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Aluminum Water Reactor, Timo Kauppila
Aluminum Water Reactor, Timo Kauppila
Defensive Publications Series
This public disclosure discloses a novel reactor design specifically engineered for the controlled chemical reaction between aluminum and water in the presence of gallium, resulting in the generation of hydrogen gas and aluminum oxide. A central feature of this reactor design is a mechanical stirrer strategically positioned at the core, effectively pushing the gallium towards the reactor's perimeter through centrifugal forces. This motion ensures the continuous and uniform mixing of aluminum, water, and gallium, facilitating the desired chemical reaction. Additionally, a specialized mechanism, represented as a shaftless spiral conveyor (ribbon conveyor), is integrated into the reactor's central region, efficiently extracting …
Tokenization Of Commodity Receivable, Stuart Smith, Wanyun Gu, Mahdi Zamani, Akshay Kant, Mohammad Mohsen Minaei Bidgoli, Alessandro Leite
Tokenization Of Commodity Receivable, Stuart Smith, Wanyun Gu, Mahdi Zamani, Akshay Kant, Mohammad Mohsen Minaei Bidgoli, Alessandro Leite
Defensive Publications Series
The present subject matter describes a method for tokenizing a commodity receivable based on a contract. Particularly, the present disclosure provides a method for tokenizing a commodity receivable based on a contract. The method comprises receiving, by a computing system, a request for a tokenized commodity receivable from a client device, where the commodity receivable is based on a contract for a future sale of the commodity. The method also comprises validating, by the computer system, ownership of the commodity to be tokenized based on credentials submitted by a presumed owner of the commodity, liquidity of the presumed owner, and …
2.5-Dimensional High Bandwidth Flexible Memory For High Performance Parallelism, N/A
2.5-Dimensional High Bandwidth Flexible Memory For High Performance Parallelism, N/A
Defensive Publications Series
The ratio of memory bandwidth to compute power (B/C ratio) of a compute die influences the performance of machine learning (ML) applications. The B/C ratio generally degrades with the size of the compute die, as compute power is proportional to the area of the compute die while bandwidth is proportional to the perimeter of the die. This disclosure describes techniques to increase the ratio of memory bandwidth to compute power within an integrated circuit by using tiling geometries that enable the attachment of a compute die to two or more memory dies and by enabling bidirectional workload flows within the …
The Image Capturing Configuration Which Contains A Video Screen Where The Optical Axis Of The Image Capturing Lens Will Coincide With The Center Of The Video Screen., Punarjeewa Abeysekera
The Image Capturing Configuration Which Contains A Video Screen Where The Optical Axis Of The Image Capturing Lens Will Coincide With The Center Of The Video Screen., Punarjeewa Abeysekera
Defensive Publications Series
This paper describes an image capturing configuration which contains a screen where the optical axis of the image capturing lens will coincide with the center of the screen. The image capturing configuration will contain a convex lens to collect the light rays coming from the scene in front of the configuration, a sensor and a video screen. In the image capturing configuration, directly looking at the center of the video screen will be equivalent to directly looking at the center of the image capturing lens.
Method And System For Predicting A Smart Dispute Score, Tram Luong, Jenny Weng, Sai Thrinath Gunda, Jing Yang, Rajat Das, Robert Davis, Richard Stopic
Method And System For Predicting A Smart Dispute Score, Tram Luong, Jenny Weng, Sai Thrinath Gunda, Jing Yang, Rajat Das, Robert Davis, Richard Stopic
Defensive Publications Series
The present disclosure provides Methods, systems, and computer program products for predicting disputed transactions may: obtain transaction-level data associated with one or more prior transactions associated with an account identifier, account-level data associated with the account identifier, and merchant-level data associated with one or more merchants associated with the one or more prior transactions associated with the account identifier; and train a machine learning model, by: providing, as input to the machine learning model, the transaction-level data, the account-level data, and the merchant-level data; receiving, as output from the machine learning model, a prediction of a next transaction associated with …
Hands-Free Image Capture In A Headset With Multi-Keyword Spotter Shortcut
Hands-Free Image Capture In A Headset With Multi-Keyword Spotter Shortcut
Defensive Publications Series
Systems and methods for image capture in headsets are provided. The system may receive, by a headset including a camera, an audio signal comprising a wake-word and a voice command to take a picture. The system may further detect the wake-word of the audio signal by a keyword spotter of the headset. The system may further provide the audio signal to a multi-keyword spotter responsive to detecting the wake-word by the keyword spotter. The system may further send a signal to the camera of the headset to take a picture responsive to detecting by the multi-keyword spotter that a portion …
