87 results about "Stability factor" patented technology

Systems and methods are disclosed for underwriting loans. Some embodiments increase the likelihood of repayment by obtaining access to a qualified attribute of a borrower by a first computer component, monitoring by a second computer component for a financial event associated with the loan to the borrower, and taking control of the qualified attribute of the borrower by a third computer component. Taking control may include notifying social contacts. Securing the loan by taking various security interests and technical countermeasures against the borrower re-obtaining access or re-taking control are disclosed. Providing loans, receiving loan applications, providing loans proceeds, processing payments, and underwriting criteria are disclosed. Underwriting employing social contacts for recommendations, loan guarantees, social contact credit scores, public repayment promises, loan repayment coaches, fraud criteria, crowdsourced risk evaluation, social graphs, borrower stability factors derived from social graphs, data associated with online information repositories, and efficacy of notification are disclosed.

A vehicle stability control system includes a basic request driving force computing unit, a front and rear wheel load computing unit, a virtual turning radius estimating unit, a target value computing unit, and a vibration damping correction controlling unit. The basic request driving force computing unit computes a physical quantity so as to generate the basic request driving force requested by a driver. The front and rear wheel load computing unit detect a load applied to the wheels. The virtual turning radius estimating unit estimates a virtual turning radius. The target value computing unit computes a target value of a stability factor. The vibration damping correction controlling unit corrects the physical quantity so as to follow the target value. The system generates the driving force for the driving wheel.

In a processor having multiple clusters which operate in parallel, the number of clusters in use can be varied dynamically. At the start of each program phase, the configuration option for an interval is run to determine the optimal configuration, which is used until the next phase change is detected. The optimum instruction interval is determined by starting with a minimum interval and doubling it until a low stability factor is reached.

In a method of critical displacement forecast based on the deformation failure mechanism of slope, a sliding surface displacement, a calculation based on status stability factors and a slope surface displacement are determined, and applied for forecast based on a thrust-type slope deformation mechanism, a key compartment division, a relation between stress and strain mechanics properties of sliding surface of geo-material, and an analysis of evolution characteristics at different points of the sliding surface. The method provides advantages of determining deformation values at different points of a sliding surface, a slope body and a slope surface during slope failures; describing the process of a progressive failure, deformations and force changes of a slope; combining slope monitoring values to perform the stability analysis and the calculation of the magnitude of the stability factors in different deformation statuses of the slope; and assessing the durability of protective measures to the slope.

In a processor having multiple clusters which operate in parallel, the number of clusters in use can be varied dynamically. At the start of each program phase, the configuration option for an interval is run to determine the optimal configuration, which is used until the next phase change is detected. The optimum instruction interval is determined by starting with a minimum interval and doubling it until a low stability factor is reached.

The invention relates to a karst cave type foundation stability estimation method, in particular to a measurement method of karst cave type foundation collapse risks. The measurement method mainly solves the problem that because comprehensive prediction methods for the karst cave type foundation stability are immature in the prior art and judgment models are established on the basis of different angles, the reliability of influence factors is greatly lowered. According to the specific scheme, the relation between vertical stress of overlaying soil on karst caves and limit vertical stress of the overlaying soil on the karst caves is derived and established according to the karst collapse mechanism of karst cave type foundations, stability loss risk estimation parameters for determining karst cave type foundation collapse are proposed, and the one-to-one corresponding relation between the karst cave type foundation stability loss risk estimation parameters and stability factors is established. The measurement method has the advantages of having clear stability criteria, being simple and practical and having high practicality value for effective prediction, prevention and control of karst cave type foundation collapse.

The invention discloses a method for designing the thickness of an underwater tunnel subsurface excavated construction grouting reinforcement ring. The method is characterized by comprising the following steps of: 1, selecting a group of reinforcement ring thickness parameters, and calculating the stability factors of a tunnel construction working surface under different reinforcement ring thickness conditions; 2, obtaining a reinforcement ring thickness-stability factor regression curve according to a least squares method based on different reinforcement ring thicknesses and corresponding stability factors; and 3, obtaining a reinforcement ring thickness required by a tunnel under a certain designed stability factor condition according to the reinforcement ring thickness-stability factor regression curve. A reinforcement ring thickness is obtained with the method for designing the thickness of the underwater tunnel subsurface excavated construction grouting reinforcement ring, so the field engineering construction requirements can be met, the construction safety of the tunnel can be ensured, and the engineering cost can be reduced.

