310 results about "Signal optimization" patented technology

This invention relates to one single cross mixture traffic signal control method by use of computer program, which comprises the following steps: summing up the automobile car number relative to standard car number by use of the computer program of the formula method and for the number of bicycle number; summing up each channel traffic flow standard car number per hour by use of data process program; signal machine judges and selects whether for single point time control type or signal sense control type or single optimization type for each type signal optimization scheme.

The invention discloses a method for detecting the conditions of microphone voice-grade channels and a terminal, and belongs to the field of mobile terminals. The method includes the steps that acoustical signals are acquired through each microphone; the characteristics of each acquired acoustical signal are extracted; whether abnormal conditions of the microphone voice-grade channels exist or not is judged according to the difference between the characteristics of the acoustical signals. According to the method, whether the abnormal conditions of the microphone voice-grade channels exist or not is judged through analysis of the difference between the characteristics of the acoustical signals collected through the microphones, signal optimization is carried out on an abnormal channel or a user is reminded to examine and handle the abnormal channel, and therefore speech quality can be improved.

The embodiment of the invention provides a non-signalized crossing optimization control method and system in cooperative vehicle infrastructure environment. The method comprises the following steps that roadside equipment sends driving state information sent by each vehicle-mounted unit to roadside management equipment; the roadside management equipment calculates road right information and vehicle speed guide information of each vehicle by using a preset crossing signal optimization model according to the driving state information of each vehicle passing through a crossing, in addition, the road right information and the vehicle speed guide information are sent to the roadside equipment, and the roadside equipment sends the road right information and the vehicle speed guide information to corresponding vehicles. The method and the system provided by the embodiment of the invention have the advantages that the road right information and the vehicle speed guide information of each vehicle are calculated according to the preset crossing signal optimization model and the optimized green light time based on a sliding time window T, the real-time interactive guide control with vehicle individuals is realized, and the vehicles at the crossing are subjected to speed optimization guide, so that the intelligent traffic control efficiency of the crossing is improved.

A sound processing system adaptively mixes active matrix decoding and passive matrix processing of incoming audio signals. Mixed output signals are generated with active matrix decoding where the audio signals are stereo. Mixed output signals are generated with passive matrix processing where the audio signals are monaural. The sound processing system reduces the degree of active matrix decoding in the mixed output signals where the incoming audio signals are stereo and monaural. The sound processing system also generates virtual stereo signals from incoming audio signals having monaural signals. Mixed output signals are generated of the virtual stereo signals using active matrix decoding.

A data discriminating unit includes a data discriminator and a sync signal discriminator. A data sync signal is detected for the bit string discriminated from the output of the sync signal discriminator, and the data is demodulated for the bit string discriminated from the output of the data discriminator, thereby optimizing the signal to a form suitable for discrimination and detection of the data sync signal and demodulation for data reproduction. As a result, the detection performance of the data sync signal can be improved while maintaining the data discrimination performance. A Viterbi decoder is used for discrimination by the data discriminator and the sync signal discriminator for the optimization thereby to optimize the number of states, the number of paths for state transition and the path memory length. A signal having no continuous inversions of the recording data is used as the data sync signal.

Systems and methods for reducing signaling traffic in the provision of data services to a plurality of user endpoints (UEs). The UEs are in communication with a radio access network, which is the in communication with an IP multimedia subsystem (IMS) core for providing data service to the UEs, the data service including a videoshare service. The systems and methods involve providing an application server (AS) that during operation communicates with the IMS core and serves as a data service registrar for the UEs, and providing logic in the AS configured to receive from a first UE of the plurality of UEs videoshare capabilities information of the first UE, cache the first UE videoshare capabilities information and send to a second UE of the plurality of UEs the cached first UE videoshare capabilities information.

The invention discloses a traffic demand forecasting method and system for a dynamic road network. According to the invention, multi-source traffic data is collected and integrated all the time; dynamic grid data is formed through overlapping traffic flow data, geographic information data and traffic management information on the road network; and a data forecasting model is established on the basis of dynamic road network data. The method has characteristics of good real time performance, high accuracy and the like, can improve jamming study and judge precision effectively, so as to provide reasonable traffic demand data (queue, flow, speed, occupancy rate and the like) for signal optimization. The system can improve an optimization model and relieves traffic jams.

