Digital Commons Network^™

Automated Bug Tracking And Resolution Using An Artificial Intelligence Agent, Alankrit Kharbanda, Sowmya Dayanand

Defensive Publications Series

Traditional bug triage and resolution can be inefficient and time consuming. This disclosure describes techniques of bug triage that use artificial intelligence (AI) agents trained on domain-specific data to deliver accurate, actionable insights for bug analysis. A bug triaging AI agent is trained on a dataset that includes historical bug dumps from bugs and associated playbooks, design documents, customer communications over email or messaging, etc. Such targeted training provides domain-specific expertise, enhanced AI agent accuracy (minimizing hallucinations) when generating actionable insights such as potential next steps, identifying potential root causes and relevant internal documentation, providing call-the-expert suggestions, etc. The AI …

A System, Method, And Computer Program Product For Dynamically Adjusting Currencies Using Machine-Learning Models, Libby A. Kurien, Joshua Quiroz

Defensive Publications Series

This paper proposes a novel approach of using real time sentiment analysis based on retrieval augmented generation (RAG) for foreign exchange (forex) pricing. It argues that large language models (LLMs) can capture the semantic and emotional aspects of news articles and social media posts that affect the forex market dynamics. Traditional forex trading relies heavily on technical and fundamental analysis. However, the advent of big data and sophisticated text analysis techniques using LLMs have opened up new avenues for analyzing market sentiments in real time that can be extended to Forex. LLMs when used in combination with RAG, an architectural …

Using Off-The-Shelf Llm Prompting For Query And Subquery Intent Quality Evaluation, Pulkit Jain, Josh Ain, Vy Thuy Nguyen, Lin Dong, John Cockrell, Aditya Mone, Tushar Chugh

Defensive Publications Series

Evaluation of search query and subquery quality can be beneficial for information retrieval systems, as some evaluation methods that use human raters may be time-consuming, costly, and difficult to scale. This disclosure describes a method and system for automating query quality evaluation that may use a prompted, off-the-shelf large language model (LLM). A process can begin by creating a small, curated "golden dataset" of positive and negative examples, for instance, from historical human ratings. This dataset can then be used to engineer a detailed prompt to guide an LLM to perform classification tasks on new query-subquery pairs, such as identifying …

Self-Learning, Iterative Agent For Root Cause Analysis Of Service Failures, N/A

Defensive Publications Series

A learning agent designed to automate the root cause analysis (RCA) of failures within complex distributed systems. The agent can be configured to perform iterative generation and investigation of hypotheses. When a service failure alert is triggered, the agent may ingest data from various sources, including live monitoring data and historical incident records. Based on this information, the agent may be configured to formulate a ranked list of potential hypotheses for the cause of the failure. The agent then may be configured to systematically investigate each hypothesis by gathering and analyzing evidence from relevant data sources until a root cause …

Tariff Forecasting To Inform Dynamic Pricing And Advertising Bidding For Online Retail, Kshitij Gaikar, Pushkar Mittal

Defensive Publications Series

A system is described for addressing challenges related to international trade tariffs in e-commerce. The system is configured to ingest global tariff schedules, including published future changes, and can use an artificial intelligence (AI) model to map retailer product stock-keeping units (SKUs) to Harmonized System (HS) codes to assist in determining applicable tariffs. The system may then calculate current and anticipated landed costs. This analysis can be used to generate pricing and advertising bid recommendations for retailers and to provide proactive alerts to consumers about potential upcoming tariff-driven price adjustments. Such features may support price and advertising efficiency for retailers …

A System For Disambiguating Code-Switched Speech Using Visual Context, Mithun Kumar S R

Defensive Publications Series

Natural Language Understanding systems can encounter challenges when resolving lexical ambiguity in code-switched speech, particularly with inter-language homonyms that may be phonetically similar or identical but have different meanings. These challenges can be compounded by a reliance on audio-only input, which may not capture environmental context that can be beneficial for disambiguation. The disclosed method addresses this by concurrently processing an audio stream containing a user's utterance and a video stream capturing the user's visual context. The system can be configured to identify potential homonyms in the transcribed speech and to extract semantic tags, such as for objects or scenes, …

Managing Device States Based On Notification And User Context, Harshad Dhabu, Abhijit Adsule

Defensive Publications Series

Computing devices, such as wearable devices, may experience increased power consumption due to device wake-ups associated with high-priority notifications, and some notification management systems can offer limited granular control, for example, by muting notifications on a per-application basis. This disclosure describes a system for context-aware notification handling where alerts may be processed as silent by default. A decision-making engine can analyze a user's context, such as current activity and location, and a notification's context, including its content, sender, and origin application. By combining these factors, the system can determine whether to trigger a device wake-up for a notification that meets …