The invention discloses a high-performance D type audio power amplifier adopting high-order multipath feedback structure, which comprises a prepositive variable gain amplifier, an integrator, a pulse width modulation (PWM) circuit, a three-state regulating circuit, a grid driving circuit and a power output stage. The integrator is in a two-order structure formed by cascade connection of two stages of integrators, and two paths of feedback are introduced to form a higher-order double-feedback loop, thereby effectively increasing the loop gain and the out-off-band attenuation, and obviously improving the suppression ratio of total harmonic distortion and noise to power sources and other main properties in the range of audio frequency band (22Hz-22KHz). By introducing two paths of voltage negative feedback and comprehensively considering the input dynamic range, the signal-to-noise ratio and stability factors, the ratio of two stages of feedback coefficients can be regulated by regulating the ratio of the input resistance and the feedback resistance of two stages of integrators, thereby ensuring the stability of a system. The D type audio power amplifier with the structure has the characteristics of high integration level and high performance and can be widely applied to the fields of portable equipment, consumer electronics and the like.

The invention discloses a multi-hop ad-hoc-network anti-interference routing method based on a link quality factor. Environment adaptability is high and control cost is less. The method comprises the following steps of (10) neighbor node discovery: a node sends a test pack, other nodes response to the test pack, and a neighbor node list of each node and a neighbor link are established; (20) neighbor link quality prediction: neighbor link forwarding cost is calculated according to a neighbor link stability factor, a symmetry factor and a reliability factor; (30) node routing discovery: a source node sends a routing request, a destination node replies the routing request and the source node discovers the routing according to path forwarding cost from the source node to the destination node.

An intelligent system and method detects and informs operators of unstable vehicle conditions. An accelerometer and gyro based micro-controller system dynamically computing the center of mass, speeds, positions, angles, stability factors, Velocity-Road Roughness Index, Dynamic Stability Function, and other parameters critical in determining the dynamics of vehicle motion. The apparatus may be integrated into an overall vehicle network and may incorporate a method for detecting and warning vehicle operators of unstable driving conditions which may include rollover, high velocity turns, sideslope conditions, rough roads, slip, and other dynamic events.

A device for estimating turning characteristic of a vehicle estimates a stability factor indicating the turning characteristic of a vehicle. The device for estimating the turning characteristic calculates the transient yaw rate of a vehicle involved in the relationship of a primary delay relative to the steady-state standard yaw rate of a vehicle, and calculates the deviation between the transient yaw rate of the vehicle and the actual yaw rate of the vehicle. The device for estimating the turning characteristic corrects the estimated value of the stability factor so as to approach the true stability factor by correcting the initial value of the stability factor supplied to the calculation of the standard yaw rate of the vehicle on the basis of the relationship between the deviation of the yaw rate and the lateral acceleration of the vehicle so that the transient yaw rate of the vehicle approaches the true yaw rate.

An automatic image-labeling method of fusing pseudo-correlation feedback with index technique includes indexing unlabeled query image in labeled imagebank to obtain k numbers of correlation images and label word set of correlation image, calculating posterior probability (PP) of each labeled word labeled query image (ELWQI), picking up mean value vector as new query vector according to k numbers of correlation image, repeating said steps till maximum iteration frequency N is obtained, calculating stability factor (SF) of each label word in each cycle of labeled word set, calculating sequence probability of ELWQI according to PP and value of SF in order to label query image.

The invention discloses a method of calculating a deep antiskid stable critical slipping plane of a dam foundation of a gravity dam and belongs to the field of stability analysis for gravity dams. Aiming at the condition that slip possibly occurs because the low-gradient weak structural plane of the dam foundation of the gravity dam is not exposed but part of downstream bedrock is possibly subjected to clipping, the method comprises the following steps: establishing a nonlinear mathematic programming model of deep antiskid stability analysis for the gravity dam by taking variable of locations subjected to clipping and slipping plane damage on the downstream bedrock as an optimization variable, the deep antiskid stability factor of the gravity dam as an objective function and an equal safety factor normal equation as a constraint condition; solving out a worst critical slipping plane subjected to clipping damage on the downstream rock mass and a safety factor minimal value corresponding to the worst critical slipping plane. The method disclosed by the invention has the characteristics of definite concept, high calculation precision and the like, and can be applied to deep antiskid stability analysis for the gravity dam.