Multi-Topology Forwarder And Reliability Engineering Deployment Using Operational Insights, Nagendra Kumar Nainar, Carlos M. Pignataro, Madhan Sankaranarayanan, Jaganbabu Rajamanickam
Multi-Topology Forwarder And Reliability Engineering Deployment Using Operational Insights, Nagendra Kumar Nainar, Carlos M. Pignataro, Madhan Sankaranarayanan, Jaganbabu Rajamanickam
Defensive Publications Series
Techniques are presented herein that support an operational experience-aware multi-plane (OEAMP) approach that is based on various operational experience metrics (OEMs) including, for example, licensing status, open service requests or trouble ticket cases based on severity and priority, change management windows or schedules, etc. Under such an approach, a network element (e.g., a node, a line card, or a port) may be mapped to a particular plane based on a derived metric, may be dynamically toggled between planes, etc. According to the presented techniques, various OEMs converge into a topology-controller process, comprising a feedback loop for deriving an error budget, …
Dynamic Modification Of Priority To Reduce Unnecessary Grandmaster Clock Changes In A Precision Time Protocol Network, Mike Overton, Andrew Scott
Dynamic Modification Of Priority To Reduce Unnecessary Grandmaster Clock Changes In A Precision Time Protocol Network, Mike Overton, Andrew Scott
Defensive Publications Series
Precision Time Protocol (PTP) networks typically implement timing redundancy by incorporating multiple clocks from which the grandmaster timing source is selected. The selection is done by the Best Master Clock Algorithm (BMCA) as a function of the clock quality and some configurable priority settings. In common configurations if the current grandmaster fails or its quality degrades, then an alternate will be selected. If the original clock is restored, then it will re-assume the grandmaster role. These grandmaster changes can be disruptive to the network, so this innovation is a means to dynamically modify the priority of the clocks to reduce …
Force Sensor Technology For Trailer Connector Detection, Anonymous
Force Sensor Technology For Trailer Connector Detection, Anonymous
Defensive Publications Series
Most vehicles with towing capabilities are equipped with trailer modules that control trailer lights (stop, turn, park, reverse and rear fog lamps) and brakes, and offer advanced features such as trailer lamp diagnosis, trailer lamp detection, and automatic trailer connection detection. These modules also utilize industry-standard 7/4-way trailer connectors able to measure the electrical characteristics of the trailer lamps and brakes to confirm a successful trailer connection.
The Projection Configuration Which Have The Capability To Project Projections, Where Each Projected Projection Will Simultaneously Exhibit Multiple Unique Brightness Levels, Punarjeewa Abeysekera
The Projection Configuration Which Have The Capability To Project Projections, Where Each Projected Projection Will Simultaneously Exhibit Multiple Unique Brightness Levels, Punarjeewa Abeysekera
Defensive Publications Series
This paper describes a projection configuration which have the capability to project projections, where each projected projection will simultaneously have multiple unique brightness levels. The entire projection configuration will consists of 4 identical vertically oriented projection configurations. Each identical vertically oriented projection configuration will consists of 2 identical sub projection configurations. Each identical sub projection configuration will contain 3 identical video displays, 2 identical beam splitters utilized for combining projections, a convex lens stack, a projection reflecting beam splitter and a light blocking black colored part. The entire projection configuration which consists of the 4 identical vertically oriented projection configurations …
A Method And A System For Simplifying Tax Declaration Activities For Small And Medium-Sized Enterprises (Smes)/Individual Entrepreneurs (Ies), Aliaa Shafie, Viktoriia Safronova, Zoriana Adamovych
A Method And A System For Simplifying Tax Declaration Activities For Small And Medium-Sized Enterprises (Smes)/Individual Entrepreneurs (Ies), Aliaa Shafie, Viktoriia Safronova, Zoriana Adamovych
Defensive Publications Series
The present disclosure provides a method and system for simplifying tax declaration activities for Small and Medium-sized Enterprises /Individual Entrepreneurs (SMEs/IEs). In the present disclosure, the intention is to provide simplified approach within tax declaration activities, where SMEs/IEs are provided with a card account, based on transactional flows of which the appropriate tax amount is calculated and then automatically requested (i.e. via link to pay) to be paid. Thus, there is no need to submit tax declaration and spend time on that from SMEs/IEs side.
