International Business Machines Corporation

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

Lenovo (beijing) Limited

Sas Institute Inc.

Datang Mobile Communications Equipment Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Beijing University of Posts and Telecommunications

Shineway Pharmaceutical Group Ltd.

Li Xu

Jianjun Zhang

Li Ni Zhang

Hui Lei

Zhiwei Wang

Masato Noguchi

Chen Zhao

Guang Cheng Li

Michael James Leonard

Xue Ping Liu

Jiawei Gu

Maria Rene Ebling

Zhiyong Feng

Jun He

Qiang Ma

Jingtuo Liu

David Kirk Grotjohn

Guerney Douglass Holloway Hunt

Zhiqing Wei

Jiabin He

Yingchao Li

Rajib Nath

Rajendra Singh Solanki

Fuguo Zhu

Jianping Hao

Jie Zhong

Qiong Yan

Jane Li

Qian Ying

Jianxun Liu

Xiaoxin Ma

Zhicong Han

Kezhong Zhang

Kyungduck Cha

Che Ji

Macklin Carter Frazier

Shasha Yan

Zhengping Wei

Vivian Zhang

Zhenyu Zhu

Zhigang Li

Xiangu Xiao

Shyflysky Zhang

Che Pan

Xiuwei Guan

Gregory Sallmard Stewart

Iris Lu

Weibo Gao

Wenting Song

Xiangui Xiao

Disclosed is a method for classifying mixed signals, comprising: receiving mixed signals; performing calculation on a matrix corresponding to the mixed signals by means of a preset Principal Component Analysis method to obtain to-be-classified mixed signals and to determine the number of types of signals contained in the to-be-classified mixed signals; determining a separation matrix based on the number of types of signals contained in the to-be-classified mixed signals; separating individual signals in the to-be-classified mixed signals by means of the separation matrix to obtain to-be-identified signals; calculating a preset number of high-order cumulants corresponding to each to-be-identified signal in the to-be-identified signals respectively; taking the calculated high-order cumulants as characteristics of the to-be-identified signal corresponding to the high-order cumulants respectively; inputting the characteristics of the to-be-identified signal into a preset classification model; and obtaining a modulation mode of the to-be-identified signal. The method according to the embodiment of the present application imposes no requirements on the classification environment, which is different from the prior arts in which the mixed signals can be classified only when certain conditions are met. Therefore, the method has universal applicability.

Method and apparatus for classifying mixed signals, and electronic device

A three-dimensional model processing method, an electronic device, and a storage medium are provided, which are related to fields of deep learning, augmented reality, and the like. The specific implementation includes: generating a target virtual three-dimensional model based on a target model template; generating a target picture based on graphic and textual information and a preset network; and determining a superposition processing result of the target virtual three-dimensional model based on the target virtual three-dimensional model and the target picture.

Three-dimensional model processing method, electronic device, and storage medium

The present application provides a mixed reality interaction method, an apparatus, and a storage medium, where the method includes obtaining position information of a real object in space in real time through a positioning chip disposed in the real object, and controlling, according to the position information of the real object, a virtual object in an augmented reality AR scenario to move in the AR scenario according to a moving track of the real object. The technical solution allows an object in the real world and an object in the virtual world seen by a user to be synchronized, thereby improving the user experience.

Mixed reality interaction method, apparatus, device and storage medium

A method and an apparatus for dialoguing based on a mood of a user, where the method includes: collecting first audio data from the user, determining the mood of the user according to a feature of the first audio data, and dialoguing with the user using second audio data corresponding to the mood of the user. The method and the apparatus for dialoguing based on the mood of the user provided by the present disclosure may make different responses according to the mood of the user when dialoguing with the user. Therefore, it further enriches response that the electronic device may make according to voice data of the user, and further improves the user experience during dialoguing with the electronic device.

Method and apparatus for dialoguing based on a mood of a user

Time-series projections can be analyzed and manipulated via an interactive graphical user interface generated by a system. The graphical user interface can include a graph depicting an aggregated time-series projection (ATSP) over a future time. The ATSP can be generated by aggregating multiple time-series. The system can receive user input indicating that an existing value in the ATSP is to be overridden with an override value. In response, the system can adjust the ATSP using the override value to generate an updated version of the ATSP. The system can display the updated version of the ATSP in the graphical user interface. The system can also propagate the impact of overriding the existing value with the override value through the multiple time-series. The system can display an impact analysis portion within the graphical user interface indicating the impact of overriding the existing value with the override value on the multiple time-series.

Interactive graphical user-interface for analyzing and manipulating time-series projections

Disclosed is a Chinese medicinal composition prepared from the following medical raw materials in parts by weight: 1 part of ginseng, 0.8-1.5 parts of ginkgo leaf and 0.018-0.030 part of stigma croci.

