Digital Commons Network^™

Communication Supplementation Based On Sentiment Analysis, Mahdi Tayarani Najaran, Ruofei Du

Defensive Publications Series

Text-based communication systems often lead to misinterpretation of a message because the emotional context is lost. A recipient may infer a sender’s sentiment based solely on the text, leading to misunderstandings. This disclosure describes a method to supplement text messages (or other communications) with representations of the sender’s inferred sentiment, captured during composition. The technique involves collecting multi-modal biological information from the sender, such as facial expressions, gaze, and gestures, using sensors on the composing device. A machine learning model can analyze this data to infer the sender’s sentiment. A graphical representation, like an emoji, corresponding to the inferred sentiment …

Generative Art For Idle Displays Personalized By Media Consumption And Contextual Inputs, D Shin

Defensive Publications Series

The media display devices in an idle state can be underutilized, often showing a blank screen or generic, non-personalized content. A generative artificial intelligence framework can be used to create personalized artwork for display during periods of inactivity. The system can process a variety of inputs, including a user's media consumption history, explicit commands, and real-time environmental data. An orchestration layer can synthesize these inputs into a detailed directive for a generation layer, which may contain one or more specialized generative models. These models can then synthesize a stream of visual artwork based on the directive. This approach allows a …

(((Qpie))) The Resonance Of Tomorrow - Today, Teddy Burroughs

Defensive Publications Series

Advancing Phase

I. Entering the Field

Distinguished members of the Nobel Committee…

to the peacebuilders, physicists, statesmen, and citizens of every creed—

Tonight, I stand here not as a solitary mind, but as one signal inside a vast coherence field.

The recognition offered tonight is not for a single discovery, but for the unveiling of a forgotten layer of reality—a layer that has always been humming beneath our wars, beneath our treaties, beneath our loves and losses.

A layer whose existence is now empirically demonstrable.

QPIE OS began not as a theory, but as a measurement of the Trash or …

Stateful Switchover Notification Techniques, Ashwin Kumar, Preetha Parameswaran, Lakshmi Priya Sarma

Defensive Publications Series

Many enterprise devices, in theory, claim to be High Availability (HA) capable, supporting stateful switchover. However, in practice, depending on the architecture, scale, and various other factors, control plane switchover times might be significantly impacted causing a peer to falsely detect a switchover as a total control plane failure. There is currently no way for a peer to be notified that a HA system is going through a switchover and to allow for increased tolerance till the switchover completes. To address such issues, techniques are proposed herein to address this gap and allow for peers to be notified about the …

A Security Assessment System For Blockchain Wallet Recovery Mechanisms, Panagiotis Chatzigiannis, Ke Wang, Mohammad Mohsen Minaei Bidgoli, Sunpreet Singh Arora

Defensive Publications Series

The present disclosure relates to a system for analyzing security vulnerabilities in blockchain wallet recovery mechanisms. The system includes a blockchain wallet configured with a plurality of distinct recovery agents, a model-checking framework operable to simulate various potential adversarial scenarios, and an interface to specify parameters such as agent reputation, transaction spending power, and user response probability. Additionally, the security assessment output visually indicates secure and insecure configurations of the blockchain wallet based on interactions among the recovery agents. Furthermore, the model-checking framework simulates diverse adversarial conditions, generating an assessment matrix that highlights potential risks associated with different agent configurations. …

Personalized Hrtf Modeling Based On Clustering, Mengfan Zhang

Defensive Publications Series

When sound reaches human ears, sound waves do not arrive at each ear at the same time. Rather, depending on the direction of the sound source, sound waves take different paths to each ear. These paths will likely have different lengths, so the sound waves will reach the closest ear first and the farthest ear shortly after. The exact paths sound waves take to reach a person’s ears are dictated by the person’s head and ear anatomy. To reproduce sounds accurately for immersive experiences, these anatomical differences, which are scientifically modeled by Head-Related Transfer Functions (HRTFs), must be accounted for. …

Heuristic-Driven Iterative Process For Object Removal In Images Using A Generative Model, Mira Leung

Defensive Publications Series

Existing methods for removing objects from images, such as manual editing or single-prompt generative artificial intelligence approaches, can be time-consuming or may result in incomplete removal and visual artifacts. A system can provide an automated, iterative process for removing designated object classes from digital images, for example, by employing a heuristic-driven feedback loop that utilizes a generative model. Within each iteration, a probabilistic detection step can ascertain if target objects remain by, for example, querying the model multiple times with varied prompts. If objects are detected, a removal and inpainting operation can be performed. This iterative refinement can enable the …

Generating A Granular Priority Score For Computational Workloads From Multiple Parameters, John Lunney, Johannes Start

