Digital Commons Network^™

Transaction-Outcome Driven Adaptive Logging, Chao Feng, Kelu Zhang, Wenliang Li, Peng Xu, Xiangjun Meng

Defensive Publications Series

Presented herein is a system, referred to as Transaction-Outcome Driven Adaptive Logging (TODAL), that is an innovative system that resolves the critical trade-off between comprehensive diagnostic logging and operational efficiency on complex network devices. It achieves this by capturing all log data at the highest verbosity into an internal buffer, then intelligently processing and outputting only key summary information for successful operations, while providing full detailed logs exclusively for failed transactions. This approach not only ensures comprehensive troubleshooting data is always available when needed, but also significantly reduces system resource consumption and extends the effective retention period of relevant logs.

An Ai Enabled Enterprise Question-Answering (Qa) System Optimized For Scalability, Privacy Awareness And Efficiency, Hp Inc

Defensive Publications Series

A cross-team enterprise chat system comes with a set of challenges, not typically addressed in an out of the box solution. A large enterprise tends to have hundreds of thousands of unstructured documents that continues to grow exponentially in number over time. A standard RAG system or a traditional Question-Answer Mapping (QA) AI agent built on top of such a corpus would be impractical and inefficient as it would need to comb through the entire knowledge base to fetch relevant data to the user’s query. The existence of data in multiple silos with different teams further complicates the issue, as …

Adaptive Behavioural Session Control For Shared Printers Using Machine Learning–Based Threat Analytics, Hp Inc

Defensive Publications Series

The present disclosure relates to device security for shared peripherals, particularly enterprise printers and multifunction devices (MFDs). More specifically, it pertains to adaptive session management, user authentication, and AI-driven threat analytics using behavioral modelling and job accounting data.

Perpendicularity Gauge For Additive Manufacturing, Hp Inc

Defensive Publications Series

This disclosure relates to the field of dimensional verification in additive manufacturing processes, and more particularly to the identification of perpendicularity deviations in additively manufactured parts intended for assembly.

Intelligent Meeting Overflow Management System, Hp Inc

Defensive Publications Series

This disclosure relates to the field of workplace collaboration technology, specifically to systems that manage meeting schedule conflicts and overflow scenarios in enterprise environments.

Smart Ap Selector For The End Users By 3f-Isa, Hp Inc

Defensive Publications Series

In order to solve the problem as when the user encounters worst situation where system interference by DDR clock and the AP signal is weak, the device fails to establish a connection or cannot recognize the AP at beginning., and as a result, the exist mechanism – RFIM cannot be triggered. We want to offer the 3F-ISA mechanism including flick interference, formulate signal and filter AP that moving the exist mechanism enable forward and implement collection and categorize APs information mechanism and finally filter available APs information to user to improve user experience.

Automated Web Booking Using Ai-Driven Browser Automation System, Benjamin Albert Azose, Jonathan Jerome Azose

Defensive Publications Series

Systems and methods are disclosed for automatically identifying and initiating booking operations based on booking availability in online reservation platforms. An artificial intelligence (AI)-driven browser automation system monitors booking platforms/interfaces on websites to detect changes in availability and infer patterns associated with the release of new booking slots. Based on observed changes in availability over time, the system estimates when new availability is likely to become accessible. The system may periodically interact with the booking platform by navigating webpages, submitting forms, retrieving availability information, or analyzing page content. Once a predicted availability release time is determined/predicted, the system schedules and …

System For Automated Offer Generation With Transaction Classification And Interactive Guidance, Morgan Robins, Matthew Miceli

Defensive Publications Series

Systems for generating employment offers can involve manual data entry, which may be inefficient and introduce errors that can lead to delays in a hiring process. An automation framework may be integrated within a host platform, for example, an applicant tracking system, to programmatically generate employment offer documents. The system can ingest data from various sources, such as approved requisitions and candidate profiles, and can use configurable schemas to populate offer templates. The framework could also include a logic engine to classify a transaction type, a validation module to audit an offer against business rules, and an interactive interface to …

Selectively Insulated Fastener For Signal Transmission In A Conductive Housing, Josh Cheng, Zoro Chang, Averill Chang

Defensive Publications Series

A system may utilize a structural fastener, such as a screw, as a dual-function component in compact electronic devices (e.g., smartphones, wearables, tablets). The fastener can be constructed from a conductive material and feature a selectively applied insulating coating on certain surfaces, for example, the threaded shank that engages with a conductive housing. The head of the fastener and a portion of its tip may remain uncoated to serve as external and internal electrical contact points, respectively. This configuration can allow the fastener to provide both mechanical fastening and an electrical conduit. This approach may facilitate a space-efficient, hidden wired …

