286 results about "State distribution" patented technology

This invention provides methods, devices and device components for preparing ions from liquid samples containing chemical species and methods and devices for analyzing chemical species in liquid samples. The present invention provides an ion source for generating analyte ions having a selected charge state distribution, such as a reduced charged state distribution, that may be effectively interfaced with a variety of charged particle analyzers, including virtually any type of mass spectrometer.

In an SSD controller reading from flash memory, subsequent to failure of an initial soft-decision decoding attempt based on a nominal LLR, soft-decision re-decoding attempts are made using compensated LLR soft-decision information sets, pre-calculated at respective read-equilibrium points corresponding to mean shifts and variance change in the actual charge-state distributions of the flash memory channel. According to embodiment, soft-decision re-decoding attempts are performed without a retry read, or overlapped with one or more retry reads. By overlapping re-decoding with one or more retry reads, the probability of successful decoding increases, the need for further retry reads diminishes, and throughput is improved. The LLR compensation becomes very effective over a large number of retry reads, improving decoding reliability and achieving close to optimal bit error rates, even in the presence of large channel variation.

A computing system for performing stateful distributed computing includes a client machine having a Client Runtime Environment (CRE) that is adapted to maintain the state of an application in the client machine. The CRE maintains state of the application by first retrieving a first markup document of the application, creating and storing a first object oriented representation of information contained in the first markup document. The first object oriented representation defines a first state of the application. Next, retrieving a second markup document, creating and storing a second object oriented representation of information contained in the second markup document. Finally merging the first and second object oriented representations thereby forming a new object oriented representation of information contained in the first or the second markup documents. This new object oriented representation defines a new state of said application. The CRE may further update the new state of the application by retrieving one or more additional markup documents, creating and storing one or more additional object oriented representations of information contained in the one or more additional markup documents, respectively, and merging the one or more additional object oriented representations with the new object oriented representation thereby forming an updated state of the application.

The invention relates to a network public sentiment hotspot prediction and analysis method, which comprises the following steps: step (1) inputting public sentiment information collected in time into a hotspot public sentiment prediction model based on fast content identification; dividing the public sentiment information into hotspot public sentiment and ordinary public sentiment according to the processing results, and sending the pre-warning for the hotspot public sentiment; step (2), inputting the ordinary public sentiment into a hotspot prediction model based on numerical value expression, carrying out numerical value pattern matching on the input ordinary public sentiment information from the participating people number distribution and the time state distribution; and detecting the hotspot public sentiment information which is omitted in the detection in the first step; step 3, analyzing the hotspot public sentiment; and step 4, predicting the hotspot public sentiment. The invention combines the contents and the numerical values, and belongs to the integrated public sentiment hotspot monitoring method with the advantages of short prediction time and accurate prediction effect.

A method for designing an illumination light source, includes acquiring a control feature to control a dimension of a transferred pattern of a mask pattern; designating a plurality of illumination elements illuminating the mask pattern; designating first illumination lights to each of first polarization states of a light emitted from each of the illumination elements; calculating a first optical image of the control feature, formed on a first imaging plane by each of the first illumination lights; and determining an illumination shape and a polarization state distribution of the light, based on an optical characteristic of the first optical image.

An environment detection unit (40) detects the positions, motion states, and movement states of moving objects, and also detects multiple types of road-division regions and stationary-object regions. A mapping generation unit (42) generates an existence-possibility mapping in which existence possibilities are assigned to the detected road-division regions and stationary-object regions. On the basis of the detected positions, motion states, and movement states of the abovementioned moving objects, a moving-object generation unit (44) generates a moving-object position distribution and movement-state distribution and records said distributions in the existence-possibility mapping. On the basis of said moving-object movement-state distribution, a position update unit (46) moves the moving-object position distribution. A distribution change unit (48) changes the moved position distribution on the basis of the existence possibilities in the existence-possibility mapping, and a future position distribution for the moving objects in the existence-possibility mapping is predicted. This makes it possible to predict future positions of moving objects in a variety of situations with high precision.

Methods of erasing a sector of multi-level flash memory cells (MLB) having three or more data states to a single data state are provided. The present invention employs an interactive sector erase algorithm that repeatedly erases, verifies, soft programs, and programs the sector in two or more erase phases to achieve highly compact data state distributions. In one example, the algorithm essentially erases all the MLB cells of the sector to an intermediate state and corresponding threshold voltage value using interactive erasing, soft programming and programming pulses in a first phase. Then in a second phase, the algorithm further erases all the MLB cells of the sector using additional interactive erasing and soft programming pulses until a final data state is achieved corresponding to a desired final threshold voltage value of the cells. Optionally, the algorithm may include one or more additional phases of similar operations that successively bring the memory cells of the sector to a compacted common erased state in preparation for subsequent programming operations. In one aspect of the method, the actual threshold values and / or data states chosen for these phases may be predetermined and input to the memory device by the user.

