781results about How to "Reduce computing power requirements" patented technology

Apparatus and methods perform transactions in a secure environment between an individual and another party, such as a merchant, in various embodiments. The individual possesses a mobile electronic device, such as a smartphone, that can encrypt data according to a public key infrastructure. The individual authenticates the individual's identity to the device, thereby unlocking credentials that may be used in a secure transaction. The individual causes the device to communicate the credentials, in a secure fashion, to an electronic system of a relying party, in order to obtain the relying party's authorization to enter the transaction. The relying party system determines whether to grant the authorization, and communicates the grant and the outcome of the transaction to the device using encryption according to the public key infrastructure.

An In-Car Communication (ICC) system supports the communication paths within a car by receiving the speech signals of a speaking passenger and playing it back for one or more listening passengers. Signal processing tasks are split into a microphone related part and into a loudspeaker related part. A sound processing system suitable for use in a vehicle having multiple acoustic zones includes a plurality of microphone In-Car Communication (Mic-ICC) instances coupled and a plurality of loudspeaker In-Car Communication (Ls-ICC) instances. The system further includes a dynamic audio routing matrix with a controller and coupled to the Mic-ICC instances, a mixer coupled to the plurality of Mic-ICC instances and a distributor coupled to the Ls-ICC instances.

The invention discloses an intelligent network-connected automobile operation system based on vehicle-road collaboration. The intelligent networked automobile operation system comprises a high-precision map platform, a cloud control platform, a vehicle-mounted terminal platform, a vehicle-mounted computing platform and an information security platform. The high-precision map platform provides a real-time dynamic high-precision map; the cloud control platform and the vehicle-mounted terminal platform are subjected to cooperative management and control through a communication network; the cloudcontrol platform executes data storage, cloud computing and standardized data interconnection; the vehicle-mounted terminal platform executes information reporting; wherein the vehicle-mounted computing platform is connected with the vehicle-mounted terminal platform through the vehicle-mounted Ethernet, over-the-horizon perception data, map data, environment data and the like are obtained, a vehicle driving scheme is formulated through fusion calculation, and the cloud control platform, the vehicle-mounted terminal platform, the vehicle-mounted computing platform and the map platform are allprovided with safety monitors. Common basic services are provided for operation of the intelligent network connection automobile, and national and industrial development requirements are met.

A virtual smartcard and methods for creating the same are provided. A virtual smartcard is a set of computer-implemented processes, associated with an individual, which simulate the behavior of a physical smartcard or other authentication token containing a hardware security module. In one embodiment, a computer receives credential data derived from the physical credential and authentication data pertinent to the individual such as a biometric imprint, and creates a virtual smartcard by storing the credential data in association with the authentication data in a network storage. The credential data may later be used for identification and encryption purposes upon the individual providing the authentication data to the network storage, even if the physical credential itself has been lost. Thus, the virtual smartcard provides a network-based method for backing up a passport, driver's license, credit card, public transportation card, or other such identification card or device.

The invention discloses a multi-scale image semantic segmentation method. The method comprises the following steps: obtaining a to-be-segmented image and a corresponding label; constructing a full convolutional deep neural network, wherein the full convolutional deep neural network comprises a convolution module, a hole convolution module, a pyramid pooling module, a 1 * 1 * depth convolution layer and a deconvolution structure; setting hole convolution as channel-by-channel operation, and utilizing low-scale, medium-scale and high-scale characteristics in a targeted mode; training the full convolutional deep neural network, establishing a loss function, and determining parameters of the full convolutional deep neural network by training the sample image; and inputting the to-be-segmentedimage into the trained full convolutional deep neural network to obtain a semantic segmentation result. By means of the method, the image semantic segmentation problem with complex details, holes andlarge targets can be well solved while the calculated amount and the parameter number are reduced, and the consistency of category labels can be reserved while the target edges can be well segmented.

A mechanism for controlling the hardware resources on a blade server, and thereby limiting the power consumption of the blade server is disclosed. The enforceable hardware resources that are controlled include the base frequency of the central processing unit (CPU) as well as power to individual banks of physical memory, for example dual-inline memory modules (DIMMs). The hardware resources are tuned in dependence on actual server utilization such that applications running on the blade only have the allocated hardware resources available to them. Deactivated hardware resources are powered off and are so ‘hidden’ from the operating system when they are not required. In this manner, power consumption in the entire chassis can be managed such that all server blades can be powered on and operate at higher steady-state utilization. The utilization of the powered on resources in a blade center is also improved.