Post-Silicon Performance Prediction, N/A

Defensive Publications Series

The present disclosure is directed to generating architecture-aware voltage-frequency (VF) scaling curves for semiconductor designs utilizing logic depth normalization to predict post-silicon performance across diverse process, voltage, and temperature (PVT) corners. An approach involves ingesting raw library characterization data for representative standard cells and converting target frequencies into a normalized metric based on cell-specific propagation delays. By iterating through multiple critical path compositions, the approach can identify a worst-case stage depth that represents the architectural speed limit of the design across all corners. This limiting constraint is then mapped back to the raw delay data across a full voltage spectrum …

Visual Search Application Content Matching Publication, Thomas Mccolgan

Defensive Publications Series

A system and method for generating application installation advertisements based on visual search queries. The approach involves receiving an image input and performing content or entity recognition to identify objects within the image. An index of in-app content is maintained, linking visual or entity information to deep links within applications. The system matches the recognized visual query to specific in-app content and dynamically generates an advertisement. Upon user interaction, the advertisement facilitates the installation of the corresponding application and directly navigates the user to the matched content through a deferred deep link.  Keywords: Visual search, application installation, deep linking, content …

Aperiodic Geometric Stabilization Of Bi-Ionic Plasma Flows, Daniel Schramm

Defensive Publications Series

This disclosure specifies a method for preventing magnetic "pinch factor" instabilities and thermal collapse in high-energy plasma confinement and propulsion systems. Unlike traditional systems that rely on active computer-controlled feedback loops to manage resonance, this framework utilizes the Golden Ratio (approximately 1.618) as a structural constant within the rotational velocity vectors of the plasma. By ensuring a non-repeating rotational ratio between ionic streams, the system mathematically forbids periodic harmonic resonance, creating a self-stabilizing Quasicrystal Magnetic Lattice. This allows for the recycling of waste energy into the stabilization field, ensuring a high-efficiency, win-win energy loop.

2. KEYWORDS

Quasicrystal Magnetic Lattice; Golden …

Flexible Pipes Use As Offshore Activity Noise Suppression System

Defensive Publications Series

Offshore activity can create significant noise pollution in the ocean. This can occur in offshore drilling but is prominent and severe in pile driving of offshore wind foundations.

A "bubble curtain" has been shown to be an effective solution in reducing noise from offshore activities. See BBC article "How bubble curtains protect porpoises from wind farm noise" for details and benefits of such an application.

By creating a porous flexible pipe, with on-bottom stability provides a step change over current perforated hoses. Methods for creating a porous pipe are detailed in attached sketch's

Regulatory Calendar-Driven Periodic Requalification Without Document Change Analysis, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for triggering employee requalification based on regulatory calendar expiration rather than document change detection, applicable to compliance domains where periodic recertification is mandated regardless of whether reference content has changed. Background Many compliance regimes mandate periodic employee retraining on fixed schedules: annual harassment training, biennial OSHA refresher courses, quarterly anti-money-laundering updates. These requirements are triggered by the passage of time, not by changes to authoritative documents. The approach described here manages requalification purely through calendar logic, with no document ingestion, versioning, or analysis of any kind. Technical Description The system maintains a regulatory_calendar table mapping each compliance …

Clickstream Behavioral Pattern Analysis For Employee Knowledge Gap Inference In Enterprise Software, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits by analyzing clickstream and workflow interaction patterns within enterprise software applications, without processing any natural language communications or administering formal assessments. Background Employees who lack knowledge in a particular area exhibit distinctive behavioral patterns when interacting with enterprise software: they dwell longer on form fields they are uncertain about, access help documentation more frequently, avoid features they do not understand, and show higher randomness in their navigation. These patterns are observable from standard UI event telemetry. Technical Description The system captures UI events from instrumented enterprise applications. Each event contains: timestamp, employee_id, …

Implicit Task Performance Signal Analysis For Employee Knowledge Gap Inference, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits from declining task-completion efficiency and elevated error rates in domain-specific workflows, without processing natural language communications or administering formal assessments. Background Employees who have knowledge gaps in a particular domain tend to complete tasks in that domain more slowly and with more errors over time. These implicit behavioral signals are available from standard enterprise system metrics but are not commonly used as inputs to knowledge management systems. The approach described here treats efficiency decline and error rate elevation as primary gap detection signals. Technical Description The system ingests task-completion metrics from enterprise …

