Nxp Usa, Inc.

Shanghai Jiao Tong University

Other

Nxp B.v.

Viavi Solutions Inc.

Zhiji Automotive Technology Co., Ltd.

Hon Hai Precision Industry Co., Ltd.

Chinese Academy of Sciences

Ambit Microsystems (shanghai) Ltd.

Nio Nextev Limited

Aptiv Electric Systems Co., Ltd.

Harbour Biomed (shanghai) Co., Ltd.

Shanghai Puyi Chemical Co., Ltd.

Microport Sinica Co., Ltd.

Shanghai Suninfo Information Technology Co., Ltd.

Fei Chen

Yong Wang

Ping Zhao

Wei Zhang

Tao Wang

Dong Liu

Fajun Nan

Yangming Zhang

Gang Qian

Ruixue Wang

Dominic Coupal

Scott Baxter

Linda Huang

Sheng Liu

Jing Li

Yun Zhang

Jian Ding

Jia Tao Li

Jing He

Tao Jiang

Yongqiang Wang

Yubo Zhou

Dechang Wang

Min Li

Xin Xie

Li Wang

Lu Chen

Mingbo Su

Dengyu Jiang

Baode Sun

Junfei Li

Guodong Xu

Linghua Meng

Jian Li

Jiao Zhang

Haiyan Xu

Shengbao He

Yanyu Chen

Xiao Cheng

Ziyu Liu

Yi Ding

Zhaobing Gao

Haining Hu

Lin Tian

Xianping Zhao

Wu-Kui Li

Haibo Qiao

Jiaming Weng

Cheng Wan

Jianlei Yi

Shixian Wang

Lewei Qian

Yifeng Wu

Jia Li

Shiyi Fan

Xinyu Zheng

Yongjie Nie

Min Cao

Siyang Liu

Zhenshan Cui

Pingzheng Zhou

Chuchu Zhao

Pengtao Zhao

Yuanhui Liu

Qing Du

Zhilong Guang

Ming-jin Jheng

Yunxing Yang

Yuetao Wu

Beibei Qin

Gang Yao

Tiejun Cao

Lidan Zhou

Kunhong Liu

Guangshan Wu

Jianming Wang

Dawei Wen

Qing Cao

Yuan Xiu

Minna Dou

Dingzhong Yang

Huifeng Xue

Chenchen Li

A remote reconfiguration system for an Internet of Things (IoT) intelligent sensing terminal includes: a controlled terminal with a field programmable gate array (FPGA); and a remote control unit connected to the controlled terminal and a control device; where the remote control unit is configured to receive control information sent by the control device, process the control information and send the processed control information to the FPGA, such that the FPGA performs remote local autonomous reconfiguration based on the preprocessed control information. The system resolves problems that a traditional IoT terminal cannot realize remote control and cannot follow functional requirements to perform local autonomous reconfiguration, and has better versatility and expandability.

Remote reconfiguration system for internet of things (IoT) intelligent sensing terminal

An isolated bi-directional DC conversion circuit and a method for controlling the same are provided. The DC conversion circuit includes a transformer with a first energy storage element and a primary-side rectification bridge coupled to the primary side of the transformer and a second energy storage element and a secondary-side rectification bridge coupled to the secondary side of the transformer. The primary-side rectification bridge consists of multiple first power switching devices. The secondary-side rectification bridge consists of multiple second power switching devices. Each of the multiple first and the second power switching devices have a body diode in inverse parallel connection therewith. The DC conversion circuit further includes multiple first sampling resistors provided on each bridge arm of the secondary-side rectification bridge and a controller configured to perform switch control on the multiple second power switching devices based on a sampled voltage of the multiple first sampling resistors.

Isolated bi-directional DC conversion circuit and method for controlling the same

The present invention discloses CLDN18.2-targeting antibodies, bispecific antibodies and use thereof. The CLDN18.2-targeting antibody is a single-domain heavy-chain antibody that has high affinity for tumor cells endogenously expressing CLDN18.2 and can induce high endocytic activity. The bispecific antibody can target CLDN18.2 and CD3 and retains the binding effect of an Fc to an FcRn; meanwhile, a mutant Fc is preferred so as to reduce the binding to an FcgR and thus the activation of non-specific T cells caused by the cross-linking of an FcgR. The CD3-terminus activity is optimized so that the release of common cytokines in CRS, such as IL6 and TNFα can be reduced.

CLDN18.2-targeting antibody, bispecific antibody and use thereof

A master-slave architecture deployment method based on snapshot includes: restoring a core library corresponding to a MySQL database at any point in snapshot time, where the core library is a virtual library of the MySQL database; querying out at least one piece of configuration information necessary for master-slave configuration of the MySQL database by using the core library as baseline; taking a snapshot on the core library by using a snapshot technology; creating and cloning at least one copy library corresponding to the core library respectively based on the snapshot and the at least one piece of configuration information necessary for master-slave configuration; and configuring a master-slave relationship and a master library and a slave library corresponding to the master-slave relationship for the core library and the at least one copy library. A master-slave architecture deployment device based on snapshot is further provided.

Master-slave architecture deployment method and device based on snapshot

The present invention provides an active distribution network physics-information fusion control method for a hybrid system model includes an initialization time being a starting time, predicting power output and load of a feeder intermittent distributed power supply within a control time period T, calculating a feeder exchange power deviation variation ΔP(t) during the control time period, if being a fixed distribution coefficient, and establishing a hybrid system model for feeder power coordinated control; if being a rolling distribution coefficient, an exchange power P(t) of the control region at time t being obtained, generating a distribution coefficient matrix W(t), and establishing the hybrid system model of the said feeder power coordinated control; confirming a control objective function min J, converting it into a MIQP, obtaining a full period control quantity; selecting a first control quantity P of the optimized control sequence, sending the first control quantity P to the control device.

