1945 results about "Cost (economic)" patented technology

Neural networks are constructed (programmed), trained on historical data, and used to predict any of (1) optimal patient dosage of a single drug, (2) optimal patient dosage of one drug in respect of the patient's concurrent usage of another drug, (3a) optimal patient drug dosage in respect of diverse patient characteristics, (3b) sensitivity of recommended patient drug dosage to the patient characteristics, (4a) expected outcome versus patient drug dosage, (4b) sensitivity of the expected outcome to variant drug dosage(s), (5) expected outcome(s) from drug dosage(s) other than the projected optimal dosage. Both human and economic costs of both optimal and sub-optimal drug therapies may be extrapolated from the exercise of various optimized and trained neural networks. Heretofore little recognized sensitivities-such as, for example, patient race in the administration of psychotropic drugs-are made manifest. Individual prescribing physicians employing deviant patterns of drug therapy may be recognized. Although not intended to prescribe drugs, nor even to set prescription drug dosage, the neural networks are very sophisticated and authoritative "helps" to physicians, and to physician reviewers, in answering "what if" questions.

A path planner and a method for determining a path for a vehicle comprises defining a starting point for the vehicle. A termination point is defined. An obstacle detector detects one or more obstacles in a work area between the starting point and the termination point. A boundary zone is defined about each corresponding obstacle. Candidate paths are identified between the starting point and the termination point. Each candidate path only intersects each boundary zone once for each corresponding obstacle. An economic cost is estimated for traversing each candidate path or a portion thereof between the starting point and the termination point. A preferential path is selected from the identified candidate paths based on the preferential path being associated with a lowest estimated economic cost.

The embodiment of the invention discloses a processing method and a system for risk monitoring and controlling of the transaction data. The method comprises the following steps: receiving the transaction data generated in the business processing information; calling the related transaction data of the transaction data according to the transaction data; calculating the risk monitoring index data threshold value according to the transaction data and the related transaction data; judging that the business processing information generating the transaction data is quasi-risk business processing information when the transaction data is more than the risk monitoring index data threshold value; and setting the quasi-risk business processing information into the risk business processing information. The method and the system of the invention can automatically generate a risk control threshold value, identifies and controls the risk according to the different conditions, can provide a risk monitoring process flow and a rule improvement mechanism, thus saving the economic cost, improving the accuracy and the efficiency of the risk event checking, and greatly improving the monitoring efficiency and effect of the banking business risks.

Methods for the diagnosis and evaluation of stroke and stroke sub-type employ a variety of bio-markers including cellular fibronectin (c-Fn) assembled as a panel for stoke diagnosis and evaluation. Methods are disclosed for selecting markers and correlating their combined levels with a clinical outcome of interest. In various aspects the methods permit early detection and differentiation of stroke subtypes, determination of the prognosis of a patient presenting stroke symptoms, and identification of a patient at risk for early hematoma growth and / or malignant massive cerebral artery infarction. The disclosed methods provide rapid, sensitive and specific assays to greatly increase the number of patients that can receive beneficial stroke treatment and therapy, and to reduce the human and economic costs associated with incorrect stroke diagnosis.

A method and system for locating harvested material comprises receiving material data including material location data on a material location of harvested material within a work area. Background data is obtained. A location-determining receiver determines a forwarder location of a forwarder. An estimator estimates economic cost factors associated with corresponding candidate paths or segments of candidate paths between the forwarder location and the material location. A selector selects a preferential planned path between the forwarder location and the material location consistent with the material data, background data, and minimization of the economic cost factors.

