223results about How to "Raise the importance" patented technology

A group communication method for a wireless information device, in which the method comprises the step of using an application independent object which defines or references members of a group in a way that enables communication to take place between two or more members of the group. The group object defines solely the identities of members of a group: as such, it is application (and hence also content) independent. This means that a group created in one application (e.g. a diary / agenda application could use that same group as the recipient list for an invitation to a meeting); a voice application could use that same group to allow a voice call to be conferenced across to all group members. Similarly, data specifically created for one group and in one application can be re-used in a different application and the data viewed appropriately for that different application.

Importance classes are assigned to electronic messages, by identifying the sender and recipient of an electronic message, determining a relative organizational distance between the sender and the recipient, and assigning the electronic message an importance class, according to the relative organizational distance between the sender and the recipient. The importance setting is further weighted by content criteria and a plurality of rules formed by a machine learning algorithm.

An analytical device for predicting a subject's whole blood analyte concentration based on the subject's interstitial fluid (ISF) analyte concentration includes an ISF sampling module, an analysis module and a prediction module. The ISF sampling module is configured to sequentially extract a plurality of ISF samples from a subject. The analysis module is configured to sequentially determining an ISF analyte concentration (e.g., ISF glucose concentration) in each of the ISF samples, resulting in a series of ISF analyte concentrations. The prediction module is configured for storing the series of ISF analyte concentrations and predicting the subject's whole blood analyte concentration based on the series by performing at least one algorithm. A method for predicting a subject's whole blood analyte concentration based on the subject's interstitial fluid analyte concentration includes extracting a plurality of interstitial fluid (ISF) samples from a subject in a sequential manner and sequentially determining an ISF analyte concentration in each of the plurality of ISF samples to create a series of ISF analyte concentrations. The subject's blood analyte concentration is then predicted based on the series of ISF analyte concentrations by performing at least one algorithm.

A data storage and retrieval device and method is disclosed. The device includes at least one magnetic storage medium configured to store target data and at least one re-configurable logic device comprising an FPGA coupled to the at least one magnetic storage medium and configured to read a continuous stream of target data therefrom, having been configured with a template or as otherwise desired to fit the type of search and data being searched. The reconfigurable logic device is configured to receive at least one search inquiry in the form of a data key and to determine a match between the data key and the target data as it is being read from the at least one magnetic storage medium. This device and method can perform a variety of searches on the target data including without limitation exact and approximate match searches, sequence match searches, image match searches and data reduction searches. This device and method may be provided as part of a stand-alone computer system, embodied in a network attached storage device, or can otherwise be provided as part of a computer LAN or WAN.

Personnel and vehicle collision avoidance devices configured to be used in collision avoidance systems are disclosed. The collision avoidance devices are configured to be aware of the context (e.g. position, location, state, status, etc.) in which the person or vehicle is. This awareness allows the devices to avoid transmitting non-hazardous proximity warnings when the context does not warrant the transmission of proximity warnings, and to transmit special critical proximity warnings when the context warrants the transmission of such proximity warnings. To detect the context, the devices comprise one or more context-awareness mechanisms (e.g. user input interfaces, sensors, infra-red receivers, etc.), each of which being capable of detecting one or more particular contexts. A collision avoidance system comprising these personnel and vehicle collision avoidance devices is also presented.

A method and device are disclosed for an associative and approximate, analog or digital scanning of databases that allows for the asynchronous accessing of data from a mass storage medium. The invention includes providing dedicated analog and digital circuitry and decision logic at the mass storage medium level for determining a key identifying the data of interest, continuously comparing the key to a signal generated from a reading of the data from the mass storage medium with an approximate or exact matching circuit to determine a pattern match, determining a correlation value between the key and the data as it is read in a continuous fashion, and determining a match based upon a preselected threshold value for the correlation value. The pattern matching technique eliminates any need to compare data based on its intrinsic structure or value, and instead is based on an analog or digital pattern. The key and data may be either analog or digital. This device and method may be provided as part of a stand-alone computer system, embodied in a network attached storage device, or can otherwise be provided as part of a computer LAN or WAN.

A method and apparatus are disclosed for using decision logic deployed on a reconfigurable logic device to process a stream of financial information at hardware speeds. The decision logic can be configured to perform data reduction operations on the financial information stream. Examples of such data reductions operations include data processing operations to compute a latest stock price, a minimum stock price, and a maximum stock price.

