Abstract: The present disclosure relates to a system, a method, and a product for using deep learning models to quantify and/or improve trust in conversations. The system includes a non-transitory memory storing instructions executable to construct a deep-learning network to quantify trust scores; and a processor in communication with the non-transitory memory. The processor executes the instructions to cause the system to: obtain a trust score for each voice sample in a plurality of audio samples, generate a predicated trust score by the deep-learning network based on each voice sample in the plurality of audio samples, wherein the deep-learning network comprises a plurality of branches and an aggregation network configured to aggregate results from the plurality of branches, and train the deep-learning network based on the predicated trust score and the trust score for each voice sample to obtain a training result.

Abstract: A disclosed example includes accessing computer-generated impression records, the computer-generated impression records based on network communications received at a server of a database proprietor from client devices, the computer-generated impression records indicative of accesses to media at the client devices; accessing self-reported demographic data and behavioral data from a database of the database proprietor, the self-reported demographic data and the behavioral data corresponding to user accounts registered with the database proprietor and associated with the client devices; comparing the self-reported demographic data with a probability distribution of higher-accuracy demographic data; determining different adjustments for corresponding ones of self-reported demographics of the self-reported demographic data based on the comparison; adjusting the corresponding ones of the self-reported demographics based on corresponding ones of the different adjustments to generate adjusted user demographic data; a

Abstract: Methods and systems for dynamic IP categorization include receiving electronic requests to access an electronic server; logging a first set of requests occurring during a first period of time and originating from an IP address belonging to a set of IP addresses; assigning the set of IP addresses to a first category according to the first set of requests; logging a second set of requests occurring during a second period of time and originating from the first IP address or a second IP address belonging to the set of IP addresses; determining a second category according to the second set of requests; assigning the set of IP addresses to the second category when the first category and the second category differ; and providing a response to a requesting IP address based on the category associated with the set of IP addresses to which the requesting IP address belongs.

Abstract: Systems and methods are disclosed that are directed to improving the prioritization, display, and viewing of system alerts through the use of machine learning techniques to group the alerts and further to prioritize the groupings. Additionally, a graphical user interface is generated that illustrates the prioritized listing of the plurality of groupings. Thus, a system administrator or other user receives an improved experience as the number of notifications provided to the system administrator are reduced due to the grouping of individual alerts into related groupings and further due to the prioritization of the groupings. Previously, or in current technology, system alerts may be automatically generated and provided immediately to a system administrator. In some instances, any advantage of detecting system errors or system monitoring provided by the alerts is negated by the vast number of alerts and provision of minimally important alerts in a manner that concealed more important alerts.

Abstract: A smart circuit breaker may provide a smart-circuit-breaker power monitoring signal that includes information about power consumption of devices connected to the smart circuit breaker. The smart-circuit-breaker power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart circuit breaker, (ii) identify devices receiving power from the smart circuit breaker, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

Abstract: Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed.

Abstract: Disclosed is a method, system, and non-transitory computer-readable record medium for providing a multi-model through federated learning using personalization. The method includes classifying users into a plurality of groups; and generating a prediction model for a service as a multi-model through federated learning for each of the plurality of groups.

Abstract: An example system disclosed herein includes programmable circuitry to identify donor adjustment factors and recipient adjustment factors used for correction of media impressions logged by a database proprietor, the donor adjustment factors including first donor adjustment factors associated with a first geographic region and second donor adjustment factors associated with a second geographic region, determine a first reduced donor factor set corresponding to ones of the first donor adjustment factors that satisfy a threshold, determine a second reduced donor factor set corresponding to ones of the second donor adjustment factors that satisfy the threshold, and generate imputation factors based on an aggregation of retained ones of the donor adjustment factors, the retained ones of the donor adjustment factors selected based on the first reduced donor factor set and the second reduced donor factor set, the imputation factors to reduce error in the correction.

