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2878 results about "Time processing" patented technology

Processing time - the time it takes to complete a prescribed procedure; "they increased output by decreasing processing time" interval, time interval - a definite length of time marked off by two instants

Space-time processing for multiple-input, multiple-output, wireless systems

In a MIMO system the signals transmitted from the various antennas are processed so as to improve the ability of the receiver to extract them from the received signal even in the face of some correlation. More specifically the number of bit streams that is transmitted simultaneously is adjusted, e.g., reduced, depending on the level of correlation, while multiple versions of each bit stream, variously weighted, are transmitted simultaneously. The variously weighted versions are combined to produced one combined weighted signal. The receiver processes the received signals in the same manner as it would have had all the signals reaching the receive antennas been uncorrelated. The weight vectors may be determined by the forward channel transmitter using the channel properties of the forward link which are made known to the transmitter of the forward link by being transmitted from the receiver of the forward link by the transmitter of the reverse link or the weight vectors may be determined by the forward channel transmitter using the channel properties of the forward link and the determined weight vectors are made known to the transmitter of the forward link by being transmitted from the receiver of the forward link by the transmitter of the reverse link. The channel properties used to determine the weight vectors may include the channel response from the transmitter to the receiver and the covariance matrix of noise and interference measured at the receiver.
Owner:ALCATEL-LUCENT USA INC

Modular parallel-pipelined vision system for real-time video processing

A real-time modular video processing system (VPS) which can be scaled smoothly from relatively small systems with modest amounts of hardware to very large, very powerful systems with significantly more hardware. The modular video processing system includes a processing module containing at least one general purpose microprocessor which controls hardware and software operation of the video processing system using control data and which also facilitates communications with external devices. One or more video processing modules are also provided, each containing parallel pipelined video hardware which is programmable by the control data to provide different video processing operations on an input stream of video data. Each video processing module also contains one or more connections for accepting one or more daughterboards which each perform a particular image processing task. A global video bus routes video data between the processing module and each video processing module and between respective processing modules, while a global control bus provides the control data to / from the processing module from / to the video processing modules separate from the video data on the global video bus. A hardware control library loaded on the processing module provides an application programming interface including high level C-callable functions which allow programming of the video hardware as components are added and subtracted from the video processing system for different applications.
Owner:SARNOFF CORP

System and method for significant dust detection and enhancement of dust images over land and ocean

A new processing capability for dust enhancement over land or water using image data from the Sea-viewing Wide Field of View Sensor (SeaWiFS) has been developed for Naval meteorology / oceanography (MetOc) operations support. The data are captured via direct broadcast high-resolution picture transmission (HRPT) at Navy Regional Centers in Rota, Bahrain, and Yokosuka, and processed at the Naval Research Laboratory in Monterey. The raw data are calibrated, corrected for missing lines and clutter, corrected for molecular scatter contamination, and enhanced through multispectral combination to yield value added products. The processing has been automated completely such that products, generated upon receipt of data, are hosted upon a password protected website typically 60 to 90 minutes from time of initial capture. This invention summarizes the SeaWiFS instrument capabilities, the protocol followed for automated near real-time processing, a physical basis for the NRL enhancements, and specific examples of the products with extension to over-land dust enhancement as enabled by MODIS. It closes with a glimpse of the potential utility of these products from the perspective of the warfighter.
Owner:THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE NAVY

Threat early warning and monitoring system and method based on big data analysis and deployment architecture

