765results about How to "Automatic detection" patented technology

A system and method are described for automatically detecting calendar events within a free-form email message. For example, a system according to one embodiment of the invention for automatically detecting calendar events within a free-form email message potentially including one or more attachments comprising: a pre-processor to detect one or more keywords within a free-form email message and/or free-form attachments, the keywords indicating whether the free-form email message or free-form attachments contain a calendar event, the pre-processor identifying the free-form email message and/or free-form attachments as potentially containing calendar data upon detecting the one or more keywords; and a natural language processor to further process text from the free-form email message and/or free-form attachments to determine whether the free-form email message and/or free-form attachments contain a calendar event, the natural language processor to parse the email message and/or attachments and evaluate the email message and/or attachments using natural language processing (NLP) techniques to determine the existence of one or more calendar events; and a calendar event generator to extract calendar data from the email message and/or attachments in response to the natural language processor detecting a calendar event, the calendar event generator to update a calendar using the extracted calendar data.

In a medical imaging system and method, an image data acquisition system is operable in a fluoroscopy mode to obtain a fluoroscopic image of a subject and is operable in a CT mode to obtain projection data sets of the subject that are used to reconstruct a three-dimensional image of a region of interest of the subject. For imaging procedures involving the administration of contrast agent to the subject, the image data acquisition apparatus is operated in the fluoroscopy mode at the time the administration of contrast agent is begun, and the filling of vessels with the contrast agent is automatically monitored by fluoroscopy. When the automatic monitoring indicates that an optimal degree of filling of the vessels with the contrast agent has occurred, the image data acquisition apparatus is automatically switched to operate in the CT mode to acquire projection data sets of the region of interest containing the vessels filled with contrast agent.

A text-mining system and method automatically extracts useful information from a large set of tree-structured data by generating successive sets of candidate tree-structured association patterns for comparison with the tree-structured data. The number of times is counted that each of the candidate association patterns matches with a tree in the set of tree-structured data in order to determine which of the candidate association patterns frequently matches with a tree in the data set. Each successive set of candidate association patterns is generated from the frequent association patterns determined from the previous set of candidate association patterns.

A method and apparatus for preventing a Denial of Service attack directed at a target that is hosted on a server. The attack is detected and the IP address of the source client of the attack is identified. The IP address of the source of the attack is then communicated upstream to router devices close to the attacking source and the attacker is prevented from further attacks until it is determined that the attacker poses no threat. The detection of the attack and the communication of the identity of the attacker to upstream routers is performed automatically or by human intervention.

The invention relates to a system and method for detecting parking infractions. It comprises computing one or more measurements associated with a stationary object found at a first location; classifying the stationary object as being representative of a vehicle parked at the first location based on the one or more measurements associated with the stationary object; capturing one or more images of the vehicle parked at the first location; processing the one or more images of the vehicle to extract one or more present vehicle identifiers associated with the vehicle, and recording a time the one or more images were taken, a co-ordinate set associated with the first location and the one or more identifiers associated with the vehicle; determining a time duration for which parking is allowed at the first location; and comparing the present vehicle identifiers with previously recorded vehicle identifiers associated with the first location to determine if the vehicle has been parked at the first location for a period exceeding the time duration.

In order to accurately remove an unnecessary periodic noise component from an image, a reconstruction unit generates a reconstructed image without a periodic noise component by fitting to a face region detected in an image by a face detection unit a mathematical model generated according a method of AAM using a plurality of sample images representing human faces without a periodic noise component. The periodic noise component is extracted by a difference between the face region and the reconstructed image, and a frequency of the noise component is determined. The noise component of the determined frequency is then removed from the image.

Remote control of an operating table which can be motor-adjusted by means of a drive device is provided for. Command signals for controlling the drive device are wirelessly transmitted to the operating table from an operator control unit. A unique association between the operator control unit and an operating table is ensured before command signals are sent by emitting an infrared control signal to the operating table by the operator control unit and then confirming the reception of the control signal from the operator control unit by radio signal from the operating table.

