80 results about "Energy factor" patented technology

The invention discloses a WSN (Wireless Sensor Network) distributed-type non-uniform clustering method, which comprises the following six steps of: setting a scenario, initializing a network, calculating a candidate probability, generating a random number to judge whether to become a candidate cluster head, running for a final cluster head, and adding a cluster head. The WSN distributed-type non-uniform clustering method has the outstanding effects that a position factor and an average energy factor are introduced in to balance the residual energy of the whole-network nodes when the cluster head is selected; when the final cluster head is elected, the node residual energy and the neighbor node amounts are comprehensively considered so as to guarantee that the network is completely covered; and when the cluster head is added, the whole-network load is balanced by an energy consumption function cluster entering mechanism based on energy and distance, an energy hole is effectively avoided, the network life cycle is prolonged, and the problem of 'hotspot' is alleviated.

A fault-tolerant timeout protocol for distributed sensor arrays and networks in which each sensor has a plurality of backup nodes, each of which is operable to send priority information which includes the product of the time needed for the backup node to transmit sensor information to a base station and the number of tasks offered to the backup node. In another embodiment, the base station stores the two values and calculates their product. In both cases, the lowest resulting value is used by the base station to select the backup node, which then sends backup sensor information. Another aspect of the present invention is a fault-tolerant sensor integration algorithm. The algorithm creates an abstract sensor defined as an interval having values above and below the reading of an associated physical sensor, and finds a range of values common to more than half of the abstract sensors. The algorithm obtains an output value based on the common range of values, and identifies the correct sensors, possibly faulty sensors, and faulty sensors by identifying the abstract sensors that include, respectively, (a) all of the common range, (b) part of the common range, and (c) none of the common range. A further aspect of the invention is a multi-hop information forwarding method for a wireless network. According to this method, a data source node transmits a signal to neighboring nodes among a plurality of distributed nodes, and each neighboring node which receives the signal from the source node transmits a reply signal which includes a weighted sum of factors including an energy factor and a distance factor for the neighboring node, the energy factor being indicative of the neighboring node's energy level and the distance factor being indicative of its distance from the source node. A forwarding node is selected on the basis of the weighted sums, and the source node transmits a data packet to the selected forwarding node, where the data packet is received and retransmitted either to a data sink node, e.g., a base station, or to another forwarding node.

The invention discloses a cluster tree hierarchical wireless sensor network routing method with the optimized energy efficiency. The method includes the first step of automatically and dynamically organiing clustering during a cluster construction period, the second step of carrying out random selection on cluster head nodes according to the energy balance principle through the consideration on node energy factors, the third step of utilizing a minimum spanning tree Prim algorithm to construct a cluster tree hierarchical network route, namely, points in the Prim algorithm correspond to the cluster head nodes selected in a wireless sensor network, and the weights of sides correspond to energy weighting distances between the cluster head nodes, and the fourth step of constructing the cluster head nodes to a multi-hop routing network structure. Through the protocol, the cluster heads are reasonably selected in the application of the wireless sensor network which is powered through the energy harvesting technology, and consequently effective utilization of energy can be achieved, the communication cost between the nodes is reduced, the problem of the premature death of the cluster head nodes due to long-distance communication is solved, and the prolonging of the lifetime of the whole network is facilitated; in addition, the application of the spanning tree algorithm enhances the expandability of the protocol.

The invention discloses a WSN (wireless sensing network) survivable routing method and a survivability evaluation model based on clusters. Mechanisms of key negotiation, identity identification, standby cluster head chain, semi-Markov chain, inter-cluster routing and the like are integrated, and the SRPC (survivability routing protocol based on clusters) anti-attack capability is high. The attack of malicious nodes is resisted through key negotiation and identity identification, the availability and the completeness of the monitoring information are ensured, the energy consumption is low, and the service life is long. Energy factors are introduced, in addition, the single-hop routing and the inter-cluster multi-hop routing are combined for transmitting the monitoring data, the anti-attack capability of a network can be obviously improved, and in addition, the network surviving capability reaches the optimum state through the balance. The delivery rate is high, and after the SRPC protocol cluster head nodes fail or are damaged, the data is transmitted to the standby cluster heads with the highest priority. The survivability evaluation model has the universality, is applicable to the quantitative evaluation on the WSN with the network state stay time complying with the negative index distribution, and can also be used for evaluating the WSN with the changeable network surviving state and the irregular state stay time.