Multi-Modal Signal Fusion Architecture For Employee Knowledge Gap Detection Across Heterogeneous Data Sources, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits by fusing gap signals from multiple independent data modalities, including voice transcripts, clickstream behavior, and learning management system interaction patterns, into a unified deficit determination. Background Any single data source for gap detection has blind spots. Natural language analysis misses employees who never ask questions. Clickstream analysis misses employees who work outside enterprise software. Assessment scores miss employees who test well but perform poorly. The approach described here combines multiple modalities to produce a more complete picture of employee competency. Technical Description The system integrates gap signals from three or more independent …

Behavioral Feature Vector Drift Detection For Post-Remediation Knowledge Deficit Recurrence Monitoring, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting recurrence of previously remediated employee knowledge deficits. This publication describes an approach that uses behavioral feature vectors derived from user interaction patterns rather than semantic embeddings derived from natural language text. Background After an employee completes remediation for a knowledge deficit, organizations need to determine whether the same deficit comes back during subsequent work. One established approach compares dense semantic embeddings of text communications against stored vector fingerprints using cosine similarity. The approach described here operates on a fundamentally different input type: behavioral interaction patterns encoded as feature vectors, not semantic representations of language. Technical …

Shannon Entropy Workflow Analysis For Employee Knowledge Gap Inference, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits by analyzing the entropy of user interface interaction patterns during enterprise software workflows. Background Employees who lack knowledge in a particular area tend to exhibit uncertainty when performing related tasks in enterprise software. This uncertainty shows up as non-linear navigation, backtracking, excessive pausing, and frequent help-documentation access. The approach described here quantifies this uncertainty using information-theoretic entropy measurement rather than analyzing what the employee says or how they score on assessments. Technical Description The system instruments enterprise UI workflows by injecting event listeners that capture a continuous stream of discrete UI events. …

Hardware-Attested Assessment Execution In Trusted Execution Environments For Tamper-Evident Compliance Records, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for generating tamper-evident employee assessment records using hardware-enforced trusted execution environments, providing integrity guarantees at the silicon level rather than through application-layer state management. Background Regulated industries require proof that employee assessment records have not been altered. Application-layer approaches manage validity through state machines and cryptographic hash chains verified by the application itself. The approach described here moves the trust anchor to the hardware, using the processor's built-in security features to guarantee record integrity independently of any software. Technical Description The assessment execution environment runs inside a hardware-isolated enclave. Compatible hardware platforms include Intel TDX (Trust Domain …

Statistical Process Control With Cusum Charts For Post-Remediation Knowledge Deficit Recurrence Detection, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for monitoring whether previously remediated employee knowledge deficits recur, using cumulative sum control charts applied to operational performance metrics rather than semantic embedding similarity. Background After remediation, organizations need to detect whether the same deficit returns. One approach stores vector embeddings and computes cosine similarity against incoming communications. The approach described here treats the employee's performance as a continuous signal and applies statistical process control methods borrowed from industrial quality management to detect shifts. Technical Description When a knowledge gap is marked as remediated, a snapshot service records the employee's relevant KPI baselines into a remediation_snapshot record …

Admin-Configured Role Template Task Mapping For Document-Change-Triggered Requalification, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for targeting employee requalification after document changes using administrator-configured role templates that map tasks to document sections, rather than automatically generated assessment-to-section attribution records. Background Organizations define roles as collections of tasks, each requiring knowledge of specific document sections. When documents change, the question is which employees need retraining on which tasks. The approach described here uses the existing admin-configured role structure as the targeting mechanism. Technical Description Administrators define role templates in a role_templates configuration table. Each entry contains: role_template_id, task_id, doc_id, and section_id. A single role template may contain dozens of task entries, each mapped …

Comparative Quiz Score Regression For Document-Change-Triggered Employee Requalification, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for identifying which employees require requalification after authoritative document updates by administering updated assessments and comparing scores against historical performance, rather than tracing document changes to employees through section-level attribution records. Background When a reference document is updated, one approach maps the changes to the specific document sections each employee was previously assessed on, then targets requalification to only those employees whose assessments covered changed sections. The approach described here takes a different path entirely: instead of analyzing what changed in the document and tracing it back to employees, it generates a new assessment from the updated …

Petri Net Conformance Checking For Knowledge Gap Detection From Enterprise Workflow Event Logs, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits by analyzing conformance deviations between employee process execution patterns and expert-derived reference process models, using process mining algorithms on structured workflow event logs. Background Enterprise workflow systems generate detailed event logs recording every step an employee takes in a business process. When an employee repeatedly deviates from the expected process (skipping steps, adding unnecessary steps, executing steps out of order), this pattern can indicate a knowledge deficit in the underlying domain. The approach described here applies industrial process mining techniques to detect these deviations and attribute them to specific knowledge domains. Technical …

