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The present invention provides a method and apparatus for facilitating hot upgrades of software components within a telecommunications network device through the use of “signatures” generated by a signature generating program. After installation of a new software release within the network device, only those software components whose signatures do not match the signatures of corresponding and currently executing software components are upgraded. Signatures promote hot upgrades by identifying only those software components that need to be upgraded. Since signatures are automatically generated for each software component as part of putting together a new release a quick comparison of two signatures provides an accurate assurance that either the software component has changed or has not. Thus, signatures provide a quick, easy way to accurately determine the upgrade status of each software component.

The invention provides a network teaching method and a system. The system comprises multiple user terminals and a server. The user terminals communicate with the server via the network. The method comprises a data acquisition step, a synchronous display step, a real-time recording step and a broadcasting and replaying step. In the data acquisition step, image data, application data and / or audio data in the network teaching processes are acquired and are used for synchronous display and real-time recording. In the synchronous display step, the acquired data are automatically synchronously displayed or transmitted on student user terminals. In the real-time recording step, the acquired data are separately stored into a database, so users can download the data. In the broadcasting and replaying step, according to the users' requests, the recorded and stored data are transmitted to the users and are combined and redisplay the teaching processes on the user terminals.

The invention provides a network teaching method and system. Double identity verification of face recognition and voice recognition is realized, the voice signal collection accuracy in a teaching process, an oral training process, a test process and an examination process are scored and assessed by a plurality of models, so that the assessment accuracy is improved, the network teaching is more autonomous and effective, and particularly in reading and listening and recitation teaching, the authenticity and effectiveness of learning can be improved by these functions of the system. By adopting the method provided by the invention, the face recognition is combined with the voice recognition, the user identity is checked before an oral test or system login of the user, and the user can be better encouraged to carry out a human voice test in a use process.

Formed in a proxy server (CP) from the data output by a server application (SA) in response to a client (CA) inquiry is a message digest (MD) which is checked in said proxy server by comparison as to whether an identical message digest is already cached in the proxy server for said client. If so, a brief response message (HIT) is communicated by the proxy server to said client (CA) signalizing that the content can be found in the cache of a mobile proxy (MP) assigned to said client. If not, the complete content including the message digest serving as a key is communicated to the proxy of said client (CA) for caching there. Application in mobile data services requiring data transport via wireless networks.

An image search and retrieval system and method of operation within such a system are disclosed. The image search and retrieval system includes a search engine coupled to an image analyzer, an input system, an output system and an image database. The image search and retrieval system includes one or more feature modules which define particular regions of an image and particular measurements to make on pixels within the define image region as well as the measurements to make on neighboring pixels in neighboring image regions for a given application and communicate this application specific information to the image analyzer thereby allowing rapid comparisons of images.

Some embodiments provide a method for encoding a first set of pixels in a first image by reference to a second image in a video sequence. In a first search window within a second image, the method searches to identify a first particular portion in the second image that best matches the first set of pixels in the first image. In the first search window within the second image, the method identifies a first location corresponding to the first particular portion. In a second search window within the second image, the method then searches to identify a second particular portion in the second image that best matches the first set of pixels in the first image, where the second search window is defined about the first location.

A method for analyzing and validating clock integration properties in a circuit design is disclosed. A database of timing points that are clocked cell elements of the circuit design is generated. Next, a timing point frame showing the interaction of the clocked cell elements and the non-clocked cell elements is generated. The timing point frame graphically shows the timing network properties for the cell elements of the circuit design. A clock analysis view can be generated from the timing point frame for selected timing points. In this respect, the timing point frame shows timing points that meet a prescribed criteria (e.g., same clock domain). Therefore, the clock analysis view provides a graphical representation of timing and clock interactions for the circuit design.

A method for recognition of a handwritten character comprises the steps of determining a plurality of position features defining the handwritten character, and comparing the handwritten character to reference characters stored in a database in order to find the closest matching reference character. The step of comparing comprises the steps of computing a difference between one of the plurality of position features of the handwritten character and a corresponding position feature of one of the reference characters, determining, by lookup in a predefined table, a distance measure based on the computed difference and determining a distance measure for each of the plurality of position features of the handwritten character, and computing a cost function based on the determined distance measures. A device and a computer program for implementing the method are also described.

