1943results about How to "Efficient detection" patented technology

A system and method for detecting defective pixels in a sensor. A plurality of pixel values of the sensor may be detected. The values may include those of a first pixel and each nearest neighboring pixel to the first pixel. A second pixel may have the highest value of the neighboring pixels. A third pixel may have the next highest value of the neighboring pixels. A first function may be performed on the second pixel value, producing a first output value. A second function may be performed on the third pixel value, producing a second output value. If the first pixel value is higher than the first output value, or, if the first pixel value is higher than the second output value and the second pixel value is higher than the second output value, it may be determined that the first pixel is defective.

A steganographic method embeds hidden information like digital watermarks and digital fingerprints into an image by applying one or more zero-mean patches to a digital signal that conveys the image. Each zero-mean patch comprises elements having an average value substantially equal to zero. A printer tracking system is implemented by selecting a plurality of zero-mean patches according to a string of bits representing a printer serial number, and modifying printer control signals to embed the plurality of patches in each of a number of virtual cells within the image to be printed. The offset of the virtual cells with respect to the boundaries of the image and the location of the patches within each virtual cell are established in pseudo-random fashion. The printer tracking system further includes a technique for subsequently detecting the printer serial number by scanning the printed image and running a detection algorithm on the scanned data to recover the string of bits embedded in the zero-mean patches.

A method and system for logical group endpoint discovery in a data communication network is disclosed. A network endpoint receives from a source a request identifying a logical group and determines whether a port associated with the endpoint is a member of the logical group. If a port associated with the endpoint is a member of the logical group, the endpoint transmits to the source a reply identifying the port and the logical group. The request may be multicast while the reply may be unicast. The logical group may be a VLAN or a multicast group. The source and endpoint are preferably 802.1 ag maintenance endpoints. The request may include an IEEE 802.1 ag continuity check multicast address as a destination address.

A computer implemented method on a computer readable media is provided for determining the source of a problem in a complex system of managed components based upon symptoms. The problem source identification process is split into different activities. Explicit configuration non-specific representations of types of managed components, their problems, symptoms and the relations along which the problems or symptoms propagate are created that can be manipulated by executable computer code. A data structure is produced for determining the source of a problem by combining one or more of the representations based on information of specific instances of managed components in the system. Computer code is then executed which uses the data structure to determine the source of the problem from one or more symptoms.

A method of detecting attacks in a wireless data communications network, includes: monitoring wireless traffic over the wireless data communications network; deriving a first network state from the monitored wireless traffic; acquiring trusted information indicative of a wireless network state from at least one apparatus of a network infrastructure; establishing a second network state based on the acquired trusted information; comparing the derived first network state with the second network state, and determining a wireless network attack in case of incoherence between the derived first network state compared to the second network state.

An object detection system is provided that projects one or more patterns onto a monitored area, captures one or more live images of the monitored area, and detects objects that enter the monitored area by detecting changes in the one or more patterns in the live images. Such an object detection system may be less susceptible to dynamic lighting conditions, and more sensitive to object motion and/or presence.

Neutron detectors, advanced detector process techniques and advanced compound film designs have greatly increased neutron-detection efficiency. One embodiment of the detectors utilizes a semiconductor wafer with a matrix of spaced cavities filled with one or more types of neutron reactive material such as ¹⁰B or ⁶LiF. The cavities are etched into both the front and back surfaces of the device such that the cavities from one side surround the cavities from the other side. The cavities may be etched via holes or etched slots or trenches. In another embodiment, the cavities are different-sized and the smaller cavities extend into the wafer from the lower surfaces of the larger cavities. In a third embodiment, multiple layers of different neutron-responsive material are formed on one or more sides of the wafer. The new devices operate at room temperature, are compact, rugged, and reliable in design.

A wireless power transmitter (WPT) including a first, second, third circuit and a transmit coil for wirelessly delivering power to a wireless power receiver (WPR) including a receiver coil, rectifier, impedance network, protection circuitry, control logic, modulator/demodulator and ADC is provided. A method that enables WPT and WPR to deliver the required power to the WPR's downstream load in planar, orthogonal and intermediate modes of WPR placement on WPT is provided. The WPR is integrated into the strap/frame or in the vital area of the device. To avoid a heated metal object safety issue, the WPT implements a metal object detect algorithm to detect metal objects and terminate transmission of power. To protect their circuitry from induced voltage spikes in excess of acceptable levels, the WPR includes a simple protection circuitry that naturally turns on and siphons out the excess power when the acceptable threshold levels are exceeded.

