2327 results about "Mutual influence" patented technology

The invention provides a network slice processing method and an access network selecting method and apparatus. The network slice processing method applied to a terminal side includes the steps of obtaining a slicing identifier of a network slice, the slicing identifier marking a preset network, sending the slicing identifier to a base station, receiving a confirmation message sent by the base station for confirming that the preset network is the access network of the terminal, and accessing the preset network. Adding, deleting and changing can be flexibly conducted for the network slice in the embodiment, thereby satisfying the mobile network demand in diversity in the future. A terminal can flexibly select network business based on the network slicing identifier without specifically configuring the port of a network slice. Different network business functions correspond to different network slices, thereby preventing mutual influence of various businesses. The network stability is higher.

The invention discloses a multi-frequency antenna system applicable to a mobile terminal with a metal frame structure. The multi-frequency antenna system comprises a metal frame, a PCB and an antenna part. The metal frame is designed to be part of an antenna radiation body, two gaps are formed in the bottom portion of the metal frame, a feeding wiring part and the metal frame together form a T-shaped monopole antenna or an IFA antenna so that the metal frame itself can be used for producing low frequency and high frequency resonance, and other coupling parts can be additionally arranged to be used for adjusting the low frequency and high frequency resonance according to the needs of working frequency bands. The multi-frequency antenna system has the advantages that due to the fact that the gaps of the metal frame are formed in the bottom portion, a user can be prevented from touching the gaps during the actual use process, and the phenomenon that the performance of the antenna is poor when the antenna is held by a hand is avoided; the working frequency bands of the multi-frequency antenna system are 704Mhz-960Mhz and 1710Mhz-2700Mhz, and multi-frequency broadband is realized; compared with a traditional general antenna, the multi-frequency antenna system is multiple in frequency band and broad in frequency width; the antenna structure of the multi-frequency antenna system is small in occupied space, and mutual influence cannot be generated between the antenna structure and surrounding environments.

The invention provides a vehicle and road collaborative information-based signalized intersection vehicle speed guidance system, which comprises an information communication module, an information acquisition and processing module, a vehicle speed guidance and suggestion module and a vehicle safety early-warning module. The information acquisition and processing module is used for acquiring the information of a vehicle through the acquisition and processing process of the combination of a GPS and an INS. The information acquisition and processing module is also used for acquiring the information of a preceding vehicle and the signal state information of an annunciator via the information communication module. By means of the vehicle speed guidance and suggestion module, after the entrance of the above vehicle into a guidance range, whether the vehicle is within the range of lane-changing-allowable road segments or not is judged based on the vehicle information within the guidance range and the signal state information of the annunciator. Meanwhile, the vehicle speed guidance and suggestion module provides a vehicle speed guidance suggestion and a driving lane suggestion to the vehicle. The vehicle safety early-warning module calculates a safety margin value between two vehicles according to the information of the vehicle and the information of the preceding vehicle, and then judges the collision risk state of the vehicle according to the safety margin value. According to the invention, the real-time position of the vehicle, the real-time speed of the vehicle and the mutual influence among vehicles are fully contemplated. In this way, when the vehicle passes through a signalized intersection, the stop delay of the vehicle is reduced. Therefore, the traffic efficiency of roads is improved and the environmental pollution is reduced.

The invention relates to a coverage and capacity self-optimization device of a self-organization network in LTE/LTE-A and a method thereof. A fault detection unit monitors faults related to the coverage and the capacity in real time in a mobile communication network, a learning and matching unit learns and matches with history event knowledge, and wireless parameters are initially configured according to the most similar event. Then a parameter decision unit adjusts the initially configured wireless parameters on the premise of taking account of the mutual influence of different wireless configuration parameters, and a utility function is introduced to evaluate the efficiency of the self-optimization process to finally finish the utility maximization on the premise of comprehensively taking account of network/business and the requirements of operators, and realize the coverage and capacity automatic optimization of the self-organization network in the LTE/LTE-A. The invention has the advantages that the invention realizes the accurate position of fault sources and the correct decision by using the existing coverage and capacity self-optimization model, thereby achieving the target of coverage and capacity self-optimization.

