Beijing Bytedance Network Technology Co., Ltd.

Spreadtrum Communications (shanghai) Co., Ltd.

Saudi Arabian Oil Company

International Business Machines Corporation

Honeywell International Inc.

Tsinghua University

Baidu Online Network Technology (beijing) Co., Ltd.

Shanghai Putao Technology Co., Ltd.

Shanghai Blocks Technology Group Co., Ltd.

Seijing Bytedance Network Technology Co., Ltd.

Yi He

Lei Li

Xianliang Chen

Xichun Gao

Jinjin Ni

Gen Li

Yiguo Zhao

Cheng Yang

Yitan Li

Yi Luo

Tong Wang Fei

Jing Zhu

Jin Xa Xu

Tian Qi Han

Hai Feng Yao

Jun Ming Guan

Yutai Hao

Chen Tang

Yangyu Chen

Hua Wang

Liang Li

Yu Meng Li

Ke Xu

Gang Tang

Yong Wang

Shuhui Chen

Xinyu Wang

Peng Yuan

Yue Ma

Yangyang Zhang

Xiang Zhang

Changhu Wang

Song Han

Qi Li

Feng Shi

Chao Gao

Yanshan Shi

Huan Tang

Mohammed Mubarak

Young Seo Kim

Yaowen Qi

Xia Wei

Ali Ameen Almomin

Xiaoli Xu

Xuening Deng

Jichuan Xu

Zhenyu Wan

Yalu Kong

Fakui Cheng

Xianzi Zong

Zhuotao Liu

Zhenhua Zou

Lvye Ye

Systems and methods are disclosed. The method includes obtaining seismic data for a geological region of interest, a velocity model, and an attenuation model. The seismic data includes an amplitude and a phase of seismic waves traveling from a seismic source location. The method further includes determining a traveltime model using the seismic source location, the velocity model, and a traveltime Eikonal function and determining an attenuated traveltime model using a parallel fast sweeping method. The parallel fast sweeping method includes Cuthill-McKee ordering a plurality of grid nodes. The plurality of grid nodes represents the geological region of interest. The parallel fast sweeping method further includes using the seismic source location, the velocity model, the attenuation model, the traveltime model, and an attenuated traveltime Eikonal function. The method still further includes generating an updated attenuation model using the attenuated traveltime model, the amplitude, and the phase.

Methods and systems for determining attenuated traveltime using parallel processing

A method for generating a target function is provided. The method includes: performing normalization processing on a vector corresponding to each pixel in a target feature map set to generate a target vector, so as to obtain a target vector set; generating hash coding corresponding to each vector in the target vector set, to obtain a hash coding set; determining a prior probability of each hash coding in the hash coding set; and generating a target function based on an entropy of the prior probability.

Method for generating objective function, apparatus, electronic device and computer readable medium

The present disclosure discloses a hotpatch method for vulnerabilities in embedded Internet of Things (IoT) devices. The method includes acquiring vulnerability information of the embedded IoT devices to be patched; selecting a corresponding vulnerability patching mode based on different vulnerability types of the vulnerability information, and acquiring an eBPF patch bytecode file (first patch) and an eBPF patch code configuration file from a server according to the vulnerability patching mode; compiling the eBPF patch bytecode based on the eBPF patch bytecode and the eBPF patch code configuration file to generate a patch binary code file (second patch) and configuration information of the patch binary code; and adopting three approaches to trigger the patch binary code to patch the vulnerability information based on the configuration information and the vulnerability patching mode.

Hotpatch method for vulnerabilities in embedded IoT devices

A method may include obtaining seismic data based on a seismic survey regarding a geological region of interest. The method may further include obtaining grid data based on the geological region of interest. The method may further includes determining various travel times using the seismic data, the grid data, an Eikonal function, and a velocity model for the geological region of interest. The method may further include determining various attenuated travel times using the travel times, the grid data, and a forward modeling function that includes various gradient components. The method may further include determining various updated attenuated travel times using the attenuated travel times, the grid data, the forward modeling function, and a fast sweeping method. The method may further include generating an attenuation model of the geological region of interest using the updated attenuated travel times.

Method and system for determining attenuated seismic time

A method and apparatus of locating subsurface geohazards in a geographical area that includes: receiving a plurality of seismic trace signals in the geographical area based on a shot gather from a seismic shot source; isolating and stacking the plurality of seismic trace signals to generate a windowed trace signal associated with refraction traces from the seismic shot source; transforming the windowed trace signal to a frequency domain; calculating a low frequency to high frequency ratio for the transformed trace signal; outputting the calculated ratio to a two-dimensional array representing the geographical area at a source location and at a mean receiver location; repeating the steps for a plurality of other shot gathers in the geographical area; and multiplying each source location ratio with one or more mean receiver location ratios on the two-dimensional array to generate a final frequency ratio map.

Method, apparatus, and system for identifying surface locations corresponding to subsurface geohazards based on frequency ratios among seismic trace signals

An embodiment of the disclosure provides a live steam sampling method and device and electronic equipment, which belong to the technical field of image processing. The method comprises: extracting multi-frame sampled images from live stream; screening out forward similar images from all sampled images, wherein the forward similar images are sampled images similar to a sampled image of a previous adjacent frame; and taking the rest of the sampled images, except from the forward similar images, in all sampled images as sampled images of the live stream. According to the solution of the disclosure, a solution of effectively eliminating the forward similar images in sampling operation based on a FPS is realized, thereby avoiding the leakage conditions, reducing total workload of sampling and checking, and improving efficiency of live stream sampling.

