Abstract: An accommodation device includes a plurality of walls, a partition, and an air blowing unit. The walls define an accommodation space. The partition is disposed in the accommodation space to divide the accommodation space into a first area and a second area. The air blowing unit is disposed in the first area and blows an air to the first area.

Abstract: Methods are taught for creating training data for a learning algorithm, training the learning algorithm with the training data and using the trained learning algorithm to suggest domain names to users. A domain name registrar may store activities of a user on a registrar website. Preferably, domain name searches, selected suggested domain names and domain names registered to the user are stored as the training data in a training database. The training data may be stored so that earlier activities act as inputs to the learning algorithm while later activities are the expected outputs of the learning algorithm.

Abstract: Methods are taught for creating training data for a learning algorithm, training the learning algorithm with the training data and using the trained learning algorithm to suggest domain names to users. A domain name registrar may store activities of a user on a registrar website. Preferably, domain name searches, selected suggested domain names and domain names registered to the user are stored as the training data in a training database. The training data may be stored so that earlier activities act as inputs to the learning algorithm while later activities are the expected outputs of the learning algorithm. Once trained, the learning algorithm may receive activities of other users and suggest domain names to the other users based on their activities.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: receive a string used to search an available domain name, identify a token within the string including a unigram, and generate and transmit one or more available domain name candidates including a unigram and one or more tokens interchangeable with a token previously co-occurring with the unigram token.

Abstract: Aspects of the disclosure provide an optical communication system. The system may include a receiver lens system configured to receive a light beam from a remote optical communication system and direct the light beam to a photodetector. The system may also include the photodetector. The photodetector may be configured to convert the received light beam into an electrical signal, and the photodetector may be positioned at a focal plane of the receiver lens system. The system may also include a phase-aberrating element arranged with respect to the receiver lens system and the photodetector such that the phase-aberrating element is configured to provide uniform angular irradiance at the focal plane of the receiver lens system.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: identify a business name within an aggregation of business names; tokenize the business name; match a resulting token to an industry related keyword; generate a template with placeholders replacing a prefix or a suffix appended to the token from a recognized pattern; identify a request to generate a name candidate, select a personalized data associated with the requesting user and an associated industry; and generate a list of name candidates, with the personalized data inserted into the placeholder; then determines the availability and ranks each name candidate in the list.

Abstract: Methods are taught for creating training data for a learning algorithm, training the learning algorithm with the training data and using the trained learning algorithm to suggest domain names to users. A domain name registrar may store activities of a user on a registrar website. Preferably, domain name searches, selected suggested domain names and domain names registered to the user are stored as the training data in a training database. The training data may be stored so that earlier activities act as inputs to the learning algorithm while later activities are the expected outputs of the learning algorithm. Once trained, the learning algorithm may receive activities of other users and suggest domain names to the other users based on their activities.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: receive a character string (e.g., a user input or a file content) from a client; match file tokens tokenized from the character string with knowledge base tokens in a database; generate labels/tags for the file tokens according to labels assigned to the knowledge base tokens and a second level domain (SLD) including a token from the file tokens; remove any tokens from the SLD flagged for removal in the database; generate a top level domain (TLD) and one or more domain names combining the SLD and the TLD; score each of one or more generated domain names according to domain name characteristics; and display a list of scored domain names on the client.

Abstract: Aspects of the disclosure provide an optical communication system. The system may include a receiver lens system configured to receive a light beam from a remote optical communication system and direct the light beam to a photodetector. The system may also include the photodetector. The photodetector may be configured to convert the received light beam into an electrical signal, and the photodetector may be positioned at a focal plane of the receiver lens system. The system may also include a phase-aberrating element arranged with respect to the receiver lens system and the photodetector such that the phase-aberrating element is configured to provide uniform angular irradiance at the focal plane of the receiver lens system.

Abstract: Aspects of the disclosure provide an optical communication system. The system may include a receiver lens system configured to receive a light beam from a remote optical communication system and direct the light beam to a photodetector. The system may also include the photodetector. The photodetector may be configured to convert the received light beam into an electrical signal, and the photodetector may be positioned at a focal plane of the receiver lens system. The system may also include a phase-aberrating element arranged with respect to the receiver lens system and the photodetector such that the phase-aberrating element is configured to provide uniform angular irradiance at the focal plane of the receiver lens system.

