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1964results about How to "Accurate processing" patented technology

Intelligent book management robot

ActiveCN104875177AMechanism design is exquisite and practicalRealization is likely to be largeManipulatorManipulatorEngineering
The invention provides an intelligent book management robot for fully automatically borrowing, returning and arranging of books of a library. The intelligent book management robot comprises an automatic moving trolley for polling and avoiding a barrier, a storing bookshelf, a book basket, a book picking and storing mechanism and a control device. The intelligent book management robot is characterized in that the moving trolley can move according to a ground mark and a mark line; a mechanism for avoiding the barrier and polling is mounted at a head part of the trolley; the storing bookshelf is of a special structure and is in the same direction as the trolley marching direction; the book picking and storing mechanism moves up and down, left and right and front and back based on the combination of guide rails; a composite manipulator consisting of a book expanding arm and a book picking arm is arranged at the tail end of the mechanism and has the functions of telescoping, expanding and clamping; the books can be picked and stored under the effects of imaging of a camera and controlling of a computer. The intelligent book management robot has the advantages that the book is automatically managed without reconstructing the bookshelf of the library, and thus the labor intensity of workers in the library can be reduced.
Owner:SHANGHAI JIAO TONG UNIV

Automatic charging system of electric car and control method of automatic charging system

The invention discloses an automatic charging system of an electric car and a control method of the automatic charging system. The automatic charging system and the control method thereof have the advantages that monitoring is started from parking of the car, a charging connection reset device is disconnected after charging of the car, a user's bill is generated, charging plug butt joint and real-time charging process monitoring are included, all related data in the whole charging process are monitored by a software system portion, a hardware mechanical portion is controlled to complete a next action, the hardware portion sends new semaphore to the software portion for new command calculation after completing a command, the software portion is combined with the hardware portion, and accordingly, systematicness and intellectuality of the whole charging system are improved; a charging interface butt joint scheme based on machine vision and a machine learning algorithm is applied, and feasibility and accuracy in butt joint are guaranteed; a three-dimensional lead screw guide rail mechanism with a long stroke is used, the range of activity of a charging connector is widened, and the charging connector is suitable for multiple car models; the automatic charging system is provided with a payment code scanner, payment of related charges can be completed through a payment bar code scanning function of a cellphone-side payment application, and accordingly, intelligent payment is achieved.
Owner:XIAMEN UNIV

Parallel detecting, spectroscopic ellipsometers/polarimeters

The parallel detecting spectroscopic ellipsometer / polarimeter sensor has no moving parts and operates in real-time for in-situ monitoring of the thin film surface properties of a sample within a processing chamber. It includes a multi-spectral source of radiation for producing a collimated beam of radiation directed towards the surface of the sample through a polarizer. The thus polarized collimated beam of radiation impacts and is reflected from the surface of the sample, thereby changing its polarization state due to the intrinsic material properties of the sample. The light reflected from the sample is separated into four separate polarized filtered beams, each having individual spectral intensities. Data about said four individual spectral intensities is collected within the processing chamber, and is transmitted into one or more spectrometers. The data of all four individual spectral intensities is then analyzed using transformation algorithms, in real-time.
Owner:COLORADO SCHOOL OF MINES

Method of simulating detailed movements of fluids using derivative particles

The method provides a new fluid simulation technique that significantly reduces the non-physical dissipation of velocity using particles and derivative information. In solving the conventional Navier-Stokes equations, the method replace the advection part with a particle simulation. When swapping between the grid-based and particle-based simulators, the physical quantities such as the level set and velocity must be converted. A novel dissipation-suppressing conversion procedure that utilizes the derivative information stored in the particles as well as in the grid points is developed. Through several experiments, the proposed technique can reproduce the detailed movements of high-Reynolds-number fluids, such as droplets / bubbles, thin water sheets, and whirlpools. The increased accuracy in the advection, which forms the basis of the proposed technique, can also be used to produce better results in larger scale fluid simulations.
Owner:SEOUL NAT UNIV R&DB FOUND

Hierarchical classification method for internet flow

InactiveCN102394827AImprove classification performanceAccurate identification and processingData switching networksTraffic volumeInternet traffic classification
The invention relates to a hierarchical classification method for internet flow, comprising the following steps: firstly, coarse grained classification is conducted as follows: a flow statistical property method based on machine learning is adopted for quickly classifying network flow, the network flow is divided into applied categories with different characteristics, if the flow distinguished by the coarse grained classification needs to be used, the flow can be output directly, and if the flow needs further classification, next step is conducted; and secondly, fine grained classification is conducted as follows: classification is further conducted on the applied categories distinguished by the coarse grained classification, the network flow can be intelligently, accurately and effectively identified in real time, good integrity and expandability are realized, and the requirements on the internet flow classification with different application targets and classification grain size can be met.
Owner:ZHEJIANG WANLI UNIV