The present invention is a system and method for increasing the value of the audio-visual entertainment systems, such as karaoke, by simulating a virtual stage environment and enhancing the user's facial image in a continuous video input, automatically, dynamically and in real-time. The present invention is named Enhanced Virtual Karaoke (EVIKA). The EVIKA system consists of two major modules, the facial image enhancement module and the virtual stage simulation module. The facial image enhancement module augments the user's image using the embedded Facial Enhancement Technology (F.E.T.) in real-time. The virtual stage simulation module constructs a virtual stage in the display by augmenting the environmental image. The EVIKA puts the user's enhanced body image into the dynamic background, which changes according to the user's arbitrary motion. During the entire process, the user can interact with the system and select and interact with the virtual objects on the screen. The capability of real-time execution of the EVIKA system even with complex backgrounds enables the user to experience a whole new live virtual entertainment environment experience, which was not possible before.

A touch unit array including a plurality of first strip electrodes, a plurality of second strip electrodes, and a plurality of electrode pad units is provided. Each first strip electrode has at least one first opening. The second strip electrodes are orthogonally arranged to the plurality of first strip electrodes. Each electrode pad unit includes at least one electrode pad, and the electrode pads are respectively disposed in the plurality of first openings, wherein each electrode pad unit receives a first driving signal.

A method of characterizing a maximum height of a storm cell for an aircraft is provided. First reflectivity data formed from a first scan of a storm cell by a radar is received and a first centroid of the storm cell is identified. Second reflectivity data formed from a second scan of the storm cell by the radar is received and a second centroid of the storm cell is identified. A scan axis for a third scan of the storm cell based on the first centroid and the second centroid is determined. Third reflectivity data formed from the third scan of the storm cell by the radar at a first time is received. The third reflectivity data is sampled to form pixel data that includes a reflectivity indicator determined for each pixel formed from the third reflectivity data. A maximum height of the storm cell is determined by processing the pixel data.

The present invention provides an effective method for migrating the system services on which applications depend, rather than all of the system services, from a source OS platform to a target platform, in order to provide a suitable and consistent environment for the applications, while reducing the cost of the migration. The migration method further classifies the configurations of system services on different platforms into common configurations and specific configurations to accelerate the determination of the source of a migration error.

The present invention provides a method and/or means for collecting and analyzing an individual cell in a tissue, and at the same time, quantitatively monitoring the expression levels of various genes while keeping two-dimensional information in the tissue. Specifically, the present invention provides a method comprising preparing a cDNA library from mRNA while keeping two-dimensional cellular distribution information and obtaining the gene expression levels at any site or all sites at a level of single cell. More specifically, the present invention provides a method comprising preparing a cDNA library in a sheet-form from mRNA while keeping two-dimensional cellular distribution information and repeatedly using the cDNA library in the detection of the gene expression, thereby allowing measurement of the expression distribution for a number of genes at a high accuracy.

The present invention provides methods and compositions for predicting the response to a therapeutic regimen in a subject having a disease associated with cell death.

The present invention provides binding moieties for fibrin which have a variety of uses wherever detecting, isolating or localizing fibrin, and particularly fibrin as opposed to fibrinogen, is advantageous. Particularly disclosed are synthetic, isolated polypeptides capable of binding fibrin and recognizing the form of polymerized fibrin found in thrombi. In addition, the polypeptides have a slow dissociation rate from fibrin, which improves their ability to form a contrast image at the site of a fibrin clot, making the disclosed binding moieties particularly useful as imaging agents for thrombi.

The invention relates to CC (Communication Center) attack protective method and system thereof. The method comprises the steps of: 1, judging whether an access is a first access; 2-1, if the access is the first access, generating a client script and sending to a client end, requiring a client to verify the script, using the verified script as a safety mark and carrying out a second access; 2-2, if the access is not the first access, analyzing HTTP head information, judging whether the safety mark exists in the access request and is legal or not, if the access does not have the safety mark or the safety mark is illegal, executing the step 3, and if the access has the legal safety mark, allowing the client end to access a WEB server; and 3, marking the access as one attack, and rejecting the client end to access the WEB server. The system comprises a CC attack detection module, a CC random script generating module, a filter module and a control management module. The method can be used for rapidly detecting a CC attack object and avoids shielding a normal access request of a user.

Methods and apparatuses for detecting and recovering from a buffer overflow attack are provided. A method of recovering an operation state of a processor from a buffer overflow attach includes: detecting whether a buffer overflow attack is made on any write operation while storing write operations that are potential targets of buffer overflow attacks in a predetermined location instead of an original destination to store write operations; storing the contents stored in the predetermined location at a predetermined interval in the original destination for storing write operations if no buffer overflow attack is detected and discarding unsafe write operations subsequent to a buffer overflow attack if a buffer overflow attack is detected; and ignoring the unsafe write operations subsequent to the buffer overflow attack if a buffer overflow attack is detected. Therefore, a buffer overflow attack occurring in a computer can be effectively detected, and damage of a system which is attacked can be minimized and the system can be recovered or return to the original state before the attack. A system can be effectively protected while minimizing reduction in performance of the computer system according to a method used to implement the present invention, thereby greatly improving the environments under which the computer and the Internet are used.