The invention discloses a CSI feedback method for a large-scale MIMO system based on compressed sensing, and belongs to the technical field of compressed feedback of channel state information in a large-scale wireless communication system. The CSI feedback method comprises the steps that a mobile station MS calculates retention sparsity according to a preset energy factor of the system; the MS calculates a necessary number of measurements according to the retention sparsity, and calls a measurement matrix to compress downlink CSI needing to be fed back according to the necessary number of measurements; the MS converts the CSI needing to be fed back into bit stream and feeds back the bit stream to a base station BS, wherein the CSI needing to be fed back comprises a measurement signal, a partial supporting set and the sparsity; the BS demodulates the sparsity containing noise, the partial supporting set and the measurement signal according to the received bit stream, and calls an improved reconstruction algorithm to reconstruct the downlink CSI. By adopting the CSI feedback method in the scheme disclosed by the invention, the feedback overhead of the CSI feedback based on the compressed sensing can be effectively reduced, and the computational complexity of the CSI reconstruction algorithm on the BS side is reduced.

The invention provides a coding and a decoding device of audio signal high frequency parameter. The coding and decoding device uses a plurality of modes to recover high frequency signals which can not pass a core layer code, thereby high frequency signals are rebuilt efficiently to improve output audio signal quality. The coding device of audio signal high frequency parameter comprises a frequency dividing module, a low frequency coding module, a time-frequency transforming module, a high frequency pumping module, a gain calculating module, a gain factor quantization module, a high frequency signal reconstructing module, a signal to noise ratio calculating module, a mode selecting module and a parameter coding module. The decoding device of audio signal high frequency parameter comprises a parameter allocation module, a low frequency decoding module, a decoding time-frequency transforming module, a high frequency pumping rebuilding module, an energy factor calculating module, a high frequency field signal rebuilding module and an inverse time-frequency transforming module.

The invention provides a multifactor-based wireless sensor network trust management model. The model is formed by a trust value computing layer, a trust value management layer and a trust value application layer. The trust value computing layer is basic and includes node direct trust value computing, bad cooperation value computing and energy factor computing. The trust value management layer is a core and comprises cooperation log sheet management, trust value management between nodes, node trust value initialization and trust value update. The trust value application layer is a purpose and comprises malicious node identification, credible node confirmation, low-energy node identification and credible route selection. The model is used for carrying out estimation on the trust value of nodes according to cooperation information between the nodes so as to rapidly identify malicious nodes in the network, balance expense of the nodes in the network and reduce unnecessary resource losses. Consequently, the problem of information leakage caused by internal nodes captured is avoided, and reliable, safe and continuous running of a wireless sensor network is guaranteed.

Quality-of-service for different communication services that share a common physical link (such as at least one code division multiplexing code) is provided. Outer power loop control serves to maintain quality-of-service for a selected one of the communication services that has, in a preferred embodiment, a highest relative requirement for quality-of-service. Rate matching parameters are then selected independent of transmission energy factors to ensure that the remaining communication services abide by their corresponding quality-of-service requirements.

The invention relates to an optimal operation method for a multi-energy complementary system, which includes the following steps: S1, carrying out interval description on distributed energy and cooling-heating-power equipment based on the structure of a multi-energy complementary system; S2, establishing a system coupling model according to the interval description result; S3, establishing a multi-objective function considering environmental, economic and energy factors, wherein the multi-objective function includes the operation cost and the pollution emission cost; S4, acquiring constraintsused to ensure interval balance, wherein the constraints include electric power balance, cooling-heating-power equipment balance and grid interaction conversion constraints; and S5, solving the systemcoupling model based on the interval theory and affine operation to obtain a final solution set. Compared with the prior art, coupling modeling is carried out on the energy devices of the system, andthe model is solved based on the interval theory and affine operation, which can reduce the dynamic impact of prediction error and energy fluctuation on the system, realize optimal allocation of resources and improve the energy utilization efficiency of the multi-energy complementary system.

The invention relates to the technical field of power system dispatching and particularly relates to a day-ahead economic optimization dispatching method for an optical-storage-charging energy router, comprising the following steps of 1, establishing a mathematical model of the optical-storage-charging energy router and its components; 2, dividing the whole day into N equal time periods; 3, establishing an economically optimal objective function; 4, establishing a constraint condition; and 5, solving the optimization problem and obtaining a day-ahead economic optimization dispatching result. The method has substantial effects of rationally planning and dispatching the resources of the power grid and each port of the energy router under the condition of comprehensively considering various energy factors. The method optimizes the charging behavior of an electric vehicle, improves the voltage quality of the distribution network, explores the potential of an energy storage device, obtains an economically optimal day-ahead optimization dispatching result, and has a greater advantage than a traditional solution.

