91results about How to "Avoid information loss" patented technology

Disclosed herein is an electronic device network including a plurality of electronic devices. The electronic devices may each have software adapted to update firmware/software resident in the electronic device in compressed form. The software adapted to update firmware/software may also be adapted to employ the decompressed firmware/software components in conjunction with additional update information in performing an update on the electronic devices. An update generator in the electronic device network may be adapted to employ compression and decompression techniques upon generated updates for use in updating the electronic devices. The update generator may also be adapted to generate update packages using the decompressed update information. The update generator may also be adapted to selectively compress the generated update packages usable for updating the electronic devices prior to the update package being transmitted to eth electronic device.

A method provides a random walk model with heterogeneous graphs to leverage multiple source data and accomplish prediction tasks. The system and method components include: 1) A heterogeneous graph formulation including heterogeneous instances of abstract objects as graph nodes and multiple relations as edges connecting those nodes. The different types of relations, such as client-vendor relation and client-product relation, are often quantified as the weights of edges connecting those entities; 2) To accomplish prediction tasks with such information, launching a multi-stage random walk model over the heterogeneous graph. The random walk within a subgraph with homogenous nodes usually produces the relevance between entities of the same type. The random walk across different type of nodes provides the prediction of decisions, such as a client purchasing a product.

The present invention discloses a dual array detector module adapted to radiation-imaging, comprising: a first detector array consisting of a plurality of first detectors and arranged on a first surface of a heavy metal plate; a second detector array consisting of a plurality of second detectors and arranged on a second surface of the heavy metal plate, the second surface is opposite to the first surface; and a mounting frame, in which the first detector array and the second detector array arranged on the first and second surfaces of the heavy metal plate respectively are mounted in the mounting frame. The dual array detector module according to the present invention is simple in structure and convenient for mounting and maintenance, so that a great economic benefit can be obtained by improving the structure simply and increasing a little of investment.

A system and method allows multiple users to more efficiently access and use client information in the preparation and assembly of documents. A computer software system captures certain information from clients and separately stores it from ordinary document assembly files such as template and answer files. A computer software system provides an intuitive, friendly environment in which to call a document assembly engine. A computer software system enables a more efficient re-use of information to form completed documents. A context-sensitive computer software interface hierarchally arranges a list of documents by client, then client matter, and then document type. Files are internally uniquely named and are accessed by a checkout mechanism from a central repository which avoids data loss associated with multi-user access.

A phase contrast electron microscope has an objective (8) with a back focal plane (10), a first diffraction lens (11), which images the back focal plane (10) of the objective (8) magnified into a diffraction intermediate image plane, a second diffraction lens (15) whose principal plane is mounted in the proximity of the diffraction intermediate image plane and a phase-shifting element (16) which is mounted in or in the proximity of the diffraction intermediate image plane. Also, a phase contrast electron microscope has an objective (8) having a back focal plane (10), a first diffraction lens (11), a first phase-shifting element and a second phase-shifting element which is mounted in or in the proximity of the diffraction intermediate image plane. The first diffraction lens (11) images the back focal plane of the objective magnified into a diffraction intermediate image plane and the first phase-shifting element is mounted in the back focal plane (10) of the objective (8). With the magnified imaging of the diffraction plane by the diffraction lens, the dimensional requirements imposed on the phase plate having the phase-shifting element are reduced.

A system and method for generating a multidimensional navigation solution utilizes Global Positioning System (GPS) data to obtain highly reliable and accurate navigational solutions in high interference and dynamic environments, at a performance level which has been heretofore unattainable. Additional sensors such as inertial (gyros and accelerometers), altimeters, radars, etc. may be employed in a deeply integrated configuration. The approach taken in the present invention differs from that of previous techniques through its exploitation of nonlinear filtering methods; as a result, the navigation system architecture and processes employed yield significant improvements in navigation system performance, both in code tracking and reacquisition, and in carrier tracking and reacquisition. The improvements are particularly significant at low signal/noise ratios, where conventional approaches are especially susceptible to loss of code lock or carrier lock.

