413 results about "Single measure" patented technology

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.

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 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.

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 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 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.

The invention relates to a regional soil environment priority control pollutant screening method based on health risk. The method comprises the following steps of: (1) preliminarily screening out pollutants to be subjected to priority control in a regional soil environment; (2) removing pollutants which are not appointed in a Chinese environment priority control pollutant blacklist, an American environmental protection agency (EPA) focal control pollutant name list and a potential chemical priority control name list in China, surveying and sampling in the site, and removing pollutions with low over standard rate and low detection rate; (3) constructing a first-level screening system according to the durability, the environment effect, the bioeffect and the biological toxicity in the pollutant environment, and selecting pollutants with relatively high mark levels by a multi-index comprehensive evaluating method; (4) determining a population exposure way, constructing a second-level screening system, performing toxicity estimation, and selecting pollutants with relatively high single toxicity; and (5) determining the regional soil environment priority control pollutants by considering the health risk as well as the environment control and monitoring feasibility.

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.