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Glucagon And Related Impurities, Anonymous
Glucagon And Related Impurities, Anonymous
Defensive Publications Series
Glucagon is a polypeptide hormone, secreted by the α-cells of the pancreatic islets of Langerhans. Glucagon is a single chain peptide consisting of 29 natural amino acids
Framework For Multi-Resource Condition Evaluation, Pihu Gupta, Abhishek Rathi, Nitin Garg
Framework For Multi-Resource Condition Evaluation, Pihu Gupta, Abhishek Rathi, Nitin Garg
Defensive Publications Series
In many computing scenarios, ensuring a desired state or enforcing a policy for a cloud workload requires considering the relationships and dependencies between distinct entities, resources, or assets. Traditional approaches that focus on the properties and configurations of single resources or assets can prevent accurate assessment of requirements. This disclosure describes techniques to evaluate conditions and constraints that involve multiple, disparate types of resources or entities. The techniques include resource identification and relationship mapping; data retrieval; cross-resource constraint evaluation; result aggregation and reporting; etc. A generic framework and data model define and evaluate conditions that span the boundaries of individual …
Natural Language Based Intuitive Business Intelligence Tool For End Users, Nilesh Patel, Naresh Jasotani
Natural Language Based Intuitive Business Intelligence Tool For End Users, Nilesh Patel, Naresh Jasotani
Defensive Publications Series
This disclosure describes a natural language processing (NLP)-based business intelligence (BI) tool designed to help business users analyze structured data without requiring technical expertise. The tool helps overcome challenges faced by business users, such as reliance on technical teams for data access, the complexity of traditional BI tools, and the need for technical skills to interact with databases. The NLP-based tool performs automated relationship discovery for entities within a data store, enables automated prompt and query generation, provides business-oriented data views in an intuitive user interface for data exploration, question asking, and report generation. Implementation of the tool removes the …
Artificial Intelligence Assisted Disaster Preparation And Response, Mel Bass, Daniel V. Klein
Artificial Intelligence Assisted Disaster Preparation And Response, Mel Bass, Daniel V. Klein
Defensive Publications Series
During natural disasters, entire regions of communication networks can be disabled quickly. Impacted areas can be struck again shortly thereafter. Wildfires, blizzards, floods, and earthquakes present unique preparation and response challenges. A rapidly changing emergency event makes it difficult to communicate, provide accurate and timely status updates, triage responses, etc. This disclosure describes artificial intelligence (AI) techniques that aid in disaster preparation and response. Implemented with specific user permission and on devices that are configured in emergency mode, the techniques can enable tracking of people displaced by disasters and keeping families up-to-date with the status of their loved ones. The …
The Composite Light Capturing And Projection Configuration That Utilizes A Rotating Composite Distributed Sensor Configuration In Combination With A Non-Rotating Single Sensor Configuration To Capture The Visible Scene., Punarjeewa Abeysekera
Defensive Publications Series
This paper describes a composite light capturing and projection configuration that utilizes a rotating composite distributed sensor configuration in combination with a non-rotating single sensor configuration to capture the visible scene. The entire composite light capturing and projection configuration consists of a light capturing convex lens stack, a beam splitter, 6 rotatable concentrically shaped sensor configurations and a non-rotatable sensor configuration. The composite light capturing and projection configuration, by utilizing the containing entities, will have the capability to capture the scene visible to it. During this scene capturing procedure, the 6 containing rotatable concentrically shaped sensor configurations and the containing …
Detecting Road Geometry Anomalies In Digital Maps Via Computational Physics Modeling, Yue Hu, Jose Jimenez-Olivas, Amey Venkatanarayan, Kamakshi Kodur, Yen-Ting Liu, Zhewen Song, Lifan Chen, Chris Antilla, Shu-Wei Cheng, Boris Mazniker
Detecting Road Geometry Anomalies In Digital Maps Via Computational Physics Modeling, Yue Hu, Jose Jimenez-Olivas, Amey Venkatanarayan, Kamakshi Kodur, Yen-Ting Liu, Zhewen Song, Lifan Chen, Chris Antilla, Shu-Wei Cheng, Boris Mazniker
Defensive Publications Series
Detecting geometric road anomalies in digital maps at a large scale can present a challenge, as some conventional methods may exhibit limitations in precision and result in a higher rate of false positives. A method and system are described that can identify these anomalies by simulating a vehicle's traversal of a given road segment to assess its kinematic feasibility. The model can analyze the change in the road centerline's bending energy before and after lane rendering and can predict the probability of a vehicle spin-out based on lateral acceleration. This approach may allow for accurate, scalable detection and quantification of …