Recently, with the wider use of cellular phones, more and more users listen to music via their cellular phones, and thus, the perceptual sound quality of music provided via the cellular phones became more critical. Since music signals are encoded by a voice encoding method optimized to human voice signals such as EVRC (Enhanced Variable Rate Coding) in a cellular communication system, the music signals are often distorted by such encoding method, and listeners experience pauses in music caused by such voice-optimized encoding method. To improve the perceptual sound quality of music, a method for preprocessing digital audio data is provided in order to prevent the problem of pause in music signals in a cellular phone. In particular, AGC (Automatic Gain Control) preprocessing and PHE (Pitch Harmonics Enhancement) is performed to the digital audio data having low dynamic range. By this method, the number of pauses in music signal is reduced, and the perceptual sound quality of the music is improved.

The invention proposes an urban road trunk line coordination control and signal optimization method based on the characteristics of a vehicle-road coordination environment. The method comprises a trunk line road guide vehicle speed calculation method under the vehicle-road coordination environment, a vehicle formation method and an adaptive timing optimization method. The method comprises the steps that the influencing factors of the vehicle-road coordination environment on vehicles are determined; the vehicle flow rule and the running state of vehicles in trunk line coordination are analyzed;according to the signal cycle and the phase difference, speed guide of the head vehicle is carried out; the running mode of formation vehicles in trunk line coordination control is determined; and the signal timing of an intersection is optimized in real time through the vehicle formation information. On the premise that the traffic flow of a trunk line passes through the intersection without stop, the traffic capacity of other phases of the intersection is improved. Traffic jam is solved. The service level of a traffic system is improved.

The invention relates to an optimized control method for traffic signals at a road junction, which is based on adaptive dynamic-programming optimized control and comprises: a step 1 of designing the most basic fuzzy neural network traffic signal controller for the road junction; a step 1 of acquiring state variables and control variables in a certain period; a step 3 of constructing a training error signal by using the state variable, the control variable, an evaluation variable and the like of a certain time and training an artificial neutral network evaluator; a step 4 of constructing a training error signal by using the artificial neutral network evaluator and training the fuzzy neural network traffic signal controller; a step 5 of making the artificial neutral network evaluator and the fuzzy neural network traffic signal controller meet preset training index requirements at the same time; a step 6 of using the training data of a next time to repeat the steps 3, 4 and 5 till the training data of the whole time period are used; and a step 7 of finally acquiring the optimized fuzzy neural network traffic signal controller and transmitting the optimized fuzzy neural network traffic signal controller to a road junction machine to control the traffic signals.

A method for controlling mobile terminated (MT) data in a wireless communication system and a device therefor are disclosed. The method for controlling MT data by a user equipment (UE) in a wireless communication system includes receiving paging from a network and transmitting a tracking area update (TAU) request message to a mobility management entity (MME) in response to the paging when an EPS update status of the UE is EU2 NOT UPDATED due to an unsuccessful attempt of a last TAU procedure of the UE upon receiving the paging, wherein when the UE is using only signaling optimization to enable delivery of user data over a control plane via the MME, a first active flag in the TAU request message is set.

The invention relates to a lane-based real-time queue length prediction method and belongs to the technical field of intelligent transportation. The method, based on a traffic wave theory and a Robertson motorcade discrete model, compensates for the defect of a conventional queue length model which assumes that the arrival of vehicles complies with the same distribution (such as Poisson distribution), obtains the real-time number of vehicles passing by an upstream intersection and the license plate number data based on video detection data, obtains the proportions of vehicle traffic flow driving from different phases of the upstream intersection to different lanes of a downstream intersection, comprehensively takes account of the signal design of the upstream and downstream intersections,the length of a road section, and the discrete arrival characteristic of vehicles to predict the queue length in different lanes in real time, converts passive queue length estimation into active queue length prediction, and contributes to the signal optimization design of the associated intersections or the crowded road section in advance, so as to alleviate traffic congestion and improve a traffic environment.

The invention discloses a user terminal detaching method, which comprises that: when a first user mobile control management entity of a first radio access type RAT system registered by a user terminal in an idle state does not receive a periodic position update request sent by the user terminal before a first user reachable timer overtimes, the first user mobile control management entity sets a first reachable state parameter value used for recording the update state of a periodic position area as nonupdated; the first user mobile control management entity checks the activation state of an idle state signaling optimization ISR function of the user terminal according to the context of the user terminal; and when the ISR function of the user terminal is activated and a second reachable state parameter value used for recording update state of the periodic position area in a second user mobile control management entity of a second RAT system registered by the user terminal is not updated, the first user mobile control management entity detaches the user terminal.

