Abstract: A cell site maintenance system. The system comprises a plurality of data stores, a processor, a memory coupled to the processor, and a part replacement prediction application stored in memory. When executed by the processor the application extracts features based on data read from the data stores, executes a plurality of part machine learning models, where each part machine learning model analyses some of the extracted features by a multi-label classification model trained for a specific part associated with that part machine learning model and each part machine learning model outputs a probability that the associated part can fix the cell site associated with the trouble ticket, and, based on a probability output by a part machine learning model associated with a first part exceeding a predefined threshold, determining that the first part is to be pulled from a part inventory to make ready for a service truck.

Abstract: Systems and methods for making telecommunication network predictions on a granular geographic area-scale. The method can include receiving network key performance indicators (KPIs) associated with a plurality of user equipment (UEs) and then parsing the network KPIs into a plurality of geographic area-based categories corresponding to network KPIs obtained by cell towers or UEs located within a given geographic area, like a zip code. The method can further include combining the geographic area-based categories into clusters determined based on one or more similarities in the network KPIs of each, and predicting a most-influential one of the network KPIs within at least one of the clusters via a machine learning (ML) model. In response, the method can then cause an indicator to be generated at a user interface, the indicator indicating the most-influential one of the network KPIs within the at least one of the clusters.

Abstract: Technologies are generally described for methods and systems effective to generate a composite image. The methods may include receiving first image data that includes object data corresponding to an object and receiving second image data that includes obscuring data. The obscuring data, if displayed on a display, may obscure at least a portion of the. The methods may also include identifying a first region that may include the object data, in the first image data, The methods may also include identifying a second region, that may include the obscuring data, in the second image data. The methods may also include replacing at least part of the second region with at least part of the first region to generate the composite image data that may include at least some of the object data. The methods may also include displaying the composite image on a display.

Abstract: In at least some examples, a control center, which provides remote driving assistance service, may be configured to receive traffic data from sensors and to identify an area of congested traffic, based on the received traffic data, within a predetermined range of the sensors. When the control center receives a request for the remote driving assistance service, from a vehicle within the predetermined range of the sensor, the control center may generate and transmit remote driving commands to the vehicle.

Abstract: A proxy requestor, who is expected to participate in events hosted on a computing network, may hope to find a proxy to handle the events for the proxy requestor. The proxy requestor, using a requestor device, may submit a request for such proxy to a proxy service provider during or prior to the event. In some examples, the proxy service provider may transmit one or more candidate proxies to the requestor device. Once the proxy requestor device selects a proxy from among the one or more candidate proxies, the requestor device may either facilitate or schedule a connection between the selected proxy and other participants of the events.

Abstract: Technologies are generally described to dynamically alter a game while a gamer is playing the game so as to affect the gaming experience experienced by the gamer. According to some examples, one or more physiological signals may be collected from a gamer as the gamer is playing a game. Based on the collected physiological signals, a Quality of Experience (QoE) vector that indicates the gaming experience of the gamer may be generated. The QoE vector may then be compared with a corresponding value of a predetermined QoE function, and the game may be altered based on the comparison.

Abstract: Technologies and implementations for managing an experience during play of an interactive electronic game are generally disclosed.

Abstract: In some examples, in a supply-and-demand system, e.g., a cloud computing environment or an electrical grid, a coordinator may collect resource consumption data from one or more consuming entities. Based on the collected resource consumption data, the coordinator may be configured to predict resource consumption requirement of each consuming entity in a subsequent time period. Further, in accordance with the prediction, the coordinator may allocate the resources to the consuming entities or recycle the resources currently consumed by the consuming entities.

Abstract: In at least some examples, a control center, which provides remote driving assistance service, may be configured to receive traffic data from sensors and to identify an area of congested traffic, based on the received traffic data, within a predetermined range of the sensors. When the control center receives a request for the remote driving assistance service, from a vehicle within the predetermined range of the sensor, the control center may generate and transmit remote driving commands to the vehicle.

