700results about How to "Effective calculation" patented technology

A method of displaying and navigating information using a hierarchical, spring loaded DHTML menu system that adjusts to fit the boundaries of a resizable, container (FIG. 1). A set of standard HTML table row elements, having a hierachical dependency (11), is consistently displayed as a web-page, under reasonable resizing. This is done using a strut row that produces the largest width requirement when the table structure is resizing to occupy a small width. Only the current row elements and the strut element are required in calculating table resizing to ensure that whichever data elements are displayed when a web-page resizing occurs, the browser auto-layout algorithm calculations will result in a resize attributes that enables all other row elements of that menu to be accommodated by the newly determined table width. As the row elements may themselves be table structures, nested menus of information may be displayed and navigated (12).

An imaging system comprises a device to excite mechanical waves in elastic tissue, a device for measuring the resulting tissue motion at a plurality of locations interior to the tissue at a number of time instances, a computing device to calculate the mechanical properties of tissue from the measurements, and a display to show the properties according to their location. A parameter identification method for calculating the mechanical properties is based on fitting a lumped dynamic parametric model of the tissue dynamics to their measurements. Alternatively, the mechanical properties are calculated from transfer functions computed from measurements at adjacent locations in the tissue. The excitation can be produced by mechanical vibrators, medical needles or structures supporting the patient. The measurements may be performed by a conventional ultrasound imaging system and the resulting properties displayed as semi-transparent overlays on the ultrasound images.

The present invention provides a bi-direction authentication method and system which belongs to the field of network communication. The present invention aims at solving the problems that certificate management in present private key authority technology is complex and the certificate management can not protect the identity of the users. The present invention provides a bi-direction authority method. The present invention includes the procedures of the system initialization and generating system parameters, an applicant initializing a dialogue request to establish connection with an authorization server, the applicant and the authorization server mutually check identity and generate a pair of main key which is used for the four-procedure-hand-shaking. The present invention also provides a bi-direction authorization system. The system includes a parameter initialization module, an establishing dialogue connecting module, a server identity verification module and an applicant identify verification. Applications of the technical proposal of the present invention can reduce the establishing and maintenance cost of the system, to enhance the running efficiency of the system, and to realize the target of protecting applicants.

An apparatus for achieving an accelerator of a sparse convolutional neural network is provided. The apparatus comprises a convolution and pooling unit, a full connection unit and a control unit. Convolution parameter information and input data and intermediate calculation data are read based on control information, and weight matrix position information of a full connection layer is also read. Then a convolution and pooling operation for a first iteration number of times is performed on the input data in accordance with the convolution parameter information, and then a full connection calculation for a second iteration number of times is performed in accordance with the weight matrix position information of the full connection layer. Each input data is divided into a plurality of sub-blocks, and the convolution and pooling unit and the full connection unit perform operations on the plurality of sub-blocks in parallel, respectively.

A wireless localization technology using efficient multilateration in a wireless sensor network is disclosed. After calculating estimated distances from each of at least three reference nodes to a blind node using received signal strength of wireless signals that the at least three reference nodes received from the blind node, the estimated location of the blind node is obtained through multilateration using the calculated estimated distances. To correct error in the estimated location, the estimated distances are used, and the error correction direction and error correction distance for the estimated location are calculated by applying a largest weight to the reference node closest to the estimated location. The error of the estimated location is corrected by move the estimated location of the blind node by the calculated error correction direction and error correction distance. Calculation for the error correction is very simple and fast.

Disclosed herein is a mobile robot, and system and method for autonomous navigation of the same. The mobile robot includes a communications module for transmitting a light source control signal to selectively control light sources of a landmark array to flicker, an image processing module for calculating image coordinates of the light sources from an image signal, a pose calculation module for calculating position coordinates of the mobile robot, a motion control module for calculating a moving path and controlling the mobile robot to move along the moving path, and a main control module for controlling interoperations of the modules and general operations of the mobile robot.

Disclosed are a method and apparatus for ensuring the integrity of data. In one embodiment, the present invention, for a plurality of data packets comprising a plurality of first data segments and a plurality of second data segments, calculates a cryptographic checksum for the plurality of first data segments and enables the cryptographic checksum for the plurality of first data segments to be transmitted separately from the plurality of data packets.

The object of the present invention is to provide a high-speed signal search method, device, and a recording medium for the same that can obtain detection results equivalent to precisely moving a window over the entire region of the input signal even when there is not precise movement of a window over the entire signal.The present invention provides a first step that generates a feature quantity sequence for a pre-recorded reference signal; a second step that sets the input signal window for the input signal that has been input; a third step that generates a feature quantity sequence for the input signal of this input signal window; a fourth step that calculates the input signal similarity value showing the degree of similarity between the feature quantity sequence generated in the first step and the feature quantity sequence generated in the third step; a fifth step that calculates the skip width showing the amount that the input signal can be moved; and a sixth step that determines the position of the input signal window based on the skip width calculated in the fifth step, sets the input signal window to this position, and calculates the input signal similarity value for each position of the input signal window by repeating the third step to the sixth step; and further, determines whether or not the reference signal exists at the position that the input signal window presently shows in the input signal based on the result of comparing the input signal similarity value and the predetermined threshold value.

