180 results about "Change factor" patented technology

The invention provides a parking-lot parking space predication and recommendation method based on a real-time traffic query and a cloud model. A system according to the parking-lot parking space predication and recommendation method comprises a real-time traffic query feedback module and an idle parking space predication module. At a parking-lot parking space predication aspect, a guiding meaning of a parking-lot idle parking space historical rule to predication is considered, real-time number change of parking spaces and in-future possible change factors are considered, thereby realizing self-adaptive predication on the number change of parking-lot parking spaces in short time, well preventing a predication error problem caused by a noise, and furthermore satisfying requirements for high predication accuracy and high real-time performance. The parking-lot parking space predication and recommendation method overcomes the problems of randomness, fuzziness and non-linearity in parking-lot parking space predication, greatly improving predication accuracy, facilitating settlement for a problem of high difficulty in vehicle parking in a city, alleviating traffic jams, facilitating balancing parking space utilization rates of the parking lots and improving parking space management efficiency of the parking lot.

System and method for delivery of an electronic message from a sender unknown to a recipient when such message comprises a sender code verified by recipient's electronic message handler, thereby eliminating delivery of unsolicited bulk messages. Dispensing sender codes per recipient addresses thwarts senders of unsolicited bulk messages. Dispensing sender codes upon successful response to a human response question further thwarts bulk senders. Sender code calculation according to periodically changing factors limits sender code utility to finite time periods.

The invention discloses a designated-driving order predicting method and a designated-driving transport capacity scheduling method which can be used for airports. The designated-driving order predicting method comprises the steps of: establishing a history order database of each airport; carrying out area clustering on the airports according to order change similarity; carrying out time interval clustering on a plurality of basic time intervals according to order numbers in the basic time intervals of each area type so as to form different order prediction basic time intervals of each area type; extracting a corresponding order number and change factors in each order prediction basic time interval of each area type, adopting a BP nerve network to carry out non-linear fitting, and enabling each order prediction basic time interval of each area type to obtain a different order prediction model; and when an order prediction request is received, according to the request area type and order prediction basic time interval, selecting the corresponding order prediction model, and by combined with the change factors, predicting an order number. By adopting the designated-driving transport capacity scheduling method, a reasonable driver distribution scheme is generated according to the order prediction result.

Systems and methods are provided for detecting and responding to cut in vehicles, and for navigating while taking into consideration an altruistic behavior parameter. In one implementation, a vehicle cut in detection and response system for a host vehicle system may include a data interface and at least one processing device. The at least one processing device may be programmed to receive, via the data interface, a plurality of images from at least one image capture device associated with the host vehicle; identify, in the plurality of images, a representation of a target vehicle traveling in a first lane different from a second lane in which the host vehicle is traveling; identify, based on analysis of the plurality of images, at least one indicator that the target vehicle will change from the first lane to the second lane; detect whether at least one predetermined cut in sensitivity change factor is present in an environment of the host vehicle; cause a first navigational response in the host vehicle based on the identification of the at least one indicator and based on a value associated with a first cut in sensitivity parameter where no predetermined cut in sensitivity change factor is detected; and cause a second navigational response in the host vehicle based on the identification of the at least one indicator and based on a value associated with a second cut in sensitivity parameter where the at least one predetermined cut in sensitivity change factor is detected, the second cut in sensitivity parameter being different from the first cut in sensitivity parameter.

A walking robot and a control method thereof. The control method includes storing angle change data according to time corresponding to at least one joint unit of the robot using human walking data, extracting reference knot points from the angle change data according to time, and generating a reference walking trajectory using the extracted reference knot points, calculating a walking change factor to perform change between walking patterns of the robot, generating a target walking trajectory through an arithmetic operation between the reference walking trajectory and the calculated walking change factor, calculating a control torque to track the generated target walking trajectory, and transmitting the calculated control torque to the at least one joint unit so as to control walking of the robot, thereby achieving various walking patterns through a comparatively simple arithmetic operation process.

A power generation system having a high following property to follow a load change is provided. A multi-shaft gas turbine power generation system includes a compressor that compresses air to generate compressed air, a combustor that generates a combustion gas from the compressed air and fuel, a gas generator including a high pressure turbine driven by the combustion gas, a power turbine including a low pressure turbine driven by a gas exhausted from the gas generator and a main power generator that generates power by a rotational force of the low pressure turbine to supply power to the system, a sub-electric motor and power generator connected to the gas generator and the power turbine via a frequency converter, and a control apparatus. The gas generator and the power turbine have different shafts. The control apparatus receives a load target of the system and a load change factor of the system to output a control signal of the frequency converter.

