Abstract: A method for displaying a virtual image to a user is implemented by a computing device. The method includes to first obtain an initial position of the user, and define a reference point at the initial position of the user. Then, the computing device obtains a user position of the user, and determines whether a distance between a position of the reference point and the user position is greater than a threshold. If the distance is greater than the threshold, the computing device moves the position of the reference point to a reference position that is at most the threshold away from the user position. Finally, the computing device obtains a display position as a relative position based on the position of the reference point, and displays the virtual image at the display position.

Abstract: A method for providing service-related data includes: obtaining header information associated with a merchant based on registration information associated with the merchant, the registration information at least including a location of the merchant; based on product data associated with the merchandise, obtaining merchandise-related data associated with a merchandise provided by the merchant; obtaining content information based on the product data and the merchandise-related data; generating the service-related data using the header information and the content information; and transmitting the service-related data to a server as an entry of to-be-searched service-related data to enable the server to store the entry of to-be-searched service-related data in a data storage.

Abstract: Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.

Abstract: Described is a system that matches a query with a set of sentences. When a query is received, the system may extract features from the query including one or more words as tokens and retrieve a set of candidate sentences as potential results for the query. For example, the query may be in the form of a question, and the candidate sentences may be alternative phrasings of the query that potentially match the user's search intent. The relevant set of candidate sentences may be determined based on using multiple relevancy scores and the system may rank the candidates according to an overall or aggregate score. Accordingly, the set of results to a query may be provided by recognizing the sentence as a whole and, for example when the query is a question, the interrogative intent of the query.

Abstract: Systems and methods are disclosed for extending and reinforcing a knowledge graph using wiki-like web pages as a source of information. A web crawler parse a wiki-like source and obtain a topic entity from the source. Relationships between the topic entity and sub-topics within the source are identified and a graph is built with the topic and relationships to sub-topics. A candidate topic in the knowledge graph is identified, and a sub-graph of the knowledge graph is either identified or generated. The knowledge sub-graph contains the candidate topic and relationships to sub-topics. A similarity is computed between the source graph and the knowledge sub-graph. If the two graphs are sufficiently similar, then the source topic graph is merged with the knowledge graph.

Abstract: Systems and methods are disclosed to identify entities that have a similar meaning, and may, in embodiments, be grouped into entity groups for knowledge base construction. In embodiments, the entity relations of similarity or non-similarity for an entity pair are predicted as a binary relationship. In embodiments, the prediction may be based upon similarity score between the entities and the entity features, which features are constructed using an entity feature or representation model. In embodiments, the prediction may be an iterative process involving minimum human checking and existing knowledge update. In embodiments, one or more entity groups are formed using graph search from the predicted entity pairs. In embodiments, a group centroid entity may be selected to represent each group based on one or more factors, such as its generality or popularity.

Abstract: Systems and methods are disclosed for extending and reinforcing a knowledge graph using wiki-like web pages as a source of information. A web crawler parse a wiki-like source and obtain a topic entity from the source. Relationships between the topic entity and sub-topics within the source are identified and a graph is built with the topic and relationships to sub-topics. A candidate topic in the knowledge graph is identified, and a sub-graph of the knowledge graph is either identified or generated. The knowledge sub-graph contains the candidate topic and relationships to sub-topics. A similarity is computed between the source graph and the knowledge sub-graph. If the two graphs are sufficiently similar, then the source topic graph is merged with the knowledge graph.

Abstract: Described is a system that matches a query with a set of sentences. When a query is received, the system may extract features from the query including one or more words as tokens and retrieve a set of candidate sentences as potential results for the query. For example, the query may be in the form of a question, and the candidate sentences may be alternative phrasings of the query that potentially match the user's search intent. The relevant set of candidate sentences may be determined based on using multiple relevancy scores and the system may rank the candidates according to an overall or aggregate score. Accordingly, the set of results to a query may be provided by recognizing the sentence as a whole and, for example when the query is a question, the interrogative intent of the query.