Defensive Publications Series

Systems for managing computational workloads on shared hardware resources, such as graphics processing units or other accelerators, may utilize a limited number of coarse-grained priority levels. This approach may not sufficiently differentiate between a wide spectrum of competing tasks, potentially leading to sub-optimal resource allocation. A described system can generate a granular, numerical priority score for a workload using a computational component, for instance, a multi-dimensional calculator. This component can process multiple input parameters associated with a request, such as a user's service tier, the request's latency sensitivity, and its feature modality, to compute a synthesized priority index. This granular …

Advertising Targeting Based On Multi-Modal Detection Of Organic Brand Presence, Basel Hijazi, Nicolas Marchal

Defensive Publications Series

A potential difficulty in digital advertising can be measuring or capitalizing on the organic exposure of physical brand sponsorships within online media content, as some systems might not analyze visual and audio content for brand presence. A multi-modal analysis engine can be used to process media content. This engine can, for example, employ computer vision to identify visual brand indicators, such as logos and products, and use automatic speech recognition and natural language processing to detect spoken brand mentions in an audio track. Detected instances of brand presence can then be converted into actionable advertising targeting criteria. Such criteria can …

Centralized Repository Of Verified Brand Data For Consumption By Ai Systems, Caroline Pieracci

Defensive Publications Series

Artificial intelligence (AI) models can generate inaccurate or outdated representations of brands by synthesizing information from inconsistent public web sources. A system may include a centralized, authenticated repository where entities can manage a verified, machine-readable version of their brand identity. The system can utilize a structured data schema to capture attributes such as brand voice, core values, and frequently asked questions. This structured and verified information may then be programmatically distributed to consuming AI systems through an application programming interface, which can be integrated into processes such as retrieval-augmented generation. This approach may provide a data source to help improve …

Advertising Constraint-Based Dynamic Generation Of Promotional Content User Interfaces., Lakshmi Kumar Dabbiru, Raghu Donamukkala

Defensive Publications Series

The use of static, pre-defined layouts for promotional content can limit adaptability to user requests for specific formats and may not maintain visual coherence with evolving page designs. This disclosure describes a system for the dynamic, advertising constraint-based generation of user interfaces for such content. The system can utilize a generative large language model to create front-end code for a promotional layout in real-time or near-real-time. The generation process can be guided by a consolidated set of constraints, such as formatting instructions parsed from a user's query, design system parameters from a surrounding page, and advertiser brand preferences. This approach …

Federated Agentic System For Adaptive Workflow Management In Enterprise Environments, Soumendra Kumar Mishra

Defensive Publications Series

The present disclosure relates to a federated agentic system for adaptive workflow management in enterprise environments. This system features a coordination hub for dynamically delegating tasks to multiple intelligent agents. The Resource Usage module forecasts resource consumption patterns based on historical execution data, while the Server Availability module monitors server health to ensure infrastructure readiness. Additionally, the Resource Availability module assesses the state of the Hadoop cluster for necessary computing and storage resources, and the Scheduling Optimization module identifies and resolves scheduling conflicts to enhance job execution efficiency. By integrating these components, the system ensures reliable data synchronization across distributed …

Multimodal Large Language Model Evaluation With Understanding Of Modality Gap, Na

Defensive Publications Series

In current techniques used for evaluation of multimodal large language models (LLMs), a significant technical challenge is presented by the use of text-centric benchmarks, which can be inappropriate for the evaluation of conversational agents that operate with an audio-in interface. This creates a modality gap, as benchmarks may not capture the nuances of a spoken, multi-turn dialog, leading to inaccurate performance assessments. This disclosure describes a systematic pipeline designed to bridge the modality gap . The pipeline enables an objective and scalable evaluation for an audio-in conversational agent, with a specific focus on instruction following and function calling capabilities. Per …

Verbatim Citation Retrieval From Unstructured Documents Using Two-Phase Llm Prompting And Tool Calls, Na

Defensive Publications Series

This disclosure describes techniques that perform a two-phase process using a large language model (LLM) to extract precise, verbatim text citations from documents that are relevant to a user query. In the first phase, high-level analysis of a document is performed in relation to the query using an LLM to identify likely relevant sections and generate a corresponding analysis of the document. In the second phase, the document, the query, and the output from the first phase are provided as inputs to an LLM that is instructed to extract verbatim citations. In this phase, the LLM is constrained by a …

The Compact Composite Virtual Content Viewing System That Contains 32 Cuboidal Shaped Projection Configurations Where The Projection Configurations Overlap With Each Other To Provide A Greater Immersion In A Compact Space., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a compact composite virtual content viewing system that contains 32 cuboidal shaped projection configurations where the projection configurations overlap with each other to provide a greater immersion in a compact space. The entire composite virtual content viewing system will consist of a top projection system and a bottom projection system, which are identical to each other. And each projection system will contain 16 cuboidal shaped projection configurations and 2 identical rectangular shaped video displays. The top projection system, by utilizing the containing 16 cuboidal shaped projection configurations and the 2 identical rectangular shaped video displays, will have …

