452 results about "Observability" patented technology

The present invention is directed to system for and methods of real time observing, monitoring, and detecting anomalies in programs' behavior at instruction level. The hardware assist design in this invention provides fine grained observability, and controllability. Fine grained observability provides unprecedented opportunity for detecting anomaly. Controllability provides a powerful tool for stopping anomaly, repairing the kernel and restoring the state of processing. The performance improvement over pure software approach is estimated to be many orders of magnitudes. This invention is also effective and efficient in detecting mutating computer viruses, where normal, signature based, virus detection is under performing.

A navigation route obstructed-by-building detection unit detects that a navigation route is obstructed by buildings, and a modified navigation route drawing unit in a navigation route drawing unit displays the navigation route by lifting it on or above the buildings. At the time, a ratio of obstructed portion calculating unit calculates the ratio of the portion of the navigation route obstructed by the buildings, and a display of navigation route in lifted state discriminating unit determines whether or not the ratio is equal to or larger than a predetermined value. When the ratio is equal to or larger than the predetermined value, an amount of navigation route displayed in lifted state calculating unit calculates a lifting amount, and a modified navigation route drawing unit displays the navigation route by lifting it by the lifting amount. Thereafter, a building/landmark image forming unit semi-transparently draws the portion of the buildings corresponding to the portion of the navigation route that is lifted and displayed. With the above arrangement, a user can easily observe the navigation route which is otherwise poor in observability.

The invention provides a double-antenna GNSS (Global Navigation Satellite System)/INS (Inertial Navigation System) deeply integrated navigation method and device. The device comprises a power supply module, an MEMS (Micro Electro Mechanical System) inertial measurement unit, a radio frequency module, an FPGA (Field Programmable Gate Array) module, a DSP (Digital Signal Processor) module and at least two antennas. According to the device, with the assistance of an INS, the probability of cycle slip of the GNSS can be reduced effectively, the integer ambiguity searching space of the GNSS is reduced, attitude measurement information is guaranteed to be continuously outputted, and the tracking loop robustness of the GNSS is enhanced; and with the assistance of a double-antenna GNSS, quick initial alignment of the INS can be realized, the attitude observability of the INS is improved, and the attitude divergence of the INS is inhibited.

A method for adaptive and intelligent Network Functions Virtualization (NFV) workload placement includes monitoring operation of a network with resources including one or more Virtual Network Functions (VNFs) and microservices; responsive to a request for a service in the network, decomposing the service into interconnected functional atoms, with the functional atoms located in one or more network domains including one or more of different data centers in the network and a user device associated with the service, wherein the functional atoms are decompositions of the VNFs and the microservices into a smaller level of functionality than the VNFs and microservices, wherein the functional atoms are based on isolability, observability, and measurability; and instantiating the service in the network based on the determined placement of the functional atoms.

An underwater moving target positioning algorithm based on single beacon is characterized in that one overwater moving beacon is used to position an underwater moving target; the moving beacon is provided with a satellite positioning receiver; and the underwater moving target is provided with a horizontal gesture sensor, a navigation speed sensor, and a vertical position sensor. Through the technology, the linear distance between the underwater target and the beacon can be obtained, at the same time, measured values of gesture, speed, and depth of underwater target can be obtained by the sensors carried by the underwater target; on the basis of the linear distance and measured values, a system model is established, the initial state is calculated, the state observability analysis is performed, the state equation is discretized, and finally Kalman filtering is carried out so as to obtain the estimate value of position of the underwater target.

The initial attitude determination method for SINS comprises: rotating the SINS from initial position to any one position round arbitrary 3D axis; according to SINS output on first position and the relation of earth rotational angular velocity and acceleration of gravity, determining the initial attitude primarily; then, using Kalman filter to estimate the gyro constant drift and other values for more accurate initial attitude. This invention improves observability and precision.

The invention belongs to the technical field of inertial navigation and also provides a strapdown inertial navigation initial alignment method for an antenna tracking and stabilizing platform, which aims to further improve the precision and the speed of initial alignment of a strapdown inertial navigation system. A kalman filter state equation with a speed error as a state variable and an observation equation with a speed error as an observation value are established, and a carrier misalignment angle is estimated by a kalman filter technology and is fed back into the system for implementing initial alignment of the system. The strapdown inertial navigation initial alignment method has the main advantages that under a condition that a conventional hardware structure of the system is not changed, the initial alignment of a rotating base is implemented by fully utilizing the structural characteristic of the antenna tracking and stabilizing platform, so that the observability of the strapdown inertial navigation system is improved, and furthermore, the precision of the initial alignment of the strapdown inertial navigation system is effectively improved.

