345 results about "State of the Environment" patented technology

The present invention provides a situation awareness system of a driver of a vehicle in a multi-vehicle environment, said system comprising: a. a remote central server communicatively connected to a vehicle, comprising: i. a server computer comprising a CPU, a memory, and an operating system; ii. a wireless server transceiver; iii. databases within said server computer; iv. server applications within said server computer; b. a vehicle subsystem installed in a vehicle with a driver, comprising: i. an vehicle computer having a CPU, a memory, and an operating system; ii. sensors; iii. vehicle databases; iv. a vehicle transducer to interrogate external environmental responders about the state of the environment; v. a wireless vehicle transceiver; vi. vehicle applications within said vehicle computer; vii. a situation assessment application,

A vehicle environment monitoring device identifies objects from an image taken by an infrared camera. Object extraction from images is performed in accordance with the state of the environment as determined by measurements extracted from the images as follows: N1 binarized objects are extracted from a single frame. Height of a grayscale objects corresponding to one of the binarized objects are calculated. If a ratio of the number of binarized objects C, where the absolute value of the height difference is less than the predetermined value ΔH, to the total number N1 of binarized objects, is greater than a predetermined value X1, the image frame is determined to be rainfall-affected. If the ratio is less than the predetermined value X1, the image frame is determined to be a normal frame. A warning is provided if it is determined that the object is a pedestrian and if a collision is likely.

An intelligent microsensor module (10, 100, 210, 300, 355, 410) is provided that can fuse data streams from a variety of sources and then locally determine the current state of the environment in which the intelligent microsensor is placed. The resultant state rather than raw data is communicated to the outside world when the microsensor is queried. The intelligent microsensor module (10, 100, 210, 300, 355, 410) of the present invention can locally determine and execute an action to be taken based on the determined state of the environment. The module (10, 100, 210, 300, 355, 410) can be readily reconfigured for multiple applications.

Chemical and biological detector systems, devices and apparatus. Such devices may be portable and wearable, such as badges, that are analyte-general, rather than analyte-specific, and which provide an optimal way to notify and protect personnel against known and unknown airborne chemical and biological hazards. The devices of the present invention are advantageously low-cost, have low-power requirements, may be wearable and are designed to detect and alarm to a general chemical and biological threat. A sensor device of the present invention in one embodiment includes two or more sensor devices, a processing module coupled to each of the sensor devices and configured to process signals received from each of the two or more sensor devices to determine an environmental state; and a communication module that communicates information about the environmental state to a user.

A method and system for controlling an apparatus including receiving data indicative of an actual state of the apparatus, defining a first viewpoint relative to at least one of the environment and the apparatus, determining a first predicted state of the apparatus at time T, determining a first predicted state of the environment at time T, producing a first virtualized view from the first viewpoint, sending a first control signal to the apparatus after producing the first virtualized view, defining a second viewpoint relative to at least one of the apparatus and the environment, determining a second predicted state of the apparatus at time T+delta T, determining a second predicted state of the environment at time T+delta T, producing the second virtualized view from the second viewpoint, sending a second control signal to the apparatus after producing the second virtualized view, and changing the actual state of the apparatus based on the first control signal.

A system and method for dispatching a plurality of vehicles operating in a work area among a plurality of destination locations and a plurality of source locations includes implementing linear programming that takes in an optimization function and constraints to generate an optimum schedule for optimum production, utilizing a reinforcement learning algorithm that takes in the schedule as input and cycles through possible environmental states that could occur within the schedule by choosing one possible action for each possible environmental state and by observing the reward obtained by taking the action at each possible environmental state, developing a policy for each possible environmental state, and providing instructions to follow an action associated with the policy.

Tasking systems and methods are provided that support user interfaces for displaying objects, the displayed objects enabling user access to resources that provide for effecting tasks among the system and devices of the systems' environment. More particularly, tasking systems and methods are provided that support the foregoing features, wherein the systems and methods support clustering operations respecting such task-associated objects so as to enhance the effecting of the associated tasks, such clustering operations responding to context. The clustering operations preferably are both adaptive and dynamic. Tasking systems and methods preferably support the tracking of selected states, including, as examples, one or more of environment states, device states, and system states. Tracked states typically also include states respecting other relevant criteria, such as temporal criteria.