The invention discloses an energy-saving real-time dynamic route planning method applicable to an intelligent networked automobile. The energy-saving real-time dynamic route planning method specifically comprises the following steps: establishing a three-dimensional road network model considering time dimension; acquiring the state of signal lamps at the tail end of each road section; searching all feasible routes in a road network by virtue of a full-feasible path search algorithm according to a starting point and a destination; according to traffic flow information, computing the shortest transit time and calculating the theoretical transit time on the road section; recommending a route with the shortest transit time as a real-time dynamic route; and considering an automobile potion change factor during the driving of an automobile, re-invoking a dynamic route planning algorithm while entering an effective range of the tail end of the road section, and further updating the optimal real-time dynamic route of the current automobile. The energy-saving real-time dynamic route planning method has the advantages that a trip route with the shortest full-process theoretical transit time in a three-dimensional space-time network can be searched; and the driving energy consumption of the automobile can be remarkably reduced, and the aim of energy-saving tripping is achieved.

The invention discloses a weak signal extracting method based on self-adaptive stochastic resonance. Particularly, a frequency of a weak signal can be well adjusted to a frequency range easily generating the self-adaptive stochastic resonance through adjusting a scale changing factor which is secondarily sampled, so that the good performance of the self-adaptive stochastic resonance can be sufficiently utilized, the weak signal can be well extracted at a super-low signal to noise ratio, and the problem that the conventional weak signal processing method represents to be poor, even be invalid, at the super-low signal to noise ratio can be effectively solved; and meanwhile, a signal frequency of the weak signal which is secondarily sampled can be matched with a self-adaptive stochastic resonance system and can generate stochastic resonance through a fed-back automatic adjusting scale conversion factor under the condition of not knowing the frequency of the weak signal, so that the characteristic of the weak signal can be better extracted.

The invention discloses a control system for a lithium ion battery of an electric car. The system achieves the safety control of the battery through precise estimation and feedback of the residual electric quantity of the battery, collects a discharging current, an output voltage and the temperature of the battery, carries out the filtering and noise reduction through a filter, and builds a mathematic relation between the residual capacity of the battery and the output current of the battery based on an ampere-hour method and a Proctor empirical formula. The system gives consideration to the temperature factor and a nonlinear change factor of the initial capacity of the battery, carries out the correction and compensation of the Kalman method, and reduces the estimation error of the residual capacity of the battery. The system employs an open-circuit voltage method and the Kalman filtering method for prediction and comparison, carries out the compensation of a gain matrix, obtains the nearly real initial capacity of the battery, and enables the prediction and estimation error to be smaller. Meanwhile, the system gives consideration to the impact on the residual capacity of the battery from the temperature, corrects the mathematic model of the ampere-hour method through the corrected parameters K and n, and further reduces the estimation error.

A living body impedance measurement apparatus is provided which measures a voltage attributed to the impedance of a living body, and separates it into a voltage attributed to a resistance component and a voltage attributed to a reactance component. Then, the voltage attributed to the resistance component, the voltage attributed to the reactance component, and resistance and reactance components of an impedance of an external reference unit are substituted into an impedance calculation formula that accounts for impedance fluctuation. A fluctuation constant is thereby calculated that is a constant for a fluctuation variable representing fluctuation caused by impedance change factors. The resistance component and the reactance component of a true impedance of the living body are then calculated based on the fluctuation constant and the measured living body impedance.

The invention relates to fault diagnosis technology for a mechanical tower, which comprises a sensor group comprising a vibration or/and steady-state acceleration detection sensor and a forced direction detection sensor, and a fault information processor for acquiring signals of the sensor group and analyzing and diagnosing the signals of the sensor group. The signals detected by the sensor groupare transmitted to the fault information processor through cables, the hardware of the fault information processor acquires the signals, and then the corresponding software of the fault information processor performs analytical diagnosis and treatment. Because a plurality of groups of acceleration sensors arranged at a specific position for monitoring the dynamic condition of the tower under a running state are adopted, the technology not only can master the vibration displacement born by the tower along the direction of geographical coordinates, but also can effectively monitor various influences brought by torsional vibration caused by environmental factors and change caused by factors such as individual foundation of a tower body and the like. Simultaneously, aiming at the change factors, the fault information processor matched with the acceleration sensors warns in time within a range of ensuring the normal work of the tower. Therefore, the technology provides a technical support for ensuring the using safety of the tower and improving the service life.

