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Network Risk Forecast Model For Dynamic Service Level Risk Evaluation, Navdeep Sood, Praveen Kumar
Network Risk Forecast Model For Dynamic Service Level Risk Evaluation, Navdeep Sood, Praveen Kumar
Defensive Publications Series
As telecommunication networks grow in size, they also grow in complexity, and it becomes more difficult to identify network risks. Techniques described herein provide for modeling, forecasting, and proactively planning mitigation for risks at the network and individual service layers. Modeling of a network fiber risk involves selecting risk parameters, defining risk parameter subcategories, and modeling the risk parameter subcategories.
Method For Data Exchange Between A Transmitter/Receiver Unit On A Filter Element And A Further Transmitter/Receiver Unit
Defensive Publications Series
The paper is based on the task of enabling secure data exchange between a transmitter/receiver unit on a filter element and another transmitter/receiver fangs unit. This task is solved according to the paper. The method according to the paper is used for data exchange between a transmitter/receiver unit on a filter element and a further transmitter/receiver unit outside the filter element. With the help of the data exchange, in which a data signal is transmitted in encrypted form, a filter element can be identified, for example, so that the installation of a non-matching filter element in a filter housing can …
A Method To Secure A Mobile Payment Application Solution On A Cardholder-Owned Mobile Device, John Markh, Ian Javkin, Yeuxi Chen, Angelito Paca, Victor Tambunan, Marc Kekicheff, Sergey Smirnoff
A Method To Secure A Mobile Payment Application Solution On A Cardholder-Owned Mobile Device, John Markh, Ian Javkin, Yeuxi Chen, Angelito Paca, Victor Tambunan, Marc Kekicheff, Sergey Smirnoff
Defensive Publications Series
Disclosed are methods for securing a mobile application on a cardholder-owned device, including defining principles and minimum security requirements for mobile applications that are designed to capture contactless payment instrument data and perform a cryptographic authentication of the contactless payment instrument. The present disclosure provides a solution that outlines minimum security requirements and evaluation guidance for mobile applications designed to capture data (e.g., a PAN, a cardholder’s name, an expiry data, an EMV cryptogram, etc.) of a contactless payment instrument using short-range communication, such as near-field communication (NFC), and further designed to perform a cryptographic authentication of the payment instrument.
Method And System For Authenticating Payment Transactions Based On Qr Code Scanning Behavior, Kaushal Kumar Jha, Vaibhav Shukla
Method And System For Authenticating Payment Transactions Based On Qr Code Scanning Behavior, Kaushal Kumar Jha, Vaibhav Shukla
Defensive Publications Series
The present disclosure relates to a method and system for authenticating payment transactions based on the unique way a user scans a QR code using their devices. The camera of the device is used to capture a QR code. Other sensors on the device are used to collect data related to the user's hand movements, including speed, angle, and path of hand movement while the user is scanning the QR code. The collected data is transmitted to an authentication server. The authentication server analyzes the received data and creates a unique, user-specific scanning behavior profile. The scanning behavior profile is …
Method And System For Seamless Payment Card Transaction Continuity Using Backup Payment Card Retry Mechanism, Alok Roy
Defensive Publications Series
One embodiment includes a method performed by a payment network processor. The method includes identifying a failed transaction. For example, the customer initiates a transaction process which may be rejected by the issuer resulting in a failed transaction. The method includes payment network processor detecting a failed transaction in real time and identifying the reason for a failed transaction. Additionally, if the identified reason for a failed transaction is one of the valid retry reasons, the payment network processor initiates a retry mechanism by retrieving the backup payment card details stored in the database of the payment network processor 106, …
Context-Based, Dynamic User Interface For A Navigation App, Tom Spigland, Ziv Tzur
Context-Based, Dynamic User Interface For A Navigation App, Tom Spigland, Ziv Tzur
Defensive Publications Series
The user interface of digital map and navigation apps can be cluttered with information and alerts and is not personalized to the user. This disclosure describes techniques that dynamically adjust the presentation of various alerts within the user interface of a digital map/navigation application based on the user context and preferences (obtained with user permission) and on the alert type, e.g., point-based alert or segment-based alert. Dynamic adjustment of the presentation of alerts enables the app to tailor the provision of insights and contextually relevant information to the context, effectively reducing distractions and helping drivers make better decisions. Alerts are …
Ai Assistant-Supported Calls, Gajen Agrawal, Ramprasad S, Ajay Prasad, Saurabh Drolia
Ai Assistant-Supported Calls, Gajen Agrawal, Ramprasad S, Ajay Prasad, Saurabh Drolia
Defensive Publications Series
