374 results about "Detection filter" patented technology

A phishing filter employs a plurality of heuristics or rules (in one embodiment, 12 rules) to detect and filter phishing attempts solicited by electronic mail. Generally, the rules fall within the following categories: (1) identification and analysis of the login URL (i.e., the “actual” URL) in the email, (2) analysis of the email headers, (3) analysis across URLs and images in the email other than the login URL, and (4) determining if the URL is accessible. The phishing filter does not need to be trained, does not rely on black or white lists and does not perform keyword analysis. The filter may be implemented as an alternative or supplemental to prior art spam detection filters.

A method and apparatus for detecting at least one of a location and a scale of an object in an image. The method comprising distinguishing the trailing and leading edges of a moving object in at least one portion of the image, applying a symmetry detection filter to at least a portion of the image to produce symmetry scores relating to the at least one portion of the image, and identifying at least one location corresponding to locally maximal symmetry scores of the symmetry scores relating to the at least one portion of the image, and utilizing the at least one location of the locally maximal symmetry scores to detect at least one of a location and a scale of the object in the image, wherein the scale relates to the size of the symmetry detection filter.

A method is provided for detecting road lane markers in a vehicle road using an imaging device. Road input data is captured using the imaging device. Lighting normalization is applied to the road input data. The method detects the road lane markers in a few main orientations in the normalized input data. In each main orientation, the normalized input data is convolved with an oriented edge detection filter for generating an oriented edge-based filter response. The normalized input data is convolved with an oriented line detection filter for generating an oriented line-based filter response. Candidate lane markers are selected in response to the edge-based filter response and line-based filter response in each main orientation. A transformation technique is applied to the candidate lane markers for identifying the lane markings in each main orientation.

An exhaust gas purification system includes a particulate filter, a sensor that detects a filter differential pressure and a controller that controls regeneration of the particulate filter. The controller is programmed to execute a control for burning particulate accumulated on the particulate filter, determine whether regeneration of the particulate filter is completed, detect, in cooperation with the sensor, a filter differential pressure immediately after it is determined that regeneration of the particulate filter is completed, and estimate an ash accumulation amount based on the detected filter differential pressure. An exhaust gas purification method is also provided.

A kit for testing male fertility comprises a vessel, a base unit, a liquid supply containing liquid and two filters. The first filter is a sample separation filter which forms a hindrance to transmission of spermatozoa. The second filter of the kit is a spermatozoa detection filter comprising a reagent for identifying spermatozoa. Activation of the kit is prevented until a transport medium, such as the liquid, fills a gap allowing spermatozoa to transmit to a detection zone. The kit may be of one-piece construction and utilizes a thin piece of filter material to separate motile from non-motile spermatozoa.

A cordless modem comprises a radio pair interfaced to a standard data/fax modem which allows a user of a personal computer to wirelessly connect to a telephone line. One end of the radio pair is a remote unit interfaced to the modem contained within the PC while the other end is a base unit connected to a standard telephone wall jack. The base unit can selectively discriminate and adjust for signals received from a telephone voice handset or data signals received from the cordless modem remote unit. Upon receiving an off-hook signal or an incoming call signal, the base unit identifies the type of data (i.e., voice or computer modem data) and adapts accordingly by placing an FM modulator in either of a narrow band deviation or a wide band deviation covering the required range of the particular signal combined with local echo. That is, when voice data is present, a low deviation, narrow filter combination is selected. If, on the other hand, the computer data from the cordless modem is detected, a higher deviation, wider bandwidth filter is selected. In addition, the remote unit switches a pre-detection filter from one mode to another depending on whether it is connected to a computer modem or to a voice handset. Security from eavesdroppers as well as the mitigation of signal fading is provided by overlaying a pseudo-random number (PN) code on the FM modulated signal.

A cycle slip detector and detection method for a phase comparison circuit are provided. The cycle slip detector includes a cycle slip detection filter possessing a predetermined filter bandwidth and a predetermined high frequency cut-off. The cycle slip detection filter receives a phase difference generated by the phase comparison circuit and transforms the phase difference into a filtered phase difference. The cycle slip detector further includes a compensator communicating with the cycle slip detection filter. The compensator compensates the magnitude based on a predetermined compensation response. The cycle slip detector further includes a cycle slip occurrence detector communicating with the compensator. The cycle slip occurrence detector compares a compensated magnitude of the filtered phase difference to a predetermined cycle slip threshold and generates a cycle slip output if the compensated magnitude exceeds the predetermined cycle slip threshold.

