Abstract: A data query method based on Doris includes: acquiring history data in a bottom operator in a storage engine architecture of the Doris, and performing an aggregation calculation on the history data to obtain an aggregation result of the history data; caching, by a preset cache system, the aggregation result of the history data; performing an aggregation calculation on real-time data in a newly inserted bottom operator in the Doris, in response to a data query request, to obtain an aggregate result of the real-time data; acquiring the aggregation result of the history data from the preset cache system, and merging the aggregation result of the history data with the aggregation result of the real-time data to obtain merged data; and sending, by a data sending operator in the Doris, the merged data to an upper layer of an execution engine, to output a final data query result.

Abstract: Embodiments of a dialog system that employs a corpus-based approach to generate responses based on a given number of semantic constraint-value pairs are described. The system makes full use of the data from the user input to produce dialog system responses in combination with a template generator. The system primarily utilizes constraint values in order to realize efficiencies based on the more frequent tasks performed in real dialog systems although rhetorical or discourse aspects of the dialog could also be included in a similar way, that is, labeling the data with such information and performing a training process. The benefits of this system include higher quality user-aligned responses, broader coverage, faster response time, and shorter development cycles.

Abstract: An optimal selection or decision strategy is described through an example that includes use in dialog systems. The selection strategy or method includes receiving multiple predictions and multiple probabilities. The received predictions predict the content of a received input and each of the probabilities corresponds to one of the predictions. In an example dialog system, the received input includes an utterance. The selection method includes dynamically selecting a set of predictions from the received predictions by generating ranked predictions. The ranked predictions are generated by ordering the plurality of predictions according to descending probability.

Abstract: An optimal selection or decision strategy is described through an example that includes use in dialog systems. The selection strategy or method includes receiving multiple predictions and multiple probabilities. The received predictions predict the content of a received input and each of the probabilities corresponds to one of the predictions. In an example dialog system, the received input includes an utterance. The selection method includes dynamically selecting a set of predictions from the received predictions by generating ranked predictions. The ranked predictions are generated by ordering the plurality of predictions according to descending probability.

Abstract: Embodiments of a dialog system that employs a corpus-based approach to generate responses based on a given number of semantic constraint-value pairs are described. The system makes full use of the data from the user input to produce dialog system responses in combination with a template generator. The system primarily utilizes constraint values in order to realize efficiencies based on the more frequent tasks performed in real dialog systems although rhetorical or discourse aspects of the dialog could also be included in a similar way, that is, labeling the data with such information and performing a training process. The benefits of this system include higher quality user-aligned responses, broader coverage, faster response time, and shorter development cycles.

Abstract: A method, system and apparatus for converting media contents are disclosed. The method includes these steps: a media conversion apparatus receives a media conversion service request from a media application terminal, where the media conversion service request carries a media content ID and playing capability information of the media application terminal; the media conversion apparatus sends a media content transmission request carrying the media content ID to the content source device; and the media conversion apparatus receives a media content identified by the media content ID from the content source device, converts the received media content according to the playing capability information of the media application terminal, and sends the converted media content to the media application terminal.

Abstract: An optimal selection or decision strategy is described through an example that includes use in dialog systems. The selection strategy or method includes receiving multiple predictions and multiple probabilities. The received predictions predict the content of a received input and each of the probabilities corresponds to one of the predictions. In an example dialog system, the received input includes an utterance. The selection method includes dynamically selecting a set of predictions from the received predictions by generating ranked predictions. The ranked predictions are generated by ordering the plurality of predictions according to descending probability.

Abstract: An optimal selection or decision strategy is described through an example that includes use in dialog systems. The selection strategy or method includes receiving multiple predictions and multiple probabilities. The received predictions predict the content of a received input and each of the probabilities corresponds to one of the predictions. In an example dialog system, the received input includes an utterance. The selection method includes dynamically selecting a set of predictions from the received predictions by generating ranked predictions. The ranked predictions are generated by ordering the plurality of predictions according to descending probability.

Abstract: A communication device, system and method for managing the local network device remotely include: a local gateway acquires the topology structure and the configuration information of the local network device, and sends them to a remote management server; the remote management server generates configuration instruction to manage the local network device accordingly. The local gateway can manage the local network terminal uniformly, and it is unnecessary that all terminals of the local network support the remote network management protocol. Moreover, the remote management server can easily know the condition of the network organization of the whole local network and optimize the configuration based on the topology of the local network.

Abstract: An embodiment of the present invention provides a method for performing authentication on a subscriber terminal in a digital television (DTV) network which comprises at least one subscriber terminal and a head end for sending encrypted DTV program data to each subscriber terminal, the subscriber terminal comprising a set top box (STB) and a subscriber identification module for storing key information for decrypting the DTV program data, the method including: reading, by the STB, the life cycle of the key from the subscriber identification module when the STB starts up; initiating, by the STB, an authentication request to the head end when the life cycle expires; performing, by the head end, authentication after receiving the authentication request, and sending a response message to the STB; receiving, by the STB, the response message, and updating the key information when the response message is a response message which indicates successful authentication.

Abstract: A technique for domain-based natural language dialogue includes a program that combines a broad-coverage parser with a general-purpose interpreter and a knowledge base to handle unrestricted sentences in a domain, such as the medical self-help domain. The broad-coverage parser may have more than 40,000 words in its dictionary. The general-purpose interpreter may use logical forms to represent the semantic meaning of a sentence. The knowledge base may include a domain of modest size, but the interpretive and inference techniques may be domain independent and scalable.