52 results about "Total population" patented technology

A system for establishing a wireless link from a wireless communication device (WCD) to at least one target device. The process of both identifying the target device and establishing a link to this device may incorporate the orientation and / or movement of the WCD into the procedure in lieu of the extensive use of traditional menu interfaces. A WCD may interpret a combination of orientation and / or movement as an approximate target device location that may be utilized to narrow the total population of all located devices into a subset containing those devices located within of near the approximate target device location. The subset of devices may be formulated and displayed as potential target devices for selection by a user. If any of the potential target devices are known by the WCD, a link may be established automatically.

A coating composition produces a protective coating to a substrate, which coating has an improved surface smoothness. The coating composition comprises a mixture of at least a first type of particles and a second type of particles that are dispersed in a liquid medium. The particles form a total population of particles having a median ESD in a range from about 1 to about 7 micrometers. The different types of particles have different median ESDs. The first type of particles has a maximum ESD of about 40 micrometers, and the second type of particles has a maximum ESD of about 20 micrometers. A method for producing a coating having an improved surface smoothness comprises applying such a coating composition on a substrate and curing the coating composition to produce a protective coating. The coating may be further densified by a burnishing process or further improved by applying another coating comprising particles having ESDs less than about 4 micrometers.

The invention provides a dense population estimation method and a system based on multi-feature fusion. The method comprises the following steps: partitioning an image into N equal sub-blocks; performing hierarchical background modeling on the image by using a method based on a CSLBP (Center-Symmetric Local Binary Pattern) histogram texture model and mixture Gaussian background modeling, extracting the foreground area of each sub-block subjected to perspective correction, detecting the edge density of each sub-block in combination with an improved Sobel edge detection operator, and extracting four important texture feature vectors in different directions for describing image texture features in combination with CSLBP transform and a gray-level co-occurrence matrix; performing dimension reduction processing on the extracted population foreground partition feature vectors and texture feature vectors through main component analysis; inputting the dimension-reduced feature vectors into an input layer of a nerve network model, and acquiring the population estimation of each sub-block through an output layer; adding to obtain the total population. The dense population estimation method and system have high accuracy and high robustness, and a good effect is achieved in the population counting experiment of subway station monitoring videos.

The invention aims at providing a method for collecting spatial population distribution in real time on the basis of mobile phone big data and realizing large passenger flow early warning. The method is characterized by comprising the following steps of obtaining real-time mobile phone big data from a mobile phone communication operator at each statistics moment; dividing a target region into different space regions; at the current statistics moment, mapping the latest space position of each EPID (Electronic Portal Imaging Device) obtained in the first step to each space region of the target region; and obtaining the real population size (the distribution condition of the total population in the whole target region) in each space region at the current statistics moment. The method has the advantages that the sufficient relying on the existing mobile phone big data resources is realized; the continuous encrypted position information of the existing mass anonymous mobile phone users in the mobile communication network is used; the low-cost high-frequency and automatic implementation can be realized; and the popularization distribution data in a large-range urban space range can be continuously obtained in a fast deploying way.

A system that incorporates teachings of the present disclosure may include, for example, a computing device having an interface for receiving seed information, and a controller to identify one or more outliers from a reduced sampling of a total population of on-line social network (OSN) users according to the seed information and at least one of a social graph or a generalization of portions of the total population of OSN users. Additional embodiments are disclosed.

A target audit methodology to provide a transaction-based detail of errors in an environment with a high volume of transactions. The primary components comprise a distributed computer network, such as the global Internet, coupled to numerous databases and a workstation. A Random Sample Query is used to pull a statistically valid sample from a general population of transactions to identify initial transaction errors. The initial transaction errors are analyzed to determine parameters for identifying other similar errors with a high probability of occurrence within the total population of transactions. A Possible Error Query is designed to retrieve these specific error types and is processed against the population of transactions. The results of the Possible Error Query are assigned financial impact and detailed for the client by individual transaction in an invoice.

A method for determining a distribution of a parameter of a particle population is disclosed whereby the following steps are performed: a) detecting on a pixel array of elements a plurality of images of the particles; b) determining a number of pixels in the form of a pixel count corresponding to each of the plurality of images of particles; c) obtaining a plurality of weighting factors which relate values of the parameter to different pixel counts; and, d) utilizing the plurality of pixel counts and the weighting factors to determine the distribution for the parameter of the particle population. The method depends on the facts that the total population to be analyzed contains many particles and is uniformly distributed, over many frames, throughout the optical sampling volume, and that even when substantial uncertainty exists on the parameter value corresponding any individual image, the statistical information which is obtained from many images may be used to provide accurate distributions.

