Abstract: Various systems, mediums, and methods herein describe aspects of personal information platforms accessible with client devices over communication networks in data infrastructures. A system may determine data associated with a user. The system may determine a personal information platform (PIP) based on the data associated with the user, where the PIP is configured to identify a number of data types from the data associated with the user. The system may determine accesses for one or more entities to the number of data types based on one or more services provided by the one or more entities to the user. The system may cause a client device to display an indication of the PIP, where the indication provides the one or more accesses of the one or more entities.

Abstract: A computer-implemented method for using machine learning to handle data in a computing system with improved efficiency can include obtaining a handling request associated with a data item, the handling request instructing the computing system to perform a handling operation with the data item, obtaining a trace log comprising one or more distributed trace items, the one or more distributed trace items including data from each of one or more services interacting with the data item, providing the trace log to a data characteristic prediction model including one or more machine-learned models, receiving, in response to providing the trace log to the data characteristic prediction model, one or more data characteristic predictions associated with the data item, and selecting a handling operation of a plurality of candidate handling operations based at least in part on the one or more data characteristic predictions.

Abstract: An information processing device includes a storage medium that stores computer-readable instructions, and a processor connected to the storage medium, in which the processor executes the computer-readable instructions to acquire virtual experience information indicating that a user has been provided with a virtual travel service to experience a virtual travel, and purchase information indicating that the user has purchased a right to receive a real travel service to experience a real travel, in a case where the virtual experience information and the purchase information are acquired, generate grant information for granting an incentive for the user to purchase the right to a provider of the virtual travel service or a provider providing an apparatus used for the virtual travel service, and output the grant information.

Abstract: A method and system for controlling the transfer of electrical power between a first electrical network and a second electrical network is disclosed. The method includes receiving at the second electrical network pricing information from the first electrical network, the pricing information associated with the supply of electrical power between the first electrical network and the second electrical network and modifying a demand characteristic of the second electrical network based on the pricing information.

Abstract: A system and method are including a computer and a processor and memory. The computer receives a product class representing a product in a supply chain network including one or more supply chain entities and generates one or more new products for the product class using one or more automatically generated templates including a graphical representation of an exemplary product using a first smart product attribute value, the first smart product attribute value defined by a quantifiable measurement of a product attribute. The computer further causes items to be transported among the one or more supply chain entities to restock the inventory of the one or more items of the product class according to the current state of items in the supply chain network and the one or more new products.

Abstract: A method includes receiving, by a computing device, acceleration information from an acceleration sensor attached to a product; receiving, by the computing device, from an image capture device an image of a prospective purchaser of the product; determining, by the computing device, a movement of the prospective purchaser based on the acceleration information and the image, the movement being in relation to a movement of the product; and sending, by the computing device, display information to a digital display, the display information including information related to the product. The movement of the product is based on the acceleration information.

Abstract: Computer systems and methods generate data examples by training, through machine learning, a data generator with a training objective to produce a data example for a specific value of R, where R is value related to S1(x) and S2(x), where, for a data example, x, generated by the data generator, S1(x) is a likelihood that the data example x is in a first class of a first selected data example and S2(x) is a likelihood that the data example x is in a second class of a second selected data example. S1(x) and S2(x) are determined by a discriminator that is trained through machine learning to discriminate between the first and second classes. After training the data generator, the data generator generates a synthetic data example for each of multiple specific values of R.

Abstract: Data reduction services are implemented on one or more nodes of an IIoT data pipeline to intelligently determine an appropriate data reduction strategy based on characteristics of the incoming data. In one or more embodiments, data reduction components on the pipeline node or on an edge device define different data filtering rules or algorithms that are selectively applied to streaming time-series data based on a probability distribution of the data. The data pipeline node performs real-time distribution analysis on the streaming data to determine whether the data has a unimodal distribution, a multimodal distribution, or no mode, and selects one of the data filtering rules based on this determined probability distribution. In this way, the data is intelligently reduced in a manner that retains critical information within the reduced data set while achieving a high level of data reduction.

Abstract: An automated chat conversation platform and method of operation are described. The automated chat conversation platform includes extensible chat interfaces useable for chat session communication with a plurality of third party communication tools, and is designed to be automatically scalable according to a number of chat sessions in existence concurrently. The automated chat conversation platform identifies chat sessions in which user intervention may be important, and allows for selective intervention by user agents.