The invention discloses a parallel deep learning scheduling training method and system based on a container, and belongs to the technical field of cloud computing and deep learning. The technical problem to be solved by the invention is how to avoid that each Task resource of TensorFlow cannot be isolated during training, the mutual influence is caused by resource preemption, the defect schedulingcapability, the upper-layer development amount is large, and the checking of each Task training task and log is inconvenient. The adopted technical scheme is as follows a Kubernetes container is utilized to realize the configuration and scheduling of the computing resources of tasks, a plurality of resource management mechanisms such as ResponceQuota and LimitRanger are provided, and the resourceisolation among the tasks is realized through communication among pod nodes in a container cluster; the same training node starts training pod and life cycle management pod at the same time, the LCMcarries out resource job scheduling in a unified mode, and the micro-service framework serves as POD deployment and depends on the latest version characteristic of Kubernetes to effectively mobilize the use of the GPU. The invention also discloses a parallel deep learning scheduling training system based on the container.

The invention discloses a machine type communication (MTC) paging system and a method for implementing paging priority. The machine type communication (MTC) paging system comprises a core network element, an access network element, and a mobile terminal for receiving paging, wherein the core network is used for transmitting a paging message which carries paging characteristic information to the access network element; the access network element is used for performing paging processing according to the paging characteristic information of the paging message and performs paging according to a paging processing result; the paging characteristic information comprises mobile terminal type, mobile terminal group attribute, paging priority information or paging real-time information. By the method, the paging optimization is performed to regulate the paging priority sequence according to one or a combination of the paging characteristic information, or a paging resource and a paging channel are distributed aiming at different types so as to avoid the mutual influence among different types of communication requirements; and the distribution of the paging resource can be optimized according to requirements of service quality such as real-time property, priority and the like.

The invention relates to a crypto module based on the fingerprint identification technology, which belongs to the field of the biological characteristic recognition technology application and the electronic technology. The crypto module comprises a microprocessor 1, a control circuit 2, a data memory chip 3, a communication interface 4, a communication interface 5 and a power module 6. The communication interface 4 is connected with a fingerprint sensor to obtain fingerprint image data. The communication interface 5 is connected with peripheral equipment. The communication interface 4 and the communication interface 5 respectively support various interfaces of a USB, an SPI, a UART, and the like. The crypto module causes a user to input the fingerprint for automatically generating and filling-in a code of an application program, can be used for generating and automatically filling-in codes of a plurality of application programs or generating, inquiring and storing a plurality of other codes of the user, can be applied by many users without any mutual influence, can be directly used to application programs adopting account numbers and codes for authentication, and can also be applied to application programs adopting fingerprint characteristics data for authentication.

The invention provides a thread pool processing method and a thread pool processing system capable of fusing synchronous and asynchronous features. A large number of task requests on the internet are subjected to asynchronous processing by the thread pool, so that mutual influence is avoided and the waiting time is short. Synchronous processing is realized for single user operation, the output requirement according to the service sequence is met, and optimization mechanism capable of performing priority processing is provided for the task request with high importance.

The invention discloses a layered resource reservation system under a cloud computing environment. The system consists of a center reservation server, an area reservation server and a multi-level resource pool, wherein the center reservation server comprises a reservation request response layer and a multi-area center reservation collaborative layer; the reservation request response layer is responsible for sending a resource reservation request and accessing reserved resources; the multi-area center reservation collaborative layer is responsible for receiving the resource reservation request of the center reservation server; the area reservation server is divided into a logic scheduling layer and a resource distributing layer; the logic scheduling layer is responsible for receiving a resource reservation subrequest and distributing resources logically; the resource distributing layer is responsible for executing resource distribution and recovery; and the multi-level resource pool comprises a plurality of computing nodes which can be scheduled. The layered resource reservation system can adapt to the dynamic properties of a cloud computing platform and cloud computing application, thus eliminating mutual influences of various cloud computing applications due to resource competition, and guaranting the normal and stable operations of applications and services.

