Tool For Air Humidity Control Of Mjf 3d Printers, Hp Inc

Defensive Publications Series

This idea relates to a humidity control tool designed for the print chamber of Multi Jet Fusion (MJF) 3D printers. This idea introduces a system that continuously monitors and regulates humidity during printing, ensuring stable conditions for improved process control and repeatability. By maintaining a stable humidity environment in the print chamber, the tool improves print quality, reduces material waste, and enhances process reliability across varying ambient conditions.

Powder Detection On Print Carriage Cover With Rgb Camera, Hp Inc

Defensive Publications Series

We introduce a method for detecting powder accumulation on the print carriage cover in Multi Jet Fusion (MJF) 3D printing systems using an onboard RGB camera. The carriage path traverses the camera’s field of view during each layer printing cycle, enabling frame selection that clearly captures the carriage cover. This approach allows for a cover inspection after the top cover of the printer is closed, a critical moment when powder is most likely to fall and adhere to the carriage cover. The method enhances system reliability and print quality by enabling early detection of contamination without requiring additional sensors or …

A Modular Pipeline For Flatbed Content Detection And Localization With Accurate Deskew, Hp Inc

Defensive Publications Series

We present an end-to-end pipeline for localizing and deskewing one or multiple foreground objects (documents, photos, cards, receipts) placed on a flatbed scanner with a white to near-white background. The method integrates iterative morphological contrast shaping (white / black top-hats), gamma-driven diffusion, statistical region merging (SRM), distance-transform based consolidation, and Voronoi-like label propagation. A unified skew estimation interface produces deskewed, refined crops per object. This document mirrors the structural flow of a companion skew orientation disclosure while remaining self-contained and focused on the flatbed multi-object extension.

Proximity-Based Vector Database Sharing For Enhanced Rag Systems, Hp Inc

Defensive Publications Series

This disclosure proposal introduces a system for enhancing Retrieval-Augmented Generation (RAG) systems by enabling proximity-based sharing of vector databases among devices. Leveraging Bluetooth Low Energy (BLE) for device discovery and Wi-Fi Direct for high-speed data transfer, this system eliminates the limitations of isolated local vector stores and the privacy risks associated with cloud-based solutions. Key features include local library generation, secure proximity-based discovery, and dynamic integration of shared libraries. The decentralized and privacy-preserving architecture ensures secure collaboration in dynamic environments, transforming the scope of information retrieval in workplaces, classrooms, and beyond.

Wearable Docking Station For Head-Mounted Display, Karen Jean Kwan, Jasmine Soria Sears, Atieh Taghavinia, Rebecca Spiegel

Defensive Publications Series

As disclosed herein, a wearable docking station for a head-mounted display is provided. The wearable docking station may include a first arm of a neckband conforming to a neck of a user. The wearable docking station may include a second arm of the neckband conforming to the neck of the user. The wearable docking station may include a central portion of the neckband connecting the first arm and the second arm. The wearable docking station may include at least one interface for docking a head-mounted display (HMD) when the HMD is removed from a head of the user. A system …

Outdoor Optical Distribution Frame, N/A

Defensive Publications Series

The technology described in this publication relates to a high-density, weather-proof optical distribution frame (“ODF”) that enables network setup outdoors in parallel with data center construction, designed to accelerate machine learning (ML) data center capacity delivery. This frame eliminates the need to wait for lengthy building completion before initiating network deployment. By enabling earlier network readiness, this frame has the potential to shorten overall data center delivery timelines by 3 to 6 months.

