184results about How to "Improve selection accuracy" patented technology

A control method of searching for a neighboring cell of a mobile station communicating with a base station is provided in a direct sequence CDMA mobile communication system which transmits information by carrying out double modulation using a first spreading code group and a second spreading code. The first spreading code group includes spreading codes that have a same repetition period as an information symbol period and are used in common by the base stations, and the second spreading code has a repetition period longer than the information symbol period. The base stations are assigned different second spreading codes. The control method stores at least one second spreading code and its phase into a first table, which second spreading code corresponds to a perch channel whose second spreading code and phase are known; stores a second spreading code used by a neighboring base station into a second table; searches for a perch channel whose second spreading code and phase are unknown; and searches for a perch channel whose second spreading code and phase are known. The neighboring cell search method can save the power consumption and time required for the mobile station to carry out the cell search with preventing an increase in the total cost of the system.

A laser module has an optical amplifier, a first etalon and a wavelength selectable mirror. The first etalon has wavelength peaks at a given wavelength interval in transmission characteristics and transmits a light from the optical amplifier. The wavelength peaks are tunable. The wavelength selectable mirror acts as an external mirror of an external cavity laser including the optical amplifier, and has a relatively high reflection intensity at a part of wavelength range in an effective gain range of the optical amplifier. The effective gain range of the optical amplifier includes more than one wavelength peak of the first etalon. A reflection bandwidth where the wavelength selectable mirror has a relatively high reflection intensity is less than twice of the wavelength interval of the wavelength peaks of the first etalon.

To reduce power consumption for scanning and maintain communication quality by reducing the time for scanning or connection when a wireless communication terminal switches between networks or base stations. A wireless communication terminal 1 enabling connection with a plurality of base stations disposed in different positions which includes a base station scanning unit 100 detecting and scanning a base station capable of communication at the current position of the wireless communication terminal, a simultaneous detection base station recording unit 101 recording simultaneously detected base stations as simultaneous detection information in a storage unit, a connection candidate extraction unit 102 and a first communication unit 103 performing communication by connection with the extracted connection candidate base station. Based on the simultaneous detection information, the connection candidate extraction unit 102 extracts a base station having the possibility of simultaneous detection with the currently connected base station as a connection candidate base station.

The present invention relates to a base station selection method based on deep reinforcement learning in an LTE-V. The method comprises the following steps of: 1) constructing a Q function according to LTE-V (Long Term Evolution-Vehicle) network communication features and base station selection performance indexes; 2) obtaining state information of a vehicle in a network through a mobile management unit, constructing a state matrix, and storing the state matrix into a playback pool; 3) taking an experience playback pool as a sample, and based on the constructed Q function, employing a dueling-double training mode to obtain a main DQN (Dueling-Double Deep Q Network) used to select an optimal access base station; and 4) performing processing of the input information by employing the main DQNobtained through training, and outputting a selected access base station. Compared to the prior art, the base station selection method based on deep reinforcement learning can consider the delay performance and the load balance performance of communication at the same time to allow the vehicle to timely and reliably perform communication, and is high in base station selection efficiency and highin accuracy.

The current invention is designed to improve the certainty of test-taker classifications in testing programs utilizing open-ended items. The current invention discloses methods to improve certainty in estimates of test-taker performance for all test-takers while using a minimum of scoring resources. The invention selectively allocates resources to scoring by ceasing to allocate scoring resources to test-takers whose performance has been determined with sufficient certainty, and by having an additional reader or readers score responses from test-takers whose scores are close to cutoff levels. The invention further increases precision of scores for test-takers near a cutoff by selectively allocating more reliable and accurate readers to score responses most likely to influence a test-taker's performance classification. Other scoring resources are also shown.

