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Dust Trapping Raised Floor Tiles, Prasanth Paila, Pratyush Punyapu, Rohit Dev Gupta
Dust Trapping Raised Floor Tiles, Prasanth Paila, Pratyush Punyapu, Rohit Dev Gupta
Defensive Publications Series
When an air filter is clogged in a system, fans in the system need to run at a higher speed to compensate for the airflow loss, which results in high power consumption, high acoustic noise, and overheating. Techniques described herein provide for trapping airborne dust from cool air by placing chemically coated surfaces under tiles of raised floors in a data center. Trapping the dust from the cool air results in extended air filter life, lower power consumption, lower noise, lower maintenance and operating costs, and better control over the ambient temperature.
Enabling Extreme Low Power Mode Based On Bluetooth Quality Reports, Feng-Jui Kuo
Enabling Extreme Low Power Mode Based On Bluetooth Quality Reports, Feng-Jui Kuo
Defensive Publications Series
Unchecked power consumption at low battery levels can hasten the shutdown of a device, causing inconvenience to the user. This disclosure describes an extreme low power mode for devices that have Bluetooth capabilities. At low battery levels, statistics of recent activities and current consumption of the Bluetooth controller, as obtained from Bluetooth quality reports (BQR), are used to adaptively select energy appropriate Bluetooth modes. In the extreme low power mode, the audio codec can be switched to one that minimizes current consumption; the frequency of Bluetooth/BLE advertising and scanning can be reduced; the frequency of BLE advertising reports can be …
Foldable Device With Dynamic User Interface For Search Engine And Chatbot, Jing Liang
Foldable Device With Dynamic User Interface For Search Engine And Chatbot, Jing Liang
Defensive Publications Series
Current chatbots, e.g., powered by a large language model (LLM) respond to a user query via a conversational user interface. The user interface is not optimized for portable devices that have smaller screen size and may be foldable. Also, while chatbots can answer certain types of questions well, their answers are not always reliable. This disclosure describes a dynamic user interface that combines the advantages of a chatbot and a search engine in the context of a foldable device. The display area of the foldable device is split into two portions, one for query responses from an index-based search engine …
Payment Card As A Unique Identifier For Identification And Delayed Payment, Samuel Oliver
Payment Card As A Unique Identifier For Identification And Delayed Payment, Samuel Oliver
Defensive Publications Series
The present invention provides a system and method for automatically identifying, assigning, aggregating and generating a bill for a customer using a unique identifier, where the unique identifier is a primary account number (PAN). The present system obtains the payment credentials through a payment device from the customer before placing the order or while ‘paying’ for the order and instead of immediately processing a standard payment, the system generates a hash value by performing a hash algorithm. The generated hash value is stored and or matched to the customer. The merchant or ePOS then assigns the order details to the …
Quantify Peer-To-Peer (P2p) Payment Trust, Justin Marciano
Quantify Peer-To-Peer (P2p) Payment Trust, Justin Marciano
Defensive Publications Series
The present disclosure provides a method and system which enables P2P payment application interfaces to access data required to calculate a social accountability metric comprising a trust score indicative of good payment behavior or bad payment behavior of users using the P2P applications. Depending on the score calculated, the trust level will be assigned as “Very Low,” “Low,” “Medium,” “High,” or “Very High” for the P2P payment account of the users. This score incentivizes users to use the P2P apps more frequently and encourages good payment behavior while allowing people to make their own decisions.