Abstract: A method for simulating a social media account history may be provided. The method may include generating social media identification information (“social media ID”). The method may also include creating an account history for the social media ID with respect to a pre-determined entity. The creating may include identifying the social media ID with respect to at least one of a time-stamped indication of affinity for the predetermined entity. The creating may also include tagging of a photograph of the entity. The creating may also include linking of a photograph of the pre-determined entity. The creating may also include a threshold amount of streaming audio time relating to the predetermined entity. The method may also include querying the account history to determine whether the account history includes one or more parameters that indicate whether the social media ID information is related to an automated entity or a human entity.

Abstract: The present disclosure provides for a system for evaluating technology offerings of one or more companies. A database includes a plurality of available technologies associated with one or more tags categorizing the available technology. A user interface receives user input specifying one or more technology parameters. A correlation engine returns one or more available technologies from the database based on a correlation between the one or more received technology parameters and the one or more tags associated with the one or more available technologies. A landscape engine groups the one or more available technologies based on tags and generates an interactive technology opportunity map for display on the user interface.

Abstract: An approach for creating avatars of team members on a project team. The approach retrieves data associated with team members of a project team. The approach creates avatars of the team members based on the data. The approach displays the avatars to the team members, requesting permission to from the team members to use the avatars to represent the team members. With permission, the approach creates a plurality of avatars of different dimensions to use on different platforms. The approach displays the avatars during online team meetings as a representation of the respective team member.

Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

Abstract: Software user interfaces, methods, and systems provide highly interactive survey questions on mobile internet devices. The software user interfaces are uniquely designed to provide the intensive use of rich media in questions and answers that are delivered on small screens of mobile internet devices, to incorporate unique modes of interaction, and to integrate the array of inputs that are now ubiquitous in such devices into novel response mechanisms. The associated methods and systems provide efficient gathering of response data pertaining to conscious and pre-conscious thoughts, including impulses, feelings, perceptions, sentiments, associations, and emotions. The associated methods and systems gather and aggregate the response data into databases and create derived metrics, interpretive frameworks, and predictive frameworks from this data.

Abstract: A system and method is provided for generating new product offerings for display in which products are decoupled into components and the components are weighted based on user-specific preferences and market trends. The weighted components are then recompiled into new product offerings based on a probabilistic selection. Each component may be associated with related or otherwise applicable components and these associated components may also be incorporated into a new product offering for display during the probabilistic selection process. The selection and display process may also be tailored to specific users by adjusting weights based on preferences of those specific users.

Abstract: This disclosure describes a market segment analysis (MSA) system that facilitates a cluster analysis of market segment data and performance metrics to identify data patterns between individual market segments within a designated market region. Particularly, the MSA system may quantify current performance of existing vendor product or service offerings within a market segment relative to historical performance of the vendor product or service offering within the market segment. Further, the MSA system may quantify current performance of a vendor product or service offering relative to current peer performance of the same or substantially similar vendor product or service offerings within additional market segments. The MSA system may recommend one or more additional market segments for an offering of the vendor product or service. Alternatively, or additionally, the MSA system may recommend one or more vendor product or service offering(s) for a target market segment of a designated market region.

Abstract: A method for providing an offer to a potential recipient is provided. The method includes obtaining first information, such as demographic information and/or shopping history information, that relates to the potential recipient; assigning a respective value to each of a plurality of first parameters based on the first information; assigning a respective value to each of a plurality of second parameters based on second information that relates to the offer; determining a composite score based on the assigned first parameter values and the assigned second parameter values; and determining, based on the composite score, whether to provide the offer to the potential recipient.

Abstract: A culture is defined that spans multiple retailers. Transaction data from the multiple retailers are processed to map barcoded item codes to a culture item vector space. Any non-barcoded item for a given retailer associated with the culture is linked to a most similar barcoded item of that retailer based on a retailer-specific item vector space. The distances between the mapped barcoded item codes of the culture item vector space are processed to cluster the barcoded item codes into classifications within the culture vector space. Each retailers non-barcoded items are associated to the classifications of the culture item vector space based on their linkages to the retailers' specific barcoded items, which are already mapped within the culture item vector space. Each item code of a given retailer's item catalogue is linked to its corresponding classification.