Methods, systems, and computer program products for transmitting neural signal information. Methods, systems, and computer programs products are disclosed for neural channel selection in a multi-channel system. A method according to one embodiment can include a step for receiving a plurality of neural signals on a first plurality of channels. The method can also include a step for calculating criterion variable value for the neural signal on each of the channels. In addition, the method can include a step for ranking the channels by the criterion variable value. The method can also include a step for calculating mutual information between a measured output and a total population activity for the first plurality of channels. Further, the method can include a step for determining a second plurality of channels that encodes a predetermined amount of the mutual information.

The invention discloses a method for constructing an earthquake disaster casualty population estimation model. The method includes a step of acquiring a plurality of historical seismic data includingmagnitudes of earthquakes, epicenters of the earthquakes, earthquake years, and earthquake casualty population, a step of determining the affection area of an earthquake of this time according to theearthquake magnitude and the epicenter of the earthquake, a step of determining a total population of the earthquake affection area according to population distribution data of the earthquake affection area, a step of obtaining a population casualty rate of the earthquake according to the earthquake casualty population and the total population of the earthquake affection area, and a step of establishing the earthquake disaster casualty population estimation mode characterized by an earthquake magnitude according to the magnitudes of historical earthquakes and corresponding earthquake population casualty rates. By using the model, the scope and casualty population of an earthquake disaster affection area can be quickly calculated at the first time of obtaining the earthquake magnitude, anda basis is provided for corresponding rescue measures through the rapid evaluation of a casualty after an earthquake disaster.

A method in the field of intelligent traffic technique for retarding the congested traffic using the intelligent traffic information is disclosed. The steps as following: (1) setting the traffic situation; (2) selecting the parameter value; (3) obtaining the original state of all vehicles, the vehicle state is defined by the location xn(t), velocity vn(t) and acceleration an(t), n=1,...,N, N is the total population of the vehicles; (4) considering the motion state of vehicle queue at time t>0, assuming the disturbing vehicle moves following the predetermined scheme, the vehicle in queues runs accompanying the queue according to the method based on the intelligent traffic information, considering the velocity and position of all running vehicles at time t>0: xn(t), vn(t) and an(t),n=1,...,N. The invention retards the phenomenon of congested traffic in the course of movement, so it can retard and prevent the appearance of congested traffic when satisfying the developing condition and spreading condition when stimulating the congested traffic.

A marketing method and system. The method includes receiving by a computing system total population data. A peer group is selected from the total population data. The peer group is associated with a first marketing action. A list of attributes characterizing the peer group is generated. The attributes are associated with the marketing action, demographic data, and additional purchasing habits of the peer group. A target group of individuals of the total population data is selected. The attributes are associated with the individuals of the target group. Scores associated with the individuals of the target group are generated. The individuals of the target group are ranked based on said scores. A ranking list based is generated. The ranking list includes the individuals of the target group in a ranked order. The ranking list is stored.

The present invention relates to a Chinese traditional medicine for treating throat diseases of chronic laryngeal yin symptoms and method for making same. According to related iatrology clinical reports, the number of patients suffering from various chronic throat diseases is 12% of the total population in china. At the present time, in china, there are few pure Chinese traditional medicine formulation medicines for treating clinically throat diseases, especially for treating chronic laryngeal yin (vocal nodules, sound tape polypi, mucous membrane thickening) and the like. According to the present invention, pinellia tuber, kernels of peach, rouge vegetal for promoting flow of qi and blood circulation, eliminating the silt and vein relaxing, fritillaria and chicken's gizzard-skin for liquefying the phlegm and breaking the mass, are used as the principal agents; together with flower of honeysuckle, dandelion for preventing phlegm silt and avoiding the fire change of yang, ophiopogon root for nourishing yin and moistening dryness, oroxylum indicum for guiding jing and relieving depression; to reach the functions of silt eliminating and phlegm degeneration. Thus, the present invention has remarkable curative effects, can exert curative effects to more degree, with short curative effect periodic time, fast effects, high strengthening rate, without clinical toxic and side effects and recurrences.

