359 results about "Population density" patented technology

A decentralized asynchronous wireless communication system is disclosed for providing voice and data communication that allows flexibility of communication paths for local communication or for communication to external networks. The system makes use of communication docking bays that may communicate in a local mode with other communication docking bays or handsets within a same microcell via signal extenders. In an extended mode, a communication docking bay located in a first microcell of a first macrocell may communicate with a second communication docking bay or handset in a second microcell of the first macrocell via signal extenders and a network extender. In a remote mode, a communication docking bay located in a first microcell of a first macrocell may communicate with a second communication docking bay or handset in a second microcell of a second macrocell via signal extenders and network extenders. The communication docking bays also provide a communication path to a Public Switch Telephone Network and other communication medium. This feature provides an alternate means of connecting a mobile handset to a Public Switch Telephone Network without communicating through a network extender. The system is particularly suitable for operation in rural areas having a low population density.

A decentralized asynchronous wireless communication system is disclosed for providing the remote location retrieval of voice and data communication and allowing for flexibility of communication paths for local communication or for communication to external networks. The system makes use of external data communications modules that may communicate in a local mode, an extended mode, or a distant mode. The external data communications modules may also provide a communication path to a Public Switch Telephone Network and other communication medium. The entire system is monitored by a network of personal computers comprising an Artificial Intelligence (AI) Network to manage any catastrophic system failure. The entire system is suitable for operation in rural areas having a low population density and urban areas where hours of peak call loading could otherwise be detrimental to call completions.

The invention discloses a method utilizing the multi-scale multi-task convolutional neural network for population counting of stationary images. According to the method, firstly, an inverse Gaussian density map is combined with an original Gaussian density map to form a combined density map; secondly, non-overlapping sampling of an input image is carried out to acquire several image sub-blocks, and the network is trained based on the image sub-blocks and corresponding true combined density maps thereof; overlapping sampling of the input image is carried out in the same pace, combined density maps of each image sub-block predicted by the MMCNN are superposed to reconstruct the combined density map of a complete crowd image, and population counting is realized. For the problem of populationscale difference, learning characteristics of different scale networks are measured through a fractional loss function, moreover, the population combined density map, the density level and foreground/background classification are simultaneously predicted in a multi-task mode, estimation accuracy of the combined density map is improved, and thereby an uneven population density problem is ameliorated.

The invention relates to a method and a system for estimating population density in urban built-up areas coordinated by spatial big data. The method comprises the following steps: obtaining a buildingrange based on an object-oriented classification method by utilizing high-resolution optical remote sensing data; dividing urban blocks through a spatial topology algorithm by utilizing spatial big data of an urban fine road network, and dividing the urban blocks into residential areas and non-residential areas by combination with spatial big data of points of interest; obtaining building heightby utilizing remote sensing optical three-dimensional imaging data; constructing a population density estimation model by utilizing a multiple regression analysis method according to the building height and the building range and by combination with population statistical data; and inputting the building range and the building height as input variables into the population density estimation model,performing calculation to obtain population density, and then, assigning the population density to regular grid space corresponding to urban built-up areas by utilizing a spatial statistical analysismethod. The method and the system can precisely and accurately realize estimation of the population density in the built-up urban areas, are more suitable for requirements of urban planning, disasterprevention and reduction and business decision for fine population data, and are beneficial to further popularization and application.

The invention provides a method of predicting and accessing level of a wildfire-caused trip risk in power transmission lines. Based on the power transmission line corridor fire risk level as an indicator and factors such as daily precipitation, temperature, wind speed, relative humidity, slope, sloping direction, road network density, population density, conventional solar terms and vegetation water content, influence factors to the wildfire occurrence risk are quantitatively assessed so as to establish a wildfire risk assessment model. During occurrence of a wildfire, based on the line trip risk level as an indicator and flame height bridge ratio, vegetation variety and vegetation distribution, the influence factors to the power transmission line trip risk level is quantitatively assessed in the case of the wildfire so as to establish a line trip assessment model. The method is applied to predicting and accessing the level of the wildfire-caused trip risk in the power transmission lines by integrating the two models. The method according to the technical scheme has the advantages that the trip risk in the power transmission lines can be subjectively predicted and assessed on the basis of real-time data, targeted preventive measures are taken in advance, wildfire-caused trip accidents of the power transmission lines are maximally decreased, and the method is significant to the improvement of safety and running reliability of the power transmission lines.

