Huawei Technologies Co., Limited

Hangzhou Hikvision Digital Technology Co., Ltd.

Advanced New Technologies Co., Ltd.

Alibaba Group Holding Limited

Hangzhou Ezviz Software Co., Ltd.

Zhejiang University

Danfoss A/s

Hangzhou Great Star Industrial Co., Ltd.

Ocean University of China

Sanhua (Hangzhou) Micro Channel Heat Exchanger Co., Ltd.

Keeson Technology Corporation Limited

China Jiliang University

Hangzhou United Tools Co., Ltd.

Powerchina Huadong Engineering Corporation Limited

Betta Pharmaceuticals Co., Ltd.

Wei Wang

Qiqian Lin

Weichun Wang

Weike Zhu

Min Yan

Jiang Yi Liu

Junping Zhang

Xishi Qiu

Shiliang Pu

Min Pan

Qian Zhang

Xiaofeng Zhang

Haiqing Jiang

Xiong Li

Yong Li

Jun Zhang

Wei Song

Bin Huang

Gang Li

Jing Jing Xiao

Qing Li

Nan Wang

Wei Xiong

Bin Wang

Yu Zhang

Huafeng Shan

Jian Wu

Tizheng Wang

Changcai Lai

Jianlong Jiang

Linjie Huang

Min Ye

Lieming Ding

Hao Wu

Biao Qi

Xue Li

Hao Wang

Xiaolei Liu

Jiayin Song

Liu Hu

Jiabing Wang

Chao Li

Yuan Fan

Miaojun Sun

Zhigang Shan

Yue Huang

Hui Cao

Jiawang Chen

Kai Qi

Zhonghua Wu

Lian Xue

Huacheng Zhang

Weiqiang Xia

Yiyang Liu

Jianguo Wu

Jiyuan Tang

Yi Cai

Guangkai Ding

Xiuli Zhao

Haishan Jin

Yan Zhang

Chao Liu

Ning Xu

Naixing Wang

Gang Fang

Kezhang Lin

Pinjiang He

Kai Fang

Jiong Zhu

Jinjuan Huang

Wei Gu

Dong Li

Chenyi Shen

Wenliang Wu

Wei Dong

Zhenxin Zhao

Chuande Zhang

Hongyang Li

Yongjia Zhou

Huajiang Yan

Jiasong Fang

Haizhen Zheng

Weitao He

Hanjun Guo

Yuxia Sun

Xiaojing Tang

Bo Zhan

Dongjie Feng

Yongxin Ke

Zhongyan Chen

Yifei Shen

Jinpeng Luo

Wenmao Wu

Xintao Zhao

Hong Lan

Dmitry Meytin

Zhuoyue Liu

Shay Horovitz

Heyu Yu

Gaofeng Li

A systematic security protection method for a multimodal AI model is provided. The method comprises: in a security detection stage of the target multimodal AI model, according to a perceptual distance between detection data and original data determined by a trained distance-aware judgment model, obtaining detection data whose perceptual distance from the original data meets a requirement, and detecting the target multimodal AI model by using the detection data; in a case that the detection result in the detection stage is that the target multimodal AI model has a security problem, on one hand, performing security coding protection and tokenization filtering on the input of the model, on the other hand, performing multi-dimensional omnidirectional evaluation on the multimodal AI model.

Systematic security protection method for multimodal AI model, apparatus and device

A method for automatic control of a simulation error in an analog circuit and a use thereof are provided. The method first determines a measurement object and acquires a simulation standard by simulating the measurement object. Then, the method performs simulation based on different parameters of a circuit netlist to acquire an electrical parameter and/or circuit performance evaluation indicator of the measurement object during a simulation process. The method forms a simulation sampling dataset based on a simulation option combination parameter and an error corresponding to the simulation standard. Finally, the method optimizes and analyzes the simulation sampling dataset based on an artificial intelligence algorithm to acquire a simulation option combination that meets a simulation error requirement and takes a least time. The solution achieves automatic selection of the simulation option combination, improving the accuracy of the simulation result.

Method for automatic control of simulation error in analog circuit and use thereof

A method for constructing a vehicle networking intrusion detection model based on federated learning is provided, which includes decoupling a local model according to a feature extractor and a classifier; selecting other vehicle clients with higher similarity to each vehicle client; collecting a local feature extractor from each vehicle client and distributing them to each vehicle client along with a global classifier obtained in a previous round, by a server; aggregating the local classifier and feature extractor from other vehicle clients to form an evaluation model; updating weights to obtain an updated local feature extractor, and combining it with the global classifier in the previous round to update the local model; aggregating feature representations extracted from a local dataset, and obtaining a current feature representation; collecting all current feature representations to train a global classifier and distributing them to vehicle clients that participate a next round of training.

Method for constructing a vehicle networking intrusion detection model based on federated learning

A lighting control method and apparatus for color picking based on an environment, a device, and a storage medium. The method includes: obtaining an environment image in a current environment in real time; determining an effective color picking range in response to a user operation, and obtaining coordinate point data of the effective color picking range; and obtaining red, green and blue (RGB) data within the effective color picking range, and controlling a color of a corresponding lighting device in the environment based on the RGB data. Through the method and apparatus, the effective color picking range can be determined by a user through manual painting, thereby eliminating interference factors in a screen image, and solving the problem of a poor lighting control effect caused by the interference factors in the screen image.