Compressing Presentation-Dominated Video Files, Ankur Goel
Compressing Presentation-Dominated Video Files, Ankur Goel
Defensive Publications Series
A technique is proposed for efficiently compressing presentation-dominated video files. Processing logic may receive, from a video conferencing platform, a video file including multiple frames and audio. The processing logic further may identify multiple presentation slides associated with the video file. In some instances, to identify the multiple presentation slides, the processing logic may receive the presentation slides from one of the video conferencing platform or a user of the video conferencing platform (e.g., via a client device). The processing logic may further generate a mapping of each of the multiple presentation slides to one or more of the multiple …
Wlc/Ap Function Orchestrator, Jerome Henry, Robert Barton, Indermeet Gandhi
Wlc/Ap Function Orchestrator, Jerome Henry, Robert Barton, Indermeet Gandhi
Defensive Publications Series
Dynamically positioning orchestration functions, which operate at the scale of a few Access Points (APs), to a cluster of APs maintains efficiency of operations as the number of functions and clusters increases. Especially in contrast to a deployment model in which all functions either operate at an individual AP or operate on the Wireless Local Area Network (LAN) Controller (WLC), positioning functions in limited clusters of APs optimizes compute load/time and message travel time between participants. This distributed type of structure becomes more effective as a WLC is pushed toward a cloud network deployment, where travel delay and scale may …
Intelligent Intent-Recommender In Intent-Based Networking (Ibn) Using Unknown Traffic Identification, Claire Y. Chour, Doosan Jung, Qihong Shao, Dave Zacks
Intelligent Intent-Recommender In Intent-Based Networking (Ibn) Using Unknown Traffic Identification, Claire Y. Chour, Doosan Jung, Qihong Shao, Dave Zacks
Defensive Publications Series
An intent recommendation system for an Intent-Based Networking (IBN) system classifies unknown traffic in a network environment using machine learning. The intent recommendation system provides a network administrator with full visibility of their network traffic so they can properly define their intent for network traffic flows within a traditional IBN model. Based on the categorization of unknown network traffic the intent recommendation system provides recommendations for how the network administrator should define their intents for each unknown network flow. The network administrator may choose whether or not to follow the intent recommendation for each unknown network traffic flow. A feedback …
Dynamically Responsive Search Result Weblinks, Diego Baron, Judy Mou, Andrew Silverman, Pavan Kuppili
Dynamically Responsive Search Result Weblinks, Diego Baron, Judy Mou, Andrew Silverman, Pavan Kuppili
Defensive Publications Series
When a general purpose search engine is used to search dynamic databases, outlinks in the search results page simply point to the relevant databases, without specifying the filtering parameters entered as part of the search query. When the user clicks on a search result and is redirected to the target webpage, the user is forced to re-enter filtering parameters that were already provided as part of the search query. This disclosure describes dynamic search result outlinks where user-provided search parameters are used, with user permission, to automatically fill information in the web page pointed to by the outlink. This ensures …
Configuring And Auditing Vpc Network Traffic Using A Private Hyperledger Blockchain, Kishore Jagannath
Configuring And Auditing Vpc Network Traffic Using A Private Hyperledger Blockchain, Kishore Jagannath
Defensive Publications Series
Organizations with cloud computing operations set up connectivity between their networks to facilitate secure, low cost communication. Such inter-organization connectivity opens up network boundaries to applications running in networks that belong to cross-border business units or organizations. Participating organizations require secure, tamper-proof audit trails of communications across network boundaries without relying on the cloud provider. This disclosure describes blockchain-based techniques to provide trust, immutability, and independent verifiability of audit logs of network traffic between organizations. A permission-based blockchain built using hyperledger fabric is provided to enable efficient audit of network communication between networks belonging to different parties or entities. A …
Domain Performance Indexes (Dpis) For Improving Predictive Networking And Network Correlation, Navdeep Sood, Praveen Kumar
Domain Performance Indexes (Dpis) For Improving Predictive Networking And Network Correlation, Navdeep Sood, Praveen Kumar
Defensive Publications Series
The concept of a domain is fundamentally relevant to segment routing (SR) Flexible Algorithm (Flex-Algo) technology and to Border Gateway Protocol (BGP) backbone networks. Additionally, all Internet service providers (ISPs) employ the concept of a domain to distinguish network segments for manageability and traffic control. The existing metrics are, however, confined to nodes and links. To address this limitation, techniques are presented herein that support a number of new metrics which apply to a domain and which help an operator to improve predictive networking, network correlation, and traffic engineering at a domain level. Such metrics provide a measure of, among …
Sustainable And Sla-Satisfying Traffic Engineering, Praveen Parthasarathy Iyengar, Alhad Rajuwar, Maneesh Saxena, Pralhad Katti
Sustainable And Sla-Satisfying Traffic Engineering, Praveen Parthasarathy Iyengar, Alhad Rajuwar, Maneesh Saxena, Pralhad Katti
Defensive Publications Series
A network controller allows clients of the data center to make decisions on how to incorporate green services into their data center usage. A green-aware Service Level Agreement (SLA) map provides insight into the sustainability factors for each node that is used to perform a service for the client. The green-aware SLA map is determined according to an Environment Conscious (EC) metric that quantifies the environmental and sustainability impacts of performing a service at a data center.