A method of paging a mobile terminal in a radio access network wherein the last known location of a mobile terminal is stored. A location message (also called a Route Update message) is sent from a terminal and received at a sector in the network, identifying the location of the terminal. The network determines a paging zone for that terminal based on configuration information for that sector. The configuration information for each sector typically includes a Route Update radius, and then one or both of a paging zone radius offset, and statically configured sectors. When the terminal needs to be paged, the network then broadcasts a page to the terminal in each sector in the paging zone. Such a system adjusts the paging zone to include sectors which the terminal has a reasonable likelihood of moving to before the network learns that the terminal has moved out of the previously established paging zone. Aspects of the invention provide two complementary methods of adjusting the paging zone: adjusting using a paging zone offset, and adjusting based on a sector list. The paging zone offset adjusts the radius of the paging zone, thereby maintaining a generally circular shape. The sector list adjusts the generally circular paging zone by adding or deleting any sector in any direction, thereby allowing any arbitrary shape to be used for the paging zone. The adjustments to the paging zone achieved by these methods account for such factors as RF coverage, geographic features, congestion, population density and expected rate of movement of terminals between sectors.

The invention provides a method for grading flood risk according to a plurality of space scales. Under each space scale, the method comprises the following steps of: S1, calculating a flood risk index by taking a precipitation amount index, a river-lake index and a terrain index as risk evaluating factors of flood; S2, calculating a vulnerability index after calculating vulnerability evaluating factors of the flood by taking a population density index and an economic GDP (Gross Domestic Product) density index as evaluating factors; and S3, generating a flood risk index by synthesizing the risk index and the vulnerability index, and further grading the flood risk index to generate a flood risk level. The method is implemented in a sequence from larger space scales to smaller space scales. Due to the adoption of the method for grading the flood risk, areas with social and economic damages possibly caused by flood disaster phenomena and risk levels can be analyzed on different space scales, and the monitoring frequency of highly-risky areas is increased.

The invention discloses a safety assessment system for a river water environment of a plain river network, and belongs to the field of water environment safety assessment. By taking a DPSIR model as a theoretical basis, water environment safety assessment indexes are divided into five aspects of social and economic driving force, a pollution source and water resource development pressure, a water environment health present condition, a river service function and an environment supervision capability, and twenty assessment indexes including permanent population density, GDP per capita, a building land use proportion and the like are established. The water environment safety assessment process comprises the specific steps of obtaining a survey value for assessing an index of each layer of a river; determining an assessment standard value of the index; performing standardization processing of the survey value of the index; calculating an index score of a river water environment safety assessment index layer; calculating an index score of a river water environment safety assessment criterion layer; and calculating and assessing a river water environment safety index. According to the system, a scientific assessment method is established for the plain river network, and the water environment safety condition and problem of the plain river network can be quickly and effectively identified.

Areal population density and detailed behavior of fish schools and their interaction are continuously monitored over continental-shelf-scale areas spanning thousands of square kilometers by ocean acoustic-waveguide remote sensing. In some embodiments, the capacity of certain geophysical environments, such as contininental shelves, islands, etc. to behave as acoustic waveguides is utilized; sound propagates over long ranges via trapped modes that suffer only cylindrical spreading loss, rather than the spherical loss suffered in conventional sonar approaches.

The invention provides a ground settlement risk grade evaluation method based on a cloud model and a data field. According to the method, a PS point is optimized through a cloud model algorithm; then, the data field is used for carrying out automatic clustering on the settlement speed, the population density and the economic density; the obtained settlement speed classification grade, the population density lattice grade or the economic density lattice grade are overlapped; and a ground settlement risk grading chart is generated. The evaluation method adopted by the invention considers the uncertainty of ground settlement risks and the relevance among the ground settlement risks; the influence on the ground settlement by factors such as hazard factor risks, hazard-affected body vulnerability and hazard-formative environment is integrated; the evaluation method is more scientific, reliable and accurate; and a reliable basis is provided for the ground settlement risk grading.

