Fj Dynamics Technology Co., Ltd

Nanjing Chervon Industry Co., Ltd.

Samsung Electronics Co., Ltd.

Fj Dynamics Co., Ltd.

China University of Mining and Technology

Di Wu

Yuan Yao

Yuexiang Zhang

Bo Wang

Rui Zhan

Siyuan Huang

Yong-quan Shen

Qing-quan Wang

Lie Zou

Yafei Cao

Ye Sun

Shun Fan

Masatoshi Fukinuki

Lei Li

Wei Lu

Hongtao Ke

Shubin Tong

Chen Wang

Xiaoyong Wang

Rui Xu

Baofeng Fan

Yongkang Wu

Shuai Chen

Biao Zhang

Bin Li

Zhao-di Chen

Hong Chen

Chen-jian Wu

Chao Tong

Xue-song Wang

Min-xin Chen

Rui Chen

Xiao Zhang

Shuo Qin

Sheng Luo

Zhong-Yuan Yang

Gao-Dong Wang

Hong-xin Li

Chunbo Zhu

Chuan Geng

Hengyong Hu

Yuyi Zheng

Liang Chen

Chao Zheng

Yi-cheng Wang

Wei Zhou

Xiao-feng Zhou

Xiaofeng Zhou

Xuesong Wang

Yicheng Wang

Rui Cehn

Yongquan Shen

Qingquan Wang

Yi Xin

Wenjie Yan

Huanguang Wang

Jun Yang

Chenwei Sun

Jia Gou

Meng Xue

A torque output tool includes a housing; an electric motor disposed in the housing; an output shaft capable of being connected to a working accessory and driving the working accessory to rotate; and a transmission assembly. The transmission assembly includes a drive wheel drivable by the electric motor to drive the output shaft to rotate about a first axis; a shaft lock ring disposed around the output shaft; and multiple locking posts disposed in the shaft lock ring and around the output shaft. The torque output tool further includes a spacer disposed between the drive wheel and the shaft lock ring and used for separating the locking posts from at least part of the drive wheel.

Torque output tool

An image acquisition device and image processing method for an agricultural harvesting operation machine. The agricultural harvesting operation machine comprises a body and an image acquisition device; the image acquisition device comprises an image capturing component and a communication machine; the image acquisition device is mounted on the body; the communication machine is communicatably connected to the image capturing component so as to obtain acquired image information from the image capturing component, thereby assisting in adjusting the working position and operation speed of the body. Also provided is an image processing method. Information required by harvesting operation is taken into full consideration, images of the position of an agricultural harvesting operation machine are acquired, and multiple acquired images are efficiently processed.

Image acquisition device and processing method for agricultural harvesting operation machine

Disclosed herein are an image morphing adaption method and apparatus. The method includes, during a rotation process of a display device, processing, by rotating and then clipping, an image to be displayed at at least one morphing adaption processing time, and displaying the processed image at the at least one morphing adaption processing time. A rotation angle of the image is substantially equal to a rotation angle of the display device at the corresponding time, a rotation direction of the image is opposite to a rotation direction of the display device, the morphing adaption processing time is determined based on a preset morphing adaption processing frequency, and the morphing adaption processing frequency is determined by down-conversion based on a current screen refresh frequency. According to such a method, images displayed by the display device during the rotation process substantially match the view angle of users, improving a viewing experience.

Image morphing adaption method and apparatus

An intelligent system and a method for coordinating harvester and logistics vehicle are illustrated. The intelligent system comprises a harvester terminal and a logistics vehicle terminal. The harvester terminal comprises a repository monitoring module and a control module, wherein the repository monitoring module monitors storage information of a storage bin of the harvester. The control module receives the storage information from the repository monitoring module, and determines whether the storage location of the storage bin of the harvester reaches a preset location. The harvester terminal and the logistics vehicle terminal are communicatively connected. When the storage location of the storage bin of the harvester reaches the preset location, the control module sends a transport instruction to the logistics vehicle terminal to control the logistics vehicle to transport grain, thereby achieving intelligent coordination between the harvester and the logistics vehicle.

Intelligent system and method for coordinating harvester and logistics vehicle

A lighting device includes a base, a panel assembly, and a power supply assembly. The panel assembly is at least partially connected to the base and includes a luminous body. The power supply assembly is connected to the lighting device. The panel assembly includes a main panel and a plurality of auxiliary panels. The main panel is fixedly connected to the base, a first auxiliary panel among the plurality of auxiliary panels is rotatably connected to the main panel, and a second auxiliary panel among the plurality of auxiliary panels is rotatably connected to the first auxiliary panel.

Lighting device

A system and method for automatic row alignment driving by a harvester when harvesting above-ground crops includes an elastic row sensing module, a processing module, a controlling module, and a steering module. The elastic row sensing module is disposed on a front grain thresher/grain isolator of the harvester, collecting data as to physical contact with the crop. The elastic row sensing module includes a deformable elastomer in contact with the high stem crop, the sensor detects and reports deformation of the elastomer. The processing module determines current alignment state of the harvester and the controlling module determines any corrective steering signal for the harvester. The steering module controls steering direction.

Automatic row alignment driving system and method for high stem crop harvester

Disclosed are a material pushing apparatus and a charging method thereof, and a material pushing machine and a material pushing method thereof. The material pushing apparatus comprises a charger () and a material pushing machine (), and when the material pushing machine moves to the position where the charger is located, the charger can automatically supplement electric energy to the material pushing machine, such that the automation level of the material pushing apparatus is improved.

Material pushing apparatus and charging method thereof, and material pushing machine and material pushing method thereof

An impact tool includes an impact assembly and a housing. The impact assembly is used for applying an impact force to an output shaft and includes a main shaft driven by a drive shaft, an impact block connected to the main shaft, and a hammer anvil mating with and struck by the impact block. A motor is at least partially accommodated in the housing. A length L from a rear end of the housing to a front end of the output shaft is greater than or equal to 78 mm and less than or equal to 97 mm and an outer circumferential diameter D of the housing is less than or equal to 60 mm.

Impact tool

A method for constructing a convolutional neural network model based on farmland images is applied in an electronic device. The method includes following steps: obtaining a number of farmland images of at least one farmland; obtaining a plurality of standard segmentation farmland images corresponding to each of the farmland images; dividing the farmland images and the standard segmentation farmland images into a training image set and a test image set; taking the farmland images and the standard segmentation farmland images in the training image set as input of a convolutional neural network, and constructing a convolutional neural network model based on the farmland images; and verifying the convolutional neural network model by using the farmland images in the test image set and the standard segmentation farmland images, and optimizing a plurality of parameters of the convolutional neural network model based on the farmland images.

Method for constructing a convolution neural network based on farmland images, electronic device using the same

A transmission control method and an apparatus of multimedia streaming data are provided. The method includes, when an edge server is to transmit a data packet of a video requested by user equipment to the user equipment, and it is a first time that the edge server transmits the data packet according to the request, filtering, by the edge server, the data packet, and transmitting the filtered data packet to the user equipment, otherwise, directly transmitting the data packet to the user equipment, wherein the video includes an on-demand video and a real-time video, and playing, by the user equipment, the video directly according to the received data packet.

Method and apparatus for playing multimedia streaming data

The present disclosure provides a terminal, a server, an Internet of Things data transmission method, and a data transmission system, wherein the Internet of Things data transmission method includes following blocks: transmitting data and uniquely corresponding identity information from a terminal used to collect data to a server, and feeding back, at the server, at least one response signal to the terminal in response to the received data and the identity information.

Terminal, server, internet of things data transmission method, and data transmission system

Growing community of inventors

Nanjing, China

Di Wu