34results about How to "Improve computing reliability" patented technology

The invention provides a method for establishing a geometric model based on medical image data, comprising the steps of: inputting or reading medical image data; defining organization type and densityinformation; The step of giving 10B concentration information based on the measured overall 10B concentration spatial or temporal distribution; Establishing a 3D encoding matrix with tissue type, density and 10B concentration information; Steps to generate a geometric model. Another aspect of the present invention provides a dose calculation method based on medical image data, comprising the steps of calculating a 10B dose (DB), a neutron dose (DN), and a photon dose (D gamma) of the obtained geometric model according to a Monte Carlo method; The step of calculating a dose to tumor and tissuebased on the measured spatial or temporal distribution of the overall 10B concentration (Bcon). The geometric model building method based on medical image data of the invention can improve the accuracy and precision of the lattice information in the model. The dose calculation method based on the geometrical model can improve the reliability of dose calculation to improve the quality of treatment.

The invention relates to a multi-source data fusion collecting device and system. The device comprises an information collecting module used for sampling a mutual inductor set for sensing a to-be-detected target to obtain first sampling data and second sampling data, and sampling a pulse signal of the to-be-detected target to obtain pulse sampling data, an information processing module used for processing the first sampling data and the second sampling data to obtain a first sampling value, first general information, a second sampling value and second general information, and processing the first sampling value, the second sampling value and the pulse sampling data to obtain monitoring information, and an information transmission module used for transmitting one or more of the first general information, the second general information and the monitoring information to a multi-source data fusion protecting device, a stabilization device and an automatic device. According to the device and the system provided by the invention, the precision and the calculation reliability of the sampling data are high; and the management and control obstruction is reduced, so that stable and reliableoperation of an intelligent substation is facilitated.

The invention provides a blocking net working state monitoring and early warning method in combination of computational mechanics and field monitoring, which belongs to the technical field of blockingnet working state monitoring. Through port engineering design standards, various loads in the blocking net working environment are classified, various load applied to the blocking net are converted to a main rope of the blocking net. Through the computational mechanics method, the main rope of the blocking net after load conversion is subjected to iterative solution, geometric constraint conditions of the main rope of the blocking net are introduced, the tensioning shape of the main rope of the blocking net under effects of various single environment loads or a combined environment load of the blocking net can be solved and the pulling force at a concerned place is solved. Historical monitoring data of each section of the blocking net are selected for comparison and analysis, the workingstrength limit of the blocking net system under effects of various loads is determined, the blocking net system working reliability safety grade is divided, the alarming value and the risk matrix of each section of the blocking net are determined, early warning on the blocking net working state is realized, and a basis is provided for reasonable maintenance on the blocking net.

The invention provides a smooth geometrical model establishing method based on medical image data, which comprises the following steps: inputting or reading the medical image data; establishing a three-dimensional medical image voxel model according to the medical image data; smoothing the three-dimensional medical image voxel model; and establishing a three-dimensional voxel prosthesis tissue model. The invention also provides another smooth geometrical model establishing method based on the medical image data, which comprises the following steps: inputting or reading the medical image data;establishing the three-dimensional voxel prosthesis tissue model according to the medical image data; and smoothing the three-dimensional voxel prosthesis tissue model. The smooth geometrical model establishing method provided by the invention is used for smoothing the three-dimensional medical image voxel model or the three-dimensional voxel prosthesis tissue model so as to be closer to the realsituations of human organs, thereby improving the dose calculation reliability to promote the treatment quality.

The invention belongs to the field of metallurgical industry, and particularly relates to a method and a system for simulating a motion trail of solid inclusions in molten steel. The system comprisesan inclusion initial state data storage module, a flow field data calling module, an inclusion stress calculation module, an inclusion motion trail calculation module, a calculation result storage module and a control module. The method comprises the following steps of calculating by initial state data of inclusions, the circular flow field data calling module, the inclusion stress calculation module and the inclusion motion trail calculation module in a circulating manner and simulating the motion trail of the solid inclusion in molten steel.

The invention relates to the field of Internet of Vehicles, in particular to a vehicle rear-end data monitoring platform for an Internet-of-Vehicles system. A method for determining confidence and/orpriority of reported event data reported by a vehicle in an Internet-of-Vehicles system (1) is provided, the method at least comprises the steps of obtaining an event risk degree parameter corresponding to a reported event type, obtaining a historical traffic flow speed at a corresponding geographic position based on the reported geographic position, and then obtaining a speed deviation parameterbased on a deviation between a vehicle speed at a reporting moment and the historical traffic flow speed; and determining the confidence and/or priority of the reported event data at least based on the event risk parameter and the speed deviation parameter. The method may also include determining a frequency parameter based at least on the same or similar event reporting frequencies at the respective geographic locations and taking into account the frequency parameter when determining a confidence and/or priority of the reported event data. The calculation reliability of the confidence coefficient and/or priority of the vehicle report event can be improved.

The invention provides a 4S store potential customer behavior analysis system based on a Reid and face recognition technology, and the system comprises the following steps: (1), decoding a video stream from video monitoring, and extracting a picture frame at regular time; (2), performing pedestrian detection on the picture frame to obtain a pedestrian human body picture; (3) calculating pedestrianpictures by using a Reid model, and extracting pedestrian feature vectors; (4) storing the data in the step (3) into a database, including picture shooting time and camera numbers; (5), screening human body trajectory data associated with a human face so as to know trajectory behavior data of a corresponding customer; for each subsequent picture frame, calculating a pedestrian feature vector, andjudging whether the pedestrian appears before or not; the passenger flow calculation reliability is higher, the data is more complete, and the repeated passenger flow can be effectively removed. Datais collected in a non-inductive mode, customer behaviors are not intervened, and the experience feeling is good.