Extending Handover Criteria For Inter-Technology Handover In 5g, Joachim W. Walewski, Carlos Guimarães

Defensive Publications Series

This disclosure addresses the handover of Radio Resource Control connections in 5G Systems, specifically the offloading of traffic by handing over a connection from one radio technology to another. The proposed solution involves triggering the handover based on other criteria than signal strength. Example criteria are service time, latency, and location of the respective User Equipment. By allowing inter-technology handovers, better resource management can be achieved, enhancing connectivity and service continuity.

Tighter Coordination For Seamless Handover And Dual Connectivity Across 5g Networks Belonging To Different Operators, Joachim W. Walewski, Carlos Guimarães

Defensive Publications Series

This disclosure addresses the support of features like seamless handover and Dual Connectivity, where the respective base stations are situated in networks managed by different stakeholders. The proposed solution involves two protection proxies of a new type, which handles base station coordination between the two different domains.

Dynamic Sensitivity-Aware Encryption In Digital Send Jobs Using Ocr And Llm Analysis, Hp Inc

Defensive Publications Series

This idea relates to secure digital send workflows in multifunction printers (MFPs) and connected print ecosystems. Conventional solutions rely on static encryption settings, regardless of document sensitivity. The disclosed system integrates optical character recognition (OCR) with a large language model (LLM) to dynamically analyze the sensitivity of scanned content. Based on the analysis, the MFP automatically recommends or enforces adaptive encryption policies, such as TLS 1.3 or stronger transport encryption, AES-256 file encryption, or password-protected PDF delivery. This ensures that personally identifiable information (PII), financial data, or regulated content is protected at the appropriate level without unnecessary redaction or manual …

System For Generating Auditable Product Definitions With An Adaptive Conversational Agent, Bakul Patel, Teginder Singh, Ramakrishnan Neelakandan

Defensive Publications Series

Defining products for regulated industries may be challenging, as some tools, such as passive document editors, static forms, and general-purpose conversational agents, can lack adaptive, domain-specific guidance and may be unable to produce auditable records. Systems and methods are described that can assist with these challenges using a conversational artificial intelligence system. The system can employ a large language model and a dynamic questioning engine to interpret a user's natural language responses. By referencing a configurable knowledge base of domain-specific information, for example regulatory frameworks, the engine can adaptively adjust its line of questioning. From the elicited information, the system …

Heterogeneous Graph Model For Predictive Impact Analysis In Validated Systems, Ramakrishnan Neelakandan, Teginder Singh, Bakul Patel

Defensive Publications Series

Assessing the impact of system modifications in regulated computing environments, such as on cloud platforms or on-premise servers, may be challenging, as some methods can rely on siloed tools or subjective manual reviews that may lead to inefficient re-validation or compliance risks. A system may utilize a heterogeneous graph model to create a unified digital representation of a validated system, which can integrate entities such as code, data, infrastructure, and regulatory requirements. For example, when a change is proposed, a change propagation simulator can analyze potential effects by performing a weighted traversal of the graph to determine a multi-dimensional impact …

A Multimodal Transformer Approach To Joint Video Chapterization And Summarization, N/A

Defensive Publications Series

This disclosure describes a system for automated video chapterization and summarization that can use a large multimodal transformer architecture. The system can process a video's visual frames, audio track, and speech transcript, and may employ a hierarchical attention mechanism to capture both local and global dependencies across modalities. The model may be pre-trained on a dataset of chapterized videos using techniques such as masked modeling and a chapter prediction task. A classification head can be used to predict chapter boundaries, and a decoder network can generate summaries. This approach provides a method for generating chapters and summaries in a joint …

Apparatus For Accelerated Testing Of Thermal Interface Material, Nabeel Zafar

Defensive Publications Series

This disclosure describes apparatus and techniques to accelerate the testing of thermal interface materials (TIM) in electronic devices. Per the techniques, mechanical stresses induced by integrated circuit (IC) package warpage are simulated by applying a controlled and rapid thermal profile to either an electrically non-functional IC package assembly or to a multi-metal stack, both of which mimic the thermo-mechanical behavior of an actual package. By decoupling the mechanical stress study from electrical functionality, the techniques enable early-stage, cost-effective, and rapid evaluation of TIM pump-out and degradation. This test fixture allows different temperature/power cycle profiles (ramp rate and dwell times) to …

