1473 results about "Ambient data" patented technology

The invention discloses an intelligent network-connected automobile operation system based on vehicle-road collaboration. The intelligent networked automobile operation system comprises a high-precision map platform, a cloud control platform, a vehicle-mounted terminal platform, a vehicle-mounted computing platform and an information security platform. The high-precision map platform provides a real-time dynamic high-precision map; the cloud control platform and the vehicle-mounted terminal platform are subjected to cooperative management and control through a communication network; the cloudcontrol platform executes data storage, cloud computing and standardized data interconnection; the vehicle-mounted terminal platform executes information reporting; wherein the vehicle-mounted computing platform is connected with the vehicle-mounted terminal platform through the vehicle-mounted Ethernet, over-the-horizon perception data, map data, environment data and the like are obtained, a vehicle driving scheme is formulated through fusion calculation, and the cloud control platform, the vehicle-mounted terminal platform, the vehicle-mounted computing platform and the map platform are allprovided with safety monitors. Common basic services are provided for operation of the intelligent network connection automobile, and national and industrial development requirements are met.

The present invention provides a decision management system to define, validate and extract data for predictive models. A system of sensors is deployed in a sample collection environment, where such sensors are used to collect data from a biological or chemical sample, with additional sensors for ambient data whose output as a form of metadata can characterize performance conditions including background ambient conditions. A format or sequence of processes is the basis for a math model to establish a logical weight to data for predictive modeling and event reporting. The present invention provides a computer or other sensor interface system with a primary sensor or sensors, network connection, and supplementary sensors to measure the conditions in which the primary data is captured. A software process allows for user inputs of data in order to establish the methods and rules for normal function.

The present invention extends to methods, systems, and computer program products for accessing network resources outside a security boundary. The present invention can provide a modules running within a security boundary (e.g., sandboxed client-side scripts) access to network resources at computer systems other than the computer system where the module originated. When network access is permitted, the properties of network request can be adjusted so that security information of the client system and the originating computer system for the module are not divulged. Thus, a module can obtain content for inclusion in a Web page from third party servers in a more secure meaner. Network e access decisions can be made based on ambient data already accessible to a host environment such that network access decisions can be made in a more automated manner.

The present invention provides a system, method and apparatus to assist a user navigate from a current location to a second location within an environment by determining a distance traveled by the user or from the user to one or more objects. The current location is then identified using the distance and an environment data. Thereafter, a route to the second location is determined based on the current location and the environment data, and a directional cue is provided to the user based on the route. Note that the present invention can be implemented as a computer program embodied on a computer readable medium wherein the steps are performed by one or more code segments.

The invention discloses an active interaction implementing device, an active interaction implementing method and intelligent voice interaction equipment. The active interaction implementing device comprises a data acquisition module, an identity and emotion recognizing module and a big data engine module, wherein the data acquisition module is used for acquiring recognized user identity and emotion data, environment data and work data of the intelligent voice interaction equipment; the identity and emotion recognizing module is used for recognizing user identity and emotions and acquiring user identity and emotion recognizing results; the big data engine module is used for acquiring state information of a user, the intelligent voice interaction equipment and an environment according to the acquired and recognized data, inputting the state information into a pre-established user behavioral habit model matched with the recognized user identity so as to prejudge states and/or behaviors of the user, and providing the user with services matched with prejudging results actively according to the prejudging results. The active interaction implementing device, the active interaction implementing method and the intelligent voice interaction equipment have the advantages that content services and/or equipment control services can be provided for the user actively according to needs, and an interaction process between the equipment and the user is more intelligent and more humanized.

A technique for simulating natural behaviors of moving objects is provided. A road traffic simulation apparatus includes a simulation unit for performing a traffic simulation, a display unit for displaying a progress status of the traffic simulation and a control unit for controlling the simulation unit. The simulation unit has a traffic environment database and a moving object model. The moving object model has a driver model in which a driving operation of a driver is modeled and a vehicle dynamics model in which a vehicle behavior is modeled. The driver model performs different processes in parallel in respective different cycles. The results of each cycle process are integrated and output to the vehicle dynamics model.

An MPF (Multi Function Peripheral) obtains a BD address and a device name from a communication partner search response when it receives the communication partner search response from a cellular phone. When the MFP successfully obtains the BD address and the BD address is stored in a device management database in a RAM of the MFP, the MFP obtains a user name corresponding to the BD address from the device management database. The MFP obtains settings associated with the user name from an environment database in the RAM of the MFP and stores the same in an environment storage area in the RAM. A display process, etc. in the MFP are performed according to the settings stored in the environment storage area.

