Digital Commons Network^™

A Method And Payment System For Preventing Card Skimming During Payment Transactions, Binayak Biswas

Defensive Publications Series

The present disclosure relates to a method and payment system for preventing card skimming during payment transactions. The method involves generating a dynamic PIN token using a secret key and transaction-specific data. The dynamic PIN token is transmitted via a near-field communication (NFC) interface from a mobile device or contactless card to a point-of-sale (POS) terminal. This token is verified at a verification network utilizing the same secret key and transaction-specific data to confirm the authenticity of the payment transaction. Upon successful verification of the dynamic PIN token, the payment transaction is executed, ensuring that the token is unique for …

Reversed Compressor Housing Ported Shroud Rib

Defensive Publications Series

Ported Shroud for a turbocharger allows air from downstream of compressor to recirculate back to upstream to increase flow stability and avoid surge. To expand the operating range of a centrifugal compressor, shroud walls often have annular ribs. This invention proposes a reversed design of ported shroud rib that improves compressor surge behavior and widens compressor map without any additional cost.

Automated Generation Of Product Compliance Briefs Using A Generative Model And Enterprise Data Sources, Venkat Sharma Gaddala, Gary Borella, Krish Mohan, Nanda Balasubramanian, Raghu Ravisankar, Shaswat Kumar, Joe Heinrich, Debbie Masada

Defensive Publications Series

The manual creation of specialized compliance documentation for international trade may be a resource-intensive process, potentially leading to operational delays. Systems and methods are described for the automated generation of product briefing documents. The technology may utilize a central orchestration service that integrates a generative artificial intelligence model with multiple enterprise data sources, for example, product lifecycle management systems and repositories of existing documents. To generate a new document, the system can identify similar products based on shared attributes, such as a commodity code, and could use data from these products to construct a few-shot prompt for the model. This …

Cascaded Model Architecture For Resource-Efficient Contextual Action Suggestion, Lixia Liu, Jian Wu, Georgi Angelov, Jiang Wang

Defensive Publications Series

Providing real-time contextual action suggestions in communication environments can involve computational cost and latency associated with running large-scale artificial intelligence models. A system can address these considerations using a cascaded, multi-layered modeling architecture. The system may first process contextual data, such as live meeting transcripts, through a lightweight, computationally inexpensive classification model. If this model returns a prediction with a confidence score below a predetermined threshold, the request can be escalated to a more resource-intensive model, such as a large language model, for a more nuanced analysis. This gating mechanism can balance predictive accuracy with computational efficiency, which may reduce …

System For Jurisdictional Mapping And Dynamic Routing Of Cloud Api Requests, Johannes Start, John Lunney

Defensive Publications Series

Cloud agents interacting with third-party services via generic application programming interface (API) endpoints should adhere to data residency requirements. A system may intercept outbound API requests to help manage data sovereignty policies. The system can use a hierarchical region-to-jurisdiction map and a service capability matrix to determine a request's source jurisdiction and identify compliant endpoints for the destination service. If a compliant endpoint is available, the system can dynamically rewrite the request to target that endpoint. If no compliant endpoint is found, the request can be blocked. This technique may facilitate the enforcement of jurisdictional data processing rules by decoupling …

Orchestrating Agent Failover Using A Relationship Tree With Defined Dependency Types, Gaurav Sangamnerkar, Himesh Mukherjee

Defensive Publications Series

In distributed computing environments with multiple interacting agents, interdependencies can contribute to localized agent failures escalating into system-wide outages, as some protocols may not adequately define dependency-based failover strategies. A control plane framework can manage such interdependencies by employing an agent relationship tree (ART). The ART can be a data structure that maps the relationships between agents and annotates each with a dependency type, for example, solid for dependencies designated as strongrelationship or fluid for those with lower importance. An agent orchestrator can monitor agent health and, upon detecting a failure, can consult the ART to initiate a context-aware recovery …

Dynamic Antenna Configuration For Ntn Links Via Predictive Look-Up Table Search, Ali Molaei, Kasra Ghaemi, Gregory Black

Defensive Publications Series

Establishing communication links between mobile terminals, such as smartphones or vehicle communication systems, and non-terrestrial networks (NTNs), for instance, low earth orbit satellite constellations, can be impacted by frequent variations in signal characteristics as satellites move. If a static antenna configuration on a mobile device does not adapt to this dynamic signal environment, link degradation may result. A system for dynamic antenna configuration can use a pre-calculated look-up table (LUT) that maps various satellite positions and signal properties to corresponding antenna tune states. During operation, a predictive algorithm on the terminal can use real-time signal strength measurements and the LUT …

Technical Evaluation Of The Interactive Digital Vinyl System (Idvs), Christoph Fussgänger

Defensive Publications Series

This technical evaluation presents the Interactive Digital Vinyl System (IDVS) and the IDVS+, a sensor-based Digital Vinyl System (DVS) control vinyl that adds a rotating touchscreen interface for direct, on-deck control of DJ and music software.