A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.

A control system and method for controlling a system, which employs a data set representing a plurality of states and associated trajectories of an environment of the system; and which iteratively determines an estimate of an optimal control policy for the system. The iterative process performs the substeps, until convergence, of estimating a long term value for operation at a respective state of the environment over a series of predicted future environmental states; using a complex return of the data set to determine a bound to improve the estimated long term value; and producing an updated estimate of an optimal control policy dependent on the improved estimate of the long term value. The control system may produce an output signal to control the system directly, or output the optimized control policy. The system preferably is a reinforcement learning system which continually improves.

The invention relates to a domestic full-automatic vegetable planting machine. The domestic full-automatic vegetable planting machine comprises a machine box. A planting tray which is used for plantation of vegetables and enabling the vegetables to grow is arranged in the machine box. A nutrient solution conveying and adjusting system which is used for adjusting and controlling a nutrient solution in the planting tray, an environment control system which is used for adjusting the growing environment in the machine box, and an environmental state detection device which is used for detecting the environmental state in the machine box are further arranged in the machine box. The input end of the environment control system is connected with the environmental state detection device, the output end of the environment control system is connected with the nutrient solution conveying and adjusting system, the environment control system adjusts and controls the environmental state of the planted vegetables in the machine box according to the environmental state detected by the environmental state detection device, and the nutrient solution in the planting tray is adjusted through the nutrient solution conveying and adjusting system so that the requirement for planting the vegetables inside a house can be met. The domestic full-automatic vegetable planting machine is compact in structure, convenient to use, capable of meeting the requirement for planting the vegetables inside the house, wide in application range, low in cost, safe and reliable.

A monitoring system (10) for monitoring people in swimming pools and other similar environments has a child unit (12) and a parent unit (14) that are in wireless communication with each other. The child unit is intended to be worn by a person near a swimming pool. The child unit includes a water sensor and a proximity sensor that detect when the child unit is immersed in water or when it is removed from the person—potentially hazardous environments. The child unit sends signals to the parent unit indicative of the state of the environment. If the state of the environment is detected as being hazardous, then the parent unit is operable to emit an alarm. The emission of the alarm is delayed by a predetermined time delay, which is variable depending upon the needs of the person being monitored.

Templates are used to programmatically create workflows used in managing an Information Technology environment. The templates include conditional processing that enable the workflows to be created based on the current state of the environment.

The invention discloses a deep Q neural network anti-interference model and an intelligent anti-interference algorithm. A pair of emitting end and receiving end is a user, communication with the useris carried out, user communication is interfered by one or multiple jammers, the spectrum waterfall map of the receiving end is used as an input state of learning, and frequency domain and time domaincharacteristics of the interference are calculated. The algorithm comprises steps that firstly, a Q-value table corresponding to fitting is obtained through the deep Q neural network; secondly, a strategy is selected by the user according to the probability, training is carried out based on a return value of the strategy and the next environmental state, and the network weight and frequency selection strategy are updated; when the maximum number of cycles is reached, the algorithm ends. The model is advantaged in that the model is complete, the physical meaning is clear, the design algorithmis reasonable and effective, and the anti-interference scene based on the deep reinforcement learning algorithm can be excellently described.

The application discloses a mobile terminal and a contextual model automatic switching method thereof. The method comprises that: a current value of the environment state in which the mobile terminal is positioned is acquired, and the environment state comprises acceleration induction state, geographic position, environment light, environment noise, time and approaching induction state; whether the acquired current value of the environment state meets a judgment condition of a contextual model in a user contextual model list is judged, if the judgment result is yes, the contextual model meeting the condition is switched on, and communication message prompting is performed by using the contextual model; and if the judgment result is no, the corresponding contextual model is confirmed according to the acquired current value of the environment state, the confirmed contextual model is switched on and the communication message prompting is performed by using the contextual model. The contextual model confirmed by the method can be suitable for the environment in which a user is positioned to the largest extent so that the contextual models of the mobile terminal can be switched in a more intelligent way.