The invention provides a traffic flow sequence classification method based on density peak value clustering. The traffic flow sequence classification method utilizes distance variance for measuring similarity degrees of subsequences, and comprises the steps of: calculating local density of each subsequence, measuring mutual cluster degrees between sequences, and searching for a clustering center by combining the local density with sequence spacing, wherein the sequence spacing is used for measuring class separability; and classifying sequences of non-clustering center by utilizing a density value, so as to obtain reasonable groups of the traffic flow sequences, and finally output a clustering result. According to the traffic flow sequence classification method, the subsequences of the same class can adopt the same time period dividing scheme and signal control scheme, and the workload of time period division and signal optimization under a timed control strategy is reduced on the premise of guaranteeing operation efficiency of the traffic flow.

The invention discloses a traffic condition analysis system. The system includes a data access module, a data analysis module, a road condition monitoring module, and a signal optimization module. Thedata access module is used for accessing the attribute information and road traffic information of a traffic network, wherein the traffic network includes road intersections and sections; the data analysis module is used for analyzing the attribute information and the road traffic information and generating the road condition parameters of the traffic network; the road condition monitoring moduleis used for monitoring the road condition of the traffic network based on the road condition parameters and generating a road condition monitoring result of the traffic network. The signal optimization module is used for adjusting the phase signal of a road intersection signal lamp according to the attribute information and the road condition parameters to generate the phase signal adjustment scheme of the road intersection signal lamp. The system monitors the traffic condition of the road intersections and sections, and optimizes the overall traffic conditions of the road intersections, so as to make the traffic condition analysis of the traffic network more comprehensive.

The invention relates to the field of intelligent traffic management, in particular to an intersection traffic road condition detection system for intelligent control of traffic signals. A road condition monitoring device detects the queue length of lanes coming from each direction of intersections, a comparison module compares the queue length of the lanes coming from different directions and generates a comparison result, and a signal optimization module generates traffic signal control information suitable for a current traffic condition according to the comparison result. A traffic signalcontroller adjusts the setting time of the traffic signals of traffic lights at the intersections according to the traffic signal control information, the time proportion of green lights of the traffic lights corresponding to road direction with longer queue lengths is increased, the setting time of the traffic lights is optimized, and the occurrence of traffic jams caused by long queue times is reduced.

The present invention provides a road crossing signal dynamic regulation method based on online traffic simulation. The method comprises: calculating the current traffic operation parameters in the current signal timing scheme according to the current traffic flow data; performing signal optimization timing calculation according to the current signal timing scheme and the traffic data, and obtaining an optimized signal timing scheme; performing traffic simulation aiming at the optimal signal timing scheme, and obtaining simulated and outputted traffic operation parameters; and finally, comparing the simulated traffic operation parameters with the current traffic operation parameters, if the simulated traffic operation parameters exceed a presetting threshold, outputting the optimal signal timing scheme, and performing road crossing signal timing through adoption of the optimal signal timing scheme. The road crossing signal dynamic regulation method, device and system are able to provide different signal timing schemes for signal lights at the crossing aiming at road traffic flow at different time periods so as to improve the passing efficiency of a crossing and ensure that the crossing is able to operate in the optimal mode all the time in the condition that the road crossing operates at the optimal timing scheme.

The invention belongs to the field of urban road intersection control and relates to a traffic signal control method for road intersections. The present invention provides an idea of combinatorial optimization from the two-dimensional perspective of time allocation and space allocation, uses a variable steering strategy and a signal optimization strategy simultaneously at a signal intersection, and clears remaining vehicles in a lane by setting a pre-signal, and the operability problem in a process of changing the attributes of a variable guided lane. From the collection of traffic data to thetriggering and operation of the function change of the variable guided lane, and to the optimization of an intersection signal system, the method provides a systematic, complete and implementable technical solution to reduce vehicle delays at the intersection and improve the service level at the intersection.

