39 results about "Situation model" patented technology

A method for computationally predicting future movement behaviors of at least one target object can have the steps of

• • producing sensor data by at least one sensor physically sensing the environment of a host vehicle, and
  • computing a plurality of movement behavior alternatives of a target object sensed by the sensor(s).

The context based prediction step uses a set of classifiers, each classifier estimating a probability that said sensed target object will execute a movement behavior at a time. The method can also include validating the movement behavior alternatives by a physical prediction comparing measured points with trajectories of situation models and determining at least one trajectory indicating at least one possible behavior of the traffic participant, estimating at least one future position of the traffic participant based on the at least one trajectory, and

• • outputting a signal representing the estimate future position.

A method predicts trajectories of traffic objects to avoid collisions. The method estimates the probability for at least two traffic objects to collide, and predicts a potential movement of the traffic objects presumably involved in the collision after the collision. This information about a potential movement of the traffic objects can be used to plan a suitable trajectory path of an evasion manoeuvre for a host-vehicle employing the method. A system detects the collision situation and applies crash situation models to predict the future dynamic properties of other traffic objects that collide or are about to collide with each other. The method and system applies specific crash models like collision models, models derived from crash simulations and tests or models of human reactions in emergency situations.

The invention regards a method for assisting a driver of a vehicle by computationally predicting a future movement behaviour of a target vehicle. The method comprises steps of acquiring data describing a traffic environment of a host vehicle, computing a plurality of future movement behaviour alternatives for a target vehicle, by predicting movement behaviour of the target vehicle based on the data describing the traffic environment. The prediction step calculates a probability that the target object will execute a movement behaviour and information relating to future behaviour of the target vehicle is output. The method estimates a global scene context and adapts the predicted behaviour based on the estimated global scene context. The adaptation of the behaviour prediction is performed by at least one of adapting indicator values in situation models employed by a context-based prediction, by adapting a result of the context-based prediction and adapting the overall prediction result.

The invention discloses a personalized information recommending system. The system comprises a geographical location information acquisition device, a transaction database server, an analysis server, a recommending server, a user client and a merchant client, wherein the input end of the analysis server is respectively connected with the geographical location information acquisition device and the transaction database server; the input end of the recommending server is connected with the output end of the analysis server; the user client is in two-way connection with the recommending server; the merchant client is in two-way connection with the recommending server. Through the system, clustering analysis can be performed on transaction data of a user based on the geographical location information technology, and situation model analysis can be performed according to the geographical location of the user, the clustering analysis result and the situation analysis result are combined so that more effective personalized recommending can be performed, and a basis is provided for accurate marketing of a merchant.

The invention provides a logistic regression analysis system based on protection of vertically distributed private data. The system comprises a private data processing module, a data mining study module and an analytical application module, wherein the private data processing module uses a linear kernel function to obtain kernel training sets of the private data of each vertical distribution mechanism; the data mining study module firstly accumulates each local kernel training set to obtain a total kernel training set, and then performs logistic regression study to the total kernel training set, and the obtained overall situation model vector is used to perform judgment and analysis in the analytical application model finally. The system of the invention ensures the safety of vertically distributed original private data while providing data sharing and mining. The special method of calculating overall situation model vector also improves the studying and solving efficiency. By using a radiation distributed structure of server-client, the system of the invention has excellent practicability and expansibility.

The invention provides a real-time situation model and visual fusion decision method which is applicable to rescue for leakage accidents of hazardous chemical substances. The method comprises the following steps: field environment data of a hazardous chemical substance accident is collected, fluidized and sent to a command center; the command center de-fluidizes the received data to restore the field environment data; the leakage rate of source intensity is calculated; a real-time situation is simulated according to the leakage rate of source intensity, the field environment data and accident terrain data; concentration points of grid computing are used to carry out triangulation difference calculation on the result of situation simulation, the spread movement track of different dangerous areas is rendered according to color gradient, and the maximum accident influence scope is predicted; and the population density in the maximum accident influence scope is calculated, and an optimal rescue evacuation path is evaluated out. The disadvantages of a static data model and the real-time transmission problem caused by shortage of bandwidth resources are overcome, and the accuracy, effectiveness and level of intelligence of emergency rescue are improved effectively.