A method for switching vendors, including sending an invitation to a user to rate a first vendor in response to the user designating the first vendor as a payee, receiving a rating assigned to the first vendor, determining a second vendor as an alternative to the first vendor based on the rating being below a predefined threshold, sending information associated with the second vendor to the user, receiving a request from the user to switch from the first vendor to the second vendor, sending a cancellation notice to the first vendor in response to receiving the request, transmitting user information to a computer of the second vendor for setting up a new account, and charging the second vendor a fee for sending the information associated with the second vendor to the user.

A method for characterizing an anomaly in a material comprises (a) extracting contrast data; (b) measuring a contrast evolution; (c) filtering the contrast evolution; (d) measuring a peak amplitude of the contrast evolution; (d) determining a diameter and a depth of the anomaly, and (e) repeating the step of determining the diameter and the depth of the anomaly until a change in the estimate of the depth is less than a set value. The step of determining the diameter and the depth of the anomaly comprises estimating the depth using a diameter constant CD equal to one for the first iteration of determining the diameter and the depth; estimating the diameter; and comparing the estimate of the depth of the anomaly after each iteration of estimating to the prior estimate of the depth to calculate the change in the estimate of the depth of the anomaly.

Packets are classified by content across a packet flow by sequencing packets according to packet flows through a content engine. A sequencer tracks packet flows, sending and buffering out-of-order packets to have missing packets resent. A regular expression engine determines matches of regular expressions and subexpressions with regular expressions encoded as non-deterministic finite automata with field programmable gate arrays and subexpression matches computed with a hash and determined by a hash look-up table. A tag module establishes a classification tag for a packet based on the packet's content by matching the tag with the regular expression and subexpressions of the packet.

The invention provides a synchronous display method and device of images. Compression treatment is carried out through periodically capturing screen contents; the transmission capability can be realized at any time; the transmission effect is improved; and the transmission time can be shortened. The captured image contents can be quickly compared according to the feature values analyzed in the image compression process; the images are judged intelligently synchronously; the images are transmitted automatically synchronously without manual operation; the screen contents are prevented from being transmitted repeatedly; the storage pressure of a student user terminal is relieved; comprehensiveness of the contents is ensured; the screen image contents are marked and judged, the review efficiency of a student is improved, when the student reviews, the student can directly view the last few pages of blackboard-writings.

The invention provides a network teaching method and system with a voice assessment function. According to the voice assessment method provided by the invention, a phoneme state of a voice is used for replacing a multi-Gaussian mixture model trained by a conventional Mel-frequency cepstral coefficient (MFCC), and a posterior probability and a zero-order Baum-Welch statistical magnitude are calculated according to the feature. A voice feature based on phonemes is extracted through a multi-language phoneme identifier. A feature based on multi-language extraction is complementary during catching of non-native pronunciation information, and a feature based on phoneme duration is effective in automatic native accent assessment. Finally, a fusion system is provided in the method, so that Spearman relevant coefficients of 0.5706 and 0.6089 are reached on a development set and a test set. As indicated by the relevant coefficients, the method provided by the invention is very accurate and effective in oral speech assessment.

A self-service car returning method in the car sharing process and a car sharing method based on self-service car returning belong to the field of car sharing. The methods are disclosed in order to solve the problem that the procedure of car returning is complicated for car sharing as a car user needs to return a car to a car owner and the car owner needs to check the car face to face. The self-service car returning method is characterized by comprising the following steps: S1, a car user parks a car at an agreed location at the end of car sharing; the car user submits a car returning application through the APP client thereof, and takes an image of the car using an APP and uploads the image to a cloud platform server as the car checking basis for car returning, and the cloud platform server automatically adds a timestamp when the APP client of the car user uploads the image, carries out backup and image processing and comparing, makes out new damaged points generated after the car user picks up the car, and pushes the new damaged points to the APP client of a car sharer; and S3, the car sharer receives the car returning application, checks the car based on the image pushed by the APP client of the car user, and / or checks the car at the car location, and / or does not check the car.

The invention discloses an on-line continuous environmental air quality automatic monitoring base station, an automatic monitoring network system composed of a plurality of non-point source grid base stations and a data processing center, and a method of tracing with the system. The base station consists of an automatic sampling module, a sensor module and a meteorological monitoring module that are connected to a data transmission module. The data processing center monitoring the network system is equipped with databases, terrain data and a meteorological diffusion model. Once sampling occurs to the base station disposed in a protection zone of the system due to the deterioration of air quality, the data processing center runs the meteorological diffusion model according to real time data, calculates the occurring source that can affect the protection zone in the monitoring zone, and starts the base station set nearby the occurring source to perform sampling, a fast gas phase electronic nose is utilized to perform gas sample fingerprint analysis on the collected sample and compare fingerprint technology similarity, and the source can be traced according to the similarity. The system and the method have the characteristics of high precision, fast analysis speed and real-time grabbing of air samples, and provide sample guarantee for tracing positioning.