An apparatus and method based on image for detecting heart rate activity is provided. The method includes: obtaining a plurality of color images; based on a complexion target condition, defining a target region; performing color composition analysis on the target region to obtain red channel signal, green channel signal and blue channel signal, respectively; performing independent component analysis on separate red, green and blue channel signals to obtain separate first independent component signal, second independent component signal and third independent component signal; performing frequency domain transform, signal energy computation and signal optimization processes on separate first, second and third independent component signals to obtain a filter signal, comparing filter signal based on a pre-set condition to determine if target region belonging to a human, and performing a physiological information analysis.

The invention discloses a single-point adaptive control method based on an array radar, wherein the method mainly relates to the field of intersection traffic signal adaptive control. The single-point adaptive control method realizes dynamic prediction and signal optimization for traffic state of a single intersection through a characteristic that a novel array radar detector can detect positions and speeds of vehicles in an inlet lane. The method comprises the steps of determining a signal base solution; detecting an initial queue length at the intersection according to the array radar, and calculating initial green light time; acquiring vehicle information of each inlet lane, and predicating time in arriving at a stopping line, and determining state of the vehicle in passing the stopping line; calculating the delay and number of parking times of each vehicle; and determining a phase switching decision. Through arrayed radar technology, the single-point adaptive control method has advantages of performing accurate detection for real-time traffic state of each inlet lane of the single intersection, performing adaptive control and improving operation efficiency and service level of the intersection traffic.

The invention provides a system and a method for optimizing a multilevel self-adapted disturbance attenuation traffic signal. The method comprises that mass data information is collected; and smoothing is carried out to the data according to historical data, data jump characteristics are filtered, and tendency cycle calculation is carried out to the smoothed data. When tendency cycles have the same tendency demand in a continuous period, an intersection cycle generation optimizing scheme will be adjusted; a cycle and a phase difference of an annunciator are adjusted, and a green time ratio is finely adjusted; and fine adjustment is carried out according to the optimization scheme. By virtue of annunciator coordinating induction in a subarea, the annunciator carries out real-time adjustment of green light time at each phase by inductive control according to detected traffic flow data so as to make green time ratio distribution tend to be rational. An intersection can rapidly get adapted to changes of a traffic flow, periodical self-adaptive changes can also be realized at the intersections in a whole area, and the green time ratio can realize self-adaptive adjustment according to a traffic state at each direction, so that intersection emptiness and queuing can be reduced, orderly release of car flows at the intersections can be realized, and an intersection passing efficiency can be increased greatly.

The subject matter described herein includes methods, systems, and computer program products for policy management for signaling optimization in a wireless network. According to one system, a policy control function (PCF) is configured to provide policy management in a communications network. The PCF includes a client services node (CSN) that provides front-end interfaces to a client device. An update target calculation engine (UTCE) is configured to asynchronously calculate updates to the client device without waiting for the client device to request the configuration updates. A generic update delivery system (GUDS) receives the updates from the UTCE and delivers the updates to client devices.

The embodiment of the invention provides a deleting method and system of EPS load, aiming to delete idle EPS load and increase the utilization of network resources. The deleting method comprises the following steps: a first user mobile control management entity receives the attach request of user equipment; when the first user mobile control management entity determines that idle state signaling optimization ISR function identification of user equipment is triggered according to the context stored in the management entity of user equipment, the first user mobile control management entity triggers itself, and a second user mobile control management entity initiates the process of deleting the EPS load of user equipment, wherein the second user mobile control management entity is another wireless access type user mobile control entity registered by user equipment when the ISR function is triggered.

The invention discloses a rhythmicity physiological signal optimization method and device. The method includes the following steps: local energy enhancement is carried out on alternating current partof rhythmicity physiological signal, and peak location is confirmed. The invention enhances characteristics of systole by local energy enhancement technology and inhibits noise, thus improving accuracy of measurement.

The invention discloses a signaling optimization method and a signaling optimization system for MTC devices set together. The following steps are performed in both the method and the system: an R-MD and a MTC UE which are set together are directed to a same mobile management unit, and an association relationship between the R-MD and the MTC UE is established; subsequent mobility management flow is performed by the R-MD instead of the MTC UE based on the association relationship; and the R-MD is used to represent the MTC UE, and is a terminal similar to the MTC UE. For the MTC UE set together, the method and the system provided in the invention can realize optimization for signaling associated with mobility management according to the characteristics of the MTC UE, reduce the mobility management signaling, signaling peak value and electrical loss of the terminals, at the same time when the MTC devices can communicate with respective MTC servers independently.

