474results about How to "Save computing power" patented technology

Systems and methods for, among other things, providing a storage system which allows for efficient tracking of in-use storage disk blocks using “sharing nodes”. Disk blocks are a result of low-level formatting, which breaks up the total storage capacity into a set number of blocks. High-level formatting of the disk creates the file system, and part of the file system may create metadata known as inodes, and associate an inode with each file, such that an inode tracks the disk blocks in use by that file, pointing from the file to a set of blocks. An S-node generator creates another type of metadata, complementary to an inode, known as an S-node data structure, such that an S-node data structure is associated with a block, and tracks the set of inodes using the block, pointing from the disk blocks to inodes.

A system and method of determining an earliest delivery date for a demand on the basis of a fact table stored in a database, where the demand indicates both a desired date and a desired quantity for items from a stock, where a fact time series is comprised by and/or deducible from the fact table, and where the fact time series comprises fact tuples indicating both a fact date and a change in quantity of stock items that occurred on this fact date. The method includes generating an aggregated time series from the fact time series by defining and/or obtaining discrete time intervals, and generating, for at least one discrete time interval, an aggregated tuple indicating both its corresponding discrete time interval and the aggregated change in quantity of stock items that occurred in its corresponding discrete time interval.

A method for evaluating data is based on a computational model, the computational model comprising model data, a training function and a prediction function. The method includes training the computational model by: receiving training data and training result data for training the computational model, and computing the model data from the training data and the training result data with the training function. The method includes predicting result data by: receiving field data for predicting result data; and computing the result data from the field data and the model data with the prediction function. The training data may be plaintext and the training result data may be encrypted with a homomorphic encryption algorithm, wherein the model data may be computed in encrypted form from the training data and the encrypted training result data with the training function. The field data may be plaintext, wherein the result data may be computed in encrypted form from the field data and the encrypted model data with the prediction function.

The invention relates to a lightweight anonymous authentication and key negotiation method in a multi-server environment and belongs to the technical field of information safety. The method is characterized by achieving the anonymous authentication and key negotiation in the multi-server environment by means of the following three steps: (1) building a system and selecting system parameters; (2) registering in a registering center RC by a server and a user; (3) carrying out authentication and key negotiation by the user and a remote server so as to provide subsequent communication session keys. The lightweight anonymous authentication and key negotiation method is applicable to remote authentication of a mobile terminal and servers with low calculation capability, memory space and communication capability; the mobile terminal can log in any server registered by RC through a user name and a password; the server only can authenticate that the user is a valid user and cannot know the specific identity of the user, so that the privacy of the user is protected; the lightweight anonymous authentication and key negotiation method is excellent in expansibility; the two-party negotiation session keys are determined by random numbers Ni1 and Ni2 selected by authenticating for each time by two parties; the independence and the forward and backward security of the session keys are ensured.

When a sub-section of a predefined path temporarily cannot be traversed by an autonomous mobile unit, an extended path is found for subsequently traversing the temporarily blocked sub-section. A first path point of the predefined path is determined using at least one predefinable distance criterion, which takes into consideration the distance of the temporarily blocked sub-section from the first path point. An extension sub-section is determined which begins at the first path point, terminates at a second path point of the predefined path and encompasses at least the temporarily blocked sub-section. The extended path is programmed with the extension sub-section being integrated into the predefined path at the first path point.

The invention discloses a vehicle driving redundancy control system which comprises a vehicle sensor, a controller, a redundancy controller, a controlled system, an actuator, a trunk network and a redundant network; the controller comprises a control module and a state monitoring module; the control module is used for receiving sensing signals of the vehicle sensor uninterruptedly, generating a corresponding vehicle control instruction according to the sensing signals and sending the vehicle control instruction to the controlled system through a trunk network; the controlled system operates the actuator to execute a corresponding vehicle control action according to the vehicle control instruction; and the state monitoring module is used for detecting whether the control module has a fault.According to the invention, the integrity and the communication reliability of the control system can be guaranteed more effectively while the cost of the controller is guaranteed.