An emulator on a host computer includes a static analysis module that analyzes executable code of a suspicious sample to determine whether the code identifies that a particular packing program (packer) has packed the sample. Once identified, a custom configuration file is generated that identifies particular API hooks or instructions that should be disabled (or enabled) so that the sample file cannot use these hooks or instructions to detect that it is executing within an emulator. The emulator (such as a virtual machine or sandbox) is configured using the configuration file. The suspicious sample is then executed and its behaviors are collected. The sample is prevented from detecting that it is operating within an emulator and thus prevented from terminating prematurely. Malicious behaviors are scored and a total score indicates whether or not the suspicious sample is malicious or not. Static analysis identifies signatures, instructions or strings.

Updated information presenting software creates a list of information source URLs provided with the index of importance determined by the frequency of access to the referring URLs in the past, and selects an information source URL with a high index of importance by an information source URL sorting section, and obtains data from a server computer by a network file access section. A file comparing section detects whether the contents of the data have been updated, and, when a tag information change detecting section detects a new link and a changed anchor character string, an output formatting section creates output HTML which displays the new link and the changed anchor character string together with the information source URLs in order of the index of importance and supplies the output HTML to a browser.

The present invention provides a method, data processing system and program product in which scanning for a virus is improved by prioritizing the scan of executable files, such as applications, libraries, services etc., which are more likely to cause a problem to a computer system, ahead of other files. A priority order is determined free from user input by obtaining information from the operating system which can be used to determine such an order. For example the information comprises details of startup applications and/or launch frequency of installed applications. This enables the virus scanner to prioritize the scan of higher risk files which, if they contained a virus, would otherwise adversely affect a computer system if a prior art virus scan was performed based on an arbitrary search order.

The invention relates to a system and a method for detecting an article in a video scene. The method comprises the following steps of: (a) setting an empty background model and receiving a first frame of scene in N frames of colored video scenes; (b) comparing each pixel of a second frame of scene serving as the current scene with a corresponding pixel in the background model of the first frame of scene, and judging whether a difference of the pixel values and a brightness difference value are smaller than or equal to preset threshold values; (c) if the difference of the pixel values and the brightness difference value are smaller than or equal to the preset threshold values, determining that the pixel is a background pixel and adding the pixel into the background model so as to generate a new background model, wherein all background pixels form a background article; or (d) if the difference of the pixel values and the brightness difference value are not smaller than or equal to the preset threshold values, determining that the pixel is a foreground pixel, wherein all foreground pixels form a foreground article; and (e) taking one of other frames of scenes in the N frames of scenes as the current scene, taking the background model obtained by detecting all the scenes before the current scene as the current background model, and performing the steps from (b) to (d) so as to detect the foreground article and the background article in each scene. By the invention, a dynamic background can be updated in real time.

The invention relates to a living iris detection method, which comprises the following steps of: S1, pre-treating a living iris image and an artificial iris image in a training image library; performing multi-scale characteristic extraction of local binary mode in an obtained interested area, and selecting the preferable one from the obtained candidate characteristics by using an adaptive reinforcement learning algorithm, and establishing a classifier for living iris detection; and S2, pre-treating the randomly input test iris image, and calculating the preferable local binary-mode characteristic in the obtained interested area; inputting the calculated characteristic value into the classifier for living iris detection obtained in step S1, and judging whether the test image is from the living iris according to the output result of the classifier. The invention can perform effective anti-forgery detection and alarm for the iris image and reduce error rate in iris recognition. The invention is widely applicable to various application systems for identification and safety precaution by using iris recognition.

The invention relates to the technical field of a social network and particularly relates to a multi-label propagation discovery method of overlapping communities in the social network. The multi-label propagation discovery method comprises the following steps: reading data of the social network, constructing a social network diagram which adopts social network users as nodes and user relationship as edges; according to the social network diagram, carrying out preliminary community division of the social network, and carry outing community discovery by adopting a label propagation method of comprehensively considering the node centrality and label-degree distribution constraint to obtain a non-overlapping community structure; marking the levels of the nodes according to the obtained non-overlapping community structure and the centrality value of the nodes in the communities; and according to the levels of the nodes, calculating label propagation gain among the nodes with different levels, and carrying out overlapping node mining by utilizing the multi-label propagation to obtain the overlapping community structure of the social network. The multi-label propagation discovery method has the advantages that the overlapping community structure in the social network can be effectively mined, the accuracy and the efficiency of community detection are favorably improved, and the method can be applicable to the fields of target group mining, precision marketing and the like.