A mechanism for controlling the hardware resources on a blade server, and thereby limiting the power consumption of the blade server is disclosed. The enforceable hardware resources that are controlled include the base frequency of the central processing unit (CPU) as well as power to individual banks of physical memory, for example dual-inline memory modules (DIMMs). The hardware resources are tuned in dependence on actual server utilization such that applications running on the blade only have the allocated hardware resources available to them. Deactivated hardware resources are powered off and are so ‘hidden’ from the operating system when they are not required. In this manner, power consumption in the entire chassis can be managed such that all server blades can be powered on and operate at higher steady-state utilization. The utilization of the powered on resources in a blade center is also improved.

A robot direct teaching control method based on moment balance is characterized in that current values of joint motors of a robot under some specific poses and moving states are calculated through measurement and modeling, and an analytic expression of the current values required by balancing of the gravity and the friction of joints under any pose and any moving state of the robot is obtained. During robot teaching, the current values calculated through the analytic expression are directly utilized to control the joint motors to enable the robot to be located under the environment similar to the environment without gravity and friction, and direct teaching can be conducted on the robot at the moment. The method has the advantages of being simple in control, low in system cost, convenient to operate and the like.

The invention discloses a 360-degree dead-angle-free obstacle intelligent detection and early warning method for a vehicle, comprising the following steps that system errors are corrected through the external contour modeling of the vehicle and the correction of a sensor; surrounding areas surrounding the vehicle are classified into an effective scanning area, an ineffective scanning area and a dead angle area; and a trip computer acquires obstacle information through the vehicle-mounted radar sensor, calculates and obtains relative data of obstacles and the vehicle and running data of the vehicle relative to a stationary ground and outputs a two-dimensional top view plane of a vehicle roof from top to bottom. A driver can comprehensively know obstacles, vehicles and other objects surrounding the vehicle at any time through a display. The invention provides accurate environmental information for narrow road driving, lane switching driving and reversing of the vehicle and is a driving safety auxiliary method with extremely high intelligence and applicability.

The invention discloses a large-scale intelligent warehousing distributed sorting system. By using a current intelligent warehousing system, a scale is limited, deployment cost is high and large scaledeployment can not be realized. The system of the invention is mainly used to solve the above problems. The system comprises a central control server (1), a plurality of sorting platforms (2), a plurality of mobile robots (3), a plurality of movable shelves (4) and a plurality of scheduling servers (5). The central control server is communicated with the plurality of sorting platforms and the plurality of scheduling servers in a wired mode. Each mobile robot is wirelessly communicated with the scheduling servers and completes the carrying of the different movable shelves according to the instruction of the system. The scheduling servers are arranged in the different areas of a warehouse. Under the assistance of the central control server, the task scheduling of the mobile robots is completed, and the mobile robots are controlled to avoid collision during an operation process. By using the system of the invention, operation efficiency is high, anti-interference performance is good during operation, the extensible capability of deployment is good, and the system can be used for large-scale warehouse logistics management.

Information received by a calculating unit via a signal from a transmitting station to a receiving station is provided with a code, a number of integral multiples of the code coming into the receiving station during the signal transfer time that the signal requires to travel between the transmitting station and the receiving station. During a first iteration, the number of integral multiples of the code is calculated and the calculated number is used at least in a second iteration without a fresh calculation being carried out.

The invention discloses a Wi-Fi signal fingerprint positioning algorithm for assisting in speculating flight tracks of pedestrians. A PDR positioning algorithm and a Wi-Fi signal fingerprint positioning algorithm are utilized for estimating positions alternatively, and the respective errors of the two algorithms are respectively amended by utilizing the result of the other one; the initial position P(x) of a user is equal to{x(0), y(0)} and is obtained by the KWNN (K weighted nearest node) based Wi-Fi signal fingerprint positioning algorithm; after the user begins to move, the variation of speed and angular speed is measured by an accelerometer and a gyroscope; the coordinate of each step of the user is estimated by utilizing the PDR positioning algorithm; Wi-Fi fingerprint positioning is carried out based on KWNN once until the user proceeds by the preset steps m, and the Wi-Fi fingerprint positioning result acts as the current result of the user; in the following m steps, the PDR positioning calculation is carried out based on the previous Wi-Fi fingerprint positioning result, and the operations are repeated in the way. The KWNN algorithm in Wi-Fi signal fingerprint positioning the corner is restrained by utilizing the movement distance and a corner output by the PDR, and the selection of the movement distance and a corner constraint reference point is obtained by the PDR within short time, so that the aim of improving the positioning precision by utilizing the KWNN algorithm is realized.

