382 results about "Real-time testing" patented technology

A scanning system that acquires three-dimensional images as an incremental series of fitted three-dimensional data sets is improved by testing for successful incremental fits in real time and providing a variety of visual user cues and process modifications depending upon the relationship of newly acquired data to previously acquired data. The system may be used to aid in error-free completion of three-dimensional scans. The methods and systems described herein may also usefully be employed to scan complex surfaces including occluded or obstructed surfaces by maintaining a continuous three-dimensional scan across separated subsections of the surface. In one useful dentistry application, a full three-dimensional surface scan may be obtained for two dental arches in occlusion.

A real time decisioning service comprising a set of powerful tools accessible in ASP mode allowing an end user to create, configure, test, and deploy decision engines to automate real time decisions, comprising both expert and custom analytic models used within decision strategies, and comprising systems integration and strategy consulting is provided. An exemplary decision system is described.

This invention puts forward a method and a system for real time testing and continuous tracking of man-face in a video sequence including the following steps: carrying out a test algorithm to a man-face input video image, then applying a rough and fine two stages of test algorithm to verify the tested face, applying an object following algorithm to follow the verified one and verifying it by verifying the followed regions, which realizes a real time test to a positive and vertical man-face by a test method based on AdaBoost statistic hierarchical sorter and Mean shift and a square pattern property.

A device and method for non-invasive real-time testing of blood sugar levels in a diabetic patient. Specifically, this invention is directed to an optical device comprising a contact lens having a glucose-sensing optical pattern imprinted, marked, coated or otherwise disposed on or incorporated within the contact lens. The indicator pattern is further comprised of a glucose-sensing coating containing a boronic acid derivative, which reacts in the presence of glucose to create a readable pattern, which can then be correlated to a pre-determined or pre-calibrated blood glucose level. A polarized light source is one method that may be used to read the indicator pattern. The invention is also directed to methods for quantifying blood glucose levels using the inventive optical device and manufacturing methods for disposing the glucose-sensing coating onto, or incorporating it into, the contact lens material.

A solution providing for the dynamic design, use, and modification of models using a declarative software application meta-model that provides for self-modification of a collection of the models is provided. The solution can enable continuous real-time testing, simulation, deployment, and modification of the collection of the models. A model in the collection of the models can represent an entity or a function and can be included in a set of related models. Additionally, a set of related models can include a plurality of sets of related models. The collection of the models can represent, for example, one or more software applications, processes, and/or the like.

A system and apparatus generates trading algorithms as data feeds. These data feeds are derived from market data feeds from electronic trading platforms. Functions of invention include the generation of the feeds as market microstructure analytics, trading algorithm building blocks, market behavior and risk estimates that are synchronized with underlying market data feeds. The invention incorporates utilities for agent-driven simulation of multiple electronic markets, and real-time testing and calibration of trading strategies. By delivering critical market dynamics that have not been available so far to market participants, the invention is projected to cut the cost of designing, implementing, and validating trading strategies while also increasing trading performance significantly. The invention will have an equalizing effect on trading by enabling retail investors to remain competitive with high speed traders. This equalizing effect will complement many trading platforms' initiatives for attracting retail flow to enhance their trading volumes and liquidity quality.

A method and system for simulating computer networks and computer network components to test computer network security is disclosed. A user specifies a desired configuration of a simulated computer network by using a configuration manager. The user also defines all the network components within the simulated computer network by specifying whether a component should be provided in hardware or should be simulated via software. Upon receiving the above-mentioned information from the user, the configuration manager acquires the required hardware resources from a hardware inventory. The configuration manager utilizes an interface switch that connects the hardware in the hardware inventory to produce the desired network layout. Next, the specified configuration for each of the network components is pushed into the acquired hardware resources. Computer network components to be simulated with software are subsequently initialized by the configuration manager. At this point, the user can use the simulated computer network for real-time testing of network security.

A high speed detection system and method capable of generating audits of investigable patterns from log data using techniques for grouping and filtering the data so as to create vectors of patterns which can be then further analyzed by applying conditional filters to conclude that a threat may be active has been created to solve at least the above discussed problems.

An impact sensing and tracking system helps detect concussion risks using a computerized evaluation combined with traditional methods. The system includes impact sensors, a application and a centralized database with a webpage browser interface. Impact sensors are worn on athletes' heads, helmet or other headwear and measure impacts that athletes receive while playing sports. The mobile application includes a real-time test and alert system which assists play-side help detect concussion symptoms, provides medical care notices and reports test results to the database for tracking and analysis. The impact data for each athlete is stored in the database along with tests that have been administered through the application. The system reviews, analyzes and compares impact data to standardized concussion data and stores it as a comprehensive, long-term diagnostic study on diagnosed concussions in athletes that the system uses to evaluate impact severities and concussion risks in specific situations.