Abstract: Personalized electronic content is generated for display on a user computer. The content is generated by first matching a targeted user online identifier to one of a plurality of user online identifiers associated with a master ID in a database. Using online user behavior associated with the user online identifiers of the master ID, a preliminary set of personalized electronic content is generated. A set of content usage parameters is applied to the preliminary set of personalized electronic content to define the personalized electronic content, which is then transmitted and displayed on a user computer. The personalized electronic content may comprise targeted advertisement utilized to populate a webpage or an email template defined by an online marketing campaign.

Abstract: Systems and methods are provided for receiving a set of feature vectors. Each feature vector in the set may comprise feature values for a plurality of features associated with network communications. A first score for a first subset of the feature vectors that have at least one common feature value for a first feature of the plurality of features may be determined. A second score for a second subset of the feature vectors may be determined. The second subset may comprise the first subset and other feature vectors that have a different feature value for the first feature. Based on a change between the first score and the second score, whether to group the common feature value and the different feature value together may be determined.

Abstract: A sample ratio mismatch (SRM) analyzer receives data from an online controlled experiment (OCE) and provides information to help determine a root cause of an SRM. The SRM analyzer may identify one or more segments in the data that include an SRM and may determine whether a triggered scorecard of the OCE includes an SRM. The data may include one or more scorecards. The SRM analyzer may determine whether each scorecard has an SRM. The SRM analyzer may test a difference in proportion of users assigned to treatment between a last scorecard without an SRM and a first scorecard with an SRM. If the difference in proportion is statistically meaningful, the SRM analyzer may determine that the SRM arose after the last scorecard. If the difference in proportions is not statistically meaningful, the SRM analyzer may determine that the SRM existed from a beginning of the OCE.

Abstract: Social network postings, including text, images or other media, may provide valuable information regarding a user of the social network with which the postings may be associated. With the authorization of the user, and upon authentication by the social network, an online marketplace may access the social network postings and extract data therefrom, and market one or more recommended items to the user based on the extracted data, which may include color pallets or texture pallets derived from photographs included in the postings.

Abstract: An exemplary system, method, and computer-accessible medium for providing a financial account recommendation to person(s) can include receiving a transaction history for the person(s) associated with a first financial account, determining first rewards information based on the transaction history, accessing database(s) containing rewards rates for a plurality of second financial accounts, determining second rewards information for a particular second financial account of the plurality of second financial accounts based on the transaction history, and providing the financial account recommendation to the person(s) to one of (i) keep the first financial account or (ii) switch to the second financial account based on a comparison of the first rewards information to the second rewards information.

Abstract: A cognitive learning method comprising: monitoring a user interaction of an anonymous user; generating user interaction data based upon the user interaction; receiving data from a plurality of data sources; processing the user interaction data and the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating a cognitive learning result based upon the user interaction data; and, associating an anonymous cognitive profile with the anonymous user based the cognitive learning result.

Abstract: A method for identifying, contracting, evaluating, bounding, and filtering out uncertainty in survey data is provided. The method includes: receiving survey responses with respect to a customer survey; constructing a simulated numerical model that replicates the structure of the original survey by using responses that are generated randomly from distribution of responses with constraint variability that specifically account for the uncertainty that arises from the subjective nature of sampling response from an ordinal range of possible options; matching between the original survey and the numerical model using a machine learning algorithm; and evaluating and filtering out the uncertainty of the original survey. In addition, a method is offered to constrain and contract the uncertainty by assigning survey responses to corresponding evenly distributed bins and by calibrating the survey responses by attaching a short textual description to each of the ordinal values in the original survey.