The invention discloses a sensor for detecting ultra-low concentration gas. The sensor detects analyzed gas under the conditions of constant pressure, constant flow, constant humidity, constant temperature and being free from influence of interfering gas, which maximally eliminates interference of change factors such as gas flow, pressure, humidity, temperature, gas composition and the like, improves signal-to-noise ratio of the sensor, and reaches detection limit and precision of 1-10ppb. The sensor comprises a gas filter, a constant-flow and constant-pressure device, a constant-humidity andconstant-temperature device and a detector, wherein, the gas filter is used for reducing particles and the interfering gas which generates ppb-order or greater signal interference on a detection signal of detected gas carried in a gas sample; the constant-flow and constant-pressure device is connected to the gas filter and controls flow velocity and pressure of the filtered gas; the constant-humidity and constant-temperature device is connected to the constant-flow and constant-pressure device, controls the humidity at a constant state for the detection signal of the detected gas or eliminates influence of the humidity through zero-point correction, and controls the temperature of the gas; and the detector is placed in the constant-humidity and constant-temperature device and is used for detecting the gas.

The invention provides a video monitoring image identification-based automatic coal caving control system. According to the video monitoring image identification-based automatic coal caving control system, a pan-tilt-zoom camera is arranged on a tail beam, and comprises a first shooting part and a second shooting part; the first shooting part is arranged on a coal conveying direction parallel to aback scraper plate conveyer to obtain the coal conveying process images of the back scraper plate conveyer; the second shooting part is arranged in a direction vertical to the coal conveying direction of the back scraper plate conveyer to obtain coal conveying images of the back scraper plate conveyer, and determine the coal conveying amount and coal ash content of coal on the back scraper plateconveyer; the pan-tilt-zoom camera is used for sending the coal conveying process images, the coal conveying amount and coal ash content of coal on the back scraper plate conveyer to an upper computerfor checking by monitors. The video monitoring image identification-based automatic coal caving control system is capable of direction expanding monitoring range of operating personnel to a back coalcaving working face, and avoiding influences of coal and gangue identification and coal thickness change factors caused by geological condition change on coal caving control process.

The invention discloses a health guidance information generation method which mainly comprises the following steps: obtaining body state parameters and body state parameter change factors of group users within a period of time; judging whether the body state parameters of any individual user in the group users are within a normal variation range; if the body state parameters of the individual user surpass the normal variation range, searching the body state parameter change factors of one or a plurality of users, of which the body state parameter out-of-tolerance condition is the same or similar to that of the individual user, but the final body state parameters return to the normal variation range from a user information base, and carrying out pushing on the individual user; and after the follow-up integration, pushing the health guidance information to other individual users having the body state parameter out-of-tolerance directly. The invention also discloses a health guidance information generation device. The beneficial effect is that customized and highly-effective health guidance is realized.

The invention relates to a DC micro power grid system equipped with energy storage units and a control method. A new energy unit is connected with a DC bus through a first converter and is connected with an AC main power grid through a second converter. A first energy storage unit and a second energy storage unit are connected with the DC bus through a third converter and a further converter respectively and are connected with a DC load through the DC bus. Compared with a product in the prior art, the DC micro power grid system has advantages of stabilizing DC micro power grid bus voltage, achieving energy optimization and coordination control, and prolonging a storage battery service life. Further, a DC bus voltage change factor decides the operating states of the converters under different control layers, solves problems of DC bus voltage stabilization and energy optimization and coordination control, and achieves a purpose of improving system electric energy quality and power supply reliability.

The invention discloses a network service function chain mapping method. The method comprises the following steps of: SA1: initializing a program, and reading a current network topology and a servicerequest; SA2: constructing a service function chain according to a VNFs (Virtual Network Functions) bandwidth changing factor and a dependency relationship; and SA3: judging whether a met path is found according to a path planning algorithm, if yes, proceeding to the step SA4, or proceeding to the step SA5, and simultaneously, initializing K, wherein K represents the number of short paths and K isenabled to be 1. The network service function chain mapping method solves a problem of NFV resource allocation in a scene in which a VNF sequence is unknown and a problem of no consideration to optimal construction of the service function chain and deployment of the VNFs on a working path.