Device Power And User Connectivity Optimization For Terrestrial And Non-Terrestrial Network Selection, Dang Tu Nguyen, Sooraj Sasindran, Karthick Musuvathi Janakan, Soumyadeep Paul

Defensive Publications Series

This document describes techniques to optimize device power and user connectivity for terrestrial or non-terrestrial, e.g., low-Earth orbit (LEO) satellite, network selection by a device modem. Per the techniques, the modem is configured to not perform a scan for Terrestrial networks (TNs) during Non-Terrestrial Network (NTN) signal emission gaps; instead, the modem is configured to wait for the next NTN signal availability and connect to the NTN accordingly. To do this, the telephony framework is implemented to provide the signal emission gap information at the device location to the modem such that the modem can initiate the rescan for NTN …

Private Set Intersection For Offline, Privacy-Preserving, Contact-Based Nearby Device Discovery, Kevin Yeo, Darren Krahn, Joon Young Seo, Dave Mccloskey

Defensive Publications Series

To support offline, privacy-preserving, contact-based discovery (that does not reveal the user’s contacts to nearby devices), a cryptographic protocol is needed that allows sending and receiving devices to share their encrypted identifiers and/or address books without revealing private information. This sharing needs to be implemented in a manner that avoids various types of attacks. Sharing the identifiers in a specific order is critical to avoiding certain types of attacks that may compromise user privacy. This disclosure describes a cryptographic protocol developed using signatures and private set intersection (PSI) that enables privacy-preserving, contact-based discovery. The cryptographic techniques utilize a federated identity …

Probabilistic Identity Filter For Offline, Privacy-Preserving, Contact-Based Nearby Device Discovery, Dave Mccloskey, Darren Krahn, Joon Young Seo, Kevin Yeo

Defensive Publications Series

A core component of offline, private, contact-based discovery is requiring the two devices to perform a cryptographic protocol known as private set intersection (PSI) between a list of identifiers stored at a first device and the address book of known contacts stored at a second device. However, PSI is computationally expensive. This disclosure describes a probabilistic identity filter for devices. A device can encode a set of identities using this filter that enables other devices to check if their identity belongs in this filter with no false negatives and only small false positive probabilities, while ensuring that other devices cannot …

Techniques For Dynamic Switching Between Non-Terrestrial And Terrestrial Networks, N/A

Defensive Publications Series

Maintaining a continuous satellite connection from a mobile device can be power-intensive, leading to power drain and reduced battery life. Such a connection is unnecessary when more efficient connectivity options are available. This disclosure provides techniques for intelligent management of satellite connectivity. Per the techniques, a mobile device continually monitors the availability of Wi-Fi networks. If the mobile device is currently connected to a satellite network and a Wi-Fi network becomes available, the device proactively detaches from the satellite network and connects to the Wi-Fi network. If the Wi-Fi connection is subsequently lost, the device automatically initiates re-attachment to the …

Using Key Batches To Optimize Issuance Of Device Credentials, Darren Krahn, Dave Mccloskey

Defensive Publications Series

When resolving known contacts device-to-device, a credential and its corresponding key can be tracked if it is used multiple times. While using each credential or key only once addresses the privacy issues, providing single-use credentials or keys requires an efficient way to issue many credentials to many keys for individual devices without straining on-device cryptographic hardware or server-side identity services. This disclosure describes the use of key batches to construct an efficient mechanism for certifying many keys with a single request to device cryptographic hardware and a single request to an identity server. In an example implementation, device attestation is …

“Processes For Preparation Of 1-Perfluorohexyl Octane”, Anonymous

Defensive Publications Series

The present invention relates to a process for preparation and purification of 1-Perfluorohexyloctane.

Leveraging Large Language Models For The Analysis Of Network Security, Claudio Criscione

Defensive Publications Series

Developing security scanners to identify vulnerable software within the network of an organization can be expensive and error prone: for each new software or version thereof, a security engineer deploys a live instance and determines fingerprintable properties that can be automatically identified. This disclosure describes techniques that leverage large language models (LLMs) to perform attack surface management functions such as the discovery of software that is exposed to attackers and the vulnerabilities of such software. A reconnaissance scan of the network perimeter determines HTTP endpoints within the network. The HTTP endpoints are fed to the LLM alongside a prompt instructing …

On-Demand Generation Of Searchable Ephemeral Web Addresses Via Agentic Browser Actuation, Tal Snir