Active distribution network physics-information fusion control method for a hybrid system model

The present invention discloses a preparation method for a metal material, including: horizontally placing a to-be-prepared metal material between wavy surfaces of a female die and a male die; connecting a press machine with the male die; pressing the metal material through the male die, so that the metal material makes complete contact with the male die and the female die; ejecting the pressed metal material; horizontally overturning the metal material, and then placing the metal material between the wavy surfaces of the female die and the male die; repeatedly performing the pressing and overturning processes until accumulated strain of the metal material meets a requirement; and taking out the metal material after the deformed metal material is flattened by a plane die. According to the present invention, a large-size nano grained material can be manufactured.

Preparation method for metal material

A device receives network information from an analyzer device associated with a host device, a target device, and a link of a network, and compares the network information and historical equalizer calibration information to identify a set of equalizer calibration information. The historical equalizer calibration information is associated with multiple host devices, multiple target devices, and multiple links. The device ranks the set of equalizer calibration information, based on quality information associated with the historical equalizer calibration information, to generate a ranked set of equalizer calibration information. The device provides the ranked set of equalizer calibration information to the analyzer device to permit the analyzer device to identify selected equalizer calibration information of the ranked set of equalizer calibration information, and utilize the selected equalizer calibration information.

Calibrating network analyzer devices

The present disclosure relates to a method and apparatus for recording mileage data of a vehicle on a blockchain. A method for recording mileage data of a vehicle on a blockchain is provided, including: providing a vehicle database and a mileage database, where the vehicle database is configured to store an identification number that uniquely identifies a vehicle, and the mileage database is configured to store mileage data about vehicle kilometers of travel (VKT); obtaining a vehicle identification number (VIN) from the vehicle database; obtaining the mileage data of the vehicle from the mileage database according to the VIN; and storing data related to the mileage data in the blockchain.

Method and apparatus for recording mileage data of vehicle on blockchain

Disclosed is use of amlexanox or a salt thereof or a solvate thereof in preparation of a drug having an inhibitory action on the smooth muscle cells, in particular a drug for preventing and treating vascular restenosis. Further disclosed is a medical device, particularly a drug stent, the surface of which is distributed with amlexanox or the salt thereof or the pharmaceutical composition thereof. Amlexanox has an activity in inhibition of the proliferation of smooth muscle cells, has a low inhibitory property of the endothelial cell growth, is particularly suitable for applying on a medical device to prevent the incidence of vascular restenosis, while not delaying the repair of endothelium.

Use of amlexanox

A method for detecting objects in a charging area of a wireless charging transmitter includes providing a bridge circuit that generates a ping signal, and providing the ping signal to a transmitter terminal. The method further includes monitoring at least one of a current of a power supply connected to the bridge circuit, and a current at the transmitter terminal to determine if an eligible object is in the charging area. The ping signal has parameters including frequency, duty cycle, and phase shift angle, where at least one of these parameters varies with time.

Method and apparatus for detecting objects in charging area of wireless charging transmitter

A method for cleaning up vehicle driving data includes receiving vehicle driving data of a vehicle within a predetermined time period, the vehicle driving data comprising vehicle mileage data and vehicle status data; determining a first mileage of the vehicle within the predetermined time period based on the vehicle mileage data; determining a second mileage of the vehicle within the predetermined time period based on the vehicle status data; and judging whether the first mileage is abnormal data based on the second mileage.

Method, apparatus and device for cleaning up vehicle driving data and storage medium thereof

In a wireless charging system, a power-transmitting node (TX), has a processor, a memory, a power transmitter for transmitting power wirelessly to a power-receiving node (RX), and a signal receiver for receiving signals from the RX. After the processor detects the presence of a foreign object (FO) during a power-transfer session, the processor places the TX in a protection state. The processor detects whether the FO has been removed using quality factor (QF) values for the TX that the processor measures before and after detecting the presence of the FO, and without requiring any QF values calibrated off-line. The QF values include a QF value measured before the FO is present, a QF value measured just after the TX enters the protection state, and a current QF value that is repeatedly updated as long as the TX remains in the protection state.

Foreign object detection circuit for wireless charger

In a wireless charging system, a power-transmitting node (TX) has a power transmitter for transmitting power wirelessly to a power-receiving node (RX), a sampling and sensing circuit, a processor, and a signal receiver for receiving signals from the RX. The processor detects the presence of a foreign object (FO) during a power-transfer session using Quality Factor (QF) values. Estimated QF parameters are determined via exponential curve fitting using peak values of a damped sinusoidal waveform generated by a resonant circuit. Then the estimated parameters in the exponential curve are used to calculate the QF, which provides a robust measurement result even in a noisy environment.

Q-factor determination for foreign object detection circuit in wireless charging system

In a wireless charging system, a power-transmitting node (TX) has a transmitter for transmitting power wirelessly to a power-receiving node (RX), and a signal receiver for receiving signals from the RX. During a power-transfer session, the TX accumulates data corresponding to its transmitted power level, detects an end of a received power (RP) packet from the RX, and then identifies a subset of the accumulated data. The TX calculates its transmitted power level using the subset of the accumulated data. The TX extracts a received power level of the RX from the received RP packet and compares its calculated transmitted power level with the RX's received power level to determine a presence of a foreign object. Accuracy of FO detection when packets from the RX are not properly received by the TX is improved.

Wireless charging system with power level calculation circuit for foreign object detection

Growing community of inventors

Shanghai, China

Fei Chen