The invention relates to a light guide membrane layer for a key device. The light guide membrane layer comprises an optical membrane layer and a rubber layer arranged on one side of the optical membrane layer and formed with the optical membrane layer to a whole, wherein at least one accommodating region is formed on the rubber layer. In addition, the invention also provides a key device which comprises a key layer, a metal dome switch layer and a light guide membrane layer arranged between the key layer and the metal dome switch layer, the light guide membrane layer comprises the optical membrane layer and the rubber formed with the optical membrane layer to a whole, and at least one accommodating region is formed on the rubber layer. According to the invention, the optical membrane layer and the rubber layer are formed into a whole, so that the thickness of the whole key structure is lowered; and meanwhile the accommodating region is formed on the rubber layer, a larger accommodating space is gained for elements in the accommodating region, mutual influences of electrical signals between the key and the elements in the accommodating region is avoided, and the production cost can be lowered.

The invention discloses an information real-time recommendation method for an online forum. The method comprises the following steps of: acquiring all topic link data discussed by users during an appointed time period and analyzing a potential topic contained in the topic link; measuring a mutual influence value and a user spontaneous interest value which are discussed by the users respectively for different potential topics; and calculating a trend probability of user participation in a new topic link, seqencing the users according to the trend probability and recommending the sequenced topic links to the users. The method has the advantages of quickly searching posts associated with the social intercourse and topic interests of the users, along with short search time and high efficiency.

The invention discloses a prediction method of multi-functional parameter accelerated degradation testing product life based on multivariate hybrid time sequence analysis, belonging to the technical field of accelerated test evaluation, comprising the steps of test data acquisition and pretreatment; multi-functional parameter time sequence modeling; multi-functional parameter degradation failure prediction; multi-functional parameter degradation accelerated modeling and multi-functional parameter product life prediction; the problem that the prediction is inaccurate since the mutual influence among a plurality of property parameter degradation processes of the product is unconsidered in the single property parameter degradation prediction of the product is solved; a multivariate hybrid time sequence model is put forward in considering monotonicity degradation trend, randomness and cyclical fluctuation in the product multi-functional parameter degradation process and the relativity of the characteristics among the property parameter; a failure criterion of the product multi-functional parameter degradation is put forward; the description to the multi-functional parameter degradation process is more comprehensive and the accuracy of the prediction result of multi-functional parameter accelerated degradation testing life is improved.

An exhaust gas analyzer includes a main flow path and at least one sub-flow path. Exhaust gas from an internal combustion engine is introduced to the main flow path; sub-flow paths are parallel to the main flow path. Plural kinds of analyzers are mounted on the main flow path and sub-flow paths to measure concentration of multiple components in the exhaust gas. Actual measurement values of the concentration for the measured components are obtained. A deviance from a true value generated to an actual measurement value due to a mutual influence of the measured components is corrected based on at least one actual measurement value.

The invention provides a modular multilevel converter (MMC) based solid-state transformer and a control method thereof. The solid-state transformer comprises a high-voltage AC/DC converter, an isolated DC/DC converter and a low-voltage DC/AC converter, wherein the high-voltage AC/DC converter is connected with the isolated DC/DC converter through a high-voltage DC bus, and the isolated DC/DC converter is connected with the low-voltage DC/AC converter through a low-voltage DC bus parallel module. In the MMC based solid-state transformer, a medium- and low-voltage DC side adopts a DC bus staggered parallel topological structure, so that the unbalanced mutual influence of a high-voltage side system and a low-voltage side system of the solid-state transformer is solved from structure, and the power supply reliability is automatically improved; with the mutually-balanced solid-state transformer based on an MMC structure, the influence of a three-phase unbalance on a power grid and the influence of three-phase unbalance occurring in the power grid on an AC load can be prevented by controlling the constant voltage of a high-voltage common DC bus.

