International Business Machines Corporation

Shanghai Lepu Cloudmed Co., Ltd

Comcast Cable Communications, LLC

Le Shi Zhi Xin Electronic Technology (tianjin) Limited

International Centre for Bamboo and Rattan

Xue Yong Zhang

Jun Gao

Xi Bo Zhu

Cheng Fang Wang

Guan Jun Liu

Si Bin Fan

Ping Xiao

Bei Chun Zhou

Jun Cao

Ping Ping Cheng

Su Liu

Jia Zou

Chang Liu

Yang Liang

Qin Qiong Zhang

Nan Chen

Liang Tian

Xin Zheng

Chuanyan Hu

Zifang Zhao

Li Jia Chen

Jonathan D Dunne

Wei Li

Jian Zhang

Qiang Wang

Yan Wang

Li Li

Xiao Ling Chen

Cheng Xu

Tao Liu

Xiao Lin Zhang

Jin Zhang

Wen Liu

Yu Xin Zhao

Wenbo Zhang

Jing Jing Zhang

Heng Wang

Li Ni Zhang

Meng Wan

Yanjun Ma

Wen Ji Huang

Dong Yan Yang

Yi Zhi Yao

Anita Govindjee

Biao Cao

Zhi Li Guan

Guo Qiang Li

Zhan Peng Huo

Xue Liang Zhao

Mai Zeng

Tao Hu

Tian Ji Yang

Tie Liu

Qi Liang

Li Xiang

Yi Jie Ma

Yu Mei Dai

Chen Jiang

Ting Xie

Lei Wu

Wen Bing Li

Wen Bin Han

Qing Feng Hao

Zehui Jiang

YaLian Pan

Hai He

Shi Yu Wang

Qing Y Meng

Xi Qian

Xiao Xiao Pei

Zhi Dan Hao

Yue Zhang

Xi Mei Kong

Baoquan Wang

Li Ping Hao

Yumei Li

Xiao Feng Ren

Yanting Chang

Yayun Deng

Chang Zhi Gz Zhang

Huai Ying Xia

Zhiqiang Su

Jiang Ji

Kan Xu

Yufei Meng

Mengsi Xia

Guang Yu Ye

Ya Peng Dong

Methods are described for managing transmission resources using user group correlation. A content provider or an advertiser may send, to a network provider, a content item that is to be transmitted to a target audience. The content provider or the advertiser may indicate the target audience by providing data identifying one or more criteria for the target audience. The network provider may use the data from the content provider to determine an initial user group that matches the criteria, and one or more additional user groups that are similar to the initial user group within a threshold. The network provider may transmit the content item to the initial user group and to the additional user groups.

Managing transmission resources

Disclosed are a peony PoWOX4 gene and applications of a coded protein thereof, belonging to the field of biotechnology. According to the present disclosure,is taken as a model plant, and the peony PoWOX4 gene is transformed intoto promote the early bolting, flowering and vegetative growth of

Peony PoWOX4 gene and applications of coded protein thereof

An ECG information processing method and ECG workstation, wherein the method comprises: the ECG workstation receives the ECG data output by an ECG device, the ECG data includes ID of the measured object and the detection time information; perform ECG data analysis on the ECG data to generate report data; receive a report data query input by the user, query corresponding report data according to the user ID of the user, and generate report data query result list data; acquire the selected report data according to the selection instruction, determine output mode information and output format information according to the report output, and, selectively output report conclusion data, report entry data, and/or the partial data or all the data in the report graphic data, and convert the partial data or all the data in data format according to the output format information, to generate report output data.

ECG information processing method and ECG workstation

An automatic recognition and classification method for electrocardiogram heartbeat based on artificial intelligence, comprising: processing a received original electrocardiogram digital signal to obtain heartbeat time sequence data and lead heartbeat data; cutting the lead heartbeat data according to the heartbeat time sequence data to generate lead heartbeat analysis data; performing data combination on the lead heartbeat analysis data to obtain a one-dimensional heartbeat analysis array; performing data dimension amplification and conversion according to the one-dimensional heartbeat analysis array to obtain four-dimensional tensor data; and inputting the four-dimensional tensor data to a trained LepuEcgCatNet heartbeat classification model, to obtain heartbeat classification information. The method overcomes the defect that the conventional method only depends on single lead independent analysis for result summary statistics and thus classification errors are more easily obtained, and the accuracy of the electrocardiogram heartbeat classification is greatly improved.