The invention discloses an identity recognition method and device of identical names in multiple networks. The method comprises the following steps: obtaining user identity information and user identity corresponding relations in multiple networks, using a user identity information set with known user identity corresponding relations as a training set, establishing a lowest energy model based on user behavior similarity according to the user identity information in the training set, and obtaining energy factors and a matching relation classifier; matching two pieces of arbitrary user identity information according to the matching relation classifier, and solving the energy matrix to obtain a matching result of single prediction; integrating the matching results solved in multiple times to obtain the user identity corresponding relations. The method and the device disclosed by the invention can be used for confirming the identity of information having different user identity information while having the same names in the multiple networks to improve the accuracy of a statistical result, the adopted algorithm is efficient, the calculation process is fast, and with the increase of sample databases, the accuracy rate of a calculation result is continuously improved.

The invention relates to the field of wireless communication, in particular to a wireless sensor route protocol, and particularly to a wireless sensor network clustering route method based on roadway environment. The method includes selecting cluster heads through a cluster head threshold value; calculating cluster radius, and broadcasting cluster information according to the cluster radius by the cluster heads to wait for cluster members to join in; broadcasting individual information by the cluster members; forming two chainlets in the cluster according to greedy algorithm to transmit information to the cluster heads; and forming multiple hop transmission between the cluster heads to transmit data to a base station. With the improved cluster head selecting method, and energy factors and roadway influencing factors are added, the cluster head threshold value is changed, network energy consumption is equalized and stability is improved. The cluster radius of the cluster close to the base station is reduced, roadway inclined angle factors are added, and dead nodal points around the base station are reduced. Data between the cluster heads are transmitted by the aid of a multiple hop method, so that energy consumption is equalized and roadway environment can be extremely fitted.

The invention relates to an energy factor based ultrasonic guided wave detection method of the debonding defect of a bonding structure, which is characterized in that: whether a region of a connecting line between a transmitter transducer and a receiver transducer has the debonding defect or not is judged according to the size of the energy factor of received ultrasonic guided waves. Compared with the prior art, the detection method has the advantages of quick detection speed, high efficiency and wide covering range of detection regions, and can realize the detection of unreachable parts of certain transducers; and compared with the traditional pulse echo method, the target feature value changes more sensitively and the debonding defect is more easily found.

The embodiments of the invention provide an image reconstruction method, device and apparatus, which can achieve the objectives of reducing noise of reconstructed images and increasing the signal to noise ratio of reconstructed images. The method comprises the steps of acquiring response line data obtained when photon pairs are received by a crystal of a nuclear detector, wherein the response line data include the practical energy parameters of the photon pairs, which are in a preset energy range; determining energy factors corresponding to the response line according to the practical energy parameters and theoretical energy parameters of the photon pairs, wherein the energy factors represent the closeness degree of the practical energy parameters with respect to the theoretical energy parameters; acquiring system parameters according to the energy factors, establishing a system response model by using the system parameters, and obtaining a reconstructed image by using the system response model, wherein elements of the system parameters represent the probabilities of photon pairs generated by human body parts corresponding to the voxels of the image being received by the nuclear detector.

The invention discloses an EEMD-ARIMA based cloud computing server load short-term prediction method. The EEMD-ARIMA based cloud computing server load short-term prediction method comprises the steps of firstly building a training set for load data; then carrying out EEMD decomposition for the load data to obtain multiple IMF components and remainder terms; then calculating an information entropy, a correlation coefficient and an energy factor of each IMF component and each remainder term, and further building an effective evaluation factor to select effective IMF components and effective remainder terms; and finally carrying out ARIMA prediction and summing for the effective components to obtain a final prediction result. Precise short-term prediction for the cloud computing server load is realized. The EEMD-ARIMA based cloud computing server load short-term prediction method is suitable for prediction of unsteady load of the cloud computing server, in particular, for the prediction of an unsteady state condition of the server load possibly caused by randomly burst user resource demands in a short time in a public cloud, is suitable for all the load types used by cloud computing and is not limited by a single load type.

