415 results about "Single measure" patented technology

The invention relates to the technical field of mine support, and particularly relates to a test bed for testing integrated mechanical properties of an anchor rod and a test method. The test bed comprises a pushing and mixing test mechanism, an installation pretension test mechanism, a bending load test mechanism, an axial load test mechanism, a shearing load test mechanism and an impact load test mechanism, wherein the pushing and mixing test mechanism and the installation pretension test mechanism are arranged on an installation test bed, and the bending load test mechanism, the axial load test mechanism, the shearing load test mechanism and the impact load test mechanism are arranged on a work test bed. By using the test bed, the installing and working process of the anchor rod can be simulated in a laboratory, and one or multiple combined external forces such as torsion, stretching, bending, shearing and impact are applied to the anchor rod; and mutually independent loading systems are adopted to apply corresponding loads to the anchor rod, so as to carry out independent experiments of various loads in the installing and working process of the anchor rod or a combined loading test of a plurality of any working stresses such as stretching, shearing and impact caused by installation stress and surrounding rock deformation, thereby effectively testing the integrated mechanical properties of the anchor rod under the combined action of various different external forces.

The invention relates to a measuring device comprising elements for measuring models for producing dental fittings by generating a three-dimensional data record as a model for the three-dimensional machining of a workpiece. The measuring elements are configured in such a way that they can also detect an identification comprising information about the workpiece. The invention also relates to a machining device for producing dental fittings from a workpiece. The device comprises a receiving device for the workpiece, an identification comprising information about the workpiece being applied to the workpiece or workpiece holder. In addition, elements for detecting the identification of the workpiece that is held in the receiving device are provided and a single measuring device is used to measure the model and to detect the identification.

The invention relates to a safety level evaluation method a power grid, comprising the following steps of: firstly determining a supposed accident list, and sequentially disconnecting elements of the supposed accident list; after a certain element is disconnected, carrying out topological structure analysis and load flow calculation on a system, and then calculating a power grid loss load risk evaluation index, a power grid overload risk evaluation index, a power grid low voltage risk evaluation index and a power grid voltage collapse risk evaluation index; repeating the process till all the elements of the supposed accident list are completely calculated; and then calculating a system single-risk evaluation index and a system total-risk evaluation index. The invention introduces a risk theory and a utility theory to the safety evaluation of the power grid, separately diagnoses the safety of the system from different side surfaces, further obtains the risk evaluation index of the whole system by an analytic hierarchy process (AHP), obtains simple and clear results and has better discrimination and can reflect the occurrence possibility of different accidental accidents and severity degree of a consequence caused by the accidental accidents.

The invention provides a high-performance navigational satellite space signal quality assessment method. A downlink signal of a navigational satellite is received by an antenna with a high gain at first, the downlink signal of the navigational satellite is amplified by low noises, and the amplified downlink signal is divided evenly into three lines for monitoring and evaluating of individual signals of the signal, and comprehensive analysis and evaluation of the signal are performed finally. The high-performance navigational satellite space signal quality assessment method is capable of evaluating the receiving quality of a downlink signal of the satellite in a high-accuracy, comprehensive and multilevel mode, and being widely applied to analysis and processing of data of other navigational systems.

The invention relates to a transformer state evaluation method based on correlation analysis and variable weight coefficients, which includes collecting data of transformer states; classifying and processing the collected data as a basis of the transformer state evaluating; evaluating the transformer states; applying a correlation analysis method to establish a comprehensive state quantity evaluation system of the transformer; utilizing a single state quantity score calculating method and a transformer overall score calculating method to grade the transformer states; extracting constant weight coefficients of each of single state quantities and comprehensive state quantities; calculating constant weight coefficients of each of the comprehensive state quantities; calculating an overall score of the transformer states based on scores of each of the comprehensive state quantities and the constant weight coefficients; and determining a transformer operation state based on the overall score of the transformer states. The transformer state evaluation method has the advantages that evaluation models are simple and easy to program, no abundant state evaluation samples are needed, operation states of transformers can be determined rapidly, and operation states and conditions of transformers are truly reflected.