A method and system for supporting multi-processing within an asymmetric processor architecture in which processors support different processor specific functionality. Instruction sets within processors having different functionalities are modified so that a portion of the functionality of these processors overlaps within a common set of instructions. Code generation for the multi-processor system (e.g., compiler, assembler, and / or linker) is performed in a manner to allow the binary code to be generated for execution on these diverse processors, and the execution of generic tasks, using the shared instructions, on any of the processors within the multiple processors. Processor specific tasks are only executed by the processors having the associated processor specific functionality. Source code directives are exemplified for aiding the compiler or assembler in properly creating binary code for the diverse processors. The invention can reduce processor computation requirements, reduce software latency, and increase system responsiveness.

The invention relates to a positioning system and method based on bionic polarized light navigation. The positioning system comprises an electronic compass, a bionic polarized light angle sensor, a horizontal sensor, an astronomical calendar query module and a computer, wherein the computer is respectively and mutually connected with the electronic compass, the bionic polarized light angle sensor and the astronomical calendar query module. The positioning system and method disclosed by the invention combine astronomical navigation with the polarized light navigation, obtain the longitude and latitude of an observing point through calculation and realize positioning by natural phenomena without man-made systems, such as a secondary planet and a radio base station; and the positioning system disclosed by the invention has the advantages of simple structure, low requirement on calculated performance, low production cost, less positioning process step, short time, high measurement accuracy and very high practicability.

A passive electro-optical tracker uses a two-band IR intensity ratio to discriminate high-speed projectiles and obtain a speed estimate from their temperature, as well as determining the trajectory back to the source of fire. In an omnidirectional system a hemispheric imager with an MWIR spectrum splitter forms two CCD images of the environment. Three methods are given to determine the azimuth and range of a projectile, one for clear atmospheric conditions and two for nonhomogeneous atmospheric conditions. The first approach uses the relative intensity of the image of the projectile on the pixels of a CCD camera to determine the azimuthal angle of trajectory with respect to the ground, and its range. The second calculates this angle using a different algorithm. The third uses a least squares optimization over multiple frames based on a triangle representation of the smeared image to yield a real-time trajectory estimate.

A passive electro-optical tracker uses a two-band IR intensity ratio to discriminate high-speed projectiles and obtain a time-varying speed estimate from their time-varying temperature, as well as determining the trajectory back to the source of fire. In an omnidirectional system a hemispheric imager with an MWIR spectrum splitter forms two CCD images of the environment. Various methods are given to determine the azimuth and range of a projectile, both for clear atmospheric conditions and for nonhomogeneous atmospheric conditions. One approach uses the relative intensity of the image of the projectile on the pixels of a CCD camera to determine the azimuthal angle of trajectory with respect to the ground, and its range. A second uses a least squares optimization over multiple frames based on a triangle representation of the smeared image to yield a real-time trajectory estimate.

The invention concerns a method of providing a multi-modal dialog between a multi-modal application (5) and a user (6) communicating with the multi-modal application (5) via a client (4) suited to exchange and present documents (7) encoded in standard or extended hyper text mark-up language. The invention further concerns a proxy-server (2) for executing this method. The multi-modal dialog between the multi-modal application (5) and the user (6) is established through the proxy-server (2) interacting with the client (4) via exchange of information encoded in standard or extended hyper text mark-up language. The proxy-server (2) retrieves at least one additional resource of modality requested within the multi-modal dialog. The proxy-server (2) composes a multi-modal interaction with the user (6) based on standard or extended hyper text mark-up language interactions with the client (6) and on the retrieved additional resources (71, 72, 73, 31, 32, 33).

