Nuctech Company Limited

Tsinghua University

International Business Machines Corporation

Boe Technology Group Co., Ltd.

Nokia Solutions and Networks Oy

Nokia Technologies Oy

Other

Samsung Electronics Co., Ltd.

Huawei Technologies Co., Limited

Beijing Xiaomi Mobile Software Co., Ltd.

Peking University

Chinese Academy of Sciences

Lenovo (beijing) Limited

Mediatek Singapore Pte. Ltd.

Nokia Siemens Networks Oy

Li Ni Zhang

Zhiqiang Chen

Yuanjing Li

Ziran Zhao

Yinong Liu

Yuxiang Xing

Zhong Su

Qingping Huang

Kejun Kang

Shiwan Zhao

Jianmin Li

Xin Jin

Jianping Gu

Yaohong Liu

Haifeng Hu

Wanlong Wu

Liang Li

Qiang Li

Lars Dalsgaard

Shangmin Sun

Hua Peng

Li Long Chen

Ying Li

Sheng Hua Bao

Shuo Wang

Yu Xin Zhao

Jian Zhang

Zhi Hu Wang

Qingjun Zhang

Guang Yang

Bin Li

Ming Lei Zhang

Dongfang Wang

Yu Zhu

Li Tian

Zhong Fang Yuan

Dong Chen

Timo Erkki Lunttila

Tero Henttonen

Shuo Zhang

Jie Cui

Jin Zhang

Li Ping Yang

Chuanxiang Tang

Esa Tapani Tiirola

Wen Gao

Ming Hu

Jian Ding

Weiwei Wang

Wei Zhu Chen

Tao Liu

Liangchen Yan

Ying Chen

Ren Da

Yuan He

Yu Hu

Yan Zhang

Juan Zheng

Siwei Ma

Cong Liu

Wei Wang

Hong Wang

Chunhai Yao

Peng Liu

Hao Zhang

Yi Wang

Gang Wang

Tao Wang

Chao Li

Hui Jin

Chunli Wu

Yu Wang

Yan Wang

Yi Bin Wang

Dong Wang

Jussi-Pekka Koskinen

Dong Li

Shaw-Min Lei

Ilkka Antero Keskitalo

Cheng Fang Wang

Jian Ye Chen

Dacheng Zhang

Haitao Li

Rui Wang

Zhenbin Li

Birgit Monika Pfitzmann

Lin Y Yang

Hong Mei Zhang

Xin Zhao

William Scott Spangler

Zhiwei Wang

Tao Yang

Li Qin Shen

Jie Wang

Ke Zhao Li

Xiao Xun Zhang

Min Li

Yan Xu

Yanzhao Li

Dong Hui Liu

Managing security access in real-time to a computer system using control lists includes detecting a security event at a computer system. The security event is analyzed including an analysis of a historical corpus having historical data of security events. An access control list is generated based on the security event. A determination is made when the security event includes abnormal behavior based on the analysis of the security event and the historical corpus. The security event is published to a monitoring system for controlling access to the computer system, in response to the security event.

Data access control management computer system for event driven dynamic security

A method, system, and computer program product for reconstructing training data and building a new incremental learning model with the reconstructed training data that can be further trained. The method may include receiving new data to be inputted into a previously trained machine learning model, where the previously trained machine learning model has inaccessible training data. The method may also include generating simulated training data using a reverse form of the previously trained machine learning model. The method may also include verifying the simulated training data. The method may also include creating a new machine learning model using the simulated training data, where the new machine learning model includes a same structure as the previously trained machine learning model. The method may also include inputting the new data into the new machine learning model, where the new machine learning model is further trained with the new data.

Incremental learning through reverse data distribution

Techniques are described for linked blockchains that allow computing devices to access information from an acceptance blockchain about acceptance reports stored in an enterprise delivery blockchain that are also linked to a product blockchain that stores information of the products of the acceptance reports. An acceptance report is indicative of operability of a product in a service provided by a service provider. A processor is configured to access the block in the enterprise delivery blockchain, retrieve the acceptance report from the block in the enterprise delivery blockchain, determine an identifier, identified in the block in the enterprise delivery blockchain, to a block in an acceptance blockchain, access the block in the acceptance blockchain via the determined identifier, retrieve from the block in the acceptance blockchain contextual information of the acceptance report, and output the acceptance report and contextual information of the acceptance report.

Linked blockchain structures for accelerated multi-chain verification

The present disclosure provides a radiation inspection apparatus and a radiation inspection method. The radiation inspection apparatus includes: a radiation inspection device comprising a ray source and a detector that cooperates with the ray source to perform scanning inspection on an object to be inspected, the radiation inspection device having an inspection channel for the object to be inspected to pass through when scanning inspection is performed thereon; and traveling wheels provided at the bottom of the radiation inspection device to enable the radiation inspection apparatus to travel in an extension direction of the inspection channel, and the traveling wheels are configured to rotate 90&#xb0; to enable the radiation inspection apparatus to travel in a direction perpendicular to the extension direction of the inspection channel.

Radiation inspection apparatus comprising a radiation inspection device and wheels and radiation inspection method

The present disclosure provides a method and a system for precise location of a high slope collapse area. Firstly, the slope images in a long time series are obtained, the slope images in the long time series are composed into a two-dimensional slope deformation graph, and an area with the maximum deformation in the two-dimensional slope deformation graph is selected as a deformation area. Then, the deformation area is segmented by straight line, and the deformation region obtained by straight line segmentation is displayed in overlapping way in the slope images of long time series, and the region corresponding to the connecting line with the largest change range is selected as the monitoring line area from the overlapping image. Finally, the monitoring points are selected from the monitoring line area to determine the location of the high slope collapse area.