Container-Based Management Of Ephemeral Applications, Harshad Dhabu, Abhijit Adsule

Defensive Publications Series

The persistent installation of infrequently used applications on a computing device, such as a smartphone or wearable device, may consume storage and processing resources, and some management techniques may not fully address related issues like visual clutter in an application launcher. A method is described for managing applications through a container system that can facilitate on-demand, ephemeral execution. When a user launches an application, a system may dynamically provision an available version from a source, such as a remote application repository, and execute it within an isolated container. Upon session completion or following a period of inactivity, the system can …

Coordinated Data Collection For Event Correlation Analysis, Theodore Obbard, David Phillips

Defensive Publications Series

Independent random sampling of different data types in large-scale applications can make it difficult to analyze correlations between separate events because the data points are often collected independently. The disclosed method provides a system for coordinated data sampling that can be managed by a client-side library. Designated 'data provider' events, such as a page load, may trigger a temporary 'coordinated mode' based on a configurable sample rate. When this mode is active, multiple, distinct 'data consumer' points across the application lifecycle can be instructed to log their granular data for a given session. When not in coordinated mode, these data …

Systems And Methods For Translating Mixed-Language Audio, Mithun Kumar S R

Defensive Publications Series

Some real-time speech translation systems are architected for monolingual input and can encounter challenges, such as transcription errors or increased latency, when processing code-switched speech. The disclosed method describes a system for real-time interpretation that can ingest a raw audio stream and utilize a dual-axis model to concurrently identify both a spoken word and its language of origin. This process can produce a token stream with associated language identifiers. A subsequent syntactic bridge module can analyze this mixed-language stream to generate a language-independent grammatical representation of the utterance's semantic content. This abstract structure may then be used to synthesize a …

Sequenced Vehicle Guidance For Traffic Congestion Mitigation, Gaurav Gupta

Defensive Publications Series

This disclosure describes systems and methods for mitigating vehicular gridlock, which can occur when circular dependencies between vehicles contribute to a traffic standstill. A disclosed system may utilize a coordination engine, for example a cloud-based service, that can receive real-time location data from client devices (e.g., smartphones, in-vehicle infotainment systems, wearable devices) associated with vehicles. The engine can construct a digital representation of the gridlocked area, which may include a dependency graph modeling the physical blocking relationships between vehicles. A gridlock resolution algorithm may then analyze the dependency graph to compute a sequence of vehicle movements designed to help clear …

Anomaly Detection Agent Empowered By Quantum Ai And Machine Learning, Fuming Guo

Defensive Publications Series

The present disclosure relates to an advanced anomaly detection system for high-volume log data that incorporates a dual-agent architecture consisting of a Detector Agent and an Evaluator Agent. The Detector Agent is configured to identify anomalies using hybrid quantum-classical processing techniques, including quantum-enhanced machine learning methods such as a Hamiltonian Quantum Generative Autoencoder and advanced transformer models. The Evaluator Agent critiques the outputs from the Detector Agent, providing continuous feedback for iterative improvement. This feedback loop allows for dynamic adjustments to enhance detection accuracy. Additionally, the system integrates with Splunk for real-time log data ingestion and employs a Large Language …

Automated Security Configuration For Bridges Used In Substations, Maik Guenter Seewald, Stien Vanderhallen, Marcus Smith

Defensive Publications Series

Cyber security for operational technology (OT) systems, such as electrical substations, is required by regulations and international standards covering critical infrastructure sectors (e.g., energy sector). Conventional techniques for security configuration in substation automation systems and networks rely on manual processes that fail to provide the agility and programmability needed in digital substations. To address the challenges associated with manual security configuration, the techniques presented herein provide a fully automated approach to configure network security controls for substation automation systems and networks using domain specific data models.

On-Device Multi-Modal Hazard Detection Using A Language Model, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Existing hazard detection methods often depend on cloud processing, which can introduce latency and privacy concerns. These methods may also be limited to single data modalities, lacking comprehensive contextual understanding. This disclosure describes techniques for on-device, multi-modal hazard detection using a language model or a large language model (LLM). The method involves the continuous, real-time processing of raw data streams from various sensors, such as cameras and microphones. An on-device LLM analyzes this fused sensor data to reason about the user's environment and calculate a probability of danger. The purpose is to provide timely, context-aware safety notifications to the user …

