Digital Commons Network^™

Hybrid Satellite Network Management, Karthick Musuvathi Janakan, Sooraj Sasindran, Dang Tu Nguyen, Soumyadeep Paul

Defensive Publications Series

Satellite-based communication from a smartphone and other devices is useful for emergency communication and also provides connectivity in areas where traditional terrestrial networks are unavailable. However, when a single carrier uses multiple satellite providers, a mobile device may not be equipped to seamlessly manage satellite connections. This can lead to a fragmented user experience which can be detrimental, especially for critical services such as emergency messaging. This disclosure describes techniques to intelligently manage a hybrid satellite environment on a mobile device when a single carrier offers services from different satellite providers. The techniques incorporate per-provider configuration, dynamic feature caching, hybrid …

Automatically Displaying Contextually Relevant Information In Response To Gesture Input On Displayed Content, Cliff Kuang

Defensive Publications Series

Obtaining information related to content viewed from a device currently requires users to engage in burdensome actions such as asking questions to an AI assistant or specifying a search query, both of which require the user to provide the context for their query. This disclosure describes a simple gesture-based user interface that helps users satisfy information needs from content they view. When the user performs a gesture, a prompt is automatically provided to a large language model (LLM) to generate relevant answers. With user permission, the LLM uses the user's current content and profile information to create personalized answers and/or …

A Comprehensive Sox And Icfr Architecture For Digital Asset Custodians, Exchanges, And Tokenization Platforms, Ramkumar Bharathan

Defensive Publications Series

This work presents a comprehensive, technology-agnostic SOX (Sarbanes-Oxley) and ICFR (Internal Controls over Financial Reporting) framework tailored for digital asset, blockchain, and Web3 enterprises. The rapid expansion of decentralized technologies and digital custody models introduces new risks that traditional financial control programs are not designed to address. This paper provides an end-to-end, multi-layer control architecture that integrates modern cybersecurity practices, blockchain-specific controls, and regulatory expectations across COSO, PCAOB, NIST, and evolving digital asset guidance.

The framework includes entity-level governance, digital asset custody controls, key-management procedures, multi-signature governance, smart-contract change management, stablecoin and token issuance safeguards, exchange integrity controls, and automated …

Mag-V: A Multi-Agent Framework For Synthetic Data Generation And Verification, Abhinav Mathur, Akshay Mallipeddi, Joseph Ross, Kristal Curtis, Liang Gou, Harsh Vashistha, Saptarshi Sengupta

Defensive Publications Series

Extending the capabilities of Large Language Models (LLMs) with functions or tools for environmental interaction has led to the emergence of the agent paradigm. In industry, training an LLM is not always feasible because of the scarcity of domain data, legal holds on proprietary customer data, rapidly changing business requirements, and the need to prototype new assistants. Artificial Intelligence (AI) agents can address such issues by relying on the zero-shot reasoning abilities of the underlying LLM and utilizing tools to explore and reason over customer data and respond to user requests. However, there are two concerns here: (I) acquiring large …

Ai-Generated Personalized Information Digests From Diverse Information Sources, Ruochuan Zhang, Jacob Antony Arnold

Defensive Publications Series

Individual contributors in a large-scale project can find it challenging to maintain a comprehensive understanding of project status and trajectory because of information overload. from project-wide updates from multiple information sources. Current large language model (LLM) generated summaries are based only on a single information source and are not personalized. This disclosure describes an LLM-based artificial intelligence (AI) agent for automatically providing users with periodic personalized digests of relevant project-related updates based on information obtained with permission from multiple data sources. With specific user permission, data from various project-related information sources such as collaboration platform, project management platform, document repository, …

Proactive Account Matching In Payment Flows For Regulatory Compliance, Amish Patel, Abhishek Tyagi, Yogesh Agrawal, Varun Gupta, Piyush Ramuka, Sanket Jain, Nishank Jain, Paridhi Rawat