The invention relates to an MEMS (Micro Electro Mechanical System) temperature compensation operation circuit which comprises a multiplier, a summator and a storage unit. A temperature compensation and operation method adopted by the MEMS temperature compensation operation circuit comprises the following steps: (1), decomposing a binary five-order polynomial into a loop operation of addition before multiplication, to be specific, calculating each decomposed coefficient through the multiplier and the summator and storing all the coefficients in the storage unit; and (2) operating the binary five-order polynomial through the multiplier and the summator according to the decomposing process of the binary five-order polynomial and outputting an operation result. According to the operation circuit disclosed by the invention, the operation of a multielement high-order polynomial can be realized by the loop operation of the multiplier and the summator, the circuit area can be greatly saved, the operation reliability can be improved and the power consumption and cost are reduced.

The invention relates to a method for electric power system carbon-flow simulation analysis adapted to a large-scale power grid. The method comprises the steps of (1) power grid carbon-flow simulation and (2) power grid carbon-flow analysis. The method provided by the invention is characterized in that in combination with characteristics of the actual large-scale power grid and demands of the power grid simulation analysis, the complete and practical large-scale power grid carbon-flow simulation method is given; a power grid carbon-flow analysis method is also proposed; processing is carried out on the basis of carbon-flow simulation results; and a carbon-flow simulation analysis result which can be comprehensively applied by actual power grid simulation workers and can guide production practice is obtained.

The invention discloses a lamp panel punching die of an automobile headlamp. The punching die further comprises a supporting plate, a left punch needle assembly, a right punch needle assembly and an automatic driving device, wherein the supporting plate is arranged in the middle of the upper end of an upper die plate; the left punch needle assembly and the right punch needle assembly are both movably arranged on the upper die plate, the left punch needle assembly comprises a hitting rod and a left punch needle which are connected with each other, the right punch needle assembly comprises a hitting rod and a right punch needle which are connected with each other, and the left punch needle and the right punch needle are located at the left side and the right side of the supporting plate respectively; and the automatic driving device is arranged on the upper die plate and used for driving the left punch needle assembly and the right punch needle assembly to punch holes in a workpiece on the supporting plate. According to the lamp panel punching die of the automobile headlamp, under the driving of the automatic driving device, the left punch needle assembly and the right punch needle assembly are driven to punch holes in the workpiece on the supporting plate, a manual punching mode is replaced, time and labor are saved, and the working efficiency of the punching die is improved.

The invention discloses a construction method of a large-scale NCS fault-tolerant framework based on a fixed-size memristor array. The calculation reliability of the neuromorphic calculation system isimproved, the running time of the framework algorithm is accelerated, the scale of the neural network capable of being processed by the system is greatly improved, meanwhile, the resource consumptionof the memristor array is reduced, and subsequent universal integrated design is more convenient by adopting the memristor array with the fixed size.

The invention discloses a bolt axial stress detection method based on ultrasonic spectrum energy attenuation. The bolt axial stress detection method comprises the following steps: 1) clamping a bolt on a tensile sample machine; 2) adjusting the clamping length of the bolt; 3) adjusting axial stress sigma borne by the bolt; 4) exciting one end face of the bolt to generate ultrasonic waves, and collecting voltage signals of the ultrasonic waves reflected from the other end face of the bolt; 5) selecting a primary bottom surface echo f1 (t) and a secondary bottom surface echo f2 (t) containing all cylindrical surface guided wave signals; 6) calculating an energy attenuation coefficient R (sigma); 7) circulating the step 3) to the step 6) to obtain a nonlinear fitting curve of the axial stress sigma and the energy attenuation coefficient R (sigma); 8) circulating the step 2) to the step 7) to obtain a nonlinear fitting curve of the axial stress sigma and the energy attenuation coefficient R (sigma) of the bolt under different clamping length conditions; and 9) carrying out linear fitting between the slope of the nonlinear fitting curve and the corresponding clamping length to obtain a linear relation of the slope of the nonlinear fitting curve along with the change of the clamping length.

The invention discloses an unloading decision and power distribution method in V2V communication based on calculation reliability, and the method comprises the steps: building a task unloading completion model, dividing a total task of a vehicle-mounted user into a plurality of sub-tasks in the model, and transmitting the plurality of sub-tasks to a fog node for processing, all the sub-tasks are repeatedly sent for multiple times, and when the fog node cannot process the sub-tasks, the fog node sends the sub-tasks to the cloud node for processing; determining the total time delay and the completion probability when a certain subtask is completed; determining the reliability of vehicle-mounted user total task completion, and constructing a reliability maximization problem under power constraint according to the reliability; a specific unloading decision design scheme is given based on a matching theory to solve a maximization problem; compared with a baseline scheme of directly unloading to a cloud node, the method provided by the invention can effectively improve the system reliability under the condition of considering a dynamic channel state environment.

The invention relates to a lithium ion battery SOC estimation method based on time-varying correction extended Kalman filtering, which is characterized in that linear processing is carried out by utilizing a Taylor expansion on the basis of a Kalman filtering algorithm, so that Kalman filtering can be applied to SOC estimation of a lithium ion battery pack with a nonlinear relationship; effective iterative calculation of the SOC value of the lithium ion battery pack is realized, and an SOC initial value error and an accumulated error existing in an ampere-hour integral are overcome; it is considered that internal parameters of the model are not constant due to influence of various factors, a function relationship between the SOC and each parameter is obtained through a curve fitting method, and is applied in an algorithm; a Thevenin equivalent circuit model is established, errors caused by the polarization effect are overcome, the steps are short, the principle is clear, the method is suitable for transient analysis of power type battery charging and discharging, and a better characterization effect on the battery is achieved; the method is based on an equivalent model circuit on the basis of fully considering the grouping work of the lithium ion batteries.