Automatic recognition and classification method for electrocardiogram heartbeat based on artificial intelligence

Pizza cutter 16&#x2033; blade rocker

A processor may receive a recording. The recording may include one or more user guidance sequences and be displayed to a user. The processor may receive a first user input response to an initiation of a first user guidance sequence. The processor may determine, in response to receiving the first user input, that there is a discrepancy between the first user input and the first user guidance sequence. The processor may automatically modify the playback setting of the recording. The processor may display the discrepancy between the first user input and the first user guidance sequence to the user.

Automatic modification of user guidance sequence recordings

An artificial intelligence-based interference recognition method for an electrocardiogram, comprising: cutting and sampling heart beat data of a first data amount, and inputting the heart beat data to be recognized that is obtained by cutting and sampling into an interference recognition binary classification model for interference recognition; in a sequence of the heart beat data, performing signal anomaly determination on a heart beat data segment where an inter-beat interval is greater than or equal to a preset interval determination threshold value, so as to determine whether the heart beat data segment is an abnormal signal; if the heart beat data segment is not an abnormal signal, determining a starting data point and an ending data point of sliding sampling in the heart beat data segment according to a set time with a preset time width, and performing sliding sampling on the data segment from the starting data point until the ending data point so as to obtain multiple sampling data segments; and using each sampling data segment as heart beat data to be recognized for interference recognition.

Artificial intelligence-based interference recognition method for electrocardiogram

Data collection is provided, in which one or more affected transactions related to one or more transaction exceptions are determined. Based on one or more features of the one or more affected transactions, one or more trace features are determined. Based on the one or more trace features, a data collection rule is generated. Data of a subsequent transaction complying with the data collection rule is collected.

Data collection in transaction problem diagnostic

Techniques for virtual machines include receiving virtual machine (VM) requests, and finding one or more VM requests of the VM requests that optimize available resources of a candidate host machine while seeking to minimize differences between the one or more VM requests and the candidate host machine. The one or more VM requests are allocated to the candidate host machine.

Schedule virtual machines

Systems and methods are provided for generating task reminders. The method includes identifying, using a processor, a task description by parsing digital text from a message in an application. The method further includes obtaining context information from the parsed digital text indicating an association between the task description and the application. The method additionally includes generating, using the processor, a task reminder based on the obtained context information, the task reminder including digital text indicating the association between the task description and the application.

Task reminder generator

A method, system and computer program product for processing data are provided. In the method, a request is received to perform an access-controlled operation in a user device. A biometric feature input from an input module of the user device is received for the request. It is determined whether the received biometric feature matching with a primary biometric feature, the primary biometric feature being identified from a plurality of biometric features stored in the user device and being used to authenticate a user for the access-controlled operation. The access-controlled operation is enabled in response to determining the received biometric feature matching with a primary biometric feature.

User authentication

Methods, systems, and devices for determining a person's location and for presenting navigation instructions are provided. In an embodiment, a method for determining a user's location includes obtaining an image of a graphical indicator at a first location. The graphical indicator is located on a surface of an object in an area and the graphical indicator includes mapping and location information encoded in the graphical indicator. The method also includes determining a map and a user's location on the map according to the graphical indicator.

Location determination without access to a network

Managing vehicle operations according to driver behavior by: defining a multi-dimensional preemptive driver daily behavior (PDDB) data structure; defining a PDDB abnormal behavior criteria; and defining a PDDB abnormal behavior algorithm. Further, by: collecting PDDB data; acquiring a PDDB assessment according to the PDDB analysis; and preemptively communicating driver vehicle-access instructions according to the PDDB assessment.

Managing vehicle-access according to driver behavior

A method and associated computer system. A first machine executes machine code in a debugging session on the first machine. The machine code had been previously received by the first machine from a second machine. The machine code includes machine executable instructions. The machine code was generated from compilation of source code developed and compiled on the second machine. In response to a change in the machine code having detected by the first machine in the debugging session on the first machine, the first machine determines a portion of the source code associated with the change in the machine code based on a profile. The profile indicates a mapping between the source code and the machine code. The first machine, while communicating with the second machine, causes the portion of the source code to be updated on the second machine based on the change in the machine code.

Code update based on detection of change in runtime code during debugging

A computer-implemented method is presented for enabling instant and automatic photo sharing between computing devices. The method includes allowing a first user to operate a first computing device to create a plurality of images, the plurality of images including physical characteristics of a second user, transmitting a broadcast message to a plurality of second computing devices, determining whether a match occurs between the first computing device and one or more of the plurality of second computing devices, and establishing a local area network between the first computing device and matched second computing devices. The method further includes automatically and instantly transmitting the plurality of images to the matched second computing devices by priority and sequence determinations, and, upon completion of the transmittal of the plurality of images to the matched second computing devices, terminating the local area network.

Instant photo sharing via local area network setups

Growing community of inventors

Beijing, China

Xue Yong Zhang