A System For Predictive Crowd Management Using Coupled Analysis Of Crowd State And Environmental Information, Mithun Kumar S R
A System For Predictive Crowd Management Using Coupled Analysis Of Crowd State And Environmental Information, Mithun Kumar S R
Defensive Publications Series
Some crowd management systems analyze crowd dynamics, such as density and flow, in isolation from the physical environment. The disclosed system can couple a Dynamic Crowd State Vector, which may quantify real-time crowd metrics, with a Hyper-Local Condition Vector, which may quantify environmental factors such as surface integrity, passage width, and lighting. A machine learning model can process the real-time interaction between these two vectors to generate a unified, predictive risk score for a specific geographic zone. The resulting coupled analysis may facilitate the proactive identification of context-specific hazards, such as moderate crowds in some conditions, which may aid in …
On-Product And On-Advertisement Encoding For Visual Product Identification, Tal Cohen, Praveen Krishnakumar
On-Product And On-Advertisement Encoding For Visual Product Identification, Tal Cohen, Praveen Krishnakumar
Defensive Publications Series
This disclosure describes a method for on-product and on-advertisement encoding for visual product identification. Visual search technologies can have difficulty distinguishing between product models that are highly similar or visually identical, which may lead to incorrect identifications and a suboptimal user experience. The described method involves embedding a unique product identifier, like a Global Trade Item Number (GTIN), onto a physical product or into its advertisements through an invisible watermark. This watermark is composed of subtle, algorithmically detectable variations in color or pattern that are imperceptible to the human eye, such as stripes of nearly identical shades on a fabric. …
Color-Coded Lane Guidance System For Dynamic Traffic Flow Optimization, Jacques Mouton
Color-Coded Lane Guidance System For Dynamic Traffic Flow Optimization, Jacques Mouton
Defensive Publications Series
Traffic flow can be sub-optimal when drivers lack real-time, lane-specific information. This disclosure describes a system for dynamic lane guidance, for example, within a navigation application on a computing device (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, an in-vehicle infotainment system, etc.). In some implementations, the system can utilize a probabilistic inference engine, such as a Bayesian inference engine, to analyze multiple data sources. These sources may include real-time traffic data, historical data, predictive models, and crowdsourced information. This analysis can be used to calculate a probability of congestion, delay, and/or accident risk for individual lanes. These …
Automatic Detection Of Multi-Customer Power Outages Using Aggregated Device Connectivity, Daniel Klein, Mel Bass
Automatic Detection Of Multi-Customer Power Outages Using Aggregated Device Connectivity, Daniel Klein, Mel Bass
Defensive Publications Series
Some existing methods for detecting power outages may rely on manual customer reports, which can be slow, or inaccurate, and may be unfeasible when communication networks are overwhelmed or damaged. A method is disclosed that can enable automatic outage detection by aggregating and analyzing the connectivity status of a large number of internet-connected devices (e.g., smart speakers, IoT appliances, network routers) across multiple locations. A simultaneous loss of communication from a high density of geolocated devices in a particular area may be used to infer an outage. By correlating signals from diverse devices and service providers, including, for example, those …
Verifying Ownership Of Online Profiles And Web Sites For Creators And Publishers, Nick Krasney, Yi Li, Govind Kaushal
Verifying Ownership Of Online Profiles And Web Sites For Creators And Publishers, Nick Krasney, Yi Li, Govind Kaushal
Defensive Publications Series
Verifying that a single creator or publisher controls multiple disparate online properties, such as websites and social media profiles, can be a challenge. Existing methods may rely on bilateral agreements between platforms, which may not be scalable and can create friction. This disclosure describes a decentralized cryptographic method for verifying ownership. A creator may generate a unique public-private key pair and can use the private key to sign the canonical URL of each online property, creating a digital signature. The creator can then provide the public key and the corresponding digital signature to each platform, which may embed this information …
Techniques For Detecting Contraflow On Divided Roadways And Adjusting Vehicle Routes, Daniel Klein
Techniques For Detecting Contraflow On Divided Roadways And Adjusting Vehicle Routes, Daniel Klein
Defensive Publications Series
Navigation systems may encounter routing anomalies when one side of a divided highway is closed, for example for construction, and traffic is temporarily rerouted into a two-way flow on the remaining side. In such situations, detecting the temporary traffic pattern can allow a navigation system to avoid providing erroneous instructions, such as "make a U-turn" or undesirable detours. A disclosed method relates to using aggregated geospatial data, such as Global Positioning System (GPS) data, and traffic flow data to detect these temporary traffic patterns. A system can identify anomalies such as a threshold number of vehicles traveling on the "wrong" …