Generic System And Method For Json Data Parsing, Vishesh Kain
Generic System And Method For Json Data Parsing, Vishesh Kain
Defensive Publications Series
The present disclosure provides a method and system that is generic for automatic JSON data parsing. The system obtains the JSON data of various structures as input for parsing. During the parsing, if the JSON data is not valid or corrupt then the system filters out that JSON data and stores at a different location. Thereafter, the system parses the JSON data from top to bottom after analysing each key and stores the values of each key. During the parsing, a schema of the JSON data is created by the system. The system derives unique names of column after analysing …
Differential Anomaly Detection For Analysis Of High Cardinality Time-Series Data, Sarah Thompson
Differential Anomaly Detection For Analysis Of High Cardinality Time-Series Data, Sarah Thompson
Defensive Publications Series
Analysis of high cardinality time-series data is necessary in several contexts, such as root cause analysis based on logs, when outages occur in large computing infrastructure. Driving down mean time to mitigation (MTTM) depends on timely alerting, rapid root cause analysis, and effective mitigation. This disclosure describes differential anomaly detection to analyze system logs and automatically identify evidence of the likely root cause of a system outage in a way that is understandable to a human. The techniques described in this disclosure overcome the cardinality limitation and can find the most relevant information that is usable by engineers to take …
Asset Quality Management, Pik Koon Oon, Siqing Liu, Plamena Petrova
Asset Quality Management, Pik Koon Oon, Siqing Liu, Plamena Petrova
Defensive Publications Series
The present disclosure relates to a method and system for asset quality management by a financial entity. The system includes a pre-delinquency module and a sloppy payer detection module for efficient management of assets. The pre-delinquency module detects a number of 0 DPD accounts at a point of observation that may roll forward to 30+ DPD accounts in performance window using a validated ML model. The sloppy payer detection module detects a number of 1-29 DPD accounts at the point of observation that may be cured to 0 DPD accounts in performance window. Further, the pre-delinquency module evaluates an “At …
A Method And System For Secure Document Search, Nicholas Kersting, Joydeep Mitra, Aman Mohanty, Miaomiao Liu
A Method And System For Secure Document Search, Nicholas Kersting, Joydeep Mitra, Aman Mohanty, Miaomiao Liu
Defensive Publications Series
The present disclosure discloses a method for secure document search. The objective of the present disclosure focuses on avoiding the need to decrypt the whole database while retrieving the necessary data. The method discloses a method for encrypting and searching documents using a combination of vectorization, hashing, and set intersection. The method includes defining a dictionary to map tokens to unique vectors, forming n-token combinations of the document, and hashing each combination using a nonlinear irreversible function such as a deep neural network. The output of the present disclosure is a set of D-dimensional vectors that represent the document.