Set pulses with finite rise time that heat up phase change alloy between about nucleation temperature and about average of crystallization and melting temperatures are proposed for programming phase change memory from reset to set state in order to minimize energy during this transition and to achieve uniform set state distribution. Non-square reset pulses with finite rise time that heat up phase change alloy at or above melting temperature are proposed for programming phase change memory from set to reset state in order to improve cell endurance.

To store input data in a plurality of memory cells, a mapping function of bit sequences to physical parameter states of the cells is provided. The cells are programmed, in accordance with the mapping function, to store the input data, in a way that would store uniformly distributed data with a programming state distribution other than any native state distribution of the mapping function. To store input data in a single memory cell, a mapping function of bit sequences to states of a physical parameter of the cell, such that if uniformly distributed data were stored in a plurality of such memory cells then the states of the physical parameter of the cells would be distributed non-uniformly, is provided. The memory cell is programmed to store the input data in accordance with the mapping function.

The invention relates to a robot positioning method based on a wireless sensor network and a geomagnetic map. wireless sensor network nodes, during the movement of the robot, by activating A wireless sensor network node, use RSSI to obtain the observation model of wireless sensor network nodes and robots; then use PSO and multi-sensor information fusion to obtain the particle likelihood; at the same time obtain the weight of particles in the particle swarm optimization method; Resampling and fitness function judgment are used to obtain the position of the optimal particle, obtain a local geomagnetic map, and use the geomagnetic matching method to achieve precise positioning, and finally obtain the absolute position. The present invention is easy to associate data, no wrong association occurs during observation, and the robustness and accuracy of the network are improved; at the same time, a more realistic system state distribution prediction is obtained, which makes the positioning of the robot more accurate and reduces the calculation amount of geomagnetic matching. The real-time performance of the method is increased.

A system that displays performance data for a computing environment. During operation, the system determines performance states for a plurality of entities that comprise the computing environment based on values of a performance metric for the entities. Next, the system displays the computing environment as a tree comprising nodes representing the plurality of entities and edges representing parent-child relationships between the plurality of entities. Then, for each parent node in the tree, the system determines counts of one or more performance states for descendants of the parent node in the tree. Finally, the system displays a graphical representation of the determined counts while displaying the parent node. In some embodiments, displaying the graphical representation of the determined counts includes displaying a circular ring comprising visually distinct sections associated with different performance states, wherein the visually distinct sections are sized proportionately with the determined counts for the associated performance states.

A method for simulating urban land use change merges an idea of dynamic neighborhood into a cellular automation and a Monte-Carlo model and regulates a range of local neighborhood according to different cell state distribution and by a Monte-Carlo method, so that the problems of spatial-dimension uncertainty and time-dimension randomness of urban land use change are solved, and simulation of the urban land use change is implemented. The method includes: acquiring and preprocessing data; determining cell size, cell state and iteration time according to a classification chart, and using the Monte-Carlo model to determine the range of dynamic neighborhood; establishing a land use change simulation system based on the Monte-Carlo model and the cellular automation model; using the land use change simulation system to simulate and predict by the Monte-Carlo method and the cellular automaton method; and analyzing a land use structure based on simulation results. By the method, the problem of uncertainty occurring in simulation of urban land use change is solved, and simulation effect and precision are improved.

A system that displays performance data for a computing environment. During operation, the system determines performance states for a plurality of entities that comprise the computing environment based on values of a performance metric for the entities. Next, the system displays the computing environment as a tree comprising nodes representing the plurality of entities and edges representing parent-child relationships between the plurality of entities. Then, for each parent node in the tree, the system determines counts of one or more performance states for descendants of the parent node in the tree. Finally, the system displays a graphical representation of the determined counts while displaying the parent node. In some embodiments, displaying the graphical representation of the determined counts includes displaying a circular ring comprising visually distinct sections associated with different performance states, wherein the visually distinct sections are sized proportionately with the determined counts for the associated performance states.