Management of a customer's IT environment is facilitated by correlating events that occur within the environment, obtaining information relating to those events, and performing actions, such as environment tuning or recovery actions, based on the information. Discrete phases of processing are used to obtain the information and/or perform the actions. One or more of these discrete processing phases have tunable time intervals associated therewith. That is, at least one time interval is dynamically adjusted based on the runtime state of the environment.

A learning control apparatus for controlling a learning operation of an apparatus sensing a state of an environment and selecting a behavior based on the sensed content, includes a predictor for learning the behavior and a change in the state of the environment, and predicting a change in the state of the environment in response to a predetermined behavior, a goal state setting unit for setting a goal state in the behavior, a planner for planning a behavior sequence from a current state to the goal state set by the goal state setting unit based on a prediction of the predictor, and a controller for controlling the behavior in the behavior sequence planned by the planning unit and learning an input and output relationship in the behavior.

Recovery processing is defined that matches the scope of an outage. A programmatic analysis of the resources that have been impacted, of implications of the failure and what degradations have occurred is performed to construct an appropriate level of recovery. This includes selecting the appropriate set of resources to be recovered. Recovery operations are selected based on the current state of the environment.

Management of an Information Technology (IT) environment is conditionally controlled based on runtime analysis of resource pairing constructs. Resource pairings are provided, and evaluated based on the current state of the environment. This real-time information is then used in performing managerial tasks, the results of which are effected by the runtime conditions.

The invention discloses a method for seeking for an overall situation time optimal path under a dynamic time varying environment. The method comprises the following steps: extracting environment state information; molding the space of the environment; carrying out time division on the environment according to the environment state information, namely dividing a time axis into a plurality of time intervals and utilizing time consumption to represent an environment state of each time interval; utilizing an improved A* algorithm to search the environment state to obtain the overall situation time optimal path; introducing weight to realize a multi-scale path planning aim. The method can be used for realizing the aims of obstacle avoidance of indoor robots and path optimization of the complicated time varying environment of outdoor road traffic; the weighing can be carried out between time cost and distance cost according to different requirements of users to formulate the optimal path and accurately calculate the time spent for the route.

Workflows to be used in managing a computing environment are dynamically and programmatically created and/or activities are invoked, based on the current state of the environment. In creating a workflow, activities are conditionally included in the workflow based on the state of the environment. Different types of workflows may be created.

The invention relates to the intelligent household field and particularly relates to an intelligent household control method and device. The intelligent household control method finishes the verification through obtaining personnel identity information in the room, and controls the indoor environment to make regulation through obtaining the comprehensive environment of the indoor and the outdoor and according to the indoor environment and the outdoor environment. The intelligent household control method and device do not need to input the control order to the intelligent household, and directly regulates the indoor environment to an optimal state that people feel the best through the outdoor environment. The user experience is excellent and the intelligentalized level is high.

The invention provides a multi-Agent-based distributive deduction simulation system and a multi-Agent-based distributive deduction simulation method. The multi-Agent-based distributive deduction simulation system comprises a data communication link, a deduction configuration and statistic analysis computer, an environment information management computer, an environment master control system computer and a distributive deduction Agent computer. The multi-Agent-based distributive deduction simulation system can realize independent perception of battleground environment and independent decision and behavior output, can select different deductive Agent models, and becomes an expansible and universal combat simulation system only by modularly changing corresponding combat weapon bank or loading the brand-new equipment information in a fixed format to the combat weapon bank for some new combat weapons or equipment so as to test the performance of the various new combat weapons.

Methods and apparatuses for managing anonymized character profile information and scheduling in-game activities for online virtual game environments. The disclosure describes a trusted method for automatic synchronization of character profile information with a trusted information management system that minimizes the possibility of fraudulent character profile information and allows for the efficient coordination of in-game activities by the users of the online virtual environment. Methods are described for interacting with a trusted information management system in both in-game and out-of-game settings. According to one embodiment of the invention, an in-game module of the virtual environment allow for automatically synchronization of virtual environment state information with a trusted information management system at periodic intervals. According to another embodiment of the invention, access to the trusted information management system via a web browser application allows for out-of-game management and scheduling of in-game activities by the user of the online virtual environment.