The present invention relates to a lightweight beacon system, affixable, for example, to UAS, aircraft without electrical systems, airport surface vehicles, skydivers, gliders, and/or balloons. The lightweight beacon system uses a small, low-powered, portable radio beacon to broadcast the location of the aircraft, vehicle, or person to which the beacon system is attached. The lightweight beacon system is compatible with the FAA's Automatic Dependent Surveillance-Broadcast (ADS-B) service, thereby providing a means for unmanned aircraft systems (UAS), aircraft without electrical systems, airport surface vehicles, or persons to be observable to other general aviation aircraft operating in their proximity.

The invention relates to an SINS (strapdown inertial navigation system) initial alignment method based on earth rotation angular rate constraint. The method adopts a Kalman filtering technique for alignment. On the basis of the traditional speed error measuring model, earth rotation angular rate is added as a constraint condition to obtain an improved initial alignment error model. The error model improves the observability of a system during stationary base alignment. By conducting Kalman filtering based on the model to estimate the attitude misalignment angle, the speed error, the gyroscope constant drift and the accelerometer constant bias of the system, the initial attitude and skyward gyroscope drift of the SINS can be obtained more rapidly and accurately. The SINS initial alignment method based on earth rotation angular rate constraint has the characteristics of autonomous navigation, high accuracy, high flexibility, simplicity and convenience, and is suitable for all kinds of medium-accuracy and high-accuracy SINSs.

The invention discloses one power system broad measurement system PMU device optimization method, wherein, the current method concentrated on small PMU for total observation and this invention considers the minimum generation tree method to improve PMU system robust property on N-1 false without impact on multiple linkage.

A method and a system are presented for determining the observability of faults in an electronic circuit. In the method, for each element the time periods are determined in which an occurrent fault could cause a deviation in analysis output signals.

This is a nonlinear dynamic state estimation method based combined measurement by PMU and SCADA. A static module is established on the history data of SCADA. In case of non-measurement for part of nodes, conduct an accurate measure on adjacent nodes by PMU. An estimation on the non-measured nodes is made by Gauss-Seidel method.

The invention discloses a web service combination method based on depth reinforcement learning for overcoming the problems of long time consumption, poor flexibility and non-ideal combination effect of the traditional service combination method in large-scale service scenes. The depth reinforcement learning technology and the heuristic thought are applied to the service combination problem. In addition, by considering the partial observability of the real environment, the service combination process is converted into a partially-observable Markov decision process POMDP, the solution problem of the POMDP is solved by using a recurrent neural network, and the method still expresses high efficiency encountering the challenge of curse of dimensionality. By adoption of the method provided by the invention, the solution speed can be effectively improved, the dynamic service combination environment is automatically adapted on the basis of ensuring the quality of the service combination scheme, and the adaptability and the flexibility of the service combination efficiency is effectively improved in a large-scale dynamic service combination scene.

The invention relates to a method for designing a Mars entry phase autonomous navigation scheme based on observability degree analysis, belongs to the technical field of deep space exploration, and particularly aims to optimize the geometric configuration of a navigation beacon so as to realize the design of the Mars entry phase autonomous navigation scheme and ensure the optimal navigation property by utilizing observability degree of a navigation system to represent the property of the navigation system and by combining the Mars entry phase autonomous navigation scheme based on radio measurement. According to the method provided by the invention, the observability matrix is calculated through a linearization method, the calculation amount is small, and the calculation speed is high; the observability degree of the navigation system is defined by inverse of the condition number of the observability matrix, and a quantitative gauge is provided for observability of the navigation system; and the observability degree of the navigation system can be maximized, so that the property of the navigation system can be further improved.

The invention discloses an active distribution network multi-stage planning method. How to comprehensively consider the uncertainty of source-load network storage in distribution network planning is aproblem that needs to be studied in-depth. The invention comprises the following steps: inputting power system parameters, historical operation data, regional development planning demand and predicted uncertain factor data; Calculating the shadow price of each planning decision quantity in each running scenario with multi-time scales; According to the shadow price and the occurrence probability of each scene, establishing the running constrained scene library including extreme scenes and classical scenes. According to the constrained scenario library, modifying the upper-level multi-stage planning optimization model. The invention screens out the planning scene database with pertinence and typicality to revise the optimization model of planning investment, which is used to simulate the feedback of the operation decision-maker to the planning decision-maker, thereby improving the observability of the massive operation scene result of the distribution network, hierarchically solving thedecision variables of different time scales, and reducing the solution difficulty.

