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6464 results about "Multiple target" patented technology

Tissue-specific and pathogen-specific toxic agents and ribozymes

InactiveUS6271359B1Rapidly and effectively expressedImprove stabilityVirusesSugar derivativesCancer cellBiology
The present invention relates to the discovery, identification and characterization of toxic agents which are lethal to pathogens and methods for targeting such toxic agents to a pathogen or pathogen infected cells in order to treat and/or eradicate the infection. In particular, the present invention relates to toxic agents which target bacteria at different stages of the bacterial life cycle, which are delivered alone or in combination to bacteria or bacteria-infected cells. The invention relates to toxic agents which are lethal to diseased cells and methods for targeting such toxic agents to a diseased cell in order to treat and/or eradicate the disease. The present invention relates to promoter elements which are pathogen-specific or tissue-specific and the use of such promoter elements to achieve pathogen-specific or tissue-specific expression of the toxic agent(s) and/or ribozyme(s) of the present invention. Specifically, the invention relates to the delivery of one or more toxic gene products, antisense RNAs, or ribozymes, or combination thereof. The invention provides a novel system by which multiple pathogenic targets may be simultaneously targeted to cause the death of a pathogen, or cell infected with a pathogen. Further, the invention has important implications in the eradication of drug-resistant bacterium and bacterial pathogens. The invention provides a novel system by which multiple targets may be simultaneously targeted to cause the death of a diseased cell. The invention also has important implications in the eradication of drug-resistant pathogens and drug-resistant diseased cells (such as cancer cells).
Owner:MUSC FOUND FOR RES DEV +1

3-D imaging multiple target laser radar

A three dimensional imaging device is presented which uses a single pulse from a pulsed light source to detect objects which are obscured by camouflage, fog or smoke but otherwise enveloped by a light-transmitting medium. The device simultaneously operates in two modes, light reflected from the nearest object is processed to form a three-dimensional image by an array of pixels. This first image is based upon the light-pulse transit time recorded in each pixel. Each pixel also contains a high-speed analog memory that sequentially stores reflected signals at a repeated time interval. The first reflection acts as a time base that controls when the analog memory begins or ends the storage sequence. The first return could be from a camouflage net and the amplitudes of the return signals, after the first return, would then be from objects behind the net. Computer processing these amplitudes reveals the three-dimensional nature of the obscured objects.The device consists of the pulsed light source, optics for collecting the reflected light, a sensor for detecting the light and converting it to electrical data, drive and output electronics for timing and signal conditioning of data generated by the sensors and a computer for processing the sensor data and converting it to a three dimensional image. The sensor collects and processes the light data in a unique manner, first converting it to electricity by a number of alternate detector technologies and then using integrated circuit chips which consist of a two dimensional array of electronic pixels also called unit cells. The two dimensional array defines two dimensions of the image. Stored within each unit cells is data associated with the third dimension, ranges of targets, and amplitudes of target reflections. This data is read out of the integrated circuit chip in the time interval between laser pulses to a processing computer. The processing computer corrects the data and, by means of computer algorithms specific to the device, converts the data to a three-dimensional image of one or more targets. This image may be viewed or processed electronically to isolate targets.
Owner:CONTINENTAL AUTONOMOUS MOBILITY US LLC

Moving object detecting and tracing method in complex scene

The present invention discloses method for moving target detection and tracking in a complex scene. The method comprises two steps of multiple moving target detection and multiple moving target tracking: in the multiple moving target detection, a background model based on self adapting nonparametric kernel density estimation is established with the aim at the monitoring of the complex scene, therefore the disturbance of the movement of tiny objects can be effectively suppressed, the target shadow is eliminated, and the multiple moving target is detected; in the multiple moving target tracking, the target model is established, the moving state of the target is confirmed through ''matching matrix'', and corresponding tracking strategy is adopted according to the different movement condition of the target. Target information is ''recovered'' through the probabilistic reasoning method, and the target screening degree of the target is analyzed with the aim at the problem that multiple targets screen mutually. The algorithm of the present invention can well realize the moving target tracking, obtains the trace of the moving target, and has good real time and ability of adapting to the environmental variation. The present invention has wide application range and high accuracy, therefore being a core method for intelligent vision monitoring with versatility.
Owner:HUNAN UNIV

