Infinitus (china) Company Ltd.

Beijing University of Technology

Microsoft Technology Licensing, LLC

Chinese Academy of Sciences

Other

Beijing Didi Infinity Technology and Development Co., Ltd.

Boe Technology Group Co., Ltd.

Beijing Kingsoft Internet Security Software Co., Ltd.

Institute of Microbiology, Guangdong Academy of Sciences (guangdong Detection Center of Microbiology)

Beijing Medical University

Beijing Medical University United Biological Engineering Company

Jian Tang

Junfei Qiao

Guangrong Liu

Wenjuan Deng

Li Wang

Jiang Tao Li

Chong Luo

Ninghua Zhu

Heng Xia

Wei Li

Kun Wu

Hua Cai

Yong Chao Zhou

Jian-guang Lou

Yusuo Hu

Xuezheng Liu

Zhen Luo

Tengfei Hao

Nuannuan Shi

Zhenyu Guo

Guanghui Chen

Dalong Ma

Wenling Han

Jiaqiang Huang

Zhengping Che

Chengxiang Yin

Zihao Guo

Quansheng Song

Chunhui Di

Zhi Zhang

Yu Liu

Zheng Zhang

Nan Zhang

Lintao Zhang

Lidong Zhou

Dong Liang

Qi Yang

Xiaofei Xu

Bo Jiang

Kangzong Zhang

Ying Zhang

Ming Wu

Min Wang

Yiting Yang

Zhe Xu

Guoqiang Jiao

JunFeng Yang

Feng Han

Huawei Zhu

Xiaoling Wang

Mao Yang

Zheng Xiao

Liugang Ding

Zehua Chen

Zhongbao Yue

Haiqing Yuan

Yong Zhou

Danlin He

Yingmei Zhang

Yousheng Zheng

Dandan Wang

Jiaoyan Ren

TianZheng Wang

Pengsheng Li

Xiaoge Liu

Xiaoxian Wu

Haijun He

Xiuying Kou

Yizhen Xie

Qingping Wu

Lijun Zhuo

Manjun Cai

Yuanchao Liu

JiaKun Chen

Huiping Hu

Yipeng Zou

Canlin Cui

Xuelu Yao

Qian Tao

Yonghua Wang

Chenfeng Jing

William Ma

Wenjuan Fang

Yingme Zhang

Xiaozhong Zhou

The present invention discloses a newstrain HE015, and a molecular marker and use thereof. Wild fungi are widely collected throughout China and subjected to systematic strain breeding to obtain a new fine-qualitystrain HE015. The strain HE015 was preserved in Guangdong Microbial Culture Collection Center on May 12, 2022 with an accession number of GDMCC No: 62464. The genetic background of the strain is obviously different from that of the existingspecies; therefore, the new strain is of important value and significance in supplementing fine-quality cultivatedvarieties, meeting the market demand and promoting high-quality development of the industry. The present invention further provides a specific molecular marker and a rapid detection method for detecting and identifying the strain HE015.

strain HE015, molecular markers and uses thereof

The invention provides a soft measurement method for dioxin emission of grate furnace MSWI process based on simplified deep forest regression of residual fitting mechanism. The highly toxic pollutant dioxin (DXN) generated in the solid waste incineration process is a key environmental index which must be subjected to control. The rapid and accurate soft measurement of the DXN emission concentration is an urgent affair for reducing the emission control of the pollutants. The method comprises the following steps: firstly, carrying out feature selection on a high-dimensional process variable by adopting mutual information and significance test; then, constructing a simplified deep forest regression (SDFR) algorithm to learn a nonlinear relationship between the selected process variable and the DXN emission concentration; and finally, designing a gradient enhancement strategy based on a residual error fitting (REF) mechanism to improve the generalization performance of a layer-by-layer learning process. The method is superior to other methods in the aspects of prediction precision and time consumption.

Soft measurement method for dioxin emission of grate furnace MSWI process based on simplified deep forest regression of residual fitting mechanism

The present disclosure relates to a system and a method for performing instance segmentation based on semantic segmentation that is capable of (1) processing HD images in real-time given semantic segmentation; 2) delivering comparable performance with Mask R-CNN in terms of accuracy when combined with a widely-used semantic segmentation method (such as DPC), while consistently outperforms a state-of-the-art real-time solution; (3) working flexibly with any semantic segmentation model for instance segmentation; (4) outperforming Mask R-CNN if the given semantic segmentation is sufficiently good; and (5) being easily extended to panoptic segmentation.

