Abstract:
Embodiments of the subject matter described herein relate to generating a decision tree based on data pre-statistics. A plurality of data samples for a node of the decision tree are obtained, and the plurality of data samples have corresponding feature values with respect to a first feature. A target range is determined from a plurality of predefined numerical ranges so that the number of feature values falling into the target range is greater than a predetermined threshold number. Then, the remaining of the feature values other than the feature values falling into the target range are assigned to the respective numerical ranges, and the feature values falling into all the numerical ranges are counted based on the assignment of the remaining of the feature values, for allocation of the plurality of data samples to child nodes of the node. Accordingly, the data processing efficiency is substantially improved.
Abstract:
The present invention provides a method for comprehensive monitoring, analysis and maintenance of water and equipment in swimming pools said method implemented by one or more processing devices operatively coupled to a non- transitory storage device, on which are stored modules of instruction code that when executed cause the one or more processing devices to perform: - acquiring continuous data from acoustic sensors; - propagating said data to an online remote server, - applying machine learning algorithms at the online remote server configured to incorporate the acquired data and provide recommendations and control parameters, and - providing an online interface to access said recommendations for at least one of: pool owners, pool servicemen, pool maintenance companies, pool vendors and pool retail dealers, wherein applying said machine learning algorithms comprising applying an acoustic model trained to learn the behavior of said data acquired from said acoustic sensors and to identify at least one of a device failure, location of a failure, type of failure, and the mutual effect between/among devices/instruments undergoing failures and other devices/instruments in said pool system.
Abstract:
Systems and methods for automating data science machine learning using analytical workflows are disclosed that provide for user interaction and iterative analysis including automated suggestions based on at least one analysis of a dataset.
Abstract:
This document presents a system to identify patterns of life assocated with the users of radio frequency emitting devices radiating within a monitored volume. These recurring commonalities in human activity can be derived from collected data and subsequent analytics that provide intelligence about those emitters and associated humans present within the monitored volume. The Freya system provides unique identifiers for detected emitters; insights into the current network relationships between emitters, past and current; human relational networks within the monitored volume; and can identify previous emitter locations prior to detection by the Freya system. These patterns of life provide a foundation for predicting interactions between humans associated with emitters active on the Internet of Things (IoT). This capability provides enhanced security capabilities as required by authorities for sensitive venues and events.
Abstract:
Target characteristic data may be predicted using an apparatus including a processor and one or more computer readable mediums collectively including instructions. When executed by the processor, the instructions cause the processor to obtain a plurality of physical structure data and a plurality of characteristic data, estimate at least one structural similarity between at least two physical structures that correspond with physical structure data among the plurality of physical structure data, and generate an estimation model for estimating a target characteristic data from a target physical structure data by using at least one characteristic data and corresponding at least one structural similarity between the target physical structure data and each of the plurality of the physical structure data.
Abstract:
A method and apparatus are provided for analyzing conversational statements and providing feedback in real-time. Audio stream data is recorded by a communication device and converted into a logical analysis format representation. Logical analysis is performed automatically on the logical analysis format representation of the natural-language statement. The logical analysis identifies one or more candidate output resolutions and identifies supplemental data that can confirm the one or more candidate output resolutions. The identified supplemental data is accessed and the one or more candidate output resolutions are evaluated based at least in part on the supplemental data. A feedback message is generated and displayed on the mobile communication device. The feedback message is indicative of the evaluation of the one or more candidate output resolutions and may provide a recommended follow-up question to be asked by the user of the communication device in the current conversation.
Abstract:
According to one aspect, embodiments herein provide a visual monitoring system for a load panel comprising a first camera having a field of view and configured to be mounted on a surface of the load panel at a first camera position such that a first electrical component of the load panel is in the field of view of the first camera and to generate image based information corresponding to the first electrical component, and a server in communication with the first camera and configured to receive the image based information corresponding to the first electrical component from the first camera and to provide the image based information from the first camera to a user via a user interface.
Abstract:
Described herein are embodiments of a content management system for private knowledge repositories. The system comprises a content management module for carrying out: a method of content creation to create a unit of content; a method of content association to associate an image with the unit of content; a search function to retrieve search results including the unit of content and the associated image; and a search function to retrieve search results constrained to a user's network in a private social network. The search functions thus provide social network-defined image-based content retrieval.
Abstract:
Methods, devices, systems, and computer readable media with instructions for group text communications between multiple devices, along with communication of associated data and automatic deletion of communications, are described. One embodiment involves generating a first ephemeral group chat, receiving a first ephemeral chat message, associated with one or more deletion triggers, and transmitting the first ephemeral message; and receiving, from at least the second client device, chat monitoring information comprising first deletion trigger information. In various embodiments, coordinated presentation and deletion of ephemeral chat messages are managed in a variety of ways.
Abstract:
The present disclosure relates to devices and methods relating to an optimized electronic transaction card where various data inputs associated with a dynamic transaction card optimize operational configurations and/or a user experience of the dynamic transaction card to extend an energy storage life of the dynamic transaction card, promote various behaviors, and/or detect system and/or device defects. A dynamic transaction card may include a dynamic transaction card with various configuration and/or functionality that use the power components (e.g., printed circuit board (PCB), energy storage component, battery, and/or the like) of the dynamic transaction card. The configuration and/or functionality data may include, for example, sensor input, connection data, transaction data, display data, and/or the like. The configuration and/or functionality data may then be used to determine optimal configuration settings.