Boe Technology Group Co., Ltd.

Beijing University of Technology

Guizhou Expressway Group Co., Ltd (cn)

International Business Machines Corporation

Loongson Technology Corporation Limited

Samsung Electronics Co., Ltd.

China Agricultural University

Huaneng Clean Energy Research Institute

Longsoon Technology Corporation Limited

Guizhou Expressway Group Co., Ltd.

Xiaoyu Li

Pablo Navarrete Michelini

Lihua Geng

Feng Liu

Yuanfeng Zhang

Xiaojuan Gao

Jiangbi Hu

Xiaoqin Zhang

Linxi Gao

Lijie Zhang

Meng Wang

Guojie Li

Han Yan

Wenzhe Shi

Weiwu Hu

Da Guo

Guiping Guan

Weili Wang

Wenqian Ma

Li Ni Zhang

Qian Zhang

Xitong Ma

Lin Li

Ran Duan

Yi Zhao

Hanwen Liu

Zhi Chen

Gang Liu

Yuan Liu

Xiaohui Yang

Ping Wu

Pengfei Xu

Jianmin He

Qi Zeng

Jianmin Wang

Jianping Cao

Pengjie Wang

Shoufeng Wang

Zhichun Shen

Junyuan Ren

Qixin Huang

Jiajia Wang

Min Mao

Jianzhong Shen

Lizhen Luo

Ronghua Wang

Ruichao Wang

Jijun Kang

Jiankang Wang

Jianming Qin

Kaixiang Zhou

Xingyuan Cao

Kui Zhu

Changsi Mao

Congming Wu

Yawei Cai

Dejun Liu

Qiang Fan

Yue Xu

Yongqiang Ren

Jiye Tao

Wei Duan

Menghao Su

Navarrete Michelini Pablo

Wenya Zhou

Ziying Xin

Xiaoshun Lu

Shilong Mei

Jiechao Cheng

Jianlong Cheng

Jiamei Liu

Mingyu Xie

Xiangzhen Chang

A compound with broad-spectrum antibacterial activity and its antibacterial composition are provided. The compound with broad-spectrum antibacterial activity has formula (I), which are antibacterial drug source compounds with a broad antibacterial spectrum, good antibacterial activity, suitable in vivo pharmacokinetics, and significant in vivo therapeutic effects. Preferred compound BAB159 has good antibacterial activity against, and, which is comparable or better than the listed drugs. The combination of preferred compound BAB159 and polymyxin E exhibits significantly enhanced synergistic antibacterial activity, especially against multidrug-resistant strains.

Compound with broad-spectrum antibacterial activity and its antibacterial composition

A method, an apparatus, device, and a computer-readable storage medium for processing information are provided. The method is used in a first network device, and includes receiving information related to a second network device, determining a first resource configuration corresponding to a coverage classification related to the second network device based on the information, and transmitting the first resource configuration to the second network device. The method may obtain the first resource configuration through making prediction and calculation analysis based on the information, which may achieve dynamic configurations of different coverage classifications, save energy consumption, and improve system capacity and performance at the same time.

Information processing method, apparatus, device and computer readable storage medium

A fly ash recycling gasification furnace includes a fly ash burner, an ash remover, a fly ash storage tank, a variable pressure lock hopper, a fly ash blending system, an exhaust filter, and a backflushing nitrogen buffer tank. The fly ash burner is located on an inner wall of a hearth of the gasification furnace. The ash remover has an inlet connected to an outlet of a waste boiler of the gasification furnace. The fly ash storage tank is connected to a pressurized nitrogen inlet pipe, and a bottom outlet of the ash remover. The variable pressure lock hopper is connected to the fly ash storage tank. The fly ash blending system is connected to the variable pressure lock hopper and the fly ash burner. The exhaust filter is connected to the storage tank, the lock hopper and the blending system. The buffer tank is connected to the exhaust filter.

Fly ash recycling gasification furnace

The present application provides a method and apparatus for video surveillance. The method for video surveillance includes: detecting, through an infrared sensor, whether a target is present in a sensing area of the infrared sensor, and generating a deflection instruction indicating a deflection angle in a case where it is detected that the target is present; and deflecting, according to the deflection instruction, a shooting direction of a camera towards the target by the deflection angle.