The invention relates to the technical field of power system scheduling, and specifically relates to an economic scheduling method for a power system with an optical storage and charging park power grid. The economic scheduling method comprises the steps of first, establishing an optical storage and charging integrated controller model, an energy storage device model and an electric automobile state model for optical storage and charging of a park; second, accessing the park as a load node to a regional power grid; third, establishing an objective function with social benefits being optical on the whole; fourth, establishing constraint conditions; fifth, carrying out day-ahead economic optimization by taking the [delta]T as a time interval to obtain a dispatching result. The method has the substantial effects that the day-ahead economic optimization scheduling according to the load and photovoltaic prediction data, the comprehensive social benefit maximization of park users and the power grid is realized through reasonably planning the charging and discharging behaviors of the energy storage device and the electric automobile, the economic potential of various energy factors is explored, and the method has the great advantages and popularization and application prospects compared with the traditional method that only new energy is accessed without control.

The invention relates to a cluster head multiple selection energy balance routing method. An existing clustering routing method has the problems that the quantity of cluster heads is unstable, the cluster heads are unreasonably distributed, the existing clustering routing method is lack of the consideration of node residual energy, and inter-cluster single-hop communication causes overlarge cluster head energy consumption and imbalance. The method mainly comprises the following three contents: the strategy of cluster head multiple selection at the clustering stage, cluster head selection algorithm and non cluster head node into cluster algorithm taking energy factor into account, and a heuristic inter-cluster multi-hop communication mechanism at the stable transmission stage. The method ensures that the quantity of generated cluster heads is stable and the cluster heads are uniformly distributed, effectively reduces the energy consumption of a network, balances energy among nodes, and obviously prolongs the life cycle of the network.

The invention discloses a search method and device for figure information. The search method includes the steps that figure identity information in multiple networks and figure identity corresponding relations are obtained; the figure identity information of the known figure identity corresponding relations is gathered to serve as a training set; an energy minimum model based on the figure behavior similarity degree is constructed, and then energy factors and a matching relation classifier are obtained; energy filling is performed through the energy factors to form an energy matrix, and a matching result predicted at one time is obtained through solving the energy matrix; matching results obtained through repeated solving are integrated, so that the figure identity corresponding relations are obtained, and the identity uniformity of figures with the same name is determined; an input name is received, and the identity information, in different networks, of the same figure is displayed in one webpage. The method and device can determine the uniformity of the information with different identities but the same name in the multiple networks, and the adopted algorithm is efficient and calculation is rapid in the process of displaying the identity information, in different networks, of the same figure in the webpage.

The invention provides a D2D cache communication content sharing method. The method comprises the following steps: filtering a candidate D2D file transmitter according to file information requested bya D2D user terminal file requester; calculating an existing energy estimated value of the candidate D2D file transmitter and selecting a final D2D file transmitter based on the obtained existing energy estimated value. The method in the invention considers an existing energy factor of the D2D user device during file transmission and improves the file transmission success rate and cache communication throughput.

The invention discloses a quantitative evaluation method for green properties of a product. The green properties of the product comprise an environmental influence property of a product material, a disassembly property of the product, a recycle property of the product and energy utilization rate of the product. The method is characterized in that the green properties of the product conduct comprehensive evaluation through green property factors consisting of an environmental factor, a connection relation factor, a structure depth factor, a recycle property factor and an energy factor, and weighted values corresponding to the green property factors. The method can accurately provide numerical value indexes of the green properties of the product, thereby providing technical support for green design of the product.

The invention relates to a video foreground deletion tampering detection method. The method comprises the steps of computing energy factors of a to-be-detected video and constructing an energy factorcurve, and accurately detecting start and stop positions of a tampered video sequence on a time domain; extracting a tampered trace of each frame in the tampered video sequence through adoption of anadaptive parameter-based visual background extractor improved algorithm; and combining detection results in a time domain and a space domain and obtaining a final detection result. According to the method, a foreground deletion tampering mode existing in the video is effectively detected. The method is characterized by short detection time, a high detection accuracy rate, high robustness and the like. Influence of disturbance of leafs, grass, trees and ripples in the video can be effectively resisted. Evidences are obtained for video area tampering. An effective detection method is provided.

The invention provides a rebate method and a shopping platform, provides rebate rules of reasonable distribution, and calculates rebate benefits of customers, merchants and the platform; the method comprises the following steps: setting a price P and an energy factor C of each piece, calculating an energy value e and a period income i of a consumer accumulation unit, and returning the i to consumers; calculating a period income j of a merchant accumulation unit, and returning the period income j to the merchants. The method and dig stable platform consumers, can promote market benign cycle competitions, thus enabling customers and merchants to maximumly obtaining rebates; the platform fund comes from surrendered profits of merchant business volumes; the customers and merchants share the incomes formed by platform operation; customers can obtain up to 99% of the expenditure as the income; the merchants can obtain up to 90% of the surrendered profit sum as the income.