Abstract: Technologies are generally described for methods and systems effective to store a source ontology that is effective to represent first explicit data and second explicit data. In an example, a processor may evaluate the source ontology to identify the first explicit data and the second explicit data. The processor may also identify a relationship between the first and second explicit data. The processor may also partition the source ontology into first decomposed data and second decomposed data based on the relationship between the first and second explicit data. The first decomposed data may include the first explicit data, and the second decomposed data may include the second explicit data. The processor may also store the first decomposed data in a first concealment module. The processor may also store the second decomposed data in a second concealment module that may be different from the first concealment module.

Abstract: Technologies and implementations for managing an experience during play of an interactive electronic game are generally disclosed.

Abstract: Technologies are generally described for methods and systems effective to generate a composite image. The methods may include receiving first image data that includes object data corresponding to an object and receiving second image data that includes obscuring data. The obscuring data, if displayed on a display, may obscure at least a portion of the. The methods may also include identifying a first region that may include the object data, in the first image data. The methods may also include identifying a second region, that may include the obscuring data, in the second image data. The methods may also include replacing at least part of the second region with at least part of the first region to generate the composite image data that may include at least some of the object data. The methods may also include displaying the composite image on a display.

Abstract: In at least some examples, a control center, which provides remote driving assistance service, may be configured to receive traffic data from sensors and to identify an area of congested traffic, based on the received traffic data, within a predetermined range of the sensors. When the control center receives a request for the remote driving assistance service, from a vehicle within the predetermined range of the sensor, the control center may generate and transmit remote driving commands to the vehicle.

Abstract: Technologies are generally described for methods and systems effective to generate a composite image. The methods may include receiving first image data that includes object data corresponding to an object and receiving second image data that includes obscuring data. The obscuring data, if displayed on a display, may obscure at least a portion of the. The methods may also include identifying a first region that may include the object data, in the first image data. The methods may also include identifying a second region, that may include the obscuring data, in the second image data. The methods may also include replacing at least part of the second region with at least part of the first region to generate the composite image data that may include at least some of the object data. The methods may also include displaying the composite image on a display.

Abstract: Various embodiments of technologies for information coding based on semantic data reasoning are provided. In some examples, a process performs semantic reasoning on semantic sentences of a textual message to generate a code, and embeds the code in the textual message as additional information.

Abstract: To automatically sort multiple contacts of a user, in some examples, a system may be configured to monitor physiological signals, which reflect the emotional responses, of the user during communications between the user and his/her contacts and, further, to classify the contacts into multiple contact groups that may be sorted by the emotional responses of the user.

Abstract: Technologies are generally described for methods and systems effective to monitor a data access activity. In some examples, a method may include receiving, by a processor, a destination concept. The processor may identify a set of concepts, which may include the destination concept and at least one related concept associated with the destination concept, in an ontology. The processor may generate a planned path, which may define a first data access order associated with access of at least one of the related concepts and the destination concept, using the set of concepts. The processor may generate a browsing path which may define a second data access order associated with the data access activity. The processor may compare the planned path with the browsing path. The processor may determine a deviation based on the comparison of the planned path and the browsing path. The processor may monitor the data access activity using the deviation.

Abstract: Technologies are generally described for methods and systems effective to generate a composite image. The methods may include receiving first image data that includes object data corresponding to an object and receiving second image data that includes obscuring data. The obscuring data, if displayed on a display, may obscure at least a portion of the. The methods may also include identifying a first region that may include the object data, in the first image data. The methods may also include identifying a second region, that may include the obscuring data, in the second image data. The methods may also include replacing at least part of the second region with at least part of the first region to generate the composite image data that may include at least some of the object data. The methods may also include displaying the composite image on a display.

Abstract: To automatically sort multiple contacts of a user, in some examples, a system may be configured to monitor physiological signals, which reflect the emotional responses, of the user during communications between the user and his/her contacts and, further, to classify the contacts into multiple contact groups that may be sorted by the emotional responses of the user.

Abstract: Technologies are generally described to dynamically alter a game while a gamer is playing the game so as to affect the gaming experience experienced by the gamer. According to some examples, one or more physiological signals may be collected from a gamer as the gamer is playing a game. Based on the collected physiological signals, a Quality of Experience (QoE) vector that indicates the gaming experience of the gamer may be generated. The QoE vector may then be compared with a corresponding value of a predetermined QoE function, and the game may be altered based on the comparison.