Origin Wireless, Inc.

Huawei Technologies Co., Limited

University of Electronic Science and Technology of China

Chengdu University of Information Technology

Other

Southwest Petroleum University

Source Photonics Inc.

Origin Research Wireless, Inc.

Yan Chen

K J Ray Liu

Yi Han

Hang Ma

Hung-Quoc Duc Lai

Beibei Wang

Feng Han

Zoltan Safar

Fei Luo

Yu-Han Yang

Yunping Chen

Wendong Hu

Wenjie Zhou

Yanqiong Hao

Tiangui Xiao

Jianhong Gan

Chen Chen

Qinyi Xu

Zhung-Han Wu

Ping Li

Yongkai Zhang

Hongping Shu

Balin Xu

Jingyi Tao

Ying Zhang

Jian Shao

Huahong Li

Xiaohang Wen

Juzhang Ren

Jian Yu

Yong Fan

Wei Zhu

Oscar Chi-Lim Au

Feng Zhang

Jianjun Yang

Yu Peng

Yang Wang

Yang Li

Xiongshu Yi

Xiangchao Shi

Ling Tong

Yu Tian

Chao Wang

Tao Zhang

Meiling Lu

Weihong Han

Kai Tian

Yuan Zhong

Zhaoyang Hu

Thomas Liljeberg

Hu Deng

Yue Yang

Yuming Wang

Lianwen Qi

Qiyang Peng

Chengchao Li

Yaqiang Wang

Cheng Gan

Yixue Deng

Yuxia Li

Zhuolin Chang

Zhiliang Shu

Jiajun Zhou

Qing Xiao

Yang Cui

Feixiang Tan

Yuchuan An

Yu Yi

Taisong Xiong

Bo Gao

Yukun Yang

Jing Chen

Yangbing Li

Ming Xian

Zhicheng Li

Gaocheng Feng

Yuehao Liu

Kj Ray Liu

Meng-Lin Ku

Provided is an automatic hail identification method based on radar image spatial mapping, including: obtaining a base reflectivity radar image; grading radar echoes using intensity values represented by different colors, and detecting radar center coordinates; performing spatial mapping, and establishing a dictionary for radar echo intensity in a new radar image space; after expanding the dictionary, transforming V-shaped notch and TBSS characteristics behind an original radar strong echo area into a standard rectangle and a triangle behind a strong echo in the new radar image space; determining whether there is a V-shaped notch and TBSS according to whether there is a standard rectangle or a triangle behind the strong echo; and if so, marking in the original radar image and calculating a position where hail occurs. A rapid and accurate method is provided for automation of hail monitoring and early warning and elimination of continuous high-intensity analysis pressure of forecasters.

Automatic hail identification method based on radar image spatial mapping

An automatic recognition method for a dry quasi-stationary front in Kunming, Yunnan, China is provided. The automatic recognition method includes: reading data; calculating, by a differential method, a temperature lapse rate between each layer of each point from a ground surface to 650 hPa, and acquiring a maximum inversion trend value; acquiring an initially selected inversion distribution based on the maximum inversion trend value; removing a nighttime clear sky radiation inversion, retaining only a frontal inversion, and binarizing (0, 1); finding a boundary between inversion and non-inversion; removing the abnormal candidate frontal points, and acquiring frontal nodes; removing meso- and micro-scale systems; and performing one-dimensional Gaussian filtering on longitude data of the frontal nodes, and connecting the filtered frontal nodes to acquire a quasi-stationary front in Kunming, Yunnan, China.

Automatic recognition method for dry quasi-stationary front in kunming, yunnan, china

The present disclosure discloses a method for automatically identifying south troughs by improved Laplace and relates to the technical field of meteorology. The method includes the following steps: acquiring grid data of a geopotential height field; calculating a gradient field of the geopotential height field in an x direction; searching for a turning point where a gradient value turned from being negative to being positive, and cleaning the gradient field; calculating a divergence of the x direction to obtain an improved Laplacian numerical value L′; performing 0,1 binarization processing on the L′ to obtain a black-and-white image and a plurality of targets of potential troughs, merging the black-and-white image and the plurality of targets of the potential troughs by expansion, recovering original scale through erosion, and selecting an effective target through an angle of direction of a contour and an axial ratio.