The invention discloses a step-by-step teaching robot based on motor power. The step-by-step teaching robot comprises a base and a multi-joint arm connected with the base. The multi-joint arm is in transmission connection with a connecting joint of the base through a join shaft, and all joints of the multi-joint arm itself are all in transmission connection through joint shafts. The step-by-step teaching robot further comprises an encoder for detecting and recording the movement situations of the joint shafts, the joint shafts are connected with a motor, and the encoder is electrically connected with a control system. A power computing system is further arranged. A manipulation sensing mechanism is arranged at the tail end of the multi-joint arm, and the power computing system is electrically connected with the motor and the manipulation sensing mechanism. The invention further discloses a control method of the robot. According to the step-by-step teaching robot based on the motor power and the control method of the robot, the rotation directions of the joint shafts are determined through trigger signals on the manipulation sensing mechanism to enable the motor power torque providing process to be smooth and sensitive. The computing amount in signal processing is small, complex dynamics equations do not need to be solved, and therefore the requirement for the computing capacity of a CPU is greatly lowered. The step-by-step teaching robot based on the motor power and the control method of the step-by-step teaching robot can be used in the fields such as spray coating production lines.

The invention provides an intelligent decision-making and local trajectory planning method for an autonomous vehicle and a decision-making system thereof. The method comprises the following steps: step 1, sampling a given vehicle current position and a given target position point according to road information; step 2, simplifying trajectory calculation through a Frenet coordinate system, interpolating a path corresponding to a future traversal trajectory of the vehicle by using a polynomial, and solving a trajectory set through an initial state and a target state of the vehicle; step 3, carrying out cost evaluation on the track set, performing sorting according to a minimum principle, and sequentially checking whether constraint conditions are met or not according to a sorting result until an optimal track meeting the constraint conditions at the same time is determined; and step 4, after the optimal track is obtained, issuing a driving command for vehicle motion control. According to the method, the complex nonlinear trajectory planning problem is simplified, the trajectory planning difficulty is reduced, a smooth and smooth trajectory is planned, and the vehicle can run more stably.

The invention provides a detection system for detecting targets around a vehicle and application of the detection system. The detection system includes a vehicle front forward direction sensor (1), a vehicle roof forward direction sensor (2), a right front sensor (3), a left front sensor (4), a right rear sensor (5), a left rear sensor (6), a rear sensor (7), a left side sensor (8), a right side sensor (9) and target selection modules (10), wherein the target selection modules (10) include a forward direction target selection module (11) and a side direction and backward direction target selection module (12), wherein the forward direction target selection module is configured to select targets at least four positions in front of the vehicle as vehicle front side tracking targets based on received target motion information, and the side direction and backward direction target selection module is configured to select targets at the side direction and backward direction of the vehicle as vehicle side direction and backward direction tracking targets according to received target motion information.

The present invention relates to a method for quickening the page browsing switching speed. The method comprises the following procedures: first, the pre-fetching information of follow-up pages is added to the current page; second, a server demands that a browser prefetch the follow-up pages according to the pre-fetching information of the follow-up pages; last, a browser makes a page display by using a pre-fetching page. The method above decides pre-fetching links through the server, effectively improves the pre-fetching hit ratio, greatly quickens the switching speed of pages, and decreases the demand to the terminal computational capability at the same time.

The invention provides a blockchain account processing method and apparatus, and a storage medium. The blockchain account processing method comprises the steps of obtaining a request for generating ablockchain account; generating a random polynomial, and generating a quantum private key according to the random polynomial and the request; generating a quantum public key from the quantum private key through a Falcon encryption algorithm; and performing Hash mapping and coding on the quantum public key to obtain a quantum wallet address corresponding to the quantum public key. The quantum publickey is generated through the Falcon encryption algorithm, the security level of the block chain account is improved, and cracking of an existing block chain account system by a quantum computer can be resisted; Compared with an existing secret key formed by a student with a later quantum password, the quantum private key and the quantum public key generated by the method are smaller in storage space and faster in signature and verification speed, and the operation burden caused to the block chain server is also reduced.

A method is described for determining a time duration (TiN) for an electric actuation of a valve which has a coil drive, in particular of a direct-injection valve for an internal combustion engine. The method comprises (a) a deactivation of a current flow (400) through a coil of the coil drive, such that the coil is in a currentless state, (b) a detection of a time profile (410) of a voltage induced in the currentless coil, (c) a determination of the closing time of the valve on the basis of the detected time profile (410), and (d) a determination of a time duration (TiN) of the electric actuation of the valve for a future injection process on the basis of the determined closing time. Also described are a corresponding device and a computer program for carrying out the described method.