The invention relates to a speed and relative position real time measuring system and method for the vehicles on highway. The system contains passive response device that contains unique radio frequency identification code that could show the location of itself, reader that is set on vehicle to send active signal and receive radio frequency information and take data exchange with server through wireless communication network, server that receives the radio frequency and takes analysis and process to gain the real time information and sends back to reader. The method also relates to the method to test the speed and relative position on highway by the device. It has the advantages of high accuracy and low cost, and needs not to be maintained.

Systems and methods are provided for training and monitoring administration of an inhaler medication. The system includes a mobile computing device that is configured to provide an augmented reality training and monitoring aid for asthma patients. In particular, the mobile device is programmed to capture video using a camera and sound recordings using a microphone in order to measure the patient's head position from the video and measure events relating to inhalation and exhalation from the microphone recordings. This real-time data is used to provide real-time testing and monitoring of the patient's technique for using an inhaler and an augmented reality training aid that informs the patients training. In addition, the mobile device is configured to collect background information from the patient relating to the patient's control over his or her asthma and can also interface with a back-end computing system for storing and maintaining related information.

The invention provides a method for detecting application server performance. The method comprises the following steps: real-time testing data of each performance index of an application server is obtained; a health index of the application server is calculated according to the real-time testing data of each performance index and preset weight; a real-time performance state of the application server is determined according to the health index; and corresponding processing is conducted to the application server according to the real-time performance state of the application server. The processing comprises that when the real-time performance state of the application server is outside a preset normal range, alarm information is generated. The invention further provides a system for detecting the application server performance. According to the method and the system for detecting the application server performance, accuracy and efficiency of performance detection are high.

The invention relates to a novel shale gas content tester and a shale gas content detecting method. The novel shale gas content tester comprises a device, a real-time testing system, a system and a computer collecting and processing system, wherein the device is used for desorbing a sample at a constant temperature; the real-time testing system is used for testing pressure and temperature of the sample in the desorbing process; the system is used for detecting the volume of a sample desorbing space; through a pipeline, the device for desorbing the sample at the constant temperature is connected with the real-time testing system for testing the pressure and the temperature of the sample in the desorbing process; through a pipeline, the real-time testing system for testing the pressure and the temperature of the sample in the desorbing process is connected with the system for detecting the volume of the sample desorbing space; and the real-time testing system for testing the pressure and the temperature of the sample in the desorbing process and the system for detecting the volume of the sample desorbing space are connected with the computer collecting and processing system through data wires. According to the invention, the sample is placed in the constant temperature desorbing and detecting system to detect desorption, the problem that the measurement of desorbed gas is affected because the gas of a free space can be changed with temperature and pressure conditions of a testing environment is solved.

The invention discloses a digital signal down-conversion processing system based on an MIMO real-time testing platform, pertaining to the technical field of digital signal processing. The system comprises four DDC modules and each DDC module consists of four independent digital signal down-conversion processing channels. Each channel consists of an analog-to-digital converter, a digital quarter mixer and a digital decimation filter set. The digital quarter mixer consists of a digital controlled oscillator and two paths of multipliers, and the digital controlled oscillator is respectively connected with the two multipliers; the digital decimation filter set consists of two groups of filters with complete same parameters and each filter group respectively comprises a CIC decimation filter, a CFIR compensation filter and a PFIR matched filter which are connected in sequence. The system has good expansibility and modularization and can meet the requirements of real-time and high-speed performance.

An apparatus and method for improving the performance of an Internet website includes a performance processor that identifies a plurality of critical performance factors that facilitate improved website performance and then tests in real time, by utilization of an application programming interface, the influence of individual ones of said plurality of performance factors by application of a fractional factorial design.

A system and methods providing the automated configuration management and configuration information communication/deployment for a business process server computing application operating in a distributed computing environment is provided. In an illustrative implementation, a configuration management and configuration information communication/deployment tool operating in a distributed computing environment allows cooperating parties cooperating to operate a business process server computing application to more easily and efficiently update the configuration information of one or components of the business process server computing application responsive to changes in business practice changes between the cooperating parties. In the contemplated implementation, packages are requested by the cooperating parties using the configuration tool. The packages contain information indicative of desired business practice changes and the information required to reconfigure the business application to accommodate such changes. The tool allows for closed loop and real-time testing of the configuration changes.

The invention discloses a data flow online abnormity detection method based on integrated learning, and relates to the technical field of data processing. According to the method, firstly, a Bagging integrated learning framework is applied, a stable LSTM prediction model is obtained through multiple times of iterative training of an LSTM model, and normal-complex scene data flow is achieved; the depth of the abnormal sample is identified; Meanwhile, a payload data flow is used as input; On one hand, real-time test data is provided for a stable LSTM model; secondly, a Bagging integrated learning framework is applied, a plurality of weak learners are integrated to obtain strong learners, a learning device based on a Stacking algorithm is established, an optimal detection result is obtained by combining output results of the weak learners, and the accuracy of data flow online abnormity detection is improved; And an abnormal detection result with better precision is obtained, and the falsealarm rate and the missing alarm rate are reduced. The problem that a traditional anomaly detection method cannot accurately mine the potential anomaly of the effective load in the complex space is solved.