Systems and methods for instance segmentation based on semantic segmentation

A simulation analysis system for dioxin concentration in furnace of municipal solid waste incineration process includes an area division module, the area division module is connected with a numerical simulation module, the numerical simulation module is connected with a single-factor analysis module, the single-factor analysis module includes an orthogonal test analysis module, and the orthogonal test analysis module is connected with a control module; the area division module is used for dividing areas in the incinerator, the numerical simulation module is used for conducting modeling simulation on the divided areas, the single-factor analysis module is used for conducting single-factor analysis according to the output of the numerical simulation module, and the orthogonal test analysis module is used for conducting orthogonal test analysis according to the output of the numerical simulation module.

Simulation analysis system and method for dioxin concentration in furnace of municipal solid waste incineration process

A hardware-in-loop simulation experiment platform of multiple input and multiple output loop control for MSWI process includes a real equipment layer and a virtual object layer, where in the real equipment layer and the virtual object layer realize communication through hard wirings and data acquisition cards, the real equipment layer and virtual object layer realize communication in OPC mode through Ethernet; the real equipment layer comprises monitoring equipment and control equipment, and the virtual object layer comprises an MSWI actuator model, an MSWI instrument device model and an MSWI process object model which are respectively operated in different industrial personal computers. The hardware-in-loop simulation experiment platform of multiple input and multiple output loop control for MSWI process provided by the invention is used for providing a reliable engineering verification environment for MSWI process control.

Hardware-in-loop simulation experiment platform of multiple input and multiple output loop control for MSWI process

Disclosed is a soft measurement method of DXN emission concentration based on multi-source latent feature selective ensemble (SEN) modeling. First, MSWI process data is divided into subsystems of different sources according to industrial processes, and principal component analysis (PCA) is used to separately extract the subsystems' latent features and conduct multi-source latent feature primary selection according to the threshold value of the principal component contribution rate preset by experience. Using mutual information (MI) to evaluate the correlation between the latent features of the primary selection and DXN, and adaptively determine the upper and lower limits and thresholds of the latent feature reselection; finally, based on the reselected latent features, a least squares-support vector machine (LS-SVM) algorithm with a hyperparameter adaptive selection mechanism is used to establish DXN emission concentration sub-models for different subsystems, and based on branch and bound (BB) and prediction error information entropy weighting algorithm to optimize the selection of sub-models and calculation weights coefficient, a SEN soft measurement model of DXN emission concentration is constructed.

Soft measurement method for dioxin emission concentration in municipal solid waste incineration process

A method for detecting a dioxin emission concentration of a municipal solid waste incineration process based on multi-level feature selection. A grate furnace-based MSWI process is divided into a plurality of sub-processes. A correlation coefficient value, a mutual information value and a comprehensive evaluation value between each of original input features of the sub-processes and the DXN emission concentration are obtained, thereby obtaining first-level features. The first-level features are selected and statistically processed by adopting a GAPLS-based feature selection algorithm and according to redundancy between different features, thereby obtaining second-level features. Third-level features are obtained according to the first-level features and statistical results of the second-level features. A PLS algorithm-based DXN detection model is established based on model prediction performance and the third-level features. The obtained PLS algorithm-based DXN detection model is applied to detect the DXN emission concentration of the MSWI process.

Method for detecting a dioxin emission concentration of a municipal solid waste incineration process based on multi-level feature selection

A rapid demagnetization method based on characteristics of magnetic media. In the method, basic information is obtained by a recognition module of magnetic media by means of multi-source sensing collaboration. The magnetic medium is identified by using a data processing technology and a magnetic medium identification algorithm, and then the characteristic information is extracted. Optimized set values of demagnetization parameters are obtained by a demagnetization parameter optimizing and setting module based on a demagnetization optimizing model. Demagnetization parameter set values are tracked by a closed-loop control module of a demagnetization magnetic field in combination with domain expert knowledge by using a closed-loop control mechanism integrated with a magnetic field control algorithm, a charging-discharging device, a magnetic field generating device, a magnetic field sensor and an environmental sensor, completing the rapid demagnetization of the magnetic medium.

Rapid demagnetization method based on characteristics of magnetic media

Embodiments of the disclosure provide systems and methods for performing motion transfer using a learning model. An exemplary system may include a communication interface configured to receive a first image including a first movable object and a second image including a second movable object. The system may also include at least one processor coupled to the communication interface. The at least one processor may be configured to extract a first set of motion features of the first movable object from the first image using a first encoder of the learning model and extract a first set of static features of the second movable object from the second image using a second encoder of the learning model. The at least one processor may also be configured to generate a third image by synthesizing the first set of motion features and the first set of static features.