A camera includes an outer cover; a lens barrel which is housed inside the outer cover in the state that a front face of the lens barrel is substantially in flush with a front face portion of the outer cover surrounding the front face of the lens barrel, whereas when the lens barrel is in a photographing-waiting state in which photographing is possible, the front face of the lens barrel is projected from said surrounding front face portion of the outer cover; a lens barrel state selector for selecting either one of setting the lens barrel in the housed state and keeping the lens barrel at a position in the photographing-waiting state, when a power supply of the camera is turned off; and a controller for controlling the camera such that the lens barrel is set in the housed state when the power supply of the camera is turned off in the state that the lens barrel state selector is selecting setting the lens barrel in the housed state, whereas the lens barrel is kept at the position in the photographing-waiting state when the power supply of the camera is turned off in the state that the selector is selecting keeping the lens barrel at the position in the photograph-waiting state.

The invention discloses a method and system for intelligently controlling temperature of concretes of a dam under construction. The system comprises a control device which communicates with a heat exchanging device and a heat exchanging auxiliary device, wherein the heat exchanging device is arranged at inner part or surface of the concrete dam, and is used for exchanging heat with the concrete dam and transmitting collected temperature information of the concrete dam to the control device; the heat exchanging auxiliary device inputs a heat exchanging medium to the heat exchanging device and outputs the medium from the heat exchanging device after the heat exchange; the control device is used for controlling the heat exchanging auxiliary device; and the control device can input a temperature control strategy of each casting bin. By the system and method disclosed by the invention, the temperature of the concrete dam can be detected in real time automatically, individualized temperature control strategies are provided to different casting bins, intelligent learning is performed according to actual conditions on site, and concrete thermal parameters which are the most accurate and realistic are selected for each casting bin, so that the precise control on water flow capacity and/or temperature can be realized, the precision for controlling the concrete dam temperature is high, the data is reliable, labour and water costs can be greatly reduced, and the anti-cracking effect of the dam is good.

Disclosed is a copper sheet and strip surface defect detection method based an on-line sequential extreme learning machine. The method includes the following steps that a copper sheet and strip surface image is captured through an image capturing module; the captured copper sheet and strip surface image is enhanced according to the median filtering method with the masking size of 7*7 to reduce noise in the copper sheet and strip surface image and the effect of the noise on the quality of the surface image; the copper sheet and strip surface image is subject to tophat transform treatment to reduce the effect of uneven illumination; a copper sheet and strip surface image pre-detection method based on eight-neighborhood difference values is adopted; defects in the surface image are segmented according to an image segmentation method, wherein it is judged that the copper sheet and strip surface image has the surface defects after pre-detection; geometrical characteristics, gray characteristics, shape characteristics, texture characteristics and other characteristics of each defect are extracted, and copper sheet and strip surface defect characteristic dimensions are subject to optimization and dimensionality reduction according to the principal component analysis method; a copper sheet and strip surface defect classifier based on the on-line sequential extreme learning machine is designed, and samples are used for training; characteristics of the copper sheet and strip surface image to be detected are extracted to identify types of the surface defects.

Methods are disclosed for the capture, detection, separation, isolation and quantification of contaminants in a starting material. Also disclosed are competitive assay methods for the detection and quantification of contaminants in a starting material. Kits for use with the method are disclosed as well. A system for capturing, separating and/or concentrating contaminants from a material is also presented. The system captures, separates and/or concentrates contaminants such as bacteria, viruses, other microorganisms, and/or larger items, such as insects, from a variety of materials, such as food, and environmental and clinical materials. In general, the system uses a rotating magnetic field to mix the material with magnetic particles to capture the target contaminants, and a fixed magnetic field to separate and concentrate the captured target contaminants.

A RFID tag to be attached to an object to identify the object or a characteristic or feature thereof from data stored in the tag accessible by a RFID reader includes a relatively flat structure having a small aperture antenna positioned on or proximate the tag in the form of a polygon having electrically conductive sides. The flat structure, which may be fabricated as a sticker or label, incorporates a small aperture antenna, such as a slot antenna, in the form of a polygon having electrically conductive sides. The polygon may be triangular, rectangular, square, elliptical, circular, or other polygonal figure depending on number of its plurality of sides. A constitutes the aperture of the antenna. An integrated circuit chip containing the electronics of the tag is secured to the flat structure within the boundary of the aperture constituting the central open portion within the polygon, and substantially equidistant from a pair of opposite sides of the polygon, with a pair of conductive impedance matching elements of substantially equal length confronting each other in the aperture from the opposite sides. Methods of use are disclosed.

