488results about How to "Eliminate redundancy" patented technology

The present invention improves residue prediction by using MI even when the base layer MB is encoded in intra mode such as copying intra 4×4 mode of one 4×4 block in the base layer to multiple neighboring 4×4 blocks in the enhancement layer if the base layer resolution is lower than the enhancement layer resolution, using the intra 4×4 mode as intra 8×8 mode if the base layer resolution is lower than the enhancement layer resolution and the base layer resolution is half of the enhancement layer resolution in both dimensions, carrying out direct calculation of the base layer prediction residue used in RP, clipping of prediction residue for reducing memory requirement and tunneling of prediction residue in BLTP mode; and conditional coding of RP flag to save flag bits and reduce implementation complexity

A method of storing collected data on a wireless device. User interaction with a wireless device and/or the performance of the wireless device is monitored and data related thereto collected. The collected data may be structured into a tagged hierarchical structure comprising a plurality of events that are separate and independent from one another. Each event may describe a specific application with a plurality of attributes. The tagged hierarchical structure formed as a tree structure is translated into a syntax generic language. The result may be formed into a compact format using a zipped format and/or a binary-equivalent format and then stored and transmitted to a central location (e.g., a server) for statistical analysis processing. The server transforms the received data into expanded format and forms a hierarchical tree structure for each event and its attributes. The result is processed for producing a statistical analysis of the collected data.

Embodiments of the invention include first storage mediums having first storage characteristics for making up a first pool of capacity of a first tier of storage, and second storage mediums having second storage characteristics for making up a second pool of capacity of a second tier of storage. Free capacity of the first and second pools is shared between the first and second tiers of storage. When the first pool has an amount of free capacity available over a reserved amount of free capacity reserved for first tier data, a first quantity of second tier data is moved from the second tier to the first tier. In exemplary embodiments of the invention, the first and second storage mediums are contained within one or more thin provisioning storage systems, and data is moved between the first and second tiers by allocating thin provisioning chunks to the data being moved.

The radiation characteristics of an antenna are made configurable including in the antenna a plurality of radiating elements and associating to each of said radiating elements a respective chain for processing the signal in transmission and/or reception with a module for weighting digital signals capable of applying to a digital signal at least a respective weighting coefficient and an antenna conversion set interposed between the module for weighting digital signals and one of the radiating elements of the antenna. The antenna conversion set operates on a digital signal on the side of the signal weighting module and on an analogue signal distributed on the processing chains associated to each radiating element of the antenna propagates (in transmission and/or reception), while respective weight coefficients are applied to said digital signal weighting modules. The weighting coefficients determine the radiation diagram of the antenna.

A hybrid prediction system may aggregate electronic data to identify and initially predict an outcome of a future event and subsequently update the initial prediction. The system may include at least one processor and a memory. The processor may access data scraped from the Internet. The data may be associated with at least one future event. The processor may further store the scraped data, determine, from the scraped data, an initial prediction of the outcome of the at least one future event, generate, from the scraped data, an initial likelihood indication associated with the initial prediction, and transmit the initial prediction and the initial likelihood indication to a device associated with one or more users. The processor may further receive proprietary information, store the proprietary information, determine, using the scraped data and the proprietary information, a subsequent likelihood indication, and transmit the subsequent likelihood indication to the device.

A system and method for treating wastewater includes a treatment container for receiving and treating wastewater and a mixing/aeration system disposed in the treatment container. Wastewater is pumped under pressure from the treatment container through a solids/liquid separation system, preferably comprising multiple parallel membrane bioreactors, to separate the solids and liquids in the wastewater. Liquid retentate from the solids/liquid separation system is cycled back to the treatment container via the mixing/aeration system. The closed-loop system and method for solids/liquid separation and aeration/mixing provides for reduced equipment requirements and energy usage during operation.

The software of the present invention predicts the performance of a wireless location system, including its accuracy, availability, and coverage. The tool can determine if the deployed location sensors meet, exceed, or fall short of providing the expected coverage and performance. The tool allows the location system designer to eliminate redundancies if not all sensors are needed and propose additional sites where coverage holes are present. The software tool includes a graphical user interface for ease of use.

Computer-implemented systems, apparatus and methods for managing information, operations and functions in a complex medical environment and providing a command control center interface for receiving/sending/displaying data, relating to products, instructions, diagnosis, consultation, patient's information, supplies and their provision, registration, scheduling, updating and like operational functions and features, and updating on an ongoing basis to coordinate, control and synchronize necessary and/or desirable operations within the environment, whereby the “hospital of the future” is effectively facilitated with proficiency and efficiency in an accurate and reliable manner. Such systems may also include one or more client terminal devices in communication with a data interchange subsystem.

A patient-centric, community-based system and method that professionally and effectively manages and services all patient-pay receivables associated with an individual's healthcare. The system permits patients to charge all out-of-pocket expenses for medical goods or services from different providers to one convenient, Patient Account, thereby reducing patient/responsible party confusion and permitting a single monthly payment. The Patient Accounts are “owned” pro rata by the healthcare providers in accordance with the respective amounts owed to each. The system employs a method for applying payments from the patient/responsible party and/or other payors to providers based on specific contractual arrangements, and real-time reporting of Patient Accounts status/activity via secure, proprietary Internet access. By centralizing account management functions, each of the providers is spared the costs of establishing his/her/its own discrete, separate and redundant patient account, the periodic mailing of invoices, the processing of payments, the dunning of past due accounts, and the application to Medicare and Medicaid for reimbursement.