A stress management device is formed in an integrated design that enables pulse measurement, display of results and a power supply gathered into a small finger clip device. The stress management device includes a non-invasive infrared sensor that identifies and measures pulse rate variability and utilizes that information to calculate the power spectrum distribution and create a curve of the results multiple times per second. The device incorporates a display screen on which a graphic image of a pair of lungs filling and emptying to encourage the user into a predetermined breathing pattern known to reduce stress levels during a training period. After the completion of the training period, the device presents a score reflecting the percentage of times the user achieved high, medium and low relaxation states, and a pie chart reflecting the distribution of the states of relaxation calculated during the training period.

A system and method recognizes speech securely. The system includes a client and a server, The client is configured to provide securely speech in a form of an observation sequence of symbols, and the server is configured to provide securely a multiple trained hidden Markov models (HMMs), each trained HMM including a multiple states, a state transition probability distribution and an initial state distribution, and each state including a subset of the observation symbols and an observation symbol probability distribution. The observation symbol probability distributions are modeled by mixtures of Gaussian distributions. Also included are means for determining securely, for each HMM, a likelihood the observation sequence is produced by the states of the HMM, and means for determining a particular symbol with a maximum likelihood of a particular subset of the symbols corresponding to the speech.

The invention discloses a vertical mill operation regulation and control system based on data mining and a method thereof. The method is characterized by using an integration characteristic screening method to carry out mining analysis on work condition data and acquiring a vertical mill health state assessment index; carrying out cluster mining analysis on a work condition state, acquiring a characteristic of each condition cluster, and acquiring each state distribution condition in historical work conditions; defining operation state types in the historical work conditions and acquiring a stable mode condition database; using an ARIMA algorithm to carry out training model on a determined characteristic value in a vertical mill health state characteristic acquisition module and predict a parameter change trend, and using a predicted value to assist state identification; combining the predicted value given by an ARIMA model, determining a vertical mill operation state; when the state is determined to be abnormal, reading a work condition record in the stable work condition mode database, acquiring a recommended regulation and control target value and regulating and controlling a controllable parameter at the moment. In the invention, vertical-mill qualitative and quantitative regulation and control suggestions can be accurately provided and a mill machine can work stably for a long time.

The invention discloses a data mining-based slag grinding system health state identification system and method. According to the data mining-based slag grinding system health state identification system and method of the invention, a comprehensive feature screening method is utilized to carry out mining analysis on working condition data so as to obtain key parameters which affect the stability of a vertical mill, and the key parameters are adopted as indicators of vertical mill health state assessment; based on the identified indicators of the vertical mill health state assessment, clustering and mining analysis is performed on working condition states, so that the features of various of working condition clusters are obtained; the state distribution conditions of historical working conditions are obtained, and operating state categories in the historical working conditions are defined; and the ARIMA algorithm is adopted to train a model for determined feature values in a vertical mill health state feature acquisition module, and the change trend of parameters is predicted, and a prediction value is utilized to assist state identification. The data mining-based slag grinding system health state identification system and method of the invention have the advantages of high recognition precision, great generalization ability and high performance, and is suitable for the health state identification and diagnosis of a slag grinding system.

Methods of erasing a sector of multi-level flash memory cells (MLB) having three or more data states to a single data state are provided. The present invention employs an interactive sector erase algorithm that repeatedly erases, verifies, soft programs, and programs the sector in two or more erase phases to achieve highly compact data state distributions. In one example, the algorithm essentially erases all the MLB cells of the sector to an intermediate state and corresponding threshold voltage value using interactive erasing, soft programming and programming pulses in a first phase. Then in a second phase, the algorithm further erases all the MLB cells of the sector using additional interactive erasing and soft programming pulses until a final data state is achieved corresponding to a desired final threshold voltage value of the cells. Optionally, the algorithm may include one or more additional phases of similar operations that successively bring the memory cells of the sector to a compacted common erased state in preparation for subsequent programming operations. In one aspect of the method, the actual threshold values and / or data states chosen for these phases may be predetermined and input to the memory device by the user.

A non-volatile device and method of operating the device including changing a read reference level for reading a group of memory cells as a function of changes in a threshold voltage distribution of a different group of memory cells. The changing step may include determining a history read reference level of a history cell associated with a group of memory cells of a non-volatile memory cell array and comparing sensed logical state distributions with stored logical state distributions.

An exhaust pipe devised to, at the flow of high-temperature exhaust gas through the exhaust pipe, lower the temperature of the exhaust gas. The exhaust pipe has the following characteristics. The exhaust pipe has a tubular base material of metal and, provided on the outer circumferential surface of the base material, a surface coating layer composed of a crystalline inorganic material and an amorphous binder material. In the surface coating layer, the crystalline inorganic material is distributed in the state of being multiply stacked one upon another in the direction of thickness of the surface coating layer. The average thickness of the amorphous binder material located on the side of outer circumferential surface relative to the crystalline inorganic material is 20 μm or less. The exhaust gas flows through the interior of the pipe.

