160results about How to "Resolve differences" patented technology

This invention allows keyword searches in both structured and unstructured databases, and across multiple databases of different vendors. An index database is created comprising word occurrences and table relationship information. In the case of unstructured databases with no predetermined schema, the relationship between different tables is derived through propagative n-level indexing and data is then populated in index tables. A database adapter enables indexing and searching across multi-vendor databases, which resolves discrepancies across different database access methodologies. Given a set of keyword inputs, the rows containing the search words and all the related rows are searched using word occurrences and relationship information.

Transactional database replication techniques are disclosed that do not require altering of the database management system implementation. A replicator module includes a dynamic membership manager, which is configured to manage the persistent membership of a coordination group. The persistent membership can be, for example, a durable set of sites that can replicate changes amongst themselves. Changes from sites not in the persistent membership are discarded. The set of recovered members is a subset of the persistent membership. The persistent membership changes incrementally by either removing or adding members. Failed members may still be part of the persistent membership. The dynamic membership manager module manages the modification of the persistent membership, initialization of replicas, and propagation of membership information.

The invention requests for the protection of a grid heterogeneous data integrating method based on SOA, which relates to a software system technology. On the basis of service-oriented basic thought, a heterogeneous data integrating framework and a method which are based on grid service are provided. The method can transparently access heterogeneous data and enable each layer of the heterogeneous data integrating framework to have low coupling performance. The heterogeneous data integrating framework is combined with the MVC flow chart of struts to develop an information management system (IMS) which can not only ensure the flexible and dynamic change of data sources but also enable users to obtain a response in time. The grid heterogeneous data integrating method based on SOA can meet the requirements of the prior information management system, needs lower hardware cost, and can query mass heterogeneous data. The round-trip time, the CPU occupancy, and the like needed by the grid heterogeneous data integrating method for accessing a database are superior to those of the prior data integrating method.

The invention relates to state-of-charge estimation method and system for compensating non-smooth hysteresis in power batteries. The method includes: firstly, acquiring battery output voltage and current, establishing a neural network OCV (k), (open circuit voltage) (k), prediction model according to the relation of parameters obtained by a battery equivalent circuit model, solving the parameters, and estimating OCV (k) online; and secondly, serially connecting an SDH (simple dynamic hysteresis) model with an RBF2 (radial basic function 2) to form a dynamic hysteresis hybrid model. The SDH model using the OCV (k) obtained in the first step as input outputs y(k), OCV (k) and OCV (k-1); the RBF2 using the y(k), the OCV (k) and the OCV (k-1) as input is weighted to learn so as to indirectly adjust parameters of the SDH model; approximately actual complex hysteresis relation is obtained; online-estimated SOC (k), (state of charge) (k), is output finally. The system comprises a microprocessor and other parts installed on a battery circuit, such as current and voltage sensors, stores a program executing the method, and obtains an SOC (k) estimate. Non-smooth hysteresis in power batteries is compensated by the aid of a neural network, and precision in online estimation of the SOC (k) is increased.

An echo cancellation invention which does away with the need for an accurate double-talk detector, while maintaining a higher adaptation gain for quicker convergence and also providing increased stability. It does this by operating two filter models of the acoustic path in parallel. One model is adapted continuously to find the most accurate model of the echo path, while the other is not. The echo canceller output is taken from the filter that is not adapted. A comparison of the residual error (echo) is done between the model being adapted and the model being listened to at regular intervals. When the model being adapted has less error (echo) than the model being listened to its filter coefficients are copied to the other model. If the model being adapted has greater error (echo) than the other model (caused by noise diverging the adaptation process) then the adapted model has its coefficients overwritten by the filter that is listened to. This process keeps error from accumulating in the adapted filter by removing divergence at regular intervals (improving overall convergence). Since the output is taken from the filter that is not adapted, higher adaptation gains may be used without fear of the user hearing any effects of adapting with a higher gain in the presence of noise.

Methods and systems are provided for operating a vehicle that supports an automated action, such as an aircraft supporting autopilot, autothrottle, and various other autonomous operations and operating modes. One exemplary method of operating a vehicle involves obtaining one or more user inputs pertaining to an automated action to be performed by an onboard system, obtaining current vehicle status information, determining an operational objective for the automated action based at least in part on the current status information and the one or more user inputs, and providing guidance information pertaining to the automated action in a manner that is influenced by the operational objective and the current status information. For example, the guidance information may include indication of a remedial action to resolve a discrepancy between the operational objective and a projected aircraft behavior in the context of the operational objective or the current vehicle status.