A biochar-based coast saline-alkali land improvement conditioner and a preparation method and application thereof are disclosed, the biochar-based coast saline-alkali land improvement conditioner comprises, by mass, 55-60 parts of biomass charcoal, 35-40 parts of humic acid, 2-4 parts of beneficial microbial agent, 1-2 parts of urea and 3-4 parts of a binder; the biochar-based coast saline-alkali land improvement conditioner has the synergistic effect of soil improvement, activation of microorganisms, enhancement of crop saltresistance, the soil improvement helps to improve soil microflora and increase the microbial activity in the soil, microbial metabolites also enhance the crop root saltresistance, crop growth feeds back to accelerate the soil improvement, a virtuous cycle system is formed, and multiplier amplification effect can be achieved compared with a single measure.

A heart monitoring system comprises a ventricular sensing stage sensing excitation or contraction of ventricular myocardium, an activity sensor unit determining a signal reflecting a patient's physical activity, a ventricular impedance or conductance measuring module, said modules comprising a current source unit adapted to provide a sub-threshold excitation current to the myocardium and comprising an impedance or conductance measurement unit for measuring the resulting voltage on said electrode at the myocardium, a signal generator module, a filter module, a memory, a control unit adapted to derive single measures |ΣZ| of magnitude of impedance or conductance change over a preset sample time interval, determine the variability TARVI in the impedance or conductance change, compare this variability and the activity sensor output signal with a threshold and recent history, determine if sleep disturbed breathing (SDB) is present, and log the SDB episode in the memory device.

Methods and apparatus for identifying a subscriber station which is in motion, determining a mobility metric indicative of a level of mobility of the subscriber station and varying or updating one or more operating parameters based on the mobility metric. An apparatus can determine a measure of mobility based on one or a combination of a plurality of factors, such as variations in signal strength, variations in a channel estimate, or variations in phase or frequency of a particular signal or signal component. The one or more measures of mobility can be combined to form a single measure of mobility, the measure of mobility can be quantized to a predetermined number of mobility levels and one or more operating parameters can be varied or adjusted based on the mobility level.

The purpose of this invention is to provide computer or smartphone users with a self-adapting user interface and shortcuts to most frequently used actions (visual or audio).The invention may be applied to menus and to search queries. User has a choice of recent, most frequently used, group, regional or global configuration for either menu or search query defaults. These configurations can be accessed either locally on a disconnected device, synchronized between devices directly or indirectly through a third device such as a local or remote server.The search query can be visually configured to interact with any search engine. The uniqueness of this invention is in access to the last or most frequent uses. The resulting queries can extend from single-term to complex multi-term, multi-range combinations of inclusions and exclusions. The balancing of included search terms with excluded ones helps to eliminate unwanted finds in any database.

The invention discloses an intelligent combination forecasting method for short-term traffic flow, which at least comprises the following modules: 1) a historic average module, which divides different dates of one year into three different types, namely a holiday type, a weekend type as well as a Monday and Friday type, and calculates different traffic flows for each type respectively based on statistical data of historic traffic flow; 2) a neural network module, which is a parallel distributed information processing network, has the functions of non-linear mapping and associative memory, and forecasts the traffic flows through the internal relation modeling of the data; and 3) a fuzzy combination module, which aims at different traffic conditions to perform fuzzy combination transformation on the output of the historic average module and the neural network module to forecast the short-term traffic flow. The forecasting precision of the method is higher than the precision that single forecasting methods are independently used respectively, and is an effective method for forecasting the short-term traffic flow.

The invention discloses a multi-measure network abnormity detection method based on a relative entropy theory. In the detection method, an integrative relative entropy is obtained by weighting the relative entropy of a plurality of measures to judge network abnormity, thereby avoiding the problem of single-point malfunction of single-measure detection under a certain specific attack; simultaneously, abnormity detection based on the relative entropy is different from the abnormity detection of the flow rate, and the abnormity of the measures can be accurately reflected. The method is concretelyactualized according to the following steps: step 1, selecting and quantifying the measures for abnormity detection; step 2, preprocessing data; step 3, training a sample; step 4, detecting the single-measure relative entropy; step 5, calculating the multi-measure weighting relative entropy; and step 6, displaying an alarm mechanism and a detection result. The technical scheme provided by the method is beneficial to solving the problems of insufficient attack detection range and contravention between the detection rate and the misinformation lowering rate existing in the prior network abnormity detection technique and can provide various network environments, such as a host machine, a local area network, a wide area network and the like, to carry out network circuit abnormity detection.

