15 results about "Input technology" patented technology

The invention discloses an 18-key pinyin input method and device, electronic equipment and a medium, and belongs to the technical field of computer character input. An existing Chinese input method has the defects that the keys are too dense, mistaken touch is prone to occurring, the repeated code rate is high, spelling is inconvenient and the like, and input efficiency is affected. The design that the initial consonant area and the final area are separated is adopted, nine keys are arranged, left-hand and right-hand division input is achieved, conflicts are reduced, and the spelling speed is increased; the initial consonant area key corresponds to two letters, the final area key corresponds to a single letter, and a user-defined key is reserved as a delete key. The character prompt area is provided with double-row display, so that pinyin combination results can be prompted conveniently. Besides the alphabet area, functional keys such as Chinese-English / simple-complex switching, punctuation, emoji, number, space and return are further configured, the function of triggering extension by long pressing is supported, the input position can be moved by long pressing of the space key, and voice input can be performed by long pressing of the return key. By optimizing the number, distribution and interaction mode of the keys, the input efficiency and the operation comfort are both considered, the false touch rate is remarkably reduced, and the Chinese input experience on the mobile equipment is improved.

Technologies are described herein for refining, using visual media inputs, generative artificial intelligence (AI) model outputs that include item descriptions. In some implementations, a method includes receiving, from a first device, a component list for an item that is to be included in a menu of items, the list including multiple components. Using a first generative AI model, a text natural language response is generated that includes a description for the item based on the component list. The text natural language response and visual media data of the item are provided to a second generative AI model that modifies the description for the item in the text natural language response based on detection of at least one component in the visual media data. The modified description is provided to the first device for inclusion in the menu of items.

The invention discloses a data center operation and maintenance suggestion generation method based on a multi-modal input technology, and the method comprises the steps: carrying out the interaction with a user, and receiving the input; the drawing information and the sensor installation position are converted into semantic information capable of being understood by a large language model based on the multi-modal technology, and if the information is insufficient, recording is carried out; cleaning the data collected by the sensor and generating an abstract; constructing a first cue word, inputting the first cue word into a large language model, and generating temperature distribution and air supply condition analysis; inquiring adjustable and controllable equipment in the room and a control range of the adjustable and controllable equipment; in combination with the analysis and control information, constructing a second cue word, inputting the second cue word into the large language model again, and generating an operation and maintenance optimization suggestion; and finally, respectively sorting the room information with the successfully generated suggestions and the information of the failed rooms into structured files and feeding back the structured files to the user. According to the method, drawings, sensors and equipment control information can be fused, intelligent analysis and suggestion generation are performed through a large language model, and efficient, intelligent and low-threshold data center operation and maintenance support is realized.

The invention discloses a letter fly input system, and relates to the technical field of computer input. The system inherits the advantages of an existing mainstream input method, a 36-key Dvorak real keyboard serves as a hardware basis, and slender rectangular touch screens are additionally arranged on the left side and the right side to replace traditional control keys and mouse functions; a three-in-one framework of'hardware reconstruction + semantic innovation + modal collaboration 'is constructed on the software level, an existing mainstream input method lexicon and a coding engine are reused, candidate words of multiple input methods are displayed in a partition mode through a 9 * 9 large-capacity word window, and cross-scheme word selection can be achieved without switching modes; a'specific word-cue word-choice box 'linkage mechanism is innovated, a functional module is triggered by a specific word easy to remember an initial, and operations such as application control and website access are realized in cooperation with cue word numbers; and cross-device adaptation of the PC and the mobile phone end and sharing of configuration and lexicon data are supported. According to the system, the problems that a traditional keyboard is poor in portability, switching of multiple input methods is tedious, and the function and portability are contradictory are solved, integration of character input and application control is achieved, the operation efficiency and cross-device experience are improved, and the system is a significant upgrade of an existing input method.

The present disclosure generally relates to managing input devices. In some embodiments, keyboards are resized. In some embodiments, visual feedback of an audio input is provided.

Technologies are described herein for refining, using visual media inputs, generative artificial intelligence (AI) model outputs that include item descriptions. In some implementations, a method includes receiving, from a first device, a component list for an item that is to be included in a menu of items, the list including multiple components. Using a first generative AI model, a text natural language response is generated that includes a description for the item based on the component list. The text natural language response and visual media data of the item are provided to a second generative AI model that modifies the description for the item in the text natural language response based on detection of at least one component in the visual media data. The modified description is provided to the first device for inclusion in the menu of items.

This invention provides a visually guided touch typing training method, device, storage medium, and program product, relating to the field of computer input technology. The method includes: dividing a display screen into a character prompt area and a finger guidance area; the character prompt area is located in the user's visual center region, and the finger guidance area is located in the user's peripheral visual perception region; displaying the target input character in the character prompt area and displaying a visual guidance signal in the finger guidance area, the visual guidance signal indicating the target finger and / or the direction of movement of the target finger required to input the target input character; receiving the actual input character generated by the user through a physical keyboard, and providing touch typing feedback to the user based on the actual input character and the target input character. This invention transforms touch typing training from an inefficient process that relies on visual input and lacks finger guidance into an efficient process that effectively eliminates visual dependence and provides intuitive finger guidance, thereby improving the efficiency of touch typing training.

