1211 results about "Best matching" patented technology

The present invention provides a data-structure to store a search database and provides techniques to build this datastructure given a list of prefixes (P) and to search this database efficiently for a best matching prefix for an address D. The data-structure can be stored in standard memory (14), where values are stored associated with memory address locations. The data structure includes representations of addressable linked tables (FIG. 3b). The representations are related to a binary search trie (FIG. 1) and each linked table (T) has at least one entry. Entries in a table span more than one level of the binary search trie. The spanning feature relates to compression of a binary search trie into a finite number of levels (and hence tables). The finite number is less than the number of levels in the binary search trie. Hence the search algorithm is restricted to a finite, and predetermined number of search accesses to the tables to obtain a best-match result.

Systems and methods are disclosed for routing callers to agents in a contact center, along with an intelligent routing system. An exemplary interface for use with a contact center includes a graphical user element for adjusting a time limit for a caller to be held before routed to an agent according to a pattern matching algorithm where the caller is compared to a set of agents via the pattern matching algorithm and routed to the best matching agent of the set of agents if available prior to the time limit and routed to the best matching agent of available agents if the time limit is exceeded. The interface may further display an estimated effect of the time limit on at least one outcome variable, which may include revenue generation, cost, customer satisfaction, first call resolution, cancellation, or other variable outputs from the pattern matching algorithm(s) of the system.

An image management method and system provides for storing, indexing, searching and/or retrieving image data. The content of an image collection is pre-processed to identify stable and repeatable keypoints for each image in the collection. Fingerprint information is computed from local groups of keypoints, and the resulting fingerprint information is stored in a compact fingerprint database. The computing of the fingerprint information is based on combinations of a subgroup of the strongest keypoints in an image, called anchor keypoints, in addition to a number of non-anchor keypoints. For each fingerprint in the compact fingerprint database, a sequence of candidate fingerprint combinations is generated and stored in a Fan Tree and/or hashtable and a corresponding fingerprint data structure. The sequence of fingerprint combinations allows several non-anchor keypoints to be missing, while still allowing the system and method to correctly detect fingerprints with high accuracy. A realtime image query is performed by identifying keypoints and computing fingerprints from the query image and matching the query fingerprints to the existing Fan Tree and/or hashtable fingerprint data to determine the best matching image or set of images within the collection. At least one target image is retrieved based on the determining operation, and the retrieved target image is displayed, printed, stored and/or transmitted.

A motion estimation and compensation device that avoids discrepancies in chrominance components which could be introduced in the process of motion vector estimation. The device has a motion vector estimator for finding motion vectors in given interlace-scanning chrominance-subsampled video signals. The estimator compares each candidate block in a reference picture with a target block in an original picture by using a sum of absolute differences (SAD) in luminance as similarity metric, chooses a best matching candidate block that minimizes the SAD, and determines its displacement relative to the target block. In this process, the estimator gives the SAD of each candidate block an offset determined from the vertical component of a corresponding motion vector, so as to avoid chrominance discrepancies. A motion compensator then produces a predicted picture using such motion vectors and calculates prediction error by subtracting the predicted picture from the original picture.

A mosaic image resembling a target image is composed of images from a data base. The target image is divided into regions of a specified size and shape, and the individual images from the data base are compared to each region to find the best matching tile. The comparison is performed by calculating a figure of visual difference between each tile and each region. The data base of tile images is created from raw source images using digital image processing, whereby multiple instances of each individual raw source image are produced. The tile images are organized by subject matter, and tile matching is performed such that all required subject matters are represented in the final mosaic. The digital image processing involves the adjustment of colour, brightness and contrast of tile images, as well as cropping. An image description index locates each image in the final mosaic.