The invention relates to a compensation method of pixel data, a time sequence controller and a liquid crystal display (LCD). The compensation method comprises: according to the positions of a plurality of backlight areas in a backlight module, determining a first compensation coefficient of each backlight area; according to the way of mutual influence between the position of each pixel in a display panel corresponding to the backlight areas and the backlight areas, determining at least one first compensation coefficient corresponding to each pixel; according to the at least one first compensation coefficient corresponding to each pixel, executing calculation and obtaining a second compensation coefficient of each pixel; and according to the second compensation coefficient of each pixel, respectively compensating the pixel data of each pixel. The image shown by the invention can avoid block artifact effect at the boundary dividing lines of the backlight areas caused by the difference inthe brightness of light sources provided by the backlight areas, thus ensuring the finally shown image to be comparatively smooth.

The invention discloses a mode control method of an interconnection system and the interconnection system. The mode control method comprises the steps that A. when a mobile terminal is in interconnection with display equipment, the display equipment detects the current working state of the mobile terminal and generates a corresponding mode control indication to be sent to the mobile terminal; B. the mobile terminal is automatically adjusted to be in a preset situational mode matched with the working state of the display equipment according to the mode control indication. When the mobile terminal and the display equipment are in interconnection, the mobile terminal can generate the corresponding mode control indication according to the working state of the display equipment, namely the content played by the display equipment, so that the mobile terminal is controlled and is automatically adjusted to be in the preset situational mode matched with the display equipment, mutual influence of the mobile terminal and the display equipment is avoided when the mobile terminal and the display equipment are used at the same time, automatic matching can be achieved, and a user can carry out controlling conveniently.

The invention relates to an assessment method for transient voltage stabilization of a load area of an electrical power system and belongs to the electrical power system stability analyzing and assessment field. The assessment method for the transient voltage stabilization of the load area of the electrical power system includes that using data measured by a synchronous phasor measurement unit as basis, and building an initial sample database for data mining through a lot of simulation samples; extracting characteristics for reflecting the stabilization degree of each node through the quantitative evaluation for each node in the area; identifying through a multiple linear regression method to obtain sensitivity coefficients for reflecting the mutual influence relations between the nodes in a local area network; using a semi-supervised clustering method to demarcate all the samples; using a decision tree algorithm to perform classified learning to obtain a decision tree model, and using the decision tree model for online monitoring to assess the global transient voltage stabilization state of the load area of the electrical power system.

The invention discloses a method for restoring sequence and path of a unit and simultaneously performing optimization. The method includes: 1) obtaining data required by optimization calculation; 2) confirming a black-start power source which is safe and reliable to operate, selecting a unit with proper capacity and around an important load to serve as a set of units to be restored; 3) building a multi-objective optimization mathematical model for optimizing unit restoring sequence and unit restoring path simultaneously by considering mutual influence of unit restoring sequence optimization and unit restoring path optimization, leading in DE-EDA for solving, and giving a plurality of Pareto optimized unit restoring sequences and unit restoring paths and putting sequence of lines in the path; 4) performing various safety verifications on obtained Pareto optimized restoring schemes by adopting a numerical simulation technology; 5) enabling decision makers to choose one scheme as a main restoring scheme from the verified Pareto optimized schemes, and using other schemes as backup restoring schemes.

The invention discloses a steady-state analysis method of an electric-natural gas area comprehensive energy system. The method comprises the steps of (1) performing modeling and solving on a natural gas system of the electric-natural gas area comprehensive energy system; (2) performing node pressure-load sensitivity analysis on the natural gas system; (3) based on natural gas system information and energy interaction information, structuring energy coupling link modeling and energy conversion analysis which take an energy concentrator as the core; (4) performing steady state solving on a power system; (5) structuring a steady-state analysis comprehensive solving model of the electric-natural gas area comprehensive energy system to obtain the influence led by network state change of the natural gas system. Aimed at an operational scenario of 'power determined by gas', the steady-state analysis method of the electric-natural gas area comprehensive energy system explores the influence of the network state change of the natural gas system on the natural gas system and the area comprehensive energy system and provides a certain theoretical foundation for energy mutual aid and mutual influence analysis in an energy Internet.