A shredding device, method, system, and software program for the destruction or obliteration of confidential information. The invention may have the ability to shred by a unit of measurement. The device being a self-service bulk shredder that charges the user by a unit of measurement, such as: weight, time, or number of various item types or pages. These items types may be sorted and logged by units. In addition, the size of the shredding maybe selected. The unit information may be used to determine a cost and usage data for operational and management purposes. A user may place bulk items in the shredder to be weighed to assess a cost and display cost and payment information to a user. Payments may be made electronically and/or by cash. The device can produce an itemized receipt and/or a Certificate of Destruction, which may be provided electronically and/or emailed.

A method of providing physics data within a game program or simulation using a hardware-based physics processing unit having unique architecture designed to efficiently calculate physics related data.

A battery pack, and more particularly, a temperature compensated current measuring device which can accurately measure an actual current flowing in a circuit of a charging/discharging path in the battery pack. The temperature compensated current measuring device includes a conductor in which current flows, a temperature sensor disposed around the conductor to measure a temperature of the conductor, and a temperature compensated current detection circuit part electrically connected to two positions of the conductor to measure a voltage between the two positions, electrically connected to the temperature sensor to measure a temperature of the conductor, and measuring the current flowing in the conductor by using the measured temperature and the voltage as an input signal. Thus, it is possible to accurately calculate an actual charging/discharging current with the temperature compensated current measuring device and effectively control the charging capacity of the battery pack.

A device for classifying of supraventricular tachyarrhythmia (SVT) from ventricular tachyarrhythmia (VT) comprising means for providing a template signal and a test signal originated from an electrogram, the template signal and the test signal comprising samples, means for transforming at least the test signal resulting in a representation of the test signal where the sample values of the signal take integers, means for determining a correlation between the template signal and the test signal and means for classifying of SVT from ventricular VT based on the correlation.

The present invention relates to a system for displaying selected information to a person undertaking exercises comprising a physical data assessment unit (1), a physical data gathering unit (2), a motion template database (4); the physical data gathering unit (2) and the motion template database (4) being in communication with the physical data assessment unit (1); the system further comprises an impairment profile generator (5), an information database (6) comprising audiovisual information to be displayed to the person according to the impairment profile; an audiovisual display unit (7); the information database (6) and the audiovisual display unit are in communication with the impairment profile generator (5) and the impairment profile generator (5) is in communication with the physical data assessment unit (1). According to the impairment profile, information such as advertisements is displayed on display (7) to the person. The invention furthermore relates to a method for displaying selected information to a person undertaking exercises. In preferred embodiments, the selection rules are based on Bayesian inference.

A measuring device for use in measuring calorie consumption includes a pulse input unit which detects a first heart rate of the user at a first point in an exercise period and a second heart rate of the user at a second point of the exercise period other than the first point, the pulse input unit not detecting a third heart rate between the first and second heart rates; and a controller which receives the detected first and second heart rates and calculates calories consumed using the detected first heart rate, the detected second heart rate, an at rest heart rate of the user, and one or more of an age of the user, gender of the user, weight of the user, height of the user, and an at rest heart rate of the user. The measuring device is usable in a portable device, such as a portable digital audio and/or video reproducing apparatus.

A generalized framework is disclosed in which a wide variety of propagation models can be cast in a matrix-based format using arbitrary matrix coefficients (e.g., real numbers, integers, etc.). Casting propagation models in the matrix-based framework enables efficient computer implementation and calculation, ease of tuning, admissibility (i.e., the tuned parameters of a linear matrix model are guaranteed to be the global optimum), and aggregating multiple propagation models into a single matrix-based model. Matrix-based propagation models based on transmitter-receiver azimuth orientation, transmitter antenna height, terrain elevation, and clutter are also disclosed. The propagation models can be used in conjunction with automated data acquisition from information sources such as topographic maps, clutter maps, etc.

The invention provides a computing unloading scheduling method based on depth reinforcement learning, which provides a method for computing unloading to make unloading decision for Internet of Thingsequipment, including making decisions on various aspects needing to be unloaded according to the basic model of computing unloading. Based on different optimization objectives, different optimizationobjectives can be achieved by changing the value function. TheDeep-SARSA algorithm is similar to DQN algorithm, which combines reinforcement learning and depth learning. It can effectively change theunloading state and unloading action into training samples of depth learning when cooperating with experience pool. The invention can effectively carry out machine learning on an unloading state modelof an unlimited dimension, reducing the complexity of learning, this method uses neural network as the linear approximator of Q value, which can effectively improve the training speed and reduce thesample required for training. This method can effectively make the best decision through deep reinforcement learning under the given model and optimization objective.