111results about How to "Simplify the determination process" patented technology

The invention discloses a device and method for determining parameters of a push piece, a push piece dyeing machine and a method for manufacturing a blood smear. The push piece dyeing machine comprises a blood transmission device, the push piece, a blood characteristic acquisition unit, a push piece parameter determining unit and a motion control unit, wherein the blood characteristic acquisition unit transmits a detection signal to a blood sample transmitted by the blood transmission device and receives a detection signal acting on the blood sample; the push piece parameter determining unit receives the detection signal output by the blood characteristic acquisition unit and determines and outputs the push piece parameters according to the detection signal; the motion control unit receives the push piece parameters output by the push piece parameter determining unit and controls relative motion of the push piece and a blood glass slide according to the push piece parameters. According to the method and the device, the operations of determining the push piece parameters and finishing manufacture of the blood smear can be performed in an independent push piece dyeing system or equipment, the system or the equipment is not required to be in cascade connection with a hematology analyzer to acquire related blood parameters, the process of determining the push piece parameters is simplified, and the complexity of the whole push piece dyeing machine is reduced in the aspects of structure and system operation.

The invention provides a message forwarding method, a message sending device and a message receiving device. The method comprises the following steps: a first node configures a first identification and a first IPv6 address of a first VPN on a control plane, wherein the first identification corresponds to the first IPv6 address; the first node carries the first identification and the first IPv6 address in a first indication message and sends the first indication message to a second node; the second node firstly determines a second identification satisfying a preset corresponding relationship with the first identification in the second node according to locally configured information of the first VPN and the first identification in the first indication message, and then establishes a corresponding relationship between the first IPv6 address and the second identification; and the first node encapsulates a multicast data message belonging to the first VPN based on the first IPv6 address ona forwarding plane to obtain a BIER message to be forwarded and send the BIER message, so that the message encapsulation and forwarding performance can be improved.

The invention discloses a backup data processing method and a backup data processing device, used for verifying whether backup data is tampered, thus improving security of the backup data. The method comprises the steps of when target data is recovered according to the backup data of the target data, generating a digital digest corresponding to the backup data; constructing a first binary tree consisting of the digital digest; computing a first Hash value of the root node of the first binary tree; comparing the first Hash value with a preset identifier of the target data; and when the first Hash value is the same as the identifier of the target data, recovering the target data according to the backup data of the target data. By using the method provided by the invention, whether the backup data is tampered can be verified by comparing the Hash value of the root node of the binary tree corresponding to the backup data with the identifier of the target data, so that data recovery security is improved.

The embodiment of the invention discloses a flow quantity prediction multi-time-sequence model generation method, an information sending method and an information sending device. A specific embodiment of the method comprises: obtaining a historical flow volume set of a target article in a preset time period; inputting the historical flow quantity set into each flow quantity prediction time sequence model to obtain a predicted flow quantity set; determining each historical flow in the predicted flow set and the historical flow set in each back-test time granularity as an input parameter of a preset linearization objective function to generate a to-be-solved objective function; based on the constraint condition set, solving the to-be-solved target function to obtain a model weight coefficient set; and according to the model weight coefficient set, performing weighted combination processing on the flow prediction time sequence model corresponding to each model weight coefficient in the model weight coefficient set to obtain a flow prediction multi-time sequence model. According to the embodiment, the accuracy, robustness and stability of flow prediction are improved, and the model determination process is simplified.

The embodiment of the invention discloses a rapid vehicle OD point determination method based on checkpoint data. According to the rapid vehicle OD point determination method based on the checkpoint data provided by the embodiment of the invention, OD extraction of a single travel track of a vehicle is carried out by defining a vehicle travel chain and combining the preprocessed original data; andthen, the integrity and classification of the single travel trajectory of the vehicle are analyzed, classification is carried out, and different OD point determination methods are adopted for the single travel trajectories of different types of vehicles, so that the method has the pertinence of urban expressways, and the OD point determination process is relatively simple.

The disclosed determining method for crack front stress intensity factor distribution of a structural member comprises: providing the thermal load, surface force load and body force load, as well as the general weight function base equation acted by any of three loads; dividing the front into N-1 subsegments by N nodes, and using a basic interpolation function N(s) and local variation function N'j(s) for every node j. This invention can determine the factor distribution for curve-type 3D crack with high precision and efficiency by finite modes and interpolation way.

