Abstract: A method and a device for enhancing brightness and contrast of a video image are provided. In the method, an inflection point, a truncation point, a maximum value of a brightness component, and a minimum value of the brightness component of an image frame to be processed are determined based on the brightness component of the image frame to be processed, a piecewise linear function is determined based on the inflection point, and brightness and contrast enhancement processing is performed on the image frame to be processed based on the piecewise linear function. Compared with the brightness and contrast enhancement method in conventional art, the method and device of the application can achieve better brightness and contrast enhancement effects.

Abstract: A method for projecting performance of a target asset compared to a benchmark, the method comprising receiving one or more target matrices corresponding to a target portfolio and one or more benchmark matrices corresponding to a benchmark portfolio, wherein the target matrices and benchmark matrices comprise elements corresponding to variables that influence portfolio performance trajectory, computing a target performance trajectory based on the one or more target matrices and a benchmark performance trajectory based on the benchmark matrices, identifying actions to bring the target performance trajectory above the benchmark performance trajectory; and communicating the identified actions.

Abstract: Disclosed is a method of recovering rare earth, aluminum and silicon from rare earth-containing aluminum-silicon scrap. The method comprises: S1, acid-leaching the rare earth-containing aluminum-silicon scrap with an inorganic acid aqueous solution to obtain a silicon-rich slag and acid leached solution containing rare earth and aluminum element; S2, adding an alkaline substance into the acid leached solution containing the rare earth and aluminum element and controlling a PH value of the acid leaching solution between 3.5 to 5.2, performing a solid-liquid separation to obtain a aluminum hydroxide-containing precipitate and a rare earth-containing solution filter; S3, reacting the aluminum hydroxide containing precipitate with sodium hydroxide to obtain sodium metaaluminate solution and aluminum-silicon slag, and preparing a rare earth compound product with the rare earth-containing filtrate.

Abstract: Disclosed is a method of recovering rare earth, aluminum and silicon from rare earth-containing aluminum-silicon scrap. The method comprises: S1, acid-leaching the rare earth-containing aluminum-silicon scrap with an inorganic acid aqueous solution to obtain a silicon-rich slag and acid leached solution containing rare earth and aluminum element; S2, adding an alkaline substance into the acid leached solution containing the rare earth and aluminum element and controlling a PH value of the acid leaching solution between 3.5 to 5.2, performing a solid-liquid separation to obtain a aluminum hydroxide-containing precipitate and a rare earth-containing solution filter; S3, reacting the aluminum hydroxide containing precipitate with sodium hydroxidee to obtain sodium metaaluminate solution and aluminum-silicon slag, and preparing a rare earth compound product with the rare earth-containing filtrate.

Abstract: An electronic cigarette includes a cigarette body, a cartridge, an atomizer supported in the cigarette body, a control circuitry and an analog display arrangement. The analog display arrangement includes an analog display dial provided on the cigarette body, an indicating pointer movably provided on the analog display dial, a driving unit provided in the cigarette body and connected to the indicating pointer for driving the indicating pointer to move on the analog display dial. The driving unit is connected to the control circuitry for displaying an operational parameter of the electronic cigarette in an analog manner.

Abstract: A method for determining a generation schedule with contingency constraints for controlling power output levels for a plurality of generators in an electric power system including determining a measure of a sparse, corrective model (C), security-constrained optimal power flow (SCOPF), which reduces a number of post-contingency rescheduling operations for each of a plurality of contingencies, and adjusting a power output level of at least one of the plurality of generators according to the measure of the sparse C-SCOPF upon detecting a contingency in the electric power system.

Abstract: A method for projecting performance of a target asset compared to a benchmark, the method comprising receiving one or more target matrices corresponding to a target portfolio and one or more benchmark matrices corresponding to a benchmark portfolio, wherein the target matrices and benchmark matrices comprise elements corresponding to variables that influence portfolio performance trajectory, computing a target performance trajectory based on the one or more target matrices and a benchmark performance trajectory based on the benchmark matrices, identifying actions to bring the target performance trajectory above the benchmark performance trajectory; and communicating the identified actions.

Abstract: A method for determining power output levels of a plurality of nodes in an electric power system includes receiving, at a first node of the plurality of nodes, voltage information and multipliers of all neighboring nodes of the first node within the electric power system, determining, by the first node, a local power generation and a local voltage using the voltage information and the multipliers of the neighboring nodes and distributing the local power generation and the local voltage to the neighboring nodes, determining, by the first node, an estimated voltage of each of the neighboring nodes and distributing the estimated voltage to each of the neighboring nodes, and updating, by the first node, a local multiplier using the voltage information received from the neighboring nodes and the estimated voltage of each of the neighboring nodes determined by the node.

Abstract: A method for determining a generation schedule with contingency constraints for controlling power output levels for a plurality of generators in an electric power system including determining a measure of a sparse, corrective model (C), security-constrained optimal power flow (SCOPF), which reduces a number of post-contingency rescheduling operations for each of a plurality of contingencies, and adjusting a power output level of at least one of the plurality of generators according to the measure of the sparse C-SCOPF upon detecting a contingency in the electric power system.

Abstract: Aspects of the present invention provide a tool for hash-based indexing. In an embodiment, a ranked dataset having a plurality of data items is obtained. Every data item in the ranked dataset has a ranking with respect to every other data item in the ranked dataset. A ranking triplet matrix is created based on the ranked dataset. The ranking triplet matrix has a set of ranking triplets, each of which indicates the relative ranking for a pair of the data items in the ranked dataset. This ranking triplet can be merged with a hash table obtained using a standard hash function and the data items can be indexed based on the results.

Abstract: Aspects of the present invention provide a tool for hash-based indexing. In an embodiment, a ranked dataset having a plurality of data items is obtained. Every data item in the ranked dataset has a ranking with respect to every other data item in the ranked dataset. A ranking triplet matrix is created based on the ranked dataset. The ranking triplet matrix has a set of ranking triplets, each of which indicates the relative ranking for a pair of the data items in the ranked dataset. This ranking triplet can be merged with a hash table obtained using a standard hash function and the data items can be indexed based on the results.

Abstract: Aspects of the present invention provide a tool for hash-based indexing. In an embodiment, a ranked dataset having a plurality of data items is obtained. Every data item in the ranked dataset has a ranking with respect to every other data item in the ranked dataset. A ranking triplet matrix is created based on the ranked dataset. The ranking triplet matrix has a set of ranking triplets, each of which indicates the relative ranking for a pair of the data items in the ranked dataset. This ranking triplet can be merged with a hash table obtained using a standard hash function and the data items can be indexed based on the results.

Abstract: Aspects of the present invention provide a tool for hash-based indexing. In an embodiment, a ranked dataset having a plurality of data items is obtained. Every data item in the ranked dataset has a ranking with respect to every other data item in the ranked dataset. A ranking triplet matrix is created based on the ranked dataset. The ranking triplet matrix has a set of ranking triplets, each of which indicates the relative ranking for a pair of the data items in the ranked dataset. This ranking triplet can be merged with a hash table obtained using a standard hash function and the data items can be indexed based on the results.

Abstract: Query-correction pairs can be extracted from search log data. Each query-correction pair can include an original query and a follow-up query, where the follow-up query meets one or more criteria for being identified as a correction of the original query, such as an indication of user input indicating the follow-up query is a correction for the original query. The query-correction pairs can be segmented to identify bi-phrases in the query-correction pairs. Probabilities of corrections between the bi-phrases can be estimated based on frequencies of matches in the query-correction pairs. Identifications of the bi-phrases and representations of the probabilities of those bi-phrases can be stored in a probabilistic model data structure.