Abstract: Computer-implemented systems and methods, trained through machine learning, score a sentiment expressed in a document. Individual sentences are scored and then overall document sentiment score is computed based on scores of individual sentences. Sentence scores can be computed with machine learning models. Digital matrix generator can generate N×M matrix for each sentence, where the matrix comprises vectors of word embeddings for the individual words of the sentence. A classifier computes a sentence sentiment score for each sentence based on the digital matrix for the sentence. Sentence sentiment scores computed by classifier can be adjusted based on a fuzzy matching of a phrase(s) in the sentence to key phrases in a lexicon that are labeled with a sentiment relevant to the context.

Abstract: This disclosure is directed to an apparatus for intelligent matching of disparate input data received from disparate input data systems in a complex computing network for establishing targeted communication to a computing device associated with the intelligently matched disparate input data.

Abstract: Embodiments are directed to computer systems and methods that provide a data-driven approach to product benchmarking. The systems and methods identify a product being developed on a product development platform. The systems and methods repeatedly evaluate products similar in operation to the identified product. In response to the evaluation, the systems and methods automatically determine current performance capabilities of the similar products and digitize the determined current performance capabilities as current benchmark parameters in a central database integrated within the platform. The systems and methods generate output, by an application of the platform, based on searching the current benchmark parameters in the database, and develop functions and parts for the identified product using the generated output.

Abstract: A system, method, and computer-readable medium to extract information from at least one of code and text documentation, the extracted information conforming to a base ontology and being extracted in the context of a knowledge graph; add the extracted information to the knowledge graph; generate, in a mixed interaction with a user selectively in communication with the system, computational models including scientific knowledge; and persist, in a memory, a record of the generated computational models.

Abstract: In various embodiments, a mentor application automatically obtains assistance with software applications. The mentor application generates a computer-generated help request associated with a first user of a software application. Based on the computer-generated help request and a set of user contexts associated with a set of users, the mentor application computes match scores. Each match score predicts how suitable a particular user is for servicing the computer-generated help request. Based on the match scores, the mentor application transmits at least one help request notification to at least one user included in the set of users to determine a second user to service the computer-generated help request. The mentor application then establishes a computer connection between the first user and the second user through which an interactive help session between the first user and the second user is held.

Abstract: This disclosure describes techniques for optimizing operational performance of femtocell devices deployed within a telecommunications network. More particularly, a femtocell Optimization (FCO) system is described that monitors a performance state of femtocell devices within a telecommunications network, detects a change in performance state of a particular femtocell device, and preemptively deploys a first set of service resolution data to detect a service issue. In response to detecting a service issue, a second set of service resolution data is deployed to preemptively resolve the service issue.

Abstract: System, apparatuses, and methods can provide customized exercise sessions and customized videos corresponding to the exercise session. Audio clips can be dynamically selected to make custom audio content for an exercise session. The audio clips and metadata can be obtained, where the audio clips correspond to categories. The exercise session can include one or more components. A destination timeline for a component can include one or more first segments that require audio, and one or more second segments that can optionally have audio. Audio clips can be selected for the various segments, where a segment can be designated for a particular category of audio clips. Identification information for the selected audio clips can be saved and used to generate the custom audio content.

Abstract: There is provided a method of evaluating user churn in wireless networks. The method includes receiving data from a plurality of wireless electronic devices connected to and operating in a plurality wireless networks and/or network types, wherein the data has been collected for each wireless electronic device by wireless device software embedded in an application or memory of the respective wireless electronic device and configured to collect the data when the wireless electronic device accesses one or more of the plurality of wireless networks and/or network types, and wherein the data comprises one or more identifiers associated with the wireless electronic device or a user of the wireless electronic device.

Abstract: Systems, methods, and other embodiments associated with computing and generating schedule data structures for items in a display are described. In one embodiment, a method includes accessing a sales data structure corresponding to a store and analyzing sales records for items associated with subcategories to calculate a subcategory profit contribution score for each subcategory. The method may also include selecting a first subcategory from the subcategories as a candidate subcategory of items and analyzing the sales records to calculate an item profit contribution score for each of the items assigned to the candidate subcategory. A first item is selected from the candidate subcategory to be placed on a promotional display space, based upon the item profit contribution score of the first item. A schedule data structure is generated that assigns the first item to the promotional display space.