Systems and methods for performing motion transfer using a learning model

The invention relates to the field of health food technologies, and particularly to a composition and an application thereof in preparing a product for protecting mitochondria. The invention provides a composition, the raw materials of which includeand nicotinamide. The composition has the effects of improving an oxidative stress level under a mitochondrial dysfunction and delaying mitochondrion-related aging. Compared with a single constituent, constituents in the composition cooperate with each other to produce a synergistic effect, which significantly improves an effect of protecting a mitochondrial function.

Composition and application thereof in preparing product for protecting mitochondria

A frequency spectrum detection system including: a frequency-scan light source, a phase modulator, an optical filter, an optical fiber, a photodetector, a power divider, an electric amplifier, a combiner, an electric filter, and an oscilloscope. The frequency-scan light source, the phase modulator, the optical filter, the photodetector, and the electric amplifier form a ring-shaped optoelectronic oscillator resonant cavity, which is configured to generate a frequency-scan signal. The combiner is configured to receive a signal to be measured. The phase modulator is configured to modulate the combined electrical signal onto a frequency-scan optical signal. The optical filter is configured to selectively attenuate or amplify one sideband of double sidebands of the double-sideband phase-modulated optical signal. The photodetector is configured to detect a signal filtered by the optical filter.

Frequency spectrum detection system

A Fourier domain mode-locked optoelectronic oscillator includes a laser light source, a phase modulator, an optical notch filter, a photodetector, an electrical amplifier and a power divider; wherein the laser light source, the phase modulator, the optical notch filter and the photodetector together form a swept microwave photonic filter. The passband of the swept microwave photonic filter is determined by the difference in wavelength corresponding to the laser light source and the notch positions of the optical notch filter. In the present disclosure, the laser light source, the phase modulator, the optical notch filter, and the photodetector are configured to form a fast swept microwave photonic filter, the sweeping of a passband of the microwave photonic filter is realized by the sweeping of the laser light source or the optical notch filter, and the change in the filter's passband is matched with the latency for delivering a signal in the optoelectronic oscillator loop for one trip. As such, Fourier domain mode locking is realized, and a broadband adjustable chirped microwave signal can be output.

Fourier domain mode-locked optoelectronic oscillator

A control device for robot arm is provided that comprises: an elastic member comprising a palm portion and a finger portion, the palm portion being coupled to the finger portion, the elastic member being adapted to receive a part of body of a user; a detecting electrode located on an inner surface of the palm portion and configured to detect a surface electromyogram signal of the part of body for identifying a gesture of the part of body of the user; a sensor located on the elastic member for acquiring data relating to a three-dimensional motion of the part of body of the user to identify the three-dimensional motion of the part of body of the user, wherein the surface electromyogram signal and the data relating the three-dimensional motion are adaptable to be used to control the robot arm to perform the gesture and the three-dimensional motion.

Control device and control method for robot arm

The present invention relates to a composition having an anti-glycation effect and an application thereof. The anti-glycation composition includes the following constituents in parts by mass: 0.1 to 5 parts ofextract, 0.1 to 5 parts ofextract and 0.1 to 2 part ofextract, wherein in theextract, a mass content of polyphenol is more than or equal to 10%, and a mass content of verbascoside is more than or equal to 10%; in theextract, a mass content of polyphenol is more than or equal to 30%, and a mass content of punicalagin is more than or equal to 8%; and in theextract, a mass content of polyphenol is more than or equal to 10%, and a mass content of hydroxytyrosol is more than or equal to 3%.

Composition having anti-glycation effect and application thereof

According to aspects of the inventive concepts, provided is a method for erasing information based on a dual-security mechanism. A storage medium feature database, an information erasure feature database, and a firmware system feature database are built to match cases for to-be-erased electronic scrap. An erasure solution and a native system data package are generated based on the matching results. The information is erased and an erasure result is evaluated; and the information is recovered on the erased electronic scrap, and a recovery result is evaluated, to implement comprehensive double security evaluation. The information erasure validity of the electronic scrap is checked based on the evaluation results. If an erasure result is invalid, erasure solutions are corrected online based on the evaluation result, until the erasure result is valid and the electronic scrap with a native system recovered is obtained.

Method for erasing information from electronic scrap based on dual-security mechanism

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Beijing, China

Jian Tang