359results about How to "Increase uncertainty" patented technology

The invention discloses a petroleum wellhead annular space sealing device. The petroleum wellhead annular sealing device is used for sealing an annular space between a wellhead sealing body and a petroleum pipe, at least one annular groove is formed in the inner wall surface of the sealing body, and the sealing body is provided with an injection hole which is communicated to a centrifugal end of the annular groove; the petroleum wellhead annular space sealing device further comprises a sealing ring, a power ring, and an injection component, wherein the sealing ring is embedded into the annular groove, the sealing ring is used for sealing the groove in the radial direction by being jointed to the wall surface of the annular groove, and is used for sealing the annular space by being jointed to the outer wall of the petroleum pipe, the power ring is installed in the annular groove and is located between the groove bottom of the annular groove and the sealing ring, and the injection component is installed in an inlet of the injection hole, and is used for injecting fluid with given pressure so as to make the power ring push the sealing ring to tightly press the petroleum pipe. In the petroleum wellhead annular space sealing device, the requirement for deformation capability of a sealing part is low, and meanwhile the sealing capability can be effectively improved.

Disclosed are systems and methods which detect unauthorized, impermissible, or otherwise undesired call activity through a silence detection technique employing multiple samples. One embodiment monitors a call in progress to detect an event such as might be indicative of unauthorized call activity. Thereafter, a sampling process may be invoked which analyzes multiple samples of the call to make a determination as to whether or not a particular unauthorized call activity is being attempted. A party to the call may be muted to thereby prevent that party from thwarting the unauthorized call activity determination. Embodiments implement techniques for defeating parties to calls learning the unauthorized call activity detection system in order to avoid detection, such as by implementing a plurality of detection techniques.

A system and method for encryption, transmission and decryption of data based on a publicly or other wide area broadcast random number sequence. Encryption is by a selected subsequence from the broadcast random number sequence, the selection being at a sample time relative to a synchronization event, with the sample time calculated based on a private key. Decryption uses the same private key to select the same subsequence from the broadcast random number sequence, as detection by the sender and receiver of the synchronization event and a sampling time based on a commonly known private key allows the sampling to be synchronous. Alternative embodiments employ trusted agents if the tender and receiver do not have a common private key.

At least one exemplary aspect comprises a method comprising: (a) receiving electronic data describing a trading order for a market-traded security; (b) checking the data describing the trading order against one or more sets of conditions, and identifying one or more of the one or more sets of conditions that is satisfied; (c) based on the identified one or more of the one or more sets of conditions that is satisfied, identifying a class of trading algorithms appropriate for execution of the trading order; (d) selecting with a processing system one or more trading algorithms from the identified class of trading algorithms, for execution of the trading order; and (e) commencing with the processing system execution of the trading order via the selected one or more trading algorithms; wherein the processing system comprises one or more processors. Other aspects and embodiments comprise related computer systems and software.

A system 100 for authenticating a physical product 110, such as a banknote, including at least one physical product and a verification device 130. The physical product including a random distribution of a plurality of physically detectable particles 112 in a substrate of the product. In association with the physical product, a digital representation (114) is stored (‘stored representation’) of measured physical properties of the particles including an actual distribution of at least some of the particles, where the physical properties are measured through reflection and transmission. The verification device includes a measurement unit 450 for determining a digital representation (‘measured representation’) based on measurements of physical properties of the particles, including an actual distribution of at least some of the particles, through reflection and transmission; and a comparison unit 470 for comparing the measured representation with the stored representation.

The invention relates to a single-wheel robot system and a control method thereof, belonging to the field of intelligent robot, in particular to a static unbalanced robot which can autonomically control movement balance further to autonomically ride a monocycle and a movement balance control method thereof. The single-wheel robot comprises a robot body and a balance detection and control system and is characterized in that the lower part of the robot body is provided with a single wheel which can rotate front and back, and the middle of the robot is provided with an inertial flywheel which can rotate left and right and is horizontally placed; the balance detection and control system comprises a movement controller, a posture detector and a servo drive controller, wherein the posture detector and the servo drive controller are connected with the movement controller; and the movement controller 10 receives a signal of a posture sensor and processes the received signal according to a control procedure so as to send a control order to control a motor through the servo drive controller to regulate the posture balance of the single-wheel robot. The invention provides a control platform which not only belongs to robotics but also belongs to the field of control science and intelligent control, thereby meeting the needs of multi-subject scientific research and teaching.