Abstract: A system may generate image data of users within a facility. Such users may be part of a group that is unknown to the system. The system can predict group data for two or more users based on a resemblance or the users being within a threshold distance of each other. However, if a confidence level associated with the predicted group data is below a threshold value, the group data is deemed unreliable and assistance from an associate is deemed necessary. A user interface that includes a portion of the image data, information about the predicted group data, and other interface elements is presented to the associate via a display. Based on the input data received from the associate, the group data can be confirmed or rejected. If the group data is confirmed, an association is made between the users and a group identifier.

Abstract: A method and system is provided for facilitating affiliate link generation using a web browser application. A publisher enables the system by identifying a webpage on an affiliate web site. The system performs an initial assessment of the page to extract webpage information, which is compared to information stored in a database. If the extracted information matches stored information, a record of the webpage is displayed and an affiliate link is dynamically generated for immediate use. If the extracted information does not match stored information, a new record of the webpage is created. If the webpage contains product-specific data, a product-specific record is stored. If the webpage does not contain product-specific data, a non-product record is stored. An affiliate link is then dynamically created. The new record of the product and dynamically created affiliate link is added to the database for immediate use.

Abstract: User data overlap determination in a digital medium environment is described. Initially, a user selects segments of user data for which a determination of overlap is to be made. For example, the user selects a segment representing users that are working professionals and a segment representing users that are mothers, such that working-mother users may correspond to the overlap. Regardless of the particular segments selected, an indication of those segments is received. One of multiple different overlap determining techniques—which can include a combined MinHash and HyperLogLog (HLL) technique and an Inclusion-Exclusion technique—may be selected for computing the overlap based on a number of segments indicated and numbers of users represented by the segments. The selected overlap determining technique is then used to compute the user data overlap between the indicated segments. Digital content including values indicative of the determined overlap is generated for presentation to a user.

Abstract: A system and method for providing offers to facilitate users to complete active game actions in a game space are disclosed. Offers to forego a group of pending wait periods of active game actions may be generated and presented to the users at the same time or near the same time along with offers to forego these pending wait periods individually and separately. In some examples, for incentivizing the users to accept the offer to forego the group of pending wait periods, a discount may be determined for these offers with respect to the offers to forego the group of pending wait periods individually and separately. In some examples, selection of the group of pending wait periods may be made based on likelihoods as to whether the users will spend stored consideration to forego the group of pending wait periods individually and separately.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a target distribution schedule for providing electronic communications based on predicted behavior rates by utilizing a genetic algorithm and one or more objective functions. For example, the disclosed systems can generate predicted behavior rates by training and utilizing one or more behavior prediction models. Based on the predicted behavior rates, the disclosed systems can further utilize a genetic algorithm to apply objective functions to generate one or more candidate distribution schedules. In accordance with the genetic algorithm, the disclosed systems can select a target distribution schedule for a particular user/client device. The disclosed systems can thus provide one or more electronic communications to individual users based on respective target distribution schedules.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying, by executing an instruction with a processor, in the return path data, first tuning data corresponding to a first group of set top boxes, the first group of set top boxes classified as associated with machine events, determining, by executing an instruction with a processor, a ratio between first tuning events in the return path data and second tuning events in the return path data, the first tuning events attributed to the first group of the set top boxes, the second tuning events attributed to a second group of the set top boxes classified at not associated with machine events, and in response to the ratio satisfying a threshold during a time interval, removing second tuning data associated with the time interval from the first tuning data.

Abstract: An autonomic method for the comprehensive profiling of near or real time representations of time sequenced, synchronized, characterized business activity by any entity within a group of commercially related subscribing business partners, for the purpose of creating a near or real time universal business activity mosaic. An autonomic method within a group of commercially interrelated businesses to utilize a universal business activity mosaic to render a virtual customer storefront, whereby a business may discretely witness in time and character the sale of its own assets and services either fully or partially comprising those sold to anybody of related intermediate or end customers for the purpose of purchasing, selling, financing, warehousing or physically transporting assets on demand.