Abstract: Example methods, apparatus, and articles of manufacture for media metering are disclosed. An example apparatus disclosed herein includes at least one memory, instructions in the apparatus, and at least one processor installed in a media presentation device to execute the instructions to at least: cause a video decoder to generate video display rasterizing information, present the video display rasterizing information via an output device of the media presentation device, and in response to monitoring being enabled, generate metering information corresponding to media presented in association with the video display rasterizing information presented via the output device.

Abstract: A device may receive customer data associated with customers of items, and may identify customer characteristics based on the customer data. The device may process the customer characteristics, with a first model, to group the customers into groups of customers, and may process item data and data identifying the groups of customers, with a second model, to determine associations between the item data and the groups of customers. The device may receive, from a user device associated with a particular customer, particular customer data, and may identify particular customer characteristics based on the particular customer data. The device may assign the particular customer to a particular group, of the groups of customers, based on the particular customer characteristics, and may generate an item recommendation, for the particular customer, based on the item data associated with the particular group. The device may provide the item recommendation to the user device.

Abstract: A smart circuit breaker may provide a smart-circuit-breaker power monitoring signal that includes information about power consumption of devices connected to the smart circuit breaker. The smart-circuit-breaker power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart circuit breaker, (ii) identify devices receiving power from the smart circuit breaker, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

Abstract: A system and method in accordance with example embodiments may include providing functionality triggers to a consumer's mobile device in response to using a payment card in order to make a purchase. Functionality triggers may include account functionality, rewards functionality, social networking functionality, and offer or advertisement functionality to be performed on a consumer's mobile device.

Abstract: A computer-implemented method for providing presentable transaction data of a product to a user may include obtaining preliminary transaction data of one or more purchasers other than the user; generating itemized transaction data based on the preliminary transaction data; obtaining one or more translation codes from one or more transaction entities; generating standardized transaction data based on the itemized transaction data and the one or more translation codes; retrieving identification data from the standardized transaction data; generating anonymized transaction data based on the standardized transaction data by withholding the identification data; generating presentable transaction data based on the anonymized transaction data; and transmitting, to a device associated with the user, the presentable transaction data.

Abstract: Methods and systems for starting a node without a default password are provided. Exemplary methods include: creating a node responsive to indicia received from a user; checking for an existing keystore in the node; when no existing keystore is in the node: generating a seed password for a predefined user of the node; non-persistently providing the seed password to the user; creating an encrypted keystore in the node; and storing the seed password in the encrypted keystore; and allowing access to the node using the built-in user and seed password.

Abstract: A device may be configured to monitor operations of at least one application installed on the device. The device may include a processor and a non-transitory memory. When executed by the processor, an application stored in the memory may cause the processor to perform a plurality of operations. A beacon may be embedded in the application. When the application is executed by the processor, the beacon may cause the processor to establish a direct connection with a remote system comprising a storage database, gather data indicative of at least one of the plurality of operations as specified by at least one beacon microservice, and send the data through the direct connection to store the data in the storage database.

Abstract: An example apparatus disclosed herein includes a data input interface to access different sets of initial adjustment factors, the initial adjustment factors generated to correct at least one of misattribution or non-coverage of media impressions logged by a database proprietor, a grouping controller to identify a first set of the initial adjustment factors as a set of donor adjustment factors based on (a) first audience members associated with the set of donor adjustment factors satisfying a first threshold and (b) first impressions associated with the first audience members satisfying a second threshold, and identify a second set of the initial adjustment factors as a set of recipient adjustment factors, and an imputation factor generator to generate imputation factors to correct ones of the recipient adjustment factors based on ones of the donor adjustment factors.

Abstract: An equipment introduction effect analyzer as an information processing apparatus includes: an equipment-related information storage unit that holds equipment data including information on equipment and information on a function and performance included in equipment, and equipment buyer data including information on an effect obtained when an equipment buyer introduces equipment, information on a use environment of the equipment, and information on the purchased equipment; and an evaluation engine unit that generates information on an effect to be provided to a potential equipment buyer based on the information on the effect and the information on the use environment of equipment that are included in the equipment buyer data, and on the basis of information on an environment in which the potential equipment buyer uses the equipment, the equipment buyer data being acquired from the equipment buyer already purchased equipment with a function and performance desired by the potential equipment buyer.