The invention provides a method and device for estimating the harmonic state of an electric power system. The method includes the steps of collecting network topology information corresponding to the electric power system, collecting measuring point position information in the electric power system, collecting measuring point harmonic information in the electric power system, making network topology observability analysis and determining the observability range in the current electric power system according to the network topology information, the measuring point position information and the measuring point harmonic information, and determining a harmonic state parameter corresponding to the current electric power system according to the observability range in the current electric power system. Suspicious harmonic injection nodes are led to an observability analytic logical judgment method, the whole network analysis is achieved by the adoption of a recursive algorithm, measuring point optimal allocation is achieved according to different user needs, and the problems that the algorithm is complex, the calculated quantity is large, and the fact that a measurement device has voltage and current measuring capacity at the same time is not considered in the prior art are solved.

Observability of damage precursor, damage and usage states, or event occurrence may be enhanced by modifying component materials to include self-monitoring materials or by processing test material to alter the surface properties. The properties of the self monitoring materials, such as magnetic permeability or electrical conductivity, are monitored with electromagnetic sensors and provide greater property variations with component condition than the original component material. Processing includes shot peening or laser welding.

The invention provides a rotating strapdown system on-site proving method based on digital high-passing filtering, which comprises the steps: (1) determining an initial position parameter of a carrier by a GPS; (2) collecting data output by an optical fiber gyroscope and an acceleration meter, and processing the data; (3) rotating and stopping at four positions of a single axis of an inertia measurement unit; (4) analyzing biased observability degree of an inertia device by using a spectral condition number method; (5) filtering the Schuler period contained in velocity information of a navigation system by adopting an IIR high-passing digital filter; and (6) taking filtered velocity information as observed quantity, and estimating the deviation of the inertia device by adopting a Kalman filtering technique. When the carrier is in anchoring state, the adoption of the method can obtain higher on-site proving precision.

The invention relates to a random sampling analog circuit compressed sensing measurement and signal reconstruction method, which belongs to the field of electronic system test and fault diagnosis. Aiming at a fault signal having a sparsity distribution characteristic per se or in an orthogonal space in an output response of an analog circuit, a test node is selected according to a circuit topology structure, circuit output responses are randomly sampled under a distributed sensor test network, response signals are expressed in a sparse way on a transform domain by utilizing discrete orthonormal basis, compressed sensing measurement of the sparse signals is completed under observability matrix projection, and when the recovery rate of signal reconstruction by randomly compressed sampling points reaches more than 80 percent, the compressed measurement values of the circuit output responses are effective, can form a characteristic set and can be used for analog circuit fault diagnosis. The method solves the problems that the traditional analog signal sampling occupies a large number of hardware resources, large signal reconstruction calculated amount and the like; and the random sampling compressed sensing measurement method is utilized to improve the efficiency of electronic system testing.

The microwave unit door includes a metallic door frame (1) with an interior glass pane (3) and outer glass pane (2) held spaced apart in it. To improve the observability of the interior of the microwave unit without loosing the microwave shielding effect, e.g. previously provided by a metal screen between the glass panes, and to prevent condensate formation, the interior glass pane (3) closest to the processing space (I) has at least one optically transparent electrically conductive first layer (13) with a microwave absorption capability such that it heats up to prevent condensate formation during operation. The outer glass pane (2) has at least one optically transparent electrically conductive second layer (12) reflecting microwaves passing through the first layer.

Provided are photoluminescent markings that contain a photoluminescent layer and one or more functional overlayers wherein the photoluminescent marking has an emission signature that lies partly or fully in the infrared region of the electromagnetic spectrum. One functional overlayer conceals the photoluminescent layer and blends into the background or blends with marks that are normally present, without significantly reducing the luminescent intensity of the photoluminescent layer. Another functional overlayer provides photolytic stability to the underlying photoluminescent layer. The invention also includes functional overlayers that enhance the daytime observability of the infrared emissions. A further functional overlayer prevents the observability of a printed message with the naked eye. A combination of functional overlayers each providing a different function is also included. As well, the present invention includes a multifunctional overlayer. The present invention also relates to methods of creating and using the inventive photoluminescent markings as well as objects containing the inventive photoluminescent markings.

A method of debugging an individual core in core based system-on-a-chip (SOC) ICs with high accuracy and observability, and a structure of SOC incorporating the method. The method includes the steps of building two or more metal layers of a pad frame for each core in an SoC while connecting I/O (input and output) pads on a lower metal layer to a top metal layer, thereby exposing all I/O pads and power pads on a surface of the top metal layer of the pad frame of each core, and applying test vector to each core through the I/O pads on the top metal layer of the core and evaluating response outputs of the core received through the I/O pads on the top metal layer.