Recipe Recommendations Based On Visual Input Of Available Ingredients, Cliff Chin Ngai Sze, Russell Goldenbroit, Elisabeth Jeremko
Recipe Recommendations Based On Visual Input Of Available Ingredients, Cliff Chin Ngai Sze, Russell Goldenbroit, Elisabeth Jeremko
Defensive Publications Series
It is difficult to choose recipes that can be prepared using ingredients available at home. Manually identifying available ingredients and performing searches for feasible recipes is cumbersome and error prone. This disclosure describes techniques that enable users to obtain recipe recommendations by capturing available ingredients visually as images and/or videos. With user permission, the visual input is analyzed using computer vision and natural language processing techniques to identify the type and quantity of available ingredients. Matching recipes are determined using a search engine and ranked based on the user’s preferences. The user can filter the list based on various criteria …
Per Prefix Flexible Metric For Intent Based Routing And Traffic Engineering Using Eigrp, Rohit Saluja, Pranay Anand, Baalajee S, Aditya Dogra, Abin Mathew Abraham
Per Prefix Flexible Metric For Intent Based Routing And Traffic Engineering Using Eigrp, Rohit Saluja, Pranay Anand, Baalajee S, Aditya Dogra, Abin Mathew Abraham
Defensive Publications Series
Routing protocols are typically designed to use a single-cost formula for all of a protocol's routes. In some instances, a network administrator can adjust the cost formula of the Enhanced Interior Gateway Routing Protocol (EIGRP), but the protocol applies the formula uniformly to all prefixes, which can cause all applications to suffer from lower performance. In order to address such issues, techniques are presented herein through which a flexible metric can be applied that is isolated to prefixes. for example, the techniques presented herein provide for the reduced use of Virtual Private Network (VPN) routing & forwarding (VRF) instances on …
Method To Actively Drain Ev Battery Due To Impending Flood Condition, Anonymous
Method To Actively Drain Ev Battery Due To Impending Flood Condition, Anonymous
Defensive Publications Series
No abstract provided.
Dynamic Function Updates For Hybrid Controllers, Jerome Henry, Robert Barton, Indermeet Gandhi
Dynamic Function Updates For Hybrid Controllers, Jerome Henry, Robert Barton, Indermeet Gandhi
Defensive Publications Series
This submission presents a technique to synchronize data displayed in a Cloud network management unit and an on-premise network management unit for an enterprise deployment. In many cases, the available bandwidth for the Cloud network management unit forbids the near-real-time display of data available at an on-premise network management unit. However, by measuring which page may be accessed and the type of data is to be displayed via the page, the technique of this proposal provides for the ability to stream only the amount of data needed for a Cloud administrator to experience real time management, without consuming a large …
Safer Audio Consumption While Driving, Ramprasad Sedouram, Daniel Victor Klein
Safer Audio Consumption While Driving, Ramprasad Sedouram, Daniel Victor Klein
Defensive Publications Series
A computing device (e.g., a smartphone, a laptop computer, a tablet computer, a smartwatch, etc.) may monitor audio streams and adjust non-navigational audio streams based on a detected real-life context. The computing device may evaluate the real-life context and identify situations requiring reduced distractions. The computing device may determine, based on the evaluation of the audio streams, whether a user may be focused on an activity and should not be distracted from potential hazards. The computing device may additionally evaluate the audio streams and identify navigational and non-navigational streams. Based on the identified real-world context and audio streams, the computing …
Method For The Enrichment Of Sensor-Detected Driving Events, Axel Unger
Method For The Enrichment Of Sensor-Detected Driving Events, Axel Unger
Defensive Publications Series
No abstract provided.
Drive State Feedback Mechanism For Electric Vehicles (Dsfm For Ev), Axel Unger
Drive State Feedback Mechanism For Electric Vehicles (Dsfm For Ev), Axel Unger
Defensive Publications Series
No abstract provided.