Method and apparatus for video surveillance

The present invention relates to a visual efficacy measuring method for objects in different light environments, which comprises: (a) setting a light environment; (b) measuring a relationship between color temperature and time; (c) a driver visually recognizing a target object; (d) resetting the light environment, and repeating the step (c); (e) processing the visual recognition information data collected by the experiments so as to establish a relationship of the visual recognition time in relation with the light environmental parameters of color temperature, color rendering index and brightness; (f) performing visual efficacy analysis according to the processing results of the visual recognition information data. The present invention also provides a color temperature standard determining method for a tunnel middle section in day time, which comprises: (a) setting a light environment; (b) measuring a relationship between color temperature and time; (c) selecting a stably distributed color temperature segment; (d) determining the color temperature standard. The method of the present invention performs visual efficacy analysis of the influence that light environment settings of illumination on a night road or in a tunnel middle section have on drivers' visual recognition activity, thereby providing a good guiding standard for reasonable and efficient setting of color temperature, color rendering index and average brightness of an illumination device.

Visual efficacy measuring method for objects in different light environments

The present disclosure provides a method and an apparatus for stretching an image. The method for stretching an image includes: selecting a corresponding stretching mode according to a mode selection parameter; generating a corresponding stretching filter group according to a stretching parameter and the selected stretching mode, and segmenting input image data into blocks; and processing the input image data segmented into blocks by the stretching filter group, to obtain stretched image data.

Method and apparatus for stretching image

Provided are an image encoding method, an image decoding method and an image processing system including image encoding/decoding apparatus. The image encoding method includes steps of: acquiring a first image and a plurality of second images; updating features of each second image of the plurality of second images to obtain corresponding update features; superposing the first image with the update features of each second image of the plurality of second images to generate superposed images; generating a plurality of prediction images according to the superposed images; determining difference features between each second image of the plurality of second images and a corresponding prediction image; outputting the superposed images and the difference features; wherein the updating and/or predicting adopts a convolutional neural network.

Image encoding/decoding apparatus, image processing system, image encoding/decoding method and training method

Embodiments of the present invention provide for hiding information in an image. A first pixel point and a second pixel point that are adjacent in an image are extracted. A first sub-pixel of the first pixel point and a second sub-pixel of the second pixel point that are to be combined during display on a display device are determined, wherein the display device determines a combined pixel value according to pixel values of the first sub-pixel and the second sub-pixel in a predefined manner. Information is hidden using parity properties of a sum of pixel values of the first sub-pixel and the second sub-pixel while the combined pixel value determined according to pixel values of the first sub-pixel and the second sub-pixel in the predefined manner is kept unchanged. By using unique display characteristics of a display device, information is hidden in an image without changing display effect of the image on the display device.

Hiding information in an image

The disclosure discloses an apparatus for upscaling an image, a method for training the same, and a method for upscaling an image, where a convolutional neural network circuit obtains feature images of the image, a multiplexer upscales the image by integrating every n*n feature images of an input signal into a feature image with a resolution which is n times the resolution of a feature image of the image, where n is an integer greater than 1.

Apparatus for upscaling an image, method for training the same, and method for upscaling an image

The invention relates to an illumination standard calculation method for a tunnel entrance section in daytime based on safe visual recognition. The method includes: (a) setting light environment parameters of the tunnel entrance section; (b) determining a feature position in the tunnel, and measuring the average road surface brightness L of the feature position; (c) placing a target object in the feature position and then making a driver drive at different speeds from outside the tunnel towards the target object to measure visual recognition distances D required by the driver to visually discover the target object under different driving speeds, and measuring the road surface brightness Lat the position where the driver visually discovers the target object and calculating the brightness reduction factor K to be the ratio between L and L; (d) resetting the average road surface brightness L of the tunnel entrance section and repeating steps (b) and (c) to obtain a plurality of different sets of visual recognition distances D and corresponding brightness reduction factors K; (e) using Sigmoid function model to calculate and fit the data of the plurality of sets of D and K to obtain a relational model formula of D and K: (f) substituting a safe stopping sight distance Dcorresponding to a maximum speed limit of the tunnel into the formula to obtain the minimum brightness reduction factor Kof the tunnel entrance section in daytime. The invention also relates to a system for implementing the illumination standard calculation method for a tunnel entrance section in daytime based on safe visual recognition.