The invention provides an intelligent engine system and an intelligent household system. The intelligent engine system comprises a data storage unit and an actuating engine which are coupled with each other. The data storage unit comprises a triggering event database, a scene database and an equipment attribute database. The actuating engine is used for supplying an API interface and updating data in the triggering event database, the scene database and the equipment attribute database according to a received API request. Furthermore the actuating engine is used for coupling a triggering condition in the triggering event database according to the updated information of controlled equipment and triggering a corresponding application scene after successive coupling. The intelligent engine system and the intelligent household system settle problems such as interconnection and intercommunication between different platforms, information islands in a connecting network, difference between different platforms, and unified control between different protocols and different communication modes. The intelligent engine system is transplantable and furthermore facilitates code maintenance and upgrade.

The invention discloses a distribution method of multi-user parallel transmission resource in wireless heterogeneous network and mainly aims to solving the problem that the existing heterogeneous network source distribution technology cannot distribute the resource to concurrent shunt users; the distribution method comprises the steps that, (1), when a resource allocation cycle is coming, users report the detected channel quality indication information to each wireless access network, and report rate statistical information and resource request to a joint radio resource management module; (2), the wireless access network calculates the amount of the resource in each resource unit capable of being provided to users, and reports the resource amount and the channel quality indication information to the joint radio resource management module; (3), the joint radio resource management module calculates the priority of each user, and then sequentially distribute the resources to the users from high priority to low priority; and (4), the joint radio resource management module sends the resource distribution result to each wireless access network, and then the wireless access networks finish the user resource allocation. The distribution method has the advantages of high network resource use efficiency.

A honeycomb body of a honeycomb structure is made of ceramic, and a plurality of electrodes are provided apart from one another on a surface of the honeycomb body. In the honeycomb body, energization is performed for each of a plurality of current paths Xa to Xc formed by the plurality of electrodes, thereby heating the honeycomb body. A controlling device detects heater current Ia, Ib, and IC that flow when a predetermined voltage is applied for each of the plurality of current paths Xa, Xb, and Xc, and controls an energization timing of each current path Xa to Xc based on the detection results.

The present invention is based on the finding that the evaluation of the sensor signals of a position sensor with a mechanical period or, in general terms, the cooperation between position sensors and evaluation units, can be improved by eliminating divergence between the electrically optimal period and the mechanically optimal period. According to the present invention this is achieved in that the position sensor signal, which has a period which depends on the mechanical period of the scale of the position sensor, is translated into a translated signal with a period which corresponds to a second mechanical period, which e.g. has been set to the electrically optimal period, prior to—or for the purpose of—transmitting it to an evaluation unit, whereby not only can transmission errors be minimized and the evaluability improved but a complicated mechanical adjustment of the scale of the position sensor relative to the evaluation unit is avoided.

The invention relates to a method for obtaining the molding resilience value of a plate based on a CAE (Computer Aided Engineering) analysis method, relating to a method for accurately obtaining the resilience value in the molding machining of an automobile covering piece. The method comprises the following steps of: firstly, determining the design data for the molding machining; secondly, obtaining the molding analogue resilience value of the plate through the CAE analysis method; thirdly, manufacturing a test mould according to the design data for the molding machining, and molding and machining the plate through the test mould to manufacture a test molding piece; fourthly, selecting a plurality of measuring points on the test molding piece, and measuring the outline data of the test molding piece to obtain the actual resilience value of a certain measuring point; fifthly, comparing the actual resilience value with the analogue resilience value to obtain a deviation ratio, and obtaining the set resilience value of each measuring point by taking the mean of the deviation ratio as a resilience compensating factor and according to the analogue resilience value and the resilience compensating factor; and finally manufacturing a formal mould according to the set resilience value of each measuring point. In the invention, the accuracy rate of manufacturing the mould is improved through data acquisition, and important data are provided for manufacturing the mould meeting the design requirement once.

The invention discloses a pixel display adjusting method and device. The method comprises the following steps: obtaining the distance between edge pixels of adjacent display units for forming a light emitting diode (LED) display, comparing the distance between the edge pixels with a preset standard distance which is the distance between adjacent pixels in each display unit, and adjusting the display grey scale of the edge pixels according to a comparison result. By adopting the method and the device, the problem of bright line or dark line display caused by error between the distance of edge pixels of the adjacent display units and the standard distance in relevant technologies, and further the overall brightness uniformity of a display screen can be eliminated or improved.

The invention discloses a bionic doctor finger system for TCM (traditional Chinese medicine) pulse diagnosis and a signal collecting method, relating to the field of TCM pulse diagnosis informationization. The bionic doctor finger system comprises bionic fingers (1), a bionic finger locating and driving mechanism (2), a wrist fixing mechanism (3), a shell support structure (4), a fingering signal input end (5) and a pulse condition signal output end (6), wherein the bionic fingers (1) are encapsulated in the shell support structure (4), and realize locating and fixing through the bionic finger locating and driving mechanism (2) arranged in the shell support structure (4), and the shell support structure (4) is fixed above the wrist fixing mechanism (3). The signal collecting method comprises the following specific steps: fixing the wrist of a patient, locating the cun, guan and chi acupuncture points, and simulating the pulse diagnosis fingering movements of a traditional Chinese medicinal doctor. The system simulates the flexible mechanism of the fingers of the doctor, and accurately collects the pulse condition information of cun, guan and chi acupuncture points of the patient.

