93 results about "Unknown Source" patented technology

Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and / or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred.

A system for intelligently sorting e-mail comprises a client which downloads e-mails from a server. Prior to presenting the e-mails to the user, the client sorts the e-mail into classifications based upon whether the e-mail is from a personal contact, i.e. someone that that the user knows, whether the e-mail is from a commercial vendor from whom the user has indicated that he or she wishes to accept commercial e-mail, or whether the e-mail is from an unknown source. The client presents the e-mails to the user in these classifications.

A program or program snippet is rewritten to conform to site-specific properties prior to being executed by a target host. The program or program snippet directed to a target host from a known or unknown source is either intercepted by a server before reaching the target host or can be redirected from the target host to the server to effect its rewriting. The program is parsed in its external representation, converting it to an internal representation that is inspected and analyzed with reference to a site-specific properties database. A summary of the program's properties is then compared to the site-specific properties database by a binary rewriting engine, which produces a rewritten program in an internal representation. If appropriate, the program or program snippet is rewritten to convert it to a format suitable for execution on the target host. Furthermore, certifications may be added to the rewritten program to mark that the rewritten program obeys site-specific constraints. The rewriting service thus produces a program in an appropriate target representation that conforms to site-specific properties. These properties may relate to security, auditing, optimization, monitoring, threading, and / or management of the rewritten program.

A method and apparatus for accomplishing source learning in a data switch of the type having a plurality of switching modules where each supports one or more external network devices and a backplane interconnecting the switching modules. Each switching module has logic resident thereon for performing distributed source learning, including configuring unknown source addresses “seen” in inbound packets and for notifying the other switching modules that such source addresses were “seen” on a port thereof. Address-port associations are thereby configured on the switch using distributed logic, i.e. without intervention by a centralized management entity. In regard to configuring destination addresses—when a destination address is unknown, packets are delivered over a multicast queue until the destination address is found. Once the destination address is found, a method of flow integrity is used to avoid out of order packet delivery when the device transitions from using a multicast flood queue to a unicast queue.

A method of determining the location of an unknown source 10 transmitting a signal to satellite relays 14 and 16 comprises receiving replicas of the signal from the relays at receivers 18. The receivers 18 also transmit and receive reference signals via respective relays 14 and 16. All signals are downconverted, digitized and correlated with one another in pairs using a correlation function including a term which compensates for time varying differential frequency offset (DFO). Compensation for time varying differential time offset or time dilation is achieved by replicating or adding to signal samples and applying phase corrections. This procedure enables a correlation maximum and associated measurement results to be obtained despite the effects of relay satellite motion which mitigate against this. Results are used in a prior art geometrical technique to locate the unknown transmitter.

A method and system of locating discontinuities, measuring distances, locating unknown sources, and measuring the thickness of multimode dispersive medium includes sensing a multimode dispersive acoustic guided wave and frequency decomposing that wave using spectral temporal analysis; selecting a frequency which identifies a group delay of the guided wave for each mode occurring at that frequency; selecting a mode from the group delays of the selected mode, determining the group velocity from the dispersion curves and computing the desired parameter.

The invention discloses a method for product tracing and counterfeiting prevention. The method includes the following steps that: a user client end is utilized to input the serial number of a product to be queried; the user client end is utilized to transmit the serial number to an analysis processing module; the analysis processing module obtains a product resume relates to the serial number from a database according to the serial number, wherein the database stores serial numbers and product resumes related to a plurality of products, wherein the product resumes of the products include one kind or a plurality of kinds of information selected from brand information, production information, transfer information, storage information, trading information and query historical records of the products; and the analysis processing module performs analysis according to the obtained product resume so as to judge whether the product to be queried is authentic or not, and transmits a judgment result to the user client end. According to the method of the invention, the product resumes are established, so that information inquiry, counterfeiting prevention and tracing of products can be realized, and therefore, problems such as regional cross-region sales, counterfeits and unknown sources of smuggled goods can be effectively solved, and tracing and counterfeiting prevention of the products can be realized.

In a distributed switching environment, a plurality of switches are clustered together to form a stack, and it is generally desirable for forwarding tables, such as MAC tables, to be synchronized so that their mappings are consistent. When a switch receives a packet having a source address (e.g., MAC address) that is unknown, the switch is configured to disseminate the source address to the other switches of the stack. Rather than using software protocols to disseminate the source address, the switch instead transmits a multicast packet that (1) includes the unknown source address and (2) spoofs the other switches into believing that the packet was received on the same port from which the unknown source address was received on ingress to the stack. Thus, the other switches learn the unknown source address in hardware without having to rely on software for updating their forwarding tables.

