Digital Commons Network^™

Product Search Refinements Based On Inventory Data, Aashiya Begum, Kristoffer Lidstrom, Nitzan Ishai

Defensive Publications Series

Store navigation queries can often be broad in nature, with user intent ranging from navigational (getting directions to the store or a link to the store website) to evaluating a store for a visit based on store vibe, inventory selection, product availability, etc. Search results for a local store can be unhelpful if the inventory for the store is unavailable to the search engine. This disclosure describes techniques that reduce or eliminate hurdles in online shopping journeys by displaying product categories and alternative stores that are relevant to a user query. The techniques enable users to continue or start their …

Obtaining Interest Group Identifiers From Url Address Bar, Wei Huang, Zhenyu Liu, Michael Kieber

Defensive Publications Series

API scripts can be used to send information identifying user’s interests from their devices to entities, e.g., content publishers for use in customizing content for the users. However, in some situations, e.g., when a user enters a search query in an address bar of a web browser, the scripts may not be executed. Other techniques can be used to send the information identifying user’s interests, such as macros, HTTP headers, and/or cookies.

Optimizing Data Access Using Symbolic Links And Machine Learning, Puneet Mahajan

Defensive Publications Series

Traditional data management practices replicate data across data centers and regions to ensure availability and performance. Such data replication can result in high operational costs, complex data management, inefficient resource utilization, etc. This disclosure describes techniques that address the inefficiencies and complexities of existing cloud storage and data access mechanisms by leveraging the simplicity and efficiency of symbolic links for data tables and by dynamically optimizing data access based on usage patterns discovered using machine learning. Unnecessary data replication is reduced, leading to simplified data management, efficient resource utilization, and lower operational costs. Data access in distributed environments is made …

Transnet: Transaction Networks For Tabular Data, Minghua Xu, Huiyuan Chen, Menghai Pan, Yuzhong Chen, Yingtong Dou, Mahashweta Das

Defensive Publications Series

The present disclosure relates to a technique for implementing data loading in hierarchical pipeline for maximum utilization of computer resources (like GPU, etc.) and to obtain effective prediction performance from the numerical and categorical features. The technique involves dividing the data into chunks of data, batching them to form tensors and loading the batched data to the framework to be executed on the GPU. The framework generates embeddings for the numerical and categorical features identified from the batched data and determines the interactions between the generated embeddings to provide a predictive output.

Techniques To Facilitate Multi-Access Point Coordination (Mapc) In A Wireless Local Area Network (Wlan) Environment, Malcolm Smith, Brian Hart

Defensive Publications Series

Standards organizations involved in the development of next generation wireless local area network (WLAN) standards, such as the Institute of Electrical and Electronics Engineers (IEEE) 802.11 and 802.11bn standards, and amendments thereof, are discussing the possibility of WLAN operation involving a shared transmit opportunity (TXOP) under multi-access point (AP) coordination (MAPC) control in which a leader AP can initiate each of a TXOP with a follower-to-leader information exchange and then a notional multi-AP trigger frame. Current proposals for such operation do not define contents of the trigger for the range of MAPC mechanisms, such as spatial re-use, Time-Division Multiple Access …

Configurable Sampling Curves For Data Logging And Telemetry, Ashok Chandwaney, Cindy Zhou, Branden Archer

Defensive Publications Series

Telemetry can be added to measure the function of application and device features. As feature stability increases, telemetry becomes less necessary. However, ramping down telemetry requires engineering effort and not all devices may receive configuration updates to reduce telemetry. This disclosure describes techniques that enable software or hardware developers to specify a log-sampling curve that automatically ramps down telemetry over time. The techniques enable developers to obtain telemetry data in a manner that optimizes data consumption and footprint. The techniques advantageously result in a long-term reduction in the volume of telemetry data without an abrupt drop-off in such data. Close …

Automatic Categorization Of Log Files And Incident Reports, Shrey Nagpal, Souvik Paul, Shubham Sharma, Prerna Kakkar