Abstract: A system and method for dynamically obtaining and evaluating information to optimize the generation of vehicle suggestions for a customer. A profile based on an initial set of information received from a user is created. Metrics are generated based on the profile information. Upon receiving a vehicle request, the profile and the request are analyzed in view of available vehicles. A customer's response to the vehicle suggestion list, as well as events triggered by a perceived need for additional information result in the dynamic adjustment of the profile and thus, the generated metrics.

Abstract: Disclosed are various approaches for dynamically creating content to present to a user based on an identified intent, or other context, associated with a message (e.g., email). A message that is received from a message server can be analyzed to identify the message content within the message prior to distributing to the recipient client device. Trained intent identification models can be applied to the identified message content to determine an intent, or other type of context, associated with the message. Upon identifying the intent, the message header can be modified to include the intent prior to forwarding the message to the recipient client device. The client device can then display a user interface including the message and a user interface element corresponding to a third-party service. The user interface element can be dynamically generated to include an action component that upon selection, triggers an action associated with the intent.

Abstract: Systems, methods, and apparatus are provided for integrating access to third-party data using DNA computing. Requests for third-party data may be received from a plurality of applications. The request structure may be tagged with an NFT, linking the request to the originating application. DNA strands may be synthesized from the request structures and clustered based on the encoded attributes. A DNA cluster may be converted to digital data to generate an integrated request structure. Machine learning models may generate an extraction schedule using update information for each third-party vendor. A bot array may apply license credentials to access the vendors and execute an integrated request. An integrated response structure generated from extracted subscription data may be mapped back to the DNA strands. The DNA strands may be decoded to identify the original requests and responses may be transmitted to the originating applications using the NFT linkage associated with the requests.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining historical data of demand response programs and demand response agreements respective to each of the users regarding a subject energy. Training dataset for a DR user pooling model includes attributes of the demand response data collected that are relevant to responsivities of the demand response programs. The DR user pooling model is trained by the training dataset by machine learning. A DR user pool is identified amongst users of the demand response program by the DR user pooling model. Users in the DR user pool respond to demands as a group and the DR user pool is adjusted to improve responsivities of the demand response programs.

Abstract: A system and method for providing real estate spatial analysis through a user interface which allows the user to visualize the analysis through maps. A businesses are identified within each of a number of incremental areas of an overall map area. Corresponding land use types are identified for the incremental areas. A predominant land use type is identified for each incremental area. A land use map is generated with colors the respective incremental area using a predetermined color assigned to the predominant land use type for the respective incremental area.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a neural network that is configured to receive a network input and to generate a network output for the network input. The neural network comprises a plurality of layers arranged in a sequence, including a plurality of capsule layers. Each particular capsule in a particular capsule layer is configured to receive respective inputs including: (i) outputs generated by capsules of a previous capsule layer that is before the particular capsule layer in the sequence, and (ii) final routing factors between capsules of the previous capsule layer and the particular capsule, wherein the final routing factors are generated by a routing subsystem. Each particular capsule in the particular capsule layer is configured to determine a particular capsule output based on the received inputs, wherein the particular capsule output is of dimension greater than one.

Abstract: Novel tools and techniques for an IoT shell are provided. A system includes an internet of things (IoT) device, a database, and a license manager. The database may include one or more sets of authorized licenses, each set of authorized licenses associated with a respective vendor software. The license manager may be in communication with the IoT device and the database, and further include a processor and a non-transitory computer readable medium comprising instructions executable by the processor. The license manager may be configured to receive a request to reserve a license for a first vendor software, determine an availability of the license associated with the first vendor software, register a unique identifier of the IoT device in association with the license, and grant the license to the IoT device.

