Technical Disclosure Common
Not a member yet
9157 research outputs found
Sort by
Distributed 48 V Energy Nodes (D48EN)
No full textThis document introduces the Distributed 48 V Energy Node (D48EN) architecture, a modular approach to home and community-scale energy storage and power distribution. Unlike conventional DC microgrids that rely on a continuous shared bus, this architecture places independent 48 V battery nodes throughout a structure, each with its own point-of-load photovoltaic (PV) input and short-run DC distribution to nearby loads. Nodes are normally isolated electrically and do not form a high-power backbone. Instead, low-current redistribution links allow controlled, schedulable energy sharing between nodes. This configuration reduces wiring cost, improves safety, simplifies retrofits, and enables modular growth for both developed residential homes and developing region community systems, while retaining the ability to support high-power loads at the room or appliance level
PHARMACEUTICAL COMPOSITION OF RESMETIROM TABLETS
No full textABSTRACT
A stabilized pharmaceutical composition comprising Resmetirom or a pharmaceutically acceptable salt thereof and at least one pharmaceutically acceptable excipient, wherein said composition simultaneously achieves desired dissolution profile, stability and bioavailability
Visual Cue for Item Value Discrepancy in an Augmented Reality Environment
No full textWearable devices, such as augmented reality (AR) devices and smart glasses, lack an intuitive, non-disruptive mechanism for informing a user about suboptimal pricing for a viewed item. This disclosure describes a method for displaying a dynamic visual cue, such as a stylized line, proximate to an item’s displayed price. The properties of this cue, including color, thickness, or animation, can be modified to convey the magnitude of the value discrepancy. User interaction with the cue can reveal detailed comparison pricing sourced from various databases. This price-matching information can also be transferred to a secondary device. The primary purpose is to provide actionable pricing information in a way that enhances perception without disrupting the user’s primary focus
Technical Final Report: ALLFROMAIR™ HC-AWG (The Superwheel
No full textThis defensive publication discloses the ALLFROMAIR™ HC-AWG (The Superwheel), a next-generation atmospheric water generator using a thermo-mechanical hybrid process. Key features include sorption technology with smart polymers (PNIPAM) and regenerative energy recovery. The system achieves ~13 liters/kWh and operates between -10°C to +45°C.
Keywords: Atmospheric Water Generator, HC-AWG, PNIPAM, Sorption, Water Scarcity, Energy Recovery, Defensive Publication, Prior Art, ALLFROMAIR, Superwheel
Process for the preparation of 2-{4-[(3S)-piperidin-3-yl]phenyl}-2H-indazole 7-carboxamide 4-methylbenzenesulfonate and intermediates thereof
No full textThe present invention provides a process for the preparation of 2-{4-[(3S)-piperidin-3-yl]phenyl}-2H-indazole 7-carboxamide 4-methylbenzenesulfonate represented by the following structural formula-1a and intermediates thereof.
Formula-1
Correcting Display Deformations Using a Thermoelectric Cooler Matrix
No full textTemperature variations in the context in which a lenticular display is deployed can result in non-uniform expansion across the display, leading to visual distortion. This disclosure describes techniques to counter non-uniform thermal expansion of a lenticular display due to temperature gradients or other environmental factors. Per the techniques, individual elements of the display are each coupled to a strain gauge and a thermoelectric cooler (TEC). Strains (thermally induced displacements) across the display are provided as input to a microcontroller unit (MCU). The MCU coordinates the matrix of TECs such that individual TECs heat or cool their regions of the display to achieve a uniform, or undistorted, thermal expansion across the display
Training Artificial Intelligence Agents to Compress Web Page Actions into URL Rewrites
No full textComputer-control agents are artificial intelligence (AI) tools that automatically perform user-defined tasks over the user interface (UI) of a computer. UI-control-based agents can be slow because they involve the agent interacting with the web page via elementary actions such as clicks and text-fills, waiting for web-page loads, and processing the web-page state and calling the AI model to predict the next elementary action(s), all of which introduce delays. This disclosure describes techniques that improve the efficiency of task performance via computer-control agents by training the agents to bundle multiple web interactions into a single, compact web-service interaction via uniform resource locator (URL) submissions or HTTP requests. Compact requests can be used independently or together with UI control actions to achieve the lowest number of per-task interactions with web services. Bottlenecks are removed and task completion times are reduced, and a substantial speed-up in agent-website interaction results
AI-Enhanced Print Interception System for Optimized Document Output
No full textConventional print workflows often compromise document fidelity due to early-stage transformations performed by the operating system’s print subsystem. This results in poor layout preservation, inefficient scaling, and suboptimal formatting - particularly when printing from dynamic sources such as web applications. To address these limitations, this invention presents a novel method and system for intercepting print commands, including the Ctrl+P action, at the application level to capture the original, unprocessed content before it reaches the print driver or spooler. A lightweight monitoring module detects print initiation events and extracts raw document data, such as source HTML or structured content. This content is then processed by an AI-powered engine that intelligently optimizes layout, formatting, and scaling based on the target paper size, type, and print job requirements. The system also supports user-adjustable previews and intelligent preprocessing to ensure high-fidelity, waste-reducing, and aesthetically enhanced print outputs. By preserving the integrity of the original content and applying AI-driven refinements, the solution significantly improves print accuracy, reduces material waste, and enables more reliable and intelligent browser-based and application-level print workflows. It also supports advanced use cases such as content validation, security auditing, and smart print management - while maintaining a seamless and user-friendly experience
Autonomous Agent for End-to-end Cloud Control Testing and Troubleshooting
No full textCloud controls are vital components within compliance frameworks that ensure that organizations meet specific security and regulatory standards in their cloud environments. Current techniques for testing cloud controls are characterized by a lack of automation, substantial manual labor, and an inability to adapt to the growing complexity and volume of compliance requirements. This disclosure describes an autonomous artificial intelligence (AI) agent (referred to as a cloud-control agent) to streamline and accelerate the creation, deployment, and testing procedures for infrastructure-as-code (IaC) cloud controls. Functional correctness of IaC cloud controls is ensured against specified compliant and non-compliant test scenarios without direct human intervention during execution. A manual, bottleneck-prone, and inefficient control validation is supplanted by an automated, scalable, and highly reliable configuration that can be used for development, debugging, and testing of cloud controls
Amorphous Nerandomilast
No full textThe present invention relates to a novel amorphous form of Nerandomilast and, more particularly, to a process for preparing amorphous Nerandomilast having improved physicochemical properties compared to its crystalline counterpart