Automatic Accessibility Verification Using Multimodal Data, Yash Dave, Jaydeep Untwal, Rakhi Parekh
Automatic Accessibility Verification Using Multimodal Data, Yash Dave, Jaydeep Untwal, Rakhi Parekh
Defensive Publications Series
Accessibility information on mapping platforms can be self-reported by businesses, which may lead to uncertainty for users with accessibility needs. This disclosure describes a method for automatically verifying accessibility claims using multimodal data. A system can analyze street-level imagery to detect physical features, such as ramps, and can process user-generated text reviews for accessibility-related keywords. This combined data may be input into a fine-tuned AI model to assess the presence of accessibility features at a given location. The outcome can be an indicator, for example a badge on a business profile, which can provide users with verifiable information, assisting them …
Continuous Private Location Tracking Of Mobile Devices Using Satellite Communications And Other Infrastructure, N/A
Defensive Publications Series
Some existing location tracking methods may not provide reliable, real-time data for mobile devices in environments with limited or no cellular connectivity, such as over air and sea. The disclosed system can address this by using a hybrid communication method that may dynamically switch between networks such as satellite (satcom), wireless local area networks (WLAN), cellular, and other networks. The system may employ virtual geofences to trigger location updates, which can help optimize power consumption. During periods of no connectivity, a predictive analytics model may estimate the device’s position by integrating device sensor data, historical travel patterns, and external data …
Tabular Search: A System For Comparative Query Answering With Iterative Criteria Filtering, Ben Murdoch, Yi Li
Tabular Search: A System For Comparative Query Answering With Iterative Criteria Filtering, Ben Murdoch, Yi Li
Defensive Publications Series
Some search engines may be less efficient at answering comparative queries that require filtering based on specific user-defined constraints, sometimes returning less relevant results. A disclosed method describes an approach for this scenario by constructing and refining a virtual table of options. The system can take an input query, a list of informational needs, and a list of filtering criteria. It can then discover an initial set of potential options and iteratively perform targeted web searches for each one to gather the required information and verify compliance with each criterion. This process allows for the elimination of unsuitable candidates and …
Dynamic Asset Allocation For Spending, Quinn Johnson, Joseph Johnson, Jr.
Dynamic Asset Allocation For Spending, Quinn Johnson, Joseph Johnson, Jr.
Defensive Publications Series
Spending appreciating assets, such as digital assets or securities, may create an opportunity cost, as their future value could exceed their present value. This can present a challenge for users who wish to spend from their investment portfolios for daily needs. This disclosure describes a method for dynamic asset allocation within a digital wallet. A system can analyze a user's portfolio of diverse assets (e.g., digital assets, stocks, cash) using an algorithm that can combine machine learning, technical analysis, and sentiment analysis to project future returns. To reduce opportunity cost, the system can automatically select assets with a lower projected …
System For Modeling Local Inventory From Multimodal, Unstructured Data Signals, Cathal D'Arcy, Nicolas Garnier, Yiqing Zhao, Alisa Khatipova, Anton Minashkin, Jack Collins, Kathrin Schuler, Pawan Kumar, Richard Ledley
System For Modeling Local Inventory From Multimodal, Unstructured Data Signals, Cathal D'Arcy, Nicolas Garnier, Yiqing Zhao, Alisa Khatipova, Anton Minashkin, Jack Collins, Kathrin Schuler, Pawan Kumar, Richard Ledley
Defensive Publications Series
The disclosed technology describes a method for programmatically predicting conceptual-level product availability, such as for brands, categories, and product lines, for stores that can lack detailed inventory feeds. A machine learning model can ingest and analyze multimodal signals, including unstructured data from user-generated content like in-store photos, crawled website, and text/images. The model processes this evidence to predict the level of confidence that a given product concept is available at a specific local store. This method can increase local product data coverage without requiring formal inventory feeds from merchants, enabling a system to surface more relevant in-store product information to …
Improved Imaging Within Smt Machines, Anonymous
Improved Imaging Within Smt Machines, Anonymous
Defensive Publications Series
The present document suggests the use of an improved and newly-available image sensor which may usefully be used for component and / or PCB imaging, and may have further application in SMT machines including placement machines and screen printers.