This publication describes a system and techniques for artificial intelligence (AI)-enhancement of phone calls by determining a context of the call (e.g., a potential purpose of the incoming call, that one or more events are associated with an incoming call or call member, a request for identity verification, a request for payment information, potential for conversational enhancements, etc.) and providing relevant information that is based on the context to a user prior to and during the phone calls. Described techniques may enable the use of an AI assistant to identify and provide relevant conversational components to a user. Aspects of …
Simulating Authentic User Personas To Generate Analytics For Evaluating Digital Products, Oded Elyada, Oriana Riva, Avia Aharon, Ido Hakimi, Ron Ziv, Danny Karmon
Simulating Authentic User Personas To Generate Analytics For Evaluating Digital Products, Oded Elyada, Oriana Riva, Avia Aharon, Ido Hakimi, Ron Ziv, Danny Karmon
Defensive Publications Series
It is challenging to acquire user data from a diverse set of adequate numbers of suitable real end users for design, evaluation, and improvement of a product. Involving real users in evaluation requires a sufficient level of product maturity. It is difficult to bootstrap and test personalization because it requires personal data. This disclosure describes techniques to overcome these limitations by generating synthetic data that mimics authentic digital and social user practices via simulated personas with local memory. The simulation utilizes the semantic understanding and reasoning capabilities of LLMs and includes interaction between the personas and various digital applications and …
Digital Ball Of Yarn For Indoor Positioning And Path Tracing, Manasa Babu
Digital Ball Of Yarn For Indoor Positioning And Path Tracing, Manasa Babu
Defensive Publications Series
Navigation through complex indoor environments can be disorienting, a problem that is compounded by limited accuracy of indoor positioning techniques. This disclosure describes techniques that enable users to digitally trace their path and to enable them to retrace their path from the destination back to the start point. With user permission, tracing starts when a user marks their present spot. Tracing the user’s path is based on data from various sensors on a smartphone, wearable device, or other devices. As the user moves, the digital yarn unspools, recording the user’s movement. A visual trail is created and displayed as an …
Text Steganography Using Large Language Model, N/A
Text Steganography Using Large Language Model, N/A
Defensive Publications Series
While encryption can ensure secure message exchange, the use of encryption can draw attention to the communication because encrypted content is not human readable. While text steganography can embed hidden messages in human-readable text, it is vulnerable to disclosure to unintended recipients. This disclosure describes steganography techniques that leverage machine learning techniques, specifically generative pre-trained transformer (GPT) type large language model (LLM) to generate human-readable natural language text that seamlessly conceals a different message within the text. The use of GPT can enhance the fluency and coherence of the natural language text, thus making it difficult to detect the secret …
A Point-Of-Sale Digital Payment Device For Extending Credit, Ajay Prasad, Gajen Agrawal
A Point-Of-Sale Digital Payment Device For Extending Credit, Ajay Prasad, Gajen Agrawal
Defensive Publications Series
In the absence of credit scores, credit penetration remains low in many regions of the world. This limits economic opportunities for a large portion of the global population that lack credit histories. For many users, traditional sources of credit such as banks or microfinance institutions are difficult to access and cumbersome and are not tailored to their financial needs. This disclosure describes a compact, internet-connected payment device that can be deployed at small and medium-sized business (SMB) outlets. The device serves both as a digital payment terminal as well as an access point for credit discovery and lending. With appropriate …
Traffic Signal Wait Time Estimation Using Machine Learning, Ajay Prasad
Traffic Signal Wait Time Estimation Using Machine Learning, Ajay Prasad
Defensive Publications Series
Urban areas include a large number of traffic intersections and signals. Wait times at traffic signals can be long at times and can lead to user frustration. While digital map applications can provide predictions of overall time of travel for a journey and can also indicate congested parts of the route, these cannot reduce the frustration of waiting at a traffic signal. This disclosure describes the use of machine learning prediction models to automatically generate real-time predictions of wait times at intersections along a route. The predictions are based on historical data as well as on current traffic patterns, weather …
Geometric And Perspective Distortion Correction For Videoconferencing Systems, Hp Inc
Geometric And Perspective Distortion Correction For Videoconferencing Systems, Hp Inc
Defensive Publications Series
Wide angle lenses are used in videoconferencing systems for meeting rooms to fit everybody in the picture. But this type of lens cannot mimic human vision since they have geometric and perspective distortion. We propose a method to correct both types of distortion.