The invention provides a method for quickly identifying EEG (Electroencephalogram) signals by using a dense deep convolutional neural network, and designs a convolutional neural network suitable for motor imagery EEG signals by combining the characteristics of time and space characteristics of the motor imagery EEG signals and using a characteristic connection method in the convolutional neural network. The convolutional neural network designed by the invention can extract the time and space features at the same time, and the outputs between different convolutional layers are connected with each other, so that the number of weights is reduced, and the purposes of overfitting resistance and feature reuse are achieved. The method comprises the steps of firstly, the filtered and resampled original data is inputted into the dense deep convolutional neural network, then the parameters of each layer of the network are updated through a back propagation and random gradient descent algorithm,finally, the network is tested, the test data is inputted into the trained network, and an output result is analyzed. Compared with a Shallow ConvNet method proposed in 2017, the signal identificationaccuracy and the kappa value are improved by 5% and 0.066%.

The invention discloses an extraction method for influence factors of carbon exchange of an ecosystem and a system. The extraction method includes steps of 1), acquiring attribute data of carbon flux samples in a carbon flux data observation station; 2), inputting the attribute data, which are obtained in the step 1), of the carbon flux samples, selecting the optimal combination by the aid of proposed fuzzy rough and reduction integrated algorithm of shuffled frog leaping or quick fuzzy rough and reduction integrated algorithm based on importance, and finding an environmental factor set with the closest relationship with carbon flux; and 3), realizing modeling and stimulating for various environmental factors in the environmental factor set obtained from the step 2) by the aid of a neural network, and obtaining extraction rate of the environmental factors of the carbon flux. The extraction system comprises a data import module, a factor extraction module, an input module and an evaluation module. By the aid of the extraction method and the system, the range of correlation factors of the carbon flux in the researched ecosystem can be effectively reduced, research efficiency is improved, and inherent law among the environmental factors is found.

A system and method for monitoring sensors via surveillance cameras is disclosed. In the system, surveillance cameras generating image data of scenes, where the sensors are included in the scenes. The sensors detect information concerning the scenes and encode the information so that it can be derived from the image data. Preferably, the sensors encode the information concerning the scenes by modulating a visible light source, the signals of which are captured within the image data by the cameras. An analytics system then analyzes the image data and decodes the information from the sensors encoded within the image data. Preferably, an integrated analytics system of the cameras executes the analysis. Exemplary sensors include sensors for detecting temperature, moisture, audio/voice, and product selection in a retail premises.

A method is provided for decompressing an image originally compressed using a known compression technique. An original compressed image file is defined by a plurality of locations that correspond to image data. A set of smooth test images is created by iteratively applying a plurality of different size PIXON® kernels to each location of a starting image beginning with a smallest size kernel. Each smooth test image is compressed using the known compression technique, then compared against the original compressed image at each location of the image to determine a goodness-of-fit of the compressed smooth test image to each location of the original compressed image file. For each location, the smooth test image that has the largest size kernel that passes a pre-determined goodness-of-fit criterion is selected for a given location of the decompressed image. A compression method utilizes the PIXON® method for optimization of knot points within an image. The optimized knot points are used to interpolate image intensity between the knot points.

The invention discloses a system and a method for monitoring broadcast signals in an online manner and parallelly demodulating the same. The particular method includes enabling the system to divide channels by the aid of digital channelization technologies, separating multiple channels of mixed digital broadcast signals from one another and outputting the separated mixed digital broadcast signals in the multiple channels; enabling a monitoring module to search signals and judge whether the signals are outputted form each channel or not by the aid of automatic signal searching technologies; connecting the channels with the outputted signals to demodulation modules to demodulate the broadcast signals. The system and the method have the advantages that digital channelized receivers and digital broadcast demodulation systems are combined with one another, the digital channelization technologies on the basis of FFB algorithms, the automatic signal searching technologies and digital orthogonal demodulation technologies are provided, accordingly, functions of parallelly monitoring and demodulating the multiple channels of broadcast signals can be implemented, the system and the method are applicable to diversified broadcast signals [AM (amplitude modulation), DSB (double-side-band), SSB (single-side-band), FM (frequency modulation) and FM stereophonic broadcast signals] and are high in flexibility, and the efficiency of the broadcast receivers can be improved.