Textvantage, Palakh Shangle
Textvantage, Palakh Shangle
Defensive Publications Series
The present disclosure discloses TextVantage is AI-powered accessibility framework designed to enhance digital finance platform for dyslexic users and merchants. The Present disclosure includes UI Enhancements include Dyslexic-friendly fonts (e.g., OpenDyslexic), text simplification, increased line spacing, and text-to-speech narration. Further, hybrid inputs include Text queries, voice commands (via Web Speech API), autodetection of complex text, and visual toggles for font/spacing/narration. Further, RAG Pipeline retrieves dyslexia research, WCAG guidelines, and text simplification strategies to power an LLM that generates tailored responses (e.g., simplified text, merchant code). The present disclosure discloses merchant support includes Auto-generates dyslexic-friendly code or content via file …
The Compact Projection System That Consists Of A Front Located Projection Configuration And 3 Side Located Cyclically Configured Distributed Projection Configurations Where Virtual Content Will Be Projected Onto 4 Virtual Image Formation Distances., Punarjeewa Abeysekera
Defensive Publications Series
This paper describes a compact projection system that consists of a front located projection configuration and 3 side located cyclically configured distributed projection configurations where virtual content will be projected onto 4 virtual image formation distances. The entire compact projection system will consists of a front located projection configuration and 3 side located cyclically configured distributed projection configurations. And in the entire compact projection system, there will be altogether one large convex lens stack, one front located large video display, 4 cyclically configured main beam splitter configurations, 12 small video displays and 8 secondary beam splitter configurations. The compact projection …
Rank-Based Secure Multi-Ai Agent Communication System For Misinformation Prevention, Sree Gowri Addepalli, Sushma Mahadevaswamy, Arica Schivonne Jackson, Barry Qi Yuan
Rank-Based Secure Multi-Ai Agent Communication System For Misinformation Prevention, Sree Gowri Addepalli, Sushma Mahadevaswamy, Arica Schivonne Jackson, Barry Qi Yuan
Defensive Publications Series
This submission introduces a novel approach to prevent the generation of artificial intelligence (AI) misinformation by proposing rank-based multi-AI agent communication with novel dynamic parameter adaptive re-ranking technique based on various security behavioral metrics and data recency. This approach provides the ability to minimize the spread of outdated information or misinformation, ensuring more trustworthy outputs from AI systems.
Improved Process For The Preparation Of 1-{(2s,5r)-2-Methyl-5-[(7h-Pyrrolo[2,3-D] Pyrimidin-4-Yl)Amino]Piperidin-1-Yl}Prop-2-En-1-One, Siva Lord
Defensive Publications Series
An improved process for the preparation of 1-{(2S, 5R)-2-methyl-5-[(7H-pyrrolo[2,3- d]pyrimidin-4-yl)amino]piperidin-1-yl}prop-2-en-1-one of formula-1
An Improved Process For Isolation Of Dual Agonist Polypeptide, Anonymous
An Improved Process For Isolation Of Dual Agonist Polypeptide, Anonymous
Defensive Publications Series
An improved process for the isolation and purification of dual agonist polypeptide compound.