Illumination standard calculation method and system for a tunnel entrance section in daytime based on safe visual recognition

Removing an embedded barcode in an image. A barcode-embedding area in an image is acquired. Pixels in the barcode-embedding area can be changed from a RGB color space to a color space with a luminance component. The luminance values of the pixels can be determined on a dark side or a light side. The luminance values of the pixels on the dark side or the light side can be mapped to luminance values falling into a whole range of a luminance interval. The pixels in the barcode-embedding area can be changed from the color space with the luminance component to the RGB color space.

Embedding a removable barcode into an image

The present invention relates to a visual efficacy determining method for non-colored objects in different light environments, comprising: a) setting light environment; b) placing an object for performing visual recognition of a driver; c) resetting the light environment, and repeating the step b); d) processing visual recognition information data obtained after experiments, and establishing a correlating relationship between visual recognition time and color temperature, color rendering index and brightness parameters of the light environment; and e) performing visual efficiency analysis according to the visual recognition information data processing results. The present invention further provides a system for implementing the visual efficacy determining method for non-colored objects in different light environments, wherein the system comprises a simulated tunnel middle section subsystem, a testing subsystem and a data processing subsystem. According to the method and the system disclosed by the present invention, visual efficacy analysis is performed on the visual influence of the light environment setting of the illumination of a night road and a tunnel middle section on the driver, and good guidance standards are provided for the reasonable and efficient setting of the color temperature, color rendering index and average brightness of a lighting device.

Visual efficacy determining method for non-coloured objects in different light environments and system thereof

An image upscaling system includes at least two convolutional neural network modules and at least one synthesizer. The convolutional neural network module and the synthesizer are alternately connected to one another. The first convolutional neural network module receive an input image and the corresponding supplemental image, generate a first number of the feature images, and output them to the next synthesizer connected thereto. Other convolutional neural network modules each may receive the output image from the previous synthesizer and the corresponding supplemental image, generate a second number of feature images, and output them to the next synthesizer connected thereto, or output them from the image upscaling system. The synthesizer may synthesize every n*n feature images in the received feature image into one feature image and output the resultant third number of feature images to the next convolutional neural network module connected thereto or output them from the image upscaling system.

Image upscaling system, training method thereof, and image upscaling method

A drowning alarm system and a drowning alarm method. The drowning alarm system includes a submerging detection device, a position detection device and a signal transmitting device. The submerging detection device configured to detect whether or not the submerging detection device is submerged, and generate a submerging alarm instruction when the submerging detection device is submerged. The position detection device configured to determine whether or not the submerging detection device is within a preset range, and generate a distance information instruction when the submerging detection device is within the preset range. The signal transmitting device configured to transmit a first alarm signal when the submerging detection device generates the submerging alarm instruction and the position detection device generates the distance information instruction. The drowning alarming system with false alarm prevention function is realized.

Drowning alarm system and drowning alarm method

The present application discloses a signal source detection and selection system for detecting and selecting a signal source for a display apparatus having a plurality of signal input interfaces configured to receive a plurality of input signals from a plurality of signal sources. The signal source detection and selection system includes an input interface scanner, an interface selector, a signal processor, and an output terminal. The input interface scanner is configured to scan each of the plurality of signal input interfaces and determine whether at least one signal input interfaces receives input signals. The interface selector, coupled to the input interface detector, is configured to select a signal input interface as a selected signal input interface, and gate an input signal from the selected signal input interface to the signal processor. The signal processor, coupled to the input interface selector, is configured to process the input signal from the selected signal input interface to generate a processed signal. The output terminal is configured to output the processed signal.

Signal source detection and selection system, electronic system having the same, and method of detecting and selecting a signal source for a display apparatus

Growing community of inventors

Beijing, China

Xiaoyu Li