The invention discloses a product order prediction method and device with time series characteristics. The product order prediction method comprises obtaining statistics of order data of enterprises at every time point according to stored historical order data; selecting a prediction model according to the time series characteristics of the order data and determining a prediction output equation of the prediction model; enabling the statistics of the historical order data to be processed as a prediction input table according to the requirements of the prediction model and training a corresponding prediction network model; and utilizing the prediction input table of the prediction order quantity to calculate to obtain the prediction order quantity of orders according to the prediction model which is well-trained through prediction orders and the prediction output equation. The invention also provides the product order prediction device according to the product order prediction method. The product order prediction device mainly comprises a data acquisition module, a data preprocessing module, a time series modeling module and an order prediction module. The product order prediction method and device with the time series characteristics have the advantages of solving the nonlinear problem of product order prediction, meeting the requirements of system real-time performance and improving the prediction accuracy.

A method of designing a material by optimising values for design variables includes the steps of: (i) providing one or more property models that produce a prediction for a value of a respective property of the material as a function of the design variables and produce a value for the uncertainty in the prediction, (ii) setting a specification target for a desired value for each property and a probability for that specification target to be met or exceeded, (iii) determining a probabilistic target for a value for each property, the probabilistic target being based on the specification target and the probability, and defining a merit index factor based on the degree to which a given prediction satisfies the probabilistic target, (iv) constructing an overall merit factor from the individual merit index factors of the properties, and (v) determining a set of optimal design variables that optimise the overall merit factor.

A downhole acoustic measurement tool includes at least one transmitter longitudinally spaced apart from a non-uniformly spaced longitudinal array of acoustic receivers. The array has a non-uniform spacing such that a first spacing between a first pair of consecutive acoustic receivers in the array is not equal to a second spacing between a second pair of consecutive acoustic receivers in the array. Non-uniform spacing of the receivers in the array reduces aliasing when the received waveforms are processed, for example, to obtain semblance data.

The invention discloses a correlation-considered GEPOPF (Combined Natural Gas and Electric Probabilistic Optimal Power Flow) calculation method. The lowest total operation cost of an interconnection system is used as an optimization control objective; the safety of an electric system and the safety of a natural gas system are considered; the influence of random factors is considered in an optimization process; the correlation among random variables is considered; and through the probabilistic OPF (Optimal Power Flow) calculation, the probability statistics information of the state variables and an objective function is obtained.

The invention relates to an auto-disturbance rejection controller-based iterative learning contour error control method for a networked multi-axis motion control system. According to the method, firstly, the uncertainty of the system caused by time-varying delay is dynamically processed as one part of the total disturbance of the system, and the total disturbance of the system is expanded into a new variable. In this way, an augmented model of a networked single-axis servo control system is established. Secondly, an expanded state observer is designed to estimate the state of the augmented system, and then a linear self-disturbance rejection controller based on the expanded state observer is adopted to realize the tracking control of a single-axis trajectory. Thirdly, the contour error model of the system at the current moment is calculated. According to an obtained contour error, a contour error compensation controller based on an iterative learning control algorithm is designed. In this way, the high-precision tracking control on the contour of the system is achieved. The method realizes the good tracking control performance for the single-axis trajectory, and the good anti-disturbance capability for the model uncertainty of the system. The high-precision tracking control performance for the contour of the system is also achieved.

A method for computer-aided closed and/or open-loop control of a technical system is provided. A first value of an output quantity is predicted on a data-based model at a current point in time. A second value of the output quantity is determined from an analytical model. The state of the technical system at the current point is assigned a confidence score in the correctness of prediction of the data-based model. A third value of the output quantity is determined from the first and second value as a function of the confidence score for controlling the technical system. A suitable value for the output quantity can be derived from the analytical model even for regions of the technical system in which the quality of prediction of the data-based model is low because of a small set of training data. The technical systems can be turbines, such as gas turbines.