ActiveCN107196910ARealize acquisitionRealize multi-dimensional graphical and intuitive displayData switching networksFull text searchTime processing
The invention discloses a threat early warning and monitoring system and method based on big data analysis and a deployment architecture. The system comprises a data acquisition system module, which is used for carrying out real-time data acquisition on original network traffic; a data storage system module, which is used for carrying out data merging and data cleaning on the data collected by the data acquisition system module, and then, carrying out storage management; a real-time threat intelligent analysis system module, which is used for carrying out deep analysis and mining on security data through data mining, text analysis, traffic analysis, full-text search engine and real-time processing, and identifying unknown security threats in real time by combining an intrusion detection module, a network abnormal behavior module and a device abnormal behavior module; and a situation awareness display system module, which is used for carrying out comprehensive display on security threat situations stereoscopically in real time through a data visualization tool library. The threat early warning and monitoring system and method based on big data analysis and the deployment architecture are used for network security threat situation awareness and deep analysis under a plurality of service scenarios, and realize comprehensive abilities from attack early warning, attack identification to analysis and evidence obtaining.
Owner:ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +2

Iris image-based recognition system

The present invention is to identify an individual from his or her iris captured from an imaging system. Basically the system can be divided into two processes, which are enrollment and verification. Each process consists of four steps. Both processes share the three beginning steps, which are image acquisition, image processing, and feature extraction. Image acquisition is to capture the real iris image of a user. Then image processing is applied to the acquired image. In the next step, the textural information of an iris image is generated into a signature in a process called feature extraction. For an enrollment process, the extracted iris signature will be stored in database for the future use of verification. In a verification process, the last step is to compare the iris signature generated from real time processing with the signatures previously stored. A final decision will be made to determine whether the user is successfully identified or not. The present invention introduces two new methods in the iris recognition algorithm. First, a new method called maximum vote finding method that is used during iris image processing was developed to reduce the time required for localization of inner iris after applying Hough Transform for localization of outer iris. Second, an iris signature based on fractal dimension characterization which is a novel approach used in iris feature extraction process was developed to provide satisfactory matching accuracy of iris images.
Owner:UNIVERSITI TELEKOM

Dynamic bidirectional green wave band intelligent coordination control method for urban traffic trunk line

The invention discloses an intelligent coordination control method of a dynamic bi-directional green wave band for an urban traffic trunk road. The method comprises the steps of starting, processing coordination parameters, processing intersection parameters, processing time and processing cycle, etc. The method adopts a double-stage control structure, namely, a control layer of a traffic control center server and a control layer of an intersection intelligent signal controlling machine, through the information interaction and the coordination of the traffic control center server and the intersection intelligent signal controlling machine, phase sequence is optimized in an on-line manner; and common period, highway section upper phase difference, highway section down phase difference, the starting time of an upper coordination phase, the starting time of a down coordination phase, green ratio at each intersection and other key control parameters are optimized and calculated on a real-time basis. The intelligent coordination control method gets rid of the limit of equal intersection intervals required for the coordination control of the green wave band for the urban traffic trunk road, and realizes the unceasing travel of bi-directional traffic flows on the main road by applying the traffic engineering technique, the artificial intelligence technique and the automatic control technique, thereby reducing the parking rate while the traffic capacity of the trunk road is improved, and obviously reducing the traveling time.
Owner:ZHEJIANG UNIV

Smart video monitoring system based on cloud platform

The invention relates to a smart video monitoring system based on a cloud platform, and belongs to the technical field of remote smart monitoring. The system is characterized in that a video monitoring cloud platform is developed on a server cluster established on the basis of a Hadoop cloud computing platform, and video data acquired by front-end equipment are transmitted to a server in a stream way; through adoption of a massive distributed cloud computing technology, real-time tracking, processing, analysis and outputting of video streams are realized; and a service is provided externally, so that a terminal user can perform checking and calling conveniently. In the system, the characteristics of distributed high-concurrence access storage, high availability, rapid response, easiness in management and maintenance and the like are integrated. Video acquisition, video encoding and transcoding, video data storage, a streaming media distributed server and a client are all distributed on a physical host node in an access network. Compared with a conventional video monitoring system, the smart video monitoring system has the advantages that video real-time processing and transcoding efficiency and video data storage capacity are increased greatly; the requirement of people on the video monitoring system in a big data era is met; and a relatively large commercial value is achieved.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
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