Workflow Step Authorization Mapping For Sop-Change-Triggered Employee Requalification, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for identifying which employees require requalification when standard operating procedures are updated, using workflow step definitions and employee authorization records as the primary lookup mechanism. Background In regulated environments, business workflows are modeled as sequences of steps, with each step linked to specific sections of standard operating procedures. When an SOP is revised, the challenge is identifying precisely which employees are affected. The approach described here uses the existing workflow-step-to-SOP configuration and employee authorization tables as the targeting mechanism. Technical Description The system maintains a workflow_definitions store where each business process (change control, incident management, CAPA execution, …

Graph Neural Network Structural Skill Gap Prediction Via Link Prediction On Employee-Skill-Task Graphs, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for predicting employee knowledge deficits by analyzing the structural topology of an organizational skill dependency graph using graph neural networks. Background Traditional approaches to detecting employee knowledge gaps rely on analyzing what employees say (natural language processing) or how they score on assessments (threshold comparison). The approach described here predicts gaps from the structure of relationships between employees, skills, and tasks without processing any communications or administering any assessments. Technical Description The system constructs a multi-partite graph with three node types: employee nodes E, skill nodes S, and task nodes T. Edges connect employees to skills they …

Knowledge Dependency Graph Traversal For Document-Change-Triggered Employee Requalification, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for determining which employees require requalification when authoritative reference documents are updated. This publication describes an approach that uses a knowledge dependency graph rather than section-level source-attribution records with reverse-index traversal. Background When a reference document changes, organizations need to identify which employees must be retrained and on what content specifically. One approach maintains per-assessment source-attribution records binding each employee's assessment to the specific document sections tested, then performs a reverse lookup when sections change. The approach described here uses a separate knowledge graph that abstracts documents into atomic concepts with dependency relationships. Technical Description The system …

Integrated Aperiodic Geometric Stabilization For Soft-Robotic Actuation And Kinetic Damping Lattices., Daniel Schramm

Defensive Publications Series

This disclosure establishes the foundational math for high-precision, low-energy soft robotics and protective apparel. By utilizing the Golden Ratio (\phi) as a rotational and structural constant, we eliminate the "Pinch Factor" (mechanical resonance) and enable near-total energy recovery (92%+) in dynamic systems.

Core Technical Pillars:

1. Aperiodic Joint Articulation: Robotic joints and suit hinges are tuned to a non-integer frequency (f_1 = \omega, f_2 = \omega \cdot \phi). This prevents constructive wave interference, ensuring fluid motion without "dead zones" or "locking."

2. Kinetic Waste Harvesting: Using the Tractor Gradient Identity F = \nabla (\mathbf{m} \cdot \mathbf{B}), the system converts deceleration …

Kinetic Waste Recovery Via Induced Dipole Moment Gradients, Daniel Schramm

Defensive Publications Series

This disclosure specifies a method for capturing and recycling kinetic and electromagnetic waste energy in high-energy plasma environments. By utilizing a controlled magnetic field gradient and the induced dipole moment of ionized exhaust or ambient particles, the system generates a restorative force (F_{tractor}) that stabilizes the propulsion core and feeds recovered energy back into the primary power lattice. This "Tractor Beam" mechanism ensures that energy normally lost to entropy is instead used for system stabilization and ionic shield reinforcement.

2. KEYWORDS

Induced Dipole Moment Gradient; Kinetic Waste Recovery; Tractor Beam Propulsion Stabilization; Magnetic Gradient Force; Energy Recycling Lattice; STALWART Energy …

Binary Credential Validity Model With Document-Change-Triggered Invalidation And Cryptographic Hash Verification, Kenneth Davis

Defensive Publications Series

Field

Computer-implemented systems for maintaining employee competency credential validity. This publication describes a two-state model (valid/invalid) with document-level change detection and cryptographic hash verification. It does not use proposition-level granularity, multi-state lifecycle management, or validity bitmaps.

Background

In regulated industries, organizations must keep competency records showing that employees have been trained on the current version of authoritative reference materials: standard operating procedures, regulatory guidelines, product specifications, and similar documents. When a reference document gets updated, employee credentials linked to it may need invalidation followed by retraining. Commercial systems like Veeva Vault Training Impact Assessment and MasterControl Training Management handle this …