Emc IP Holding Company LLC

Dell Products Inc.

Santak Electronic (Shenzhen) Co., Ltd.

Carrier Corporation

Otis Elevator Company

Eaton Intelligent Power Limited

Shanghai Huali Integrated Circuit Corporation

Shanghai Huali Microelectronics Corporation

Zing Semiconductor Corporation

Mann+hummel Filter (Shanghai) Co. Ltd.

Emc IP Holdinq Company LLC

Qiang Chen

Zhen Jia

Jiacheng Ni

Pedro Fernandez Orellana

Zijia Wang

Jinpeng Liu

Cheng Luo

Jiajie Duan

Jianxiong Yu

Danqing Sha

Jing Yu

Zhenzhen Lin

Han Li

Pengfei Wu

Sanping Li

Chao Wang

Si Ruo Chen

Yun Gang Li

Shenhong Wang

Haitao Zhou

BiChun Li

Jinde Gao

Jialong Wang

Guicai Zhang

Pedro Fernandez

Yu Zhang

Victor Fong

Bin He

Yan Zhao

Michael Robillard

Anzhou Hou

Naveen Rastogi

Xuwei Tang

Qirui Wang

Dongsheng Li

Nan Zhang

Hanyi Huang

Si Chen

Jiayang Xu

Yanrong Qiu

Yun Li

Xiaowu Li

Yanping Shi

Disclosed herein is a dual-active bridge converter and methods of operating the same. The dual-active bridge converter can include a transformer, a DC-AC converter, an AC-DC converter, and/or a control device. The DC-AC converter can be coupled to a first DC bus and a primary side of the transformer. The AC-DC converter can be coupled to a secondary side of the transformer and a second DC bus. The control device can send a first PWM signal to the DC-AC converter and a second PWM signal to the AC-DC converter. The first and second PWM signals can initiate the output voltage at zero, add jump edges at odd-numbered current harmonics, or make a phase of the input voltage trail a phase of the output voltage of the DC-AC converter. The control device can adjust the PWM signals for transformer current regulation or pulse overlap control.

Dual-active bridge converter and control method therefor

Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for data processing. The method may include receiving a data conversion strategy from a server. The method may further include determining, in response to receiving unstructured data from a field device, metadata of the unstructured data based on the received data conversion strategy to form a set of metadata. In addition, the method may include transmitting at least a part of the set of metadata to the server. According to embodiments of the present disclosure, edge computing can be performed on unstructured data, which not only enables timely processing of monitoring data, but also reduces computing load on the side of the server, thereby improving the user experience.

Method, electronic device, and computer program product for data processing

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for generating text content. The method includes determining a set containing a plurality of tokens based on a key. The method further includes based on the set, generating text content for indicating the key by a generative pre-trained model, wherein a source of the text content is verified by the text content. According to embodiments of the present disclosure, a unique watermark can be formed in the generated text content in a way that is not perceptible to a user, thereby identifying and verifying the source of the text content according to the formed watermark.

Method, electronic device, and computer program product for generating text content

A method in one embodiment includes acquiring a first public key and a first private key of a first user and a second public key and a second private key of a second user. The method further includes determining a first set from a glossary based on the first public key and the first private key, wherein the glossary is a set of a group of predefined tokens in a generative pre-training model. The method further includes determining a second set from the glossary based on the second public key and the second private key. The method further includes determining a set containing a plurality of tokens based on the first set and the second set. The method further includes generating text content by the generative pre-training model based on the set. According to embodiments of the present disclosure, a unique watermark can be formed in the generated text content.

Method, electronic device, and program product for generating text content for multi-party collaboration

A calibration method and system for virtual buttons, an elevator, and a storage medium. The method includes: receiving a first designation regarding a layout of the virtual buttons in a virtual keypad zone; receiving a second designation regarding a number of the virtual buttons; and determining a position of each of the virtual buttons in the virtual keypad zone according to the first designation and the second designation.

Calibration method and system for virtual buttons, elevator and storage medium

An apparatus comprises at least one processing device configured to determine, for a given batch to be executed utilizing at least one machine learning model, a number of requests to include based on an over-batching multiplier. The at least one processing device is also configured to allocate memory for processing the given batch, wherein an amount of memory allocated for at least requests in the given batch is less than that required for storage of a maximum output sequence length of the at least one machine learning model. The at least one processing device is further configured to execute the given batch utilizing the at least one machine learning model and, responsive to determining that at least one memory reallocation condition has been triggered during execution of the given batch, to adjust the allocation of the memory to one or more of the requests in the given batch.

Request over-batch processing for machine learning models

Embodiments of the present disclosure provide a method, a device, and a computer program product for updating a model. The method includes: determining a performance metric of a trained machine learning model at runtime; determining a homogeneity degree between a verification data set processed by the machine learning model at runtime and a training data set used to train the machine learning model; determining a type of a conceptual drift of the machine learning model based on the performance metric and the homogeneity degree; and performing an update of the machine learning model based on the type of the conceptual drift, where the update includes a partial update or a global update. In this way, a desired performance of the machine learning model can be maintained, while avoiding excessive time costs and computational resource costs caused by frequent global updates.