Defensive Publications Series

In certain jurisdictions, online transactions with merchants or brokers in certain regulated sectors are subject to regulations that mandate that payments be completed using instruments previously registered by the user with the merchant. Unaware of such mandates, users often select bank accounts unregistered with the merchant, resulting in failed transactions and frustration. This disclosure describes techniques that enable only those transactions that are compliant with regulations requiring a match between the user’s bank account registered with the merchant and the user’s bank account registered with their payment app. A match between bank accounts registered with the merchant and the payment …

P2p Service With Dynamic Acquiring, Jarkko Oskari Sevanto, Ali Esmailzada

Defensive Publications Series

One embodiment includes a processing network computer implemented method for facilitating a transaction between a sender and recipient. The method uses a token or token reference to dynamically select an authorizing entity as an acquirer, thus enabling transactions among a variety of authorizing entities.

Communication Supplementation Based On Sentiment Analysis, Mahdi Tayarani Najaran, Ruofei Du

Defensive Publications Series

Text-based communication systems often lead to misinterpretation of a message because the emotional context is lost. A recipient may infer a sender’s sentiment based solely on the text, leading to misunderstandings. This disclosure describes a method to supplement text messages (or other communications) with representations of the sender’s inferred sentiment, captured during composition. The technique involves collecting multi-modal biological information from the sender, such as facial expressions, gaze, and gestures, using sensors on the composing device. A machine learning model can analyze this data to infer the sender’s sentiment. A graphical representation, like an emoji, corresponding to the inferred sentiment …

A Security Assessment System For Blockchain Wallet Recovery Mechanisms, Panagiotis Chatzigiannis, Ke Wang, Mohammad Mohsen Minaei Bidgoli, Sunpreet Singh Arora

Defensive Publications Series

The present disclosure relates to a system for analyzing security vulnerabilities in blockchain wallet recovery mechanisms. The system includes a blockchain wallet configured with a plurality of distinct recovery agents, a model-checking framework operable to simulate various potential adversarial scenarios, and an interface to specify parameters such as agent reputation, transaction spending power, and user response probability. Additionally, the security assessment output visually indicates secure and insecure configurations of the blockchain wallet based on interactions among the recovery agents. Furthermore, the model-checking framework simulates diverse adversarial conditions, generating an assessment matrix that highlights potential risks associated with different agent configurations. …

Centralized Repository Of Verified Brand Data For Consumption By Ai Systems, Caroline Pieracci

Defensive Publications Series

Artificial intelligence (AI) models can generate inaccurate or outdated representations of brands by synthesizing information from inconsistent public web sources. A system may include a centralized, authenticated repository where entities can manage a verified, machine-readable version of their brand identity. The system can utilize a structured data schema to capture attributes such as brand voice, core values, and frequently asked questions. This structured and verified information may then be programmatically distributed to consuming AI systems through an application programming interface, which can be integrated into processes such as retrieval-augmented generation. This approach may provide a data source to help improve …

Federated Agentic System For Adaptive Workflow Management In Enterprise Environments, Soumendra Kumar Mishra

Defensive Publications Series

The present disclosure relates to a federated agentic system for adaptive workflow management in enterprise environments. This system features a coordination hub for dynamically delegating tasks to multiple intelligent agents. The Resource Usage module forecasts resource consumption patterns based on historical execution data, while the Server Availability module monitors server health to ensure infrastructure readiness. Additionally, the Resource Availability module assesses the state of the Hadoop cluster for necessary computing and storage resources, and the Scheduling Optimization module identifies and resolves scheduling conflicts to enhance job execution efficiency. By integrating these components, the system ensures reliable data synchronization across distributed …

Extending Handover Criteria For Inter-Technology Handover In 5g, Joachim W. Walewski, Carlos Guimarães

Defensive Publications Series

This disclosure addresses the handover of Radio Resource Control connections in 5G Systems, specifically the offloading of traffic by handing over a connection from one radio technology to another. The proposed solution involves triggering the handover based on other criteria than signal strength. Example criteria are service time, latency, and location of the respective User Equipment. By allowing inter-technology handovers, better resource management can be achieved, enhancing connectivity and service continuity.