The invention provides a service simulation-perception-evaluation method and system. The method comprises the following steps: acquiring the levels of grids in each cell service area and the levels of adjacent cells in a network, segmenting the levels of the adjacent cells according to the upper threshold values and lower threshold values of the levels of the adjacent cells, and counting probabilities P1, P2 and P3 that the level of each adjacent cell is positioned in three intervals; calculating the service occurrence probability of each grid; calculating the service occurrence probability of the entire network; simulating telephone traffic scattering in a network area according to the service occurrence probability of the entire network by using Monte Carlo simulation; simulating a new site according to the telephone traffic simulation scattering of each cell in the network; and performing service perception and evaluation on the simulated new site. Compared with the prior art, the service simulation-perception-evaluation method and system have the advantages that comprehensive optimization of service perception can be performed by making full use of MR (Measurement Result) data; service scattering, the determination and evaluation of the new site and network optimizing flow can be greatly simplified; and manpower and material resources are greatly saved.

The embodiment of the invention provides a delivery area determination method and device, a similarity model training method and a storage medium. The method comprises the steps of performing featureextraction on each candidate region in a candidate region set to obtain a first feature vector of each candidate region, and performing feature extraction on each released region in a released regionset to obtain a second feature vector of each released region; for each candidate region, determining a plurality of similarities of a plurality of region pairs formed between the corresponding candidate region and each released region according to the first feature vector and the second feature vector; determining a target region pair according to the similarity, and determining a prediction score corresponding to the candidate region according to a preset score of a released region in the target region pair; and determining a target delivery area for the delivery object according to the prediction score corresponding to each candidate area. According to the invention, the determination process of the delivery area can be simplified, and the efficiency of determining the delivery area isimproved.

The invention relates to a method and system for determining clustering parameters for generating map lane lines, and the method comprises the steps: 1, setting the value minPts of the minimum numberof core points in a radius region, and determining a distance array from each line segment in the lane lines for clustering to the nearest kth line segment; setp 2, converting the distribution of thedistance array from each line segment to the nearest kth line segment into a cumulative probability curve; and step 3, determining the value eps of the radius parameter of the density cluster as the distance corresponding to the inflection point of the cumulative probability curve or the median of the distance array. According to the method, the density clustering radius parameter is determined according to the distance between the lane line center line segments used for clustering, the determination process can be automatically determined through the system, automatic parameter adjustment inthe map lane line clustering process is achieved, and a good result can be obtained without manual intervention.

The embodiment of the invention provides a driving mode switching method, device and system and an automobile. The driving mode switching method comprises the steps: determining a regeneration mark position of a GPF state monitoring module as a first position; judging whether the current working condition of a vehicle engine meets a GPF regeneration driving mode switching condition or not; when the current working condition of the vehicle engine meets the GPF regeneration driving mode switching condition, sending a driving mode switching request to an instrument controller; and after a drivingmode switching confirmation instruction is received, sending a driving mode switching instruction to the engine control system and a chassis system so as to control the engine and the chassis to workin the GPF regeneration driving mode. According to the driving mode switching method provided by the embodiment of the invention, the GPF regeneration driving mode can be flexibly and safely switched, the stability in switching the driving mode is improved, and the safety of the whole vehicle, the driving characteristics of the whole vehicle and the subjective willingness of a driver are considered.

The invention discloses an active power distribution network economic operation method for distributed energy interaction consumption. The method comprises when the total power generation amount and the total electricity consumption amount are not balanced, and the actual value of the electricity consumption of the current time period of a distributed energy resource deviates from the day-ahead planning amount, calculating the cost of the distributed energy resource for asking other distributed energy sources in the active power distribution network to consume the power deviation value deviating from the day-ahead planning amount; receiving the consumption response price fed back by the distributed energy resource for consuming the power deviation value, and generating an interactive operation scheme by adopting the consumption response price less than the cost; calculating the actual economic benefit generated by the interactive operation scheme by means of a constructed active powerdistribution network interactive operation economy model; performing safety verification on the interactive operation scheme with the optimal actual economic benefit by adopting the operation parameters of the active power distribution network; and when the interactive operation scheme of the optimal actual economic benefit meets the safety verification, controlling the active power distribution network to operate by adopting the interactive operation scheme.

The invention discloses a method for determining an entity relation diagram, device, server and storage medium, The method comprises: determining at least one entity in the target data, and extracts entity relationships between entities, determining the reliability of each of the entity relationships, according to the ranking of the reliability, A target entity relationship and correspond target entity pairs are determine, As that object entity relation is connected with the object entity pairs, the entity relation diagram is for and stored. The technical proposal solves the problems of storage overhead and tedious process caused by the storage of the existing entity and the relationship data, simplifies the determination process of the entity relation diagram, improves efficiency and saves storage space.

The invention discloses a detection depth determination method and device, equipment and a storage medium. The method comprises the steps that detection signals received by at least two wave detectorsare obtained, and the detection signals are generated by refracting and reflecting seismic waves emitted by seismic radar on the basis of underground media; according to set time duration, each detection signal is segmented so as to generate multiple sub detection signals; similarity parameters between each sub detection signal and other detection signals in the same sampling section are calculated, and the detection depth of the seismic radar is determined on the basis of the similarity parameters. According to the technical scheme, the determination process of the seismic radar detection depth can be simplified, required time for determining the seismic radar detection depth is shortened, consumed manpower and material resources for determining the seismic radar detection depth are reduced, the efficiency of determining the seismic radar detection depth is improved, and the application range of the seismic radar detection depth determination method is increased.