The invention provides a vehicle steady-state intelligent control method and a vehicle. The vehicle steady-state intelligent control method comprises the following steps that vehicle driving parameters are acquired; the driving parameters comprise at least a wheel speed, lateral and longitudinal acceleration, a yaw rate, an engine and motor torque, driver input information, a vehicle speed and a tire rolling radius; a driving stability factor value is obtained according to the vehicle driving parameters; and according to the driving stability factor value, the steady state of the vehicle is determined and a whole vehicle control unit is started, or the whole vehicle control unit and a vehicle stability control system carry out the steady-state control over the vehicle. The method solves the problems of potential safety hazards and reduced driving comfort due to the fact that a vehicle in the prior art uses VSC alone for the steady-state control.

The invention discloses a method for judging the saturated harmonic instability of an HVDC system converter transformer iron core. The method comprises the steps of S1, establishing a voltage current switching function according to power frequency voltage of a known conversion bus, direct current component of direct current and a trigger instruction angle and calculating a power frequency sequence component amplitude value of the voltage current switching function; S2, calculating a secondary equivalent harmonic impedance Zac2 of an alternating current system and a primary equivalent harmonic impedance Zac1 of a direct current system according to a alternating current / direct current equivalent circuit; S3, calculating a saturated harmonic unstable saturation stability factor lambda of a harmonic converter transformer; S4, finding that disturbance increases with the time and the system is unstable when the lambda is larger than 1, and the disturbance decreased with the time and the system finally tends to stability when the lambda is smaller than 1. In the method, the theoretical basis concept is clear, a computation expression is simple, parameters are easy to obtain, and the degree of the saturated harmonic instability of the converter transformer can be quantitatively accessed.

The invention discloses an aviation self-organizing network wireless link stability prediction method. The method includes the steps of firstly, establishing an aviation self-organizing network node mobile model; secondly, determining a node movement rate probability density function in each state and a probability density function of a relative speed between every two nodes according to the movement features of the nodes in the mobile model in each state; thirdly, determining a distribution function of the duration time of a wireless link through combination of the distance between every two nodes and node relative movement direction information on the basis; finally, obtaining stability factors of the multi-hop wireless link according to the distribution function of the duration time of the wireless link, wherein the mobile model is composed of seven states, namely, the acceleration taking off state, the constant-speed rising state, the smooth and steady flying state, the steering state, the constant-speed descending speed, the deceleration stopping state and the static state. The stability factors of the link can be used as the importation foundation for route selection through the airplane nodes, and therefore the wireless transmission link with the high stability is set up for an aviation self-organizing network. The validity of the method is proved through a simulation experiment in the QualNet simulation environment.

The invention relates to a clustering method and system of a mobile ad hoc network. According to the clustering method and system, nodes are grouped, nodes in the same group satisfy a preset mobility condition, so that it can be ensured the nodes in the corresponding groups can have similar mobility, and therefore, the stability of clustering can be improved; the residual energy parameter values of the nodes, the node degrees of the nodes and the mobility parameter values of the nodes are calculated; the stability factors of the nodes are calculated; nodes corresponding to maximum stability factors in the groups are adopted as cluster heads; non-cluster head nodes in the groups are added into clusters where corresponding cluster heads are located; the nodes in the mobile ad hoc network are traversed, non-cluster head nodes which have not been clustered are clustered separately; and therefore, network node clustering can be realized. When the stability factors are calculated, the mobility parameter values of the nodes, the residual energy of the nodes and the node degrees of the nodes are all considered, and therefore, the cluster heads which are selected according to the stability factors of the nodes are optimal nodes with the mobility, residual energy and node degrees of the nodes considered; after the cluster heads are obtained, the non-cluster head nodes are clustered; and therefore, network clustering stability can be improved.