Defensive Publications Series

Traditional web crawlers may face challenges indexing certain types of dynamic, ephemeral web content, such as customized product comparisons or filtered lists, as this content can be generated on-the-fly and may not have a persistent, static uniform resource locator (URL). This situation can lead to search results that do not include certain types of user-customized information. A disclosed system can be configured to capture user intent from a query and deploy an agentic technology, for instance, a browser actuation agent. The agent can programmatically simulate user navigation on a target website to dynamically generate an ad-hoc URL corresponding to content …

Python 4.0 — A Gated, Forward-Safe Evolution, Joseph Jm Walker

Defensive Publications Series

This disclosure proposes a gated upgrade model for the Python programming language that allows developers to adopt new runtime semantics, safer defaults, and modern concurrency primitives without breaking existing code. The design introduces an opt-in feature gate (from __future__ import python4_strict) on Python 3.x that enables UTC-aware datetimes, strict UTF-8 I/O, structured concurrency, and type-safe defaults at the module level. In Python 4.0, these semantics become the default, with a one-release rollback option for compatibility.

The proposal also includes tools for migration (refactor4 codemod framework), standardized packaging (pyproject.lock.json), and concurrency enhancements (TaskGroups, cancellation scopes, optional GIL-free mode). A governance model …

Decoupled Image Retrieval To Augment Large Language Model Output, Pulkit Jain, Josh Ain, Sowmya Vijayaraghavan, Daniel Hirsch, Jason Fund

Defensive Publications Series

Augmenting textual responses from large language models (LLMs) with relevant images can present challenges at scale, for example, due to computational resources and latency that may be associated with some integrated multimodal models or co-embedding techniques. The disclosed method can address this by classifying a user query, for instance, to determine if it is "image-seeking." If a query is identified as image-seeking, the system can forward the query and associated metadata to multiple systems that can operate in parallel. For example, the query can be sent to an LLM for generating a text response and also to a separate image …

Coordinated Agent System For Automated Market Viability Assessment Of Product Designs, Ankit Aggarwal, Piyush Dhanuka

Defensive Publications Series

Some product design processes can involve time-consuming and costly manual research for market feasibility analysis, potentially increasing financial risk. A described agentic system is configured to assist in automating this process. The system may include a central orchestrator agent, powered by a large language model, that can receive a product design, such as an image, along with target parameters. The orchestrator can then invoke specialized services and parallel retrieval-augmented generation tools. These tools are configured to query distinct knowledge bases to gather data on topics such as market trends, competitive pricing, cost of goods, and supply chain logistics. A financial …

Autonomous Research Cycle For Artificial Intelligence Agents Utilizing A Dynamic Knowledge Graph, Mithun Kumar S R, Graham Innocent, Aleksei Zhuravlev

Defensive Publications Series

A method is described for an artificial intelligence agent to perform an autonomous research cycle. A system can enable an agent to periodically retrieve new information from a dynamic data source and use it to construct and continuously update an internal knowledge graph. The agent may then autonomously invoke a set of analytical modules to analyze this graph. Such modules can perform functions including trend analysis, knowledge synthesis, and hypothesis generation, potentially without direct human intervention. This process can modify an agent's behavior from a reactive model to a proactive one, allowing it to independently discover and surface unsolicited insights, …

Automated Correction Of Documentation Code Snippets Using An Agentic Large Language Model With A Reflection Chain, Leonid Kuligin, Alex Ostapenko

Defensive Publications Series

Code snippets within technical documentation can contain syntax errors and formatting issues, which may require manual effort for detection and correction. A disclosed method can address this by employing an agentic pipeline based on a large language model (LLM) to automate the process. The system can extract and classify code snippets from documentation pages. For an identified snippet, a reasoning model can describe potential errors. A reflection chain may then be initiated, where a first LLM proposes a fix, and a second LLM instance reviews the proposed change, potentially generating a critique if the fix appears incorrect. This iterative fix-and-review …