Rsvp Ecmp Bypass Lsps, Chandrasekar Ramachandran, Balaji Rajagopalan, Suresh Kumar Boyapati, Kamalesh Rajendran, Nischal Singh
Rsvp Ecmp Bypass Lsps, Chandrasekar Ramachandran, Balaji Rajagopalan, Suresh Kumar Boyapati, Kamalesh Rajendran, Nischal Singh
Defensive Publications Series
Undesired side effects of too much or too little bandwidth reservation in a bypass label switched path (LSP) can be eliminated or at least reduced by having the point of local repair (PLR) compute multiple bypass LSPs to protect a resource (node and/or link). The bypass LSPs do not have any bandwidth reserved. In the event of a failure on the protected LSP, the PLR uses all the bypass LSPs, as opposed to a single bypass LSP, as backup next hops of the protected LSPs. More specifically, when the protected LSP fails, the data plane in the PLR views each …
Smart Roaming Control For Optimal Power Savings In Access Points, Yathi Udupi, Abhishek Gupta, Aruna Nukala, Jerry David
Smart Roaming Control For Optimal Power Savings In Access Points, Yathi Udupi, Abhishek Gupta, Aruna Nukala, Jerry David
Defensive Publications Series
Presented herein are techniques for providing power savings in access points by controlling the roaming of clients from access point to access point. In particular, the power status and power levels of the access points are adjusted dynamically and periodically to accommodate all the devices in an area. Techniques described herein predict locations of devices and, using a constraint optimization problem driven smart heuristic engine, determine the optimal power status and power levels for each access point in an area. Access points may remain in an active mode or may be placed in a power save mode to provide the …
Smart Scheduler For Media Platform, Sundaramoorthy Murugesan, Tamojit Chatterjee, Priyanshi Sharma, Kopal Niranjan, Kanishka Mishra, Shravan Nayak, Manoj Mani, Venkata Kanchu
Smart Scheduler For Media Platform, Sundaramoorthy Murugesan, Tamojit Chatterjee, Priyanshi Sharma, Kopal Niranjan, Kanishka Mishra, Shravan Nayak, Manoj Mani, Venkata Kanchu
Defensive Publications Series
This disclosure relates to a scheduler on a media platform that receives scheduling input from the user about a scheduled program event, and then launch the program in its respective streaming application to stream the scheduled content at the scheduled time. The scheduler may be provider agnostic, where the scheduler may schedule programs across streaming applications on a display device. In some examples, the scheduler may provide a list of programs to be streamed on the display device during the scheduled duration. In some examples, the scheduler may be integrated with a calendar application, and the user can use the …
Digital Map With Indoor Voc Sensor Data Overlay For Indoor Spaces, Abhijit Adsule
Digital Map With Indoor Voc Sensor Data Overlay For Indoor Spaces, Abhijit Adsule
Defensive Publications Series
The presence of volatile organic compounds (VOCs) above certain thresholds can be problematic for those who are allergic to VOCs. Data and alerts from the VOC sensors in a space are currently available only to those who own or manage the space, but not to others who visit the space. This disclosure describes techniques to periodically publish data from VOC sensors to a central repository. The published data can be aggregated and provided in a suitable format to people visiting a space. For example, VOC levels can be displayed as an overlay on a digital map. The availability of such …
Improved Foldable Display Structures With Multi-Layer Coatings And Planarization, Corey Chen, Deepak Manjunath, Avi Hecht, Ryan Park, Mike Lombardi, Vincent Chien
Improved Foldable Display Structures With Multi-Layer Coatings And Planarization, Corey Chen, Deepak Manjunath, Avi Hecht, Ryan Park, Mike Lombardi, Vincent Chien
Defensive Publications Series
This publication describes improved foldable display structures with multi‑layer coatings and planarization that improve lamination quality and visual perception. In aspects, a foldable display structure includes an ultra‑thin glass (UTG) layer, at least two first resin layers, a black matrix (BM) coating, and at least one second resin layer. The UTG layer includes a center portion that forms a valley structure and defines a folding area. The at least two first resin layers are separately disposed, cured, and planarized on a top surface of the center thin glass portion. The separate disposal, curing, and planarization of the first resin layers …
Aluminium Energy Systems, Timo Kauppila
Aluminium Energy Systems, Timo Kauppila
Defensive Publications Series
Enclosed are possible energy system designs based on reactions between Aluminium, Water, and Gallium. The primary enabler for the systems is gallium, which erodes the thin oxide layer on the surface of the aluminum, allowing for it to react with water to form aluminum oxide and hydrogen gas. The resultant hydrogen gas can then be directed to a fuel cell where it combines with air from the atmosphere to produce electricity and water or a combustion chamber to provide mechanical work.