The present invention relates to psychological and professional test equipment, and is especially method and device for monitoring psychological and professional test truth. Specifically, one physiological state monitor is increased to the psychological and professional test equipment so as to monitor the physiological index(es) of the testee synchronously while performing psychological and professional test for monitoring, analyzing and evaluating the psychological and professional test truth directly or indirectly. The present invention may be applied widely in various kinds of psychological and professional test.

The invention provides an online detection device for the pulp flow rate and a multi-parameter online detection integration system, which comprise a pulp container which has a feed port and a discharge port and is arranged on a support through a, weighing cell, a pulp flow rate detection device which is provided with a soft connector at the discharge port, and / or a pulp density measuring device, a pulp grain size measuring device and a pulp grade measuring device. The online detection device for the pulp flow rate and a multi-parameter online detection integration system can not only measure any single index of the flow rate, density, grain size and grade of the pulp according to requirements, but also simultaneously measure two or above two or even all of the indexes with high measuring accuracy, good stability and reliability. The online detection device for the pulp flow rate and a multi-parameter online detection integration system also have the advantages of simple structure, high working efficiency, low labor intensity, wide application range, etc., thereby being capable of providing the highly reliable flow rate, density, grain size and grade control parameters for liquid products to ensure product quality, reduce cost and improve working efficiency, and providing a highly guaranteed measuring device and system for full automatic control.

This invention combines methodologies that enhance voice recognition dictation. It describes features for moving speaker voice files eliminating redundant training of speech recognition dictation applications. It defines how to create synthetic voice models reducing speaker dependency. It combines accuracy and performance into a single measure called RAP Rate. Moreover, the invention describes enhancing voice recognition applications and systems by measure / adjusting hardware and software features for optimal voice recognition dictation incorporating methodical processes based on RAP Rate. Using these approaches and tools the invention includes a method for constructing a handheld transcriber that immediately translates audio speech into text with real-time display. The invention describes a method for applying RAP Rate and synthetic voice models to applications like voice mail to text. With the ability to move and translate voice models the invention describes new services that could be provided for a fee.

The invention provides an automatic testing system and a method for a power distribution terminal. The automatic testing system comprises three parts, namely a power distribution terminal information collector, a testing console and a testing workbench. The power distribution terminal information collector is used for completing reading basic information of the power distribution terminal; the testing console is used for completing managing testing information of the power distribution terminal, managing an automatic testing case of the power distribution terminal, controlling a testing single implementation process, calculating, analyzing and evaluating a testing result, and exporting testing data; the testing workbench is used for a receiving signal command of the testing console, and providing a recognizable testing excitation signal to a detected terminal. Accordingly, the automatic testing and management on the function and accuracy of the power distribution terminal can be achieved, and a testing report can be generated according to a preset evaluation rule.

The invention provides a particle swarm optimization-based least square support vector machine combined predicting method. The particle swarm optimization-based least square support vector machine combined predicting method comprises the following steps: according to data characteristics to be predicted, selecting proper single predicting models; properly combining different predicting methods; by making full use of useful information contained in the single predicting models, establishing an LSSVM (least square support vector machine) regression model; and through a PSO (particle swarm optimization), optimizing two core parameters which affect the precision of the LSSVM regression model and include a kernel function parameter g and an LSSVM regularization parameter C so as to obtain the optimal LSSVM regression model. By the method, the aims of improving the predicting precision and reducing predicting risks can be achieved; the convergence rate of the algorithm is greatly improved; and actual engineering needs can be met better.

The invention relates to an electronic device 1 offering a plurality of menu items to a user. In order to enable a user friendly selection of the menu items, the electronic device 1 comprises a screen 60, user input means 70, storing means 50 adapted to store parameters for a virtual model of a user and processing means 31. The processing means 31 are adapted to generate a visual representation of a virtual user model 61 on the screen 60 based on the stored parameters for the virtual model of a user, to cause a movement of a visually represented virtual user model 61 depending on a user input, to detect a movement of a visually represented virtual user model 61 that is associated to a particular menu item, which menu item is offered for any of a plurality of applications, and to call a function that is assigned to the particular menu item.