The Inwardly Bent Composite Projection System That Enables The Eye To Be Inserted Into The Projection Observing 3d Space Created By The Bending Mechanism Providing A Greater Immersion Of The Virtual Space., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes an inwardly bent composite projection system that enables the eye to be inserted into the projection observing 3D space created by the bending mechanism providing a greater immersion of the virtual space. The entire inwardly bent composite projection system consists of 2 identical projection systems. One projection system will project projections from the top direction and the other projection system will project projections from the bottom direction. Each projection system will contain 3 categories of projection configurations. The inwardly bent composite projection system will altogether contains 6 projection configurations. The inwardly bent composite projection system, by utilizing …

Improving Large Language Model Responses Using Implicit Feedback From Conversational Refinement Metrics, Tushar Chugh, Aditya Mone, Mehrbod Sharifi, Karthik Kumara

Defensive Publications Series

Techniques for training large language models (LLMs) rely either on sparse, explicit user feedback or expensive human evaluation. These techniques fail to capture the nuanced conversational friction that users experience during multi-turn dialog. This disclosure describes techniques that, with user permission, leverage follow-up prompts entered by a user as a dense, scalable source of implicit feedback for post-training LLMs. A refinement framework classifies conversational turns following an LLM response based on the relationship between the turns. The framework categorizes user prompts into two classes - refinement (a negative signal indicating user friction and an attempt to fix a failure in …

Machine Learning Based Ambient Temperature Detection To Prevent Device Overheating, Sayanna Chandula, Jagga Babra, Kame(Teyuan) Wang, S Ashwin Balaji

Defensive Publications Series

In high ambient temperatures, external elevated temperatures amplify the effect of internal power losses in an electronic device and can lead to device overheating. This disclosure describes techniques to estimate the ambient temperature of an electronic device using a machine learning (ML) model. The ML model is provided with inputs such as temperature sensor readings, battery drain rate, on-device power measurements, and device charging status, optionally including the charging method (wired or wireless). Using a representative training dataset, the machine learning model is trained to generate ambient temperature predictions in real-time. If high ambient temperature is detected, the internal power …

Facilitating Agreements Without Information Disclosure, Max Bires

Defensive Publications Series

Two parties attempting to reach an agreement may each have private or confidential information that is key to reaching the agreement, but they may prefer to disclose such information to their opposite party only after mutual commitment. This disclosure describes techniques that enable negotiation and decision-making via interactions between large language models (LLMs) that act on behalf of the negotiating parties. Each party provides their confidential information to their LLM, which serves effectively as that party’s digital agent. The LLMs converse with each other with full context but only communicate a limited subset of information back to each party. The …

(((Qpie))) Prior Art 6 Of 9 Aetheris Economics – Why The Physics Of Coherence Becomes The Business Model Of Trust, Teddy Burroughs

Defensive Publications Series

(((QPIE))) Prior Art 6 of 9 Aetheris Economics – Why the physics of coherence becomes the business model of trust

“What does Aetheris actually mean for revenue, social impact, and SLA innovation?”

AETHERIS AND THE ECONOMICS OF RESONANCE

Why the physics of coherence becomes the business model of trust

1. The Shift From Efficiency to Coherence

For the past century, growth came from efficiency: doing more work with fewer inputs. Buqt efficiency has a hidden limit—it assumes the environment is static and controllable. In a post-quantum, post-pandemic, climate-entangled world, stability comes not from control but from coherence—the capacity of …

(((Qpie))) Prior Art - The Triadic Kernel Of Resonanceos: Compassion, Gratitude, And Trust As The Firmware Operators Of Reality, Teddy Burroughs

Defensive Publications Series

The Triadic Kernel of ResonanceOS: Compassion, Gratitude, and Trust as The Firmware Operators of Reality