The invention discloses a dual-layer optimization method for power distribution network expansion planning and light storage locating and sizing. The method comprises the steps of building an upper-layer optimization model for active power distribution network expansion planning: determining a target function and constraint conditions of the upper-layer model; building a lower-layer optimization model for light storage capacity configuration: determining a target function and constraint conditions of the lower-layer model; and solving the upper-layer model and the lower-layer model: executing an upper-layer model optimization method, a lower-layer model optimization method and a dual-layer optimization method. According to the method, the built dual-layer optimization models taking a distribution network enterprise and users as subjects and taking calculation of optimal economic cost as a target comprehensively analyze economic influence of light storage system access and power distribution network expansion planning on the distribution network enterprise and the users; a planning model taking annual cost expense as a target function can well assess the economy of a power distribution network; and the light storage system can be reasonably configured, so that the power purchase costs of the users are effectively reduced, the on-spot consumption of photovoltaic energy is increased, and the network loss of a power distribution system can be effectively reduced.

The invention relates to the technical field of fruit growing and in particular relates to a growth regulator for improving the fruit setting rate of peaches and a regulating method. The growth regulator comprises the following components of gibberellin and auxin, wherein the auxin may be one of 1-Naphthalene acetic acid, sodium alpha-naphthyl acetate, indoleacetic acid, phenylacetic acid, indolebutyric acid, indoleacetic acid and 2,4-dichlorphenoxyacetic acid, and the growth regulator is sprayed after the peaches bloom. The growth regulator provided by the invention is easy to obtain and prepare and low in economic cost, and can effectively remedy deficiency of endogenous hormone caused by poor fertilization of peaches; the method for applying the growth regulator provided by the invention is simple and convenient and easy to operate and control, effectively solves the problem that in the growing of peaches, the fruit setting rate is influenced by abnormal weather in a flowering phase, shriveled flower buds, overly rapid warming and the like, improves the fruit setting rate by more than 34 times, and is obvious in effect and applicable to popularization and application in the production of peaches in common peach orchards, green houses and other facilities.

A method and system for locating harvested material comprises receiving material data including material location data on a material location of harvested material within a work area. Background data is obtained. A location-determining receiver determines a forwarder location of a forwarder. An estimator estimates economic cost factors associated with corresponding candidate paths or segments of candidate paths between the forwarder location and the material location. A selector selects a preferential planned path between the forwarder location and the material location consistent with the material data, background data, and minimization of the economic cost factors.

The invention provides a simulation test system and a simulation test device of train network control software. The simulation test device comprises a man-machine interaction unit, a controlled plant creating unit, a vehicle-mounted electrical connection creating unit, a simulation interface creating unit and a simulation control unit, and the simulation test system of the train network control software comprises at least one group of pull-in control unit test systems; each pull-in control unit test system comprises the simulation test device and at least one set of network control system core equipment which comprises a central control unit, the central control unit is switched into a vehicle bus and a train bus, and the simulation test device is switched into the vehicle bus; and the central control unit is electrically connected with a hard wire of the simulation test device, and the simulation test devices in two or more than two pull-in control unit test systems are connected through an Ethernet. The simulation test system and the simulation test device provided by the invention can directly service development and test of the train network control system software, and can quickly construct an experimental model, shorten development cycle, and reduce economic cost.

The invention relates to a regional energy internet multi-source coordinated optimization operation strategy considering time-of-use power price. The strategy is technically characterized by comprising the following steps that step 1, the initial data parameter of a regional energy internet system is inputted; step 2, cold / heat / electric flexible load response under the time-of-use power price is analyzed, and two classes of response models of cold / heat / electric flexible load are constructed; step 3, a regional energy internet system optimization scheduling model of the minimal economic cost and the operation constraint conditions thereof are constructed; and step 4, the regional energy internet system optimization scheduling model of the minimal economic cost is solved by using a Hessian interior point method. The regional energy internet renewable energy consumption level can be enhanced, and the strategy is also significant for realizing economic and safe operation of the system.