Aspects of the invention are directed to a device and method for detecting characteristics of a gas. The gas includes an exhausted plume from a vehicle or factory plant, leaked gas from an oil well or gas resource, or unidentified gas from an unknown source. The method includes sweepingly directing a beam of light through the gas to a target surface on which the beam of light is scattered, acquiring the scattered light scattered from the target surface, and processing the acquired scattered light to determine the characteristics of the gas, where the characteristics of the gas comprise at least one of a temperature of the gas and an amount of at least one ingredient of the gas.

A method for neural current imaging. Electromagnetic fields produced unknown distribution of unknown sources in the body is sensed at a plurality of remote locations. The inverse problem is solved to produce a first fuzzy "image" of the sources. In addition, a standard imaging method, such as MRI, is used to independently image the body, to obtain a second fuzzy image of the sources. Additional independently obtained fuzzy images may also be provided. All or a selected subset of the images are pooled as components to form an enhanced image with greater resolution or clarity than the component images.

The invention discloses a load sharing method and a router under a hierarchical virtual dedicated local area network service (HVPLS) environment. A UPE (User Provider Edge Router) is directly connected with a plurality of NPEs (Network Provider Edge Routers), the NPEs are mutual backups to form an NPE backup group, and the UPE and a plurality of U-PWs (User-Pseudo Wires) among the NPEs form a U-PW backup group. The method comprises the steps of: receiving an unknown source MAC (Medium Access Control) address message sent by a direct-connected CE (Custom Edge) by the UPE, learning a source MAC address of the message, establishing an MAC entry, selecting one U-PW from the U-PW backup group, recording the U-PW identification in a U-PW identification item of the MAC entry, forwarding the message from the selected U-PW; and receiving a unicast data message sent by the direct-connected CE by the UPE, searching the U-PW identification corresponding to the source MAC address of the message from the self-established MAC entry, and forwarding the message from the U-PW corresponding to the U-PW identification. The invention realizes load sharing under an HVPLS environment, thus the bandwidth utilization rate is increased.

An antijam filter and method for filtering interference signals from signals received from the desired user in spatially multiplexed wireless communication systems. The antijam filter estimates the interference from known and unknown sources, and uses that estimate to filter the interference from the received signals. The filtered desired user signals are rendered for further signal processing using existing methods. The antijam filter and method are modular, with applicability to a wide range of wireless communication systems employing multiple antennas at the receiver.

The invention discloses a device and method for initiatively capturing an unmanned underwater vehicle on a water surface by an unmanned ship. The water surface unmanned ship, a recovery cage and an initiative capture control system are included. The water surface unmanned ship is of a double-body ship type, and an open cabin is arranged in the middle of a ship body. The recovery cage is used for capturing the unmanned underwater vehicle. The initiative capture control system is integrated in a shipborne computer of the water surface unmanned ship. The open cabin in the middle of the water surface unmanned ship is used for holding the recovery cage. The recovery cage is connected with the water surface unmanned ship through a hydraulic telescopic rod installed in the cabin. The hydraulic telescopic rod is connected with the initiative capture control system, the recovery cage is controlled by the initiative capture control system to be put into water or to be taken into the cabin, and the height of the collection cage is also adjusted precisely. The device and method has the beneficial effects that the unmanned ship and the recovery device and method thereof are provided, forced recovery can be conducted without the need for matching of the unmanned underwater vehicle, initiative capture of the uncontrollable unmanned underwater vehicle of an unknown source can be achieved, andimportant military application value is achieved.

The invention discloses a pollution source identification method based on correlation coefficient. The pollution source identification method comprises two processes of database creating and identifying. The database creating process comprises the following steps of: configuring a sensor monitoring point; dividing a space region and supposing positions of unknown sources; stimulating releasing processes of the unknown sources; acquiring concentration information of all the released unknown sources; and creating a database of the positions and the concentration information the unknown sources. The identifying process comprises the following steps of: adopting concentration information relevancy matching and nearest neighbor rules, when real pollution occurs, finding out a position point with the largest relevancy in the database by a relation coefficient analysis method based on the concentration information of pollutant, and the position point is a pollution source releasing point. According to a monitoring stationing method of the pollutant, different stationing principles are adopted aiming at feature regions of strong and weak convective regions; compared with the prior art, according to the pollution source identification method based on the correlation coefficient, the identification efficiency and accuracy are improved, according to the monitoring stationing method of the pollutant, the number of stationed points is reduced, and the monitoring stationing method of the pollutant is the high efficient stationing method; and the foundation is established for the pollution source identification method provided by the invention.

The invention belongs to the technical field of signal and information processing, and relates to a digital-image evidence obtaining method for detecting camera sources of digital photo images. The method is characterized in that a CFA interpolation coefficient in an imaging process is estimated by utilizing a covariance matrix under the circumstance of only acquiring a digital image; an optimal feature is preferred by adopting an SFFS feature selection algorithm and is taken as the feature of classification detection; and through pre-trained models and parameters, the digital image with an unknown source is detected and the camera-source evidence of the digital image is obtained by using a support vector machine SVM as a classifier. The method has the advantages of accurately identifying the camera source of the digital image and obtaining evidence under the circumstance of only acquiring the digital image. The method is suitable for the field of information security.