The invention discloses a method for monitoring and diagnosing super-high-speed small box packaging machine having multiple condition characteristics. Aiming for the problem that the multiple working condition characteristics and the working condition are generally unknown in the working process, the method comprises steps of calculating stability factors based on a sliding window to identify different working conditions, adopting a self-adaptive clustering method to divide the stable working condition into a plurality of stable working condition data clusters, utilizing a PCA method to establish a monitoring model for each stable working condition data cluster by using a PCA method, determining the type of the working condition according to the data stable factor inside the current sliding window in the process of multiple working condition monitoring, if the working condition is a transition working condition, assigning 0 as the monitoring statistics, if the working condition is a stable working condition, calculating the distances between current effective data and the various cluster centers to obtain a matched PCA monitoring model to perform real time monitoring, and adopting a contribution plot to determine the main process variable causing the fault when any statistics exceeds the time frame.

A vehicle attitude control device derives a stability factor during turning of a vehicle based on the behavior of the vehicle to take the derivation result as an estimated stability factor (step 112), compares the estimated stability factor with a reference stability factor (steps 114 and 116), varies an attitude control necessary-or-not judgment sensitivity based on the comparison result (steps 118, 130 and 134), and executes the attitude control for the vehicle (step 126).

The invention relates to a statistical modeling, online monitoring and fault diagnosis technology of a superspeed carton packaging machine BV of the Italian G.D company and discloses a cigarette factory superspeed carton packaging machine multi-condition process online monitoring and fault diagnosis method. According to the method, a stable condition and a transition condition of stability factor identification are calculated based on a slide time window in an offline mode, the stable condition is divided to form a plurality of stable condition data clusters by use of an adaptive k-means cluster method, and then a statistical monitoring model is established independently for each stable condition data cluster by use of a PCA method. During online monitoring, a condition type is determined according to a stability factor of data in a current slide time window, under the stable condition, real-time monitoring is carried out by use of one PCA monitoring model corresponding to a cluster with a minimum distance, when any one statistical amount exceeds a limit, a major process variable causing a fault is determined by use of a contribution graph method, and finally, an effective feasible method is provided for online monitoring and fault diagnosis of the superspeed carton packaging machine BV.

An apparatus for determining a master module in a dynamic distributed device environment may include a processor. The processor may be configured to calculate a connectivity stability factor for a module. The module may be included on a device configured to be connected to a distributed device network. The distributed device network may be defined as a network where devices leave or enter the network at any time, such as a smart space. The processor of the apparatus may also be configured to weigh the connectivity stability factor of the module against neighboring connectivity stability factors associated with neighboring modules, and assign a role of master module to the module based on a determination that the connectivity stability factor of the module describes a more stable module than the connectivity stability factors of the neighboring modules. Associated methods and computer program products may also be provided.

A vehicle attitude control device derives a stability factor during turning of a vehicle based on the behavior of the vehicle to take the derivation result as an estimated stability factor (step 112), compares the estimated stability factor with a reference stability factor (steps 114 and 116), varies an attitude control necessary-or-not judgment sensitivity based on the comparison result (steps 118, 130 and 134), and executes the attitude control for the vehicle (step 126).

The invention provides a method for characterizing distribution stability of a finished product cut tobacco structure by using conventional chemical compositions. The method comprises the following steps: sampling the finished product cut tobacco; performing determination of conventional chemical components, such as total sugar, reducing sugar, total nitrogen, total plant alkali, potassium, and chlorine; calculating average, standard deviation, coefficient of variation and stability factor of the six conventional chemical components of the cut tobacco sample; finally, the average value of thestability coefficients of the six conventional chemical components is calculated. The larger the average value is, the closer to 100%, the better the distribution stability of the cut tobacco structure is. The conventional chemical components with high contents in the cut tobacco are used as evaluation indices, in order to quantitatively, scientifically and reasonably evaluate the distribution stability of the tobacco structure; and the inherent chemical quality stability of the finished product cut tobacco and the blending uniformity of the 'three kinds of cut tobaccos' are objectively reflected, in order to provide reference basis for improving cigarette quality and optimal control.