A method and device are disclosed for an associative and approximate, analog or digital scanning of databases that allows for the asynchronous accessing of data from a mass storage medium. The invention includes providing dedicated analog and digital circuitry and decision logic at the mass storage medium level for determining a key identifying the data of interest, continuously comparing the key to a signal generated from a reading of the data from the mass storage medium with an approximate or exact matching circuit to determine a pattern match, determining a correlation value between the key and the data as it is read in a continuous fashion, and determining a match based upon a preselected threshold value for the correlation value. The pattern matching technique eliminates any need to compare data based on its intrinsic structure or value, and instead is based on an analog or digital pattern. The key and data may be either analog or digital. This device and method may be provided as part of a stand-alone computer system, embodied in a network attached storage device, or can otherwise be provided as part of a computer LAN or WAN.

A calendaring method and system providing dynamic scheduling services by synchronizing calendars in a confidential and anonymous manner without the need for sharing calendar content with others. One can divide their calendar into time cubes chronologically, define each time cube according to availability states, allow a user to send data representing an invitation to an event to one or more contacts for approval, and when an invitation of one or more contacts has been approved, opening a secure “private room” in a meeting and event coordinating server adapted for synchronizing between users' calendars in a confidential and anonymous manner. Also a meeting coordinating server adapted for synchronizing between users' calendars via a secure “private room” without using any calendaring content except the availability status of each user, and according to a level of importance, and a dedicated application adapted for running / executing on a user's terminal.

A method and system of wireless communication is provided which involves inputting information bits, wherein certain bits have higher importance level than other bits, and applying unequal protection to the bits at different importance levels. As such, important bits are provided with more protection for transmission and error recovery. Applying unequal protection involves using skewed constellations such that more important bits are provided with more error recovery protection.

Duplicate hands are dealt in a remote game of poker or other card game of chance. Simulated cards or game pieces are dealt to players with the order of suits changed for each player. A map is maintained in a computer memory between a reference set of indices corresponding to card suits, and differently-ordered sets of playing suits for dealing in the game. A reference game is maintained at a server computer to track game status according to the reference set of indices. Game play is translated between the reference game and individual playing suits so that players are unaware of the order of suits used for other players.

The present invention relates to rapid dissolve thin film drug delivery compositions for the oral administration of active components. The active components are provided as taste-masked or controlled-release coated particles uniformly distributed throughout the film composition. The compositions may be formed by wet casting methods, where the film is cast and controllably dried, or alternatively by an extrusion method.

The invention discloses an NLP-based electronic medical record data quality management method. Electronic medical record operation and quality management operation are integrated in an intelligent mode, the quality requirements of the electronic medical record are converted to quality management knowledge, in match with electronic medical record ontology knowledge, a method of interaction operation of manual audit and intelligent audit is adopted, and quality check is carried out. The method particularly comprises the following steps of (1) preparation, (2) quality problem recognition, (3) quality problem evaluation, (4) quality problem monitoring and (5) quality report generation. Automatic and intelligent electronic medical record quality control is realized by introducing technologies such as an ontology and an NLP, the shortcomings of the existing manual quality audit are overcome, quality check is carried out on the electronic medical record in match with the ontology knowledge, the electronic medical record quality problem is thus found out, the efficiency is improved, and the generated result is more professional, accurate, objective, fair and just.

The present invention relates to rapid dissolve thin film drug delivery compositions for the oral administration of active components. The active components are provided as taste-masked or controlled-release coated particles uniformly distributed throughout the film composition. The compositions may be formed by wet casting methods, where the film is cast and controllably dried, or alternatively by an extrusion method.

Proposed is a mobile automotive car system, and method thereof, for a dynamic, telematics-based connection search engine and telematics data aggregator, wherein risk-transfer profiles are captured and categorized in a results list from a plurality of first risk-transfer systems based on dynamically generated driving score parameters by means of appropriately triggered automotive data. As a variant, during a predefined trial period, the automotive and driving behavior data can be collected, which are transmitted together with the generated driving score parameters to multiple automated first risk-transfer systems for quotation. The user is able to dynamically select the best-fitting first risk-transfer system for risk-transfer by means of the results list, which is provided and updated in real-time for display to and selection by a user of a mobile telecommunication apparatus by means of a mobile telematics application of the mobile telecommunications apparatus.

The invention relates to a doctor-patient remote alternation platform and a remote alternation method, comprising: a computer system at a server end, a microcomputer device at a medical referral centre institution end, a microcomputer device at a medical referral application end, a microcomputer device at a medical expert end, which are in a wide area network and realize network connection, thereby realizing facial transmission in a broadcasting mode, medical image of real-time transmission, remote control automatic microscope platform, and alternation speech communication is present on the basis of sharing real-time medical image. Three perfect remote medical solution with different applications are realized, including a pathology remote consultation solution, a pathology remote medical education solutionand a pathology remote medical communication solution.

