Abstract: The present disclosure provides a self-adaptive test method for an intelligent prediction algorithm of analog measured values. Firstly, an event recording sequence, an analog measurement point ID and an analog measurement point alarm value are read from a time sequence event record table, an analog measurement point table and an alarm threshold table. Next, operation records of a normal operation state of a unit within a statistical cycle are acquired to form historical statistics of measured values of the analog measurement point based on switching value signals. Then, simulated measured values of the analog measurement point with time scales are calculated based on the historical statistics, the analog measurement point alarm value and an analog measurement point current measured value. Finally, sensitivity is calculated; and an alarm is sent to remind a technician to adjust the algorithm when the sensitivity is greater than a threshold.

Abstract: A translation method, a translation apparatus, a translation device, and a storage medium are provided. The method includes: firstly, determining the second source sentence semantically similar to the first source sentence, then determining the target source word used in both of the first source sentence and the second source sentence, and if translated words for the target source word in the first source sentence and the second source sentence are different, determining the target translated word for the target source word according to the probability of the target source word being translated into the first translated word or the second translated word. Thus, the translation method uses not only the information of a second translated sentence for the second source sentence but also the information of the second source sentence. The translation of the first source sentence is corrected according to the information of similar words.

Abstract: A training method for a speech translation model, a speech translation method, an apparatus, and a device are provided. The training method includes: after entering a model training phase, controlling the speech translation model to execute a speech translation training task; controlling the speech translation model to simultaneously execute an auxiliary training task of the speech translation training task; and adjusting network parameters of the speech translation model according to the speech translation training task and the auxiliary training task, so as to obtain an updated speech translation model after training.

Abstract: A method, apparatus and electronic device for information processing. The method includes: obtaining a first hidden state vector obtained by inputting information to be translated that is expressed in a source language into a pre-trained first translation model, and a first probability distribution that the first hidden state vector is predicted as respective words in a predetermined vocabulary; obtaining, from a vector index library of a target language, at least one of target index term that satisfies a predetermined condition with the first hidden state vector; determining a second probability distribution that the second hidden state vector is predicted as the respective words in the predetermined vocabulary; determining a second probability distribution of the second hidden state vector; fusing the first and second probability distribution to obtain a fusion probability distribution; and determining a translation result with the fusion probability distribution.

Abstract: An output end of a power converter is connected to a microgrid bus, and the microgrid bus is connected to an external power grid through a grid-tied switch. When detecting that a power grid fails, the power converter is in a first current source control mode. After a duration of the power grid failure reaches a first duration, the power converter switches from the first current source control mode to a first voltage source control mode. The first current source control mode is a current source failure ride-through control mode. The first voltage source control mode is a voltage source failure ride-through control mode. The first duration is less than a second duration, and the second duration is a time interval between a moment at which the power grid fails and a moment at which the grid-tied switch is turned off.

Abstract: A quantization method and apparatus for a text feature extraction model, and a device and a storage medium. The method includes: in a training process of a text feature extraction model, determining, according to a target quantization parameter, a quantization interval corresponding to the target quantization parameter, where the quantization interval includes a part of floating-point values of the target quantization parameter; constructing a mapping relationship between floating-point values and fixed-point values of the target quantization parameter based on the quantization interval, where a floating-point value smaller than a left end point of the quantization interval—is mapped to a quantized minimum fixed-point value, and a floating-point values larger than a right end point of the quantization interval is mapped to a quantized maximum fixed-point value; and performing a quantization operation on the target quantization parameter based on the mapping relationship.

Abstract: This disclosure relates to a text processing method, a training method for text processing and related devices, and relates to the field of natural language processing. The text processing method includes: filtering one or more target words with highest first attention scores from words in a piece of text using a first attention layer of a text processing model; calculating second attention scores of the target words using a second attention layer of the text processing model; and obtaining a processing result of the text from the processing model based on the second attention scores of the target words.

Abstract: Method for predicting the overall hydraulic performance of a sink-type dishwasher. Process begins with unsteady numerical computation on a dishwasher pump under static conditions to obtain a characteristic pump curve. Using this curve, rotation velocity adaptation coefficient (Ad) and axial velocity coefficient (Bd) are determined. Mapping relationship is established between composite superposition virtual impeller and composite impeller. Passive rotation velocity of the volute and the nozzle flow rate are calculated using GMO model and virtual impeller. A jet mass source is established, using the nozzle flow rate and the volute's passive rotation velocity as boundary conditions. This leads to a non-submerged rotating jet flow computation with a multi-nozzle setup using the VOF method.

Abstract: Embodiments of the present disclosure relate to a translation processing method and apparatus, a device and a medium. The method comprises: generating a multilingual representation model by training according to a monolingual corpus of each language among a plurality of languages, and generating a multilingual generation model according to the monolingual corpus of each language; concatenating the multilingual representation model and the multilingual generation model with a first translation model respectively to generate a target model to be trained; and generating a second translation model by training the target model according to a bilingual corpus among the plurality of languages, and performing translation processing on target information to be processed, according to the second translation model.

