Emc IP Holding Company LLC

Dell Products Inc.

Carrier Corporation

Otis Elevator Company

Eaton Intelligent Power Limited

Shanghai Huali Integrated Circuit Corporation

Santak Electronic (shenzhen) Co., Ltd.

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

Danqing Sha

Cheng Luo

Jiajie Duan

Jianxiong Yu

Jing Yu

Han Li

Pengfei Wu

Chao Wang

Si Ruo Chen

Zhenzhen Lin

Yun Gang Li

Haitao Zhou

Shenhong Wang

BiChun Li

Jialong Wang

Guicai Zhang

Jinde Gao

Pedro Fernandez

Yu Zhang

Victor Fong

Bin He

Yan Zhao

Michael Robillard

Anzhou Hou

Naveen Rastogi

Xuwei Tang

Dongsheng Li

Qirui Wang

Nan Zhang

Hanyi Huang

Jiayang Xu

Yanrong Qiu

Yun Li

Xiaowu Li

Yanping Shi

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

The present disclosure relates to a method, a device, and a program product for processing sample data in an Internet of Things environment. A method in one embodiment includes: receiving features of the sample data from an encoder deployed in a remote device in the Internet of Things environment; acquiring a category probability corresponding to the sample data based on a classifier deployed in a local device in the Internet of Things environment and the features; and classifying the sample data to a predetermined category in response to determining that the category probability satisfies a first threshold condition. Further, a corresponding device and a corresponding program product are provided. With example implementations of the present disclosure, computing resources of devices in an Internet of Things environment can be fully utilized to process sample data.

Method, device, and program product for processing sample data in internet of things environment

A communication network switching system for an elevator system, a communication network switching method for an elevator system, and an elevator system are disclosed. The communication network switching system includes at least two communication networks, and the at least two communication networks are respectively arranged in different areas of the elevator system and a building where the elevator system is located, and are configured to provide a communication link for a movable device in the areas, in which the communication network switching system is configured to enable the communication link of the movable device to be switched from one of the at least two communication networks to the other of at least two communication networks according to current movement characteristics of the movable device.

Communication network switching system and method for elevator system, and elevator system

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for video processing. The method for video processing includes receiving a first video with a first resolution from a first terminal device, the first video including an image of a first user. The method further includes converting the first video into a second video with a second resolution based on a computing model associated with the first user, the second resolution being higher than the first resolution. The method further includes sending the second video to a second terminal device. In this manner, only low-resolution videos need to be acquired and uploaded, and high-resolution videos can be obtained through reconstruction by using a computing model customized for video services, thereby ensuring that less bandwidth is occupied and improving the quality of the reconstructed videos.

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

Embodiments of the present disclosure provide a method, an electronic device, and a program product for image processing. In one embodiment, a method may include: at an edge node of a network, obtaining a first image generated based on data associated with a target event, wherein the first image has a first resolution ratio. Additionally, the method may further include: sending a second image converted from the first image to a terminal device, wherein the second image has a second resolution ratio higher than the first resolution ratio. According to the embodiments of the present disclosure, by rendering a low-resolution-ratio image at a cloud server and transmitting the image to an edge node or a terminal device for reconstructing a high-resolution-ratio image, the bandwidth and time delay of high-definition image transmission can be significantly reduced, so that the user experience is improved.

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

Growing community of inventors

Shanghai, China

Qiang Chen