The invention discloses a causal knowledge-based power information network attack scene reconstruction method and system. The method comprises the steps: receiving alarm information uploaded by security equipment in a network; formatting the alarm information, and removing incomplete alarm information; extracting alarm events from the alarm information, arranging the alarm events into an alarm sequence according to a time sequence, performing correctness check on an alarm period value obtained according to the alarm sequence, and filtering false alarm information; clustering the alarm events in the alarm sequence according to the correlation between the alarm event addresses, and dividing an attack scene sequence; mining a statistical association relationship among the alarm event types ofthe safety equipment in the attack scene sequence to form causal knowledge; and judging an attack scene of the alarm sequence by utilizing a preset algorithm. By implementing the method and the device, the association analysis capability of massive alarm events is improved, information loss in alarm information preprocessing is avoided, and convenient conditions are provided for subsequent causalknowledge construction in an actual environment.

The invention discloses a monitoring system for BTM (balise transmission module) equipment in batch, which is applied to the monitoring field, and comprises an interface module and a control analysis module, wherein the interface module is connected with the monitored BTM equipment in batch and used for receiving data of the monitored BTM equipment in batch in real time and transmitting the data to the control analysis module by means of time division, and the control analysis module is respectively connected with the interface module, the monitored BTM equipment in batch and an upper computer and is used for processing the data so as to obtain operating states of the monitored BTM equipment in batch. By the aid of the monitoring system for the BTM equipment in batch, the BTM equipment in batch can be simultaneously monitored, information loss is avoided, complicated analysis due to inconsistent test result times is greatly simplified, reliability of monitoring results is ensured, cost is reduced on the premise that the performance is guaranteed, and the monitoring system is smaller and more exquisite.

The invention provides a composite buffer area image display method and a composite buffer area image display device. The method comprises the following steps of: when receiving a command for displaying the image of a buffer area, creating a canvas having a transparent channel; drawing each buffer area image on the canvas; obtaining transparence of pixel points in the buffer area images on the canvas, and judging whether the corresponding pixel point belongs to a composite buffer area image according to the transparence; if yes, recoloring the corresponding pixel point according to the transparence and a pre-building color comparison table, and displaying each recolored pixel point. According to the composite buffer area image display method and device, information of the composite buffer area information is prevented from losing, occupation of CPU resources is reduced, and the image displaying efficiency of the composite buffer area is improved.

The invention provides a fault diagnosis method and system for a main transport pump. The method can comprise the following steps of: obtaining at least two to-be-analyzed data; pre-processing the at least two to-be-analyzed data; extracting characteristic data used for fault diagnosis according to the preprocessed result data; and performing fault diagnosis on the main transport pump according to the extracted characteristic data. According to the embodiment of the invention, at least two to-be-analyzed data is obtained, information loss during analysis of a single vibration signal is effectively avoided, overall monitoring for a state of the main transport pump is realized, and problems that potential weak faults and the like of the main transport pump cannot be effectively recognized as a single signal is easily submersed by noises in the prior art are solved; and furthermore, the to-be-analyzed data is preprocessed, and noise data in the to-be-analyzed data is removed, so that more precise to-be-analyzed data can be obtained, a fault source is timely and accurately judged, and repair and maintenance effects of the main transport pump are effectively guaranteed.