The method is applied to the field of urban planning management. The invention relates to a BIM and 3D GIS fusion method for planning management characterized by comprising the following steps of: firstly, constructing a semantic knowledge base so as to quickly extract BIM data of a construction engineering design scheme and implant the BIM data into current situation three-dimensional geographicinformation data under a semantic retrieval condition; adopting each building component monomer in the three-dimensional layer as an independent control object, calculating the implantation range of the current situation model of the corresponding area in the scheme by utilizing an existing space analysis algorithm according to the area block range where the BIM scheme is located, building the current situation model of the area by automatically hiding the scheme, and implanting BIM data into the current situation GIS data. The method is oriented to the service requirements of urban planning management, and is a set of efficient and complete BIM and GIS fusion technology method.

The invention discloses a method of a network community user push-service based on a user situation body. The method can establish a body user situation model, update and synthesize information of a user comprehensive situation and push service to a user according to matching degree of the active user comprehensive situation. The method of the network community user push-service based on the user situation body includes the steps of establishing the body user situation model, updating and synthesizing the information of the user comprehensive situation, matching of situation similarity and pushing the application service. According to the method of the network community user push-service based on the user situation body, the body user situation model is established to describe characteristic information relative to activities of the user, interests of the network community user can be known better, a user application service can be pushed to the relative user by the updating and synthesizing the information of the user comprehensive situation and the matching of situation similarity. The method of the network community user push-service based on the user situation body can be applied to an existing network community personalized information service.

The invention discloses a generation method a three-dimensional land utilization present situation data model. According to the invention, the data model takes land type pattern spots as organization units; a surface model is used for simulating a three-dimensional terrain surface; by using DEM data and two-dimensional land utilization present situation data and taking the land type pattern spots as units, simple DEM data points in the land type pattern spots are extracted; feature points of boundary features of the land type pattern spots are extracted, kept and allowed to be three-dimensional via the DEM data interpolation algorithm; and at last, a three-dimensional surface model is constructed under restraints of the two-dimensional boundaries of the land type pattern spots and two-dimensional land utilization present situation land type pattern spot data is transverse, thereby finishing construction of the whole three-dimensional land utilization present situation model. According to the invention, three-dimensional land utilization present situation data can be quickly generated and the generation method provides strong data supports for compensation of land acquisition and targeted planning.

The invention relates to a method for obtaining flight execution rate and a device thereof, wherein, the method for obtaining the flight execution rate comprises: reading flight service data; establishing a flight operation situation model of a single-trip flight segment, using the flight operation situation model of the single-trip flight segment to split the flight service data; marking the split data; obtaining the flight execution rate of the single-trip flight segment according to marked data The method for obtaining flight execution rate and the device thereof establish the flight operation situation model of the single-trip flight segment, split the read flight service data by employing the flight operation situation model of the single-trip flight segment, mark the split data and accurately obtain the flight execution rate of the single-trip flight segment according to marked data, thus improving accuracy of the statistic of the flight execution rate.

The current invention promotes accountability in reading, in terms of spatial, causal, temporal, protagonist, and intentionality elements of a story. A book with interactive maps was developed to emphasize the spatial and other dimensions of stories and encourage more spatial mental models, and generally more accurate situation models of the story. The interactive maps were printed on microdot paper and interspersed throughout the book, sometimes with successful completion of the activities required to obtain the page number of the next section of the book, which had been reordered in a non-sequential manner. Wireless electronic pens with cameras track X-Y location information from the microdot paper. Auditory feedback may be provided through a secondary device, like a personal computer, or directly using the electronic pen. The interactive book was tested on a group of sixth-grade students and found to reinforce spatial accountability.

The present invention discloses a method and a device for analysis and prediction of region economy development form based on remote sensing data, belonging to the technical field of remote sensing technology application. The device comprises: a data input and output module configured to input and output remote sensing data in a grid format and regional macro economy data in a text format; a regional urban built-up area information extraction module configured to extract the regional urban built-up area range in each year and perform statistics of the areas; a regional economy development situation module configured to fit a regional economy development situation model according to the regional urban built-up areas and the regional macro economy data in the corresponding year; and a regional economy development situation prediction module configured to perform extension prediction of the urban built-up areas and prediction of the regional economy development situation according to theconstructed regional economy development situation model. The method and the device effectively overcome the defects that traditional economic survey data is slow in speed, long in period and bad in accuracy, can really reflect the regional economy development situation and facilitate optimization of resource configuration.