Avoiding Speech Collisions In Multi-Party Conferencing Via Modulation And Time Shifting, D Shin
Avoiding Speech Collisions In Multi-Party Conferencing Via Modulation And Time Shifting, D Shin
Defensive Publications Series
Network latency coupled with the lack of audiovisual cues in multi-party online conferencing can lead users to experience speech collisions when two or more parties start speaking at roughly the same time. Attempts to repair speech collisions typically result in a period of silence and attempts to break the silence may result in further speech collisions. This disclosure describes techniques to automatically detect and correct speech collisions in a multi-party conference by breaking ties among simultaneous speakers by modulating the amplitude and/or shifting the time of the audio forward for any user who starts speaking after the first speaker. As …
Measuring User Journey Friction In Search Engines, Abhishek Roy, Rebecca Umbach
Measuring User Journey Friction In Search Engines, Abhishek Roy, Rebecca Umbach
Defensive Publications Series
This disclosure describes techniques to measure user friction in search tasks performed by a user using a search engine. User friction can be defined as the inverse of total time spent in refinement before a user obtains a desired search result. User friction is indicated by the amount of user actions taken before the user obtains a desired search result. Based on user-permitted metadata indicating queries and actions input by the user, a user search session is divided into user visit segments classified based on the query intent of the user, each segment indicating a search task. User friction scores …
Language Identification For Language Agnostic Text, Shubhi Sareen, Vijay Garg, Abhinav Khandelwal, Nidhi Gupta, Srinivas Varanasi, Aditya Singh
Language Identification For Language Agnostic Text, Shubhi Sareen, Vijay Garg, Abhinav Khandelwal, Nidhi Gupta, Srinivas Varanasi, Aditya Singh
Defensive Publications Series
Detecting query language is an important task for applications such as search engines, virtual assistants, etc. It is difficult to correctly determine the language for short text. This task is even more difficult when the text includes references to entities, brands, or other words that are common across multiple languages. Language classifiers can be used to identify query language as well as to determine the intent language of the users. This disclosure relates to techniques to define and identify language agnostic tokens and phrases from text. The techniques described herein can be used to identify language agnostic text (e.g., in …
Application Of Ai/Ml Techniques To Create Confidence/Trust Score To Protect Users Against Phishing Attacks, Vinay Kumar Abburi, Stephen M. Orr
Application Of Ai/Ml Techniques To Create Confidence/Trust Score To Protect Users Against Phishing Attacks, Vinay Kumar Abburi, Stephen M. Orr
Defensive Publications Series
Existing methods to prevent phishing attacks in enterprise environments typically rely on employees being vigilant with regard to email and/or internet use. However, as employees juggle to work on multiple priorities, sometimes they fall prey to targeted phishing attacks. Presented herein are techniques through which data can be pulled from multiple sources and analyzed using AI/ML techniques in order to predict potential phishing attacks for users across multiple mediums.
Temporal Tokenization Service, Pratik Satapathy, Babu Saginadham, Ravi Bhushan Mishra, Vamsi Krishna Kalidindi, Abdul Jakeer Gurramkonda
Temporal Tokenization Service, Pratik Satapathy, Babu Saginadham, Ravi Bhushan Mishra, Vamsi Krishna Kalidindi, Abdul Jakeer Gurramkonda
Defensive Publications Series
The present disclosure relates to a method and system for provisioning of temporal tokens for payment cards and enabling payments using the temporal tokens. The present disclosure discloses methods to provision one or more temporal tokens to a payment card, that can be used by a customer or a trusted user registered or nominated by the customer, for performing transactions in scenarios where the payment card and an authenticated mobile device are not available with the customer or the trusted user. The present disclosure provides a secure and efficient method of performing transactions using the temporal tokens in the above …
Stratified Investigation Of Low-Performing Network Architecture (Sina) Using Graph Neural Networks And Peer Benchmarking, Benjamin L. Chang, Qixu Gong, Qihong Shao
Stratified Investigation Of Low-Performing Network Architecture (Sina) Using Graph Neural Networks And Peer Benchmarking, Benjamin L. Chang, Qixu Gong, Qihong Shao
Defensive Publications Series
Monitoring and troubleshooting networks to improve their performance and reliability is a complicated task, not only because it requires the checking of every single network device but also because it involves understanding the connections between those devices. To address that complexity, techniques are presented herein that support a Stratified Investigation of Low-Performing Network Architecture (SINA) system. Such a system is a framework that identifies any low-performing network architecture areas and makes improvements on a subnetwork level. Such a system may automatically identify low-performing areas of a customer’s network based on information about similar networks and expert knowledge with solutions. Such …
Automated Testing Of Software With Adequate Coverage Of Input Space, Matt Kenison, Justin Bagwell, Mike Meade
Automated Testing Of Software With Adequate Coverage Of Input Space, Matt Kenison, Justin Bagwell, Mike Meade
Defensive Publications Series
Some software products have large input spaces, with potentially an exponentially large number of parameter combinations. It is infeasible to exhaustively test such software products. This disclosure describes techniques to automatically generate input space coverage for a software product by generating test cases from a rules grammar while maintaining coverage over the lifetime of the product. The various components include a grammar for describing the input space; a test engine to accept workloads and input parameters and to generate test cases that run workloads against input parameters; a software module that computes the number of interacting parameters to test and …