Method for automatically identifying south troughs by improved Laplace

Embodiments include a method for retrieving atmospheric aerosol based on statistical segmentation. Firstly a multi-band remote sensing image including an apparent reflectance and an aerosol optical thickness look-up table corresponding to a retrieval band is obtained, then pixels are partitioned and screened according to apparent reflectance segments of a mid-infrared 2.1 micrometer band. After that the retained pixel sets are further partitioned and screened according to the apparent reflectance segments of the mid-infrared 1.6 micrometer band. Finally the obtained pixel sets are partitioned into two categories according to the pixel number, one category including pixels having more pixels, the other including those with less pixels. The category with more pixels is taken as the reference part for retrieval.

Atmospheric aerosol inversion based on statistical and OTSU segmentation

A method for predicting and optimizing an ROP for oil and gas drilling based on Bayesian optimization includes: acquiring raw drilling data according to a preset sampling period, constructing an initial sample data set based on the raw drilling data, constructing an ROP prediction model based on the initial sample data set, and predicting an ROP at a next sample point through a Gaussian process regression based on the ROP prediction model. The present invention realizes rapid analysis of historical drilling data and accurate prediction of an ROP range at a sample point in a feasible domain. The method can obtain an optimized ROP and an optimized engineering parameter through Bayesian optimization, and obtain an engineering parameter corresponding to an optimal ROP. The method has few restrictions on the drilling engineering parameter and the raw formation parameter, improves prediction accuracy, and avoids the problem of blurred parameter value boundaries.

Method for predicting and optimizing rate of penetration (ROP) for oil and gas drilling based on bayesian optimization

The present teaching relates to vital sign detection and monitoring based on channel state information (CSI). In one example, an apparatus for vital sign detection is disclosed. The apparatus comprises a receiver, a processor and a memory communicatively coupled with the processor. The receiver is configured for receiving at least one wireless signal from a multipath channel that can be impacted by a vital sign of at least one living being. The processor is configured for: extracting a time series of channel state information (CSI) for the multipath channel from the at least one wireless signal, obtaining one or more periodic fluctuations based on a spectral analysis of the time series of CSI, and determining whether the vital sign is present based on the one or more periodic fluctuations.

Methods, apparatus, servers, and systems for vital signs detection and monitoring

A method, a device and a storage medium for extracting height and deformation information of a high voltage transmission tower by using SAR tomography are disclosed. A Spaceborne satellite is used to obtain a plurality of high resolution SAR images of a region having a high voltage transmission tower. The images are then pre-processed via registration, dechirp and phase compensation to obtain observation data. The observation data is then discretized. Then the discretized observation data is resampled by using singular value decomposition, and Akaike information criterion is used to estimate the number of scattering points in the resampled observation data. The obtained number of the scattering points is used to eliminate the singular values in the reconstructed signal. Finally, the sparsity of the observation data is used together with compression sensing to realize signal reconstruction, thereby extracting the height and deformation rate at a position on the high voltage transmission tower.

Method, device and storage medium for extracting height and deformation information of high voltage transmission tower by using SAR tomography

This application relates to a scheduling method and a device. In the scheduling method, a base station sends, at a first moment, uplink grant (UL GRANT) information to a terminal that is to perform uplink data transmission; the base station sends, at a second moment, downlink data to a terminal that is determined by the base station and that is to perform downlink data transmission, where the second moment is a moment at which the terminal that is to perform uplink data transmission sends uplink data after receiving the uplink grant information at the first moment.

Scheduling method and device

The predicted explosive growth in the number of wireless devices and mobile applications utilizing wireless networks makes it time for engineers to face the high network densification challenge where massive numbers of terminal devices (TDs) coexist and require both high-rate and low-latency wireless data transmissions. We describe a multiple access point (AP) Time-Reversal Division Multiple Access (TRDMA) downlink system that utilizes the natural spatial and temporal focusing properties of Time Reversal (TR) based communications, where the interference to unintended receivers is automatically at least partially mitigated. As a result, in some implementations, the TRDMA system can achieve full or nearly-full spectrum reuse without any coordination among APs. The performance of the TRDMA system is investigated in both an open access model where an AP is open to all the TDs and a closed access model where an AP is only open to specific TDs. It is shown that in the open access model, the TRDMA system can be easily extended by adding more APs to fit various scenarios. In the closed access model, the TRDMA system is failure-robust such that the performance degradation caused by neighboring APs is graceful. Moreover, the packet delay of the TRDMA system can be much lower than that of the IEEE 802.11 based system.