The invention relates to an audio video system and a control method thereof. The audio video system is suitable for being set into one of multiple situation models and controlling one of multiple ambient light sources. The audio video system comprises a storage unit, a signal transmitting and receiving unit and a control module. The storage unit is internally stored with multiple brightness set values, and the brightness set values are respectively corresponding to the situation models and/or multiple specification data, wherein the multiple specification data are respectively contained in multiple ambient light sources; the signal transmitting and receiving unit is used for receiving one specification data of one ambient light source; and the control module is electrically coupled with the signal transmitting and receiving unit and controls the signal transmitting and receiving unit to transmit corresponding brightness set values in the storage unit to the ambient light sources according to the set situation model and the received specification data.

The invention discloses an electromagnetic situation mixed rendering method based on deferring and volume particles, and the technical problem of poor timeliness in the conventional mixed rendering method is solved. According to the technical scheme, the method includes: building a spatial electromagnetic situation model, and obtaining electromagnetic situation three-dimensional volume data; simultaneously drawing a viewpoint model and an illumination model by employing a texture mapping volume rendering algorithm based on the semi-angle slice; realizing volume particle rendering by the combination of a particle system and the texture mapping volume rendering algorithm based on the semi-angle slice; and finally, by employing the combination of deferred rendering pipelines and volume particle rendering pipelines, mapping the electromagnetic situation volume data to a volume particle system, and realizing real-time mixed rendering of three-dimensional scenes and the electromagnetic situation volume data. According to the method, the effect of the sense of reality of volume rendering is improved by employing the texture mapping volume rendering algorithm based on the semi-angle slice; and volume particle rendering is realized with the combination of the particle system and the texture mapping volume rendering algorithm based on the semi-angle slice, and the rendering effect and performance of the particle system are greatly enhanced.

The invention relates to a projection technology capable of automatically adjusting a visual angle. The projection technology comprises the following steps: performing face recognition by adopting aninfrared camera; presetting visual angle adjustment sensitivity according to the characteristic of each person, classifying objects in a video content, and performing labeling according to frames; acquiring objects followed by a user, and performing supervised deep learning according to personal participated watching experience evaluation to form an artificial intelligent model. The projection technology disclosed by the invention has the following beneficial effects that a video is displayed in front of the user at the most comfortable posture angle of the user, and the visual angle is adjusted according to the most adaptive sensitivity of the user; a user feature and situation model is built from the most appropriate visual angle of the user; a model where the user corresponds to a crowdportrait is built, and an overall crowd corresponding portrait model in an algorithm library is optimized so as to be used as a selection for a corresponding crowd initializing model.

According to the invention, refined and refined course resources can be provided, learning requirements can be automatically recognized according to feature information of learners, personalized learning activity sequences are dynamically and adaptively presented, accurate pushing of implementation content is achieved. The invention discloses an online vocational education personalized course content pushing algorithm based on big data, which can improve the learning efficiency of students and saves the learning time. The online vocational education personalized course content pushing algorithm comprises the following steps: on the basis of personalized learning of students receiving vocational education, constructing a vocational education personalized teaching service system framework byfour parts of a learning situation model, a professional model, a self-adaptive engine and a presentation model; adaptively recommending learning contents, learning activity sequences and knowledge tree structure learning navigation suitable for learners according to the learning situation model and the professional model, and presenting the learning contents, the learning activity sequences andthe knowledge tree structure learning navigation in a page; and meanwhile, modifying the learning behavior historical record of the learner, so that the learning situation model is maintained, and theaccuracy of the learning situation model is improved.