The invention discloses a signal timing optimization method of an intersection with a construction area. The method comprises the following steps: step 1, calculating the saturation flow rate of an island type construction area; step 2, calculating the time when the release rate state of the inlet channel changes; step 3, calculating the vehicle delay of the entrance road of the intersection; step4, calculating the phase emptying time under the condition of having the construction area; and step 5, establishing an objective function and solving an optimal solution as the signal timing in caseof having the construction area. The FVD model is improved and the saturation flow rate model of the island type construction area at the signal intersection is put forward. The island type construction area intersection signal optimization model is proposed on the basis of the vehicle arrival-departure delay model so as to ensure the traffic safety of motor vehicles and non-motor vehicles to themaximum extent at the intersection of the island type construction area. The island type intersection has better signal optimization and the passengers are ensured to have better travel experience.

The invention relates to a message-based complex network traffic signal optimization control method, which comprises the steps of: establishing a traffic network model, and initializing parameters of the traffic network model; initializing signal lamp switching time of each network node and time for a vehicle to arrive at each node; establishing a traffic network system delay function, and establishing message passing functions among the network nodes; calculating time for the vehicle to arrive at the nodes; solving a minimal value of the traffic network system delay function, arriving at new values for establishing the message passing functions among the network nodes, and transmitting the values to upstream and downstream nodes; and returning to the step 3 to carry out loop iteration processing, and stopping the loop iteration when an optimal state is achieved. According to the message-based complex network traffic signal optimization control method provided by the invention, traffic signal control and vehicle driving path need to be optimized in a complex regional traffic system, so as to realize management and control on urban road traffic, and the message-based complex network traffic signal optimization control method has the advantages of being stable and reliable, high in environmental adaptability and high in real-time performance of algorithms, and having higher system optimization efficiency.

The invention discloses a nonlinear teleoperation bilateral control method based on adaptive fuzzy inversion. According to the nonlinear teleoperation bilateral control method, a signal optimization function is designed at the slave end, thus a position signal transmitted by a master end through a communication channel is optimized, and a corresponding speed and acceleration signal is generated atthe slave end; through fuzz estimation of non-power environment parameters at the slave end and reconstitution of environmental force of the master end, transmission of the power signal at the communication channel is avoided, and the problem of balance of passivity, stability and transparency of a traditional teleoperation system is avoided; aiming at the problems of nonlinearity, model uncertainty and parameter uncertainty of a bilateral teleoperation system, a nonlinear controller based on inversion is provided by the invention, model information of a fuzzy system approximation system is adopted, the adaptive rate for on-line adjusting the fuzzy system parameters is designed based on a Lyapunov theory, and it is ensured that the system has the good stability and convergence.

The invention discloses a traffic signal optimization method, and relates to the field of traffic signal control. The method comprises the following steps of: A: establishing a root node T(n) of a decision tree; B: self-increasing n by 1; and establishing a node T(n) corresponding to each u(n) in Uad according to constraint conditions, and connecting T(n) serving as a sub-node of T(n-1) to the decision tree; C: judging whether n is equal to N, if the n is equal to N, executing a step D, otherwise, performing pruning operation on the decision tree, and then executing the step B; D: finding outa branch with the minimum total waiting time from the decision tree to obtain a corresponding control sequence; and E: outputting a control sequence for previous k green light phases according to thecontrol sequence, and executing the step A. Through the traffic signal optimization method, the total waiting time of all vehicles at road crossings can be obviously shortened, meanwhile, since the pruning operation is performed on the decision tree, the method has controllable amount of calculation and is convenient to popularize.

A method and system for dynamically adjusting Discontinuous Reception (DRX) settings of user equipment (UE) is disclosed. The method dynamically adjusts DRX settings based on network operator provided service or location of the UE and converged services supported by the network and so on. The UE indicates the network for adjusting DRX settings when DRX settings needs to be changed based on above parameters. Further, the wireless network provides the DRX settings to UE based on parameters. The method provides subscription information of the UE to access network. The method dynamically adjusts the DRX settings when the UE is in a Femtocell area or the UE associated with features like One Number. The UE can initiate a inter UE session transfer to the other UEs. The UE indicates the network that the sessions have been transferred. The network applies possible signaling optimizations to the UE.