The present invention relates to a method for determining a distribution of a parameter, e.g. cross-sectional area, of a particle population for identifying specific types of particles therein. A plurality of images of the particles are detected on a pixel array and a number of pixels in the form of a pixel count is determined for each of the plurality of images of particles. Weighting factors, e.g. a probability which relate values of the parameter to different pixel counts are used to determine the distribution for the parameter of the particle population. The method depends on the facts that the total population to be analyzed contains many particles and is uniformly distributed, over many frames, throughout the optical sampling volume, and that even when substantial uncertainty exists on the parameter value corresponding any individual image, the statistical information which is obtained from many images may be used to provide accurate distributions.

The present invention provides a cold-rolled and annealed steel sheet of thickness between 0.7 mm and 2 mm, mechanical strength ranging from 1180 MPa to 1320 MPa, wherein the hole expansion ratio Ac % is greater than 20% and the bending angle is greater than or equal to 40°. The chemical composition includes, the contents being expressed as weight percent: 0.09%≤C≤0.11%, 2.6%≤Mn≤2.8%, 0.20%≤Si≤0.55%, 0.25%≤Cr<0.5%, 0.025%≤Ti≤0.040%, 0.0015%≤B≤0.0025%, 0.005%≤Al≤0.18%, 0.08%≤Mo≤0.15%, 0.020%≤Nb≤0.040%, 0.002%≤N≤0.007%, 0.0005%≤S≤0.005%, 0.001%≤P≤0.020%, Ca≤0.003%, the remainder being iron and inevitable impurities resulting from processing. The sheet has a microstructure including martensite or lower bainite. A sum of the surface fractions of martensite and lower is between 40% and 70%, from 15% to 45% of the surface fraction is low-carbide bainite, from 5% to less than 20% of the surface fraction is ferrite, the non-recrystallized ferrite fraction relative to the total ferrite fraction is less than 15%, and less than 5% of the surface fraction of residual austenite is in the form of islands. The fraction of former austenitic grains in which the size is less than at least one micrometer represents 40% to 60% of the total population of the former austenitic grains.

Methods (200) and a system are disclosed for one or more appliances (102, 104, 106) including a controller (110) for managing power consumption within a household. The controller (110) is configured to receive and process a signal (112) indicative of one or more energy parameters of an associated energy utility, including at least a peak demand period or an off-peak demand period. A generated serial number is obtained from an original serial number (108) of the appliance (102, 104, 106) or controller (110), which is configured for a signal (112) to communicate to the appliance (102, 104, 106) within a population and command the appliance (102, 104, 106) to operate in an energy savings mode and a normal mode at various time periods. The generated serial number (GSN) is used to segregate a total population into segments to provide granularity in assigning DR activations and deactivations based upon the GSN.

The invention discloses a compound sterilization method applicable to processing of fresh donkey milk. The compound sterilization method comprises the following steps: treating fresh milk, crushing rice, coldly milling and homogenizing; raising the pressure to 450MPa from normal pressure within 3min in a high-pressure sterilization tank under the condition that the temperature is 13 DEG C, and sterilizing for 2min; lowering the pressure in the tank to 300MPa within 1.5min and maintaining for 2min; raising the pressure to 450MPa from 300MPa within 2min and keeping sterilization for 3min; after 3min, lowering the pressure to the normal pressure; pasteurizing at 64 DEG C to 68 DEG C for 10min to 15min. All nutrients of the donkey milk are not obviously changed; after the donkey milk is frozen at 5 DEG C for 40 days, the total population quantity of bacterial colonies in the sterilized donkey milk is 5.00+ / -0.50cfu / ml, the population quantity of escherichia coli is 0.00cfu / ml and the population quantity of staphylococcus aureus is 1.00+ / -0.10cfu / ml; good technical effect is obtained.

The present invention relates to a Chinese traditional medicine for treating laryngopharyngeal paresthesia and method for making same. According to related iatrology clinical reports, the number of patients suffering from various throat diseases is 12% of the total population in china. At the present time, the most of the medicines for treating throat inflammation in china are a drug for treating a plurality of diseases, and the curative effect is not very ideal, especially medicines for treating chronic laryngeal yin, laryngopharyngeal paresthesia, sound tape thickening symptoms and the like exhibits tiny tiny curative effects. According to the medicine composing prescription in accordance with the present invention, pinellia tuber, Arisaema cum bile for dispersing pathogenic wind and resolving phlegm, poria cocos wolf which is sweet and light and used for excreting dampness to cultivate the spleen, perilla stem, magnolia bark and citrus aurantium for elevation and subsidence of the functional activities of qi, are used as the principal agents; together with amomum fruit, areca-nut, medicated leaven for activating the spleen and harmonizing the function of the stomach, oroxylum indicum for guiding jing and relieving depression, cicada-shell for relieving sore-throat and spasmolysis; then the medicine composing prescription has the functions of functional activities of qi smoothing, phlegm dehumidificaiting, throat benefiting and the like.Thus, the medicine has remarkable curative effects, can exert curative effects to more degree, with short curative effect periodic time, fast effects, high strengthening rate, without clinical toxic and side effects and recurrences.

