235 results about "Multidimensional scaling" patented technology

Accurate simulation of sport to quantify and train performance constructs by employing sensing electronics for determining, in essentially real time, the player's three dimensional positional changes in three or more degrees of freedom (three dimensions); and computer controlled sport specific cuing that evokes or prompts sport specific responses from the player that are measured to provide meaningful indicia of performance. The sport specific cuing is characterized as a virtual opponent that is responsive to, and interactive with, the player in real time. The virtual opponent continually delivers and / or responds to stimuli to create realistic movement challenges for the player.

Accurate simulation of sport to quantify and train performance constructs by employing sensing electronics for determining, in essentially real time, the player's three dimensional positional changes in three or more degrees of freedom (three dimensions); and computer controlled sport specific cuing that evokes or prompts sport specific responses from the player that are measured to provide meaningful indicia of performance. The sport specific cuing is characterized as a virtual opponent that is responsive to, and interactive with, the player in real time. The virtual opponent continually delivers and / or responds to stimuli to create realistic movement challenges for the player.

Accurate simulation of sport to quantify and train performance constructs by employing sensing electronics for determining, in essentially real time, the player's three dimensional positional changes in three or more degrees of freedom (three dimensions); and computer controlled sport specific cuing that evokes or prompts sport specific responses from the player that are measured to provide meaningful indicia of performance. The sport specific cuing is characterized as a virtual opponent that is responsive to, and interactive with, the player in real time. The virtual opponent continually delivers and / or responds to stimuli to create realistic movement challenges for the player.

A method is provided for selecting a replication node from eligible nodes in a network. A multidimensional model is constructed that defines a multidimensional space and includes the eligible nodes, with each of the dimensions of the multidimensional model being a system characteristic. A data availability value is determined for each of the eligible nodes, and a cost of deploying is determined for each of at least two availability strategies to the eligible nodes. At least one of the eligible nodes is selected for replication of data that is stored on a source node in the network. The selecting step includes selecting the eligible node whose: data availability value is determined to be highest among the eligible nodes whose cost of deploying does not exceed a specified maximum, or cost of deploying is determined to be lowest among the eligible nodes whose data availability value does not exceed a specified minimum.

A processor includes a "four-dimensional" register structure in which register file structures are replicated by N for vertical threading in combination with a three-dimensional storage circuit. The multi-dimensional storage is formed by constructing a storage, such as a register file or memory, as a plurality of two-dimensional storage planes.

The disclosed embodiments provide a system that facilitates the deployment and execution of a software offering. During operation, the system obtains a service definition of the software offering and a resource definition of resources available for use by the software offering. Next, the system creates a multidimensional model of the software offering by mapping a first set of elements from the service definition to a second set of elements from the resource definition. Finally, the system uses the multidimensional model to manage the deployment and execution of the software offering without requiring manual configuration of the resources by a user.

A computerized method is established to detect suspicious and fraudulent activities in a group of subjects by defining and dynamically integrating multidimensional risks, which are based on the characteristics of the subjects, into a mathematical model to produce a set of the most up-to-date representative risk values for each subject based on its activities and background. These multidimensional risk definitions and representative risk values are used to select a subset of multidimensional risk-weighted detection algorithms so that suspicious or fraudulent activities in the group of subjects can be effectively detected with higher resolution and accuracy. A priority sequence, which is based on the set of detection algorithms that detect the subject and the representative risk values of the detected subject, is produced to determine the priority of each detected case during the investigation process. To assist the user to make a more objective decision, any set of multidimensional risks can be used to identify a group of subjects that contain this set of multidimensional risks so that group statistics can be obtained for comparison and other analytical purposes. Furthermore, to fine-tune the system for future detections and analyses, the detection results are used as the feedback to adjust the definitions of the multidimensional risks and their values, the mathematical model, and the multidimensional risk-weighted detection algorithms.

The present invention provides a method and system for positioning one or more anchor nodes or one or more non-anchor nodes in one or more communication networks. A non-anchor node may be in communication with two or more anchor nodes. The method comprises determining two or more distance measurements, corresponding to raw distances of the non-anchor node from the two or more anchor nodes, at predetermined intervals of time. An estimated distance is then calculated between the two or more anchor nodes based on the two or more distance measurements. Estimated distances between a plurality of anchor nodes in the one or more communication networks is calculated in a similar manner. A partial distance matrix is then populated using the estimated distance between the plurality of anchor nodes. A plurality of geographic coordinates of the plurality of anchor nodes is reconstructed based on the partial distance matrix. The plurality of geographic coordinates is reconstructed based on one or more of a geometric build-up algorithm, a shortest-path algorithm and a multidimensional scaling algorithm.

The present invention provides systems and methods that measure and analyze a user's movement during a specific activity, then provide immediate, focused feedback as to how the user can modify the movement.