Abstract: Aspects of the disclosure provide an optical communication system. The system may include a receiver lens system configured to receive a light beam from a remote optical communication system and direct the light beam to a photodetector. The system may also include the photodetector. The photodetector may be configured to convert the received light beam into an electrical signal, and the photodetector may be positioned at a focal plane of the receiver lens system. The system may also include a phase-aberrating element arranged with respect to the receiver lens system and the photodetector such that the phase-aberrating element is configured to provide uniform angular irradiance at the focal plane of the receiver lens system.

Abstract: A tunable device includes a deformable dielectric unit formed with a receiving space, and a tunable member received in the receiving space and responsible to an electric field applied to the tunable member. A transducer is also provided, and includes at least one of the tunable device and one of a driver unit, a sensing unit and the combination thereof in signal transmission with the tunable device. A method of tuning the tunable device is also provided.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: identify a business name within an aggregation of business names; tokenize the business name; match a resulting token to an industry related keyword; generate a template with placeholders replacing a prefix or a suffix appended to the token from a recognized pattern; identify a request to generate a name candidate, select a personalized data associated with the requesting user and an associated industry; and generate a list of name candidates, with the personalized data inserted into the placeholder; then determines the availability and ranks each name candidate in the list.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: identify a business name within an aggregation of business names; tokenize the business name; match a resulting token to an industry related keyword; generate a template with placeholders replacing a prefix or a suffix appended to the token from a recognized pattern; identify a request to generate a name candidate, select a personalized data associated with the requesting user and an associated industry; and generate a list of name candidates, with the personalized data inserted into the placeholder; then determines the availability and ranks each name candidate in the list.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: identify a business name within an aggregation of business names; tokenize the business name; match a resulting token to an industry related keyword; generate a template with placeholders replacing a prefix or a suffix appended to the token from a recognized pattern; identify a request to generate a name candidate, select a personalized data associated with the requesting user and an associated industry; and generate a list of name candidates, with the personalized data inserted into the placeholder; then determines the availability and ranks each name candidate in the list.

Abstract: Methods are taught for creating training data for a learning algorithm, training the learning algorithm with the training data and using the trained learning algorithm to suggest domain names to users. A domain name registrar may store activities of a user on a registrar website. Preferably, domain name searches, selected suggested domain names and domain names registered to the user are stored as the training data in a training database. The training data may be stored so that earlier activities act as inputs to the learning algorithm while later activities are the expected outputs of the learning algorithm. Once trained, the learning algorithm may receive activities of other users and suggest domain names to the other users based on their activities.

Abstract: Methods are taught for creating training data for a learning algorithm, training the learning algorithm with the training data and using the trained learning algorithm to suggest domain names to users. A domain name registrar may store activities of a user on a registrar website. Preferably, domain name searches, selected suggested domain names and domain names registered to the user are stored as the training data in a training database. The training data may be stored so that earlier activities act as inputs to the learning algorithm while later activities are the expected outputs of the learning algorithm. Once trained, the learning algorithm may receive activities of other users and suggest domain names to the other users based on their activities.

Abstract: Methods are taught for creating training data for a learning algorithm, training the learning algorithm with the training data and using the trained learning algorithm to suggest domain names to users. A domain name registrar may store activities of a user on a registrar website. Preferably, domain name searches, selected suggested domain names and domain names registered to the user are stored as the training data in a training database. The training data may be stored so that earlier activities act as inputs to the learning algorithm while later activities are the expected outputs of the learning algorithm. Once trained, the learning algorithm may receive activities of other users and suggest domain names to the other users based on their activities.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: monitor a character stream; identify characters comprising a domain name request; identify a token in a language character map comprising the characters and associated with a language; generate, using a software translation engine, a translation of the first token into a second language; generate candidate domain names comprising: a domain name comprising the token; and a second domain name comprising the second token; modify, in real time, a user interface control to display the list of candidate domain names.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: receive a character string (e.g., a user input or a file content) from a client; match file tokens tokenized from the character string with knowledge base tokens in a database; generate labels/tags for the file tokens according to labels assigned to the knowledge base tokens and a second level domain (SLD) including a token from the file tokens; remove any tokens from the SLD flagged for removal in the database; generate a top level domain (TLD) and one or more domain names combining the SLD and the TLD; score each of one or more generated domain names according to domain name characteristics; and display a list of scored domain names on the client.