Tighter Coordination For Seamless Handover And Dual Connectivity Across 5g Networks Belonging To Different Operators, Joachim W. Walewski, Carlos Guimarães

Defensive Publications Series

This disclosure addresses the support of features like seamless handover and Dual Connectivity, where the respective base stations are situated in networks managed by different stakeholders. The proposed solution involves two protection proxies of a new type, which handles base station coordination between the two different domains.

Heterogeneous Graph Model For Predictive Impact Analysis In Validated Systems, Ramakrishnan Neelakandan, Teginder Singh, Bakul Patel

Defensive Publications Series

Assessing the impact of system modifications in regulated computing environments, such as on cloud platforms or on-premise servers, may be challenging, as some methods can rely on siloed tools or subjective manual reviews that may lead to inefficient re-validation or compliance risks. A system may utilize a heterogeneous graph model to create a unified digital representation of a validated system, which can integrate entities such as code, data, infrastructure, and regulatory requirements. For example, when a change is proposed, a change propagation simulator can analyze potential effects by performing a weighted traversal of the graph to determine a multi-dimensional impact …

Presence-Triggered Predictive Caching Of Media Content, D Shin

Defensive Publications Series

On-demand digital media streaming systems may experience playback latency, such as buffering, as content can be retrieved reactively after a user makes a selection. The described systems and methods can address this by using a presence signal to trigger a predictive process. A presence signal can be generated, for example, when a user’s computing device (e.g., a smartphone, smart watch, or wearable device) connects to a local network (e.g., a Wi-Fi network) or enters a geofence. Upon receiving this trigger, and with appropriate user permissions being granted, a predictive modeling engine can analyze the user’s content consumption history and context …

Conditional User Equipment Keepalive For Efficient Location Updates In Non-Terrestrial Networks, Yanming Wang, Andy (Jibing) Wang, Shailesh Maheshwari

Defensive Publications Series

In non-terrestrial networks, a user equipment (UE), such as a smartphone, smart watch, or other wearable device, moving between large satellite beam coverage areas can generate signaling overhead from frequent tracking area update (TAU) procedures. Suppressing these updates can result in the UE becoming less reachable for incoming, mobile-terminated services. A UE-centric method is described wherein a logic engine on the UE can evaluate a combination of contextual triggers, for example, user activity, modem state, and a change in tracking area. If certain conditions are met, the UE can transmit a lightweight, payload-free packet to initiate a control plane service …

Centralized Multi-Channel Power Architecture For Independent Charging Of Peripheral Devices, Yao Ding, Diego Liu

Defensive Publications Series

A system and method are described for managing power in a system with a charging enclosure and multiple peripheral devices, such as wireless devices or other portable electronics. In some configurations where peripherals have dissimilar battery levels, a single power converter in the enclosure can result in energy inefficiency and heat generation in the peripheral with a lower state of charge. The described architecture can centralize charging regulation within the charging enclosure. The enclosure may incorporate a multi-channel charger that provides an independent, dynamically adjusted power output for each peripheral. This control may be based on real-time battery status data …

Dynamic Transmit Power And Duty Cycle Control For Wireless Range Extension, Omar El Ayach, Nihar Jindal

Defensive Publications Series

Wireless communication range for certain devices (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, etc.) can be limited by regulatory transmit power constraints, such as for specific absorption rate, which may contribute to unreliable connections at a network edge. Systems and methods are described for dynamically managing a transmitter's duty cycle and instantaneous power. For example, a link assessment module can monitor wireless conditions and, upon detecting a power-limited state, a duty cycle modulator can reduce the transmitter's active time using techniques such as inter-frame space elongation or control frame mechanisms. This reduction can create a power budget …