Preparation of a chinese medicinal composition including ginseng, ginkgo leaf and stigma croci

The present disclosure discloses a method and apparatus for human face image processing. A specific embodiment of the method comprises: locating facial feature points in a human face image, extracting an image of a human face region according to a range defined by the facial feature points, transforming a facial image of the source image according to a face shape of the target image, transforming the facial image of the source image according to a complexion distribution of a facial region of the target image, and obtaining a new human face by combining the facial image of the source image and a facial image of the target image. The embodiment achieves a facial image processing with higher similarity to the user in the image, of simple steps, small calculation and high real-time performance.

Method and apparatus for human face image processing

Embodiments of the present invention provide methods, computer program products, and systems to automatically verify a person's claimed identity using wireless token passing. Embodiments of the present invention can be used to receive identification data comprising a universally unique identifier (UUID) and a first security token and process the received identification data by matching the UUID to an associated website and verifying the first security token against a second security token. Embodiments of the present invention can be used to notify a first user of the processed identification data by displaying an indication that verification of the identification data was successful or unsuccessful.

Identity recognition

The present disclosure provides a method for measuring a distance. The method may comprise: controlling an image collection unit to collect an image of an object at a measuring position to obtain a first picture including the object; determining a first displaying area of the object in the first picture; controlling the image collection unit to collect an image of the object at a reference position to obtain a second picture including the object, the measuring position being different from the reference position; determining a second displaying area of the object in the second picture; obtaining a first actual distance from the measuring position to the reference position; and determining a second actual distance from the object to the measuring position based on the first displaying area, the second displaying area and the first actual distance. Meanwhile, the present disclosure further discloses an electronic device.

Method and electronic device for measuring a distance

It is provided according to the present application an image processing method applied to an electronic device equipped with a binocular camera. The image processing method includes: calculating a motion direction of a first image and a motion direction of a second image, wherein the first image and second image are captured by two cameras of the binocular camera respectively; performing deblurring on the first image and the second image; and combining the images which are already deblurred to obtain a definite three-dimensional perspective image. According to the image processing method, a blurry image generated during imaging is deblurred, the blurring caused by movement or the like may be weakened, the definition of the deblurred image is better than the definition of the blurred image, thereby leading to a better imaging result.

Image processing method, image processing apparatus and electronic device

The present application discloses a system and a method for clock synchronization of base stations. In the system for clock synchronization of base stations, a Global Positioning System (GPS) receiver on a main control board of a base station is connected to a GPS antenna feeder; the GPS receiver connected to the GPS antenna feeder is connected to a Phase-Locked Loop (PLL) on the present main control board and a PLL on other main control board; the main control boards are connected through a judgment line.

Clock synchronization system and method for base station

Embodiments of the present invention provide a method, system and computer program product for a smart cache for server testing in an application development tool. In an embodiment of the invention, method of smart caching of service data during application testing in a development tool for a service invoking application is provided. The method includes loading source code for a computer program into a development tool executing in memory of a computing system. The method further includes executing the source code from the development tool. In this regard, the execution of the source code invokes a service responsive to a directive to invoke the service disposed in the source code. Finally, the method includes invoking the service in a container instance in response to a first invocation of the service from the computer program. However, a data set for the service is located in a cache and returned the data set to the computer program in lieu of invoking the service in the container instance for all other invocations of the service.

Smart cache for a server test environment in an application development tool

A method and system for automatically collecting information in messaging system. A method in accordance with an embodiment includes: setting a flag indicating an information collection and an initiation flag for a message for requesting information collection by an information requestor; generating a unique identifier for identifying a task for the information collection, and sending the message; when replying to the message for requesting information collection, setting a reply flag for a replied message and sending the replied message, wherein information required to be collected is included in the replied message; and extracting the information required to be collected by the task for the information collection identified by the unique identifier from the replied message in accordance with the flag indicating an information collection and the reply flag, consolidating the information into a single summary document, and providing the summary document to the information requester.

Method and system for automatically collecting information in a messaging system

A method, apparatus and computer-readable medium for assembling objects in an IDE is presented. The method includes the steps of creating a pre-drop assembly area in an Integrated Development Environment (IDE); combining multiple component descriptors in the pre-drop assembly area, wherein the multiple component descriptors are interpreted through an extensible language mechanism that contains a plurality of extensible solutions; and upon a determination that combined multiple component descriptors have met a pre-defined condition, committing the combined multiple component descriptors to execution. In one embodiment, only one solution from the plurality of extensible solutions is used to interpret the multiple component descriptors, wherein the one solution is selected according to a user role of a user who is utilizing the IDE. The multiple component descriptors may be combined in the pre-drop assembly area by dragging the multiple component descriptors individually and sequentially to the pre-drop assembly area.

Pre-assembling drag-and-drop objects before committing a drop object

A method, system and computer-usable medium are presented for binding multi-value data structures to a selection control in one single action, where one of the multi-value data structures is for identification values and the other multi-value data structure is for labels. In one embodiment, the method includes the steps of predictively determining that a data structure is either an identifier value or a label; and simultaneously associating a predictively determined identifier value and a predictively determined label with a widget in an editor pane in an Integrated Development Environment (IDE).

Automatically binding and populating a selection control with both display labels and identification values

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Beijing, China

Li Xu