The IDVS+ is a 12-inch, battery-powered device that operates without a stylus, continuously measures its own rotation via internal motion sensors, and transmits motion data wirelessly to a connected computer, DJ player, or smartphone, where the audio is generated and played back. In addition to standard DVS behavior (speed control, forward and reverse movement, and scratching), the IDVS+ introduces a high-resolution touchscreen surface capable …

System For Ai-Driven Ui Control Via A Hardware Actuator Emulating A Human Interface Device, Shashwat Razdan

Defensive Publications Series

The ability of intelligent agents to perform complex, cross-application tasks may be constrained by a dependency on application-specific programming interfaces (APIs), which can limit interaction with user interfaces and adaptation to dynamic visual changes. A system can employ a closed-loop perception-action cycle where a multimodal intelligent agent analyzes visual data from a screen of a host device, such as a smartphone or computer, to predict a next action. A control application can translate this action into a sequence of low-level human interface device events. A peripheral hardware actuator device may receive these events and inject them into the host device's …

Hierarchical Pre-Decoding Reliability Verification Of Generative Model Latent States, Neel Mohbe

Defensive Publications Series

Reliability verification for generative artificial intelligence models may be constrained by a reliance on post-hoc, token-level analysis, which can be computationally inefficient. Described are systems and methods for a pre-decoding verification architecture that can operate on the internal latent states of a generative model before output tokens are sampled. The architecture can use a hierarchical cascade of checks, for example, beginning with a fast linear classifier, escalating ambiguous inputs to a non-linear density-based evaluator, and routing complex cases to specialized expert models. A feedback mechanism can propagate classifications from the expert models backward to update and refine the faster, earlier …

Online Platform Or Service Access Tiers Based On Data Permissions, Na

Defensive Publications Series

Many software applications and online services provide free or limited usage access to users. Such products and services rely on commercial revenue from advertising or other mechanisms that rely on usage of user data. To use such services, users provide their consent for limited use of data such as activity data on the platform for commercial purposes. This disclosure describes techniques that offer to compensate users for their data that is specific to the usage of an online service or platform, and is used in accordance with platform policies and applicable regulations. The techniques enable user-selection of an appropriate level …

Browser Engine System For Dynamic, Query-Guided Synthesis And Injection Of Contextual Session Essence Into Large Language Model Prompts, Abhay Prakash, Sophie Chang

Defensive Publications Series

A system and method for dynamic, query-guided synthesis and injection of a contextual session essence into large language model prompts provide a browser-native solution to computational latency and context window saturation. The system comprises a context gathering module that performs real-time state measurement of Document Object Model mutations and session logging, contingent upon a user-authorized processing flag. A context analysis and inference engine transforms the resulting raw data cluster into a high-density natural language summary, referred to as the contextual session essence, by executing on-device machine learning inference for intent classification and entity extraction. The query augmentation module intercepts user …

Process For The Preparation Of Uridine Triacetate, Anonymous

Defensive Publications Series

The present invention provides a process for the preparation of Uridine Triacetate

System For Managing Ai-Generated Interactive Modules With A Sandboxed Container, Nathan Grabaskas, Fredrik Ihre, Michael Bausor, Megan Pusey, Levi Zombori, Liam Roche

Defensive Publications Series

Digital platforms designed for static content may face challenges integrating dynamic, AI-generated interactive micro-applications in a secure manner. This disclosure describes a system for managing these modules using an interactive module container (IMC). The IMC can function as a sandboxed architectural layer that encapsulates a module's code, data, and state. The IMC may mediate interactions with backend services and a host environment through an abstracted application programming interface. The system may also feature a partitioned data architecture to manage private user data and creator-controlled data with granular permissions. This approach can provide a framework to facilitate the creation, distribution, and …

Navigational Path Reversion Analysis From A Prior Divergence Point, Ashutosh Srivastava

Defensive Publications Series

Vehicle navigation systems may calculate prospective routes from a user's current location but may not evaluate the potential benefit of turning around to a prior divergence point. A system can address this by storing data for an unchosen alternative path and its associated divergence point from a selected route. The system can monitor real-time conditions, such as traffic congestion, for both the active route and the stored alternative path. If a trigger condition is met, for example, a significant delay on the active route, a reversion calculation can be performed. This computation can determine an estimated time to backtrack to …

A Multi-Agent Framework For Dynamic Geospatial Acoustic Characterization, Lenord Melvix