The invention discloses a vehicle steering control method and system and a vehicle. The method includes steps: acquiring steering angle information, vehicle speed information, lateral acceleration information and front and rear cornering stiffness of the vehicle; judging whether the vehicle is in a preset oversteer state or not according to the steering angle information, the vehicle speed information and the lateral acceleration information; if the vehicle is in the preset oversteer state, acquiring operating current of front and rear side power-assisted motors according to the front and rearcornering stiffness; adjusting front and rear stabilizer bar stiffness adjusting mechanisms according to the operating current by the front and rear side power-assisted motors so as to adjust front and rear cornering stiffness of the vehicle to make a stability factor of the vehicle in a preset factor range. By means of software for extreme position limitation, mechanical impact and noise can beeffectively avoided, development cost is reduced, the degree of understeer in a steering process of the vehicle can be adjusted in real time, and accordingly loss of stability of the vehicle is effectively prevented.

The invention relates to an electric vehicle attachment stability and quasi-optimal slip rate detection method. The electric vehicle attachment stability and quasi-optimal slip rate detection method is used for detecting the attachment stability, the quasi-optimal slip rate and the quasi-optimal attachment torque of a vehicle, and is applicable to electrically driven vehicles. According to the method, the traction motor torque T and a wheel speed omega are utilized to observe the tire-ground attachment torque T<d> through a load disturbance observer, the traction motor torque variation delta Tand the attachment torque variation delta T<d> are utilized to calculate an attachment stability factor delta, and the quasi-optimal slip rate lambda<opt> and the quasi-optimal attachment torque T<dmax> are identified according to the drastic change in the value of the attachment stability factor. The electric vehicle attachment stability and quasi-optimal slip rate detection method is easy to implement and high in reliability, and can be widely applied to the traction / braking anti-slip control process of electric vehicles.

The invention discloses an active distribution network safety effectiveness evaluation method comprises steps of firstly obtaining the average response rate and the firewall filtering probability distribution among the nodes of an active distribution network; secondly, calculating a system reliability function according to an active distribution network model; then, obtaining the active total loadof power nodes and the load loss of the attacked power nodes by an active distribution network monitoring device; then obtaining an active distribution network stability factor parameter; and finally, combining the reliability function at the network side of a physical information fusion system with a loss load stabilizing factor at the power side to form a comprehensive index capable of evaluating the safety effectiveness of the entire active distribution network. The method evaluates the influence of disturbance and malicious attack in the power physical fusion system on the active distribution network, and considers the influence of the network-side factor on the power side in the fusion system. The method can be widely applied to the safety effectiveness analysis of the active distribution network system.

A device for estimating turning characteristic of a vehicle estimates a stability factor indicating the turning characteristic of a vehicle. The device for estimating the turning characteristic calculates the transient yaw rate of a vehicle involved in the relationship of a primary delay relative to the steady-state normative yaw rate of a vehicle, and calculates the deviation between the transient yaw rate of the vehicle and the actual yaw rate of the vehicle. The device for estimating the turning characteristic corrects the estimated value of the stability factor so as to approach the true stability factor by correcting the initial value of the stability factor supplied to the calculation of the normative yaw rate of the vehicle on the basis of the relationship between the deviation of the yaw rate and the lateral acceleration of the vehicle so that the transient yaw rate of the vehicle approaches the true yaw rate.

The invention discloses a building climbing method and a device for automatically adjusting and steering and applied to a crawler type building climbing vehicle, which can automatically judge whethera deviation occurs in the forward direction and automatically or manually adjust the steering during the traveling process. Includes a central control means for judging whether the control message from the front-end operating means includes an emergency stop command or not; If it is determined that the control message includes an emergency stop command, stopping the operation of the left motor andthe right motor; If it is determined that the control message does not include an emergency stop command, the left motor and / or the right motor are driven to perform an operation according to the control message, and the central control means judges whether the first driving current input to the left motor is overloaded according to the feedback of the first driving current detecting means and judges whether the second driving current input to the right motor is overloaded according to the feedback of the second driving current detecting means, If none of the motors is overloaded, the left motor and / or the right motor are continuously driven to perform operation, and if the motors are overloaded, the first driving current and / or the second driving current are adjusted by pulse width modulation, higher stability factor and safer driving.