Abstract

This disclosure introduces the triadic kernel of ResonanceOS, a framework grounded in the principle and Grand Unifying Theory of Quantum Perspective Is Everything (QPIE). Building upon prior releases that identified compassion as an amplifier of coherence and gratitude as its stabilizer, this manifesto extends the kernel by introducing trust as the propagation operator Together, these three operators form the firmware layer of existence: compassion amplifies resonance, gratitude stabilizes resonance, and trust propagates resonance through time, networks, and systems By situating this triadic kernel …

Multi-Channel Ambient Sample System (Mass): A Flush-Mounted Multichannel Microphone Array For Hemispherical And Spherical Spatial Sound Capture, Stefan Johansson

Defensive Publications Series

This document discloses a method and apparatus for recording spatial sound using a multichannel microphone array based on the acoustic principles of the Crown® SASS (Stereo Ambient Sampling System), but extended to cover the entire 360° horizontal plane and optionally the upper hemisphere. The disclosed system, named MASS (Multi-channel Ambient Sample System), employs flush-mounted omnidirectional microphone capsules arranged on multiple planar surfaces of a cabinet, with acoustic baffling to control interchannel separation and diffraction. This disclosure is intentionally placed in the public domain to establish prior art, thereby preventing others from obtaining patent protection for this class of …

Server-Side Stitching Using A Vendor Identifier For Application Conversion Attribution, Ishan Bansal, Satvik Chauhan

Defensive Publications Series

In some mobile app conversion tracking scenarios, attribution parameters on post-install engagement (PIE) events may be inconsistently transmitted, leading to potential gaps in measurement. A method is described to address this using a server-side stitching mechanism that can utilize a vendor identifier (e.g., an identifier for vendors or an application set identifier). During an initial app landing event where attribution parameters are present, a subset of data from these parameters may be stored on a server and keyed using the vendor identifier. For subsequent PIE events from the same app that lack these parameters, the system can use the vendor …

Automated Contextual Selection And Placement Of Emojis In Advertising Headlines, Alan Ruthazer, Parag Jain, Haifeng Gong, Wei Yin, Thomas Palmer

Defensive Publications Series

Advertising platforms may restrict emojis in ad headlines due to challenges related to contextual relevance, scalability, and ad safety. This disclosure details a method for the contextual selection and placement of emojis within ad headlines, for example, by using a generative artificial intelligence model. A system, which can be executed on a computing device (e.g., a server, a smartphone, a wearable device), may ingest ad headline text and perform a deep learning analysis to understand its core meaning and context. Based on this analysis, the system can select and rank relevant emojis from a repository. The technology may also identify …

Ai-Driven Techniques To Dynamically And On-Demand Provide Context-Aware Task Optimization In Complex Systems, Arica Schivonne Jackson, Priya Santosh Singh, Angeliki Papathanasiou, Natallia Shliazhka, Sebastian Jeuk

Defensive Publications Series

In today's fast-paced and digitally driven environment, professionals are bombarded with many different types of notifications on a daily basis in which such notifications can be scattered across different platforms, such as email platforms, instant messaging platforms, and the like. Notifications spread across different platforms can lead to a loss of productivity due to wasted time and duplicated effort. To address such issues, an intelligent, centralized system is proposed herein that aggregates artificial intelligence (AI) -driven insights and automates task management across multiple platforms, providing a cohesive and streamlined user experience. Such a system can reduce cognitive load, enhance productivity, …

Immersive Accessibility Assistance Using Personal Devices, Sudeep Chauhan, Sumukh Ashok Shevde

Defensive Publications Series

This document describes a system in which a computing device (e.g., smart watch, computerized glasses, smart ring, augmented reality headset, extended reality headset, hearable device, or other body-mounted devices or sensors) aids in accessibility by collecting environmental data from the user’s surroundings and providing specific feedback or direction to the user through different means of communication. This system may include a body area network of interconnected devices, such as XR glasses, a smartwatch, smartphone, and earbuds, that work in concert to provide a sensory augmentation experience. With explicit user consent, the system may collect environmental data, such as video content, …