Live streaming sampling method and apparatus, and electronic device

The present disclosure relates to a media retrieval method and apparatus, wherein the method comprising: acquiring a media feature of a query media as a first media feature which contains a plurality of first media feature units; performing, according to each individual of the first media feature unit, a first ranking on a plurality of existing media, and taking, according to a result of the first ranking, first k existing media as a first candidate media set, where k is a positive integer; and performing, according to the plurality of the first media feature units arranged in sequence, a second ranking on the first candidate media set, and taking, according to a result of the second ranking, first n first candidate media as a retrieval result, where n is a positive integer.

Media retrieval method and apparatus

Embodiments of the present disclosure disclose an audio content recognition method and apparatus, an electronic device and a non-transitory computer-readable medium. A specific implementation of the method includes: obtaining a voice fragment collection and a non-voice fragment collection by segmenting audio; determining a type and language information of each voice fragment in the voice fragment collection; obtaining, for each voice fragment in the voice fragment collection, a first recognition result by performing voice recognition on the voice fragment based on the type and the language information of the voice fragment. In the implementation, speaking and music fragments in the audio are recognized by different models, so that two audio contents may both have better recognition effects. Moreover, audio of different language contents is recognized by using different models, thereby further improving a voice recognition effect.

Audio content recognition method and apparatus, and device and computer-readable medium

The disclosure is related to a method and device for comparing media features, the method comprising: obtaining first media feature sequences of a first media object and second media feature sequences of a second media object, the first media feature sequence comprises a plurality of first media feature units arranged in sequence, and the second media feature sequence comprises a plurality of second media feature units arranged in sequence; determining unit similarities between the first media feature units and the second media feature units; determining a similarity matrix between the first media feature sequences and the second media feature sequences according to the unit similarities; determining a similarity of the first media object and the second media object according to the similarity matrix.

Method and device for comparing media features

In an approach for an API key access authorization, a processor receives a transaction identity, a part of a token, and an API key identity attribute from a server. The transaction identity is generated in the server associated with generating the token. A processor receives a request from a client with the transaction identity for the part of the token. A processor looks up a transaction table via the transaction identity as an index. The transaction identity is associated with the part of the token and the API key identity attribute. A processor retrieves a client identity attribute through a second server via an IP address of the client. The second server registers the client. A processor matches a policy via the API key identity attribute and the client identity attribute. A processor sends the part of the token to the client.

API key access authorization

A video feature extraction method and device are provided. The method includes extracting one or more frames from a video object to obtain one or more frames of images; stage-by-stage processing each of the one or more frames of images by multi-typed pooling processes to obtain an image feature of the one or more frames of images; and determining a video feature according to the image feature of the one or more frames of images. The multi-typed pooling processes include a maximum pooling process, a minimum pooling process and an average pooling process.

Video feature extraction method and device

Methods and seismic shot generation and data collection systems configured to determine a monotonically increased velocity v*(z) from a monotonically increased velocity model by requiring the monotonically increased velocity v*(z) to be nearest to a refraction velocity v(z) determined for an estimated depth z and to be characterized by a positive slope such that the refraction velocity v(z) increases with depth, and to generate a subsurface image based on the estimated depth z and the determined monotonically increased velocity v*(z).

Methods and seismic shot generation and data collection systems utilizing refraction in horizontal stratified media for monotonically increased velocity determinations

A method and a device for processing feature points of an image are provided. A specific embodiment of the method includes obtaining an image to be processed; determining weights of the feature points of the image to be processed to obtain a weight set; and according to the weights, selecting target numbered feature points as target feature points of the image to be processed. The weights include a texture weight; the texture weight and a color change scope of pixels in a target sized image region in which the feature points locate are directly proportional. The embodiment can reduce the number of feature points of the image, and further release the storage pressure of feature points regarding the image.

Method and device for processing feature point of image

An interactive toy includes a housing, a control module, a motor, a rotating shaft, and an external member. The rotating shaft is exposed outside the housing, and is connected to the external member. The control module is configured to control the motor to drive the rotating shaft to rotate. The toy further includes a measurement module and an analysis module. The measurement module is configured to measure an angle by which the rotating shaft rotates from an initial stationary state to the state in which its rotating speed reaches the maximum. The analysis module is configured to compare a preset reference angle with the angle by which the rotating shaft from the initial stationary state to the state in which the rotating speed of the rotating shaft reaches the maximum to determine whether the external member encounters an obstacle.

Interactive toy

A visualized editing method, device and apparatus are provided. The method includes: displaying an editing interface; in a page presentation state of the editing interface, displaying, on the editing interface, a structure presentation area and an edition area, wherein the structure presentation area comprises a framework structure and a hierarchy of components described with an interface presentation language, and the editing area comprises an editable attribute of each component; in response to a component selection operation, selecting a target component from the components in the framework structure and the hierarchy of the structure presentation area; and in response to an editing operation on the target component, editing logical description codes of an attribute of the target component in the edition area. Accordingly, it is possible to improve code editing efficiency.

Visualized editing method, device and apparatus, and storage medium

Growing community of inventors

Shanghai, China

Yi He