Fujitsu Corporation

International Business Machines Corporation

Beijing Institute for Cancer Research

State Grid Corporation of China

China Electric Power Research Institute Company Limited

Eyespage Inc.

Qualcomm Incorporated

Henkel Ag & Company, Kgaa

Apollo Intelligent Driving Technology (beijing) Co., Ltd.

Shanghai Huali Integrated Circuit Corporation

State Grid Shandong Electric Power Research Institute

Tsi Group Limited

Tsi Health Sciences, Inc.

Peking University

Beijing Founder Apabi Technology Limited

Jing Zhou

Zhiming Tan

Sihan Wen

Dajun Deng

Xiang Sean Zhou

Ke Wei Wei

Xin Yang

Jiantao Liu

Akira Nakagawa

Jun Zhang

You-Chin Gene Fuh

Wenbo Mao

Jianguo Yao

Yaping Li

Gang Wang

Dong Chen

Feng Li

Ke Fei Wang

Li Zhou

Yu Sun

Yong Wang

Peng Xu

Chao Li

Ting Li

Jun Liu

Shu Hua Liu

Patrick Dooling Bossman

Zhi Tang

Qiang Xie

Jian Wei Zhang

Zhen Xiang Yang

Yuan Tian

Ralf Dunekake

Xiaoping Zheng

Yao Peng

Thomas Plantenberg

Stijn Gillissen

Ran Huang

Tang Ren Yao

Yan Jia

Hua Bai

Zhaojun Liu

Steve S Lee

Richard B Hynson

Shengchun Yang

Liankun Gu

Baozhen Zhang

Ke-Qin Zhang

Wu-Zhou Li

Xiaorui Guo

Wen Dong Wang

Xi Ling Cai

Hao Zhao

Hong Gang Liu

Lingling Pan

Leticia Borque

Yijun Yu

Jiahao Yan

Liwen Wang

Kedong Zhu

Shuhai Feng

Weikai Zhang

Shanshan Hei

Xuanfan Shen

Dimeng Wang

Jian Geng

Gui Song Huang

Karen Leyssens

Chunhua Liu

Dan Zeng

Cui Su

Xiaolin Cui

Jiyu Li

Qiuchen Xu

Guo Song

Sainan Zhang

Taiyou Yong

Changqiao Wang

Aixia Jia

Provided an intermittent characteristic-based demand-side resource coordination control method and system. The method includes: receiving a control request, where the control request is used for requesting control of demand-side resources having an intermittent characteristic; determining a target total control quantity of demand-side resources; determining a coordination strategy of multiple demand-side resources and an action quantity of each of the multiple demand-side resources; and performing coordinated control on the multiple demand-side resources based on the target total control quantity of demand-side resources, the coordination strategy, and the action quantity of each of the multiple demand-side resources.

Intermittent characteristic-based demand-side resource coordination control method and system

Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for xx. A method that may be performed by a user equipment (UE) includes receiving, from a network entity, a first transport block (TB) comprising one or more code blocks (CBs), transmitting, to the network entity, an indication of a preferred code block group (CBG) allocation scheme selected for re-transmission of at least one CB of the one or more CBs based, at least in part, on a decoding status for each of the one or more CBs, and receiving, from the network entity, the at least one CB re-transmitted in accordance with the preferred CBG allocation scheme.

Dynamic code block group (CBG) allocation

Provided are a set of primer pair and probe, having the oligonucleotide sequences as shown in SEQ ID NO: 1, SEQ ID NO: 2 and SEQ ID NO: 3, and a set of primer pair and probe of reference sequence, having the oligonucleotide sequences as shown in SEQ ID NO: 4, SEQ ID NO: 5 and SEQ ID NO: 6. Further provided is the use of the set of primer pair and probe for detecting the common deleted region 'chr9:21970277-21985225,hg19', of CDKN2A in the preparation of a kit for quantitatively detecting the deletion of a human CDKN2A gene copy in a DNA sample to be tested. The new method and the specific primer pair and probe can simply, conveniently and specifically detect the deletion of the CDKN2A gene copy in the sample, and have higher sensitivity than conventional detection methods for copy deletion.

Method for quantitatively detecting deletion of human CDKN2A gene copy, primers and use thereof

A method, apparatus and storage medium for implementing a discrete frame-based scene section are disclosed. The method comprises: obtaining at least one first tag for mapping a discrete frame to a scene section; for any second tag in the at least one first tag, performing polling query on to-be-processed first discrete frames respectively to determine whether there is a second discrete frame matched with the second tag in the first discrete frames; if there is the second discrete frame, marking the second discrete frame with the second tag corresponding to a scene section; if the polling query corresponding to the second tag ends, storing start frame timestamp information and end frame timestamp information of the scene section.

Method, apparatus and storage medium for implementing a discrete frame-based scene section

Embodiments of this disclosure provide an image encoding method and apparatus and image decoding method and apparatus. The image encoding includes performing convolutional neural network (CNN) encoding on image data to generate feature vectors or feature maps; quantizing the feature vectors or feature maps to generate discrete symbols to be encoded; and estimating probabilities of the symbols to be encoded by using a multi-scale context model including multiple mask convolution layers of different scales. An entropy encoding of the image data is performed according to the probabilities of the symbols to be encoded.