A method is provided for detecting filter clogging which are able to keep track of the filter clogging with precision and in detail. At least one pressure selected from the group consisting of a pressure Pa in a blood inflow portion (32a), a pressure Pv in a blood outflow portion (32b), a pressure Pf1 in a filtrate inflow portion (32c), and a pressure Pf2 in a filtrate outflow portion (32d) is measured continuously, then a variation (pressure waveform) of the pressure is analyzed, a clogging of a filter (32) is detected using the analyzed result. Thereby a clogging of a filter is detected early. As a result, it is possible to prevent from developing of the filter clogging by controlling a dosage amount of anti-coagulant properly and changing a flow rate of blood. The variation of the pressure wave may be analyzed by subjecting the variable to Fast Fourier Transform.

The invention discloses a cooperative design method of fault detection filter and controller under DoS attack. The method is applied to a USV course control system, and is a cooperative design methodof a fault detection filter and an elastic event trigger controller based on a state observer, and the method comprises the following steps of: establishing a mathematical model based on the state observer USV control system under the influence of an actuator fault, a DoS attack and a network delay; introducing an event trigger mechanism related to the state of the observer, and establishing the model of the USV control system capable of simultaneously describing the time delay of the network transmission and the influence of the event trigger mechanism by using the time-delay system theory, determining an event trigger matrix W of the USV control system model, a state observer gain matrix L1, L2, a fault detection filter gain matrix V1, V2 and a controller gain matrix K; establishing a fault detection filter and an elastic event trigger controller based on a state observer under the DoS attack. The cooperative design method of fault detection filter and controller under DoS attack caneffectively resist the DoS attack and detect the fault in time.

Methods and systems for detecting and correcting for undesirable vibrations impacting the servo systems in data storage devices. A detection technique is provided wherein a detection filter is configured to scan a position signal of the servo system across a range of frequencies, and, at each respective scanned frequency, record an amplitude associated therewith. The recorded amplitudes are examined to determine whether any exceed a threshold, thereby locating a peak frequency of the vibration. Using the detected peak frequency of the vibration, a corrective filter is configured to operate about the peak frequency of vibration, thereby reducing its impact on the position signal in the servo system. Optimum detection and correction filter structures are disclosed, as are techniques for addressing filter state vectors as initial conditions as the corrective filters are repeatedly engaged during successive settle-out and track follow cycles (between seeks), as are continuous adaptation techniques for changing vibration environments.

The present disclosure provides a robot cleaner including a suction motor installed within a main body to generate a suction force, at least two conductive plates (111, 112) spaced apart from each other to form a flowing path for external air introduced by the suction force, and a calculator (120) to measure a capacitance value between the at least two conductive plates (111, 112). A porous structure (210; 350) may be provided having at least one through hole (H) through which external air introduced by the suction force flows, a filter (33, 34; 310, 320, 330) disposed on one surface of the porous structure (210; 350) to filter dust contained in the air, and a power supply unit (220) configured to apply alternating current (AC) power to at least a partial surface of the porous structure (210, 350).

A filter monitor is disclosed capable of sensing the presence of water in the filter. The sensor utilizes changes in capacitance of a water absorbing media which functions as a dielectric disposed between a pair of electrodes. The sensor is in communication with a valve means to interrupt the transient fluid when a predetermined amount of water is present in the fluid.

The invention discloses a high-precision gas concentration detection method and a detection apparatus thereof. The detection method comprises the following steps: a current is input to a laser drive circuit; a laser is driven by the laser driving circuit to emit a laser signal, and the laser signal passes through a detected gas in a gas chamber; a photoelectric detector receives a laser signal output by a relevant gas in the gas chamber after absorption, implements photoelectric detection, converts the laser signal to a voltage signal and inputs the voltage signal to a detection filter unit; a signal output by the detection filter unit implementing band-pass filter processing is divided into two paths, one path goes through a lock-in amplifier circuit to obtain a secondary harmonic signal, and the other path goes through an RMS conversion circuit to obtain an RMS signal; sampling is carried out, and the wave peak value Vpp max, the wave trough value Vpp min and the RMS are calculated; and a data processing unit calculates the concentration X of the gas to be detected. The gas concentration detection method can be used to accurately measure the concentration of the gas, and can eliminate the influences of a circuit and the change of light transmittance on the measurement of the concentration of the gas in order to improve the detection accuracy.

An airflow filter device is employed, for example, in an air-conditioning system for a vehicle and an air-conditioning system for a construction machine. The filter device has a filter for purifying an airflow, an ammeter for detecting clogging in the filter, a filter cleaning warning light that provides a warning to clean the filter when the number of times of clogging in the filter, which is detected by the ammeter, is equal to or less than a threshold value, and a filter replacement warning light that provides a warning to replace the filter when the number of times of clogging exceeds the threshold value.