The invention discloses a surface-mounted type permanent magnet synchronous motor rotor initial position estimation method. Firstly, according to the sensitive degree of a salient pole characteristic and produced position vibration and vibration noise of a motor rotor, an injecting voltage amplitude and frequency suitable for a specific motor are chosen; then, according to determined parameters, pulse vibration high-frequency injection is carried out in an optimized injection angle scanning mode, and the peak position of a high-frequency current amplitude curve is extracted; at last, according to a nonlinear magnetization characteristic of a stator core, the N and S polarities of a permanent magnet are determined, and therefore the initial position of the rotor is determined. The surface-mounted type permanent magnet synchronous motor rotor initial position estimation method resolves various realistic problems of an initial position estimation stage, improves recognition precision, weakens negative influences of an injection process, and can effectively estimate any surface-mounted type permanent magnet synchronous motor rotor initial positions.

The invention discloses a rice granule shape gene qSS7 as well as a preparation method and application. The sequence of the rice granule shape gene qSS7 is as shown in SEQIDNO.1. Due to the gene, the granule length and the length to width ratio can be increased, the granule width can be reduced, and the chalkiness rate and the chalkiness degree can be also reduced; and when the appearance quality of rice is improved by using the gene, the quality and the yield of rice can be prevented from negative influence; a gene mark is also designed for qSS7, long and short granule allele can be identified in the seedling period, unexpected heterozygous and pure short granule genotype plants can be rejected, the possibility that descendant granule shapes can be separated when being bred is avoided, and breeding procedures for a next season can be reduced. Therefore, the area of a descendant bred material can be reduced by 75% in quality breeding practice, the gene selection accuracy can be improved, and the breeding progress can be accelerated.

The invention discloses a node vitality quantifying method in a mobile social network, the method comprising: (1)configuring a connection strength index between mobile nodes; (2) computing a betweenness centrality of nodes; (3)counting, within a fixed time period, average access time rate of nodes and betweenness centrality, weighted-synthesizing them into a cooperation index of nodes; (4)computing and taking the minimum value of entropy of link information as link information entropy between node pairs; (5)taking an average value of entropy of link information between a mobile node and all reachable nodes in the network as a quantization value of the vitality of the mobile node. According to the invention, by introduction of several social factors as a supplement, a reasonable quantization is performed on the vitality of nodes in a mobile social network based on analysis of a mobile social network topology structure, and thus a scientific, reasonable and real result of mobile node vitality quantifying is provided for related applications. The invention improves node selecting accuracy rate in a mobile social network, and ensures reliable and high effective operation of mobile network service.

A method for optimizing design of building aseismic support and hanger type selection includes the steps of arranging and assembling main accessories in seismic support and hanger according to different type to obtain all combination types of main accessories of seismic support and hanger; calculating the design bearing capacity and cost of the aseismic support and hanger corresponding to each combination type are calculated by choosing the combination type which accords with the aseismic support and hanger layout form among all the combination types of the main accessories of the aseismic support and hanger. The design bearing capacity of each type of aseismic support and hanger is transformed into the maximum mass of the mechanical and electrical pipelines. According to the type and quality of mechanical and electrical pipelines and the maximum quality and cost of mechanical and electrical pipelines can be borne by the corresponding seismic support and hanger of each different combination type, the optimal combination type is selected in different combination types. The invention can effectively select the optimal combination scheme from the combination schemes of different typesof the main accessories of the seismic support and hanger, has high safety and low cost, and can meet the related requirements.

The invention discloses a sub-block motion prediction and coding method, a coder and a storage device, and the method comprises the steps: obtaining a reference block, a co-located frame and a reference frame of a current block, and the number of at least one of the reference block, the co-located frame and the reference frame being greater than one; obtaining motion vectors of the current blocks,wherein the motion vector of each current block corresponds to a group of reference parameters; obtaining a common position block of a plurality of sub-blocks based on each group of reference parameters, the plurality of sub-blocks being obtained by dividing the current block, the common position block of the sub-blocks being a block where a first offset point is located in a co-located frame, and the first offset point being a point after a specified point in the sub-blocks offsets a reference motion vector; obtaining candidate motion vectors of the sub-blocks by utilizing the motion vectorsof the common position blocks of the sub-blocks; and obtaining a sub-block motion prediction result of the current block based on all candidate motion vectors of the sub-block according to the principle of minimum prediction cost. In this way, the prediction accuracy can be improved.