The present invention relates to an internet picture transparent and safe transmission method based on chaotic encryption, and provides a chaotic digital image encryption transmission solution scheme which supports the automatic generation of a secret key and is fully transparent to the internet user operation. According to the internet picture transparent and safe transmission method based on the chaotic encryption, a browser client utilizes a JavaScript program to automatically map, calculate and obtain two key Logistic chaotic secret key parameters according to the information, such as the usernames, password Hash values, etc. inputted by the internet valid users, to realize the safe and transparent encryption and transmission on the to-be-uploaded pictures of users; a server terminal can query a user database according to the registered username to obtain the password Hash value of a user, so that a same chaotic random sequence can be obtained, and finally the encrypted pictures uploaded by the user can be decrypted; on the contrary, when the user registers validly to require the server pictures, the JavaScript program can automatically carry out the chaotic secret key parameter calculation and chaotic decryption operations at a browser terminal. According to the scheme of the present invention, the balance problem among the security, the encryption efficiency, the secret key management and the like of the internet picture transmission can be solved effectively.

The invention discloses a method, a device and a system for realizing dynamic blocking in a three-dimensional role playing game. The method comprises the following steps of: setting areas required to be dynamically blocked in a projected two-dimensional game scene in advance, establishing a mapping relationship table between each set dynamically blocked area identifier and a corresponding blocking type, storing the mapping relationship table in a file, distributing the file to a server and a client, storing the mapping relationship table by the client, and establishing a mapping relationship between a three-dimensional game scene and the two-dimensional game scene; when the next found dynamically blocked area comprises a game event, acquiring a dynamically blocked area identifier corresponding to the game event; updating the established mapping relationship table according to blocking type information which carries the dynamically blocked area identifier and is returned from the server; and determining a game path according to the updated mapping relationship table, and acquiring a game operation strategy corresponding to the blocking type of the dynamically blocked area identifier for operation according to the determined game path. By the method, the device and the system, the user cost can be lowered, and the synchronization efficiency can be improved.

A tabular method of non-intrusive electrical load decomposition includes the following steps of: conducting off-line statistics of unit current parameters of various pieces of electric equipment; selecting the type of main electric equipment according to electrical load; selecting a power proportion spacing to combine the power proportion vectors of all possible main electric equipment inside the electrical load; obtaining the electrical load unit estimation current corresponding to the power proportions in an off-line way and forming a corresponding table of the power proportions and the unit estimation current; thinning the corresponding table of the power proportions and the unit estimation current into a plurality of sub corresponding tables according to the size of parameters of the unit estimation current; according to the size of a practically detected load current parameter, judging a sub corresponding table therein; and finding the load unit estimation current closest to the practically detected load current in the sub table, obtaining the power consumption proportion of the main electric equipment inside the load and realizing load decomposition. The tabular method can decrease the calculation quantity of load decomposition effectively and can be applied to the fields of load monitoring, electrical energy consumption analysis, load energy saving, load prediction, load modeling and the like in an electric power system.

In an encoding method of moving pictures which generates a predictive picture for a current picture based on a reference picture and a motion vector, a macroblock is divided into subblocks. In each of the plurality of subblocks, an initial value of the motion vector is set and an evaluated value E on a difference between the current picture and the reference picture is calculated along a steepest descent direction to determine the minimum value. Then, the smallest evaluated value is selected among the minimum values obtained on the plurality of subblocks to determine the motion vector based on the pixel position of the smallest value.

An audio encoding system that accepts an audio signal as an input to the system. The system includes a filter bank that splits the audio signal into a plurality of frames, and a bit allocation unit that assigns a number of bits for a current frame of the plurality of frames. The system further includes a scale factor unit that calculates a scale factor, identifies a block type of a first block of a current frame, identifies a block type of a second block consecutive to the first block, and reuses a scale factor of the first block for the second block, when the block type of the first block and the block type of the second block match. The system additionally includes a quantization and coding unit that quantizes and codes the signal, and a bit rate checker that verifies whether a bit rate requirement is satisfied.

Methods for authenticating a property of an article in electrical communication with a verifier system including, for example, reading an identification code from the article, generating a challenge phrase from a verifier system, writing a challenge phrase to a first memory location on the article, reading a response phrase from the second memory location on the article, wherein the second memory location is configured to respond with a combinational logic gate output of the second memory location and the first memory location, generating a message authentication code by encrypting the identification code using a predetermined algorithm, generating a comparison code, wherein the comparison code is a combination logic gate output of the message authentication code and the challenge phrase, and determining if the comparison code is equivalent to the response phrase. Articles configured for use with the same.