Songhua
Songhua Shi, Chandler, AZ US
Patent application number | Description | Published |
---|---|---|
20150342060 | SYSTEMS FOR ENCAPSULATING A HYBRID ASSEMBLY OF ELECTRONIC COMPONENTS AND ASSOCIATED METHODS - During a process to encapsulate electronic components and attachment interfaces thereof on a first side of a substrate of a hybrid assembly, a fluid is supplied to a trench of an encapsulation system in which the hybrid assembly is loaded, and a balancing pressure is delivered by the fluid within the trench, during the encapsulation process, to support the hybrid assembly from an opposing second side of the substrate. A regulator of a fluid supply of the system may maintain the balancing pressure, for example, being controlled by a controller of the system that is configured to estimate a pressure within a molding cavity of the system. | 11-26-2015 |
Songhua Xu, Oak Ridge, TN US
Patent application number | Description | Published |
---|---|---|
20130325858 | PERSONALIZED PROFESSIONAL CONTENT RECOMMENDATION - A personalized content recommendation system includes a client interface configured to automatically monitor a user's information data stream transmitted on the Internet. A hybrid contextual behavioral and collaborative personal interest inference engine resident to a non-transient media generates automatic predictions about the interests of individual users of the system. A database server retains the user's personal interest profile based on a plurality of monitored information. The system also includes a server programmed to filter items in an incoming information stream with the personal interest profile and is further programmed to identify only those items of the incoming information stream that substantially match the personal interest profile. | 12-05-2013 |
20150046875 | HIGH-EFFICACY CAPTURING AND MODELING OF HUMAN PERCEPTUAL SIMILARITY OPINIONS - A personalized human perceptual opinion capturing and modeling system includes a processor and memory. Logic stored in the memory renders a user interface on an electronic display. The user interface includes many active areas radially linking multiple peripheral image objects to a central image object where an image object is an object of an image or a visually represented entity. The multiple peripheral image objects are positioned around a curved path about the central image object. The active areas include impression characteristic objects associated with hyperlinks that render a second user interface. The second user interface displays a selected peripheral image object, the central image object, and a color mapping model or a visual feedback mechanism. A database stores user expressed perceptual opinion data representing the similarity of the selected peripheral image object to the central image object. A user's positional movements of a positional object rendered on the electronic display enable the user to visually express and represent the similarities between each of the plurality of peripheral image objects to the central image object through the impression characteristic objects, a visual heuristic object, and a spatial separation. | 02-12-2015 |
Songhua Xu, Knoxville, TN US
Patent application number | Description | Published |
---|---|---|
20130254217 | RECOMMENDING PERSONALLY INTERESTED CONTENTS BY TEXT MINING, FILTERING, AND INTERFACES - A personalized content recommendation system includes a client interface device configured to monitor a user's information data stream. A collaborative filter remote from the client interface device generates automated predictions about the interests of the user. A database server stores personal behavioral profiles and user's preferences based on a plurality of monitored past behaviors and an output of the collaborative user personal interest inference engine. A programmed personal content recommendation server filters items in an incoming information stream with the personal behavioral profile and identifies only those items of the incoming information stream that substantially matches the personal behavioral profile. The identified personally relevant content is then recommended to the user following some priority that may consider the similarity between the personal interest matches, the context of the user information consumption behaviors that may be shown by the user's content consumption mode. | 09-26-2013 |