The invention relates to an active power distribution network multi-target layered planning method considering demand side management and energy storage; the method comprises the following steps: building a dual-layer model; the upper planning model integrally considers various economic costs of a power distribution company in a planning process and the reliability and stability of the power distribution network as the upper layer goals, considers the demand side management and energy storage equipment investment and economic benefits, and determines a target function and constraint conditions; the lower planning model takes the minimum distribution power resection volume in the planning process as the target function, considers the maximum effective utilization of the distributed power supply, reduces the distributed power supply output via wind and light curtailment measures, and adjusts transformer tap joint and reactive compensation equipment to carry out active control. The methodcan improve the power supply reliability and distribution network operation stability, and can delay power grid upgrades.

The invention discloses a tunnel boring machine active source three-dimensional seismic advanced geology exploration device and method. The device comprises a tunnel boring machine cutterhead and a tunnel boring machine body connected with the cutterhead, wherein a main control room is arranged in the tunnel boring machine body; a controller and a multichannel seismic wave data collecting instrument are arranged in the main control room; seismic source systems are respectively arranged at the front ends of the tunnel boring machine cutterhead and the tunnel boring machine body; a data collecting system is arranged at the rear part of the working surface of the tunnel boring machine body according to certain space observation mode; the controller is respectively connected with the multichannel seismic wave data collecting instrument, the seismic wave systems and the data collecting system; the multichannel seismic wave data collecting instrument is connected with the data collecting system. The device has the benefits that rapid, flexible and automatic arrangement of a seismic wave and a detector system is realized, the maintenance time of the tunnel boring machine is sufficiently utilized, the work efficiency of geological advanced prediction is greatly improved, the normal construction is not disturbed, and time cost and economic cost are saved.

The invention belongs to the fields of the state monitoring and the fault diagnosis of vehicles, ships, engineering machinery, locomotive cars, engines, and the like by applying noise signals, in particular to a mechanical fault judgment system and method based on noise test, particularly suitable for complicated mechanical machinery which can not be provided with various sensors. The system comprises a high-frequency microphone, a sound card, a PC (Personal Computer) and a telescopic bracket, wherein the high-frequency microphone is fixed on the telescopic bracket and connected with the sound card, the sampling frequency of the high-frequency microphone can meet the requirement of the Nyquist theorem, and the sound card is connected with the PC. On the basis of combing the extraction andfractal algorithm of an energy band, noise signals in machinery operation are acquired and calculated to test mechanical faults by using the method; the system is simple to set, the economic cost is decreased, and the operation safety and the fault diagnosis accuracy are improved.

The invention discloses an image fuzzy region automatic detection method and system. The method comprises the following steps of extracting a clear image sample and a fuzzy image sample from a preset image database, training parameters of a deep convolutional neural network model by utilizing the clear image sample, the fuzzy image sample and a preset network structure, and obtaining network models of the clear image sample and the fuzzy image sample; inputting all small image blocks to the trained model, and performing prediction of the deep convolutional neural network models of the small image blocks in sequence according to the same model structures and the trained parameters, until clear confidence degrees and fuzzy confidence degrees of all the small image blocks are finally obtained; and performing operation on the clear confidence degrees and the fuzzy confidence degrees of all the small image blocks to obtain a definition score of a whole image. According to the method and the system, the time and economic costs of manual tagging can be reduced, the automation degree can be improved, and the network performance can be ensured.

The invention relates to a rapid bridge detection method, which belongs to the technical field of civil engineering application. Firstly, a loading test vehicle with known axle load and wheelbase is adopted for loading to measure response of a test point; then, a method of adopting a specific function (piecewise polynomial and sine wave stacking) to fit the dynamic response of the test point is adopted to extract influence line information of the bridge; a tire-pavement stress distribution emprical formula is introduced to build a tire-pavement contact force trapezoid distribution model; in combination of the actual influence line information and the vehicle tire-pavement contact force distribution model, a linear superposition method is adopted to reconstruct bridge test point response information under different vehicle load combination effects, and thus, rapid bridge detection based on the influence lines is realized. Based on few driving tests on a single vehicle, the actual influence line information can be acquired rapidly and accurately, the bridge response information under different static load combination working conditions is reconstructed, rapid bridge detection is achieved, and the defects that the existing bridge detection method is long in consumed time, high in economic cost and long in traffic block time can be solved.