Network Architecture

A system and method for self-organizing, reliable, multiple path data flow transmission of messages data on a network uses queues to transmit messages between end-user modules (EUMs) on nodes on the network. The EUMs include the end user applications with which queues are associated. A network communications manager (NCM) resident on every node manages all transmission of messages between nodes. The NCM on a given node only has knowledge of nodes that are neighbor nodes to that given node, but has knowledge of all queues associated with all EUMs. Messages are divided into EUM messages, which are placed in queues by the NCM on each node, and system messages, which are not placed in queues but are used by the NCM to determine when and where, i.e. to which neighbor node, messages may be sent. The NCM on each node chooses a neighbor node as a target node for sending EUM messages for each queue, based on the best node latency and at capacity status of each neighbor node. These target nodes are used to provide potential routes to queues and multiple path data flow for queues that carry EUM data messages for user applications. These target nodes are constantly updated to provide the best paths on an adaptive basis and to ensure that all paths are valid, improving network reliability. When choosing when to send data to a target node, each node uses tokens for flow control to ensure that target nodes do not become overloaded. The node also compares node latencies for multiple target nodes to ensure that the lowest node latency target node is chosen. By using neighbor nodes as target nodes, node latency, and at capacity information for determining when and where to send data, there is no need to maintain any global knowledge of all paths in the network. Further, the constant updating of target nodes ensures that the network maintains optimal and valid paths for messages, thus ensuring efficiency and reliability. Finally, the constant updating of target nodes ensures that reliability and efficiency are provided on an adaptive, self-organizing basis.
Owner:DAVIES CHRISTOPHER MICHAEL

An intelligent vehicle passable area detection method based on multi-source information fusion

The invention discloses an intelligent vehicle passable area detection method based on multi-source information fusion, and the method comprises the steps: S100, collecting obstacle target informationaround a vehicle detected by a vehicle-mounted sensor, and outputting a static obstacle target library; S200, receiving obstacle target information around the vehicle, carrying out time-space synchronization on the obstacle target information detected by the vehicle-mounted sensor, carrying out single-frame target fusion on all detected obstacle information around the vehicle, carrying out continuous inter-frame multi-target tracking by utilizing motion prediction and multi-frame target association, and outputting a dynamic obstacle target library; And S300, receiving the static obstacle target library and the dynamic obstacle target library output in the step S200, and updating the dynamic obstacle target library according to the information of the static obstacle target library to formreal-time obstacle target information and generate a passable area. The position, scale, category and motion information of the obstacle around the vehicle and the binarization rasterized map can be accurately obtained in the vehicle driving process, the motion track of multiple targets is tracked, and the intelligent vehicle passable area including the binarization rasterized map and dynamic obstacle information real-time updating is formed.
Owner:TSINGHUA UNIV

Control processing method and system based on multiple accounts and multiple target devices

The invention discloses a control processing method and system based on multiple accounts and multiple target devices. The method includes the steps that an intelligent terminal requests a sever to establish an administrator account through the MAC address of the intelligent terminal, the server end automatically generates the administrator account corresponding to the MAC address of the intelligent terminal according to the request, and a plurality of ordinary accounts used for logging on for browsing by different users are established through distribution of the administrator account; the intelligent terminal of the administrator account is logged on, resource sharing two-dimension codes of the intelligent with resource sharing are scanned, and the two-dimension codes are bound to the intelligent terminal with resource sharing to share resources; an intelligent terminal bound to the intelligent with resource sharing for the first time is set to have the authority of a super administrator so that resource sharing between the intelligent terminal and other intelligent terminals can be controlled. Through the control processing method and system, different programs can be recommended through different accounts, convenience is provided for the users, resources can be shared by different devices, operation is safer, and safety is improved.
Owner:SHENZHEN COOCAA NETWORK TECH CO LTD

Automotive anti-collision radar multi-target detecting method and system

The invention provides an automotive anti-collision radar multi-target detecting method and system. The method comprises the steps of emitting two types of triangular waves with different modulation periods in an alternating mode and acquiring echo data, carrying out windowing processing, carrying out distance dimension FFT and speed dimension FFT, carrying out modulo processing to obtain frequency spectrum of two types of echo waves, carrying out target paring to obtain a spectral line of the same target of the two echo waves, calculating distance and speed of each target, and judging target distance and speed obtained by the two echo waves through a tolerance function to obtain a final target. A radio frequency emitting and receiving part of the system comprises a radar sensor and an intermediate frequency processing module, and a data processing part comprises a modulus, a modulus converting module and a central control processing module FPGA. The FPGA comprises a modulation signal producing sub-module, an echo wave signal acquisition sub-module, an algorithm sub-module and a control sub-module. The modulation waves and corresponding algorithms effectively remove false targets and improve accuracy that multiple moving targets are detected under strong noise. A hardware system is simplified in structure and easy to achieve.
Owner:GUILIN UNIV OF ELECTRONIC TECH
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