Abstract: This disclosure relates generally to methods and systems for predicting wait time of queues at service area such as market places including retail stores and super markets. The present methods and systems accurately predicts the wait times of the plurality of queues by utilizing various visual cues of the customers, along with the number of service items and the efficiency of the service operator. The visual cues including a demographic factor such as age, gender, ethnicity of the customer and a senti-motional factor such as sentiments including positive attitude or negative attitude and emotions of the customers including happy state, sad state, and irritation state of the customer. The customers may choose the queue having least predicted wait time and may take informed decision hoping for faster check-out, based on the predicted wait times of the queues. Hence, customer experience and customer satisfaction may be achieved.

Abstract: A system can display content generated from one type of machine-generated data to a user via a graphical user interface. Based on an interaction with the machine-generated data, the system can determine an entity identifier associated with the machine-generated data and determine an entity type for the entity identifier. The system can map the entity type to one or more content generators associated with the entity type and communicate the entity identifier to the identified content generators. The content generators can determine if they have content associated with the machine-generated data. The system can generate and display a link to the related content via a graphical user interface.

Abstract: In each trial, brain electrical activity at multiple points of a target person is measured. An acquirer of a determination device acquires response matrices for n trials under a first condition and response matrices form trials under a second condition. An analyzer performs canonical correlation analysis on the acquired response matrices to obtain first canonical variable time series. A distance calculator calculates a distance between the trials from the obtained first canonical variable time series to obtain a distance matrix. A determiner obtains a possibility that the n trials and the m trials are classified into two different clusters from the distance matrix and determines whether the first condition and the second condition are substantially different. It is possible to provide to a single target person a first content in n trials and a second content in m trials so as to determine a difference in interest of the single target person.

Abstract: Computer-implemented systems and methods for determining the value of display space in a retail store are provided. These values of display space are determined based on measured traffic densities in the retail store. Traffic density is used as a metric for real-world customer activity and customer patterns in the retail store. To determine traffic density, measurements are obtained from one or more sensors in the retail store, where the measurements include spatial information pertaining to a region of the retail store. Traffic density can provide a quantitative, accurate and unbiased metric with which to determine a value associated with displaying products in a region of the retail store.

Abstract: A method for generating a material for a partial replacement includes receiving an image of a sample of an original material needing to be replaced, generating a representative data set for the original material based on the image received, accessing a reference database comprised of a plurality of different materials and including reference texture data or reference characteristic data for each of the plurality of different materials, comparing the representative data set to the reference data in the reference database, identifying at least one of the plurality of different materials correlated to the representative data set, determining the identified correlated material is not available, sending a request to generate a replacement material, and generating the replacement material.

Abstract: A neural network circuit is provided with which it is possible to significantly reduce the area occupied by the connection unit of a full connection (FC)-type neural network circuit. An analog-type neural network circuit constitute a learning apparatus having a self-learning function and corresponding to a brain function, wherein the neural network comprises: a plurality (n) of input-side neurons; a plurality (m, and including cases when n=m) of output-side neurons; (n×m) connection units each connecting one input-side neuron and one output-side neuron; and a self-learning control unit, the (n×m) connection units being constituted from connection units corresponding to only the positive weighting function as a brain function, and connection units corresponding to only the negative weighting function as the brain function.

Abstract: Techniques are described for training a learning machine. One of these methods includes tracking interactions between a customer and customer service agents. The method includes generating a training set based on the tracked interactions. The method also includes generating a trained learning machine comprising training a learning machine using the training set.

Abstract: A system and associated method may utilize a processor that receives recall product instance group (RPIG) information (RPIGI) identifying a set of instances of products having a product type identifier (PTI) that are a subject of a product recall. The processor receives, from an imaging device associated with a user, an image containing a product instance. The method further comprises applying a classifier and determining a PTI. Based on the image, secondary product information is also identified. These may be compared with the RPIGI to determine a product instance membership. Information related to the product instance membership in the RPIG may be displayed.

