Empire Technology Development LLC

Other

Shuichi Kurabayashi

Naofumi Yoshida

Kosuke Takano

Technologies are generally described for providing a context-based content list for an electronic device. In some examples, a method performed under control of an electronic device may include gathering first information on or from one or more devices nearby the electronic device in response to a content file creation event on the electronic device; gathering second information on or from one or more devices nearby the electronic device in response to a content list creation event on the electronic device; calculating a similarity between the first information and the second information; and generating a content list based at least in part on the similarity between the first information and the second information.

Context-based content list generation

Technologies are generally described for rendering a character for games. In some examples, a method performed under control of a game server may include calculating a level of detail (LOD) for a first character positioned in a same virtual game space as a second character, based at least in part on a calculated degree of closeness between the first character and the second character; and controlling a display definition of the first character based at least in part on the calculated LOD.

Rendering of game characters

Technologies are generally described for implementing an information rendering scheme. In some examples, a method performed under control of an end device may include obtaining a decryption key; decrypting encrypted information based on the obtained decryption key; and rendering the decrypted information stored in a video random access memory (VRAM) that is operatively connected to a graphic processing unit (GPU) of the end device.

Information rendering scheme

Technologies and implementations for reducing congestion in a network are generally disclosed.

Network congestion reduction

In some examples, a method for managing service requests to a cloud computing system is described. The method may include receiving a service response from a cloud computing system in reply to a service request generated by a process executed on a computing device. The method may also include extracting processing capacity information of the cloud computing system from the service response. The method may also include determining an execution priority for the process based at least in part on the processing capacity information.

Cloud process management

Technologies are generally described for a user interface system configured to detect a user's action. In various examples, an electronic device operable by a user may include an annular sensor and a processor. The annular sensor may be configured to detect a touch input. The processor may be operatively coupled to the annular sensor, and configured to determine an action by the user that corresponds to the touch input.

Annular user interface

Technologies are generally described for constructing an ad-hoc social network. In some examples, a method performed under control of an end device may include calculating a social relevance on a social graph between the end device and another end device, based on a social graph bit array of the end device and a social graph bit array of the other end device; determining that the calculated social relevance is greater than a predetermined threshold value; and constructing an ad-hoc social network that connects the end device with the other end device.

Social network construction

Briefly stated, technologies are generally described for controlling a massively multiplayer online role-playing game (MMORPG), using a user-interface (UI) selection unit, an action log unit, a pattern detector unit and/or an artificial intelligence (AI) player unit. In various examples, a system is described, where the system may be configured to control the action log unit to record logs of a user's actions input through a UI and associate the actions with status information of the user's character and opponent characters in the MMORPG. The system may control the pattern detector unit to extract correlation rules for the status information and the associated actions. The AI player unit may control a substitute player for the user based on the correlation rules, such that the substitute player can automatically reproduce actions of the user.

Controlling a massively multiplayer online role-playing game

Technologies are generally described for generating search indices. In some examples, a method performed under control of a storage device including a first memory and a second memory may include generating a first search index that corresponds to a first data stored in the first memory, based on analysis of the first data; and generating a second search index that corresponds to a second data stored in the second memory in parallel with the generating of the first search index, based on analysis of the second data.

Generation of search index

Technologies are generally described for a failure recovery scheme for a cloud system. In some examples, the cloud system may include one or more computing nodes, and one or more network switches configured to relay one or more packets among the one or more computing nodes. A respective one of the computing nodes may include a first processor configured to process the one or more packets to communicate with at least one of the network switches, and a second processor configured to process the one or more packets to communicate with at least one of the other computing nodes in the cloud system.

Failure recovery scheme for a cloud system

In some examples, a method is described that may include determining, by a computing device, from a service level agreement (SLA) with a user, an upper limit on computer resources in a cloud computing environment that can be consumed per unit time by at least one application executed for the user in the cloud computing environment. The method may also include charging a fixed cost per period under the SLA.

Peak-performance-aware billing for cloud computing environment

Technologies are generally described for generating a preview of a content file dynamically based at least in part on content features of the content file. In some examples, a content preview system may include a content feature analysis unit configured to analyze one or more content features of a content file, and a preview type determination unit configured to determine a preview type for the content file based at least in part on the content features analyzed by the content feature analysis unit.

Dynamic content preview

Technologies are generally described for authenticating a user account. In some examples, a method performed under control of a server may include providing a communication service to an end device; receiving, from the end device, a text input, while providing the communication service; and authenticating a user account associated with the end device, based on the received text input, while providing the communication service.

Continuous user authentication

Technologies are generally described for generating obfuscated message data. In some examples, a method performed under control of a server may include calculating co-occurrence probabilities of a plurality of combinations, each of which includes at least two elements that are included in original message data; extracting, from the original message data, a first data set that includes at least one combination that has a first co-occurrence probability from among the plurality of combinations and a second data set that includes at least one combination that has a second co-occurrence probability from among the plurality of combinations; generating dummy data by using the first data set and the second data set; and adding the generated dummy data to the original message data to generate obfuscated message data.

Protection of private data

Technologies for selecting an input protocol based on an input content are generally disclosed. In one example, a method for selecting an input protocol based on an input content can include: acquiring the input content; analyzing the input content; extracting one or more indivisible individual units from the input content; calculating a similarity between a first frequency of occurrence of the one or more indivisible individual units and a second frequency of occurrence of the one or more indivisible individual units, wherein the second frequency of occurrence of the one or more indivisible individual units is predetermined with a second value of frequency of occurrence; ranking the similarity; identifying the input protocol based on the similarity; and selecting a first ranked input protocol having a highest similarity.

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Fujisawa, Japan

Shuichi Kurabayashi