The invention discloses a plane equal-radius circular region division radius determination method based on the orthodontic arch wire bending point density, and relates to the technical field of orthodontic arch wire bending. According to a personalized orthodontic arch wire curve of a patient, based on an orthodontic arch wire curve bending point information set and a robot bending information setof bending points, and in combination with the motion characteristic of a robot in bending an orthodontic arch wire, the plane equal-radius circular region division radius determination method basedon the orthodontic arch wire bending point density is established. According to the technical key points, the method comprises the steps of importing equal-radius determined circular region division data and converting the orthodontic arch wire curve; calculating the initial trial division number of equal-radius determined circular regions; trying to divide the equal-radius determined circular regions; searching for the optimal trial division number; and outputting a reasonable-density equal-radius circular region division radius requal. According to the method, density judgment is adopted toadjust the trial division number of the circular regions, the division radius value of the reasonable-density equal-radius circular regions is determined, the efficiency of equal-radius circular region division is improved, the orthodontic arch wire bending planning efficiency is improved, and the problem that interference occurs in the orthodontic arch wire bending process of the robot is avoided.

A method, a destination network node apparatus and a mobile transmission network system for processing packet loss are provided in the embodiment of the present invention. The method includes the following steps: a destination network node receives data from a source network node through at least two links of transmission quality test protocol, wherein the service priority of the at least two links of transmission quality test protocol is different; when packet loss on the at least two links of transmission quality test protocol is detected, the reason of the pack loss is determined according to the packet loss ratio and the service priority of the at least two links of transmission quality test protocol. With the embodiment of the present invention, packet loss caused by error code or by congestion can be distinguished more efficiently.

The invention provides a color mixing method and system, computer equipment and a computer readable storage medium. The color mixing method comprises the steps of obtaining a source color, at least one superposition color and a transparency value corresponding to any one superposition color in the at least one superposition color in an image; Rendering for the first time according to the source color and the transparency value to obtain a rendered color value for the first time; Determining an accumulated superposition color according to the at least one superposition color; Determining empirical parameters according to the transparency values; And performing second rendering according to the first rendering color value, the cumulative superposition color and the empirical parameter to obtain an output color value. According to the technical scheme, the determination of the final mixed color can be completed completely without depending on the arrangement sequence of the superposed colors, and the obtained mixed effect is close to the rendering effect obtained by a traditional semitransparent mixing technology.

The invention discloses a method for determining food intake action of a user to solve the technical problem that the food intake action of the user cannot be determined in the prior art. The method includes the steps: acquiring a first induction parameter in a first moment through a sensor of an electronic device; acquiring a second induction parameter in a second moment through the sensor; determining the food intake action according to the first induction parameter and the second induction parameter. The intake action is used for representing an intake process from the first moment to the second moment. The invention further discloses the corresponding electronic device.

The embodiment of the invention discloses a data transmission method and terminal equipment. The method is applied to the terminal equipment. The terminal equipment is provided with an optical communication unit. The method comprises the following steps: acquiring human body feature information of a user; selecting at least one optical performance parameter according to the human body feature information, wherein the optical performance parameters include a light-color proportion, an optical flicker frequency and a light intensity; modulating a target light ray corresponding to the selected optical performance parameter by using the optical communication unit; and transmitting target data by using the modulated target light ray. In the embodiment of the invention, the target data are transmitted by the target light ray, and a single data transmission direction is adopted, so that the transmitted data are prevented from being intercepted easily, and the security of the target data is ensured effectively. Meanwhile, the optical performance parameter of the target light ray used during transmission of the target data is determined according to the acquired human body feature information, so that the security of the target data is improved further; meanwhile, the determining process of the optical performance parameter is simplified; and the user experience is improved.

The embodiment of the invention discloses a point cloud data denoising method, device and equipment and a storage medium, and relates to the field of automatic driving. According to the specific implementation scheme, the method comprises the steps: detecting candidate obstacles in cloud data; selecting a noise obstacle from the candidate obstacles according to the spatial occlusion relationship of the candidate obstacles; and performing denoising processing on the point cloud data according to the noise obstacle. According to the embodiment of the invention, the noise obstacle in the candidate obstacle is determined according to the spatial occlusion relation of the candidate obstacle, floating noise and secondary reflection noise in the point cloud data can be accurately removed, the denoising precision and efficiency of the point cloud data are improved, and the accuracy and real-time performance of the obstacle sensing process are further improved.