A method for optimally selecting a subset of decisions from a first plurality of decisions related to management of a chaotic event. The first plurality of decisions related to the chaotic event is received. A heuristic algorithm is used to eliminate a first subset of decisions. The first subset of decisions is in the first plurality of decisions. A second plurality of decisions is formed. The second plurality of decisions comprises the first plurality of decisions less the first subset of decisions. A mathematical optimization algorithm is then used to select a second subset of decisions. The second subset of decisions is within the second plurality of decisions. The mathematical optimization algorithm takes as input at least one constraint and chaotic event information. The second subset of decisions is stored.

A method, system, and computer product is presented for mapping a set of patterns into an m-dimensional space so as to preserve relationships that may exist between these patterns. A subset of the input patterns is chosen and mapped into the m-dimensional space using an iterative nonlinear mapping process based on subset refinements. A set of n attributes are determined for each pattern, and one or more neural networks or other supervised machine learning techniques are then trained in accordance with the mapping produced by the iterative process. Additional input patterns not in the subset are mapped into the m-dimensional space by determining their n input attributes and using the neural networks in a feed-forward (prediction) mode.

Systems and methods for transmitting data, including encoding one or more streams of input data using one or more adaptive Low Density Parity Check (LDPC) encoders, wherein the encoders generate one or more signal constellations; modulate one or more signals using hybrid multidimensional coded modulation; apply orthogonal prolate spheroidal wave functions as electrical basis functions; generate one or more spectral band group signals by selecting and combining two or more spectral band groups with center frequencies that are orthogonal to each other; and spectral-mode-multiplex and transmit the one or more adaptive LDPC-coded data streams including the one or more spectral band group signals combined into corresponding spatial modes over a transmission medium.

A method of multidimensional modeling a magnetic resonance device (MRD) contrast agent introduced within the body of a patient. The method includes: introducing into the patient body or an organ an effective measure of at least one MRD contrast agent; imaging the MRD contrast agent located at least a portion of a body and providing data defining a multidimensional image; loading or otherwise streaming the MRD image to a multidimensional printer; and multidimensionally modeling the MRD contrast agent.

Disclosed herein is a method for deriving node localization information within communication networks having a plurality of nodes, which are separated by node paths. The method includes estimating the shortest path between multiple pairs of nodes in the network and constructing a matrix encompassing the estimated shortest paths. Multidimensional scaling is then applied to the matrix and the largest eigenvectors of the transformed matrix are identified. From this is constructed a relative map of the location of the pairs of nodes within the network by utilization of the eigenvectors.

The present invention relates to a shortest path-based automatic positioning method of sensor network nodes on the sparse measurement set, and belongs to the technical field of automatic positioning of the wireless sensor network. The positioning method is characterized by orderly comprising node distribution, route establishment, data transmission, network connection information extraction, relative coordinate positioning of the node, absolute coordinate transformation, outward transmission of results by a computer, and so on; wherein, when the relative coordinates of the node are positioned relative to the adjacent node, a detection method of radio frequency is used for measuring the distance between the nodes; for the non-adjacent node, the distance of Freud shortest-path is used for estimating the distance between the nodes, thus the shortest-path distance matrix which comprises the adjacent node and the non-adjacent node is got; then a method of multi-dimensional scaling analysis can be adopted to acquire the initial value of topological estimation of the node position which is relatively positioned; the similar probability distribution of the unknown distance is calculated; the likelihood function of the complete-distance matrix is then used as an expected objective function for optimization, so as to eliminate the randomness, thus the relative positioning results can be acquired.

The invention relates to a vibration isolation device, in particular to a multi-dimensional vibration isolation device which consists of two Stewart mechanisms with cylinders and an upper platform and a lower platform. The vibration isolation device has six degrees of freedom and can perform multi-dimensional vibration isolation. The Stewart mechanisms consist of a movable platform, a static platform and 6 legs, and the legs of the Stewart mechanisms consist of a spring seat, a spring, a cylinder and a piston from top to bottom as shown in Figure 1. The cylinder is provided with an upper gas outlet and a lower gas outlet. The movable platform is arranged on the upper part of the Stewart mechanisms, and the static platform is arranged on the lower part thereof. The movable platform and the static platform are fixedly connected with the upper plane and the lower plane of the two Stewart mechanisms respectively as shown in Figure 2. The vibration isolation device can be applied to means of transport such as vehicles, ships and the like, and is mainly used for protecting the transported objects such as anti-vibration on a sickbed of an ambulance.

Signals are separated by introducing a function having a monotonously increasing characteristic like an exponential type function as a cost function, and applying an adaptive algorithm that minimizes that cost function in terms of a signal separation matrix. That is, there is provided a signal processing apparatus that separates and outputs an original signal from the observed signal x(t), in which multiple multidimensional signals are mixed, wherein the nonlinear function 21 is operated on an input observed signal x(t) and an estimated separation matrix W(t-1) estimated at a previous cycle. Then, an error signal e(t) is calculated 22 based on y(t) formed by this nonlinear function 21, the estimated separation matrix W(t-1) estimated at the previous cycle, and the observed signal x(t) at that time. Then, based on the calculated error signal e(t), the update of the separation matrix W(t) at that time is performed 23 such that consideration weight is increased when estimation errors are large using the cost function having a monotonously increasing characteristic.