The present invention relates to a method for the recognition and tracking of a moving object, in particular of a pedestrian, from a motor vehicle, at which a camera device is arranged. An image of the environment including picture elements is taken in the range of view of the camera device (20) by means of the camera device at regular time intervals and those picture elements are identified with the help of an image processing system which correspond to moving objects to be tracked. A picture element is extracted for each of these objects which represents a projection in image coordinates of that spatial point at which the object contacts a road plane The movement of the corresponding spatial point in the road plane is tracked by means of a state estimator which uses an at least four-dimensional state vector whose components are a position of the spatial point in the road plane and an associated speed in the road plane, wherein the tracking of the movement by the state estimator includes the steps that a prediction is generated for the state vector, this prediction is converted into image coordinates via suitable projection equations, an error to be expected for this prediction is calculated in image coordinates by means of a covariance matrix, and this prediction is compared with the picture element extracted in a later image and is updated.

A method for compressing image includes selecting at least two statistic points from image, judging whether color number sum of two selected statistic points is greater than preset color number threshold or not and applying destructive compression algorithm to carry out compression on image if it is or otherwise applying nondestructive compression algorithm to carry out compression on image. The compression device used for realizing said method is also disclosed.

The invention discloses a certificateless multi-receiver signcryption method with a multivariate-based cryptosystem. The certificateless multi-receiver signcryption method is used for solving the technical problem of poor security of an existing certificateless signcryption method. The technical scheme includes that the method includes: firstly, using a key generation center to generate system parameters, and selecting a secure multivariable encryption algorithm to generate keys; and enabling a user U to obtain system private keys of the key generation center and generate the private keys to user keys prior to that a user Alice with the identity IDA sends signcryption messages to a user group L={ID1, ID2,...,IDt}, and accepting or refusing ciphertext sigma by means of un-signcryption. By the aid of the multivariate-based cryptosystem, high security of anti-quantum computation is achieved, and the certificateless multi-receiver signcryption method is still high in security facing attack of a quantum computer. Compared with the background art, the certificateless multi-receiver signcryption method is small in computation and high in security, has the advantages of completeness, confidentiality, unforgeability, forward security, backward security, receiver privacy protection and the like and is capable of resisting existing known attack.

A method for an access system for a vehicle includes the steps of recording a first optical information in a specific area surrounding the vehicle and detecting an object approaching the vehicle as a function of the recorded first optical information. As a function of detecting the approaching object, a second optical information in the surrounding area is recorded, and gesture information of the object is identified as a function of the second optical information. A locking device or door opening device of the access system is triggered as a function of gesture information.

The invention proposes a packet-classification method and the implementation device based on the Bloom Filter, including a Counting Bloom Filter forecasting module used for executing the forecast based on the Counting Bloom Filter towards the 5-tuple of the received and extracted IP packet of the network device and acquiring the forecast result and a rule matching module used for matching the forecast result with the rule table organized into a Hash table and determining the rule applied on the IP packet. The SRAM storage rule can be adopted to support the large rule set with the size of more than 100K and the real-time updating of the rule set; besides, the packet-classification method and the implementation device based on the Bloom Filter have extensibility and reduce the average storage accessing time to less than once and process the IP packet flow with the speed of 10Gbps or even higher speed through line-speed processing under certain conditions.

The invention discloses a data aggregation method based on compressed sensing in a wireless sensor network. The method includes: uniform clustering of the sensor network is performed, a node with the most residual energy is selected as a cluster head node, member nodes independently select whether to participate in sampling with the probability ptx, and the cluster head node always participate in sampling; then sampling nodes obtain original signals f and obtain sparse representations x thereof through transform of sparse transform bases, x are projected in a measuring matrix phi, sparse measuring signals y are obtained and sent to the cluster head node, and the cluster head node merges the collected measuring signals to a signal Y by employing vectorization operators and sends the signal Y to a fusion center; and finally the fusion center performs reconstruction on the signals one by one by employing an adaptive weight GPSR algorithm and recovers the sparse representations X thereof. According to the method, the characteristics of noise-containing signals, large data bulk, and high timeliness requirement of the wireless sensor network are completely achieved, the adaptive weight GPSR algorithm does not need to know the signal sparsity in advance, and all high-dimensional signals can be accurately reconstructed in a short period.