Defensive Publications Series

Log files and reports describing outages and bugs include free-form text fields that include information about system outages or bugs in a computer system. However, identifying patterns such as common types of bugs, affected users, critical components or binaries, etc. manually from such documents can be tedious. This disclosure describes techniques to automatically categorize documents in multiple relevant categories based on the key features extracted from free-form text information in the documents. The extracted features are subjected to dimensionality reduction. Clustering techniques are applied to automatically identify clusters that are then used to generate visualizations. In the context of documents …

Architecture For Converting Natural Language To Sql Queries, Kanchana Patlolla, Steve Walker, Carlos Augusto

Defensive Publications Series

The ability to automatically convert natural language (NL) queries to structured query language (SQL) queries (NL2SQL) can improve the accessibility of databases to end users. This disclosure describes a standardized NL2SQL architecture pattern (including building blocks) for querying structured data using natural language. The probabilistic nature of large language models (LLMs) is leveraged to generate SQL queries by understanding the metadata of structured databases. The generated SQL queries match the dialect of the database, including its version and package, and are validated and tested for accuracy.

Efficient Multi-Access Point Queue Status Collection, Malcolm Smith, Brian Hart

Defensive Publications Series

The evolving Institute of Electrical and Electronics Engineers (IEEE) 802.11bn amendment (and subsequent amendments thereof) to the 802.11 standards is anticipated to define a multi-access point coordination (MAPC) spatial reuse (SR) mechanism that can be utilized between access points (APs) for opportunistic transmit opportunity (TXOP) operations in which each shared TXOP is expected to begin with an over-the-air (OTA) exchange of queue statistics for each Basic Service Set (BSS) (e.g., statistics per Traffic Identifier (TID)) between a leader AP and follower APs in a coordination group (CG). Such queue statistics are often referred to as an AP Queue Report (AQRP). …

Techniques To Facilitate Multi-Access Point Coordination (Mapc) In An Wireless Local Area Network (Wlan) Environment, Malcolm Smith, Brian Hart

Defensive Publications Series

Standards organizations involved in the development of next generation wireless local area network (WLAN) standards, such as the Institute of Electrical and Electronics Engineers (IEEE) 802.11 and 802.11bn standards, and amendments thereof, are discussing the possibility of WLAN operation involving a shared transmit opportunity (TXOP) under multi-access point (AP) coordination (MAPC) control in which a leader AP can initiate each of a TXOP with a follower-to-leader information exchange and then a notional multi-AP trigger frame. Current proposals for such operation do not define contents of the trigger for the range of MAPC mechanisms, such as spatial re-use, Time-Division Multiple Access …

Counterparty Awareness User Behavior Extraction Framework, Can Liu, Yong Zhao, Hao Xu, Shubham Agrawal, Chiranjeet Chetia

Defensive Publications Series

When investigating an abnormal user account behavior, identification of behavior information of historical counterparties associated with the user account may be very significant. The present disclosure addresses this requirement by providing an AI-based framework that extracts and incorporates historical counterparty behavior for accurate prediction and estimation of current user behavior. The present disclosure provides an end-to-end framework that captures historical counterparty behaviors in financial transactions. The present disclosure provides an efficient data sampling technique for framework training. The present disclosure provides a training strategy for efficiently training the framework.