Automated Log Analysis And Incident Response, N/A

Defensive Publications Series

This technology described herein relates to automated, intelligent analysis of log data from complex software systems. The technology employs a two-tiered Large Language Model (LLM) architecture to detect anomalies and generate context-rich incident reports. The first tier LLM performs a rapid, broad analysis of all incoming log streams to flag potential issues. Flagged events are escalated to a second tier LLM with a long context window, which performs deep, multi-modal analysis by correlating log strings across services with time-series data and deployment events. The output is a high-confidence alert and a human-readable summary that explains the anomaly, its likely impact, …

Intermediate Representation Randomization For Unique Software Builds, Joshua Mason

Defensive Publications Series

Software applications distributed as identical copies may present a vulnerability because an exploit discovered in one instance could be replicated across others due to shared internal structures. This publication describes a method to address this vulnerability by generating unique software builds, and which in instances could be used for each download request. The method operates by compiling an application into an intermediate representation, such as a low level virtual machine intermediate representation (LLVM IR) bytecode. Upon receiving a download request, the method performs randomized transformations on the LLVM IR elements, thereby changing the locations of functions, basic block ordering, instruction …

Nanosensor Communication Via Localized Cnt Resonance And Central Controller Coordination, Suma Mallapragada, Vaishnavi Sankepally

Defensive Publications Series

A system and method are disclosed for delivering information from a central controller to nanoscale sensors embedded within plant tissues and receiving information back from these sensors. The approach uses localized nanoparticles to encode binary or discrete signals, enabling remote monitoring and control of plant-associated nanoscale devices. The method preserves selective targeting of individual sensors without relying on long-range electromagnetic propagation, diffusion across large distances, or microcontrollers attached to each nanosensor. The disclosed methods cover the flow of information between the controller and nanosensors, while specific designs of proboscis-inspired delivery mechanisms or controller hardware remain open for further innovation. This …

Cognitive Fatigue Detection System For Critical Operational Environments, Giannis Tziakouris, Nadhem J Al-Fardan

Defensive Publications Series

In high-stakes operational environments that involve different network operations/management teams, such as security operations centers (SOCs), network operations centers (NOCs), and Incident Response (IR) teams, sustained vigilance and cognitive clarity are critical. Fatigue and cognitive overload can significantly compromise situational awareness, delay threat detection, and can lead to the dismissal of legitimate alerts or the mis-prioritization of critical response actions. To address such issues, a comprehensive system and method are proposed herein that provide for detecting operator fatigue in mission-critical environments by leveraging the fusion of cognitive load analytics with real-time behavioral telemetry. The proposed system integrates biometric monitoring, such …

Intelligent Fw Upgrade System, Hp Inc

Defensive Publications Series

In enterprise printing environments, firmware upgrades are centrally managed by IT administrators. However, there is no intelligent mechanism that automatically triggers firmware updates in response to recurring issues—even when those issues are already resolved in newer firmware versions. This results in repeated user disruptions, prolonged support cycles, and unnecessary manual effort to coordinate firmware rollouts. A system that can automatically correlate diagnostic data with known defect resolutions and initiate safe, policy-compliant firmware upgrades is essential to reduce downtime, enhance fleet reliability, and optimize support operations.

Flux Reactor., Peter Branton

Defensive Publications Series

The Flux Reactor primarily utilises the properties of modern highly permeable materials such as Metglas or higher.

When a flux is applied to a highly permeable material two main reactions occur. Firstly a almost instantaneous surface reaction which is a weak weak surrounding the permeable material. Then a second internal reaction the speed of this reaction depends on the properties of the material and geometry of the material I.e. a solid bar or a bar made up of thin laminated sheets stacked. The internal reaction is the bulk reaction and according to the material properties the efficiency of the flux …

Testing Methodology Of Phase-Effect-Induced Image-Quality Degradation In Optical Combiner For Ar Display Engine

Defensive Publications Series

The present disclosure generally relates to image quality testing, and more particularly, to a testing methodology of phase-effect-induced image-quality degradation in an optical combiner for an augmented reality (AR) display engine

Url Expansion With Domain Ownership Limitations, Wuyuan Li, Niraj Kumar, Krishna Tatavarthi

Defensive Publications Series

The technology herein relates to identifying uniform resource locators (“URLs”) that are eligible for expansion. URLs that are eligible for expansion are URLs that are likely to be relevant to the advertiser such that the recall and performance of served advertisements is increased while undesirable expansions, e.g., expansions to unrelated or irrelevant URLs, is decreased. URLs that are eligible for expansion are URLs that are associated with a non-hosted domain, URLs that are associated with a domain owned by the advertiser, or sitechunked reference URLs. The URLs identified as being eligible for expansion are then expanded upon, such that they …

Platform Validation Framework Sequence Diagram Conformance, Hp Inc

Defensive Publications Series

This disclosure describes a framework for clearly demonstrating that an SDK provider and Solution Clients in a distributed system conform to spec via exacting documentation utilizing sequence diagrams. The framework ensures that sequence diagrams which are shared with Solution Clients can be validated independent of release schedules.