Defensive Publications Series

Characterizing the acoustic environment of a geospatial region may be challenging due to limitations in some existing data sources, which can be outdated, geographically broad, subjective, or anecdotal. This document describes a multi-agent computational framework for dynamic geospatial acoustic characterization. The system can utilize a collection of specialized software agents to ingest, process, and synthesize data from multiple heterogeneous sources, such as street-level and aerial audio recordings, user-generated content, and official data feeds. For example, agents can perform tasks such as data sourcing, denoising, source-specific characterization (e.g., vehicular, industrial, human), and temporal synthesis. This framework can be used to produce …

Estimating Geospatial Entrances Via Multi-Agent 3d Contextual Alignment, Lenord Melvix

Defensive Publications Series

To address imprecisely placed entrance markers for geospatial entities in digital maps, for instance, for new or low-traffic locations with sparse data, a multi-agent computational system can be utilized. The system can process various data sources, including user-supplied media such as photos and videos, to generate a three-dimensional (3D) model of an entity's structure and identify potential entrances. Concurrently, the system may construct a 3D contextual model of the surrounding region using data such as building footprints and road networks. An iterative alignment process can position the entity's 3D model within the regional model based on a set of logical …

Automated Analysis Of User Logs Using Large Language Models In An Agentic Workflow, Sha Li, Chenjie Yu

Defensive Publications Series

Analysis of user interaction logs can be challenging because manual review may not be scalable and aggregated data analysis can obscure the chronological context of user behavior. Systems and methods for automated analysis can use a structured agentic workflow. This workflow can programmatically extract raw, time-ordered session logs and can utilize a large language model, guided by a prompt engineering subsystem, to perform analytical tasks such as classification, summarization, and reasoning on the sequential data. This approach can facilitate scalable and standardized analysis of user behavior by preserving the temporal detail of individual sessions, which may enable AI agent for …

Trust Based Intelligent Bidding Mechanism For Selecting Efficient, Highly Rated And Suitable Worker Agents, Aditya Kesarwani, Sushanth Patil, Sunil Pareek

Defensive Publications Series

A system including a trust-based intelligent bidding mechanism is proposed herein that addresses the critical challenge of selecting an appropriate agent within an agentic artificial intelligence ecosystem, where users and customers often struggle to evaluate agents, resulting in suboptimal outcomes. This innovative system incorporates bidding agents and a trust layer that facilitates the selection of trustworthy agents for user task execution. Thus, the system rapidly and accurately provides users with appropriate worker agents while considering other factors such as cost, ratings, and user feedback.

System For Autonomous Behavioral Verification And Remediation Of Migrated Database Code, Khushmeet Rekhi

Defensive Publications Series

The migration of database code may result in data corruption when static translation tools do not fully account for behavioral differences between source and target platforms, for example, in rounding or null value handling. A dynamic verification approach can address this. A system may passively observe a legacy database to capture truth vectors, which can be records linking transaction inputs to their verified outputs. Translated code can then be executed in an isolated sandbox environment using these inputs. A semantic comparator may analyze the new output against the legacy output from the truth vector. If a material discrepancy is found, …

Conscious Ai Thought Origination In Llm, Shreyas Kc, Yu Gu

Defensive Publications Series

The present disclosure relates to the field of Artificial Intelligence (AI), and more specifically to conscious AI systems integrated with Large Language Models (LLMs) for autonomous ideation and decision-making. The present disclosure introduces a consciousness layer to a fine-tuned LLM, enabling the model to continuously generate candidate topics, rank them using a weighted scoring algorithm, and select the highest-priority topic for ideation. The consciousness layer captures and stores intermediate outcomes, embeddings, agent actions, and metadata, which are vectorized and re-injected into the LLM’s context to maintain continuity. This loop operates without external prompting, emulating humans like spontaneous thought and topic …

Method And System For Secure Re-Registration Of Unified Payments Interface Accounts, Alok Roy

Defensive Publications Series

The present disclosure relates to a secure method and system for re-registration of a Unified Payments Interface (UPI) account, which employs a Cloud-Backed Device Continuity Token (CDCT). The method includes generating the CDCT during initial user registration using a one-way hash function based on a random number, a mobile number, and a timestamp. The CDCT is securely stored in both a backend server of a UPI payment application provider and in a user cloud identity vault. During a re-registration attempt on a new device, the presence and authenticity of the CDCT are validated. If the token matches, re-registration is allowed, …

System And Method For Emotion-Gated Linguistic Model Training Using Multimodal Emotional Confidence Evaluation, Chiranthan Niranjan

Defensive Publications Series

The presented proposal discloses a system and method for controlling linguistic model training using multimodal emotional confidence gating. The proposed system receives audiovisual media comprising spoken dialogue and associated visual, acoustic, and contextual signals, and automatically segments the media into scene portions based on detected emotional stability characteristics. A multimodal emotion analysis module generates an emotional confidence score for each scene portion by fusing facial expression features, vocal prosody parameters, temporal emotional consistency indicators, and contextual correlation data. A training control module compares the emotional confidence score against a configurable threshold and selectively authorizes or suppresses linguistic parameter updates of …

