Abstract: The present invention discloses an organic electroluminescent device and a manufacturing method thereof. The host material of the light-emitting layer of the organic electroluminescent device is material in which the triplet state energy level of the CT excited state is higher than that of the n-? excited state by 0 to 0.3 eV; or the triplet state of the host material of the light-emitting layer is higher than that of the n-? excited state by more than 1.0 eV; in addition, the difference in energy level between the second triplet state of the n-? state and the first singlet state of the CT excited state is ?0.1 to 0.1 eV; and the luminescent dye is a fluorescent dye. With regard to the organic electroluminescent device in the present invention, as new host material in the light-emitting layer is used and the host material has a donor group and an acceptor group, the triplet state in the light-emitting layer may be fully utilized to achieve a 100% light-emitting efficiency in the fluorescent device.

Abstract: A method for interrupt processing includes setting a buffer for buffering data packets received by a front-end or back-end of the virtual machine and setting a timer for timing data buffering time; determining, after receiving the data packets from the front-end or the back-end, whether the received data packets are interacting data packets and determining whether to enable or postpone the timer, and buffering the received data packets by the buffer and enabling the timer in the case that the data packets are not the interacting data packets; and sending the buffered data packets through a virtual machine manager to the back-end or the front-end of the virtual machine for processing in the case that the buffer reaches a maximum capacity limit or the timer reaches a predetermined time.

Abstract: A method of statistical machine translation (SMT) is provided. The method comprises generating reordering knowledge based on the syntax of a source language (SL) and a number of alignment matrices that map sample SL sentences with sample target language (TL) sentences. The method further comprises receiving a SL word string and parsing the SL word string into a parse tree that represents the syntactic properties of the SL word string. The nodes on the parse tree are reordered based on the generated reordering knowledge in order to provide reordered word strings. The method further comprises translating a number of reordered word strings to create a number of TL word strings, and identifying a statistically preferred TL word string as a preferred translation of the SL word string.

Abstract: A method of statistical machine translation (SMT) is provided. The method comprises generating reordering knowledge based on the syntax of a source language (SL) and a number of alignment matrices that map sample SL sentences with sample target language (TL) sentences. The method further comprises receiving a SL word string and parsing the SL word string into a parse tree that represents the syntactic properties of the SL word string. The nodes on the parse tree are reordered based on the generated reordering knowledge in order to provide reordered word strings. The method further comprises translating a number of reordered word strings to create a number of TL word strings, and identifying a statistically preferred TL word string as a preferred translation of the SL word string.

Abstract: Exemplary improvements for in-band wavelet video coding with spatial scalability are described. In one implementation an encoder uses leaky prediction to balance a trade-off between reducing drifting errors at lower resolutions while maintaining coding performance at higher resolutions. In an alternative implementation, a trade-off technique defines two coding modes at the macroblock level. The first mode includes predictions employed at a low quality reference while the second mode includes predictions employed at a high quality reference. The method then adaptively selects the proper coding mode for each macroblock according to a rate-distortion criterion.

Abstract: A method of statistical machine translation (SMT) is provided. The method comprises generating reordering knowledge based on the syntax of a source language (SL) and a number of alignment matrices that map sample SL sentences with sample target language (TL) sentences. The method further comprises receiving a SL word string and parsing the SL word string into a parse tree that represents the syntactic properties of the SL word string. The nodes on the parse tree are reordered based on the generated reordering knowledge in order to provide reordered word strings. The method further comprises translating a number of reordered word strings to create a number of TL word strings, and identifying a statistically preferred TL word string as a preferred translation of the SL word string.

Abstract: A method for interrupt processing includes setting a buffer for buffering data packets received by a front-end or back-end of the virtual machine and setting a timer for timing data buffering time; determining, after receiving the data packets from the front-end or the back-end, whether the received data packets are interacting data packets and determining whether to enable or postpone the timer, and buffering the received data packets by the buffer and enabling the timer in the case that the data packets are not the interacting data packets; and sending the buffered data packets through a virtual machine manager to the back-end or the front-end of the virtual machine for processing in the case that the buffer reaches a maximum capacity limit or the timer reaches a predetermined time.

Abstract: Exemplary improvements for in-band wavelet video coding with spatial scalability are described. In one implementation an encoder uses leaky prediction to balance a trade-off between reducing drifting errors at lower resolutions while maintaining coding performance at higher resolutions. In an alternative implementation, a trade-off technique defines two coding modes at the macroblock level. The first mode includes predictions employed at a low quality reference while the second mode includes predictions employed at a high quality reference. The method then adaptively selects the proper coding mode for each macroblock according to a rate-distortion criterion.