A non-volatile device and method of operating the device including changing a read reference level for reading a group of memory cells as a function of changes in a threshold voltage distribution of a different group of memory cells. The changing step may include determining a history read reference level of a history cell associated with a group of memory cells of a non-volatile memory cell array and comparing sensed logical state distributions with stored logical state distributions.

The invention relates to a catalyst for preparing ethanol by acetate hydrogenation as well as a preparation method and application of the catalyst. The catalyst comprises a mesoporous silica molecular sieve, an active copper component, and an oxide assistant of one or two elements of La and Ce. The catalyst comprises the following components in percentage by weight: 50-90% of silicon oxide, 10-50% of active copper component, and 0.1-20% of assistant. The preparation method of the catalyst combines a unique structure in the mesoporous molecular sieve MCM-41 forming process, a stilling ammonia precipitation-crystallization method is adopted to prepare a high dispersion copper-based and silicon-based catalyst, and the catalyst is favorable for enhancing the dispersion degree of the copper, and is suitable for forming the valence state distribution of the copper. The catalyst provided by the invention is used in the reaction of preparing ethanol by acetate hydrogenation, the conversion ratio of acetate is 98.5%, and the ethanol selectivity is 99.6%, and the hydrogenation activity, selectivity and stability are extremely high.

Disclosed is a fuel cell simulator for predicting the power generation performance of a fuel cell including a membrane-electrode assembly having an electrolyte membrane, a catalyst layer, and a diffusion layer. The fuel cell simulator includes a model creation unit for modeling a catalyst layer from the geometry and property data of the catalyst layer, and a calculation unit for calculating the power generation state distribution of the catalyst layer or macro physical property values by using the catalyst layer model and establishing simultaneous equations of gas transportation, water production-transportation phase change, electrical conduction, heat conduction, and catalytic reaction.

The invention relates to a water adding system of a ship lock and a construction method thereof. A technical problem to be solved is to provide a water adding system of the ship lock and a construction method thereof. The water adding system has the advantages of high energy dissipation efficiency, full utilization of lock head space, even water level surge height, favourable current joining condition and simple structure, can effectively solve energy and flow state distribution of high-speed current, and can expand new research field for design and type selection of moderate lift lock water delivery system. The technical scheme solving the problem is as follows: the water adding system of the ship lock comprises a lock head baseplate, lock head side blocks, a lock chamber baseplate and a lock chamber. The water adding system is characterized in that a water blocking wall and a lock head screen wall are connected between the lock head side blocks on two sides; a group of tongue-flap shape water inlets with vertical fall are arranged between the water blocking wall and the lock head screen wall; an annular water delivery corridor communicating the water inlet with the lock chamber is arranged in the lock head side block, and an energy consumption chamber is arranged between the outlet end and the water inlet of the annular water delivery corridor. The invention is mainly suitable for water conservancy and hydropower engineering and water transport traffic engineering.

The invention provides a method and device for evaluating the gas supply reliability of a natural gas pipeline network, and relates to the technical field of a natural gas transmission technique. The method includes: establishing a capacity network of the natural gas pipeline network; determining a first failure probability of each pipeline unit in the preset failure mode, and determining first state distribution of each pipeline unit during preset time; determining a second failure probability of each natural gas station unit, and determining second state distribution of each natural gas station unit during preset time; updating the capacity network in real time; supplying gas to each user in the natural gas pipeline network, and determining gas supply information of each user; and determining the gas supply reliability of each user and the average lack amount of each user according to the gas supply information of each user. The method and device can accurately evaluate the gas supply reliability of the natural gas pipeline network in the condition of different interference factors, and solves the problem that advantages and disadvantages of gas supply of the natural gas pipeline network are difficult to confirm.

The invention provides a particle optimizing probability hypothesis density multi-target tracking method based on variation filtering. According to the multi-target tracking method, distribution parameters of target state variables are taken as random variables, posteriori distribution of the random variables is solved through a variation Bayes method, optimized filtering state distribution is obtained after estimated values of the parameters are determined, and particles are sampled randomly by taking a state distribution function as an importance function of a truth approaching posteriori PHD function, so that most of the sampled particles are distributed at high-likelihood-probability positions, observation information is used reasonably, the phenomenon that according to a traditional particle probability density hypothesis method, the particles are sampled at low-likelihood-probability positions to cause particle degeneracy is avoided, and finally the performance of the particle probability hypothesis density multi-target tracking method is improved.