A method and system for determining whether the number of samples taken from a population of units where the distribution of X and Y variables are unknown by evaluating ratio mean measurements on a computer to determine a confidence interval. The method comprising: inputting samples from the total population with each unit sample having at least two variables X and Y; redefining the multivariate data that comprises the two variables X and Y; estimating the mean; computing the standard error; using a bootstrapping method, generating boot strap samples, computing a Z distribution based upon the bootstrap samples; and computing the confidence interval. The system comprises a processor for performing the steps of the method

The invention discloses a health product having an anti-fatigue effect. According to statistics, the incidence rate of a sub-health state is 70% of the total population, and the sub-health state greatly affects the quality of human life and consumes human life costs. The health product is prepared by taking pearls, hippocampus, syngnathus, sea snakes, sea shrimps, sea cucumber, oysters and other seafood as main ingredients and combining a part of medicine and food dual-purpose traditional Chinese medicines; through providing high-quality proteins, polypeptides, amino acids, zinc, iron, selenium, magnesium, calcium, phosphorus and other minerals, the health product make a human body supplemented, can eliminate fatigue, thereby adjusting the sub-health state of the human body. After the heath product is made into a liquid agent, a mouse anti-fatigue test is performed; and results show that compared with a control group, the average time of 5 groups of mice to sink into water is 45 minutes, while the average time of the control group to sink into water is 25 minutes. Therefore, the results show that the health product can significantly improve the swimming ability of the mice, and reveal that the health product has the anti-fatigue effect.

The invention discloses a tourist area resident household electricity prediction method, characterized by comprising the steps of: step 1, collecting data: including target year per capita household electricity consumption C, target year permanent resident total population N, target year total floating population M, target year population distribution characteristics and a maximum load equivalent hour; step 2, calculating equivalent permanent residents N1; step 3, calculating a population imbalance coefficient sigma; step 4, correcting the maximum load equivalent hour; step 5, predicting required electric quantity An; and step 6, predicting a residential electricity consumption maximum load Pn.max. The method makes tourist area resident household electricity prediction more practical, does not depend on historic data, and is suitable for resident household electricity prediction of areas lacking historical data or having no reference values, especially for tourist area resident household electricity prediction.

The invention discloses a blood-washing sterilizing soap which is to evenly add acetylsalicylic acid, boric acid and essence into a soap base. The blood-washing sterilizing soap can achieve the aims of washing bloodstain and killing bacteria, particularly can wash the bloodstain on underpants polluted by the menstrual blood and on the skin of the women who accounts for one half of the total population, can kill bacteria and prevent the breeding of the bacteria, prevent the women from having gynecologic diseases, and achieve the aims of sanitation and health care.

The invention relates to a multi-factor fusion school age population forecasting method based on a depth neural network, which comprises the following steps: 1) preprocessing household registration data and provident fund data of each school district; 2) According to the preprocessed data, the distribution of population age, the length of school-age population moving in, the length of school-age population households moving in, the amount of provident fund contribution, and the time series of total population and school-age population are calculated, and the relative normalization treatment iscarried out; Using CNN and LSTM network to extract the temporal depth characteristics of total population and school-age population; 3) that total population time series depth characteristic, the school-age population time series depth characteristic, the population age distribution, the school-age population immigration time distribution, the school-age population household immigration time distribution, the provident fund contribution amount distribution and the like are spliced and sent into the whole connection layer to calculate the predicted value of the school-age population. The invention has important practical significance for reasonably planning educational investment and optimizing educational resource allocation.

Methods, systems, and computer program products for transmitting neural signal information. Methods, systems, and computer programs products are disclosed for neural channel selection in a multi-channel system. A method according to one embodiment can include a step for receiving a plurality of neural signals on a first plurality of channels. The method can also include a step for calculating criterion variable value for the neural signal on each of the channels. In addition, the method can include a step for ranking the channels by the criterion variable value. The method can also include a step for calculating mutual information between a measured output and a total population activity for the first plurality of channels. Further, the method can include a step for determining a second plurality of channels that encodes a predetermined amount of the mutual information.