The present invention relates to a machine implemented method for spectral analysis that determines a measure of cross coherence between application of two spectral estimation filters to data; and identifies a spectral feature of the measure of cross coherence. One example embodiment of the present invention provides a complete statistical summary of the joint dependence of the Bartlett and Capon power spectral statistics, showing that the coupling is expressible via a 2×2 complex Wishart matrix, where the degree coupling is determined by a single measure of cross coherence defined herein. This measure of coherence leads to a new two-dimensional algorithm capable of yielding significantly better resolution than the Capon algorithm, often commensurate with but at times exceeding finite sample based MUSIC.

The invention discloses an LTE (Long Term Evolution) wireless network user sensitive monitoring method. The method comprises the following steps: S1, setting a plurality of QoE (Quality of Experience) indicators according to data service types, wherein each QoE indicator is mapped to one or more KQIs (Key Quality Indicators), each KQI is mapped to one or more KPIs (Key Performance Indicators), the QoE indicators and the KQIs are in a first mapping relationship, and the KQIs and the KPIs are in a second mapping relationship; S2, assessing scores of single KPIs according to tolerance intervals of the KPIs and actual measured values of existing network KPI data indicators; and S3, calculating scores of single KQIs according to the second mapping relationship in the step S1 and the scores of the single KPIs in the step S2, and calculating a service QoE initial quantization score based on the first mapping relationship in the step S1 and the scores of the single KQIs. The invention also provides a corresponding system. A novel user sensitive monitoring method and system are provided.

A multi-parameter aggregative indicator forecasting method of a coal petrography dynamic disaster is suitable for forecasting coal petrography dynamic disasters such as outburst of coal and gas and rock bust of coal and gas in a coal mine excavating process. When various index prediction methods are coupled in the same monitoring system, problems such as how to select importance degrees of various indicators and how to determine a critical value of the various indicators are produced. According to amplitude values of four indicators including electromagnetic radiation, slight shock, acoustic emission and gas density, an average value of the amplitude values in a normal level and the maximum value of the amplitude values of the four indicators when the coal petrography dynamic disasters happen at any moment, the multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster determines a single indicator hazard index of the four indicators at the moment. The value of single index hazard index determines single index weights of the four indicators, and therefore an aggregative indicator hazard index of the four indicators is calculated, and finally a danger class of the coal petrography dynamic disaster which happens in an excavating roadway is determined according to the value of the aggregative indicator hazard index. The multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster provides a critical value determination method and an early warning standard for the research and development of a multi-parameter monitoring system of the coal petrography dynamic disaster.

The invention discloses a low-permeability clastic rock reservoir effectiveness evaluation method based on a development permeability lower limit, and belongs to the technical field of exploration and development of petroleum and natural gas. The method comprises the following steps: A, calculating an effective development permeability lower limit under the constraints of economic limit primary oil and a development thickness; B, performing evaluation parameter optimization and single scoring based on a permeability difference value; C, computing a weight coefficient and a comprehensive score based on grey correlation analysis; D, performing low-permeability reservoir effectiveness classified evaluation based on an economic primary liquid amount. By adopting the method disclosed by the invention, the key problems of inaccurate computation of a physical property lower limit, difficulty in determining a rational evaluation parameter, uncertainty in a practical classification standard and the like in low-permeability reservoir effectiveness classified evaluation are solved, and the accuracy and practicability of effectiveness classified evaluation of a low-permeability clastic rock reservoir are improved.

The embodiment of the invention provides a ship dispatch optimization method based on a channel and berth resources. The method comprises the steps that a processor establishes an initialization constraint, a flow conversion constraint, a time slot allocation constraint and a berth conflict solving constraint according to traffic flow characteristics of different areas of a port; a multi-target ship dispatch optimization model of the single channel is established with the goals of shortest in-port time and shortest waiting time of all ships; a multi-target genetic algorithm is designed according to the berth conflict solving constraint, the flow conversion constraint and the time slot allocation constraint; the multi-target ship dispatch optimization model is solved according to the multi-target genetic algorithm, and ship dispatch is conducted according to a solved result. By means of the ship dispatch optimization method, numerous benefit parties of the ships entering and leaving the port are coordinated, port entering and leaving of the ships are dispatched reasonably, a conflict among the ships using the channel in the process of entering and leaving the port is avoided, and the efficiency of the ships entering and leaving the port is improved.