The invention relates to a hybrid sub-module MMC (multimedia card) converter with direct-current fault ride-through capability. The hybrid sub-module MMC is similar to the half-bridge MMC in topology, namely a three-phase six-bridge structure, but the single bridge is successively cascaded by m half-bridge sub-modules (HBSM), n full-bridge sub-modules (FBSM) and one clamp dual sub-module (CDSM); the high direct-current voltage utilization rate of FBSM, the direct-current fault current self-cleaning of FBSM and CDSM and the economic advantage of HBSM are integrated to optimally select the amount of m, n and one according to the actual demand, so that the converter can be applied to a flexible direct-current transmission system, in particular, to an occasion with the higher commissioning rate, when the system has one direct-current fault, it is promoted in capacity to save the economic cost under existence of the direct-current fault ride-through capability.

The invention provides a book interaction method, apparatus, and equipment. The method comprises: a to-be-interacted book, a current page of the to-be-interacted book, a region of interest of a user, and a characteristic of the region of interest of the user can be identified by using an image matching identification technology; according to the identification results, a preloaded interaction labeled file is read, so that an interaction content and an interaction type that correspond to an interaction labeled point corresponding to the region of interest of the user are obtained; and then according to the interaction type, the interaction content is displayed. As long as the information of the interaction book is preloaded, interaction of the to-be-interacted book can be realized by using the method without the need to require whether the to-be-interacted book is a customized book. Therefore, with the method, defects existing in the manufacturing process of customized books in the prior art can be overcome. Moreover, the labor and economic costs of the book interaction technology can be reduced. In addition, the method is suitable for all kinds of books including ordinary books, so that book interaction application universality can be improved.

An economic engine generates accurate cost estimates for adapting a test script for use against an evolving application. Applications often have complex graphical user interfaces for which the permutations and combinations of GUI elements give rise to an enormous field of potential commands and command sequences to be tested. Furthermore, these applications change over time, rendering prior test scripts unworkable. The economic engine generates cost reports that reliably estimate the resources and time needed to produce new test scripts and test subsequent application versions, while greatly reducing the time, cost, and resource expenditures needed to arrive at subsequent application versions.

The invention relates to a turbine rotor blade accelerated life test load design method taking regard of flight damage. The method includes: 1) conducting frequency mixing treatment and rain flow counting on aeroengine flight missions and training subjects to acquire the frequency and time of each rotation speed cycle in actual flight, thus obtaining the load basic data of an engine within certain flight hours; 2) acquiring the temperature field and stress strain distribution of the blade under all states by finite element method, analyzing the blade static strength and endurance, and determining a lifetime testing part of the blade; 3) calculating the fatigue damage and creep damage of the blade testing part under a true flight load to acquire a ratio of creep damage and fatigue damage during rise and fall of a flight; and 4) designing a accelerated life test load spectrum of a full-size blade, and determining a conversion coefficient of the blade test load spectrum relative to out-field flight. The method provided by the invention can be used for acquiring the technical life of the blade and studying the remaining life of the blade, and saves time and economic cost for the fatigue-creep lifetime test of the blade.

The invention discloses a method for controlling construction quality of an asphalt pavement in real time, which comprises the following steps of: 1, drawing a universal volumetric chart to evaluate volumetric parameter characteristics of various asphalt mixtures, and selecting a proportion of an asphalt mixture, which is suitable for the local environment and is difficult to segregate; 2, checking that whether volumetric parameter information of the asphalt mixture produced in the day meets requirements of design and construction specifications so as to quickly regulate the production process; 3, evaluating the aggregation condition of the asphalt pavement by using the universal volumetric chart; and 4, analyzing and judging the compaction degree condition and temperature condition of the asphalt pavement, judging the compaction qualified rate, judging the significance of the density data difference of the asphalt pavement, checking the construction quality of the asphalt pavement and providing quantitative basis for later period payment adjustment. The method has the advantages of reasonable design, high reliability, high operability, high real-time property, high efficiency of evaluating the construction quality of the asphalt pavement, and high practicability, and contributes to improving construction quality and saving economic cost.