The invention relates to a monochamus alternatus imago attractant which belongs to the technical field of pest control. The monochamus alternatus imago attractant contains the following components according to volume percent: 60-80 percent of turpentine oil, 16-24 percent of ethanol, 2-10 percent of phenethyl alcohol and 2-6 percent of terpilenol. The monochamus alternatus imago attractant contains the following ingredients according to volume percent: 24.64-32.86 percent of Alpha-pinene, 22.91-30.55 percent of Beta-pinene, 6.51-8.68 percent of 3-carene, 2.97-3.96 percent of Beta-phellandrene, 0.74-0.99 percent of terpinolene, 0.62-0.83 percent of laurene, 1.60-2.13 percent of others, 16-24 percent of ethanol, 2-10 percent of phenethyl alcohol and 2-6 percent of terpilenol. The monochamus alternatus imago attractant has remarkable attracting effect to both monochamus alternatus female worms and male worms, and stronger attracting effect to the male worms; and also has certain attracting effect to other coleopteran forestry pests. The invention has the advantages of high efficiency, environmental protection, simple and convenient preparation, low cost and good durability, can be used for prediction and control in monochamus alternatus forest with the control effect up to 53.59-67.30 percent and can effectively control the population density in the monochamus alternatus forest and restrains the spread and the extension of pine wood nematode disease.

The population density for a geographic area is predicted using a Markov Random Field (MRF) model. A MRF model is defined for estimating a number of mobile devices being used within a geographic area. The MRF model includes a set of rules describing how to use current data describing mobile devices currently observed in the area, and historical data describing mobile devices historically observed in the area to produce the estimate. Values of weight parameters in the MRF model are learned using the historical data. The current and historical data are applied to the MRF model having the learned weight parameters, and cost minimization is used to estimate of the number of mobile devices currently being used within the area. This estimate is used to predict the population density for the area. The predicted population density can then be used to provide location-based services.

The present embodiments provide an endoluminal prosthesis, such as a stent-graft, having a relatively low delivery profile. In one embodiment, the prosthesis comprises a membrane, and at least one stent having contracted and expanded states, where the stent is coupled to the membrane and maintains patency in the expanded state. The prosthesis further may comprise selectively oriented axial and/or circumferential fibers arranged at predetermined locations along the length and circumference of the prosthesis. An increased population density of the circumferential and/or axial fibers may be provided in areas in which the at least one stent portion is attached to the membrane, or in areas of higher physiological loads imposed upon the endoluminal prosthesis. Selectively orienting axial fibers and circumferential fibers at predetermined locations along the length and circumference of the prosthesis, but not continuously along the entire prosthesis, significantly reduces delivery profile due to the reduction in graft material.

The invention discloses an adult monochamus alternatus hope attractant, which belongs to the technical field of prevention and control of pests. The attractant is characterized by comprising 95 percent alpha-pinene and 40 percent aldehyde in the volume ratio of (1-5):1. In the adult monochamus alternatus hope attractant, the 95 percent alpha-pinene serving as an active ingredient and the 40 percent aldehyde serving as a synergistic substance are compounded, so that the attracting effect of the attractant is enhanced greatly and the trapping quantity of adult monochamus alternatus hopes in a feeding period accounts for 70 percent of the total trapping quantity; moreover, the attractant has the advantages of simple production process, low cost, environmental friendliness and the like, is safe, can effectively control the woodland population density of monochamus alternatus hopes and prevents the spreading and the transmission of pine wilt disease.

The invention discloses a method and device for determining population distribution condition and relates to the technical field of communication. According to the method and the device, the precision of a population distribution determining process can be improved. The method provided by the method comprises the steps of obtaining communication base station working parameter data, terminal signals and user plane data, wherein the user plane data at least is used for expressing current location information of terminals; establishing grid graphs corresponding to various systems of networks according to the communication base station working parameter data; determining population density in each grid of the grid graphs according to the terminal signals, wherein the population density of each grid is a ratio of the number of the terminals in each grid and the area of each grid; superposing and segmenting the grid graphs corresponding to the various systems of networks, thereby obtaining a total grid graph; and coupling the current location information of the terminals obtained from the user plane data with the total grid graph, thereby obtaining the final population density of each grid in the total grid graph. The method and the device are applicable to a process of determining population distribution condition.