A telematics system and method thereof with mobile telematics devices associated with a plurality of motor vehicles. The telematics devices include one or more wireless connections or wired connections, and a plurality of interfaces to connect with at least one of a data transmission bus of a motor vehicle, and / or a plurality of interfaces to connect with sensors and / or measuring devices and / or speakers and / or microphones. To provide a wireless connection, at least one of the mobile telematics devices acts as a wireless node within a corresponding data transmission network by way of antenna connections of the mobile telematics device. At least one of the mobile telematics devices is connected to an on-board diagnostic system (OBD) and / or an in-car interactive device and / or a monitoring cellular mobile node application, and wherein at least one of the mobile telematics devices capture usage-based and / or user-based telematics data of a motor vehicle and / or user.

Proposed is a OEM-linked, telematics-based system and platform (1) for score-driven operations associated with motor vehicles (41, . . . , 45) or transportation means of passengers or goods and based on a dynamic, telematics-based data aggregation, and method thereof. The telematics-based system (1) comprises vehicle embedded telematics devices (OEM line fitted) (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the vehicle embedded telematics devices (OEM line fitted) (411, . . . , 415) comprise a wireless connection (42101-42108) to a central, expert-system based circuit (11). The telematics devices (411, . . . , 415) are connected via interfaces (421, . . . , 425) to the sensors and / or measuring devices (401, . . . , 405) and / or an on-board diagnostic system (431, . . . , 435) and / or an in-car interactive device (441, . . . , 445), wherein the telematics devices (411, . . . , 415) capture usage-based (31) and / or user-based (32) and / or operational (33) telematics data (3) of the motor vehicle (41, . . . , 45) and / or user (321, 322, 323). In response to an emitted shadow request (109) of a central, expert-system based circuit (10) of system (1) associated with a second risk-transfer system, individualized risk-transfer profiles (114) based upon the dynamically generated variable scoring parameters (1011, . . . , 1013) are transmitted from a first risk-transfer systems (11) to the corresponding motor vehicle (41, . . . , 45) and issued by means of a dashboard (461, . . . , 465) of the motor vehicle (41, . . . , 45) for selection by the driver of the motor vehicles (41, . . . , 45). In return of issuing an individualized risk-transfer profile (114) over said dashboard (461, . . . , 465), payment-transfer parameters are transmitted from the first risk-transfer system (11) to the OEM of the OEM-linked, telematics-based system and platform (1).

A compressing encoding and decoding method which includes the following: encode the video compressed signals with the programs, discrete cosine transform DCT; transform and quantitate; set the channel buffer storage before the encoding bit flow gets into the channel; the buffer storage must have a control mechanism; movement estimate; the position excursion is described by the movement vector, and a movement vector represents the displacement in the two actinic and vertical directions; as movement estimating, the P frame image uses the former most recent decoded I frame or P frame as the referenced image called the forward forecast; the movement compensation; the movement vector calculated by the movement estimate moves the macro piece in the referenced image to the corresponding position in the actinic and vertical direction, then namely produce the forecast to the compressed image; and search and calculate the subpels; the quantitation, storage and movement search after the sampling signals are made the discrete cosine transform DCT transform are all completed in the frequency field. The video encoder finishes all the calculation in the frequency field. The compressed rate is high, and the calculating quantity is small.

A network management system and method comprising a network device and a managing apparatus that manages the network device. The managing apparatus has an event issuing control condition decision unit that determines the event issuing control condition of the network device according to the event processing capability of the managing apparatus, and a notifying unit that notifies the event issuing control conditions to the network device. The network device performs the event issuing control according to the event issuing control condition notified from the managing apparatus.

The invention discloses a multi-target tracking method for a passive sensor based on particle filtering, which belongs to the technical field of guidance and mainly solves the problems of easy divergent tracking and inaccurate target state estimation in the traditional multi-target tracking method. The method optimizes distribution of multi-target samples through particle swarm optimization and sample mixing sampling algorithms and tracks the multi-target combined with a joint probability data association algorithm. The method comprises the following steps of: firstly, optimizing the distribution of multi-target joint samples by utilizing the particle swarm optimization algorithm so that the multi-target joint samples are gathered in a high likelihood region with a bigger probability of occurrence of a real target; secondly, calculating an associated probability between the targets and observation and the posterior probability distribution of the targets by utilizing the samples; and finally, decomposing a joint sample weight into the corresponding target sample in a likelihood way according to each target sample in the re-sampling process, and independently re-sampling each target according to the decomposed weight, and further optimizing the distribution of the target sample so as to improve the precision of target tracking.

The invention provides an e-commerce search scoring and ranking method. The method includes the steps of 1 building a keyword lexicon of e-commerce platform commodities, 2 calculating net scores of significance factors of the commodities, 3 extracting attribute information in the commodities and storing the attribute information into indexes, 4 building series query blocks according to relevance and significance, 5 selecting corresponding search results according to paging parameters and conducting ranking. According to the e-commerce search scoring and ranking method, according to the characteristics of e-commerce search, central keywords of the commodities are recognized, and preferential matching is executed during query; after query and search keywords input by a user are received, semantic analysis is conducted, and query statements of different relevance and significance are built due to the fact that query domains are different and indexes such as commodity page view are different. When the user searches for commodities, different queries are executed according to difference of query relevance and significance, and therefore search results are returned rapidly.