The invention discloses a shift register, a drive method thereof, a gate drive circuit and a display device. The shift register comprises a signal input unit, a pull-up node boosting unit, a pull-up node buck unit, a pull-down node boosting unit, a pull-down node buck unit, a pull-up unit and a pull-down unit. The charging time of a gate scanning line can be changed only by changing high-level input signal output time of a signal end without changing factors such as a clock signal, a circuit structure and a related production process, so that the shift register can be applied to a product with a large size, an ultrahigh resolution, a high-frame scanning frequency and a narrow frame, the gate drive difficulty of the product with the large size, the ultrahigh resolution, the high-frame scanning frequency and the narrow frame is effectively reduced, production cost is reduced, and product competitiveness is improved.

The invention relates to an identification method of a speaker. The method comprises: a speaker identification model is generated, background voices and target speaker voices are used as training data to obtain a first Gauss mixing-universal background model, a total changing space, a second Gauss mixing-universal background model, and a local linear discrimination analysis model; and a total changing factor of a to-be-identified voice and a posterior probability of the total changing factor are calculated based on the first Gauss mixing-universal background model, the total changing space, the second Gauss mixing-universal background model, and the local linear discrimination analysis model, the local linear discrimination analysis model is inputted to carry out conversion to obtain a low-dimension vector, and the vector is inputted into a rear-end identifier and an identification result is outputted. According to the invention, the discriminating property of speakers is enhanced; and the identification performance of the speaker is improved. Meanwhile, dimensionality reduction of the total changing factor is realized; the identification speed is enhanced; and the practicability is high.

The invention discloses a method and a system for automatically monitoring a portable image acquisition device. The portable image acquisition device mainly comprises an image acquisition module, an image change sensing module and an automatic video-recording module, wherein the image change sensing module judges whether images of a preset region monitored by the image acquisition module are changed or not so as to perform automatic video-recording monitoring on the preset region; and if the images are changed, the automatic video-recording module starts performing video-recording on the preset region, and if an image change factor disappears in a period of time, automatically stops the video-recording so as to realize the function of automatically monitoring the portable image acquisition device.

The invention relates to an insurance policy information correction method and a device. The method comprises steps of receiving an insurance policy correction request sent by a terminal, wherein the insurance policy correction request comprises an insurance policy identifier, a correction factor identifier and correction information corresponding to the correction factor identifier; detecting whether a correction factor corresponding to the correction factor identifier is an insurance premium change factor, and if yes, using the correction factor as a target insurance premium change factor; searching a preset insurance premium change calculation formula corresponding to the target insurance premium change factor, and according to the correction information, determining an input value corresponding to the insurance premium change calculation formula; substituting the input value into the corresponding insurance premium change calculation formula for calculation so as to obtain a first insurance premium change value corresponding to the target insurance premium change factor, and determine a second insurance premium change value corresponding to the insurance policy identifier according to the first insurance premium change value; and according to the second insurance premium change value, carrying out insurance premium correction processing. According to the invention, code redundancy is avoided and system performance is improved.

The invention provides an image denoising method based on a non-local mean value. The image denoising method comprises the step of using rotary factors and tiny scale changing factors in an image as weight factors for setting the non-local mean value. The invention further provides an image denoising device based on the non-local mean value. The image denoising device comprises a weight module which is used for using the rotary factors and the tiny scale changing factors in the image as the weight factors for setting the non-local mean value. According to the invention, the image denoising effect is improved.

The invention relates to a method for recommending potential friends in a social network and realizes the recommendation for the potential friends through two layers of moulds. The method comprises the flowing steps of in the first layer, firstly carrying out subject classification on the articles of all users, constructing a user attention vector, and calculating the cosine similarity of the users to obtain a rough potential-friend recommending list; in the second layer, taking the interest changes with time of the users into account, taking change factors into the calculation of the similarity, and then further detailing the friend recommendation on the basis of the rough recommending list in the first layer. Because the characteristic that the interests of the users are reflected by the articles is utilized, by starting from the interest similarity and bypassing the limitation of an existing social network on the basis of the original friend relationship of the users, the friend recommending method based on the interest similarity is realized, the friend recommending range is expanded, and the recommendation of the friends is further more accurately and effectively realized within a large range.