A method for determining a plurality of proteins for discriminating and positively identifying an individual based from a biological sample. The method may include profiling a biological sample from a plurality of individuals against a protein array including a plurality of proteins. The protein array may include proteins attached to a support in a preselected pattern such that locations of the proteins are known. The biological sample may be contacted with the protein array such that a portion of antibodies in the biological sample reacts with and binds to the proteins forming immune complexes. A statistical analysis method, such as discriminant analysis, may be performed to determine discriminating proteins for distinguishing individuals. Proteins of interest may be used to form a protein array. Such a protein array may be used, for example, to compare a forensic sample from an unknown source with a sample from a known source.

The invention discloses an SNP (single nucleotide polymorphism) marker for identifying MC1R (melanocortin receptor 1) genes of pig breeds and colors of the pig breeds and further discloses an SNP marker primer for identifying the MC1R genes of the pig breeds and the colors of the pig breeds as well as an SNP marker method for identifying the MC1R genes of the pig breeds and the colors of the pig breeds. The molecular genetic marker is not limited by ages, sexes and the like of pigs, can be applied to early breeding of pure breeds of local black hogs and can further be used for performing pig breed and color identification and genetic relationship deduction on pork samples from unknown sources. A screening method is accurate, operation is simple, the cost is low, and the efficiency is high.

A multi-spectral reconstruction method based on adaptive finite element comprising the following steps: discretizing the diffusion equation in the object domain on the single spectral; establishing the relationship between the boundary measurement data and the unknown source variables on single spectral based on a posteriori permissible source region selection method, and forming the objective function based on the multi-spectral characteristics and the regularization method; optimizing the objective function and determining if the reconstruction shall be stopped or not; and if the reconstruction shall not be stopped, refining the mesh adaptively by using a posteriori measure method, and then returning to the first step to continue the reconstruction process. This method uses kinds of a priori information and the multi-spectral information, combined with the adaptive finite element method, proposes a posteriori permissible source region strategy, improves the reconstruction quality and speed of BLT availably, and reduces the ill-posedness of this imaging modality.

A position sensitive radiation spectrometer for identifying, quantifying, and locating a radioactive source in a target. The position sensitive radiation spectrometer includes an array of gamma-ray detectors arranged along one or more dimensions of a container to be assayed. A known source placed at various calibration positions is used to establish counting efficiencies at various energy levels. From the counting efficiency and the actual count rate, the activity level of an unknown source relative to the calibration positions is calculated. The relative activity levels correlate to the position of unknown source and provide useful information about the actual distribution of radioactive material.

A method for identifying the source of animal waste is provided. The method includes taking DNA samples from a known group of animals, conducting DNA analysis on the DNA samples to prepare a genetic profile for each animal from the group, preparing a database of the genetic profiles, collecting a specimen of waste from an unknown source, conducting DNA analysis on the specimen, and comparing the DNA analysis from the specimen to the database to determine the source of the waste.

Compositions are disclosed. One embodiment of a composition comprises a first antibody having an affinity for an antigen and a second antibody having an affinity for the first antibody, wherein at least one antibody is conjugated to a marker, and wherein the antigen is not present in the composition. Further disclosed are methods of using compositions according to the invention for analyzing a biological sample by antibody profiling for identifying forensic samples or detecting the presence of an analyte. In embodiments of the invention, the analyte is a drug, such as marijuana, cocaine, methamphetamine, methyltestosterone, or mesterolone. Forensic samples are identified by comparing a sample from an unknown source with a sample from a known source. Further, an assay, such as a test for illegal drug use, may be coupled to a test for identity such that the results of the assay may be positively correlated to the subject's identity.

The invention discloses a multi-classifier global dynamic fusion indoor positioning method, belongs to the technical field of positioning a complex indoor signal source target by using a global fusion and online dynamic matching method of multi-classifiers, and solves a problem that weight solution does not fully excavates the inherent correlation between multiple classifiers, and fusion accuracy decreases in environments with large RSS fluctuation. The method comprises establishing a RSS fingerprint database for divided grid point received signal strength; in the RSS fingerprint database, dividing the signal intensity value of each grid point into two parts one of which is used for learning a plurality of classifiers and the other of which is input into the classifiers to predict a result and to calculate the global fusion weight of each grid point according to the result prediction and to store the global fusion weights in a weight matrix; inputting the RSS value of a unknown source to respective classifiers to perform position estimation and determine the estimate the coordinate position of the unknown source according to the optimal fusion weight of the position estimation in a weight matrix index. The multi-classifier global dynamic fusion indoor positioning method is used for indoor positioning.