Biocompatible Ion Gel Sensors
Defensive Publications Series
Disclosed are sensors comprising electrodes, such as cutaneous electrodes. The electrodes comprise an ion gel superimposed on a host layer, such as poly(3,4- ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS). The ion gel is at least 30 percent crosslinked by weight with the remainder in liquid form. The ion gel is comprised of polymerizable/nonpolymerizable ionic liquid blend and a crosslinker, such as polyurethane dimethacrylate, urethane methacrylate oligomer, silicone acrylate, or acrylate. The host layer can be overlayed on an electrically conductive layer which, in turn, can be overlayed on a substrate. A suitable material for the substrate is polyimide. A suitable material for …
Techniques To Provide Audit Security Steering Policy Enforcement, Anshul Tanwar, Ashwin Kumar, Praveen G. R, Kumaril Kapoor
Techniques To Provide Audit Security Steering Policy Enforcement, Anshul Tanwar, Ashwin Kumar, Praveen G. R, Kumaril Kapoor
Defensive Publications Series
Dynamic and selective steering of traffic through a security device can create a certain level of interdependence between the security operations (SecOps) and network operations (NetOps) that traditionally operate as independent teams. For example, any deviation in the strict enforcement of the true traffic steering intent advised/authored by a SecOps team and configured by a NetOps teams on network devices can result in compliance issues and possibly security breaches. This submission proposes novel techniques that allow a SecOps team to independently audit and validate steering enforcement actions configured and managed by a NetOps team in order to ensure compliance with …
System And Method For Managing Invoice-On-Behalf Within Open-Loop Transaction Networks, Anna Grau Galvan, Harrison Robert Sylvester, Seani Ramabulana, Adi Mistry, David Blower
System And Method For Managing Invoice-On-Behalf Within Open-Loop Transaction Networks, Anna Grau Galvan, Harrison Robert Sylvester, Seani Ramabulana, Adi Mistry, David Blower
Defensive Publications Series
The present disclosure provides a method and a system for managing Invoice-on-Behalf (IoB) within open-loop transaction networks. The method comprises identifying a portable financial device enabled for IoB at a merchant system and generating an authorization request for an IoB transaction. The authorization request is then approved at an issuer system, followed by transmitting an authorization response back to the merchant system. At a Point-Of-Sale (POS) system associated with the merchant system, issuance of a VAT invoice is suppressed. Line-item data and tax data related to the transaction are transmitted, and the issuer system generates IoB documents at predetermined intervals …
Structural Reinforcements For Electric Vehicles, Nuria Ignes
Structural Reinforcements For Electric Vehicles, Nuria Ignes
Defensive Publications Series
L&L Products offers structural reinforcements for electric vehicles that make BIW lighter, improving stiffness and crashworthiness. Products include composite body solutions as well as continuous composites systems.
Analog Channel Fault Detection, Anonymous
Analog Channel Fault Detection, Anonymous
Defensive Publications Series
The present disclosure relates to analog fault detection in amplified spontaneous emission (ASE)-loaded optical line systems, specifically addressing channel power degradation scenarios that are not detectable by conventional digital methods. The disclosed solution initiates fault detection based on integrated, filtered channel power measurements taken at the line-out location of a section multiplexer (section-mux). These measurements are back-scaled to the corresponding section-mux input and compared against forward-scaled measurements and expected channel input power. By comparing these scaled power values, the solution accurately distinguishes between upstream faults (such as incorrect transmitter frequency tuning, silent pixel failures in wavelength selective switches, or fiber …
Smart Splitter In Passive Optical Network, Anonymous
Smart Splitter In Passive Optical Network, Anonymous
Defensive Publications Series
A smart splitter system is disclosed for enhancing security, reliability, and remote management capabilities in Passive Optical Networks (PONs). The smart splitter integrates a dedicated controller, controllable mirrors, and internal optical light absorbers, leveraging the ONU Management and Control Interface (OMCI) protocol for dynamic control. The Optical Line Terminal (OLT) utilizes OMCI Managed Entities (MEs) to remotely enable or disable splitter output ports, swiftly isolating rogue Optical Network Units (ONUs) upon detection. This OMCI-driven splitter addresses security vulnerabilities posed by unused splitter ports, rogue ONUs transmitting outside allocated time slots, and malicious upstream optical interference. By automating port isolation via …
Techniques To Provide Accurate, Real-Time Power Supply Unit (Psu) Efficiency Reporting, Tina Jiang, Karen Wang
Techniques To Provide Accurate, Real-Time Power Supply Unit (Psu) Efficiency Reporting, Tina Jiang, Karen Wang
Defensive Publications Series
With the development of artificial intelligence (AI) infrastructure, power consumption for networking equipment continues to be a concern. Notably, the power supply units (PSUs) of such equipment can consume considerable power and it can be critical to track PSU consumption in network deployments. Techniques proposed herein provide for the ability to synchronize input and output power sampling and calculations through the use of primary and secondary zero-crossings of an Inductor-Inductor-Capacitor (LLC) resonant converter. The proposed techniques can enable real-time, accurate efficiency reporting for a PSU without requiring extra hardware synchronization circuits, thereby making efficiency monitoring more reliable and accessible.