Software Call Stack Protection Technique, Yuexi Chen
Software Call Stack Protection Technique, Yuexi Chen
Defensive Publications Series
The present disclosure discloses a method and a system for protecting the call stack of an API without impacting the functional design of the API. The method includes serializing input values and computing and storing a checksum value based on the serialized values into one commonly accessible buffer before pushing to call stack. Similarly, at the callee, the received values are serialized and the checksum so obtained from the serialized values are then compared against the previously stored checksum value to detect any vulnerability/attack. The present disclosure provides a novel mechanism which protects the call stack from external attacks in …
Blockchain Ledgers For Tracking Datasets Used In Training Ai Models, Nelly Porter, Rene Kolga
Blockchain Ledgers For Tracking Datasets Used In Training Ai Models, Nelly Porter, Rene Kolga
Defensive Publications Series
Owners and providers of artificial intelligence (AI) or machine learning (ML) models have an interest in tracking the datasets used in the training of their models for compliance and/or troubleshooting and in ensuring that high quality datasets are used for training the model. Dataset creators or owners have an interest in knowing if their dataset is being used to train an AI model. This disclosure describes blockchain techniques that capture and maintain the lineage and integrity (tamper-evidence) of a training dataset used for specific versions of AI/ML/generative-AI models. Given a training dataset, its hash is containerized along with a link …
Automatic Selection Of Filter Thresholds For Generative Artificial Intelligence, Jing Xiong, Yanhan Hou
Automatic Selection Of Filter Thresholds For Generative Artificial Intelligence, Jing Xiong, Yanhan Hou
Defensive Publications Series
Ensuring that content output by generative artificial intelligence (Gen AI) models and utilized in an application delivers a quality user experience while also adhering to user safety. Examples of metrics for measuring the risk of model failure include adversarial block rate (ABR) and benign block rate (BBR). To achieve target ABR and BBR, a set of filters may be utilized to filter content output by gen AI models. This disclosure describes techniques to automatically determine suitable operational parameters for downstream filters applied to content produced by generative AI models. Filter thresholds are selected such that content safety is provided while …
Joint Photo And Caption Semantic Search Using A Visual-Language Model Encoder, D Shin
Joint Photo And Caption Semantic Search Using A Visual-Language Model Encoder, D Shin
Defensive Publications Series
Users can search their photo libraries based on the visual content of their photos, with image-to-text encoder models, object recognition, etc. being used to index photos. However, search techniques that do not utilize user-provided captions or other text associated with photos may not return photos that match a search query when the visual content does not match the query. This disclosure describes the use of a visual-language model (VLM) encoder to encode photos and associated captions (when available) into the same encoder space as that for a search query. The VLM encoder is trained using contrastive loss at training time. …
Text-To-Video Generation Using Neural Networks
Text-To-Video Generation Using Neural Networks
Defensive Publications Series
Systems and methods for text to video conversion are provided. The system may receive text representing a natural language description for generating a video. The system may also provide the text as input to a neural network. The neural network may include a first component comprising a text to image model trained to generate one or more images based on an input text. The neural network may further include a second component comprising one or more spatiotemporal layers trained to generate a video based on the one or more images generated by the first component. The neural network may further …
Method And System For Improving Matching Algorithms, Nicholas Bryan Kurlas, Nirmal Kumar Baid, Kimberly Bella, Robert B.Hedges Jr.
Method And System For Improving Matching Algorithms, Nicholas Bryan Kurlas, Nirmal Kumar Baid, Kimberly Bella, Robert B.Hedges Jr.
Defensive Publications Series
Methods and systems are provided for improving matching algorithms which include: receiving user privacy settings and interest preference data; storing the data in a database; inputting the interest preferences data into a machine learning algorithm to generate at least one match between the user and a merchant, wherein the merchant comprises a subset of a plurality of merchants; generating a data sharing message by: compiling first data associated with the user; filtering the first data based on interest preference data and/or privacy settings data to generate shareable data; and for each merchant associated with a subset of the data associated …
Method And System For Implementing A Mobile Application Interface, Joseph Bennett Woodard, Zachary Temkin
Method And System For Implementing A Mobile Application Interface, Joseph Bennett Woodard, Zachary Temkin
Defensive Publications Series
The present disclosure includes methods, systems and computer program products for implementing a mobile application interface. Particularly, the present disclosure provides a method comprises receiving an input regarding a request to carry out an operation of a mobile payment application; determining data associated with an account identifier of an account of a user associated with the request to carry out the operation of the mobile payment application; and providing a user interface including the data associated with the account identifier to display via the mobile payment application.
