Beijing Baidu Netcom Science and Technology Co., Ltd.

Sony Corporation

Boe Technology Group Co., Ltd.

Chinese Academy of Sciences

Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Boe Optoelectronics Technology Co., Ltd.

Hefei Boe Optoelectronics Technology Co., Ltd.

Chengdu University of Information Technology

Schneider Electric (china) Co., Ltd.

Gexfix Sa

Flight Inspection Center of Caac

Institute of Atmospheric Physics, Cas

Kun Liu

Qian Wang

Faen Zhang

Kai Zhou

Lan Zhe Liu

Dongze Xu

Yuanhao Xiao

Tianhan Xu

Jiayuan Sun

Jiangliang Guo

Shiming Yin

Shuo Li

Liang Li

Jun Feng Liu

Yang Liang

Xu Liang Li

Weiguo Wu

Chao Han

Kai Liu

Tao Chen

Dongfang Wang

Jing Liu

Xiaodong Li

Gang Wei

Yan Chen

Jun Liu

Xiong Yin

Wei Su

Jianxing Shang

Fei Fang

Yanqiang Wang

Qiaoqiao She

Hongbo Zhang

Yonghong Yan

Yajuan Lyu

Jin Tang

Jean-Pierre Perret

Xu Li

Shuangshuang Qiao

Xiangyue Lin

Rubin Jiang

Mingfa Zhu

Deng Zhang

Dongkun Wu

Min Mao

Qingwei Zhao

Baoyun Bi

Filadelfio Marletta

Li Lu

Yuming Du

Zhibao Wang

Xiang'ao Xia

Xiushu Qie

Qinghong Zhang

Jan Van Aaken

Yangyang Huang

Jieqiang Tan

Zixiang Lv

Ziyu Meng

Yangting Ou

Yachao Yu

Hongbin Suo

Jiaming Jia

Mingyuan Liu

Ruiling Chen

Yufan Ren

Yuejian Xuan

Dongxia Liu

Embodiments of the present disclosure provides a drawer assembly, the drawer assembly includes a drawer. The drawer includes a housing and a connecting part and a limiting groove disposed on an outer wall of the housing, the size of an end of the connecting part away from the housing being greater than the size of an end of the connecting part adjacent to the housing; and a handle detachably connected to the drawer, the handle includes a fixed gripping portion and a limiting portion, a connecting groove being disposed at an end of the fixed gripping portion adjacent to the housing, a snap-on part being disposed within the connecting groove, the limiting portion passing through the fixed gripping portion and being movable towards or away from the housing, wherein in a case that an end of the limiting portion adjacent to the housing moves to the inside of the limiting groove, an end of the connecting part adjacent to the housing is fitted with the card connecting part, so that the connecting part is limited within the connecting groove.

Drawer assembly

The present application provides a rocket apparatus and a method for changing an electrical environment in a thunderstorm cloud. A corona probe and an atmospheric electric field detector analyzes and obtains, based on spin angular velocity information of a rocket and inclination attitude information of the rocket that are provided by a gravity gyroscope, accurate strength of a three-dimensional electric field and accurate polarity of a charge in the thunderstorm cloud. A charge-neutralizing agent module externally releases a charged agent whose polarity is opposite to the charge in the thunderstorm cloud, to consume the charge in the thunderstorm cloud via neutralization between a heterocharge carried by the charged agent and the charge in the thunderstorm cloud.

Rocket apparatus and method for changing electrical environment in thunderstorm cloud

The present disclosure discloses a method and apparatus for scheduling a resource for a deep learning framework. The method can comprise: querying statuses of all deep learning job objects from a Kubernetes platform at a predetermined interval; and submitting, in response to finding from the queried deep learning job objects a deep learning job object having a status conforming to a resource request submission status, a resource request to the Kubernetes platform to schedule a physical machine where the Kubernetes platform is located to initiate a deep learning training task. The method can completely automate the allocation and release on the resource of the deep learning training task.

Method and apparatus for scheduling resource for deep learning framework

The present disclosure provides a search method, an electronic device and a storage medium, and belongs to a technical field of the Internet. The method includes: determining a first set of features corresponding to an original search statement by parsing the original search statement; obtaining each initial search result corresponding to the original search statement; determining a second set of features corresponding to an initial search result by parsing a title of the initial search result; determining a rewritten search statement corresponding to the original search statement and the initial search result by codecing the first set of features and the second set of features; and obtaining a supplementary search result corresponding to the rewritten search statement.

Search method, electronic device and storage medium

The disclosure discloses a method and apparatus for updating a deep learning model. An embodiment of the method comprises: executing following updating: acquiring a training dataset under a preset path, training a preset deep learning model based on the training dataset to obtain a new deep learning model; updating the preset deep learning model to the new deep learning model; increasing training iterations; determining whether a number of training iterations reaches a threshold of training iterations; stopping executing the updating if the number of training iterations reaches the threshold of training iterations; and continuing to execute the updating after an interval of a preset time length if the number of training iterations fails to reach the threshold of training iterations. This embodiment has improved the model updating efficiency.

Method and apparatus for updating deep learning model

A system comprises: a data warehouse, a storage device and a cluster including a plurality of computing nodes; the data warehouse is configured to store task data obtained from the user; at least one computing node in the cluster includes a resource scheduling component, and is configured to perform resource scheduling for the task and determine a computing node executing the task; the computing node executing the task comprises a model training component and/or a prediction component; the model training component is configured to, according to task data, invoke a corresponding type of learning model from the storage device; use sample data and training target included in the task data to train the learning model, to obtain the prediction model corresponding to the task and store the prediction model in the storage device; the prediction component is configured to obtain a prediction result output by the prediction model.