An information transmission source forms a transmission packet at a predetermined time unit into which a preamble is inserted and transmits it. The information reception target returns an acknowledge (ACK) packet or a not acknowledge (NACK) packet into which a preamble is inserted. A hidden terminal recognizes that the transmission path is used for data retransmission from when the NACK is received to when the next ACK is received to avoid collisions. Further, when there is transmission data at the information transmission source specified by a beacon signal, it is recognized that the transmission path is used until the next ACK is received. For example, in an ultra wide band communication method, access control is executed while avoiding collisions of communication communications and a retransmission control is executed.

A method for managing data and corresponding computer program are provided. The method includes providing a plurality of buckets, each associated with a corresponding scope of similarity metric, processing a first data container of a plurality of data containers to determine a corresponding similarity metric, comparing the similarity metric of the first data container with the scope of similarity metric of the plurality of buckets, assigning, if the similarity metric of the first data container matches the scope of similarity metric of any of the plurality of buckets and the corresponding bucket has sufficient available space, the first data container with the corresponding one of the plurality of buckets, creating, if either the similarity metric of the first data container does not match the scope of similarity metric of any of the plurality of buckets or a match is present but any of the corresponding buckets do not have sufficient available space, a new bucket for the plurality of buckets, and subsequently associating the first data container with the bucket; and compressing as a unit, when at least one condition is met, any of the plurality of data containers assigned by the assigning to a particular one of the plurality of buckets.

The invention discloses a bearing fault diagnosis method based on multi-feature manifold learning and a support vector machine, comprising the following steps: (1) collecting vibration acceleration signals of a rolling bearing at different speeds under all working conditions through an acceleration sensor as training samples; (2) extracting time domain, frequency domain and frequency domain feature parameters of the training samples; (3) carrying out manifold learning to get low-dimensional manifold structures; (4) collecting a vibration acceleration signal of a to-be-tested rolling bearing during rotation through an acceleration sensor as a test sample; (5) extracting time domain, frequency domain and frequency domain feature parameters of the test sample; (6) carrying out manifold learning on the test sample to get a low-dimensional manifold structure; and (7) using a support vector machine classification method to match the test sample with the training samples, and determining the working condition category to which the training sample matching the test sample most belongs as the working condition category of the test sample. Through the method, the accuracy and effectiveness of rolling bearing fault diagnosis are improved.

The invention discloses a network security situation awareness model and method based on an attack graph. The model comprises a data preprocessing module, an attack feature library construction module, an attack state identification module, a security situation evaluation module and a security situation prediction module. The method comprises: firstly, collecting data sets of different sources, and obtaining asset vulnerability threat data and asset attack threat data after preprocessing; further analyzing and training by utilizing the asset attack threat data and the principal component dataof the attack information, and establishing an attack feature library; matching the attack portrait, and determining the attack state of the current equipment; then, calculating a security situation value of the whole network by utilizing the asset attack threat data; and finally, predicting the next attack state through the attack and defense game matrix of the attack state diagram so as to predict the network security situation. A good situation awareness effect and a network security situation evaluation and prediction function are realized, and the model and the method have relatively goodpracticability, high efficiency and expansibility.

A gunshot detection system having one or more sensors detecting indoor shootings and reporting gunshot detection to a central monitoring system. Each sensor includes a microphone and comparison circuit for processing detected sounds and determining whether the sound is indicative of gunshot. If a gunshot is detected, the sensor reports the detection to nearby sensors and to the central system. The central system can interface with third party systems, such as law enforcement communication systems, to provide particularized information to assist first responding in dealing appropriately with situation.

The invention discloses a text classification method based on a local and global mutual attention mechanism, and the method comprises the following steps: obtaining text data, carrying out the preprocessing of the text data, and expressing text words through a pre-trained word vector; Capturing global long-term dependence of the text sequence by using a long-short-term memory network, and acquiring local semantic features of the text sequence by using a multi-scale convolutional neural network; Taking the global long-term dependency and the local semantic features as input of a local and global mutual attention mechanism to obtain weighted global long-term dependency and weighted local semantic features; Carrying out weighted pooling to obtain a final global representation vector and a final local representation vector; And inputting the vectors to a full connection layer to fuse the global representation vector and the local representation vector, and then inputting the vectors to a classification layer to classify. According to the method, global long-term dependency and local semantic features are captured in parallel, interaction between the two features is learned in an explicit mode, better text global and local feature representation is obtained, and the text classification precision is further improved.

This invention related to a method for computing the minimum edit distance, measured as the number of insertions plus the number of deletions, between two sequences of data, which runs in an amount of time that is nearly proportional to the size of the input data under many circumstances. Utilizing the A* (or A-star) search, the invention searches for the answer using a novel counting heuristic that gives a lower bound on the minimum edit distance for any given subproblem. In addition, regions over which the heuristic matches the maximum value of the answer are optimized by eliminating the search over redundant paths. The invention can also be used to produce the edit script. The invention can be modified for other types of comparison and pattern recognition.