Dual Radio Headset, Hp Inc

Defensive Publications Series

When a user using a Bluetooth Headset (call/music) and moves away from the Bluetooth Host, he experiences the audio becoming choppy or completely lost depending upon the various factors which culminates into Bluetooth range/coverage. Some headsets can operate up to 100 feet/ 30 m from the host by switching from class 2 to class 1 operation (based on proximity to the host) this helps to optimize the battery life.

Cross-Vendor Print Quality Diagnostics Via Genai, Hp Inc

Defensive Publications Series

Our idea, Print Quality Diagnostics with GenAI, employs proprietary prompt engineering techniques and specialized large language model (LLM) integration methods that create a unique approach to print quality diagnostics. By utilizing carefully crafted LLM prompts and specialized system architecture, our product enables cross-vendor compatibility, going beyond existing solutions which tend to be vendor specific. The system integrates defect classification, reasoning explainability, and remediation generation into a unified architecture. Our solution dramatically reduces model development time while maintaining diagnostic accuracy comparable to traditional models.

System For Generating Immersive Experiences Via An Ai Pipeline And Sensory Protocol, Gaurav Umeshkumar Gupta

Defensive Publications Series

Current virtual reality (VR) content creation is complex, and the resulting sensory feedback from haptic devices relies on proprietary, pre-programmed effects. This limits the availability of personalized, deeply immersive experiences and creates a fragmented hardware ecosystem. The disclosed technology describes a method for generating multi-sensory VR experiences from user prompts. It uses an artificial intelligence pipeline to generate a narrative, visual assets, and a corresponding synchronized sensory track. A key component is an open communication protocol that enables standardized communication between any VR content and various haptic hardware devices. This approach facilitates the on-demand creation of cohesive and immersive experiences, …

Foldable Device Support Plate Configured To Reduce Inner Display Failure From Impact, Pj Wang

Defensive Publications Series

This publication describes a novel support plate bending structure for foldable devices that addresses the problem of inner display damage due to Z-axis movement during impacts. The inner display may be damaged from hitting internal structures upon being dropped. This invention introduces a bending structure engineered into the support plate which automatically inserts into the gap between the arm and bracket when the device is in the closed configuration. Acting as a critical stopper, this feature mitigates system Z-axis movement, thereby reducing the chances of inner display failures caused by relative motion during Z-direction impacts. This technique requires no extra …

Agentic Workflow For Root-Cause Analysis And Fix Suggestions Based On Log Differencing, Shubham Khurana, Shreya Rana, Aastha Jain, Aneesha Jain

Defensive Publications Series

Integration testing in continuous integration/development environments produces large volumes of logs containing many errors and warnings, many of which are benign or unrelated. Identifying the specific error causing a test failure amidst this noise is a major challenge for developers seeking efficient and accurate debugging. This disclosure describes techniques that leverage large language models (LLMs) to automate and abstract root-cause analyses for test failures. A sequential, multi-step pipeline comprising artificial intelligence (AI) agents accepts as input a reference to a failing test run and produces a high-value, actionable output, e.g., a summary of the root cause and a suggested code …

Correlating Cross-Service Behavioral Signals To Identify Coordinated Inauthentic Activity, Mithun Kumar S R

Defensive Publications Series

Some systems for detecting fraudulent user-generated content (UGC) can be siloed and reactive, analyzing individual pieces of content or account metrics in isolation, which may leave them susceptible to coordinated campaigns spanning multiple services. A system and method are described that can construct a unified cross-service behavioral graph to address such challenges. This graph can ingest and correlate metadata from user activities across disparate services, for example, productivity, payment, and communication platforms, to identify precursor signals that may be indicative of fraudulent intent. By analyzing patterns such as co-reviewing, temporal pulsing, and suspicious cross-service coordination (e.g., template creation), the system …

Generating Financial Risk Tiers For Geo-Located Entities Using Monetary Claims From User-Generated Content And Transactional Signals, Mithun Kumar S R

Defensive Publications Series

Moderation systems for local business platforms may have difficulty identifying certain types of financial fraud, such as overcharging or fake deposit scams, because of challenges in validating monetary claims found in user-generated content (UGC). A disclosed method can address this potential limitation by synthesizing two different data streams. A system can use technologies, for example natural language processing and computer vision, to extract unstructured financial claims and pricing information from UGC, which may include content such as text reviews and photos of menus or receipts. The system can then correlate these claims with structured, verified transactional signals from integrated payment …