Database systems and techniques are disclosed for accessing data stores of digital medical images, processing the digital images, and displaying the digital images to efficiently provide information in an interactive user interface. The disclosure may advantageously provide efficient and rapid dynamic interaction with digital images accessed from one or more databases to enable user detection of differences between related digital images. Interactive user interfaces may be dynamically updated to provide rapid comparison of digital images. Further, digital images from multiple data sources may be automatically sorted by the system according to attributes associated with the images and rules and / or preferences of the user. In an embodiment the user may select a digital image from a first data source, and the system automatically determines and displays one or more comparison images from other image data sources. Images may additionally be automatically registered and / or matched to enable more efficient comparison and evaluation.

An image search and retrieval system and method of operation within such a system are disclosed. The image search and retrieval system includes a search engine coupled to an image analyzer, an input system, an output system and an image database. The image search and retrieval system includes one or more feature modules which define particular regions of an image and particular measurements to make on pixels within the define image region as well as the measurements to make on neighboring pixels in neighboring image regions for a given application and communicate this application specific information to the image analyzer thereby allowing rapid comparisons of images.

Method and systems for search and retrieval of images with an image processing system is disclosed. With an input interface, selection of a plurality of images to use in a search query is accepted. The plurality of images of the search query are processed with the image processing system. A subset of the plurality of target images that are similar to the plurality of images is determined. With an output interface, the subset of the plurality of target images as a result from the search query is output.

The invention discloses a method and system for updating real-time traffic information. The method comprises the following steps: collecting and storing real-time traffic information; differentially comparing the collected real-time traffic information with the previously stored real-time traffic information to obtain changed traffic information; and generating updated real-time traffic information in accordance with the changed traffic information. The system and method provided by the invention can be used to realize incremental update of the real-time traffic information and blocked raster maps, thus greatly improving the update efficiency, shortening the update time of real-time traffic network maps, relieving server performances, reducing the update cost, and solving the technical problems of high cost, low efficiency and the like in the prior art.

The invention discloses a payment authentication method of a server. The server can be connected with a payment terminal and multiple mobile terminals through a network. The method comprises the steps that a payment request and an iris template, scanned by the payment terminal, of a user are received from the payment terminal; position information of the multiple mobile terminals and position information of the payment terminal are acquired; at least one mobile terminal within a preset distance range of the payment terminal is selected; at least one first registered iris template set, associated with the at least one mobile terminal, of the user is acquired; whether registered iris templates consistent with the scanned iris template of the user exist in the first registered iris template set is queried; if yes, the identity of the user is authenticated, and the payment terminal is informed that the authentication succeeds.

This invention determines whether two circuit models have equivalent functionality. The method allows very fast comparison between two circuits taking advantage of previous work done. Whenever an apparatus associated with the method solves a problem, it stores information that learned during the solution of the problem, in a database. If the apparatus is presented with a new problem of determining equivalence between two portions of two circuits, it checks if it has seen sub-circuits similar to either of the two pieces before. If it has, it uses the knowledge cached during the previous checks to make the new check easier. Checking equivalence of two circuit models involves checking equivalence of many pairs of sub-parts. Even when the subsequent comparisons involve different circuits, it is possible to take advantage of the information acquired during previous equivalence checks.

The invention relates to the field of community management, and particularly relates to a deep learning based smart safe community management system. The deep learning based smart safe community management system comprises a video monitoring module, a face recognition module, a vehicle information recognition module, a personnel hotspot distribution module, a vehicle trajectory analysis module, GIS electronic map and a big data cloud platform, and is characterized in that the video monitoring module, the face recognition module, the vehicle information recognition module, the personnel hotspot distribution module, the vehicle trajectory analysis module and the GIS electronic map are connected with the big data cloud platform through a network framework VPN channel. The beneficial effects are that the smart safe community management system combines a high-definition camera, extracts effective structured information from unstructured video information based on a deep learning algorithm, accurately recognizes face and vehicle information characteristics, quickly compares the face and vehicle information characteristics, integrates and links systems of a community and improves the management decision-making ability.

