48results about How to "Accurate answer" patented technology

A data converter for a lighting system, has a data input for the data converter to communicate with a central control device of the lighting system, a data output for the data converter to communicate with lamp operating elements, and an evaluation unit for evaluating the data received from the central control device and for controlling and monitoring the functions of the lamp operating elements. The data converter permits an enlargement of the number of the lamp operating elements, in the lighting system, that can be monitored by the central control device.

A new and useful updating tool is provided for indexing electronic text in a highly integrated electronic text indexing and search system. The integrated system encompasses a concept model, a query model, an enhanced markup tool, a user interface, and a search engine. A domain expert utilizes the integrated system to efficiently and effectively indexing electronic text for precise and fast retrieval by a search engine. The updating tool aids the indexing process as a consequence of changes in the query model, to an indexed document, or both. The updating tool comprises a document change tool and a query model change tool as well as an enhanced markup tool and an enhanced query model tool. The updating tool guides the domain expert by suggesting which indices need to be updated and flags index entries that need to be removed.

As file systems reach the petabytes scale, users and administrators are increasingly interested in acquiring high-level analytical information for file management and analysis. Two particularly important tasks are the processing of aggregate and top-k queries which, unfortunately, cannot be quickly answered by hierarchical file systems such as ext3 and NTFS. Existing pre-processing based solutions, e.g., file system crawling and index building, consume a significant amount of time and space (for generating and maintaining the indexes) which in many cases cannot be justified by the infrequent usage of such solutions. User interests can often be sufficiently satisfied by approximate (i.e., statistically accurate) answers. A just-in-time sampling-based system can, after consuming a small number of disk accesses, produce extremely accurate answers for a broad class of aggregate and top-k queries over a file system without the requirement of any prior knowledge. The system is efficient, accurate and scalable.

The invention discloses a telephone robot speech recognition result correction method based on deep learning. The correction method comprises the following steps: obtaining a pinyin sentence text dataset Sp and a correct sentence text sample set Sc based on a historical speech data set; establishing a correction model by adopting deep learning; establishing the correction model comprises an encoder part construction based on a multi-head attention model and a feedforward neural network and a decoder part construction based on two stacked multi-head attention models and a feedforward neural network; training the established correction model based on the correct sentence text sample set Sc; and inputting a speech recognition result to be corrected into the trained correction model after being processed by a vectorization procedure to obtain a corrected text. The telephone robot speech recognition result correction method based on deep learning fully utilizes historical recording data resources, trains a speech recognition result correction model, and efficiently recognizes and corrects the speech in an unquiet environment and under the conditions of low speech recognition precisionsuch as a plurality of different speaking modes, pronunciation accuracy, sound receiving capability and the like.

An electronic memory device in which a user can customize the keys on a keypad, record the occurrence of and information related to an unscheduled medical event or a scheduled medical event, for example, the taking of medication, and set a predetermined time interval between scheduled medical events. The keys are customizable so that the user can identify specific medications or specific symptoms. The device can be in the form of a personal digital assistant-based memory pad having icon keys so that the user can easily enter data, and an electronic pen for activating the on-screen icon keys.

A system for automatically handling requests to grant or deny access to resources in a network or computer system. In a preferred embodiment of the invention a “learning mode” can be designated so that whenever a permission query is detected the system automatically supplies an answer to the query without requiring the user to make a response or take other action. The automated answer can be set so that the permission is always granted or other criteria can be used for the automated answer such as by categorizing the type of access permission and using a default response according to the category.

The invention relates to a consultation data recommendation method and device, computer equipment and a storage medium. The method comprises a step of acquiring a current question to be answered and performing word segmentation, extracting feature words according to a word segmentation result, and obtaining a first feature word set corresponding to the current question to be answered, a step of acquiring a second feature word set corresponding to each index node in a pre-established index, a step of calculating a cosine similarity between the first feature word set and the second feature wordset, sorting each index node according to a first similarity calculation result to select a preset number of index nodes as target index nodes, and obtaining a target index node set, a step of obtaining a question and answer pair corresponding to each target index node from an inquiry database, and a step of calculating a second similarity between the current question to be answered and a questioncorresponding to each question and answer pair, sorting each question and answer pair according to a second similarity calculation result to select a target question and answer pair, and recommendingconsultation data according to the selected target question and answer pair.

The method and system include presenting a user with a plurality of questions, timing the user's response time for the plurality of questions, identifying an optimal answer time where the user is able to answer a maximum percentage of questions correctly, and informing the user of the optimal answer time. An embodiment of the method may also include providing the user with a suggested change in an actual time taken to answer a question. Certain embodiments may also include weighting the chance of receiving a question in a particular topic based on the user's past performance in answering questions in that topic.

The invention belongs to the field of medical health and artificial intelligence, and particularly relates to a personalized precise medical question answering system based on data and knowledge. The invention aims at solving the problems that in the prior art, pertinence and real-time performance are not achieved, the data utilization rate is low, and user problems cannot be efficiently and accurately understood, and a problem that real-time deep-level accurate medical question answering cannot be realized for individuals. The system comprises a personal health data module which obtains personal health data of a user; a user question understanding module which sequentially carries out word, syntactic and semantic analysis on user questions after preprocessing the user questions; an efficient knowledge graph module which performs knowledge extraction, knowledge fusion, knowledge storage and knowledge calculation on the knowledge base to construct an efficient knowledge graph; and an intelligent medical service module which performs user health data management and health monitoring through semantic matching and knowledge reasoning, performs online hospital guide on problem information, assists the decision making and generates response information. The method has the advantages of pertinence, real-time performance, high data utilization rate and high accuracy.

Provided are systems and methods related to converting unlabeled data into structured and labeled data for answering one or more single-entity-single-relation questions. The systems and methods automates the labeling of data to generate training data for machine learning. The systems and methods identify and import question and answer pairs from an user generated discussion platform and access a knowledge base questions to extract questions by supervised extraction. The extracted questions are further filtered to remove mislabeled questions. When a question is posed, it is parsed for entity and relation, and an answer is identified by searching through the knowledge base.

The present invention provides a method for verifying a verification code and a system thereof. The method comprises the a step of obtaining the relationship chain information of a user from a user information database and selecting verification information from the relationship chain information and generating a verification code according to the verification information and preset disturbance information, a step of sending the verification code to the client that a user logged, and a step of obtaining the response information returned by the client and verifying the response information according to the relationship chain information. According to the technical scheme, a low crack rate is ensured, artificial code can be effectively fought based a low user application threshold, and the artificial code problem is thoroughly solved.

A game and a method of playing a game are provided that teach the concepts necessary for a polished musical performance. In one embodiment, the game comprises a game board that provides a path of movement for a playing pawn controlled by each player. The path of movement comprises a plurality of areas or “stores”, each store designating a different category of music theory. The game also comprises means for directing each player as to how to move their respective playing pawn along the path of movement and into each of the plurality of stores. An object of the game is to successfully move a playing pawn into each one of the series of stores and correctly answer music theory questions relevant to the category of music theory covered by that store. In case the player does not have adequate understanding of a particular music category designated by a store, a separate game is provided to further develop the player's understanding of the category. Each separate game is played differently and apart from the board game and with different playing pawns, rules, etc. According to this method, students can, at separate times, play the individual games to help develop proficiency in those areas.