Abstract: A vehicle detection system warns snowmobilers of other approaching vehicles with potential risk of collision. To better prevent accidents, the system calculates collision risks and warns the rider based on level of risk. When riding in groups, a member can press a stop request button to ask the group to slow down. When a member exits the group, everyone in the group will receive a message, alerts or indication with the update. The vehicle detection system utilizes Bluetooth® low energy (BLE), LoRaWAN® technologies and/or global positioning system technologies and is designed to detect other devices in the region and use acquired information to calculate proximity and risk of collision.

Abstract: Provided are a method and apparatus for translating words in a picture, an electronic device, and a storage medium. The method includes: recognizing words embedded in a target picture to obtain at least one text line, each of which corresponds to one line of words; perform paragraph combination on the at least one text line to obtain at least one text paragraph; translating the at least one text paragraph into at least one target text paragraph in a specified language; and replacing the words in the target picture with the at least one target text paragraph.

Abstract: Provided are a model training method and apparatus, a machine translation method and apparatus, a device, and a storage medium. The model training method includes the steps described below. Through a neural network pruning technique, a respective influence degree of each parameter in multiple parameters in a first translation model on a translation result in a first field is determined to obtain at least one first parameter and at least one second parameter. By using the first corpus of the first field, the at least one first parameter is trained obtain the second translation model, and the at least one second parameter remains unchanged. Similarity between a translation result of the second translation model in the first field and a translation result of the first translation model in the first field meets a preset condition.

Abstract: Provided are a speech translation method, a device, and a storage medium. The method includes: extracting, through an encoder of an end-to-end speech translation model, the semantic feature of a to-be-processed speech; decoding, through a decoder of the end-to-end speech translation model, a source language text corresponding to the semantic feature from the semantic feature; decoding, through the decoder of the end-to-end speech translation model, the semantic feature according to the source language text to obtain a text sequence corresponding to the semantic feature; and splitting the text sequence to obtain a target language text corresponding to the to-be-processed speech.

Abstract: This application discloses an information conversion method and apparatus, a storage medium, and an electronic apparatus.

Abstract: A video translation method includes: converting speech in a video to be translated into text; displaying the text and first time information, second time information, and a reference translation of the text; in response to an operation by a user on the text or the reference translation, displaying an editing area supporting the user inputting a translation; following input by the user, providing a translation suggestion from the reference translation; when a confirmation operation by the user for the translation suggestion is detected, using the translation suggestion as a translation result and displaying the same; when a non-confirmation operation by the user for the translation suggestion is detected, receiving a translation inputted by the user which is different from the translation suggestion, using the inputted translation as a translation result and displaying the same, and updating the reference translation in a translation area according to the inputted translation.

Abstract: Embodiments of this application include an information conversion method for translating source information. The source information is encoded to obtain a first code. A preset conversion condition is obtained. The preset conversion condition indicates a mapping relationship between the source information and a conversion result. The first code is decoded according to the source information, the preset conversion condition, and translated information to obtain target information. The target information and the source information are in different languages. Further, the translated information includes a word obtained through conversion of the source information into a language of the target information.

Abstract: Provided are an interactive machine translation method and apparatus, a device, and a medium. The method includes: acquiring a source statement input by a user; translating the source statement into a first target statement; determining whether the user adjusts a first vocabulary in the first target statement; and in response to determining that the user adjusts the first vocabulary in the first target statement, acquiring a second vocabulary for replacing the first vocabulary, and adjusting, based on the second vocabulary, a vocabulary sequence located in a front of the first vocabulary and a vocabulary sequence located behind the first vocabulary in the first target statement to generate a second target statement.

Abstract: Provided are a speech translation method and apparatus, an electronic device and a storage medium. The method includes: acquiring a source speech corresponding to a to-be-translated language; acquiring a specified target language; inputting the source speech and indication information matched with the target language into a pre-trained speech translation model, where the speech translation model is configured to translate a language in a first language set into a language in a second language set, the first language set includes a plurality of languages, the first language set includes the to-be-translated language, the second language set includes a plurality of languages, and the second language set includes the target language; and acquiring a translated speech corresponding to the target language and output by the speech translation model; where the to-be-translated language is different from the target language.

Abstract: A one-piece clamp assembly for a window covering is disclosed. The window covering consists of a left side portion and right side portion connected to a moveable hinge portion. The left side portion comprises a plurality of rounded extrusions and at least one vertical rounded extrusion that securely mates into a hole or slot on the right side portion. The left side portion further comprises extruded walls that mate with single and double spikes found on the right side portion. The extruded portions and mating spikes provide for a secure connection of the clamp assembly to the window covering. A connecting slot is placed on either the left or ride side portion, enabling the clamp assembly to fasten to a head rail fastener of a window covering.

Abstract: A document translation method includes: displaying a source text display region, a translated text region, and an editing region, wherein textual content in a document to be translated is displayed in the source text display region, and reference translated text for the textual content is displayed in the translated text region; and providing a translated text recommendation from the reference translated text according to input from a user within the editing region. The method further includes: displaying the translation recommendation in the editing area as a translation result, if a confirmation operation for the translation recommendation is detected; and receiving a translation inputted by the user that is different from the translation recommendation and displaying the translation inputted by the user in the editing area as the translation result, if a non-confirmation operation for the translation recommendation is detected.