The invention relates to a multifunctional indwelling needle comprising a sleeve tube assembly and a steel needle assembly. The multifunctional indwelling needle is characterized by further comprising an anti-reflux valve, an anti-puncture safety device and a non-needle positive pressure connector, wherein the anti-reflux valve is arranged in the middle cavity of a sleeve tube seat and located at the front end of a hose communicated with the sleeve tube seat in the axial direction of the sleeve tube seat; the anti-puncture safety device is arranged on a steel needle seat, and the non-needle positive pressure connector is arranged on an external connector; the anti-puncture safety device is a non-spring anti-puncture safety device, and the non-needle positive pressure connector is a non-spring non-needle positive pressure connector. Blood can be prevented from overflowing to cause pollution due to the sealed structure; the situation that because a medical worker is punctured when the steel needle is pulled out, the medical worker catches a disease is avoided; anti-reflux double protection avoids accidental conditions caused by a single measure, the multifunctional indwelling needle is safe and reliable at work, the problems caused by blood reflux are avoided, and working efficiency of the medical worker is improved. Meanwhile, the non-spring structure avoids the corrosion problem caused by a spring structure, the multifunctional indwelling needle is safer and more sanitary, and steady and reliable working of the indwelling needle is ensured.

The invention provides a device and method for carrying out subject training based on virtual reality. The device is realized through the following components: a virtual reality driving module for simulating a real car for a user to carry out simulated driving and subject training, a subject training module for splitting the subject training into a certain quantity of single trainings, a point position teaching module for teaching a student through a passing method of each subject and calling a pre-stored key operating instruction at a key point, and a scoring module for scoring a driving process of the user according to a subject examination scoring rule and judging whether a subject examination passes or not. The device and method, provided by the invention, have the beneficial effects that point positions are clear and the method is clear; the burdens of the students and trainers are reduced through a plurality of types of repeated learning, and contradictions between the students and the trainers are avoided; the learning time of the students in real cars on site is shortened and the operation cost of driver training schools and the trainers is greatly reduced; the subject is split into a plurality of single courses and each single course is split into a plurality of courses, so that the school effect of the students is improved.

The invention discloses a coal and gas highlight real-time prewarning method based on multi-source information fusion. The coal and gas highlight real-time prewarning method comprises the following steps that an advanced knowledge base is built up; judging criteria of a highlight dangerous single index are built up; various highlight dangerous prediction information is collected; multi-level fusion is conducted on the collected various information; real-time evaluation and level early prewarning of dangerousness are highlighted; and the dangerousness prevention is highlighted. According to thecoal and gas highlight real-time prewarning method, aiming at different characteristics of difference and prediction methods of highlight sensitive indexes represented by highlight dangerousness in different mines, after diagnosis evaluation is conducted on equipment monitoring and manual inspection detection information based on highlight omens from different information sources, real-time prediction of multi-source information fusion is conducted by utilizing an information fusion theory and a time-space coupling mechanism, so that precise prewarning information is provided, the wideness and real-time performance of collection of omen information before highlight happening are improved, and the accuracy of highlight dangerousness prediction is improved greatly.

An apparatus and method for precisely measuring various biological information of a user's body by using a single measuring apparatus enable precisely and effectively measuring biological information including body fat, pulse and a blood vessel aging degree. By measuring an infrared absorbance or infrared rays irradiated to a measurement target according to a modulation and tuning method and obtaining the information with reference to supplementary biological information obtained from a user, the plurality of biological information can be precisely measured at a low driving voltage through the modulation and tuning method by using a single infrared light source. Also, the measuring apparatus can be reduced in size by simplifying its construction and can be effectively integrated into various device.

The invention relates to a preparation method for high-purity isopropyl alcohol. The high-purity isopropyl alcohol is prepared by performing molecular sieve dehydration, resin dehydration, reverse osmosis, high-temperature rectification, ion exchange and circular filtration on industrial grade isopropyl alcohol serving as a raw material in sequence and continuously purifying. The purifying route of the preparation method is reasonable and skillful in design, high-purity electronic-grade isopropyl alcohol of which the single cation concentration is less than 10ppt, each single antion concentration is less than 1ppb and the water content is less than 20ppm can be obtained finally, and stable, reliable, batch and mass production of electronic-grade isopropyl alcohol can be realized.

The complex rotary wing / off-set rotary wing craft of the present invention has design of appearance, configuration and performance different from that in available rotary wing craft and off-set rotary wing craft, and has the comprehensive capacity and advantages of several kinds of craft. The new technology and design of the present invention may be used in design of helicopter and other rotary wing craft.