Abstract: Various systems and methods for providing a tool to entities that determines the optimal usage of data items are disclosed. For example, the tool can generate a model that uses various characteristics to predict how likely it is that a viewer will watch (or listen to) the media program being promoted. The model can then determine an increase in revenue that would result from the assignment of a media promo using the predicted likelihood and subtracting a known opportunity cost from this determined revenue increase to determine a net revenue value. The model can repeat this determination for any number of viewers and aggregate the determined net revenue values to generate an aggregated net revenue value. The tool may include a user interface in which a content provider can adjust various variables to see how adjusting one or more variables affects the aggregated net revenue value.

Abstract: An apparatus for implementing a computing system to predict preferences includes at least one processor device operatively coupled to a memory. The at least one processor device is configured to calculate a parameter relating to a density of a prior distribution at each sample of a set of samples associated with the prior distribution. The at least one parameter including a distance from each sample to at least one neighboring sample. The at least one processor device is further configured to estimate, for the plurality of samples, at least one differential entropy of at least one posterior distribution associated with at least one observation based on the parameter relating to the density of the prior distribution at each sample and the likelihood of observation for each sample. The estimation is performed without sampling the at least one posterior distribution to reduce consumption of resources of the computing system.

Abstract: A processor may receive user interaction data of a user for a plurality of electronically-presented offers. The processor may generate a plurality of labels, the generating comprising generating a label for each respective offer according to a comparison of the quality of the user interactions of the respective offer to the frequency of the user interactions of the respective offer. Each label may be a positive label or a negative label. The processor may determine whether the generating produced both positive and negative labels. The processor may select one of a plurality of available ML models, wherein a two-class ML model is chosen in response to determining that the generating produced both positive and negative labels and a one-class ML model is chosen in response to determining that the generating did not produce both positive and negative labels. The selected ML model may be trained and/or may be used to process user profile data and provide recommendations.

Abstract: Disclosed herein is a web user experience improvement for digital magazines. A digital magazine viewing platform is integrated with a digital magazine publishing platform including features that leverage the integration including user interface arrangement based on viewing habits and ripped content that is insertable into draft digital magazine documents. In some embodiments, a machine learning model categorizes magazine styles and present publishing features based on those magazines viewed or subscribed to by a given user.

Abstract: A collection configuration management system can be used to manage one or more monitoring objects, such as tags, included in one or more content objects. The collection configuration management system can compartmentalize monitoring object configurations into a monitoring object bundle that may be executed as a result of loading the one or more content objects. The monitoring object bundle can be generated to include one or more monitoring objects, as well as monitoring object management loader functionality.

Abstract: Systems and methods for data aggregation and processing are provided in manner that is decentralized and preserves privacy. A data aggregation and computation system may include an interface, a controller, and one or more clusters of computation nodes. The interface may receive an inquiry from a requesting entity for computing information regarding an individual based on pieces of information held by a plurality of entities. The controller may communicate an identifier for the individual to a processor system associated with each of the entities based on the inquiry. The clusters of computation nodes may each receive encrypted data fragments from each of the processor systems, the data fragments comprising unrecognizable fragments that no individual processor system can re-assemble to recover the information, perform secure, multi-party computations based on the data fragments, and generate a result based on the secure, multi-party computations for the individual.

Abstract: A system and a method to optimize values delivered by an enterprise, are described. An integrated system may receive data from multiple data sources that may be processed by engines and/models. The engines and/or models may execute operations or functions, such as data processing, analysis based on rules, automated learning, machine learning and transforming the data to create value graphs associated with processes, tasks, and/or services in the enterprise. The value graphs may be generated that may provision continuous monitoring and insights to measure of KPIs and other influencing factors that may be associated with the processes, and services in the enterprise. The integrated system may generate visualizations that may be rendered via user interfaces. Further based on the value graphs, stakeholders may be able to identify opportunities associated with processes, tasks, and/or services that may be actioned to drive employee engagement, and value of the enterprise.

Abstract: In some embodiments, a computer implemented method for determining and generating an electronic recommendation and/or other outputs, such as observations and tasks, in which the method may include the steps of receiving input from the user through a client device in which the input may include data for populating a key member or key player data record; identifying, via a computing device processor, a first rule corresponding to the key player data record; retrieving, via a computing device processor, a first observation in which the first observation is associated with the first rule; and displaying to the user, via a display screen of the client device, the first observation. In further embodiments of the method, an observation may be associated with a recommendation and the recommendation may include a pre-recorded video multimedia file specific for the observation.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for dynamically enabling customized web content and applications. One or more rules are stored in a database. Default tag code is transmitted to a browser in response to a request from the browser, the default tag code including data that causes the browser to generate a tag module. An update is received from the tag module comprising data indicative of a visitor's interaction with web page content displayed through the browser. A condition associated with a rule from the one or more rules is determined to be satisfied based on the update. An action associated with the rule is performed, comprising transmitting custom targeted tag code to the tag module, wherein the custom targeted tag code includes data that causes the browser, upon execution of the custom targeted tag code by the tag module, to perform an action.