The invention belongs to the control field and provides a design method of a robustness fault detection filter of a linear uncertain system. A Lyapunov function method on which a homogeneous polynomial parameter depend is introduced into robustness fault detection of a linear time invariant system with convex polyhedron nondeterminacy. Firstly, existence of an HPPDL function used for designing an RFDF can be verified through feasibility of a linear matrix inequality; secondly, maximal fault sensitivity is obtained through solving a generalized eigenvalue problem, and an optimal RFDF is obtained. With increase of polynomial time, quantity of the linear matrix inequality and a free variable are increased, and conservation of verification is reduced substantially. The design method comprises two phases: (1) designing an optimal RFDF for a residual error generator with certain interference attenuation and largest fault sensitivity; (2) carrying out threshold design for a residual error generated by estimation. Compared with a previous analogy method, the design method in the invention has generality.

System for a dust filter unit includes dust detector to measure dust concentration in an outlet conduit of the filter unit. A controller establishes the detected dust concentration following a cleaning cycle of a filter of the unit and in one form compares that detected concentration to a baseline concentration to identify whether there is possible leak in the filter. The system also includes monitoring arrangements to measure pressure profiles in the unit to assess the state of values and/or filters in the unit. Methods of detecting the state of a filter unit are also described.

Each time a starting process for a diesel engine 2 is conducted and before the diesel engine 2 is started, any differences of the pressures P1 and P2 detected by first and second pressure sensors 21 and 22, respectively, with respect to a predetermined reference pressure value Pref, are computed and stored as first and second correction values ΔP1 and ΔP2, and then a differential pressure P12 across a particulate filter in the diesel engine 2 is computed using the pressure detection results of the first and second pressure sensors 21, 22 and the first and second correction values ΔP1,ΔP2. Thus, use of simply constructed and highly durable sensors during the detection of the differential pressure existing across the filter allows accurate measurement of this differential pressure.

A warning device for warning change time of a filter for cleaning air includes an indication lamp which indicates a warning of the change time of the filter, and a control unit for controlling operation of the indication lamp. The control unit sets a next timer setting value for the next filter change to a filter-using time until a change of the filter, and operates the indication lamp when the filter-using time passes the next timer setting value after the change of the filter. Thus, the warning of the change time of the filter is performed at a suitable moment reflecting a variation of a clogging degree of the filter. As a result, the warning device accurately performs the warning of the change time of the filer without using a sensor for detecting the clogging degree of the filter.

Embodiments of the present invention relate to methods and systems for detecting and removing a clogging condition of a filter in a dishwasher. According to one embodiment, the method includes determining a normal water level or a normal rate of water level change for a wash cycle of the dishwasher and monitoring a water level or a rate of water level change during execution of the wash cycle. The method further includes detecting the clogging condition of the filter by detecting a deviation thereof. A current position of the wash cycle being executed may then be determined. The method further includes executing a remedial operation to facilitate removal of the clogging condition and determining if the clogging condition has been removed. Finally, the method includes resuming operation of the dishwasher at a wash cycle position based on the current position if the clogging condition has been removed.

The invention provides a fault detection method of a nonlinear network control system based on an event triggering mechanism, and relates to the technical field of network system fault detection. Themethod comprises the following steps: firstly, establishing a T-S fuzzy model of the nonlinear network control system, setting an event triggering condition, establishing a fuzzy fault detection filter model, establishing a fault weighting system, and then establishing a fault detection system model; selecting an appropriate residual evaluation function and a detection threshold according to the fault detection system model, and detecting whether a fault of the nonlinear network control system occurs; and finally, further designing a parameter matrix and an event triggering matrix of a fault detection filter according to the stability of the fault detection system and sufficient conditions of existence of the fault detection filter. By adoption of the fault detection method of the nonlinear network control system based on the event triggering mechanism provided by the invention, the robustness to external disturbance and communication delay is greatly improved, and the limited networkresources and computing resources can be saved by the application of the event triggering mechanism.

An engine exhaust gas purification device is disclosed. The purification device has a filter (13) which traps particulate matter contained in the exhaust gas from an engine; a differential pressure detection sensor (16) which detects a differential pressure of the filter; a sensor (14, 15, 21, 31, 33) which detects an engine running state, and a microcomputer (22). The microcomputer (22) is programmed to compute an estimated ash amount ASH_a of the filter based on the detected differential pressure; compute an oil consumption amount OC_total based on the detected engine running state; compute an ash density DENS_ASH from the oil consumption amount OC_total and estimated ash amount ASH_a, and compute an ash amount ASH of the filter based on the oil consumption amount OC_total and ash density DENS_ASH.