Structural health monitoring device with improved reliability and performances that is applied in selected locations on a structure. The structural health monitoring device includes a data acquisition, process and storage media, a direct and independent wireless connection system to a standard and globally interconnected telecom network, is uninterruptedly powered by a power management system featuring at least two battery power sources. The structural health monitoring device further includes sensors specifically intended to remain permanently active and “asynchronously” trigger data acquisition sessions in occurrence of timely unpredictable phenomena having structural relevance and is moreover comprising data processing media for data compression and for automatic detection of possible structural anomalies using a self-training neural data processing algorithm.

A device for measuring the sedimentation rate in biological fluids, and particularly the erythrocyte sedimentation rate in blood samples. The device comprises: holders (3) for test tubes (P) containing samples of biological fluid; agitator devices (25) for agitating the test tubes; at least one detector (17, 19) for reading the levels inside the test tubes. The holders together form a continuous flexible member (1) defining a closed path along which the agitator devices and the detector are arranged.

A method for computer-aided object classification, soft segmentation and layer extraction in computed tomographic colonography includes providing a contrast enhanced computed tomography (CT) digital image of the colon, finding a foreground region of voxels with an intensity higher than a pre-defined foreground threshold, creating a 3D trimap of the colon where the image is segmented into the foreground region, a background region, and an unknown region between the foreground and background, starting from the background, extracting successive layers of the unknown region until the foreground region is reached, and classifying each extracted layer as background or foreground, and generating a foreground matte, a background matte, and an alpha matte, where alpha indicates a mixing ration of foreground and background voxels.

An apparatus and method for automatically detecting a display mode to be used in a serial data interface (SDI) of a decoded video signal is provided. The apparatus for detecting a display mode includes a mode detector which detects a predetermined display mode by counting clock pulses generated between a present horizontal synchronous signal and a next horizontal synchronous signal from input decoded video signals, and a signal processing unit which converts formats of the decoded video signals so as to correspond to a display mode detected by the mode detector, serializes and outputs the decoded video signal. By deleting a control signal indicating a display mode, a control signal that does not coincide with processed data as a result of an incorrectly or incompatibly designed controller can be prevented.

A system and method for consistent authentication and security mechanism to enable a client device to easily roam from one network to another without requiring the client to manually change network configurations is disclosed. In one embodiment, a client device listens for a “beacon frame” broadcast from a Wi-Fi access point. The beacon frame identifies the basic service set identifier (BSSID) of the access point. A tamper-resistant token, or client key, installed at the client device stores a set of authentication parameters, e.g., cryptographic keys, for each Wi-Fi network the client is permitted to access. Each set of authentication parameters is associated with a particular BSSID. Using the BSSID received from the access point, the client device identifies and implements the appropriate set of authentication parameters necessary to authenticate the client device according to an authentication process generally accepted by all the Wi-Fi networks potentially servicing the client.

Disclosed is a system and method for automatically detecting social relationships from consumer image collections. The disclosed systems and methods provide the ability to infer relationships between people thereby creating dynamic social networks from the occurrences of people appearing in digital images. Occurrences of people in pictures can be detected based on known or to be known facial recognition technology. These inferences enable relationship determinations regarding whether the people are family members, friends, acquaintances or merely strangers who happen to be in the same place at the same time. The disclosed detection of such relationships enables the building of intelligent image management systems. Furthermore, based on the detected social relationships, advertisements can be served not solely to a single person, but to multiple people within the scope of the social relationship

The invention discloses a traffic signal lamp control method based on a deep convolution neural network. The system hardware comprises a dead-corner-free omni-directional vision sensor used for getting a panoramic video image of a whole intersection, a computer used for segmenting the video image, analyzing the state of traffic congestion in a key place using a deep convolution neural network, and sending a processing result and a control command to a signal lamp controller, and the signal lamp controller used for receiving the control command of the computer and controlling the signal lamps at the intersection. Through the method, violation of the traffic rules 'green for go and red for stop' under traffic congestion at intersections is solved effectively, the occurrence of large-area traffic congestion caused by running the green lamp is prevented effectively, and the difficulty and intensity of law enforcement by the traffic police are reduced greatly.