International Business Machines Corporation

Tsinghua University

Boe Technology Group Co., Ltd.

Beijing Boe Display Technology Co., Ltd.

Sifotonics Technologies Co., Ltd.

Canaan Creative Co., Ltd.

Huawei Technologies Co., Limited

Beijing Sifang Automation Co., Ltd.

Intel Corporation

Beijing Dajia Internet Information Technology Co., Ltd.

Beijing Jingdong Century Trading Co., Ltd.

China Iwncomm Co., Ltd.

Beijing Wodong Tianjun Information Technology Co., Ltd.

Chang'an University

State Grid Corporation of China

Ning Zhang

Chongqing Kang

Yu Chen Zhou

Zhihua Sun

Dong Pan

Yu Zheng

Nangeng Zhang

Xiao Bi Liang

Yi Wang

Xu Zhang

Shulin Yao

Guohuo Su

Wei Lin

Yuan Wx Li

Dan Liu

Xue Ying Zhang

Lei Tian

Yinlong Zhang

Na Zhao

Tuo Shi

Pengfei Cai

Ching-yin Hong

Tzung-I Su

Hui Wen

Duo Chen

Qing Xia

Wenpeng Ma

Zhou Fang

Yi Shao

Yongbo Shao

Yan Li

Jian Zhang

Wei Zhang

Jing Min Xu

Yuan Wang

Manxia Tie

Yang Gao

Jian Wu

Yujie Gao

Bianling Zhang

Yuan Liu

Sheng Zhang

Ning Dong

Long Zhao

Pengfei Hu

Weichao Ma

Jing Xu

Jiwei Wei

Zhe Sun

Guangfu Tang

Zhiyuan He

Jingkun Liu

Li Na Wang

Xiaoguang Wei

Jituo Tang

Rangchen Yu

Ershun Du

Jialin Feng

Xinping Yu

Wanlei Dai

Hengxing Lan

Qixin Chen

Bo Li

Rui Guan

Weifeng Sun

Mervyn Lan

Yuandong Liu

Bei Zhang

Tong Lu

Wandi Zhou

Xinying Wang

Yaohua Cheng

Xin Tian

Houjian Tang

Xumao Ye

Xueliang Li

Shaobin Wang

Zhijie Zheng

Hong Mou

Xiaoming Liu

Yan Wang

Hui Pang

Jie Zhang

Chenghao Wang

Rong Hong Wan

Xiaonan Gao

Xiao Li Zhang

Jianing Zhang

Dong Liu

Yehui Liu

Xiangbin Gao

Ying Mou

Zhao Chen

Shanjie Jia

Shijie Liu

Han Zhang

Yi Zhu

Xiaohai Gao

Xin Wei

The present disclosure relates to a method and a system for data synchronization, and a computer-readable storage medium. In the method, multiple data sources are connected in response to the operation of configuring data sources in the first interactive interface. Then, in response to the operation of creating a task in the second interactive interface, a task configuration file can be generated. Afterwards, in response to the operation of starting the data synchronization task in the third interactive interface, the to-be-synchronized data is synchronized from the source data source to the target data source. In this way, in the embodiments, data transmission between different data sources can be achieved through visual configuration operations, without the need for repeated development, and the configuration process is simple, which can reduce learning costs.

Methods and systems for data synchronization, and computer-readable storage media

Determining a class-specific predictor indicator importance can include generating, using machine learning, a prediction model having a tree structure including nodes, class label subgroups, and class-specific predictor indicators. A class-specific predictor indicator importance can be generated for a selected class-specific predictor indicator by merging a term predictor indicator frequency and a purity predictor indicator frequency at each instance of the selected class-specific predictor indicator within one or more nodes of the tree structure. A representation of the tree structure displayed in a graphical user interface can depict each path between a root node of the tree structure and a leaf node mapped to the selected class label subgroup having a node containing an instance of the selected class-specific predictor indicator in a manner that contrasts with other paths between the root node and other leaf nodes of the tree structure.

Class-specific predictor importance

A method, system, and computer for balance weighted voting. The method may comprise receiving, by a network interface, a scoring request. The method may further comprise, by a processing unit in response to the scoring request, generating a plurality of scores using a plurality of models. normalizing the plurality of scores, calculating an evaluation-based weighting factor from a first subset of the normalized scores, calculating a prediction-based based weighting factor from a second subset of the normalized scores, and calculating a balanced weighting predictor from the evaluation-based weighting factor and the prediction-based weighting factor. The method may further comprise returning, by the network interface, the balanced weighting predictor as an ensemble score for the scoring request.

Balance weighted voting

A method and apparatus for storing data are provided. The method comprises: obtaining a dataset to be stored and a storage model, wherein said dataset comprises a source storage parameter, and the storage model comprises a target storage parameter; in response to determining that the source storage parameter is consistent with the target storage parameter, obtaining a storage key value of said dataset; obtaining raw data that is written into said dataset for the first time and corresponds to the source storage parameter and change data that is in said dataset and corresponds to the source storage parameter; and storing the raw data and the change data in the storage model according to the storage key value.

Method and apparatus for storing data

A computational heat dissipation structure includes a circuit board including a plurality of heating components; and a radiator provided corresponding to the circuit board; wherein a space between the adjacent heating components is negatively correlated with heat dissipation efficiency of a region where the adjacent heating components are located. Since the space between the adjacent heating components of the disclosure is negatively correlated with the heat dissipation efficiency of the region where the adjacent heating components are located, i.e., the higher the heat dissipation efficiency of the region where the adjacent heating components are located is, the smaller the space between the adjacent heating components in the region will be, the heat dissipation efficiencies corresponding to the heating components are balanced, and load of a fan is reduced.