The invention discloses a broad spectrum insect situation automatic forecasting method based on the computer vision technology. According to the method, insect images of captured target insects are obtained at regular time; an obtained current insect image and a yesterday insect image are subjected to filtering treatment so as to obtain a current insect profile diagram and a yesterday insect profile diagram; the current insect profile diagram and the yesterday insect profile diagram are subjected to subtraction treatment so as to obtain an increment diagram; an insect characteristic spectrum is established and updated as per the increment diagram; the increment count value of insect quantity of this time is computed as per the increment diagram; the area count value of insect quantity is computed as per the insect characteristic spectrum; and further, the weighted average of the increment count value of insect quantity of this time and the area count value of insect quantity is obtained, and then the total amount of insects can be obtained through calculation. The broad spectrum insect situation automatic forecasting method combines machine vision, pattern recognition and biological chemistry methods, automatically forecasts the injurious insects as needed, obtains the population density of the injurious insects in the field, and provides scientific decision bases for early warning and comprehensive control of insect damage.

The invention provides a population statistics method and device, and belongs to the technical field of monitoring systems. The population statistics method comprises the following steps that: obtaining the specific value of an area occupied by a population image in each frame of video image in preset time; the specific values of all occupied areas are equalized in the preset time to obtain population density information in the preset time; and comparing the population density information with preset population density information, and generating an alarm instruction when the population density information is greater than the preset population density information. Therefore, the obtained video image can perform a monitoring function, and the obtained video image can be processed to obtain the practical population density in the preset time so as to greatly improve the convenience and the applicability of the monitoring system.

The invention provides an anti-rice black-streaked dwarf virus field inoculation identification method for rice varieties, and belongs to the technical field of agricultural science. A piece of rice field with certain conditions is selected as an identification nursery, different rice varieties are sown in special stages, it is identified that virus transmission interbody small brown rice planthoppers in the nursery have certain virus carried rate and population density after wheat harvest, and after rice grows to a specific growth period, the anti-rice black-streaked dwarf virus level of the rice varieties is evaluated according to the severity degree of disease. With the method, anti-rice black-streaked dwarf virus identification can be performed on a large number of rice varieties at a time, and the defects that the manual identification scale in a laboratory and the identification variety number are small are overcome. The identification method can be applied to the multiple fields of screening of anti-rice black-streaked dwarf virus rice varieties, variety resistance evaluation, resistant variety breeding, researching on the law of genetics of resistance and the like.

The invention discloses a GIS (Geographic Information System)-based region-meshed spatial population density computing method. According to the method, regional distribution characteristics of natural and socio-economic factors affecting population density are taken into full consideration, a statistical model is established in a manner that a village, namely a smallest regional administrative unit, serves as a unit, a research region is subjected to 100m*100m meshing, and the village-level statistical model is inverted to all meshes so as to describe population distribution by using the mesh units. The GIS-based region-meshed spatial population density computing method disclosed by the invention has the advantage that the spatial population analysis accuracy can be better improved.

The invention provides a traffic early warning method and device of a population movement track. The traffic early warning method comprises the following steps: acquiring telecommunication data of a mobile terminal to obtain longitude and latitude data of three target base stations; calculating distances among the mobile terminal and the three target base stations, and mutual distances among the three target base stations, so as to determine a current position of the mobile terminal; and pre-estimating a future moving position of the mobile terminal according to position information records of the mobile terminal, so as to judge the population density in a monitoring region at a certain moment in the future according to the pre-estimated future moving position of the mobile terminal, and carry out traffic early warning of the population movement track of the monitoring region. According to the method provided by the invention, the cost of early warning of the population density is effectively reduced and the complexity of calculating the population density is reduced; and meanwhile, the change condition of the population density in the monitoring region is obtained according to the moving track pre-estimated by the position data of the mobile terminal, and identification and early warning services can be provided for a population traffic jam condition; and the accuracy of predicating the traffic can be effectively improved.