A method and apparatus for displaying information on a display device of limited display area. More specifically, an array of elements is formed on the display where each of the elements represents an attribute and has graphical information indicating the state of the attribute. Further, the position of each element in the array represents its position in a collection of attributes. Each element is also user selectable, so that when the element is selected, further information on the attribute is displayed.

The invention discloses a multidimensional-array-based grouping aggregation calculating method in a column storage database. The multidimensional-array-based grouping aggregation calculating method includes that in the grouping aggregation calculating process, a hash table is divided into a plurality of multidimensional arrays, and each array unit indicates a multidimensional grouping vector; the grouping attributes of output records are mapped to be multidimensional array subscripts; and aggregation attribute values are sent to the corresponding grouping aggregation multidimensional array units for aggregation calculating according to the multidimensional array subscripts of the grouping attributes. By adopting the multidimensional-array-based grouping aggregation calculating method, the multidimensional arrays are adopted to correspond to the grouping attributes by aid of the multidimensional data characteristics of the grouping attributes, and storage expanse and harsh detection expanse of the harsh table are eliminated; and the complex harsh table is changed to be simple arrays, complex grouping aggregation calculating is changed to be simple array subscript accessing, and therefore the method improves the efficiency, adapts to the processing characteristics of multi-core processors and multi-core co-processors and has good platform portability and adaptability.

A method for creating a data warehousing scheme having optimally selected components. A mathematical model of a goal for the data warehousing scheme is input into an optimization engine. At least one constraint on the data warehousing scheme is input into the optimization engine. A mathematical optimization algorithm is performed using the optimization engine, wherein an output of the optimization engine is an optimized data warehousing scheme having optimally selected components. The optimized data warehousing scheme can be stored.

A Self-Designing Intelligent Signal Processing System Capable of Evolutional Learning for Classification / Recognition of One and Multidimensional Signals is described which classifies data by an evolutionary learning environment that develops the features and algorithms that are best suited for the recognition problem under consideration. The System adaptively learns what data need to be extracted in order to recognize the given pattern with the least amount of processing. The System decides what features need to be selected for classification and / or recognition to fit a certain structure that leads to the least amount of processing according to the nature of the given data. The System disclosed herein is capable of recognizing an enormously large number of patterns with a high accuracy.

The invention discloses a multidimensional sense man-machine interaction system and a multidimensional sense man-machine interaction method, which are based on combine interaction modes of head posture control, voice control, keyboard and mouse operation, etc. The system is composed of the following 8 modules: a user information collecting module, a user information identifying and analyzing module, a head posture control functional module, a voice control functional module, a storage module, an interface interaction module, a self-customizing module and a program control module. The method is realized by the following four processes: collecting user information, identifying and analyzing the user information, realizing head posture control or voice control and outputting a user interface. The system and the method disclosed by the invention have the advantages of large application range, good maintainability, good expandability and the like. In addition, the system provides a novel man-machine interaction process method for a computer user, so that the operation efficiency of a common user can be improved, and great help on neck fitness and learning of old people on computers can be realized.

A server configured to profile a mobile device for a cloud-based system, includes a network interface, a data store, and a processor communicatively coupled to one another; and memory storing computer executable instructions, and in response to execution by the processor, the computer-executable instructions cause the processor to, based on communication to a client application on the mobile device, cause the client application to collect data associated with the mobile device; receive the collected data; and determine a device fingerprint and a risk index for the mobile device based on the collected data, wherein the device fingerprint is utilized to uniquely identify the mobile device and the risk index is utilized to manage the mobile device

The invention discloses a multidimensional non-wearable type traffic police gesture identification method and system for driverless vehicles. The method includes the steps of obtaining traffic police gesture four-dimensional data sources from four depth sensors installed on a road crossing, extracting traffic police gesture characteristics with description and differentiability performance, identifying the current traffic police gesture and instruction orientation in combination with a traffic police gesture characteristic dictionary library, transmitting the current geographic position coordinate, the traffic police gesture identification result, the instruction direction to a driverless vehicle on the road crossing, the vehicle parsing the received information and extracting corresponding traffic police instructions on the driving direction, and entering into an automatic response state according to the instructions. The system comprises a traffic police gesture data acquisition apparatus, a traffic police gesture identification apparatus and a driverless vehicle response apparatus. The identification speed is fast, the method and system do not rely on wearable devices, traffic polices are free to command, the influence of the illumination, weather and complex background can be eliminated, and the robustness is good.

One embodiment provides a system that analyzes telemetry data from a monitored system. During operation, the system periodically obtains the telemetry data as a set of telemetry variables from the monitored system and updates a multidimensional real-time distribution of the telemetry data using the obtained telemetry variables. Next, the system analyzes a statistical deviation of the multidimensional real-time distribution from a multidimensional reference distribution for the monitored system using a multivariate sequential probability ratio test (SPRT) and assesses the integrity of the monitored system based on the statistical deviation of the multidimensional real-time distribution. If the assessed integrity falls below a threshold, the system determines a fault in the monitored system corresponding to a source of the statistical deviation.