User-Specified Source Preferences For Personalizing Information Retrieval Results, Deep Shah, Aditya Bhandari, Phelipe Fernandes, Chris Meave-Ohrt

Defensive Publications Series

The information retrieval systems that utilize general ranking algorithms may not consistently surface content from sources an individual user personally trusts, potentially leading to a less personalized experience. Systems and methods can provide a framework for users to explicitly designate preferred content sources. These preferences may be stored and retrieved when a user performs a search. With appropriate user permissions being obtained, the search process can be modified to incorporate these preferences, for example, by performing a parallel search restricted to the preferred sources or by applying a ranking boost to content originating from these sources. This approach can result …

The Server-Side Heartbeat For Power-Optimized Persistent Connection Management, Nazih Almalki, Sumukh Shevde, Fred Quintana, Todd Hansen

Defensive Publications Series

Maintaining persistent connections between a server and a client device can be resource-intensive for the client. The client-initiated heartbeat signals, used to prevent connection timeouts by network intermediaries, can lead to increased power consumption and data usage on battery-powered devices, for example, a smartphone, smart watch, or wearable device. A technique is described for a server-side connection management system where the server, rather than the client, can initiate a periodic heartbeat signal to the client to help keep the connection active. The system may also incorporate state-aware logic, allowing the server to receive signals indicating the client's power state, such …

Autonomous Agentic Analytics -Ai System For Financial Datasets, Santosh Babu Kanutala, Karthikeyan Kandasamy, Nick G. Roberts

Defensive Publications Series

The present disclosure relates to a method and system for automatic agentic analytics for proactive, intelligent analytics through coordinated artificial intelligence (AI) agents. The system monitors one or more real-time financial data sources and generates user context features, data context features and organizational context features based on the monitoring. The system combines the user context features, the data context features, and the organizational context features to generate a combined feature vector. Further, the system processes the combined feature vector to identify AI agents to be activated and determines agent coordination strategies for the identified AI agents.

Microcontroller Unit Allowing Power Cycling Via Existing Reset Button, Yao Ding, Yung-Ching Tseng

Defensive Publications Series

This publication describes systems and techniques for initiating power cycling of an electronic device, rather than just resetting the electronic device, via a single, user-accessible reset button. For example, an electronic device that includes a microcontroller unit (MCU) may be modified by adding a power cycling circuit that is activated by a reset button that conventionally would apply a reset signal to the MCU. Responsive to activation of the reset button, the power cycling circuit disables one or more power regulators that supply power to the MCU, disconnecting the MCU from power. Disconnecting and reconnecting the MCU from power results …

Data Center Demand Response, Marisol Palmero, Faisal Abdel Kader Azizullah, Colin Seward

Defensive Publications Series

An innovative solution is proposed herein that provides for integrating artificial intelligence (AI) with Demand Response (DR) techniques in data centers, which can significantly enhance grid resilience as renewable energy penetration increases. By dynamically managing workloads and energy consumption through AI, data centers can actively participate in DR programs under the proposed techniques, thereby providing real-time adjustments to support grid stability during periods of high demand or low supply. Additionally, by leveraging energy storage systems and aligning operations with renewable output, data centers can reduce grid strain and reliance on fossil-fuel peaker plants, thereby contributing to a sustainable energy future. …

Generating And Surfacing Contextual Ai-Generated Content During Video Playback, Ramprasad Sedouram, Raviteja Govindaraju

Defensive Publications Series

Viewers watching educational videos such as students of technical subjects can sometimes experience difficulties in understanding concepts and nuances of a topic. In the absence of a live instructor, the student watching an educational video often finds it necessary to pause the video at difficult segments and search for resources external to the video, which is disruptive. This disclosure describes techniques that, with user permission, leverage artificial intelligence (AI) to detect that a user watching a video can benefit from additional explanation and automatically present a contextual nudge that offers additional in-video assistance just when the user is likely to …