Method, device, and computer program product for updating model

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for video processing. The method includes: converting, based on a sample frame in a first video having a first resolution as well as a template, a first group of image frames in the first video that correspond to the sample frame to a second group of image frames that are more similar to the template. The method also includes: converting the second group of image frames to a third group of image frames having a higher resolution to generate a higher-resolution video. In this manner, low-resolution image frames can be first converted to image frames that are more suitable for resolution conversion, so that a high-resolution video of a higher quality can be obtained when reconstructing the high-resolution video.

Method, electronic device, and computer program product for video processing utilizing template and associated image conversion model

Embodiments of the present disclosure relate to a method, a device, and a computer program product for caching. The method includes determining whether a length of a to-be-processed token sequence is greater than a cache length threshold associated with a key-value (KV) data cache. The method further includes determining, in response to the length of the to-be-processed token sequence being greater than the cache length threshold, target KV data based on a token sequence exceeding the cache length threshold in the to-be-processed token sequence. In addition, the method further includes determining a target token based on the to-be-processed token sequence, the KV data cache, and the target KV data.

Method, device, and computer program product for caching

A ripple control method for a modular cascaded power conversion device is provided. The method obtains, according to a grid voltage vector of three-phase AC power, a second-order fluctuating voltage superposition vector representing the total amount of second-order fluctuating voltages on respective floating DC sides of the three phases; determines a single-phase power control amount of each phase to be transferred from the floating DC sides to a low-voltage DC side; determines a single-module power control amount of each power module to be transferred to a low-voltage DC side thereof; and generates a single-module control signal for controlling the power module, so as to transfer a second-order fluctuating voltage on a floating DC side of the power module to the low-voltage DC side thereof. A modular cascaded power conversion device is also provided.

Ripple control method for modular cascaded power conversion device

A method of failure analysis for locating open circuit defect in a metal layers, comprising: providing a chip sample having a metal layer, with an open circuit defect; delaminating the chip to expose the metal layer; depositing a metal conductive layer on the metal layer; removing a portion of the metal conductive layer to expose the metal layer; depositing a non-conductive protective layer to cover the exposed metal layer and any remaining portions of the metal conductive layer; preparing a TEM slice sample which comprises the metal layer, the remaining portions of the metal conductive layer, and the non-conductive protective layer; performing a VC analysis on the TEM slice sample to determine the defect position of the open circuit defect; and analyzing the defect position of the open circuit defect.

Method of failure analysis for defect locations

A method in an illustrative embodiment includes: obtaining an initial state of a group of dedicated processing resources; determining, in response to a request for receiving a group of tasks, a set of candidate allocations each indicating allocation of the group of tasks to the group of dedicated processing resources; determining, based on the initial state, an operating state of the group of dedicated processing resources when executing the group of tasks according to each candidate allocation in the set of candidate allocations; and selecting a target allocation from the set of candidate allocations based on the operating state to enable the group of tasks to be executed on the group of dedicated processing resources according to the target allocation.

Method, electronic device, and computer program product for task allocation utilizing reinforcement learning model

The present invention provides an auxiliary pre-charging device for a power converter. The power converter includes at least one power unit with an input end being connected to a medium and high voltage AC power source, and an output end being connected to a low voltage DC bus, wherein the auxiliary pre-charging device includes a switch, a transformer, a pre-charging resistor, and a rectifier sequentially connected in series, one end of the switch is connected to the medium and high voltage AC power source, and an output end of the rectifier is connected to the low voltage DC bus. The present invention also provides a pre-charging method for a power converter, which uses the aforementioned auxiliary pre-charging device to start pre-charging at the low-voltage output end of the power converter.

Auxiliary pre-charging device of power converter, pre-charging method and power converter

A method in an illustrative embodiment includes determining that a first object authenticated by an electronic device is accessing the electronic device. The method further includes, in response to a second object being detected within a detection range using a radar of the electronic device, determining, based on a detected signal, that the second object is a person. The method further includes determining a distance and an angle between the second object and the electronic device based on an azimuth signal in the detected signal. The method further includes in response to determining that the distance is less than a distance threshold and the angle is less than an angle threshold, determining, based on the biological feature signal, whether the second object is trustworthy. The method further includes deauthenticating the first object in response to determining that the second object is untrustworthy.

Method, electronic device, and computer program product for monitoring authentication based on radar

Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for data processing. In a method for data processing, a first electronic device processes data based on a first data processing model to generate an initial result. A data size of the initial result is smaller than a data size of the data. The first electronic device sends the initial result to a second electronic device. The initial result is adjusted at the second electronic device and based on a second data processing model to generate an adjusted result. The second electronic device has more computing resources than the first electronic device, the second data processing model occupies more computing resources than the first data processing model, and an accuracy of the adjusted result is higher than that of the initial result.

Method, electronic device, and computer program product for data processing utilizing separable multi-stage data processing model in edge-cloud network

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Shanghai, China

Qiang Chen