The invention discloses a network search method based on a semantic web technology, and belongs to the technical field of design and development of local area network search engines. The network search method based on the semantic web technology comprises the specific steps that 1, a user situation model is constructed; 2, the situation model and a search engine are integrated; 3, the similarity of keyword vectors and concept keyword vectors is calculated; 4, target concepts are matched to obtain a target concept set; 5, the frequency of candidate keywords is limited; and 6, the target concepts are clustered. According to the network search method, by integrating the user situation model with the search engine, user situation information analysis and utilization in an information searching service are greatly enhanced; and by adopting the semantic web technology, a computer and human can well cooperate to complete work, and the structure and the characteristic of the user situation information are described in a formalized mode to be transformed into the form that the computer can understand and used by the search engine.

The invention relates to a large-area power failure accident emergency repair scheme configuration method and device based on situation analysis. The method comprises the steps of obtaining power failure accident information; wherein the power failure accident information comprises power failure accident type information and accident handling capacity information corresponding to the power failureaccident type information; calculating situation distribution data of the accident handling capacity of each first-aid repair execution department in the power failure accident according to the powerfailure accident type information, the accident handling capacity information and a pre-established execution capacity situation model; wherein the execution capability situation model is used for recording a situation change calculation mode of the accident handling capability of the first-aid repair execution department in the power failure accident first-aid repair process; and configuring a first-aid repair scheme according to each piece of situation distribution data. By adopting the method, the emergency repair efficiency of large-area power failure accidents can be improved.

The invention discloses a learning scheme planning method based on machine learning, and the method comprises the steps: data collection, data analysis, learning scheme planning, execution condition feedback, learning by a student according to a planned task, and collection of the completion condition of the student, wherein the completion conditions of the students include the total task time consumption, the completion rate, the completion quality, the preference of task completion and the progress statistics of the academic achievements of all subjects. According to the scheme, the learningtask is formulated according to the detected current learning situation model and the learning scheme set in the database and pushed to the student, and the learning schemes formulated by different current learning situation models are different and more targeted; according to the completion condition of the student, the completion condition is fed back to a database for optimization, and then alearning scheme more suitable for the student is given; feedback and optimization are continuously and circularly carried out to form a virtuous cycle, the longer the same student uses the method, themore fitting the learning rule of the student is, the higher the efficiency is, and the higher the individuation degree is.

The invention discloses city block green space planning method and system based on ENVI-met. The system and method can realize city block green space planning reasonably, and the purpose of retarding a source of a city block heat island effect is achieved. The method comprises the following steps: S1) constructing a block planning reference model of a preset block in the ENVI-met, running the ENVI-met to obtain thermal environment data simulation result of the block; S2) changing a green space structure of the reference model to obtain a situation model, and running the ENVI-met to obtain thermal environment data simulation result of the block; S3) determining an optimal heat island slowing green space planning scheme of the block according to the thermal environment data simulation result of the block, wherein the thermal environment data simulation result comprises a temperature simulation result; and S4) carrying out green space planning on the block according to the optimal heat island slowing green space planning scheme.

The embodiment of the invention discloses a granary intelligent management method based on a situation model and a granary intelligent management system based on the situation model. The method comprises the steps that situation attribute information required for granary management is acquired, the corresponding granary situation model of the granary is selected and determined in the preset granary situation model base according to the situation attribute information, then matching analysis is performed on the situation attribute information and the management rule set of the granary situationmodel in the preset rule base and the current scene type of the granary is determined according to the result of matching analysis and the management strategy of the granary under the current scene is acquired, and finally the management operation of the granary is automatically controlled according to the management strategy. The real situation of the granary can be more accurately expressed andmore comprehensively considered based on the granary situation model, and integration and automation of the granary management strategy and the management operation can be realized so that the granary management efficiency can be greatly enhanced.

A method and a sub-system, henceforth called method DKA, for the determination and control of the activities of an emotional system aS, belonging to the class of autonomous, motivated agents and robots, is described. The method DKA determines the current motivation of the system aS to carry out an activity. Said motivation is determined by stimulus patterns in situation models and the intensities of the satisfactions and the desires with regard to the needs of the system aS. Priorities for the activities of the aS are determined by motivations. DKA controls sub-activities which, at the request of the system aS, are carried out by other agents/robots. The method DKA can assess which objects, situations and activities are presently good and which are bad for the system aS. The applied internal representation of the world of the system aS can include very abstract situation models. Emotional systems, controlled by the method DKA, are particularly suitable: for the care of the sick, as robotic servants for carrying out domestic tasks and for routine client services.