The invention discloses a detection method for rapid change in a multi-source navigation electronic map vector road network. The detection method comprises the following steps: I. reading two groups of road networks to be matched, wherein one group is marked as a reference road network and the other group is marked as a target road network, acquiring topological relation between road network node and arc, and constructing a spatial index of node elements; II. for each road node in the reference road network, searching candidate matching node from the target road network, determining matching relation of the road node, and determining corresponding relation of road arcs by calculating an included angle cosine matrix; III. depending on the obtained node matching relation and arc corresponding relation, finally obtaining possible m-to-n matching relation between the road arcs, wherein if the matching relation can exist, both m and n are not changed; and IV. on the basis of result of the determined road arc matching relation, further deducing and judging possible matching relation. Through the detection method disclosed by the invention, a matching result with relatively high accuracy rate is obtained, and efficiency is comparatively high as well.

The invention discloses a modular animal digestive tract in-vitro simulation system and a human intestinal tract simulation method thereof. The modular animal digestive tract in-vitro simulation system comprises at least one animal digestive tract in-vitro simulation unit. Each animal digestive tract in-vitro simulation unit includes a frame, a reaction tank used for simulating a specific digestive tract cavity, and multiple function modules which can complete a specific and relatively independent task of intestinal tract simulation. Each frame is provided with multiple installation positions for installing the function modules and the reaction tank, and the function modules and the reaction tank are installed on the frame detachably. Each function module includes a sensor or a moving part, or includes both the sensor and the moving part. Each function module uses a separate Arduino nano 328 as a control chip, and is connected with an upper computer through a USB serial port. Each frame is equipped with a USB active hub. A USB is responsible for power supply to single chip microcomputers in the function modules and instruction transmission between upper and lower computers. Multiple function modules are integrated in one frame, so that the lab space is saved, the modules can be replaced rapidly, and a faulty module can be checked and replaced without shutdown.

A method for the installation of a program component on a processing unit, which is used to ensure the compatibility of software units and components in embedded systems in particular, which may be updated via a downloading procedure. For this purpose, it is checked before the installation whether the program component to be installed is compatible with a program component already provided on the processing unit. An installation is only performed in the event of a positive check of the compatibility.

The invention relates to a self-service car-returning method during a car sharing process based on appointed positions and a car-sharing method based on self-service car-returning, pertaining to the car sharing field. Therefore, car users do not need to meet with car owners to return cars so that complicated procedures are avoided during car sharing. The technical key points are in that step 2, a car user uses his APP client-side to submit a car-returning application, takes a photo of a car with the APP and uploads to a cloud platform server as the evidence for car validation during car returning, the cloud platform server automatically adds timestamps when the car user uploads the photo on the APP client-side and back up, process images, makes comparisons in order to label new damage points when the car user takes a car and feeds the APP client-side to a car sharer; step 3, the car sharer obtains a car-returning request and validates the car where it is located or not by an image feeding to the APP client-side of the car user.

The embodiment of the invention provides a database table structure synchronization method and device, an electronic device and a storage medium. Difference comparison results and sql sentences can beautomatically generated according to obtained database table information. The database table structure synchronization method comprises the steps that table structure information of a source databaseand a target database is obtained; according to the table structure information, difference comparison is automatically conducted on the source database and the target database according to the tablestructure information; sql sentences are automatically generated according to according to the difference comparison results. By adopting the above steps, the database table structure synchronizationefficiency of databases can be remarkably improved, and the error rate of sql sentence compiling can be reduced.

A method for characterizing a sample containing at least one compound, preferably a biological sample comprising at least one metabolite, is proposed. In a first process step, a three-dimensional first set of data is generated by analyzing the sample by using at least one time resolved separation technique (214) and at least mass one resolved separation technique (216). The set of data comprises at least one signal I as a function of a mass variable over a first range of measurement (420) and of a time variable over a second range of measurement (422). In a second process step, the first range of measurement (420) is divided into at least two mass variable intervals (424). For each mass variable interval (424), an extracted signal is selected, wherein the extracted signal is a function of the time variable. In a third process step, the second range of measurement (422) is divided into at least one time variable interval (426). At least one characteristic value is selected for each time variable interval (426) and for each extracted signal. Thus, a characteristic sample profile is generated, which comprises the at least one characteristic value as a function of the respective time variable interval (426) and of the respective mass variable interval (424).