Abstract: A computing system for encouraging the performance of a task comprises association data, a proxy module, a display module, and a reward module. The association data associates tags with stimuli related to performing tasks. The proxy module is configured to receive encoded data, to identify tags in the encoded data that have associated stimuli in the association data, and to generate modified encoded data that includes data representative of at least one of the stimuli. The display module is configured to receive the modified encoded data, to display information based at least in part on the modified encoded data, and to provide at least one mechanism for a user to perform a task related to at least one of the stimuli. The reward module is configured to reward a user for performing tasks related to the stimuli.

Abstract: Systems and methods are provided for receiving a request for forecasting data to use for new product introduction, the request comprising an indication of a plurality of existing products and accessing data for a plurality of existing curves corresponding to the plurality of existing products. The systems and methods further provide for, based on determining that at least a subset of curves of the plurality of curves comprises a plurality of values, analyzing each value of the plurality of values for each curve of the subset of curves to determine a maximum number of values among all of the curves of the subset of curves, generating a text file comprising a maximum number of value columns corresponding to the maximum number of values, and populating the text file with the data for the plurality of existing curves, including the plurality of values for each curve of the subset of curves.

Abstract: Systems and methods are disclosed for determining segments of online users from a correlated dataset. One method includes receiving, over a network, a plurality of datasets including user-related data of a plurality of users, each dataset being transmitted from a data owner; correlating, by at least one processor, the plurality of datasets into a correlated dataset; receiving a segmentation request for determining a plurality of users that qualify for a segment, the segmentation request including a set of segment rules to apply to the correlated dataset; determining, by accessing the correlated dataset, whether each user of the plurality of users qualifies for the segment based on the segment rule; and storing an indication of the segment in the correlated dataset for each user determined to qualify for the segment.

Abstract: A method for managing and providing compensation between devices in order to encourage positive behavior is disclosed. The system is operable to receive a request for providing compensation to a user account and is further operable to fulfil the request, track the compensation transfer, and provide historical data of the transfer based on geographic location. The geographic locations preferably include multiple tiers of permissions that are managed by multiple governing entities.

Abstract: Techniques for enhancing usability and electronic resource efficiency using job relevance are disclosed herein. In some embodiments, a list of a predetermined number of top job openings for a member of the social networking system is generated. The list is communicated to a device of the user for presentation in a user interface on the device. The user interface allows the member to browse through and provide an indication of a lack of relevancy of each of the list of the predetermined number of top job openings to the member and an indication of a reason for the lack of relevancy. Based on the user providing the indication of the lack of relevancy and the reason, a modified relevancy assessment of each of the plurality of job openings is generated. The list of the predetermined number of top job openings for the member is regenerated and communicated to the device.

Abstract: Technology is disclosed for facilitating and processing cross-merchant promotions. In examples, the disclosed technology comprises processing transaction data for a first merchant and a second merchant that includes identifiers for merchant, customer, location, and item; generating a recommendation for the merchants to participate in a cross-merchant promotion based on a determination that they are complementary; facilitating a notification of the promotion to customers; receiving transaction data for another transaction of the first merchant; applying the promotion to the transaction based on a customer transaction history of the customer; processing payment for the transaction; apportioning the payment to the first and second merchant according to an agreement between them; and presenting a notification of application of the promotion on a merchant device.

Abstract: An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

Abstract: Introduced here are communication optimization platforms configured to improve comprehension, persuasion, or clarity of communications. Initially, a communication optimization platform can acquire input sample(s) that are associated with a source audience. The communication optimization platform can then create a linguistic profile for the source audience by examining the content of the input sample(s). Additionally or alternatively, the communication optimization platform may produce a psychographic profile that specifies various characteristics of the source audience, such as personality, opinions, attitudes, interests, etc. The communication optimization platform can then generate, based on the linguistic profile and/or the psychographic profile, affinity language for communicating with a target audience. By incorporating the affinity language into communications, the communication optimization platform can increase appeal to the target audience.

Abstract: An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

Abstract: An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.