The utility model provides an input device relates to input technical field. The input device includes panel and support. Among them, support supports panel, and panel has at least one key group, and each key group includes two opposite setting keys. On this basis, panel and / or support are provided with a plurality of limit structure. For the same key group, in the case that any key is pressed to cause panel rotation, the limit point away from the pressed key forms the pivot of the panel, the pivot is located between the two keys, and the distance between the pivot and the pressed key is greater than the distance between the pivot and the other key. Based on this, the input device provided by the utility model can ensure that the key opposite to the pressed key is almost not raised, thereby making the user's touch feeling more stable and reducing the discomfort caused by the key raising.

System for analyzing technical intellectual property documents using AI, comprising: a) input of a technical description, b) generation of a semantic representation, c) comparison with existing intellectual property rights, d) evaluation and output of the similarity.

The invention relates to the field of cooperative man-machine interaction, in particular to a cooperative man-machine interaction method based on an intelligent console, and the method comprises the steps: determining the construction of an intention association graph through a preset low-code node configuration interface based on a target cooperative technology scene; matching a basic configuration template according to the role ID, loading a corresponding intention form, and inputting technical information according to an intention form field; counting the number of intersection nodes among the role intention attribute nodes, calculating an intersection rate, and generating a resonance difference node matrix; and filling a difference node analysis result, generating a difference table, and pushing task nodes to all associated roles. Related nodes are abstracted into visual components by relying on a low-code node configuration interface, intention association graph construction can be completed without compiling bottom layer codes, non-technical personnel can adjust node attributes and association rules through interface operation, different collaborative scenes can be rapidly adapted, the configuration period is shortened, and maintenance is convenient.

This invention discloses a method and apparatus for active support simulation evaluation of distributed photovoltaic-storage substations in microgrid clusters, belonging to the field of simulation evaluation technology. The method includes the following steps: acquiring multi-source data of the distributed photovoltaic-storage substations in the microgrid cluster through multi-source sensing devices and data input technology; building a dynamic simulation model of the microgrid cluster with source-storage-load-grid collaboration; obtaining active support simulation evaluation indicators for the microgrid cluster; setting multi-scenario simulation operating condition parameters for the distributed photovoltaic-storage substations in the microgrid cluster; and then obtaining an overall dynamic simulation model of the distributed photovoltaic-storage substations in the microgrid cluster. This enables the construction of a visual simulation evaluation platform and outputs the final active support simulation evaluation report. This invention, through the close integration of multi-source data fusion technology, source-storage-load-grid collaborative modeling technology, 3D modeling technology, and modern information technology, achieves real-time and comprehensive monitoring of the operating status, load characteristics, power flow, and environmental impact of the distributed photovoltaic-storage substations in the microgrid cluster.

This application belongs to the field of intelligent input technology, specifically relating to a method, apparatus, and computer-readable storage medium for labeling adjacent key mis-touch information. The method includes: acquiring log information generated by a user inputting information via a keyboard; parsing the log information to obtain target information corresponding to the same input cycle, wherein the target information includes typed information and on-screen information; acquiring the information type corresponding to the typed information and determining target rules based on the information type; performing adjacent key mis-touch analysis on the target information according to the target rules, and labeling adjacent key mis-touch information based on the analysis results, so as to train an adjacent key mis-touch recognition model based on the labeled adjacent key mis-touch information. This application can achieve automated labeling of adjacent key mis-touch information, shortening the information labeling time, reducing mis-labeling caused by manual labeling, accelerating the iteration speed of the adjacent key mis-touch recognition model, and improving the model's accuracy and input accuracy.

The invention relates to the technical field of information input, in particular to a handwriting input method, augmented reality equipment and a storage medium, the method is applied to the augmented reality equipment, and the augmented reality equipment comprises a detection device. According to the embodiment of the invention, the point cloud data of the hand of the user is sensed through the detection device, the writing area and the following pen point are accurately generated according to the point cloud data, the stroke sequence formed when the following pen point follows the fingertip of the user to write the character in the writing area is extracted, character recognition is carried out on the stroke sequence, and the handwriting input character is obtained. Therefore, the handwriting input characters in the augmented reality environment are achieved, good space immersion and naturalness are achieved, the interaction mode breaks through the limitation of a physical screen, and the interaction mode does not need to depend on touch type writing input equipment.

The invention relates a computer-implemented method for the identification of an issue in a technical system with the steps: a) entry as a first information a description of the issue in non-formal language (12), and b) entry as a second information at least one picture, photo, or video of at least a presumably affected part of the technical system (11), ) and mapping the received second information (14) on a knowledge graph (6) representing the technical system, c) analysis of the second information (20), and amending context of the technical system, d) generating output in technical unambiguous language (23) by a LLM (10), e) using output for evaluation of the to be identified issue (30, 40), f) generation of at least one possible solution for issue in technical language (41) and g) entry of possible solution and conversion by the LLM (10) generating an output (50).