The present invention allows for processing classification and/or security filtering rules by using bitmaps as representations. In one instance, the packet header involved in the packet classification is divided into sections (fields) such as 16 bit portions. Once, this is performed, a data lookup table is built for each of the packet header fields. In particular, a bitmap is created representing which filter rules match a certain packet header field value. The created data lookup tables, typically one for each packet header field, are merged to form intermediate level data lookup tables. The intermediate level data lookup tables are continuously merged until one final data lookup table is formed. The result of the final data lookup table represents all the possible packets to be classified. Thus, each final data entry has a bitmap representing the filtering rules that matches this entry. The bitmap can be used to selectively provide a desired result of the classification. For instance, a first matching rule is represented by the first bit set in the bitmap; the best matching rule is determined by processing the bitmap and selecting the most appropriate rule; and a complete set of rules that match is represented by the full bits set in the bitmap.

The present invention is a system and method to enable advertisement subsidized telecommunications services, which can deliver a campaign comprised of multiple advertisements, each advertisement using a different format (text, audio and video), to user's different terminals (cell phone, soft phone, PDA, PC, etc.) by using different telecommunications channels (text message, phone call, multimedia message, ring tone) simultaneously. The system is comprised of three layers: a campaign manager to manage campaign state, a service logic, which determines the user population and the channel best matching each advertisement's content and format, and a channel manager which emulates a confederation of service applications to simultaneously tap into various telecommunications channels through a Service Delivery Platform (SDP), or by directly attaching to the operator's network.

The invention discloses a self-adapting random resonance weak signal detection method, which achieves the self-adapting detection of weak periodic signal through combining a matching random resonance and an imposed signal induced random resonance. According to the theory of random resonance, firstly, numerical simulation is processed to receive correspondence between the noise intensity and the frequency of the best matching random resonance of a nonlinear bistable system in a range of extremely low frequency and under the condition of small-signal; and a high-frequency weak signal encountered in a project can be processed by using the change of normalized scale. For the detection of a weak signal with extremely low message-to-noise ratio and large noise intensity, the heights of voltage barriers of the bistable system can be changed by using the induced random resonance, thereby helping a weak eigenfrequency signal to fulfill the transition between voltage barriers, so that the bistable system reaches the random resonance state, thereby achieving the self-adapting detection of the weak periodic signal.

In low-voltage circuits, there is often insufficient voltage to use a current source to bias a transconductance amplifier stage. This is particularly true in mixers where a switching circuit must be stacked on top of the transconductance input stage. One way around this problem is to get "double-duty" out of the input differential pair, using it both for gain stage and for DC bias. This is done by AC coupling in a high-frequency input signal, while using a low-frequency, DC-coupled circuit to establish the proper bias level. One common technique is to use a simple current mirror scheme to establish the DC level. Proper biasing using this technique requires good matching of resistance. In some implementations of transconductance amplifiers, particularly those that use inductors as degeneration elements, series resistance of the inductor and interconnect resistance can cause significant errors in the bias current. This invention addresses that problem by using an operational amplifier with a current-sensing resistor and a low-frequency feedback loop to compensate automatically for any resistance errors. The operational amplifier drives the feedback voltage (generated in accordance with the sensed voltage at the current-sensing resistor and applied to one input of the operational amplifier) towards a reference voltage that is applied to the other input of the operational amplifier to bias the transistor(s) in the transconductance amplifier for desired operating conditions.

A network based interactive speech system responds in real-time to speech-based queries addressed to a set of topic entries. A best matching response is provided based on speech recognition processing and natural language processing performed on recognized speech utterances to identify a selected set of phrases related to the set of topic entries. Another routine converts the selected set of phrases into a search query suitable for identifying a first group of one or more topic entries corresponding to the speech-based query. The words/phrases can be assigned different weightings and can include entries which are not actually in the set of topic entries.

Material selection systems and methods for quickly identifying which existing material best matches a desired set of properties are described so that product development time can be minimized. Users may input the properties they desire in a material, which properties they want searched and scored, the acceptable values of those properties, and a priority value for each property. Preliminary matching materials may be retrieved from a materials database, and an index value for each property value may be calculated. One of four fuzzy membership functions may then be utilized to calculate a scored property value for each property of each material. The scored property value may then be weighted to account for the priority value assigned to each property. The results may then be sorted in descending order based on their overall match scores, and output to the user so the best matching material(s) is readily identifiable by the user.