A coating composition produces a protective coating to a substrate, which coating has an improved surface smoothness. The coating composition comprises a mixture of at least a first type of particles and a second type of particles that are dispersed in a liquid medium. The particles form a total population of particles having a median ESD in a range from about 1 to about 7 micrometers. The different types of particles have different median ESDs. The first type of particles has a maximum ESD of about 40 micrometers, and the second type of particles has a maximum ESD of about 20 micrometers. A method for producing a coating having an improved surface smoothness comprises applying such a coating composition on a substrate and curing the coating composition to produce a protective coating. The coating may be further densified by a burnishing process or further improved by applying another coating comprising particles having ESDs less than about 4 micrometers.

A system that incorporates teachings of the present disclosure may include, for example, a process that obtains seed information including privacy profile settings of on-line social network users. The seed information is compared to a random population of on-line social network users and a sampling size of a total population is reduced according to the comparison. The reduced sampling is compared to one of a social graph, a generalized profile of an on-line user, or a combination thereof. The social graph is determined from a randomized-walk algorithm applied to an on-line social network of the users and an outlier is identified in the reduced sampling based on relationships between the on-line social network users. Additional embodiments are disclosed.

In a method of operating a data network comprising a plurality of interconnected nodes (30) each of which is operable to perform one or more services upon receiving a suitable request for a service, one or more user devices (10) connected to the network can issue requests (12, 14) for a service to be carried out by a node or nodes within the network. The method comprises: operating a virtual mechanism (50) in which a plurality of different types of elements (61, 65, 66, 67) are represented, each element obeying a set of rules associated with the respective type of the element, the respective set of rules specifying how the element behaves, wherein the probabilistic rules governing the creation, destruction and alteration of the elements are arranged to ensure that the total population of elements per node, and / or the total number of each type of element per node tends to remain below a certain settable threshold population whereby the mechanism can generally be operated without requiring elements to be dropped because of a lack of hardware processing resources, thereby maintaining the efficiency of the mechanism.

The invention discloses a traffic cell demographic method based on raster data and area ratio correction. The method comprises: properly adjusting a rectangle containing a traffic cell boundary; accurately determining a rectangular region grid data set completely containing a traffic cell range in the integral grid data set; representing a grid by replacing points with a square buffer area, correcting the population elevation value of the grid through the ratio of the overlapping area of the buffer area and a traffic cell to the area of the buffer area, performing accumulation on the population elevation value, and finally obtaining the total population of the traffic zone. The technology changes the statistical method of the traffic cell population, comprehensively considers the accuratepositioning of the traffic cell in a grid data set area and the correction of the grid population value by an area comparison method, and better improves the efficiency and precision of the traffic cell population statistics.

The invention discloses a reagent kit for assisting judgment of the blood vessel function of total population. The reagent kit comprises a parameter acquisition device and a readable carrier; the parameter acquisition device comprises a device acquiring various parameters involved in the readable carrier; the readable carrier records the content in the formula I and in the formula II. A suit device for assisting judgment of the blood vessel function of total population comprises a body weight measurement device, a waistline measurement device, a blood pressure measurement device and a calculating device provided with a parameter operation module. The parameter operation module can perform operation in the formula I and the in formula II. By means of the reagent kit, judgment of the risk that blood vessel function abnormity happens to total population (at the age of 30-69) can be assisted.

The invention discloses a disease prevalence measuring method based on medical insurance big data. The number of all new and old cases of a certain disease in a total population within a certain timeperiod is used as a numerator for calculating the prevalence. The total population in a certain time period is used as a denominator for calculating the prevalence. A number of key parameters of monthly medical insurance data are summarized, including the total number of insured individuals per month, the number of new insured individuals per month, the total number of monthly medical records, andthe total number of diagnosis depletion of monthly medical records. The information of the numerator and denominator for prevalence calculating is acquired, and then the prevalence is calculated. According to the invention, the method is based on medical insurance big data, is simple, fast and effective, can replace the existing epidemiological population survey which consumes labor, money and materials, transforms a prevalence calculation policy based on panel data, optimizes the efficiency of data storage and operation, reduces the risk of privacy leakage and a data sharing threshold, and promotes the transformation application of medical insurance big data.