Time-reversal scalability for high network densification

This application discloses a method of differentiating stable angina pectoris from acute coronary syndrome, including: obtaining a blood plasma sample from a patient; measuring a relative concentration of at least one metabolic biomarker in the blood plasma sample, wherein the at least one metabolic biomarker is selected from the group consisting of malic acid, taurine, arachidonic acid, citramalic acid, methionine, and pentadecanoic acid; calculating a value according to the relative concentration of at least one metabolic biomarker; comparing the value with a predefined critical value, if the value is more than the predefined critical value, the patient has the acute coronary syndrome, otherwise, the patient has the stable angina pectoris. The method and a diagnostic kit thereof is capable of differential diagnosis of SA and ACS and it can improve the diagnostic convenience and promote the diagnostic standardization.

Method of differentiating stable angina pectoris from acute coronary syndrome and diagnostic kit thereof

The present teaching relates to human identification based on human radio biometric information in an environment without line-of-sight. In one example, an apparatus for human identification is disclosed. The apparatus comprises a receiver, a processor and a memory communicatively coupled with the processor. The receiver is configured for receiving at least one wireless signal from a multipath channel that is impacted by a person to be identified. The processor is configured for: extracting channel state information (CSI) from the at least one wireless signal, obtaining radio biometric information based on the CSI, wherein the radio biometric information represents how the at least one wireless signal was impacted by at least part of a body of the person, and determining an identity of the person based on the radio biometric information.

Methods, apparatus, servers, and systems for human identification based on human radio biometric information

The present teaching relates to wireless power transmission based on power waveforming. In one example, an apparatus for wireless power transmission is disclosed. The apparatus comprises: at least one antenna configured for receiving at least one wireless signal from a receiver, via a multipath channel between the apparatus and the receiver; and at least one processor configured for estimating at least one channel state information (CSI) of the multipath channel based on the at least one wireless signal, determining a power transmission waveform based on the at least one CSI, and calculating a power transfer signal based on the power transmission waveform and a reference signal. The at least one antenna is further configured for wirelessly transmitting the power transfer signal to the receiver.

Method, system, and apparatus for wireless power transmission based on power waveforming

An apparatus for determining symbol timing in a communication system is provided. The apparatus includes a memory communicatively coupled to at least one processor. The at least one processor is configured to receive a first signal that includes a preamble sent at a first sampling rate with a first modulation through a channel and a data frame sent at a second sampling rate with a second modulation through the channel. The preamble includes a received code sequence, and the data frame includes a plurality of data symbols. The at least one processor is configured to compute a second signal that represents an estimate of an equivalent channel response using at least one of a known code sequence and the received first signal, down-sample the second signal and compute signal-to-interference-plus-noise ratios at a plurality of candidate timing offsets, and determine a symbol timing based on a particular timing offset associated with one of the computed signal-to-interference-plus-noise ratios.

Time-reversal communication systems

A time-reversal positioning system includes a storage storing first data representing channel impulse responses derived from probe signals sent from a plurality of positions and second data representing coordinates of the positions. A data processor determines a position of a terminal device based on the stored channel impulse responses and a time-reversed signal determined based on a time-reversed version of a channel impulse response that is estimated based on a channel probing signal sent from the terminal device.

Wireless signals and techniques for determining locations of objects in multi-path environments

A detection apparatus concurrently connected to N optical module cages by using N paths. The apparatus accesses a conflict register, acquires an occupancy status of the N paths according to a value of the conflict register, then performs a concurrent probe on M optical module cages connected to M paths that are in the N paths and whose occupancy status are not occupied by system software, to obtain a probe result, where the probe result includes availability information of optical modules of the M optical module cages and a type of the optical modules, and finally, writes the probe result into an availability register, so that the system software can acquire the probe result from the availability register. Therefore, whether an optical module is available in an optical module cage can be monitored in real time and fast insertion and removal operations on the optical module can be sensed.

Optical module availability detection method and apparatus

Growing community of inventors

Chengdu, China

Yan Chen