A First-Point Of Entry (FPOE) method for multiple social networks and systems & methods for enabling users to interact democratically within open groups and for managing voting rights in an online social network environment. When a user joins a new social network the FPOE system and method downloads the user's contributed information from a prior social network. The user's profile, connections and privileges from the prior social network are carried over to the new social network. Similarly, when a user updates his/her information, the new information automatically flows through the various social networks on the FPOE. Another aspect of the invention enables users to interact democratically and manage voting rights. A multilevel test is administered to new users to calculate valid points and various voting privileges are assigned accordingly.

A method, node and wireless communication terminal for providing handover and roaming from a 3G communication system to a 2G communication system. A dual-mode wireless terminal operating in a 3G communication system may obtain control channel information regarding a 2G communication system, and switch service as a function of the control channel information received. The method includes the step of providing control channel information for the 2G communication system over a downlink control channel of the 3G communication system to the wireless terminal. The node includes a means to communicate with the wireless communication terminal and a means providing control channel information of a second generation (2G) communication network over a downlink control channel at the 3G communication network. The wireless communication terminal includes a transceiver capable of communicating with a node of both a third generation (3G) wireless communication network and a second generation (2G) wireless communication metwork, and a control means coupled to the receiver for receiving and identifying control channel information indicative of the 2G communication network from a downlink control channel at the 3G communication network.

In a method and a device for determining a physical quantity from a number of measured values containing errors, grouping of the number of measured values containing errors into a plurality of subgroups of measured values is executed, wherein each subgroup includes a redundancy, so that more measured values than the number of measured quantities are contained in each subgroup. Hereupon, a reliability quantity for each subgroup is calculated based on the redundancy contained in the subgroup. Further, individual evidence is allocated to the measured values containing errors of each subgroup based on the reliability quantity for the respective subgroups. An evidence determiner determines one overall evidence each for each measured value containing errors based on the individual evidence quantities for a respective measured value. Hereupon, a processor calculates the physical quantity using at least some of the measured values containing errors and at least some of the overall evidences.

The invention relates to a recommendation algorithm performance optimization method based on a knowledge graph and particularly relates to a method for solving interpretability of a recommendation system, relieving cold start and improving algorithm accuracy. Firstly, an interpretability problem of the algorithm being solved, preprocessing an original data set, constructing a knowledge graph, obtaining the path information by using a knowledge graph meta-path extraction technology, inputting the path information into a recurrent neural network GRU, adding an attention mechanism and an averagepooling layer, and carrying out importance distinguishing on different paths to obtain a model prediction vector; secondly, relieving a cold start problem of the algorithm: multiplying the node attribute information of the user and the article to obtain an attribute fusion vector; and combining the vector results of the two parts according to a ratio of 3: 7, and training the model by using a cross entropy loss function to obtain a prediction result. The method is advantaged in that experiments show that compared with a recommendation algorithm based on a GRU model, accuracy of the algorithm is improved by 2.3%, and compared with a traditional matrix decomposition model, accuracy is improved by 5.1%.

Method for radio communication in a wireless local area network and transceiving device refers to wireless local area networks (WLAN) consisting of a multitude of transceiving devices of users (14, 15, 16 . . . N). Implies simultaneous scanning by their antenna beams in different directions by transceiving devices (with said transceiving devices being in reception mode) and transmission of an omnidirectional signal in the form of calibration signal and data package by one of the transceiving devices of said network (with said transceiving device being in transmission mode), reception of the signal by transceiving devices operating in reception mode and subsequent orientation of their antenna beams in the direction of signal source. Said recognition and orientation is performed during the period of reception of said calibration signal. The Method increases the range of a WLAN, reduces the transmission time and improves quality and reliability of communication. Each transceiving device (1) includes at least one directional antenna (3) featuring a controllable directional pattern, switched-over by unit (4), reception/transmission mode switch (5), receiver (8), transmitter (10) and controller (11). Additionally a unit for signal detection (13) is incorporated in the device.