Progressive Audience Reduction For User-Generated Content, Marek Matejka
Progressive Audience Reduction For User-Generated Content, Marek Matejka
Defensive Publications Series
As disclosed herein, a computer-implemented method for progressive audience reduction is provided. The computer-implemented method may include receiving, via a user interface associated with a social media platform, a selection of a group of users to provide with an access to a content associated with a first user of the group of users. The computer-implemented method may include activating an access reduction for the content. The computer-implemented method may include updating, based on the instruction, a metadata of the content. The computer implemented method may include providing, based on the metadata, the access to the content to the group of …
Enhanced Underwater Communication System, Meghana Vakkalanka, Shivani Shivaprasad Naik, Vinuta Chandrakanta Patankar, Likitha R, Priyanka Bansal
Enhanced Underwater Communication System, Meghana Vakkalanka, Shivani Shivaprasad Naik, Vinuta Chandrakanta Patankar, Likitha R, Priyanka Bansal
Defensive Publications Series
Techniques described herein provide for an Intelligent Distributed Model Predictive Control System for Adaptive Underwater Acoustic Communication that integrates distributed model predictive control (DMPC) with machine learning (ML) to dynamically adjust transmission parameters, thereby improving signal reliability and adapting to the underwater environment. By leveraging a distributed architecture, the techniques intelligently manage signal transmission among underwater sensors or clusters of underwater sensors. The subsystems of the system work in unison to predict, optimize, and coordinate communication parameters using advanced ML computations.
Sustainability Measurements Framework For Submarine Cables, Melissa Pereira, Priyanka Pritam Shiravadekar, Neelanjan Kayal, Jason Bulpin, Kanishka Priyadharshini Annamalai, Tim Stammers
Sustainability Measurements Framework For Submarine Cables, Melissa Pereira, Priyanka Pritam Shiravadekar, Neelanjan Kayal, Jason Bulpin, Kanishka Priyadharshini Annamalai, Tim Stammers
Defensive Publications Series
Today, organizations cannot pick/choose the most sustainable undersea cables through which to send their internet traffic because they lack the visibility of sustainability metrics regarding such cables. Proposed herein is a submarine cable scoring system that provides a compass for navigating the complexities of sustainability and performance in subsea cable networks. Broadly, the system proposed herein may proposed herein may be characterized as a holistic tool, combining operational sustainability with network performance scores, which may enable selection of undersea cables based on various metrics. With data ingested from cable providers, performance metrics, and third-party sustainability insights, the system can deliver …
An Advanced Way To Ensure Data Quality Of Retrieval Augmented Generation (Rag) Pipelines, Kautuk Pandey
An Advanced Way To Ensure Data Quality Of Retrieval Augmented Generation (Rag) Pipelines, Kautuk Pandey
Defensive Publications Series
The present disclosure provides a method of an automated way to calculate and evaluate quality factor of metadata provided to Retrieval Augmented Generation (RAG) pipelines for ensuring data quality of RAG pipelines used in LLM apps for Generative Artificial Intelligence (AI) application. The method includes capturing metadata of vectors/ embeddings while receiving vectors/ embeddings, applying Anomaly Detection models to generate threshold for expected metadata, applying quality score based filtering based on metadata on the Approximate Nearest Neighbour (ANN) search while generating output response in response to user query, providing output response based on the filtered vectors
Techniques To Facilitate Meeting-Assisted Foreign Language Learning, Qiuxue Xia, Yu Zhou, Menghui Miao, Ting Yu
Techniques To Facilitate Meeting-Assisted Foreign Language Learning, Qiuxue Xia, Yu Zhou, Menghui Miao, Ting Yu
Defensive Publications Series
An innovative, immersive English learning tool, referred to as 'MyVocab', is proposed herein that can be integrated into a client of a collaboration service. The English learning tool may enhance language acquisition by categorizing vocabulary based on user preferences, such as proficiency level and interests, and updating word lists in real-time during collaboration sessions (e.g., online meetings, etc.). The tool may offer Basic and Smart modes for in-session engagement by providing definitions, usage, and pronunciation for selected words, while also adjusting difficulty levels and offering predictive text assistance. Following a collaboration session, the tool may serve as a standalone application …
Integrated Cast Noise Suppressor On Compressor Housing With Ported Shroud
Integrated Cast Noise Suppressor On Compressor Housing With Ported Shroud
Defensive Publications Series
Ported Shroud for a compressor housing allows air from downstream of compressor wheel inducer to recirculate back to upstream in order to increase flow stability and avoid surge. However, this results in an increase in noise produced by the compressor. Noise suppressors that are typically added at the inlet to address this problem make inlet assembly complex and increase the cost. The proposed solution addresses this issue with a novel design of a ported shroud in which noise suppressor is integrated into the compressor inlet and cast as a single component.