Lighting control method and apparatus for color picking based on environment, device, and storage medium

An asset scoring method and apparatus, a computer device, and a storage medium are provided. The method includes: obtaining multi-dimensional threat information data of assets to be assessed; obtaining sub-scores of dimensions according to the multi-dimensional threat information data and a preset security scoring model; according to the sub-scores of the dimensions, determining a security scoring result of the corresponding assets to be assessed; and according to the security scoring result and a preset level division rule, determining security levels of the corresponding assets to be assessed.

Asset scoring method and apparatus, computer device, and storage medium

A clamp includes a first clamp body and a second clamp body, which intersect and are fastened by a pivot mechanism, form a jaw opening at one end of a pivot mechanism, and have respective handles at the other end of the pivot mechanism. A stop mechanism is disposed on the first clamp body and an anti-pinch flange is disposed at a position, corresponding to the protruding stop mechanism, on the second clamp body to prevent the two handles of the first clamp body and the second clamp body from further closing.

Clamp

Surveillance camera

Provided are a GPS coordinates-based target overall planning method and a camera. Said method comprises: acquiring the GPS coordinates of each tracking target (S); for each pre-divided region, counting the number of tracking targets located in the region based on the acquired GPS coordinates of each tracking target (S); generating a heat map of the tracking targets based on the number of the tracking targets in each region (S). Hence, in the present method, a device generates a heat map based on the GPS coordinates of tracking targets, and the heat map can reflect the number of the tracking targets in each region, achieving the overall planning of the tracking targets.

GPS coordinates-based target overall planning method and camera

The present application provides a data storage method, a data storage apparatus and a storage system, wherein the method includes: determining a data type of to-be-stored data when the to-be-stored data is obtained (S); determining a target storage area with a data type same as that of the to-be-stored data based on the data type of data stored in each storage area in the SMR disk (S); determining in the target storage area a target storage block into which the to-be-stored data is to be written (S); generating the main index information and backup index information of the to-be-stored data based on the identifier of the target storage block (S); generating the database index information of the to-be-stored data based on the to-be-stored data and the identifier of the target storage block (S); and writing the to-be-stored data and the backup index information of the to-be-stored data into the target storage block, writing the main index information of the to-be-stored data into the CMR area or the non-SMR disk, and writing the database index information of the to-be-stored data into the non-SMR.

Index storage in shingled magnetic recording (SMR) storage system with non-shingled region

One or more implementations shown in the present specification provide an offline payment method. A communication connection between a collection device and a payment device is established, wherein both the collection device and the payment device are in an offline state. Payment data sent by the collection device is received by the payment device through the communication connection established to the collection device. Payment processing based on the payment data and account information of the payment device is performed by the payment device, to obtain a payment result. The payment result is returned, by the payment device to the collection device through the communication connection. Collection processing is performed, by the collection device, based on the payment result and obtained account information of the payment device, to obtain a collection result.

Method and apparatus for offline payment, service processing, and payment processing

An auto-collapsible pore pressure probe device, including a support system, a penetration system and a measurement system. The support system includes a first support frame, a second support frame, a separation mechanism, a ring clamp, a fixing nut, a fixing bolt, support legs, slots, a support base, and a third support frame. The penetration system includes a rod storage wheel, a motor, a tightening mechanism, a penetration drive motor, a gear, a fixing bracket, a fixing bolt, and a friction wheel. The measurement system includes a pore pressure probe, a control cabinet, a CPTU probe, a pore pressure sensor, a probe connector, an external thread, an internal thread, a fastening strip, a connecting bolt, a connector, a data transmission and power supply cable, a displacement sensor, and a deck unit. An operating method of the pore pressure probe device is also provided.

Auto-collapsible pore pressure probe device and operating method thereof

Disclosed is a data reconstruction method and apparatus, and an electronic device, and a storage medium. The method comprises: obtaining attribute information for a plurality of to-be-reconstructed data items; wherein the attribute information of any of the to-be-reconstructed data items is information recorded before the to-be-reconstructed data item is lost; determining, according to the attribute information for the plurality of to-be-reconstructed data items, a reconstruction order for the plurality of to-be-reconstructed data items in a preset target sorting manner; wherein, the target sorting manner relates to the attribute information, and in the target sorting manner, a data item of greater importance has a higher priority in reconstruction. Recovery rate of important data is increased.

Data reconstruction method, apparatus, electronic device, and storage medium

Disclosed are a compound (as shown in formula I) as an extracellular signal-regulated kinase (ERK) inhibitor, a pharmaceutical composition thereof, a preparation method therefor, and use thereof in treating ERK-mediated diseases. Said compound plays a role by regulating a plurality of processes such as cell proliferation, apoptosis, migration and angiogenesis. 

ERK inhibitor and use thereof

Disclosed are GPS-based target tracking system, method and dome camera. The system comprises: a first camera and a second camera. The first camera obtains GPS coordinate of a target during the tracking of the target and sends the GPS coordinates to the second camera. The second camera adjusts a shooting angle of the second camera according to the GPS coordinates, and tracks the target after detecting the target in a second monitoring image shot by the second camera. Therefore, in the scheme, if the target moves out of the monitoring range of the first camera, the second camera continues to track the target, namely the tracking range of the target is expanded through linkage of the plurality of cameras.

GPS-based target tracking system, method and dome camera

Growing community of inventors

Hangzhou, China

Wei Wang