A system for detecting defects in paint coatings includes a temperature manipulation apparatus configured to change the temperature of a surface and a coating applied to the surface. The system may further include an infrared sensor for measuring the change in temperature (over time) of the surface and coating and a processor to compare the measured change in temperature of the surface and coating to an expected change of temperature (over time) in order to determine anomalies in the coatings. A self-referencing method of determining defects is also disclosed, wherein surrounding pixels are utilized as a reference in the detection process for calculating the change in temperature of each pixel. In addition, application of the inventive aspects to inspection of adhesion interfaces is also disclosed.

A detecting method for detecting internal resistance of an inspective rechargeable battery when said inspective rechargeable battery is charged by the constant current-constant voltage charging regime, said detecting method comprising at least a step (a) wherein an accumulated, charged electricity quantity of said inspective rechargeable battery in the constant voltage charging mode is obtained and a step (b) wherein said charged electricity quantity of said inspective rechargeable battery obtained in the constant voltage charging mode in said step (a) is referred to previously acquired data of a normal rechargeable battery, which corresponds to said inspective rechargeable battery, with respect to relationships of charged electricity quantities Q_cv thereof versus internal resistances thereof when increased or decreased or their increased or decreased magnitudes in the constant voltage charging mode.

A method for determining the extent of recovery of materials injected or otherwise introduced into oil wells or subsurface formations is practiced using a portable device. The portable device can also be used to determiner the occurrence of a predetermined condition in an oil well such as water break through in a production zone, or the opening or closing of a sliding sleeve. When, for example, water breakthrough is detected, the zone producing too much water can be plugged, using, for example, a flow-through bridge plug, if there are other producing zones further downhole. The portable device may be use to make quantitative measurements or it may be used to do pre-screening of samples thereby avoiding further testing of negative samples.

Systems and methods are disclosed for distributed temperature and strain sensing along a length of an infrastructure. Two optical sources, such as, external cavity lasers with a narrow linewidth, are used for launching a probe signal into a sensing fiber coupled to the infrastructure, and for producing a local oscillation signal, respectively. The optical sources are coherently locked with a predefined frequency offset with respect to each other, the predefined frequency offset being in the order of the Brillouin frequency shift. The optical sources are included in an optical phase lock loop (OPLL) system. A balanced heterodyne receiver for narrow band detection at radio frequency (RF) bandwidth receives an optical signal generated by coherent mixing of a backscattered probe signal with the Brillouin frequency shift and the local oscillation signal, and produces an output indicative of one or both of a measured temperature and a measured strain.

The invention provides an image object detection method. The image object detection method is capable of achieving good detection performance in a large image data set. The method includes the steps that multiple sample images are marked according to the priorities of information amounts, so that corresponding marked images are obtained; regions containing objects or regions highest in probability of object existence are extracted from the marked images, and candidate windows are generated; feature expressions of the candidate windows are extracted from a convolution neural network and form a candidate set, the candidate set is fitted through semi-supervised learning, and therefore a target function of an image detection model is obtained; the region containing a target object or the region highest in probability of target object existence is extracted from an image to be detected, a window to be detected is generated, the feature expression of the window to be detected is extracted and detected, and the candidate window highest in the probability of target object existence is obtained. The method can rapidly and accurately detect the target object in the large data set.

Apparatus including an ion trap, a controller connected to the ion trap, wherein the controller includes a memory containing computer readable instructions which, when executed, cause the controller to send control signals to the ion trap so that the ion trap produce and maintain a trapping field in the ion trap, a waveform generator to change the trapping field so that ions of a predetermined mass in the trapping chamber are selectively moved; a secondary waveform generator to change the orbits of the ions; an energy source to excite ions to emit photons, an optical detector to detect the emitted photons, and a processor which can apply fast-Fourier transform analysis of the time-domain signal of the detected emitted photons to generate a frequency or mass spectrum related to mass-to-charge ratio of the ions.

The present invention is a method and system for detecting and tracking shopping carts from video images in a retail environment. First, motion blobs are detected and tracked from the video frames. Then these motion blobs are examined to determine whether or not some of them contain carts, based on the presence or absence of linear edge motion. Linear edges are detected within consecutive video frames, and their estimated motions vote for the presence of a cart. The motion blobs receiving enough votes are classified as cart candidate blobs. A more elaborate model of passive motions within blobs containing a cart is constructed. The detected cart candidate blob is then analyzed based on the constructed passive object motion model to verify whether or not the blob indeed shows the characteristic passive motion of a person pushing a cart. Then the finally-detected carts are corresponded across the video frames to generate cart tracks.