The invention discloses a method for performing passenger flow OD calculation by combining bus and rail transit card swiping data. The method comprises the following steps: step 1, obtaining a getting-on station; step 2, reckoning a get-off station; step 3, inferring the get-off time of the passenger; step 4, generating a passenger flow OD matrix; and step 5, performing station passenger flow statistics. According to the method, the bus and the rail transit data are combined for passenger flow OD inference, the transfer behavior between the bus and the rail transit is considered, and the passenger flow OD inference accuracy is improved. Passenger flow OD inference is carried out by combining a travel chain method and two station attraction weight methods, so that the uncertainty of predicting passenger getting-off stations only according to the station attraction probability is effectively improved. The model is deployed on a Spark platform to operate, and the passenger flow OD of allbuses and rail transit lines in the Chongqing is deduced for only 3 hours, so that the calculation efficiency is greatly improved.

The invention provides a polarization code decoding method, i.e. a PR-SCL (Path Reused-SCL) decoding algorithm. According to the algorithm, the variance of each layer of measurement values of a decoding tree can be calculated in the decoding process, and the degree of uncertainty of code word selection of the path of the layer can be detected. After a variance threshold is set, nodes of which the variance is less than the threshold are recorded as the error-prone nodes of the decoding path. After failure of present CRC verification, the path is expanded in the special nodes directly by using the path reuse technology, and SCL decoding is continued again until the correct path is found. When the SNR is medium or higher, repetitive calculation of the measurement values can be avoided by using the repeat path so that the decoding complexity can be greatly reduced without changing decoding accuracy.

The invention relates to the field of analytical chemistry and discloses a method for rapidly detecting a main component in active lime and passivated lime. The method comprises the following steps: 1, weighing a proper amount of active lime and passivated lime samples and carrying out a blank test along with the samples; placing the samples into a heating container; adding a proper amount of hydrochloric acid solution; heating till the samples are completely decomposed; cooling a few undissolved substances of the passivated lime sample to the room temperature; after the solution is filled into a volumetric flask to fix volume, respectively extracting two parts of proper amount of test solution; and 2, respectively titrating calcium oxide and magnesium oxide or calcium and magnesium. Theinvention has the characteristics that the sample decomposition is simplified, and a measurement error is reduced and the analysis time is shortened by controlling the titer of EDTA and EGTA titrand within the burette volume range; two separately added indicating agents are prepared into a mixed indicating agent to be added once when the calcium and magnesium or magnesium oxide is directly titrated so as to reduce the operation time; and the final result is obtained by adding the experience correction coefficient in the passivated lime sample.

A high efficient organic modifier for acidic soil is prepared by taking crop straws as raw materials and is characterized by the steps of drying and crushing straws of legume crops, putting into a heating furnace, and carrying out indirect heating for dry distilling and charring at 350 DEG C for four hours. The high efficient organic modifier for acidic soil is completely made from crop straws without any other matters added, is processed and prepared by employing prior equipment and technology, and features abundant raw materials and convenient preparation.

Embodiments of the invention provide program file verification methods and devices, a server and a terminal. The program file verification method applied to the server can comprise steps of after a communication connection with the terminal is established, acquiring a version number of an application package; acquiring a random number corresponding to the application package; generating a first Hash value by use of a preset Hash algorithm according to the random number and file content of a preset to-be-verified file in an application package with a version number prestored by the server; sending the random number to the terminal, so as to enable the terminal to generate a second Hash value by use of the preset Hash algorithm according to the random number and file content of a preset to-be-verified file in a local application package of the terminal; acquiring related information of the second Hash value generated by the terminal; and determining a verification result of integrity of the preset to-be-verified file in the terminal. Through adoption of the method, the accuracy of integrity verification of the program file can be improved.

A method and apparatus for determining an efficient and reliable power level for the MS's transmitter for reverse link communications during a rescue procedure to rescue dropped calls quickly and with a high success rate is disclosed. A mobile station's mean rescue transmission output power level is computed by first determining the mobile station's mean receive input power level when the mobile station transmits during a connection rescue procedure. This mean receive input power level is then adjusted using up to four parameters. These four variables include (1) a pre-rescue power delta, (2) a rescue interference delta, (3) a rescue delay compensation value, and (4) a pre-determined value.