Intelligent big data system, and method and apparatus for providing intelligent big data service

A system and method for autonomous monitoring and active defense of lightning includes a current sensor installed on a metal object, an antenna installed near the current sensor, a signal processing and warning module (SPWM), which is configured to detect received current and field pulse signals, and issuing an early warning signal when detecting origination and development of pulses of a downward stepped leader and an upward leader, where the early warning signal is sent to a controlled surge protection device (CSPD) and/or a polarized reconfigurable lightning protection antenna, and the CSPD completes on/off actions before a first return stroke and/or the lightning protection antenna becomes only to receive/transmit horizontally polarized electromagnetic waves.

System and method for autonomous monitoring and active defense of lightning

Embodiments of the present disclosure provide a human-machine interaction processing method, an apparatus thereof, a user terminal, a processing server and a system. On the user terminal side, the method includes: receiving an interaction request voice inputted from a user, and collecting video data of the user when inputting the interaction request voice; obtaining an interaction response voice corresponding to the interaction request voice, where the interaction response voice is obtained according to expression information of the user when inputting the interaction request voice and included in the video data; and outputting the interaction response voice to the user. The method imbues the interaction response voice with an emotional tone that matches the current emotion of the user, so that the human-machine interaction process is no longer monotonous, greatly enhancing the user experience.

Human-machine interaction processing method and apparatus thereof

An integrated facial recognition method and system. The method includes: receiving a request for acquiring an integrated facial recognition service sent by a user terminal, which includes: an identifier of a user-selected model associated with facial recognition of the user, and an identifier of an operation selected by the user from candidate operations; and executing distributedly an operation selected by the user from the candidate operations on the user-selected model associated with the facial recognition of the user to obtain an operation result, and storing the operation result. The embodiment has realized completing the operations such as training a model or developing a facial recognition application, without the need of buying hardware and establishing a software environment by the user, thereby saving the development cost and improving the convenience of using the facial recognition service.

Integrated facial recognition method and system

The present disclosure provides a method, an apparatus, a device and a system for sign language translation, where a server receives video information sent by a terminal device, and preprocesses the video information to obtain at least one sign language action; the at least one sign language action is input into a sign language model for classification and prediction to obtain a word corresponding to the at least one sign language action; each word is input into a language model to determine whether an intention expression is complete; and each word is sent to the terminal device when the intention expression is complete, so that the terminal device displays each word, thereby realizing the translation of the sign language action into text, enabling the ordinary persons to better understand intentions of the hearing impaired, thus improving efficiency of communications.

Method, apparatus, device and system for sign language translation

The present disclosure provides a deep learning assignment processing method and apparatus, a device and a storage medium. It is feasible to obtain the deep learning assignment submitted by the user in a predetermined manner, the predetermined manner comprising the web UI manner, then submit the deep learning assignment to the deep learning system so that the deep learning system runs the submitted deep learning assignment. As compared with the prior art, processing such as programming is not needed upon submitting the deep learning assignment in the solutions of the present disclosure, thereby simplifying the user's operations, improving the processing efficiency of the deep learning assignment, and accelerating the user's speed of developing deep learning.

Deep learning assignment processing method and apparatus, device and storage medium

Pair of dynamic external fixation devices () for the reduction of fractures of bone fragments, said devices () being arranged on either side of a first bone portion traversed by a first pin () in a proximal position and a second bone portion traversed by a second pin () in distal position, while each of the dynamic external fixation devices () includes a first body () having a longitudinal axis profile (X, X'), having a proximal bore () passing through an axis (Y, Y&#x2032;) in combination with the first pin (), said first body () being embedded in a first coil spring (), while said first spring () is nested in a second coil spring (), mounted in conjunction with a second body mounted in conjunction on said first body (), while the second body is mounted in conjunction with the second pin ().

Dynamic external attachment device for osteosynthesis

The present disclosure relates a fake head assembly including a fake head body having an engage face, a first vacuum suction hole configured to be connected to an evacuating device to perform an evacuation, an adsorption portion having an adsorption surface, a plurality of first vacuum holes inside the fake head body, each first vacuum hole including a first end on the adsorption surface and a second end on the engage face, the plurality of first vacuum holes being arranged in order in a first direction of the fake head assembly; a shunt device detachably connected to the fake head body, the shunt device having a plurality of evacuating slots which extend in the first direction and have different extension lengths; the first vacuum suction hole being closable by the shunt device and selectively communicated with one evacuating slot, so as to be communicated the second end of at least some of the first vacuum holes via the one evacuating slot; and a connecting device for connecting the shunt device to the engage surface of the fake head body.

Fake head assembly

An array substrate, a display device and a driving method thereof are provided. The array substrate includes a base substrate, which includes a display region and a peripheral region surrounding the display region; and a first thin film transistor, a second thin film transistor, a data line, a first electrode and a second electrode, which are disposed on the base substrate and located in the display region. The first thin film transistor includes a first source electrode and a first drain electrode; the second thin film transistor includes a second source electrode and a second drain electrode; the first source electrode and the second source electrode are respectively connected with the data line, the first drain electrode is connected with the first electrode, the second drain electrode is connected with the second electrode.

Array substrate, display device and driving method thereof

The disclosure relates to a monitoring system and a control method for a monitoring system. The monitoring system includes a camera device, an object recognizing device and an arrangement control device. The camera device includes at least one movable camera device. The object recognizing device is configured to recognize a target object based on a primary image captured by the camera device. The arrangement control device is configured to control the spatial arrangement of the movable camera device so that the movable camera device is located at a predetermined position relative to the target object.

Monitoring system and control method thereof

Growing community of inventors

Beijing, China

Kun Liu