33 results about "Two time scale" patented technology

Time-resolved optical tomography systems using a short pulse laser, may be used in detection and treatment of cancer and tumors. Information is conveyed about tissue interior by the temporal variation of the observed scattered, and reflected measured when short-pulse lasers interact with scattering-absorbing media like tissue. Multiple scattering-induced temporal signature that persists for time periods greater than the duration of the source pulse and is a function of the source pulse width, the scattering and absorbing properties of the medium, and the location in the medium where the properties undergo changes. If the detection is carried out on the same short time scale (comparable to the order of the pulse width), the signal continues to be observed even for long durations after the pulse has been off due to the time taken for the photons to migrate to the detector after multiple scattering in the tissue media.

A method for two time-scales video stream transmission control is proposed, which mainly includes the following three steps. Firstly, a model-based long time-scale bandwidth trend extraction step is proposed to calculate a current bandwidth through a Transmission Control Protocol (TCP) throughput model, and predict a trend of network bandwidth by using an Exponential Smooth Model (ESM) according to the calculated current bandwidth. Secondly, a short time-scale bandwidth fluctuation detection step is proposed to divide a network status into three categories and according to different network statuses, additively increase or multiplicatively decrease the estimated bandwidth. Thirdly, a target bit rate adjustment step based on two asymmetrical thresholds is proposed to set an up-threshold and a down-threshold of bandwidth to avoid frequently adjusting a target bit rate of an encoder. The method can satisfy the requirements of TCP-friendliness, real-time, and smoothness for the video transmission.

The invention discloses an optimizing and dispatching method for microgrid economical operation on the basis of multiple time scale coordination, comprising the following steps: dividing microgrid economical operation into two time scales, namely a dayahead plan and real-time dispatching; in the dayahead plan, dividing one dispatching period into a plurality of time intervals, and modelling into a mixed integer linear programming program based on the dayahead prediction data; and during the real-time dispatching period, complying with the startup and halt result of the dayahead plan, and modelling into a nonlinear plan based on real-time ultra-short term prediction data. In the optimizing and dispatching method, the coordinated mechanism of two time scales is designed, the dispatching scheme obtained with the method not only can satisfy the economic factors of a long time scale but also can satisfy safe operation constraints, such as the inner microgrid voltage, carrying capacity and the like of short time scales, and the capacity fluctuation of new energy is smoothened. The method is suitable for optimizing and dispatching economical operation in the parallel and single network operation of a micro power grid composed of a controllable power supply, an uncontrolled power supply and energy storage equipment of any type and any volume proportion.

A system for cardiac event detection over varying time scales includes implanted electrical leads forming a portion of an implanted cardiotracker and external equipment including external alarm mechanisms and a physicians programmer. The cardiac event detection system monitors the degradation of a patient's cardiovascular condition from one or more causes. A processor computes the electrical signals of a heart signal parameter's average value over a time period for a multiplicity of heart rate ranges. The electrical signals are stored and information transmitted to external equipment.

The invention discloses a method for quantitatively analyzing intermittent energy synergistic effect based on a time domain, and belongs to the technical field of new energy power-generation grid-connection. The method comprises the following steps: analyzing intermittent energy long-term synergistic effect from two time scales of years-months and days based on related coefficients; determining an intermittent energy daily output fluctuation characteristic classification method based on fuzzy classification; computing two intermittent energy synergistic effect indexes: the intermittent energy synergistic effect related coefficient and an intermittent energy synergistic effect fluctuation index; analyzing intermittent energy years-months and days scale synergistic effect according to the intermittent energy synergistic effect related coefficient; and analyzing intermittent energy short-term synergistic effect based on the intermittent energy synergistic effect fluctuation index. The synergistic effects of the intermittent energies are analyzed from the time scales in different levels to determine the relevance and complementary between the intermittent energies, and the theoretical basis and guidance are provided for the power network planning containing a high permeability intermittent energy regional power grid.

The invention discloses a millimeter-wave intelligent metasurface channel estimation method with dual time scale cooperative perception. Firstly, the corresponding sensing signal is designed based on the maximum distance between the base station and the smart metasurface, and the maximum blind zone distance is determined; then the corresponding sensing beamforming vector at the base station is designed. Secondly, by designing the phase shifter phase of the smart metasurface, a large time-scale collaborative sensing is performed between the base station and the smart metasurface to obtain the equivalent channel between the two. Finally, by sequentially turning on the smart metasurface units and receiving the training sequence sent by the user at the base station, the channel state information between the user and the smart metasurface in a small time scale is obtained. The present invention can accurately estimate the channel between the user terminal and the intelligent metasurface with relatively low pilot frequency through the real equivalent quasi-static channel obtained by cooperative sensing, so as to improve the performance of the communication system.

The invention relates to a method for aligning section raw data on the basis of double time scale quantitative evaluation measurement point delay and performing prediction and modification. By the method, multi-source section raw data with different delay can be aligned. According to data delay differences among different regions, different stations and different transmission types, the method comprises the following steps of: quantitatively evaluating delay time of each measurement point by using sampling sequences with two time scales; predicting and modifying the current numerical value through an autoregression-sliding average model; evaluating the precision grade of the numerical value and a delay distribution interval; and providing for a state estimator. By the method, the data delay of different measurement points can be quantified accurately; the current section numerical value of the measurement point can be predicted and modified according to the delay; and precision weight is endowed, so that the aligned multi-source real-time data is integrated into a section closer to the operation condition of the current power grid.

The invention discloses an active balance control performance evaluation method based on electric power system reliability. The method comprises steps that safety frequency requirements are determined; adequacy frequency requirements are determined; evaluation indexes are designed. According to the method, a new adequacy index, namely frequency loss expect is constructed, a deviation degree and probability of electric power system frequency after an accident are quantitatively described to reflect influence of accident disturbance on power supply capability of an electric power system; adequacy and safety requirements of the electric power system are both considered, long-term (a range from a month to a year) and short-term (minute-level) time scales are employed, the accumulation off-limit time and the continuous off-limit time of the frequency are respectively limited, in combination with the safety adequacy index, through theoretical derivation, analysis expressions of the evaluation indexes are acquired, long-term and short-term frequency fluctuation situation situation requirements under a stable state are realized, and complete theoretical bases are realized.

The invention discloses an optimal dispatching model of a micro-energy network considering multiple energy storages under multi-time scales, and relates to the field of optimized operation of the Energy Internet. The micro-energy network includes three energy forms of electricity, heat and gas, including P2G Supply-type micro-gas turbines, electric boilers, gas boilers, batteries, heat storage tanks, and gas storage tanks; multi-time scales consider the two time scales of 1 hour before the day and 15 minutes within the day, and the establishment process of the optimal scheduling model of the micro energy network includes The following steps are as follows: step 1, determine the component parameters and network parameters of the micro energy network; step 2, establish the optimal scheduling model of the micro energy network at the level of 1 hour before the day; step 3, establish the optimal scheduling model of the micro energy network at the level of 15 minutes within the day. The present invention effectively copes with renewable energy power fluctuations and load prediction errors under the premise of ensuring the daily operating energy balance of each energy storage device, and improves the ability of the micro energy network to accommodate wind power and photovoltaics.