861results about How to "Fully understand" patented technology

The invention discloses a ground station of a universalized configurable unmanned aerial vehicle, belonging to the technical field of unmanned aerial vehicle control. The ground station comprises a task planning module, a HOTAS (Hands on the Throttle and Stick) and pedal manipulation data acquisition module, a voice identifying and alarming module, an electronic flying information module and a multi-point touch module which are deployed on a computer A, and a flying information communication module, a training communication module, an aircraft adapting module, a databank module, a voice and video acquisition module and a 3D (Three-dimensional) view display module which are deployed on a computer B. On the basis that the psychological and physiological characteristics of a unmanned aerial vehicle manipulator are considered, the comprehensive problems of flying control and task control, and the problems of three-dimensional information sensation and fatigue caused by long-time operation are solved well; the universalization of the ground station of the unmanned aerial vehicle is realized; and the repeated construction is reduced.

The invention discloses a Chinese network review emotion classification method based on an integrated study frame. According to the method, a part-of-speech combination mode, an order-preserving sub-matrix mode and a frequent word sequence mode are adopted as input characteristics, in the level of characteristics, factors of the influence of Chinese word order information, interval phrase characteristics and the sentence length are considered, and the characteristic vector sparsity problem is solved through semantic similarities; the problem that many review text characteristics exist is solved, the inter-base-classifier independence is guaranteed, and the classification performance of base classifiers is improved as much as possible; a base classifier algorithm constructed based on product attributes is adopted to comprehensively review emotion information of each attribute in a text, and then the sentence-level emotional tendency of reviews is judged, so that a final classification result is more accurate. The Chinese network review emotion classification method based on the integrated study frame is applicable to e-commerce network review emotion classification in various fields, can make a potential consumer know evaluation information of a commodity before purchase and can also make a merchant better sufficiently know the consumer's opinion, and therefore the service quality is improved.

Typical known methods for producing large quantities of concentrated extracts from solid raw materials such as ground, roasted coffee are not ideally suited to producing high quality coffee extracts that are rich in flavor and fragrance, and which maintain the varietal characteristics of the roasted coffee from which they are produced. The current invention provides filtration methods e.g. reverse osmosis or nanofiltration for producing such high quality concentrated extracts from more dilute extracts via solvent removal. The invention provides methods that have sufficient flexibility and scalability to be used for a wide variety of applications, including for producing industrial—scale quantities of extracts for the food and beverage industry. The invention provides methods and apparatus that can produce highly concentrated, “gourmet quality” extracts for use as flavoring agents, beverage concentrates, and fragrances. The solvent—reduced, concentrated extracts produced according to the inventive solvent removal methods can be advantageously used for applications where high quality coffee extracts, with a high concentration of soluble coffee solids, for example of at least 6 wt. %-40 wt. %, and a high level of retention of varietal flavor and fragrance characteristics are desired.

The embodiment of the invention provides an input method and device and electronic equipment. The input method comprises the following steps: obtaining text information on an input cursor, wherein the text information comprises above text information in front of the input cursor and / or below text information behind the input cursor; extracting key words from the text information; searching an associative candidate lexicon of the key words; obtaining an on-screen candidate word queue on the input cursor; outputting the on-screen candidate word queue. According to the input method, by obtaining the text information on the input cursor, and determining the screen candidate word queue on the basis of the key words in the text information, the problem in the prior art that on-screen candidate words cannot be associatively given due to the fact that a screen vocabulary entry cannot be obtained after the position of the input cursor changes is solved.

The invention discloses a processing method and a device for searching of a natural language by remote sensing data. The method comprises the following steps: S1, inquiry statements of a user are segmented, and to-be-processed keywords are extracted from the segmented inquiry statements; S2, semantic digging is conducted to the to-be-processed keywords so that keyword groups in a standard format are obtained; and S3, semantic analysis is conducted to the keyword groups so that condition groups are obtained so as to serve as conditions for searching remote sensing data. According to the processing method and the device for searching of the natural language by the remote sensing data, a natural inquiry language of the remote sensing data is processed, the defects that an ordinary natural language has a disadvantage in analysis of a processing method, the natural inquiry language statements can be understood effectively and converted to inquiry condition groups corresponding to user intents, and therefore the problem in the prior art can be solved.

The invention discloses a short text automatic abstracting method and system based on double encoders, belongs to the technical field of information processing, and is characterized by comprising thefollowing steps: 1, preprocessing data, 2, designing a double encoder with a bidirectional recurrent neural network, and 3, arranging an attention mechanism fusing global and local semantics 4, arranging a decoder with empirical probability distribution and using a decoder designed by adopting a double-layer unidirectional neural network; 5, adding word embedding characteristics, 6, optimizing word embedding dimensions, and 7, carrying out preprocessing and testing on the news corpus data from the Sogou laboratory, substituting the news corpus data into a Seq2Seq model with double encoders andaccompanying empirical probability distribution to carry out calculation, and carrying out experimental evaluation through a text abstract quality evaluation system Rouge. According to the invention,traditional weaving is carried out; and the decoding framework is subjected to optimization research, so that the model can fully understand text semantics, and the fluency and precision of text abstracts are improved.

Defects of a belt-like polarizing film are detected by using a defect inspection device (S2), and, based on the detection results about the defects, defect position data for indicating the positions of the defects is created and stored in a storage medium (S3), and the belt-like polarizing film is taken up on a roll (S5). Then, the belt-like polarizing film is wound off from the roll (S6), and other film is stacked on the belt-like polarizing film (S7). After stacking the other film, the defect position data stored in the storage medium is read in to identify the positions of the defects in the polarizing film based on the read-in defect position data (S8). Based on the identified positions of the defects, marks are formed near the positions of the defects on the other film (S9). Consequently, marks can be formed near the positions of the defects detected by the defect inspection device without making unusable a portion of the polarizing film which contains only the acceptable defects out of the defects detected by the defect inspection device.

A seat base extension system adapted for use with a seat defining a support length, and including an active-material based actuator configured to cause or enable the support length to be extended and retracted.

The invention discloses a wearable NIRS-EEG based schizophrenia early detection evaluation system. The system comprises an NIRS-EEG bimodal cerebral function monitor device, a mobile intelligent terminal and a network server, wherein the NIRS-EEG bimodal cerebral function monitor device is used for acquiring cerebral function information of schizophrenia patients or healthy persons in real time by adopting NIRS and EEG technologies, and transmitting the cerebral function information to the mobile intelligent terminal through bluetooth signals; the mobile intelligent terminal is used for uploading data to the network server for data processing via mobile internet; and the network server is used for saving the processed data, generating a corresponding diagnosis result, and feeding back to the mobile intelligent terminal for data waveform display. The system has the advantages of accurate detection evaluation result and extremely low power consumption, and can be used for quickly and conveniently performing early detection and disease early warning for schizophrenia patients and providing scientific and reasonable guidance for nursing schizophrenia patients, so that pains and psychological burden of schizophrenia patients and family members thereof can be reduced.