The invention discloses a machine learning-based wireless sensing motion identification method which comprises the following steps: a step of data collection, a step of data denoising operation, a step of feature extraction and a step of SVM model training and identifying operation. During data collection operation, absolute value of a group of CSI data collected on each sampling point is obtained and is read into a 30*Nr*Nt matrix form. A PCA mode is mainly adopted for the data denoising operation. Feature extraction operation can be conducted based on discrete wavelet transformation. To make SVM model training convenient, training samples are subjected to Kmeans clustering operation via the machine learning-based wireless sensing motion identification method, n clustering centers can be used as word bags, and voting operation is performed based on feature vectors and best matching items of all the word bags; when the matrix form feature vectors are converted into column vectors, SVM model training can be realized conveniently. The machine learning-based wireless sensing motion identification method is a human body behavior identification method which is high in identification accuracy and high in robustness for environment change.

A method and system for characterizing features in a source multifeatured three-dimensional object, and for locating a best-matching three-dimensional object from a reference database of such objects by performing a viewpoint invariant search among the reference objects. The invention further includes the creation of a three-dimensional representation of the source object by deforming a reference object.

A three-dimensional helmet display of an augmented reality system is characterized by adopting an optical perspective type structure; being horizontally symmetrical by taking the nose part of a user as a central line; and being provided with an image source, a polarization azimuth adjustment mirror with adjustable azimuth, an optical imaging system and a polarization combination mirror in sequencefrom the external side to the human eye center along the optical axis direction, wherein the polarization combination mirror leads the light direction of the image source to be reflected and deflected by 90 degrees and then enter human eyes; the external light forms a 90-degree angle with the image source light, and then enters human eyes through the transmission of the polarization combination mirror after pass through the polarization mirror with the adjustable azimuth; two images forming a three-dimensional image pair are respectively transmitted to the image sources at the left side and the right side; the polarization azimuth adjustment mirror and the polarization combination mirror constitute an image source brightness adjustment unit; and the polarization mirror and the polarization combination mirror constitute an external light brightness adjustment unit. The invention can lead the virtual environment and the real environment of the three-dimensional helmet display to achievethe best matching state, eliminates the two-eye competition phenomenon, and is used for the augmented reality system.

The invention relates to a high-strength and high-toughness weather-proof hot-rolled steel plate comprising the chemical components in percentage by weight: (wt,%): 0.05%-0.10% of C, 0.10%-0.50% of Si, 1.00%-1.30% of Mn, less than or equal to 0.015% of P, less than or equal to 0.010% of S, 0.30%-0.70% of Cr, 0.10%-0.40% of Ni, 0.25%-0.50% of Cu, 0.020%-0.050% of Al, 0.010%-0.040% of Nb, 0.010%-0.030% of Ti and the balance Fe and unavoidable impurity elements. Meanwhile, the traditional hot strip rolling process is adopted, and a preparation method specifically comprises the steps: deep desulphurization of molten iron until S is less than or equal to 0.0050%, converter top and bottom combined blowing, alloy fine adjustment, LF secondary refining, slab continuous casting, heating, two-rack rough rolling and seven-rack finish rolling, laminar cooling and reeling. The steel plate disclosed by the invention has the mechanical properties that ReL is 450-500MPa, the Rm is greater than or equal to 550MPa, A is 25.0%-30.0%, the -60 DEG C longitudinal Charpy V-shaped gap impact power is greater than 300J, the high-strength and high-toughness weather-proof hot-rolled steel plate has good matching of strength and toughness, good cold bending forming and welding properties and favorable atmosphere corrosion resistance, and the corrosion resistance of the high-strength and high-toughness weather-proof hot-rolled steel plate is twice as high as that of Q345B steel.