Method And System For Managing Recommerce Using Ai And Blockchain, Nitin Gupta, Silky Bhardwaj
Method And System For Managing Recommerce Using Ai And Blockchain, Nitin Gupta, Silky Bhardwaj
Defensive Publications Series
The present disclosure provides a method and system for facilitating the resale of pre-owned products through a recommerce system/marketplace. Sellers post product details, which are analyzed using AI technology to assess condition and determine a fair market price based on factors like age, brand, and demand. Blockchain technology is employed to verify authenticity, track ownership transfers, and manage related details, ensuring a transparent and trustworthy marketplace. Buyers can confidently browse and select products, knowing that the descriptions and pricing are accurate. When a purchase is initiated, the transaction is securely processed through a payment platform that integrates Blockchain technology. This …
System And Method For Seamless Layout Switch During Virtual Meetings, Anton Volkov, Ryan Fedyk, Adam Karnas, Felix Mejia
System And Method For Seamless Layout Switch During Virtual Meetings, Anton Volkov, Ryan Fedyk, Adam Karnas, Felix Mejia
Defensive Publications Series
A system and method for seamless layout switching during virtual meetings is disclosed, enhancing participant engagement and usability by allowing smooth transitions between various user interface (UI) layouts. The system enables participants to use input devices, such as a mouse or touchpad, to scroll through different layouts, adjusting the size and prominence of presentation content and participant video streams dynamically. By leveraging a video session manager module and a display control module, the system prioritizes and manages media streams, ensuring a seamless viewing experience. This includes displaying a presentation in an immersive view or balancing the view of multiple participants. …
Removing Undesired Elements And Enhancing Photo Angles Using Artificial Intelligence, Joseph Johnson Jr, Quinn Johnson
Removing Undesired Elements And Enhancing Photo Angles Using Artificial Intelligence, Joseph Johnson Jr, Quinn Johnson
Defensive Publications Series
User captured photos may inadvertently include passersby, may be captured from a less than optimal angle, exclude the photographer from a group photo, or have other defects. This disclosure describes the use of generative artificial intelligence (AI) models to automatically generate updated photos based on captured photos in response to a user command, e.g., provided as a prompt. The updated photo may change the capture angle (e.g., using NeRF) to improve framing, may remove an unwanted person, or construct group photos that do not exclude the group member taking the photo. To enable removal of unwanted people or addition of …
Application Tailored Multicast, Anonymous
Application Tailored Multicast, Anonymous
Defensive Publications Series
Application Tailored Multicast revolutionizes multicast communication by introducing an optional field in the Internet Group Management Protocol (IGMP) version 3 (IGMPv3) membership report for application identifiers. This allows hosts to subscribe to specific content or services within multicast groups, enhancing efficiency and flexibility. Additionally, configuration of this application identifier in the multicast router enables tailored multicast delivery, optimizing network resources and meeting diverse application requirements. A multicast source can advertise different services within the same multicast group address by incorporating application-specific data into the multicast packets.