Automatic Gui Generation Based On Layered Queries For Interaction With Ai, Raviteja Govindaraju, Ramprasad Sedouram

Defensive Publications Series

Conversational interface (UI) for artificial intelligence (AI) assistants typically uses text or speech and, as such, presents some cognitive load. The UI can be unintuitive for complex queries, leading to frustratingly long to-and-fro conversations. For sophisticated tasks, the UI can lack expressivity, forcing users to use long text prompts over multiple conversational turns. This disclosure describes techniques that enhance and simplify interactions with AI assistants using automatically generated graphical elements that enable a user to manipulate and weigh particular parameters in their input queries. Two modes of user input are defined - text mode and graphical mode - with easy …

Automated Context-Aware Sharing Of Digital Media Assets, Mahmad Bharmal, Piyush Itankar

Defensive Publications Series

The sharing of group photos (or other digital assets) with individuals depicted in the photos is currently a laborious, error-prone manual process. This disclosure describes techniques for automated, privacy-preserving sharing of digital media assets. With user permission, a set of digital media assets is analyzed using facial recognition to identify faces depicted within those assets. With user permission, the user’s repository of contacts is accessed to correlate the recognized faces with known individuals listed therein, thereby establishing an association between specific media assets and specific contacts. After successful identification and correlation, a user prompt or notification is generated for review …

Dual-Spectrum Multi-Layer Holographic Projection System With Shadow-Based Positional Sensing For Interactive Spatial Computing, Lorenzo Lbn Bernardini

Defensive Publications Series

The present invention discloses a revolutionary dual-spectrum multi-layer holographic projection system that fundamentally redefines the paradigm of human-computer spa- tial interaction by eliminating the necessity of wearable apparatus while simultaneously enabling tactile manipulation of volumetrically-rendered virtual objects. The system achieves this through an innovative architectural decoupling wherein visible-spectrum multi-projector arrays generate stratified holographic imagery across multiple depth planes, while a parallel infrared sensing subsystem performs continuous shadow-pattern analysis to extract precise three-dimensional positional information of the user within the interac- tion volume. This spectral bifurcation resolves the fundamental paradox inherent in prior art wherein projection and sensing mechanisms interfere through …

End-To-End Framework For Llm Multi-Agent Alignment Through Collaborative Feedback Orchestration, Andrea Morandi, Saurabh Gupta

Defensive Publications Series

Large Language Models (LLMs) have revolutionized artificial intelligence (AI) applications across industries. As organizations increasingly deploy these powerful systems, ensuring their alignment with human values, safety requirements, organizational policies, and contextual regulations remain a significant challenge. Existing alignment methods like Reinforcement Learning from Human Feedback (RLHF) are labor intensive, expensive, time-consuming, prone to human error, and lack standardized frameworks for implementation. To overcome such issues, a system is proposed herein that uses an Adaptive Multi-Agent Orchestration Framework for Contextual LLM Alignment. The proposed system addresses critical limitations in current alignment approaches.

Distributed Computing System Variations And Extensions, Christopher Doherty

Defensive Publications Series

This document describes variations and extensions of distributed computing systems that combine offline-first data synchronization, hierarchical artificial intelligence processing, multi-agent coordination, and predictive analytics. The disclosed variations represent obvious extensions to the core inventions and are published to establish prior art to prevent future patenting by third parties.

Randomized Subscriber Concealed Identifier, Joachim W. Walewski, Steffen Fries

Defensive Publications Series

This technical disclosure discusses the issue of static Subscriber Concealed Identifiers in 5G networks, which can lead to tracking of User Equipment during initial registrations. The proposed solution involves generating randomized SUCIs for each UE registration. By introducing a new structure for the SUCI, including random number generation, the tracking of User Equipment is made more challenging. This innovation aims to improve privacy for User Equipment in scenarios involving high-profile individuals and law enforcement etc.