A toss game. The game has two casings which sit one within the other. Each casing has a playing surface. The playing surfaces of each casing have groups of toss targets. Correlated to each of the groups of toss targets are groups of scoring indicia. Each target surface is maintainable above a ground surface location. During play the casings are positioned an operating distance away from one another. The casings contain storage space for game components. The casings also have carrying handles. The game components include offensive scoring components and defensive components.

The data storage media comprises, in a preferred embodiment, a homogenous or non-homogenous plastic substrate that can be formed in situ with the desired surface features disposed thereon on one or both sides, a data storage layer such as a magneto-optic material also on one or both sides, and an optional protective, dielectric, and / or reflective layers. The substrate can have a substantially homogenous, tapered, concave, or convex geometry, with various types and geometries of reinforcement employed to increase stiffness without adversely effecting surface integrity and smoothness.

The invention discloses a width transfer learning network and a rolling bearing fault diagnosis method based on the same, and belongs to the technical field of bearing fault diagnosis. The invention provides a novel width transfer learning network and a rolling bearing intelligent diagnosis method based on the same, and aims to solve the problems of scarcity of vibration data with mark informationof a rolling bearing under a variable load, large distribution difference between source domain data and target domain data in the same state, unbalanced distribution of multi-state data and low diagnosis accuracy and model training efficiency. According to the invention, a width learning system is utilized to extract features of source domain data and target domain data and construct a sample set, and on the basis, a balanced distribution adaptation method in transfer learning is adopted to reduce the difference between a source domain and a target domain. A chicken swarm algorithm is introduced to optimize width transfer learning network parameters and establishing a width transfer learning network model. The proposed network model is applied to rolling bearing fault intelligent diagnosis under the variable load, and an experimental result verifies the high efficiency and accuracy of the proposed method.

Autonomous link discovery specifies a method and associated procedures that automatically discover various levels of transmission links and paths between transport network elements residing in the transport plane of communications networks. Unlike more traditional centralized polling techniques rooted in a management plane, autonomous link discovery procedures are rooted in and triggered by network elements composing the transport plane. As such, autonomous link discovery procedures may be event driven and execute in a coordinated, distributed fashion to automatically detect new link connectivity associations and correlate link endpoint attributes between these network elements. Once successful link correlations have been determined, autonomous notifications of these correlated link associations are sent to management elements and / or control elements residing in their respective management and control plane domains.

The invention discloses a deep neural network training method, belongs to the technical field of computers, and is used for solving the problem of relatively low performance of a trained neural network in a complex scene in the prior art. The method comprises the following steps: obtaining a plurality of training samples provided with preset category labels, and training a neural network model based on the plurality of training samples; wherein the loss function of the neural network model is used for carrying out weighting operation according to a first weight value in direct proportion to the distinguishing difficulty of each training sample, and determining the loss value of the neural network model. According to the deep neural network training method disclosed by the embodiment of theinvention, the importance of the training samples with higher difficulty in distinguishing in the training samples is adaptively improved, so that the samples with higher difficulty in distinguishingare prevented from being mistakenly classified by the neural network obtained by training, and the performance of the neural network is improved.

The invention discloses a real-time interactive remote medicine system. The real-time interactive remote medicine system comprises an inquiring end, at least one expert end, a data capture repeater component, a network security transmission component, a data transit server component, a real-time behavior control component and a remote medicine control server. In addition, the invention further discloses a real-time interactive remote medicine method based on the real-time interactive remote medicine system. By the real-time interactive remote medicine system and the real-time interactive remote medicine method, real-time medicine synchronization of two-way audio and video communication on both sides can be realized, relevant data information can be subjected to remote checking and real-time transmission, and the interactive audio and video communication can be realized on the basis of sharing of real-time data information; for some local key data information, a nondestructive checking mode can be specified through the expert end, so that the key data information is ensured not to be lost in Internet applications, accuracy of a remote medicine mode is guaranteed, and possibility of medicine errors is avoided.

The invention discloses a method for upgrading a terminal through a wireless local area network (WIFI), and the method comprises the following steps: connecting a WIFI terminal with an upgrading server through the WIFI; and downloading contents which need to be upgraded into a cache, carrying out software upgrading after completing the download. The invention further discloses a system for upgrading the terminal through the WIFI, and the adoption of the method and the system can get rid of the dependence on a data download line of a universal serial bus (USB) during the process of upgrading the WIFI terminal, realize automatic upgrading and simultaneously carry out rapid batch upgrading.