa Tolosa, Thomas Rudolf

Defensive Publications Series

An example method of manufacturing an electrode, comprises dissolving PVA in a PEDOT: PSS aqueous solution to produce a PEDOT: PSS/PVA solution. Then a dialdehyde crosslinker is added to the PEDOT: PSS/PVA solution to produce a mixture, and the mixture is provided to a mold to be partially cured to produce a loose hydrogel. The resulting hydrogel is then treated with acetic acid and undergoes a controlled drying process to produce a tough flexible dry polymer material that can be utilized as an EMG electrode in wristbands.

Intelligent Call Transfer Between Computing Devices, Hp Inc

Defensive Publications Series

This disclosure presents a method for intelligent call transfer between computing devices (e.g., a PC and a phone). The system detects specific conditions such as low battery levels on either device, user mobility (e.g., locking the PC to leave), or varying network connectivity quality. Upon detection, the system prompts the user to transfer the ongoing call to the more suitable device, ensuring uninterrupted communication. This solution addresses common issues such as delays in connectivity and meeting disruptions, providing a seamless transition between devices during conferencing. Some of the main problems addressed are delays in connectivity, delays in meeting, reduce interruptions …

A System For Real-Time Compliance Management Support, Tarushi Dubey, Sumit Kumar, Mansi Singh, Satyam Raj

Defensive Publications Series

The present disclosure provides a compliance system 200 for real-time compliance management support, which can provide continuous, real-time support to employees in relation to meeting compliance requirements and regulations. The compliance system 200 is configured for monitoring conversations, identifying a context from the monitored conversations, identifying potential compliance requirements, and offering immediate relevant suggestions to successfully fulfil the compliance requirements.

Dynamic Creation Of Uml Diagrams Using Generative Ai, Shobhit Sahai Saxena, Irshad Alam, Vaibhav Sharma, Umesh Vats, Vijay Kumar Chundury

Defensive Publications Series

Unified Modeling Language (UML) diagrams are useful for visualizing system architectures and module correlations. However, manual creation of such diagrams can be tedious and time consuming. Techniques are proposed herein to leverage generative artificial intelligence (AI) to automate the creation and updating of UML diagrams, such as Class and Sequence diagrams, by dynamically analyzing codebases. This approach ensures accurate, up-to-date diagrams with approximately 80% efficiency, significantly reducing manual effort. By combining generative AI with dynamic code analysis, the proposed techniques generate comprehensive and accurate UML diagrams across multiple programming languages and frameworks, enhancing communication among stakeholders, improving software quality, maintainability, …

Mobile Device Power Saving Using Proximity Beacons, Nazih Almalki

Defensive Publications Series

This document describes techniques that enable a computing device (e.g., a smart watch, ring, glasses, etc.) to preserve battery life by utilizing proximity beacons (e.g., location tracking stickers, AirTags, BLUETOOTH beacon, wireless locators, etc.) to locate the device. Many existing devices utilize power-intensive global navigation satellite systems (GNSS) (e.g., GPS, GLONASS, Galileo, BeiDou, QZSS, IRNSS, etc.) to track the device’s location. Using GNSS may be very resource expensive due to the high power cost associated with acquiring, tracking, and receiving weak satellite signals, particularly for devices with very small batteries such as watches, rings, glasses, and other wearable computing devices. …

Real-Time Monitoring And Enhancement Of Multi-User Communications With Ai Agents, Arman Rezaee, Sri Gundavelli

Defensive Publications Series

This document proposes a novel approach using Artificial Intelligence (AI), including Large Language Models (LLMs) and AI agents, to address the challenge of correlating low Quality of Experience (QoE) with underlying network Quality of Service (QoS) parameters in multi-user communication platforms like online teleconferencing systems. The proposed techniques facilitate real-time monitoring of audio/video feeds from teleconference participants to identify and label communication disruptions and correlate these disruptions with network parameters. This enables proactive network and application optimization to enhance user experience.

Morphing Of Media Content, Parantap Sharma, Veenu Mishra, Kanishka Mishra, Shatakshi Gupta, Netri, Ajay Karthik Nama Nagaraj, Saumya Rangani

Defensive Publications Series

Systems and techniques are described as providing an enhanced and more pleasurable experience for a user when viewing media content. The user may interact with a television (TV) application running on a media player. The TV application may interface with media content providers to fetch media content for streaming to and viewing on the media player by way of the internet. The media player may be a computing device (e.g., a Smart TV, a tablet computer, a smart phone, a laptop computer, a mobile computing device, a desktop computing device, etc.) connected to a network and interfaced to the internet. …