The invention discloses a method for classifying individual differences in psychological stress assessment. The method includes steps of 1, designing an effective experimental scheme for inducing psychological stress in laboratories and creating a stimulation material library for psychological stress materials; 2, acquiring psychological stress data of sEMGs (surface electromyographic signals); 3, preprocessing the raw data; 4, extracting and processing psychological stress characteristics of the sEMGs; 5, classifying psychological stress assessment by the aid of a classifier of an improved support vector machine. The method has the advantages that the psychological stress data are acquired via the simple and feasible experimental scheme, so that researchers can deeply understand psychological stress on the basis of careful analysis on mass data, and the method is beneficial to understanding emotional behavior of human; psychological stress assessment and research implemented by the method on the basis of the psychological signals have objective characteristics as compared with a self-assessment mode implemented by the aid of questionnaires and the like, accordingly, the method is wide in application range and favorable for psychological stress and health research.

The invention discloses a human body fall detection method based on a three-dimensional camera. The human body fall detection method comprises the steps of: acquiring training data, wherein the acquisition is implemented by acquiring a plurality of groups of falling and non-falling action segments of a plurality of experimental subjects of different heights and different ages; preprocessing data; extracting action features, wherein the extraction is implemented by extracting bone node distribution features, height features and inertia features of each kind of action, and forming behavior feature vectors; training a classifier for acquiring a motion model, wherein the training is implemented by inputting the behavior feature vectors of a training set into a hidden Markov model classifier, so as to obtain a parameter optimal model; and finally, carrying out feature extraction on data in successive frames of each test sample, inputting the processed data into the hidden Markov model for testing, and making judgment. The human body fall detection method realizes human body falling behavior detection by adopting a machine learning method, and has high identification rate. The human body fall detection method belongs to the field of computer vision and machine learning, can effectively identify the occurrence of indoor falling behaviors, sends out an alarm in time, and saves the labor force of nursing staff.

The invention discloses a WLAN (Wireless Local Area Network) fingerprint positioning method based on RSS (Really Simple Syndication) linear correlation and a re-weighted centroid algorithm. The method comprises the following steps of firstly, establishing an offline fingerprint database, arranging Q reference points in a target positioning environment, collecting multiple groups of RSS samples at the reference points and carrying out filtering processing, and generating a fingerprint database for describing the reference points; and then positioning at the environment, computing linear correlation coefficients of real-time RSS data received by a user terminal and fingerprint database sample data, selecting the reference points corresponding to k maximum correlation coefficients and adopting the re-weighted centroid algorithm to estimate a final position of a user. According to the method, the influence of the terminal hardware difference on the indoor positional accuracy can be reduced, and the stability and the accuracy of an indoor positioning system are effectively improved.

The invention relates to a computer technology field and is applicable to digital household medical information interaction, particularly discloses digital household medical services and a data integration method, and is characterized in that a service middleware comprises a network adaptation layer, a medical data conversion layer, a granularity service component layer, a digital medical service bus, a medical data integration layer and a medical service providing layer; and steps for achieving household medical services and data integration include: step1 the network adaptation layer carries out service encapsulation according to open technology standard protocols adopted by telecommunication networks, broadcasting networks and the internet to provide access interfaces applicable to different users and service outputs with standard description formats. And step2 the medical data conversion layer converts medical information between different systems or services into medical data meeting HL7 standards or DICOM standards to provide the medical data to the granularity service component layer and converts the medical data outputted by the granularity service component layer into data output consistent with service source standards.

The invention provides a variable-temperature test system and test method for VOC (volatile organic compound) diffusion performance of automobile parts and materials. According to the method, a one-cubic-meter environmental chamber is adopted for closed state test, a temperature influence result can be obtained through one-time test by continuously varying test temperature of the same test sample, and the VOC diffusion performance of a material at different temperatures can be represented very well. In order to cooperate with the closed variable-temperature dynamic test process, a traditional environmental chamber test system is improved and innovated, and a material surface temperature test technology, a closed chamber sampling and air supplementing system and the like are added.

The invention relates to a preparation method for higher aliphatic alcohol, in particular to a method for preparing 2-propyl enanthol by taking mixed butylenes as a raw material. The method comprises the following steps of: taking the mixed butylenes as a raw material, and generating valeraldehyde through two stages of hydrogen formylation reactions; adopting the same catalyst different temperatures for the two stages of the reactions so as to improve the selectivity of the reactions and greatly improve the ratio of normal compounds to isomeric compounds of the valeraldehyde; obtaining olefinaldehyde through the condensation and dehydration of the valeraldehyde; and obtaining 2-propyl enanthol after hydrogenation and separation. The method is applied in the field of petrochemical industry.