Explainable Semantic Retrieval Using Dual Encoder Large Language Models, Marco Bonechi
Explainable Semantic Retrieval Using Dual Encoder Large Language Models, Marco Bonechi
Defensive Publications Series
Semantic matching utilizing large language models (LLMs) to convert text or images into embeddings and scoring them can outperform keyword matching in various ways by matching on meaning rather than word equality. However, semantic matching lacks explainability. This disclosure describes dual-encoder LLM techniques to confer explainability to LLM-based semantic matches within information retrieval systems. Semantic meanings are attached to abstract mathematical embeddings to generate gravitational fields that enable dynamic, high-quality information retrieval as measured by precision/recall, query-understanding, concept-matching, speed, scalability, etc. while providing justifications and user-visible corroborations of search results. Information retrieval is also improved in diversity, personalization, and efficiency, …
Sem-Tf-Idf: A Simple Semantic Approach To Generalize Tf-Idf By Employing Instruction Tuned Large Language Models, Wei Chen, Bo Lin
Sem-Tf-Idf: A Simple Semantic Approach To Generalize Tf-Idf By Employing Instruction Tuned Large Language Models, Wei Chen, Bo Lin
Defensive Publications Series
TF-IDF (Term Frequency - Inverse Document Frequency) based information retrieval approaches compute the measure of importance of a word to a document in a collection or corpus, adjusted for the fact that some words appear more frequently in general. However, this measure is solely based on counts of individual words in the document or corpus without consideration of higher-level semantics. Attribute extraction is another approach for identifying salient information about a document; however, the extracted attributes are often multi-word phrases and do not include an indication of their salience for the document in question. This disclosure describes a simple unsupervised …
Indoor Positioning And Navigation By Semantic Localization Based On Visual Context, D Shin
Indoor Positioning And Navigation By Semantic Localization Based On Visual Context, D Shin
Defensive Publications Series
Conventional indoor localization techniques rely on high-precision indoor 3/6 degrees-of-freedom (DOF) positioning of the user device which may be infeasible if the device lacks positioning sensors such as GPS or IMU, if such sensors are turned off, or if the sensors have insufficient accuracy. This disclosure describes techniques the use of language modeling techniques for providing indoor navigation capabilities in the absence of such sensor data based on the local visual context obtained with a camera. Text captions describing frames of the user’s visual context in an indoor space are generated. A collection of captions for the current and recently …
Constructing Motion Trajectory From Sparse Readings From Distributed Sensors, D Shin
Constructing Motion Trajectory From Sparse Readings From Distributed Sensors, D Shin
Defensive Publications Series
While motion sensors can detect when a user is nearby, the sparse measurements from sensors within a physical space cannot capture the user’s trajectory. This disclosure describes the use of machine learning techniques to construct the user’s two-dimensional (2D) trajectory within a physical space based on user-permitted motion sensor data by customizing the encoder/decoder embedding layers in the transformer architecture. The encoder maps the sparse input data from individual sensors to a continuous time sequence of mapped sensor events that are provided to the decoder. The decoder can couple the output of the encoder with a 2D array describing the …
Aluminum Battery, Timo Kauppila
Aluminum Battery, Timo Kauppila
Defensive Publications Series
The following public disclosure outlines an energy system that fits inside of a standard sized cargo container and serves as a large battery. The system is composed of the following parts: A storage container for aluminum, A storage container for water, A storage container for gallium, A reaction chamber, A recycling unit, A fuel cell, A Rechargable Battery, A storage Container for Aluminum Oxide, A chamber for electrolysis, an air intake unit, and a control unit.
Remote Reset Of Baseboard Management Controller (Bmc), N/A
Remote Reset Of Baseboard Management Controller (Bmc), N/A
Defensive Publications Series
This disclosure describes techniques to perform a reset of a baseboard management controller (BMC) of a server device from a network control plane. Per techniques of this disclosure, a specially defined link layer reset packet is transmitted from the network control plane to the computing device that needs to be reset. A reset packet is transmitted from the network level control to initiate reset of the BMC. The reset packet is a link layer packet that includes a predetermined message, e.g., a data frame that includes a reset indicator and a unique identifier of the target device to be reset. …