Methods and systems for estimating values of process parameters, structural parameters, or both, based on x-ray scatterometry measurements of high aspect ratio semiconductor structures are presented herein. X-ray scatterometry measurements are performed at one or more steps of a fabrication process flow. The measurements are performed quickly and with sufficient accuracy to enable yield improvement of an on-going semiconductor fabrication process flow. Process corrections are determined based on the measured values of parameters of interest and the corrections are communicated to the process tool to change one or more process control parameters of the process tool. In some examples, measurements are performed while the wafer is being processed to control the on-going fabrication process step. In some examples, X-ray scatterometry measurements are performed after a particular process step and process control parameters are updated for processing of future devices.

The invention discloses a text information-based deep reinforcement learning interactive recommendation method and system, and belongs to the field of interactive personalized recommendation, and themethod comprises the steps: respectively converting commodities and users into commodity vectors and user vectors based on text information, and carrying out the clustering of the users; establishinga recommendation model for each user category based on DDPG, and establishing a global environment simulator; for any recommendation model, constructing an action candidate set Can (ui, t) in the t-thround of interaction; enabling the strategy network to take the state st of the current user as an input, obtaining a strategy vector pt, and selecting an action vector at from the Can (ui, t) according to the pt; enabling the valuation network to take the pt and st as input, and calculating a Q value used for evaluating the advantages and disadvantages of pt; in each round of interaction, enabling the environment simulator to calculate a feedback reward value and update the state of the current user; and outputting a feedback reward value to the value estimation network, correcting the valueestimation network, reversely conducting the Q value to the strategy network, and adjusting the strategy network to obtain a better strategy vector. The recommendation efficiency and the recommendation accuracy can be improved.

The invention provides a false location- and geometry-based location privacy protecting method in a location service and belongs to the technical field of information safety. The method has the advantages that the method is based on a DLS algorithm and uses entropy to allow anonymization degree to be constant, side information which may be mastered by attackers is considered, and the relevance, namely semantic coefficient of locations and inquiry contents and time is also considered; meanwhile, whether the real location of a user contains in the location information in the request message generated by the method or not can be selected freely; due to the fact that the side information which may be utilized by the attackers and the relevance of the locations and inquiry contents and time are considered during false location selection, K anonymity can be achieved, the user can acquire the large-enough entropy, and the exposing probability of the real location of the user is lowered.

The invention discloses an image sorting method and system for active learning. The image sorting method comprises the following steps: for an original unmarked image sample set, firstly considering the uncertainty of all samples only, and acquiring all image samples with teh relatively high uncertainty from the original unmarked image sample set to form a most uncertain image sample set; then evaluating the representativeness of all the samples in the most uncertain image sample set, acquiring all the samples with the relatively high representativeness and forming a most representative image sample set; subsequently, carrying out marking and sorter training on the selected samples with the relatively high uncertainty and representativeness, and sorting target images by utilizing the trained sorter. Therefore, the image sorting method and system disclosed by the invention have the advantages that the mode of layering evaluation is adopted, firstly the samples are reduced and screened on the basis of uncertainty, then the representativeness evaluation is carried out on the uncertain image sample set with the relatively high uncertainty and sample-scale reduction, so that the uncertainty and the representativeness of the samples are guaranteed, the processing time and the workload for sampling are reduced and the processing efficiency is improved.

Image processing methods and related apparatuses (SEG,UV). The apparatuses (SEG,UV) operate to utilize noise signal information in images (IM). According to one aspect, apparatus (SEG) uses the noise information (FX) to control a model based segmentation. According to a further aspect, apparatus (UV) operates, based on the noise information (FX), to visualize the uncertainty of image information that resides at edge portions of the or an image (IM).

The invention discloses an electric power Web application mimicry defense system. The system comprises an information fragment randomized transmission module, a request distribution balancing module,a response redundancy voter, a non-similar Web virtual machine pool, a dynamic executor scheduler and a database instruction isomerization module; the dynamic executor scheduler is used for controlling the state of each Web service executor; the information fragment randomized transmission module fragments and randomizes Web service requests; and the request distribution balancing module dynamically distributes each Web service request to a plurality of heterogeneous redundant Web service executors, processes the same Web service request in a non-cooperative manner, and returns response information to the response redundancy voter for voting. According to the electric power Web application mimicry defense system, the uncertainty of the system is increased, the vulnerability utilization feasibility on which attacks depend is destroyed, and the probability that the system is successfully attacked is reduced; through the design of a voting mechanism, abnormal feedback information of attacks is detected and filtered, so that the system is prevented from being threatened by unknown vulnerabilities.