Embodiments of the invention provide a crop planting management system and method based on cloud services. The system comprises an information acquisition subsystem used for acquiring growth process data of target crops and environment data of a target crop planting area in real time, a data analysis service subsystem used for storing and processing the data acquired by the information acquisitionsubsystem and building a planting management decision model of the target crops based on deep learning, a visual subsystem used for performing growth period recognition, disease and pest recognition,growth vigor recognition, intrusion recognition and yield prediction on the target crops, a management service decision subsystem used for realizing seeding control, fertilization control, irrigationcontrol, environment control, production archive management, disease and pest control, intelligent equipment patrol and early warning, and a display pushing subsystem used for sending a decision result to an intelligent equipment terminal and a user terminal for displaying. The crop planting management system and method based on cloud services can be used for realizing intelligent, scientific andunmanned agricultural planting management.

The invention relates to the technical field of indoor environment regulation, and provides an automatic control method of the indoor environment comfort level. According to the method, a three-layer BP (back-propagation) neural network is selected as a model. The method comprises the following steps of: 1), collecting the current actual environment data as sample data; 2), building the model by the sample data based on the three-layer feed-forward BP neural network; 3), setting an optimal value and a range of an SET* index by using model-based prediction and control; 4), controlling an air-conditioning system, combining with the optical value and the range of the SET* index to process the current data collected in real time, and generating a signal for controlling the air-conditioning system, so as to realize real-time control of an environment control device. According to the automatic control method, the defect of complicated iterative operation in the traditional model is overcome; the convergence rate is increased by an improved L-M algorithm, and the prediction mode has high validity and small error.

The invention discloses an aviation direct-current converter online fault combined prediction method based on fractional order wavelet transformation. The method includes: (1) monitoring and collecting output voltage signals of the aviation direct-current converter in real time, calculating output voltage change rate of different moments, and using the output voltage change rate as converter performance degradation parameters; (2) conducting abnormal value rejection and missing data filling on performance degradation data by using a 3 sigma method and an interpolation method; (3) conducting fractional order wavelet transformation on the performance degradation data, the performance degradation data is decomposed into subcomponents with different scales, and determining noise components and removing the noise components by calculating a combination entropy between high-frequency components and environment data; (4) building a predication model of the high-frequency components in decomposition data by using a wavelet neural network, building a prediction model of low-frequency components by using a gray neural network, and conducting time sequence prediction; and (5) stacking predication values of the high-frequency components and the lower-frequency components to obtain a final predication value, conducting performance evaluation and fault predication on the aviation direct-current converter by combining fault threshold values. The aviation direct-current converter online fault combined prediction method removes disturbances caused by environment factor fluctuation in performance degradation data, restores real performance degradation data, simultaneously decomposes the performance degradation data into different frequency subcomponents with strong regularity, predicts the subcomponents by using a combined prediction model, enables prediction risks to be dispersed, and improves online fault prediction correctness.

An entertainment device includes a display generator arranged to generate for display a representation of an online virtual environment, and to generate for display within said representation of the online virtual environment at least one avatars corresponding to users of at least one remote entertainment devices interacting with the online virtual environment. A data communications arrangement is operable to receive respective configuration data for at least one of the avatars that determines their appearance, and is operable to receive data identifying purchasable items visibly associated with a respective avatar; a query arrangement operable to initiate a query of an avatar and to identify to a user of the entertainment device purchasable items visibly associated with the avatar; and in which the data communications arrangement is operable to transmit a purchase initiation request identifying an item for purchase, selected in response to a purchasable item visibly associated with the queried avatar.

The invention discloses a virtual test system and test method for ship performance, and belongs to the technical field of ship performance tests. The virtual test system comprises a storing device, a tool device, a testing device and an operating platform, wherein the storing device and the tool device are positioned at the bottom layer, the test device is positioned at a supporting layer, and the operating platform is positioned at an application layer; and the test method comprises the following steps: the operating platform builds the sailing data model of a boat sailing in the waves and the environment data model of the sailing environment of the boat respectively according to the testing result of the test device, and builds the conceptual data model of a boat in actual sailing by combining the two simulation models. The technical scheme provided by the invention is that the building of the navigation performance virtual testing system truly reflects man-machine interaction when a ship sails, the testing level is improved, the testing period is shortened, the testing cost is lowered, the accuracy and instantaneity of the motion simulation are ensured, and the fidelity of the virtual testing is further improved..