The invention discloses a method for automatically monitoring and reporting the insect condition of rice planthopper. The method comprises the following steps: (1) designing a wild insect automatic photographing device to acquire digital insect images of the rice planthopper in a natural state and with a white background; (2) segmenting the images to obtain the image of the back region of the insect body with integral information; (3) transforming the image of the back region of the insect body into the frequency domain by means of Flourier transformation to obtain a Flourier spectrum reflecting the color and texture features of the insect back, and extracting the two-dimensional Flourier spectrum window data to describe the features of the insect; and (4) constructing an insect classifier to respectively classify Sogatella furcifera, Nilaparvata lugens and Laodelphax striatellus into a first type, a second type and a third type, and the other insects into a fourth type, and counting the Sogatella furcifera, the Nilaparvata lugens and the Laodelphax striatellus. By utilizing the method, the population density of the rice planthopper can be substantially reflected, thereby guiding the production and experience, and improving the technical level for automatic insect monitoring and reporting in the agricultural industry.

The invention relates to a method and device for estimating the regional population density. The method comprises the steps of obtaining geographical location information of all mobile terminals within a signal coverage range of a base station; determining the number of mobile terminals in a target region according to the geographical location information of all mobile terminals; and estimating the population density of the target region according to the number of the mobile terminals in the target region, wherein the target region is located within the signal coverage range of the base station. The technical scheme provided by the embodiment of the invention does not depend on video monitoring equipment and sensors, can greatly save the population density monitoring cost and reduces the complexity of population density calculation; and population density monitoring is enabled to realize a geographical range of almost 100% and coverage almost without blind point with the aid of the universality of the communication network coverage, the number of people in crowded areas such as shopping malls, squares and tourist attractions can be effectively controlled through the monitoring forthe population density, and the safety accidents such as congestion and stampede are prevented.

The invention discloses a multi-stage serial modular domestic wastewater treatment system and a domestic wastewater treatment method, for solving the technical problem that the conventional rural domestic wastewater treatment facility is low in treatment efficiency, complex in process flow, high in operating and maintenance costs and high in management difficulty. The multi-stage serial modular domestic wastewater treatment system comprises a grating pond, a settling pond, an anaerobic pond, a facultative filter tank, a horizontal undercurrent artificial wetland, a vertical undercurrent artificial wetland and an effluent pond which are sequentially connected in series, wherein the grating pond is provided with a wastewater inlet, and the effluent pond is provided with a clean water outlet. A combined process of the multi-stage serial modular domestic wastewater treatment structure is designed and constructed, so that the wastewater treatment effect is further improved. The system and method are low in cost and convenient to construct, particularly suitable for rural areas with low population density. Compared with the conventional wastewater treatment facilities, the system and method are more economical and practical.

The invention relates to a method for artificially and massively feeding natural enemy staphylinid. The method is carried out in an environment with temperature ranging from 18 DEG C to 32 DEG C and relative humidity ranging from 65% to 95%, and tyrophagus putrescentiae and carpoglyphus lactis are used for artificially feeding massive Atheta coriaria and Oligota flavicornis. Feed base materials respectively comprises 35% -65% and 25% -50% of water. Feeding ratio between prey acarus and the natural enemy staphylinid is 50:1-1000:1. The feeding lasts for 20-50 days. When population density of the natural enemy staphylinid is higher than or equal to 400 pcs./liter, the natural enemy staphylinid can be packaged into finished products or be put into different containers for feeding. The feeding method is simple, highly effective and of low cost and can provide a wide range of natural enemy staphylinid sources for preventing and killing fungus gnat, ephydrid, frankliniella occidentalis, springtails, nematodes, tetranychus truncatus ehara and other pests for purpose of generalizing the biological prevention technologies of China, therefore, the use of chemical pesticides can be reduced, the eco-environment is improved and the international competiveness of agricultural products can be improved.