Low-impact call connection request denial

ActiveUS20080225857A1Economical in costPreserve quality of experienceTime-division multiplexData switching by path configurationTraffic volumeTraffic capacity
A policy enforcement point (PEP) attaches to the edge of a packet-switched network to manage loading when the network nears or exceeds its capacity due to changes in the network, e.g., component failures or incremental growth. Autonomous PEP's at the network's edges provide short-term, application-aware controls on their own that are applied to the corresponding network ingress traffic. Changes become necessary when a network event results in a loss of resilient bandwidth that effects the traffic class under admission control. Or, when an unexpected surge in traffic exceeds the PEP's reserved resources to a particular destination. The resources available across the network are recalculated for minimizing impact on existing sessions or calls, and it informs the PEP's of the new resources available. If the new maximum exceeds the current utilization to that destination, the PEP invokes a local priority drop mechanism to back off the traffic until it is under the new limit. A media gateway handling voice calls can keep all emergency calls up, and then invoke a local algorithm, such as random drop, for the remaining calls until calls to the constrained destination are under the new limit. In the second case, where there is an unexpected surge in demand, the PEP can request from the bandwidth manager additional resources to a particular destination.
Owner:RPX CORP

Defect detection method for irregular metal machining surface based on depth learning

The invention relates to a defect detection method of an irregular shape metal working surface based on depth learning, By preprocessing the collected surface images of metal machining, image enhancement, YOLOv3-based network architecture, Deep learning network suitable for defect detection is built. The samples are labeled manually and the deep learning network is trained with labeled samples toobtain defect detection model. Finally, the defect detection model is used to detect the surface image of metal machining, and the defect detection results are obtained. Compared with the prior art, the network structure in the invention has good adaptability to the detection of small objects and small targets, and unifies the four basic steps of the candidate region generation, the feature extraction, the classification and the position refinement of the target detection into the same depth network framework, thereby improving the running speed and making the detection more accurate.
Owner:TONGJI UNIV

Camera and Method for Focus Based Depth Reconstruction of Dynamic Scenes

A dynamic scene is reconstructed as depths and an extended depth of field video by first acquiring, with a camera including a lens and sensor, a focal stack of the dynamic scene while changing a focal depth. An optical flow between the frames of the focal stack is determined, and the frames are warped according to the optical flow to align the frames and to generate a virtual static focal stack. Finally, a depth map and a texture map for each virtual static focal stack is generated using a depth from defocus, wherein the texture map corresponds to an EDOF image.
Owner:MITSUBISHI ELECTRIC RES LAB INC

Data processing apparatus and method for handling address translation for access requests issued by processing circuitry

A data processing apparatus has address translation circuitry which is responsive to an access request specifying a virtual address, to perform a multi-stage address translation process to produce, via at least one intermediate address, a physical address in memory corresponding to the virtual address. The address translation circuitry references a storage unit, with each entry of the storage unit storing address translation information for one or more virtual addresses. Each entry has a field indicating whether the address translation information is consolidated address translation information or partial address translation information. If when processing an access request, it is determined that the relevant entry in the storage unit provides consolidated address translation information, the address translation circuitry produces a physical address directly from the consolidated address translation information. If on the other hand the relevant entry stores partial address translation information, the address translation circuitry produces an intermediate address from the partial address translation information and then performs the remainder of the multi-stage address translation process. Such an approach provides the performance benefits associated with a consolidated entry mechanism within the storage unit, whilst also allowing certain problem cases to be handled correctly and in an efficient manner.
Owner:ARM LTD

An online classroom atmosphere assessment system and method

The invention provides an online classroom atmosphere evaluation system and method. The evaluation system comprises a video stream collection module, a data stream processing module, an image analysismodule, a classroom attendance analysis module, a classroom atmosphere evaluation module, a classroom atmosphere scoring module and a display module; . The invention collects classroom video stream data through a camera, and the captured video is captured frame by frame to obtain images; all the faces images are segmented and numbered sequentially, at the same time, the eigenvalues are assigned to the faces with the corresponding numbers, and then face recognition and facial expression recognition are carried out according to the number, so as to identify the number, emotion and movement posture of students in the video stream data; the score 0 is given to the students lowering heads in the image and the score 1 is given to students having interaction; according to the emotional analysisstrategy of students listening to the teacher, the current student listening student score is obtained and finally comprehensive evaluation of the classroom atmosphere score is obtained. The inventioncan evaluate the classroom quality on-line and in real time, and can effectively improve the evaluation effect.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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