Delta-Driven Data Rebuilding System With Integrity Verification Via Layered Checksum, Alok Roy

Defensive Publications Series

A system and method for reconstructing and validating versions of a data record. The system continuously monitors and stores data records, data changes and checksums of a plurality of versions of each data record after every operation. Upon receiving a request from a user device to roll back to a target version of the data record the system determines proximity of the target version to first and last versions of the data record and determines traversal direction based on the proximity of the target version. The system generates target version of the data record by traversing through data changes in …

Acoustic Watermarking For Cross-Device Workflow Facilitation, Dinoop Dayanand, Zixiao Zhao, Yong Ni, Zhikai Fan, Hemen Chhatbar

Defensive Publications Series

Facilitating user actions between a media playback device and a separate personal device (e.g., a smartphone, smart watch, or wearable device) can present challenges. For example, methods that rely on shared user accounts may be less suitable for public or shared displays, while others, such as those using visual codes, can involve user actions that might interrupt a passive viewing experience. A data payload, such as a product identifier, can be embedded as an acoustic watermark into an audio signal broadcast from a source device. A separate receiving device can use its microphone to passively detect and decode this watermark …

System For Epistemologically-Informed Text Generation With Language Models, Kenneth Steimel, Aman Sardana, Scott Dozier

Defensive Publications Series

Proposed herein is a system that enables Large Language Models (LLMs) to automatically generate linguistically appropriate hedging language that accurately reflects the reliability of underlying information sources. By extracting multi-dimensional epistemological metadata (source authority, temporal relevance, evidential support) from knowledge base documents and integrating this metadata directly into LLM generation processes through augmented attention mechanisms, the system produces responses where confidence expressions match actual source reliability. The approach addresses the "confidently incorrect" problem in high-stakes applications (medical, legal, financial) by ensuring LLMs communicate uncertainty appropriately, using domain-specific hedging conventions and continuous feedback-driven refinement.

Reference-Guided Generative Augmentation Of Low-Quality Images, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Many photo archives, e.g., personal photo libraries, suffer from poor quality due to factors such as capture with older, low-resolution cameras, motion blur, etc. Such images, while possibly holding significant sentimental value, are visually unsatisfying and unsuitable for printing or for high-resolution display. This disclosure describes techniques that generatively fill in contextually accurate detail in a low-quality image. Multimodal analysis of the image is performed to detect key regions of interest (faces, objects, etc.) that are low quality (blurred, pixelated, etc.). These regions are used to retrieve relevant, high-fidelity reference images from personal and global data corpora. The resulting multimodal …

Smart Recurring Payment Auditor For Bait-And-Switch Mitigation, Prajna Shetty, Alok Roy

Defensive Publications Series

The present disclosure relates to the field of digital payment security, in particular to a system and method for mitigating bait-and-switch practices in recurring digital payment systems. The smart recurring payment auditor disclosed herein operates at a network layer of the payment infrastructure. The smart recurring payment auditor employs a multi-modal deep learning ensemble, advanced bitmapped feature encoding and temporal pattern synthesis to analyse recurring payment behaviour. Further, the smart recurring payment auditor integrates global merchant telemetry, user behavioural feedback, and descriptor intelligence to detect and score deceptive recurring billing schemes. Furthermore, upon identification of a suspicious pattern, the smart …

System And Method For Distributed Ai Model Processing Using Commodity Graphic Accelerators With Intelligent Workload Orchestration, Shreyas Kc, Yu Gu

Defensive Publications Series

This present disclosure relates to the field of Artificial Intelligence (AI), in particular to a system and method for distributed AI model processing using commodity graphic accelerators with intelligent workload orchestration. A system and method are provided for registering and utilizing commodity hardware equipped with graphic accelerators for distributed Artificial Intelligence (AI) model inference in both batch and real-time processing environments. The system comprises a hardware registration module for onboarding GPUs and other graphic accelerators, an AI model registration module for cataloguing models and their specifications, and an AI-based orchestration agent that analyses model characteristics, including complexity, data volume, feature …

Replay Time Based Cleanup Cache, R V Vighnesh

Defensive Publications Series

The present disclosure relates to the field of data processing, in particular to a time-based cleanup cache for optimizing deduplication in transaction processing systems. The cache organizes deduplication entries based on transaction dates and maintains only a minimal composite key required for unique identification, thereby improving both memory utilization and operational efficiency. The cache employs a deterministic cleanup process, wherein expired entries are automatically removed at predefined intervals, ensuring consistent performance and scalability under varying traffic conditions. Further, the cache is integrated into existing statestore workflows for replay validation and includes configurable capacity constraints, thereby enhancing service reliability, reducing infrastructure …