Abstract: One example method includes performing a hash of data to generate a hash value, checking a binary trie to determine if the hash value has previously been entered into the binary trie, if the hash value has previously been entered in the binary trie, declaring the data as a duplicate of other data, and if the hash value has not been previously entered in the binary trie, updating the binary trie to include the hash value.

Abstract: One example method includes performing a hash of data to generate a hash value, checking a binary trie to determine if the hash value has previously been entered into the binary trie, if the hash value has previously been entered in the binary trie, declaring the data as a duplicate of other data, and if the hash value has not been previously entered in the binary trie, updating the binary trie to include the hash value.

Abstract: The present disclosure relates to a multi-effect desalination apparatus by partially dosing acids into only evaporators corresponding to a relatively high temperature part, while dosing a polymer-based anti-scalant into all the evaporators, to minimize a risk of a scale and corrosion with maximizing a top brine temperature of desalination facility, and a desalination method using the same.

Abstract: Access to system and application settings may be gained from one place without leaving the context of an application. System and application settings accessed may be limited to settings that are relevant to the application or to the context of the application. An application may to determine what application settings are displayed to a user. A user may to control some of the resources an application may access.

Abstract: A system and method for management of network traffic flow for one or more networks of interconnected computing devices, including predicting one or more types of network traffic data flows using a Machine Learning (ML) classifier, and updating the ML classifier according to identified changes in the network traffic data flows. Using software-defined-networking (SDN) tools and an updated ML classifier, training data is generated to formulate accurate new predictions of the one or more types of network traffic data flows. Network traffic flow is regulated based on the generated new predictions.

Abstract: Access to system and application settings may be gained from one place without leaving the context of an application. System and application settings accessed may be limited to settings that are relevant to the application or to the context of the application. An application may to determine what application settings are displayed to a user. A user may to control some of the resources an application may access.

Abstract: Access to system and application settings may be gained from one place without leaving the context of an application. System and application settings accessed may be limited to settings that are relevant to the application or to the context of the application. An application may determine what application settings are displayed to a user. A user may to control some of the resources an application may access.

Abstract: A system and method for management of network traffic flow for one or more networks of interconnected computing devices, including predicting one or more types of network traffic data flows using a Machine Learning (ML) classifier, and updating the ML classifier according to identified changes in the network traffic data flows. Using software-defined-networking (SDN) tools and an updated ML classifier, training data is generated to formulate accurate new predictions of the one or more types of network traffic data flows. Network traffic flow is regulated based on the generated new predictions.

Abstract: Access to system and application settings may be gained from one place without leaving the context of an application. System and application settings accessed may be limited to settings that are relevant to the application or to the context of the application. An application may to determine what application settings are displayed to a user. A user may to control some of the resources an application may access.

Abstract: The invention is generally directed to a method for selecting a font that uses a mark-up language document to group together multiple pre-existing fonts into a single font family or “virtual font.” The mark-up language document includes rules regarding the conditions under which individual fonts within the family are to be used. This permits, for example, a font developer to create, in an efficient manner, an international font using several preexisting fonts.

Abstract: The invention is generally directed to a method for selecting a font that uses a mark-up language document to group together multiple pre-existing fonts into a single font family or “virtual font.” The mark-up language document includes rules regarding the conditions under which individual fonts within the family are to be used. This permits, for example, a font developer to create, in an efficient manner, an international font using several preexisting fonts.