Computational heat dissipation structure, computing device comprising same, mine

An operation decision-making method for centralized cloud energy storage capable of participating in power grid auxiliary services. The method includes: establishing a model predictive control model; obtaining operating parameters of the current period t from a grid control center at a beginning of a current decision-making cycle; predicting operating parameters within the predetermined time range based on historical data; obtaining decision variables according to the model predictive control model, the operating parameters of the current period and the operating parameters within the predetermined time range; setting a charging power of the centralized energy storage facility in the current period t and a discharging power according to the decision variables; obtaining an actual power of the centralized energy storage facility at an end of the current period t through sensors installed on the centralized energy storage facility as a parameter for a next decision period.

Operation decision-making method for centralized cloud energy storage capable of participating in power grid auxiliary services

A high-speed remote landslide simulation test device with a variable angle includes a support adjustment component, slide plates, and loose leaves. The device first transmits the operation paths of adjusting the slide plate at different angles to the controller, and the personnel operates the control panel to control the support jack, the motor, and the electromagnet to start and stop through the controller, the output shaft of the motor drives the stainless steel threaded rod to rotate, the controller first energizes one electromagnet and disconnects the other three electromagnets, which can only make the stainless steel threaded rod rotate in a fixed position inside the inner threaded pipe, and the three inner threaded pipes follow the rotation direction of the stainless steel threaded rod, thus, the position of the support jack can be moved separately.

High-speed remote landslide simulation test device with a variable angle

Disclosed is a centralized cloud energy storage system for massive and distributed users and a transaction settlement method thereof, a storage medium, and a terminal. The system includes: a centralized energy storage facility invested and operated by a cloud energy storage service provider; the massive and distributed users; and a power network and a user energy management system connecting the centralized energy storage facility with the massive and distributed users. A user sends a charging and discharging request to the cloud energy storage service provider through the user energy management system, and the cloud energy storage service provider issues a charging and discharging instruction to the centralized cloud energy storage system.

Centralized cloud energy storage system and transaction settlement method thereof, storage medium, and terminal

An approach is provided in which the approach trains a first machine learning model using a set of features corresponding to a set of build blocks. The set of build blocks include at least one dependency build block and at least one artifact package build block. The approach predicts a set of risk values of the set of build blocks using the trained first machine learning model, and marks at least one of the build blocks as a bottleneck in response to comparing the set of risk values against a risk threshold.

Deploy build blocks and analyze build bottleneck

Various embodiments of a monolithic transceiver are described, which may be fabricated on a semiconductor substrate. The monolithic transceiver includes a coherent receiver module (CRM), a coherent transmitter module (CTM), and a local oscillation splitter to feed a local oscillation to the CRM and the CTM with a tunable power ratio. The monolithic transceiver provides tunable responsivity by employing photodiodes for opto-electrical conversion. The monolithic transceiver also employs a polarization beam rotator-splitter (PBRS) and a polarization beam rotator-combiner (PBRC) for supporting modulation schemes including polarization multiplexed quadrature amplitude modulation (PM-QAM) and polarization multiplexed quadrature phase shift keying (PM-QPSK).

Monolithic integrated coherent transceiver

The disclosure relates to a quantile probabilistic short-term power load ensemble forecasting method. The method includes: dividing historical power load data of a power system into a first data set and a second data set; performing bootstrap sampling on the first data set to generate multiple training data sets; training a neural network quantile regression model, a random forest quantile regression model and a gradient boosting regression tree regression model for the each training data set to obtain quantile forecasting models; establishing an optimization model with an objective function for minimizing the quantile loss for the second data set, and determining a weight for each of the quantile regression models, to calculate a power load ensemble forecasting model for predicting the power load in the power system.

Method for quantile probabilistic short-term power load ensemble forecasting, electronic device and storage medium

This application can provide a method and electronic device for separating mixed sound signal. The method includes: obtaining a first hidden variable representing a human voice feature and a second hidden variable representing an accompaniment sound feature by inputting feature data of a mixed sound extracted from a mixed sound signal into a coding model for the mixed sound; obtaining first feature data of a human voice and second feature data of an accompaniment sound by inputting the first hidden variable and the second hidden variable into a first decoding model for the human voice and a second decoding model for the accompaniment sound respectively; and obtaining, based on the first feature data and the second feature data, the human voice and the accompaniment sound.

Method and electronic device for separating mixed sound signal

A computational heat dissipation structure includes a circuit board including a plurality of heating components; and a radiator provided corresponding to the circuit board; wherein a space between the adjacent heating components is negatively correlated with heat dissipation efficiency of a region where the adjacent heating components are located. The computing device of the disclosure includes a device housing enclosing an enclosed heat-dissipation air duct, and the computational heat dissipation structure; the computational heat dissipation structure is located in the enclosed heat-dissipation air duct. Since the space between the adjacent heating components of the disclosure is negatively correlated with the heat dissipation efficiency of the region where the adjacent heating components are located, i.e., the higher the heat dissipation efficiency of the region where the adjacent heating components are located is, the smaller the space between the adjacent heating components in the region will be, the heat dissipation efficiencies of the heating components are balanced, and load of a fan is reduced. Therefore, the mine provided by the disclosure avoids the problem of overheating damage of the heating components even if a large number of computing devices are gathered in the same space.

Growing community of inventors

Beijing, China

Ning Zhang