42results about How to "Retain relevance" patented technology

The invention discloses a speech translation method and a speech translation system. The speech translation method comprises the following steps of: constructing a small language and mandarin replaceable word list; constructing a sub-word dictionary; carrying out one-hot coding on each character; to-be-recognized voice is acquired, and voice features are extracted; calculating a position coding vector of the to-be-recognized voice feature; summing the to-be-recognized speech features and the position coding vectors; inputting a to-be-recognized input vector into the trained speech translationmodel; and outputting the recognition text by the speech translation model. According to the invention, the training difficulty of the speech translation model is reduced and the training speed is improved.

The invention provides a real-time summary generating method for streaming data. Streaming data summary calculation is performed by employing the method of storing intermediate calculation results, and the phenomena of data shortage and damage, disorder and overlapping can be handled; the matrix multiplication is used as the strong Hash algorithm to reduce memory occupation, so that the method can calculate streaming data summaries in real time with less memory.

The invention is suitable for the field of multimedia information processing and provides a 3D (three--dimensional) video signal compression coding-decoding method, device and system. The compression coding method comprises the following steps: obtaining an odd pixel value or an even pixel value of a left eye video image and an odd pixel value or an even pixel value of a right eye video image of an original 3D video signal; and generating a hybrid video image according to the odd pixel value or even pixel value of the left eye video image and the odd pixel value or even pixel value of the right eye video image. The size of the newly generated hybrid video image is the same as that of the left or right eye video image so as to solve the problem of insufficient transmission bandwidth; and meanwhile, various frequency components of the left and right eye video images are completely preserved to reduce the distortion of the images, and the relativity of the left eye video image and the right eye video image is basically preserved so that the efficiency of coding and decoding the transmission format of the hybrid video image is high, and the compression ration is high.

The invention discloses a power generation and transmission multi-stage joint expansion planning method and system. The method comprises the following steps: reducing operation data with space-time characteristics by using a fuzzy clustering method to serve as a planned operation scene in a research period, and establishing a multi-objective and multi-stage power generation and transmission jointexpansion planning model for optimization by taking the full life cycle cost and cascading failure risk as economy and reliability targets and taking each horizontal year within a research year as a planning stage. According to the method, the economy and the operation reliability of the system are coordinated within the whole research period, a progressive expansion planning mode that a network source structure is matched with a load demand is formed, and a Pareto optimal solution set and a recommended staged expansion planning sequence can be obtained through optimization.

The invention provides an airplane three-dimensional attitude computation method. Firstly, preprocessing is carried out on an image to be processed by the adoption of Gaussian smooth filtering to eliminate influences of noise on follow-up algorithms; secondly, the smoothened image is segmented by the adoption of a fuzzy C-means clustering algorithm (FCM) to obtain a binary image, then Hough conversion is carried out on the binary image obtained through segmentation, a part, with obvious linear features, on a target is detected, feature points of the part, with non-obvious linear features, on the target are extracted by the adoption of a framework, and then linear fitting is carried out on the feature points on the framework to obtain a target axis; finally, the obtained axis, the actual size of the target, camera parameters and other information are combined, and a three-dimensional attitude parameter of the target under a camera coordinate system is calculated by means of projective geometry knowledge. On the basis of geometrical features capable of reflecting the structure of an object and by means of Hough conversion and framework extraction of the whole target image, the obtained axis is more accurate, and the obtained three-dimensional attitude parameter is more precise.

A JPEG image bitstream encryption method based on the change of AC statistical characteristics, the user selects the last non-zero AC coefficient entropy encoding in the part of the image block in the JPEG bitstream by the user key, and uses it as secret information through the histogram translation method It is hidden in the entropy coding of some image blocks, the statistical characteristics are obtained from the user key and the AC coefficient, the encryption key of the DC coefficient and the encryption key of the AC coefficient are adaptively generated, and the inter-group scrambling and differential coding iterative setting are performed on the DC coefficient respectively. Intra-block and inter-block scrambling of the AC coefficients; the receiver extracts the secret information from the encrypted bit stream and decrypts it, and recovers the DC coefficient and AC coefficient encryption keys from the user key and the statistical characteristics of the AC coefficients in the encrypted bit stream , and decrypt the AC coefficients and DC coefficients, restore the AC coefficient entropy coding in each image block entropy coding, and obtain the original bit stream. The method has high security and the encrypted file has a small extension.

The invention discloses a sleep physiological signal feature extraction method and system based on tensor complexity, comprising: collecting the sleep physiological signal and converting the polyconductive time series of the sleep physiological signal into a tensor representation; the sleep physiological signal is expressed as an N-order tensor , the N-order tensor is composed of N-order sub-tensors; judge the difference between the elements in each sub-tensor and each element in the global sub-tensor to determine the size of the N-order tensor approximate entropy, and use the tensor approximate entropy as sleep physiology The features of the signal extraction, the extracted features can accurately reflect the internal features of the sleep physiological signal data, and then achieve more accurate sleep staging in the subsequent classification processing.