Gesture-Driven Searching Of The Physical World Using A Wearable Device, Manasa Babu
Gesture-Driven Searching Of The Physical World Using A Wearable Device, Manasa Babu
Defensive Publications Series
Physical world searches have significant friction. To initiate image-driven searches on a smartphone or a wearable device such as a smartwatch, a user needs to perform multiple actions, which increases the time taken and complexity of conducting search for physical objects or places. This disclosure describes techniques that enable users to initiate a search in the physical world using hand gestures while wearing a wearable device such as a smartwatch. Gestures are used to identify the subject of a query and obtain user confirmation of search intent. The search results are delivered on the wearable device and/or on other devices …
Dual Bt Power Optimization, Hp Inc
Dual Bt Power Optimization, Hp Inc
Defensive Publications Series
This disclosure relates to the field of power consumption optimizing to device using Bluetooth technology. A program (system, circuit, etc.) is disclosed that device with more than one BT connection capability operates and adjust BT power without prevents user lost connection or impact user experience.
Refrigerant Flooded Power Electronics Cooling
Refrigerant Flooded Power Electronics Cooling
Defensive Publications Series
Indirect cooling method for power electronics, such as inverters, typically involves transferring heat away from the components without direct contact with the cooling medium. They are not very efficient for high power applications and often demand higher creepage and clearances between the components of the PCB. The proposed solution uses a direct cooling approach by flooding the power electronics PCBs with refrigerant. This direct contact cooling not only improves the cooling efficiency but also reduces overall packaging size by reducing the creepage clearances.
Efficient Image Compression Via Shared Embeddings Generated By A Large Visual Model, D Shin
Efficient Image Compression Via Shared Embeddings Generated By A Large Visual Model, D Shin
Defensive Publications Series
Conventional image or video compression is based on the local statistics of an image and ignores statistical correlations across similar images. Such compression may not reach a globally optimal compression ratio for a collection of images that share similar features. This disclosure describes techniques to compress images by using large visual machine-learning models to generate a common embedding, shared by similar images, and a unique embedding, specific to the image, to improve compression efficiency. The techniques leverage the ability of large visual models (LVMs) to generate or reconstruct high-quality images from small embeddings. The techniques also leverage the observation that …
Fractional Royalties To Artists For Artificial Intelligence Generated Music, Na
Fractional Royalties To Artists For Artificial Intelligence Generated Music, Na
Defensive Publications Series
Artificial intelligence (AI) technologies can be used to create highly customized music content tailored to individual preferences and/or musical trends. However, personalized music generation currently does not acknowledge or reward creators whose content forms part of the training data/ input to music generation AI models. This disclosure describes techniques that can take as an input the listener's music profile, preferred genres, and global music trends. These inputs are used to identify a set of songs that are provided as input to a generative AI model that generates new music. The generated songs are provided to listeners for playback. For each …
On-Device Llm-Driven Application Function Calling For Natural Language Interaction, Milen Ferev, Yishuang Pang, Pulkit Bhuwalka
On-Device Llm-Driven Application Function Calling For Natural Language Interaction, Milen Ferev, Yishuang Pang, Pulkit Bhuwalka
Defensive Publications Series
Large language models can enable application programmers to translate user instructions in natural language into a sequence of corresponding function calls; however, currently LLMs that provide such capabilities are housed in the cloud. Use of remotely hosted LLMs can introduce operational latency, affect reliability, and can be infeasible in certain cases. This disclosure describes the use of an on-device LLM to enable app developers to support natural language interactions with users without having to implement code within their applications. Per the techniques, with user permission, a user command in natural language as received by an application is provided to the …
On Demand Digital Card Display, Anup Tripathi, Imo Akpan, Haven Vu, Suresh Kalakrishnan
On Demand Digital Card Display, Anup Tripathi, Imo Akpan, Haven Vu, Suresh Kalakrishnan
Defensive Publications Series
Disclosed herein is an outline of processes for accessing account information linked to a payment card, free from dependence on an issuer application. In this process a computing device first acquires a deep link from the payment network and then receives input from the user. Subsequently, an application clip is invoked in response to the user input, prompting the user for identity verification. Upon successful verification, the account information is displayed through the application clip, deep link or with in the native application.