The invention discloses an automatic driving vehicle positioning method based on millimeter wave radar, which is mainly used for realizing vehicle lane level positioning based on vehicle information fed back by sensors such as millimeter wave radar, GPS and the like in combination with an improved particle filtering algorithm. According to the method, the linear velocity and the angular velocity of a vehicle in a vehicle ODOM are inputted into a prediction model of a filtering algorithm, point cloud data preprocessed by a millimeter-wave radar and a constructed occupied grid map are subjectedto data matching and a new particle weight is calculated. In addition, in order to improve the robustness of the positioning algorithm, the traditional algorithm is improved, and positioning results and corresponding confidence coefficients are calculated according to different weight sums of particles; and in the resampling stage, part of new particles calculated according to GPS position information are added into the particle swarm. The cost of the whole positioning system is effectively reduced while the vehicle positioning precision is ensured and the popularization of the automatic driving technology is facilitated.

A method for adapting an upper headlight beam boundary of a light cone of at least one headlight of a vehicle. The method includes detecting a time curve of a pitch rate of the vehicle or a value that is dependent on the pitch rate and/or of a roll rate of the vehicle or a value that is dependent on the roll rate. The method also includes ascertaining an envelope curve and/or an amplitude of the time curve and/or an average value of the time curve. The method also includes providing a control signal for adapting the upper headlight beam boundary of the headlight beam.

A method and a device are for prediction and adaptation of movement trajectories of a vehicle for assisting the driver and/or for preventing or reducing the severity of a collision. Situatively required movement trajectories for assisting the driver or collision avoidance are determined using an environment sensor system. Physically possible movement trajectories are determined from characteristic properties of the driving dynamics of the vehicle and from the coefficient of friction between the tires and the road up to a maximum coefficient of friction. An intersection between the above two sets of trajectories is determined, and only trajectories that are included in this intersection are taken into account for the prediction and adaptation of movement trajectories for the driving assistance or collision avoidance function.

The invention discloses a target tracking method suitable for execution in a computing device, which includes that steps of generating an optical flow image by using a series of event data from a dynamic vision sensor, the event being triggered by a relative motion of the target object and the dynamic vision sensor; Determining a motion speed and a motion direction of at least one target object ina current image frame based on an optical flow image; Predicting the position of the corresponding target object in the next image frame according to the motion direction and the motion speed; And when the predicted position is within the field of view, taking the corresponding target object as the target to be tracked. The invention also discloses a corresponding computing device.

A method for monitoring a drive-by-wire system of a motor vehicle, including: temporally offset reading in of at least two input values of an input quantity of an operating element of the motor vehicle; ascertaining a change over time or rate of change over time of the input quantity from the at least two read-in input values; determination of a monitored quantity for the motor vehicle operation from the change over time or rate of change over time; selection of a monitoring function on the basis of the monitored quantity; monitoring of the monitored quantity for the ascertained motor vehicle operation by the monitoring function.

The invention provides a trajectory prediction system and method, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining the historical position of an automatic vehicle in a world coordinate system, the historical relative position of a to-be-predicted object relative to the automatic vehicle, and the environment information of the to-be-predicted object, based on the historical position of the automatic vehicle in the world coordinate system, the historical relative position of the to-be-predicted object relative to the automatic vehicle and the environment information of the to-be-predicted object, obtaining the historical positions of the to-be-predicted object and surrounding obstacles in the world coordinate system; according to the historical positions of the to-be-predicted object and the surrounding obstacles in the world coordinate system, obtaining and semantically extracting the relative historical trajectory of the to-be-predicted object based on the historical relative positions of the to-be-predicted object relative to the surrounding obstacles, and combining the relative historical trajectory with the lane information subjected to semantic extraction to obtain a semantic historical trajectory; and inputting the semantic historical trajectory into the trajectory prediction model to perform trajectory prediction of the to-be-predicted object. According to the method, the unmanned driving computing power is greatly improved, the computing consumption in the unmanned driving operation is minimized, the prediction precision can be ensured, and the engineering requirements are better met.

The invention discloses a method and a device for monitoring the input optical power of an avalanche photoelectric diode, and provides a novel ROSA; a planar optical waveguide splitter splits a received input optical signal into two circuits, wherein one circuit of light with high optical power is distributed to the traditional avalanche photoelectric diode of an optical receiver and is applied to an original optical receiver, and the other circuit of light with low optical power is distributed to a linear photoelectric diode for improving the monitoring precision to the input optical power. The technical scheme can reduce the cost and the complicacy of a monitoring system to the input optical power of the traditional avalanche photoelectric diode in the optical receiver, and improve the monitoring precision to the input optical power.