Image encoding method and apparatus and image decoding method and apparatus

Embodiments of this disclosure provide an image coding apparatus, a probability model generating apparatus and an image decoding apparatus. A processor is to perform feature extraction on an input image to obtain first feature maps of N channels; to perform feature extraction on the input image with a size of the input image being adjusted K times, to respectively obtain second feature maps of N channels; and to concatenate the first feature maps of the K&#xd7;N channels with the second feature maps of K&#xd7;N channels to output a concatenated feature maps of channels. Hence, features of images may be accurately extracted and more competitive latent representations may be obtained.

Image coding apparatus, probability model generating apparatus and image decoding apparatus

Embodiments of this disclosure provide a video frame interpolation apparatus and method. The method includes calculating a bidirectional optical flow between a first frame and a second frame; an performing kernel and weight estimation according to the first frame and the second frame. An adaptive local convolutional kernel is generated by using a convolutional layer and a weight coefficient is generated by using another convolutional layer. A conversion on the first frame and the second frame is performed by using an adaptive conversion layer according to the bidirectional optical flow, the weight coefficient and the adaptive local convolutional kernel, so as to generate a conversion frame. A frame synthesis on the first frame, the second frame and the conversion frame is performed to generate an interpolation frame between the first frame and the second frame.

Video frame interpolation apparatus and method

The application discloses an automatic product dispatching device in case of a site abnormality in a queue time section loop, which includes a risk level definition module and a risk control logic module for product dispatching in case of the site abnormality; the risk level definition module divides risks into a plurality of levels, defines a corresponding site risk level at each site, divides a queue time section loop from a current site to an abnormal site of products into a current queue time section, a middle queue time section and an abnormal queue time section, and respectively defines section risk level; the risk control logic module forms a current product dispatching result according to a logic relationship among the section risk levels. The application further discloses an automatic product dispatching method in case of a site abnormality in a queue time section loop.

Automatic product dispatching device and method in case of site abnormality in queue time section loop

Embodiments of this disclosure provide a training method, an image encoding method, an image decoding method and apparatuses thereof. The image encoding apparatus includes: an image encoder configured to encode input image data to obtain a latent variable; a quantizer configured to perform quantizing processing on the latent variable according to a quantization step to generate a quantized latent variable; and an entropy encoder configured to perform entropy coding on the quantized latent variable by using an entropy model to form a bit stream.

Training method, image encoding method, image decoding method and apparatuses thereof

Embodiments of this disclosure provide an image coding method and apparatus and an image compression system. The image coding apparatus includes a memory and a processor. The processor is configured to perform feature extraction on an input image to obtain feature maps of N channels; assign a weight to a feature map of each channel among the N channels; perform down-dimension processing on weighted feature maps processed in association with the N channels, to obtain feature maps of M channels and output the feature maps of M channels, M being smaller than N. Hence, by multiplying different feature maps by a weight to obtain corresponding importance and then performing down-dimension processing on the feature maps processed according to the weighting, time for decoding may be reduced.

Image coding apparatus, probability model generating apparatus and image compression system

Embodiments of this disclosure provide an image coding method and apparatus and an image decoding method and apparatus. The image coding method includes: performing feature extraction on to-be-processed image data by using a convolutional neural network, to generate feature maps of the image data; quantizing the feature maps to generate discrete feature maps; preprocessing the discrete feature maps to generate preprocessed data, an amount of data of the preprocessed data being less than an amount of data of the discrete feature maps; calculating probabilities of to-be-coded data in the discrete feature maps according to the preprocessed data; and performing entropy coding on the to-be-coded data according to the probabilities of the to-be-coded data.

Image coding method and apparatus and image decoding method and apparatus

A computer implemented method, computer system and computer program product are provided for lost detection for paired mobile devices. According to the method, a processor receives behavior data of paired mobile devices from one or more sensors of the paired mobile devices, wherein the behavior data comprising one or more parameters that reflect current status of the paired mobile devices. And the processor compares the received behavior data with human behavior data model. And, in response to the received behavior data being not matched with the human behavior data model, the processor determines that at least one of the paired mobile devices is lost.

Lost detection for paired mobile devices

A Demand Response (DR) physical potential evaluation method for a feeder line is provided, which includes that: a load curve of a part to be identified in a load curve of a feeder line to be evaluated is acquired; a load database is created on the basis of a historical load curve of loads of predefined types; load types and total number of the loads to be identified are determined on the basis of the load curve of the part to be identified and the load database; a physical potential of the loads of each of the types is acquired according to the load types of the loads to be identified; and an overall aggregated physical potential of the loads to be identified is obtained according to the physical potential of the loads of each of the types and a number of the loads of each of the types.

Method, device and storage medium for evaluating physical potential of demand response for feeder line

Provided in the present invention are a method using in vitro measurement of the content of methylation or demethylation of GFRa1 CpG islands to estimate a risk of tumorigenesis and of tumor metastasis, or postoperative life expectancy, and a nucleotide sequence used.

Methods and nucleotide fragments of predicting occurrence, metastasis of cancers and patients' postoperative survival in vitro

A device is configured to generate and present a lock screen graphical user interface while the device is in a locked state in which, for example, the device displays a lock screen to a user of the device. The device is further configured to detect a current activity of the user while the device is in its locked state. This detection may be based on context data generated by a sensor within the device. The device is further configured to select an activity icon from a set of activity icons based on the detected current activity of the user. The device then causes the selected activity icon to be displayed while the device is in its locked state. The selected and displayed activity icon is operable to cause display of a pop-up window that corresponds to the selected activity icon while the device is still in its locked state.

Lock screen graphical user interface

Growing community of inventors

Beijing, China

Jing Zhou