Abstract: Systems and methods are disclosed to identify entities that have a similar meaning, and may, in embodiments, be grouped into entity groups for knowledge base construction. In embodiments, the entity relations of similarity or non-similarity for an entity pair are predicted as a binary relationship. In embodiments, the prediction may be based upon similarity score between the entities and the entity features, which features are constructed using an entity feature or representation model. In embodiments, the prediction may be an iterative process involving minimum human checking and existing knowledge update. In embodiments, one or more entity groups are formed using graph search from the predicted entity pairs. In embodiments, a group centroid entity may be selected to represent each group based on one or more factors, such as its generality or popularity.

Abstract: Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.

Abstract: According to one embodiment, a set of predetermined queries are collected, where each of the predetermined queries is associated with a predetermined category (e.g., particular medical category or particular type of Web sites). For each of the predetermined queries, the predetermined query is annotated using an annotation dictionary corresponding to the predetermined category. One or more features are extracted from the predetermined query based on annotation of the predetermined query. A classification model corresponding to the predetermined category is trained and generated based on the predetermined queries and features associated with the predetermined queries. The classification model is utilized to classify users for information retrieval.

Abstract: A temperature compensating device for providing active bias for an amplifier includes a voltage source, a plurality of loads, and a current generator for generating a current for the amplifier according to voltages provided by the voltage source and the plurality of loads, wherein a first load of the plurality of loads is a thermistor utilized for keeping the current within a specified range under a plurality of ambient temperatures.

Abstract: A temperature compensating device for providing active bias for an amplifier includes a voltage source, a plurality of loads, and a current generator for generating a current for the amplifier according to voltages provided by the voltage source and the plurality of loads, wherein a first load of the plurality of loads is a thermistor utilized for keeping the current within a specified range under a plurality of ambient temperatures.

Abstract: A low noise block down converter with integrated feedhorn (LNBF). A module frame provides an isolating structure and a first receiving portion, both disposed thereon. A first probe and insert element are disposed in the first receiving portion. A connector is mounted on the module frame. First and second printed circuit boards and the isolating structure are disposed in the module frame. The first printed circuit board is coupled to the second printed circuit board. A conducting wire passes through the isolating structure and connects the second printed circuit board to the connector.

Abstract: The present invention is directed to a power converter, which includes a first switching voltage regulator, some linear voltage regulators, and a second switching voltage regulator. The first switching voltage regulator is electrically connected between input ports and an output terminal. One ends of the linear voltage regulators are respectively electrically connected to the input ports. The second switching voltage regulator is respectively electrically connected between another ends of the linear voltage regulators and the output terminal.

Abstract: A low noise block down converter with integrated feedhorn (LNBF). A module frame provides an isolating structure and a first receiving portion, both disposed thereon. A first probe and insert element are disposed in the first receiving portion. A connector is mounted on the module frame. First and second printed circuit boards and the isolating structure are disposed in the module frame. The first printed circuit board is coupled to the second printed circuit board. A conducting wire passes through the isolating structure and connects the second printed circuit board to the connector.

Abstract: An auxiliary memory device for automation controller is disclosed. The internal data stored in the memory device is delivered to the internal memory device of the controller to update the internal instructions of the controller after connecting the memory device with the connecting interface of the controller. Besides, the internal data of the controller is also backed up to the memory device. Therefore, the expansion of the controller is improved.

Abstract: An electric connector having at least one port includes a casing having at least one port, at least one terminal seat, and at least one circuit board having a plurality of electronic elements thereon. Each terminal seat includes a first terminal seat half and a second terminal seat half. Each terminal seat has a plurality of conductive terminals. The circuit board has holes to be connected with a first terminal seat half and a second terminal seat half of the terminal seat. The terminals of the first terminal seat half serve to receive signals. The terminals of the second terminal seat half serves to be connected to a device end. By connecting the holes to the terminals and then combing the terminal seat halves and the circuit board, the terminals are electrically conducted with the electronic elements on the circuit board. Further. plastics or rubber is filled to the outer sides of the circuit board and the elements; and then the terminal seat with the circuit board is inserted into the casing.