The invention relates to an auxiliary power supply system for a motor train unit and a power supply method and a load reducing method of the auxiliary power supply system. The auxiliary power supply system for the motor train unit comprises auxiliary current transformers, a bus I, a bus II, bus connectors, a contactor box, medium-voltage loads and a low-voltage power supply system. The bus I and the bus II penetrate through the whole auxiliary motor train unit through the bus connectors on the two sides of carriages. The auxiliary current transformers and the medium-voltage loads are connected with the bus I or the bus II alternately according to the parity number of the motor train unit carriages. Part of the medium-voltage loads of the motor train unit operate in a load reducing mode or are directly disconnected when the auxiliary current transformers break down. The auxiliary power supply system operates in a parallel connection mode through the buses penetrating through the whole auxiliary motor train unit, the relative concentration and flexible arrangement eliminating mode of the motor train unit is achieved, the requirement for the redundancy of each set of auxiliary current exchanging system is low, the economic cost is greatly reduced, the power supply of the whole train unit is stable and reliable, and the passenger comfort level and the running safety coefficient of the motor train unit are guaranteed.

The invention discloses a planning method and device for an active power distribution network. The planning method comprises the steps of establishing a network frame planning model of the active power distribution network with the lowest comprehensive economic cost serving as the target and a first vector of the feeder line type and a network topology of a representation system serving a control variable; establishing a DG configuration model of the active power distribution network with the optimal improvement degree of the 'load flow-voltage-network loss' comprehensive coordination degree between a DG device and the active power distribution network serving as the target and with the installation position of the DG device in the presentation system and a second vector of the configuration unit number of the installation position serving as a control variable; conducting iteration solving on the network structure planning mode and the DG configuration model through a preserved algorithm to obtain an optimal solution of the first vector and the second vector, and making the optimal solution serve as a planning scheme of the active power distribution network. From the point view of overall coordination planning of the distribution generation device and a network structure, the optimal coordination of the development of a power grid and the DG device is achieved while the power grid has good economical efficiency as a whole.

The invention relates to an uninterrupted power supply (UPS) electricity separating system and an electricity separating method based on dynamic environment monitoring. The electricity separating system comprises a UPS operation data acquisition analyzing device, a UPS accumulator capacity analyzing device, a UPS electricity separating control device and a power supply output device. The UPS operation data acquisition analyzing device is used for analyzing and processing original data so as to carry out monitoring through calling a distal data collector to collect needed original data, and comprises a UPS basic operation parameter acquisition module, a UPS operation control parameter acquisition module and a UPS operation protecting parameter acquisition module. The UPS accumulator capacity analyzing device is used for analyzing and processing UPS accumulator capacity data. The UPS electricity separating control device is used for carrying out pertinence electricity separating control on power supply equipment according to the monitoring information. The power supply output device is used for separating electricity for the power supply equipment. The invention solves the problems of noise jamming and unstable voltage, realizes online UPS failure diagnosis by utilizing dynamic environment monitoring, finds failure, gives an alarm and saves the economic cost and the manual cost.

The invention provides a method for generating a laser color cloud picture, which is to set a plurality of target points in a scene to be detected. The method comprises the following steps: S10, rigidly binding a line camera and a laser scanner in parallel to ensure that two scanning surfaces of the line camera and the laser scanner are parallel, and the scanning surfaces are vertical to a line between the front node of the camera and the center of the laser scanner; S20, leading the line camera and the laser scanner to scan synchronously; S30, establishing a corresponding relationship between a scanning angle of the corresponding target point and pixel sequence number on a line image, i.e. a color searching list; and S40, establishing a relationship between each laser point in laser dot cloud and RGB information thereof according to the color searching list and the scanning time difference between the laser scanner and the line camera. The method ensures that fusion of the dot cloud and the image is changed from three-dimensional fusion in the prior art to polar coordinate one-dimensional fusion so as to reduce operation capacity, greatly improve the modeling accuracy, and achieve multiple functions. The method can greatly reduce time cost and economic cost of urban three-dimensional modeling.