Abstract: A cloud services composition system allows customers to interactively create service constructs from network function virtualization resources. The network function virtualization primitives are modeled using a standard modeling language. An expert system suggests network function virtualization resources for use in the service construct, based on an expert system learning algorithm. The customer uses a graphical user interface to interconnect the resources and create the service construct. The process may involve collaboration with the network provider. The resulting construct is validated for use in a communications network.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums that provide users of a network-based financial account management system with a contextual user interface element, which when activated presents dynamic graphical user interfaces that provide financial account information as well as suggested financial performance improvement actions. Whether or not the contextual user interface is displayed may be based upon one or more of: a context of the user, financial account information of the user, and account rules. Additionally, the suggested financial performance improvement actions may also be determined based upon one or more of: a context of the user, financial account information of the user, and account rules.

Abstract: A chatbot check-in platform includes a salon application associated with a messenger chatbot, wherein a user requests via the chatbot an appointment for a salon service. The platform includes a location service in communication with the salon application for finding a salon nearby a user; a salon services API in communication with the salon application for finding a requested salon service and time for appointment for the salon; and a database interface responding to a request for making an appointment with the salon.

Abstract: The present teachings a method including: receiving a beacon signal, from a beacon signal provider when a user mobile device is within a range of the beacon signal provider; generating a first notification to transmit from the user mobile device to one or more contact mobile devices based on an associated protocol; transmitting the first notification to the one or more contact mobile devices; and receiving a shopping request from the one or more contact mobile devices; wherein communication between the user and the one or more contacts is automatically facilitated so that the user is relieved of establishing and maintaining communication with one or more contacts; and wherein communication with the one or more contacts by the first notification is undertaken substantially instantaneously upon receiving the beacon signal.

Abstract: Systems and methods for submitting regulatory documents, from authoring through uploading to a health authority gateway. It may continuously publish documents into a submission archive as documents become associated to the content plan and as related content or attributes are updated. It may continuously validate submission components by applying validation rules defined by a health authority to report non-conforming validation results during the publishing process. It may allow users to review and resolve validation errors and warnings by reporting information to users on an ongoing basis to help reduce end-stage reconciliation.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for obtaining real-time estimates. In one embodiment, a novel customizable, transferable system architecture is presented that enables the characterization of a task, designated for time estimate, into steps or processes. The characterization may occur using the novel architecture which introduces an estimates service module that can provide an initial timing estimate by obtaining a composite time estimate of all steps. Timing of each of the steps can be predicted using a job scheduling enterprise designed to model the job or step. In another embodiment, delays are captured by time estimate monitors which can provide the alerts and delta time differences. Such alerts and time differences can be updated and presented to the user.

Abstract: A transaction terminal dynamically and regularly changes a unique transaction terminal identifier (ID). The transaction terminal ID is reported to a remote manager. During a transaction, a mobile device automatically reads a current transaction terminal ID from the transaction terminal, appends a mobile device ID for the mobile device, and sends the transaction terminal ID with the mobile device ID to the remote manager. The remote manager links the mobile ID to details associated with a user of the mobile device and sends the details to the transaction terminal. The transaction terminal uses the details to customize a transaction being conducted by the user at the transaction terminal.

Abstract: A system and method for facilitating a user to initiate and accept an assistance request through a chat session is disclosed. Controls may be provided in a graphical chat interface to enable the user to specify inputs to request assistance from other users participating in the chat session. An assistance request may be generated and communicated to those users through the chat session. Graphical representation for the assistance request and controls that facilitate the users to accept the assistance request may be provided in the graphical chat interface. Upon an acceptance to the assistance request by a responding user through the graphical chat interface, an assistance command may be generated and executed in the virtual space.