The invention provides a mother substrate used for detecting winding of an array and a detecting method thereof. The mother substrate consists of a liquid crystal panel array and a testing area, wherein the liquid crystal panel array comprises m rows and n columns of liquid crystal panels, an array winding is arranged between grid electrode driving areas and source electrode driving areas in the liquid crystal panels, and the testing area further comprises a testing pad group and a testing line group which are electrically connected with each other. In addition, the testing line group penetrates through the area at which the liquid crystal panel array and the testing pad area are positioned. The array winding and the testing line group are electrically connected by virtue of an outgoing line group so as to detect the array winding in the liquid crystal panels, one end of the outgoing line group is electrically connected to the array winding of the liquid crystal panel, and the other end of the outgoing line group is electrically connected to the testing line group. Furthermore, the detection method is used for detecting the situation of the array winding by means of the outgoing line group through a detection system with strong observability.

Emitter target range and heading are estimated from bearing measurements enhancing bearings-only estimator convergence to a target track, and permitting optimization of an observer position relative to the target at the end of the total bearing measurement period. One or more estimates of the target range, speed and heading made from bearing measurements before an observer maneuver are used to determine the most appropriate observer maneuver giving complete bearings-only target-motion-analysis observability. A set of parameters characterizing a set of potential emitter signal sources is generated based on measured emitter characteristics. A most probable set of emitter platforms is identified and the emitter operating mode and corresponding platform set are associated with a kinematic regime set. A specific speed or discrete set of speeds best adapted to a set of all possible platform missions, emitter speed as a continuous function of emitter range, and emitter range are all determined.

A technique for observability based coverage of a design under test (DUT) is presented. A conventional simulation signal is augmented to include a “tag value.” In the course of a simulation, assignment statements (for which observability-based coverage is desired) “inject” tag values on their output signals. A tag value contains an identifier uniquely identifying the assignment statement that produced it. A tag value also contains a “tag history.” The tag history contains copies of the tag values for assignment statements earlier in the flow of control or in the flow of data. If a tag propagated through the DUT appears at an observable output, the circuit designer knows that the assignment statements it identifies have satisfied observability based coverage.

Damage and usage conditions in the vicinity of fasteners in joined structures are nondestructively evaluated using the fasteners themselves. Sensors or sensor conductors are embedded in the fasteners or integrated within the fastener construct, either in the clearance gap between the fastener and the structure material or as an insert inside the shaft or pin of the fastener. The response of the material to an interrogating magnetic or electric field is then measured with drive and sense electrodes both incorporated into the fastener or with either drive or sense electrodes external to the fastener on the material surface. In another configuration, an electric current is applied to one or more fasteners and the electric potential is measured at locations typically between the driven electrodes applying the current. The potential is measured circumferentially around the fastener at locations on the material surface or across pairs of fasteners throughout or along the joint. The voltage or potential measurement electrodes may be collinear with the drive electrodes. State sensitive material layers can be added either to the fastener or the test material layers in order to enhance observability of the test material condition, such as the presence of a crack, mechanical stress, delamination, or disbond.

The invention discloses a multi-ship collaborative navigation formation configuration method based on underwater acoustic communication. The method comprises the steps as follows: a system state equation and a measurement equation are established according to a collaborative navigation system model; a nonlinear system Lee derivative observability theory is used for performing observability analysis on the equations; an underwater acoustic communication blind zone model is established according to wake flows generated by propellers at the tails of ships; a safety zone model is determined according to safety distances among the ships; and finally, an unmanned ship formation configuration design scheme is obtained on the basis that the observability, the wake flow communication blind zone and the safety distance zones among the ships are comprehensively considered. According to the method, collaborative navigation system formation configuration optimization design is realized, and the method is applicable to formation configuration designs under multi-ship collaborative navigation conditions. According to the method, the formation configuration layout obtained without consideration of wake flow influences has a high practical value on the collaborative navigation system formation configuration design.

Unknown alignment biases of sensors of a tracking system are estimated by an iterative Kalman filter method. Current measurements are corrected for known alignment errors and previously estimated alignment biases. The filter time reference is updated to produce estimated target state derivative vectors. A Jacobian of the state dynamics equation is determined, which provides for observability into the sensor alignment bias through gravitational and coriolis forces. The target state transition matrix and the target error covariance matrix are propagated. When a new measurement becomes available, the Kalman gain matrix is determined, the state vector and covariance measurements are updated, and sensor alignment biases are estimated. The state vector, covariance measurements, and estimated sensor alignment biases are transformed to an estimated stable space frame for use in tracking the target and updating the next iteration.