The invention discloses a ship navigation path planning method, system, medium and equipment, and the method comprises the steps: building an offshore logistics condition model, determining the numberof ports and ship carrying capacity of a ship navigation area according to the ship navigation plan, an offshore climate environment and the change condition of topography and geomorphology in a route, and determining the number of ships needing to be dispatched; constructing an objective function and a constraint condition of an optimal path for the paths of the ships needing to be dispatched among different ports; establishing a ship navigation path optimization model; combining historical data of a ship navigation plan; and calculating an optimal navigation path by adopting an ant colony algorithm: initializing defined parameters, converting port coordinate information into a distance matrix between ports, searching for paths between different ports by utilizing ants, recording iteration times and updating pheromone concentration according to path lengths, and outputting the optimal path after the maximum iteration times are reached. According to the invention, the economic cost consumed by offshore logistics and invalid driving of the ship are reduced, and the economic benefit is improved.

The invention relates to a microgrid optimization method based on an improved binary system particle swarm optimization algorithm. For a microgrid containing various micro power sources, taking start-stop strategies of controllable micro power sources into account, a microgrid optimization operation mathematical model considering economic costs and environmental benefits is established. An improved binary system particle swarm optimization algorithm based on a catfish effect is provided, output of the micro power sources in the microgrid in each period of time is solved under different control strategies. A specific microgrid including wind, light, a micro gas turbine, a fuel cell and a diesel generator is used as an embodiment, and embodiment analysis is performed.

The invention provides a voice data enhancing method and a system, wherein the method comprises: estimating an impulse response function in a far-field environment; filtering the near-field voice training data through the use of the impulse response function; and performing noise-adding process on the obtained data after the filtering to obtain the far-field voice training data. According to the invention, it is possible to avoid the problem that a large amount of time and economic cost are required to record the far-field voice training data in the prior art; and the time and the economic cost of obtaining far-field voice training data are reduced.

The invention provides a hypersonic flight vehicle dive segment full amount integration guidance control method. A technical scheme is characterized in that firstly, a sensor measures states of a hypersonic flight vehicle relative to a ground system, wherein the states comprise a speed, a speed inclination angle, a track yaw angle, a rolling angular speed, a yaw angular speed, a pitching angular speed, a pitch angle, a yaw angle, a rolling angle and the like; then the above obtained quantities of states, positional information of an object relative to the ground system and a control parameter are substituted into a formula so as to calculate a rudder deflection angle vector, wherein the positional information is measured in advance; finally, the rudder deflection angle vector is used to control the hypersonic flight vehicle. In the invention, based on an aircraft full amount coupling integration guidance control model, an adaptive-block dynamic surface inversion method is used to realize integrated guidance control, and a problem of repeated design can be effectively avoided so that time and economic cost of a guidance control system design are reduced.

The invention provides a follow robot positioning system based on ultrasonic waves and Bluetooth. A Bluetooth module of the system is in communicated with a Bluetooth module of a handheld device. The position of the handheld device is positioned through a positioning module according to data of an analysis module. A local grid map module establishes a local grid map according to information which is analyzed through a detection module and scanned through ultrasonic radar. A follow area planning module plans an area where a robot can advance according to the position of the handheld device and the local gird map. A follow module drives a walking device according to the area which is planned through the follow area planning module and allows the robot to advance. The local grid map is established through the communication between the Bluetooth modules and by analyzing communication data between the Bluetooth modules and comprehensively utilizing information, scanned by the ultrasonic radar, in front of the robot, and the following aim of the robot is achieved; it is ensured that autonomous following of the robot can be safely and reliably achieved in a complex environment, and meanwhile the robot following economic cost can be reduced.