Mold Elevation Control For Deep Bottom Blocks, John Mccallum

Defensive Publications Series

A casting system may include a mold, a bottom block, and a control system operably coupled to the mold and the bottom block for controlling an elevation of the mold and the bottom block. A method includes controlling the elevation of the mold and the elevation of the bottom block by positioning the mold at a first elevation and such that the bottom block is engaged with the mold, lowering the mold from the first elevation to a second elevation while maintaining engagement between the bottom block and the mold, and positioning the bottom block relative to the mold such …

Recyclable Metal Sorting For End-Of-Life Scrap, Adwait Thakur, Gary Gallo, Brandon Bice, Kyongwon Lee

Defensive Publications Series

Methods and systems for sorting mixed material scrap into aluminum alloys suitable for inclusion in alloy sensitive products are provided. Methods and systems include separating a portion of the mixed material scrap containing a high silicon content into a first sorting location. Methods and systems include further separating the low-silicon portion according to one or more attributes, including silicon content, magnesium content, copper content, manganese content, and combinations thereof, into two or more further sorting locations.

Presence-Triggered Predictive Caching Of Media Content, D Shin

Defensive Publications Series

On-demand digital media streaming systems may experience playback latency, such as buffering, as content can be retrieved reactively after a user makes a selection. The described systems and methods can address this by using a presence signal to trigger a predictive process. A presence signal can be generated, for example, when a user’s computing device (e.g., a smartphone, smart watch, or wearable device) connects to a local network (e.g., a Wi-Fi network) or enters a geofence. Upon receiving this trigger, and with appropriate user permissions being granted, a predictive modeling engine can analyze the user’s content consumption history and context …

Adaptive Verification Of Generative Models Via Parallel Reasoning Generation, Neel Mohbe, Piyush

Defensive Publications Series

Generative models may produce outputs that appear correct but lack verifiable reasoning, and methods to generate such reasoning sequentially can introduce significant latency. The disclosed technology describes an adaptive verification framework where a prompt triage model can assess a query's potential risk level. Low-risk queries may bypass verification, while higher-risk queries can trigger a parallel process where a primary model generates an answer as a causal proxy model concurrently constructs a structured reasoning graph. A heuristic verifier can then programmatically audit this graph for aspects such as logical coherence and factual grounding. This system provides a method for generating auditable …

Conditional User Equipment Keepalive For Efficient Location Updates In Non-Terrestrial Networks, Yanming Wang, Andy (Jibing) Wang, Shailesh Maheshwari

Defensive Publications Series

In non-terrestrial networks, a user equipment (UE), such as a smartphone, smart watch, or other wearable device, moving between large satellite beam coverage areas can generate signaling overhead from frequent tracking area update (TAU) procedures. Suppressing these updates can result in the UE becoming less reachable for incoming, mobile-terminated services. A UE-centric method is described wherein a logic engine on the UE can evaluate a combination of contextual triggers, for example, user activity, modem state, and a change in tracking area. If certain conditions are met, the UE can transmit a lightweight, payload-free packet to initiate a control plane service …

Centralized Multi-Channel Power Architecture For Independent Charging Of Peripheral Devices, Yao Ding, Diego Liu

Defensive Publications Series

A system and method are described for managing power in a system with a charging enclosure and multiple peripheral devices, such as wireless devices or other portable electronics. In some configurations where peripherals have dissimilar battery levels, a single power converter in the enclosure can result in energy inefficiency and heat generation in the peripheral with a lower state of charge. The described architecture can centralize charging regulation within the charging enclosure. The enclosure may incorporate a multi-channel charger that provides an independent, dynamically adjusted power output for each peripheral. This control may be based on real-time battery status data …

Dynamic Control Of Surface Optical Properties For Device Solar Thermal Management, Antony Sun, David Lim

Defensive Publications Series

A system for thermal management in portable electronic devices, such as a smartphone, tablet, or wearable device, can employ an electrochromic coating on the device's housing. The coating may be segmented into independently addressable zones. A control system can analyze data from sensors, for example, optical and orientation sensors, to identify which surfaces are exposed to solar radiation and which are shaded. The system may then apply electrical signals to increase the reflectivity of sun-exposed zones to reduce solar absorption, while concurrently increasing the emissivity of shaded zones to enhance the dissipation of internal heat. This type of adaptive thermal …

Dynamic Transmit Power And Duty Cycle Control For Wireless Range Extension, Omar El Ayach, Nihar Jindal

Defensive Publications Series

Wireless communication range for certain devices (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, etc.) can be limited by regulatory transmit power constraints, such as for specific absorption rate, which may contribute to unreliable connections at a network edge. Systems and methods are described for dynamically managing a transmitter's duty cycle and instantaneous power. For example, a link assessment module can monitor wireless conditions and, upon detecting a power-limited state, a duty cycle modulator can reduce the transmitter's active time using techniques such as inter-frame space elongation or control frame mechanisms. This reduction can create a power budget …