Providing Wireless Environment Power Savings Based On Predictive Usage Trends And Real-Time Data, Rajesh Tarakkad Venkateswaran, Vishwas Rajashekar, Veena Ramamoorthy, Gurukiran S.D

Defensive Publications Series

Techniques are presented herein that support power savings in an enterprise wireless network through the reconfiguring of such a network’s access points (APs) to use the least amount power needed to ensure that service-level agreements (SLAs) are met for predicted levels of network usage. Aspects of the techniques employ calendar-based power profiles that are available on wireless controllers to power down parts of an AP or downgrade an AP’s uplink speeds to achieve the described power savings. Further aspects of the techniques make possible such actions through a (e.g., 14 day) rolling model of network usage that is developed through …

Explain Fraud Detection Method And System Via Fraud Graph And Features Similarity Based Knn Few-Shot Example-Prompts, Yong Zhao, Can Liu, Shubham Agrawal, Chiranjeet Chetia

Defensive Publications Series

The present disclosure discloses the explain fraud detection method and system via fraud graph and features similarity based kNN few-shot example-prompts (EPs). In the present disclosure, a transaction is initiated by the transaction cards and the transaction data is received by a feature engineering module (203), which extracts meaningful information from the transaction data. The data extracted by the feature engineering module (203) is then received by the deployed module (300) that identifies whether the transaction is a fraudulent transaction, and according to the transaction fraud, example prompts (EPs) are generated. Said generated example prompts (EPs) are few-shot example prompts …

Artificial Reality Environment With Constrained Widget

Defensive Publications Series

Aspects of the present disclosure are directed to an artificial reality system that provides an artificial reality environment and a widget manager for a constrained widget. Implementations immerse a user in a three-dimensional artificial reality environment. The widget manager can display a two-dimensional widget with the artificial reality environment in response to input. The widget can be dynamically displayed in response to user head/gaze tracking or any other suitable user input. The widget can display information, such as system information, user information, messages, etc. The widget can be constrained to a limited set of functions. The constrained widget may consume …

The Application Of Zigbee Technology And Neural Network Algorithms In Street Light Control Systems

Defensive Publications Series

This paper introduces a street lamp control system based on zigbee technology and neural network algorithm. Street lamp control system consists of microcontrollers, sensors, displays, buttons, ZigBee, street lights. This paper mainly introduces the microcontroller as the core of the control street lamp, and uses various sensors and ZigBee to control the switch of the street lamp in different time, different weather and different road conditions to improve the energy saving of the street lamp. It also introduces how to use the neural network algorithm to realize the feasibility of the multi-function of the street lamp and the realization method. …

Ebola Distribution Prediction

Defensive Publications Series

Ebola virus disease (EVD) is a severe, fatal illness for human whose average fatality rate is around 50%. The current outbreak in West Africa is the largest and most complex one since the Ebola virus was first discovered in 1976.

In this outbreak, the most severely affected countries are Guinea, Sierra Leone and Liberia (as figure 1 shows). On the other hand, these three countries lack the necessary health and treatment systems to fight against Ebola. Thus, in this paper we only consider these three countries as our research objects.

Secure Zero-Touch Access Control For Iot Devices, Sudha Katgeri, Ana Montenegro, Amanda L Holst, Ishita Maheshkumar Thanki, David Hanes

Defensive Publications Series

Techniques are presented herein that allow Manufacturer Usage Description (MUD)-based access controls to be applied to an Internet of things (IoT) device before the device is powered on or before the device is connected to a network in some secure manner, thus addressing a weakness in existing IoT device security. Aspects of the presented techniques employ a secure radio-frequency identification (RFID) tag to protect against the actions of a bad actor (such as a bad actor replacing a legitimate RFID tag with a malicious tag or altering the Uniform Resource Identifier (URI) content that is emitted by a tag) that …

Freshness Score For Point Of Interest Data In Digital Maps Using Large Language Models, Subhasish Roy, Debabrat Kar

Defensive Publications Series

Outdated or inaccurate information about a business or other point of interest in a digital map can be problematic, as users may waste time looking for a business that has closed or that is not open at the time of a user’s visit. This disclosure describes the use of a large language model (LLM) to determine attribute values for a business based on authoritative online sources. The attribute values are compared to the information about the business stored on the digital map to determine a freshness score. In some implementations, a smaller student model may be trained from a LLM …

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 …

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 …

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, …

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

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

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 …

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

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 …

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

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

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

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 …