Method and system for precise location of high slope collapse area

The present application discloses a CT system and a detection apparatus for the CT system. The detection apparatus includes: a high-energy detector assembly including a plurality of rows of high-energy detectors arranged along a predetermined trajectory; a low-energy detector assembly including a plurality of rows of low-energy detectors arranged at intervals along the predetermined trajectory, the low-energy detector assembly and the high-energy detector assembly being disposed in a stack; a number of rows of the low-energy detectors is smaller than a number or rows of the high-energy detectors; and each row of the low-energy detectors covers a row of high-energy detectors.

CT system and detection device for CT system

Managing network interactions by engaging a networked information broadcast service, receiving information from the networked information broadcast service, filtering the information according to a profile, and sending information according to the filtered information using another network communications connection.

Smart edge network management

Systems, methods, apparatuses, and computer program products for determining UE measurement performance in communication systems, such as NR, are provided. One method may include grouping configured carriers according to synchronization signal block measurement timing configuration (SMTC) to form carrier groups, distributing measurement gaps on the configured carriers according to an intra-frequency and inter-frequency gap sharing rule, and distributing the measurement gaps available for inter-frequency measurements among inter-frequency carrier groups according to the carrier groups with non-overlapping synchronization signal block measurement timing configuration (SMTC) or the carrier groups with overlapping synchronization signal block measurement timing configuration (SMTC) to create a distribution of the measurement gaps.

Methods and apparatuses for user equipment measurement performance requirement determination

A computer-implemented method, computer system, and computer program product for blockchain enabled service reservation and delegation. The present invention may include receiving one or more first or second trigger conditions defined by a user, detecting an occurrence of the one or more first trigger conditions, deploying a smart contract based on the received one or more first trigger condition, detecting an occurrence of the one or more second trigger conditions, and deactivating the smart contract based on the received one or more second trigger conditions. The present invention may include receiving a subject registration, the subject is the user, a service, or a device. The one or more first trigger conditions may be a condition that upon its occurrence may initiate the deployment of the smart contract. The one or more second trigger conditions may be a condition that upon its occurrence may initiate the deactivation of the smart contract.

Blockchain based service reservation and delegation

A method, computer system, and a computer program product for assessing energy consumption is provided. The present invention may include determining a first set of critical energy consumption units (ECUs) involved in a target production process, the pool of the critical ECUs being obtained based on a plurality of reference production processes. The present invention may then include determining a second set of critical ECUs involved in the candidate production process. The present invention may also include determining a first set of non-critical ECUs involved in the target production process, the pool of the non-critical ECUs being obtained based on the plurality of reference production processes. The present invention may then include determining, a second set of non-critical ECUs involved in the candidate production process. The present invention may further include determining the process similarity.

Energy consumption assessment

Techniques are provided for mapping natural language to code segments. In one embodiment, the techniques involve receiving a document and software code, wherein the document comprises a natural language description of a use of the code, generating, via a vectorization process performed on the document, at least one vector or word embedding, generating, via a natural language processing technique performed on the at least one vector or word embedding, a first label set, generating, via a machine learning analysis of the software code, a second label set, determining, based on a comparison of the first label set and the second label set, a match confidence between the document and the software code, wherein the match confidence indicates a measure of similarity between the first label set and the second label set, and upon determining that the match confidence exceeds a predefined threshold, mapping the document to the software code.

Mapping natural language and code segments

A dam slope deformation monitoring system and method are provided. The monitoring system monitors an entire dam in a reservoir area by using an unmanned aerial vehicle (UAV) photogrammetry system, and determines an encrypted monitoring area (steep slope) with the relatively large deformation and a relatively large digital elevation difference; determines, in the intensive monitoring area, a first level key monitoring area with the larger deformation by using a ground-based radar interferometry measurement system; determines, in the first level key monitoring area, a second level key monitoring area with the larger deformation by using a ground-based three-dimensional lidar measurement system; determines, in the second level key monitoring area, a key monitoring particle with a high deformation speed by using a global navigation satellite system (GNSS). The core chip stack is used to monitor and warn the collapse process in the area where the key monitoring particles are located.

Dam slope deformation monitoring system and method

The present disclosure provides a back scattering inspection system and a back scattering inspection method. The back scattering inspection system includes a frame and a back scattering inspection device. The rack includes a track arranged vertically or obliquely relative to the ground, and a space enclosed by the track forms an inspection channel; and the back scattering inspection device includes a back scattering ray emitting device and a back scattering detector, and the back scattering inspection device is movably disposed on the track for inspecting an inspected object passing through the inspection channel. The back scattering inspection system can perform back scattering inspection on a plurality of surfaces of the inspected object.

Back scattering inspection system and back scattering inspection method

Methods and systems for selecting a tool for a project is described. In an example, a processor can run a machine learning model to generate a set of requirements to implement a project. The processor can identify a keyword from the set of requirements. The processor can search for the keyword on a search engine. The processor can receive a search result from the search engine corresponding to the keyword. The processor can identify, based on the search result, a tool that can be used to implement the project, where the tool can be in compliance with the set of requirements.

Machine learning for technical tool selection

In an approach for a text block recognition in a document, a processor detects characters in the document using an object detection technique. A processor identifies positions of the detected characters in the document. A processor analyzes semantic connectivity among the detected characters based on the positions and semantic connectivity of the characters. A processor recognizes text blocks of related characters based on the semantic connectivity analysis. A processor outputs the text blocks associated with the related characters.

Text block recognition based on discrete character recognition and text information connectivity

Growing community of inventors

Beijing, China

Li Ni Zhang