4198 results about "State parameter" patented technology

Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include blood glucose levels, calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

The invention is a system for detecting, monitoring, and reporting an individual's physiological or contextual status. The system works deriving a physiological or contextual status parameter of an individual using the system. The derivation utilizes two sensed parameters of the individual. The system is able to present the derived parameter in relation to any other sensed parameters, entered information, life activities data, or other derived data.

A diagnostic tool automatically collects and stores data indicative of a variability parameter, a mode parameter, a status parameter and a limit parameter for a multi-variable function block associated with one or more devices or loops within a process control system, processes the collected data to determine which devices, loops or function blocks have problems that result in reduced performance of the process control system, displays a list of detected problems to an operator and then suggests the use of other, more specific diagnostic tools to further pinpoint or correct the problems. When the diagnostic tool recommends and executes a data intensive application as the further diagnostic tool, it automatically configures a controller of the process control network to collect the data needed for such a tool.

An image data manipulation system is described in which users located remotely from an image data storage library may participate in a collaborative image data rendering and evaluation session. The system includes the exchange of state parameters between the client computer of a user controlling the image rendering, the session driver, and a server computer which relays updated state parameters to other client computers participating in a session. The state parameters are used to update the view on each users computer to keep all the displays of the participants in synch with that of the session driver. The server processes extensive image rendering task for which the remote clients are not equipped and transmits newly-processed image data to the clients as appropriate. One embodiment for educational applications utilizes pre-stored image data sets which eliminates the need to transmit large blocks of image data over a network during a collaborative session.

Methods and apparatus may provide for the adaptive operation of a solar power system (3). Solar energy sources (1) and photovoltaic DC-DC power converters (2) may be interconnected in serial, parallel, or combined arrangements. DC photo-voltaic power conversion may be accomplished utilizing dynamically adjustable voltage output limits (8) of photovoltaic DC-DC power converters (2). A photovoltaic DC-DC power converter (2) may include at least one external state data interface (7) receptive to at least one external state parameter of a solar power system (3). A dynamically adjustable voltage output limit control (12) may be used to relationally set a dynamically adjustable voltage output limit (8) of a photovoltaic DC-DC power converter (2). Dynamically adjusting voltage output limits (8) may be done in relation to external state parameter information to achieve desired system results.

An electronic device with self-learning function includes an input unit, a state detecting unit, a state recording unit, a state analysis unit, and a processing unit. The input unit generates input signals according to operations of a user. The state detecting unit detects real-time values of the state parameters. The state recording unit obtains the real-time values of predetermined state parameters when the input signals are received. The state analysis unit analyzes whether the times of an operation under a same state parameter value or in same state parameter value range has reached or equal to a predetermined number of times within a predetermined time period. If yes, the state analysis unit determines the operation is a habit and the state parameter value corresponding to the operation is the state parameter value of the habit. The processing unit executes a task corresponding to the habit.

A control method for a motor that rotates based on flux linkages to a winding member of the motor when the winding member is energized by a drive current is provided. The method includes storing magnetic-state information indicative of a relationship between each of a plurality of predetermined operating points of the drive current and a magnetic-state parameter associated with the flux linkages. The method includes obtaining at least one of command information associated with an operating state of the motor and detection information associated with the operating state of the motor. The method includes referencing the magnetic-state information with the use of the obtained at least one of the command information and detection information to obtain a value of the magnetic-state parameter based on a result of the reference. The method includes controlling an output of the motor based on the obtained value of the magnetic-state parameter.

One embodiment of the present invention includes techniques for processing a multi-resolution hierarchy, where an application configures a ROP unit to render all the levels included in the multi-resolution hierarchy to a single composite render target. The ROP unit renders memory pages to the composite render target in pitch order. In contrast, the texture unit accesses the composite render target with memory pages in pitch order for each level of the hierarchy. The application configures the MMU to ensure that the composite render target is correctly interpreted by the texture unit. Notably, the MMU translates ROP unit virtual addresses and texture unit virtual addresses using different mapping strategies to the same physical address space. One advantage of the disclosed embodiments is that rendering to the multi-resolution hierarchy does not require the CPU to execute the state parameter changes that are associated with rendering the different hierarchical levels using prior-art techniques.

The invention relates to a GIS device state intelligent monitoring system and method based on the edge computing technology. The system includes a state sensor terminal, a data node device and an intelligent monitoring center, wherein the state sensor terminal is used for gathering collected state data to the data node device to perform power IoT edge calculation and is connected with the intelligent monitoring center through the transmission network, the condition monitoring sensor terminal is used for acquiring related state parameters in real time and receiving and performing limited edge calculation tasks, the data node device is used for collecting the data and receiving and performing the edge calculation tasks, and the intelligent monitoring center is used for performing equipment IoT management, intelligent evaluation analysis and advanced application for a GIS device state and configuring an optimized edge calculation algorithm model and an SG-CIM data model to the data node device. The system is advantaged in that a circuit breaker GIS equipment Internet of Things system of a substation is constructed, and the automation, informationization and intelligence level of equipment state evaluation and diagnosis can be improved.

A method and system of deploying at least one software application from at least one source platform to at least one target platform is provided. The method may include obtaining configuration data on interdependency between the at least one target platform and the at least one software application. The method may further include checking a readiness of the at least one source platform for initiating deployment of the at least one software application. The method may further include checking a readiness of the at least one target platform for initiating deployment of the at least one software application and performing a selective deployment of the at least one software application after the readiness check. The method may further include performing a post-deployment assessment of the selectively deployed at least one software application after the selective deployment, wherein the post-deployment assessment includes checking a status parameter of the selectively deployed at least one software application.

A method and apparatus for applying selective backpressure to control a multi-stage interconnection network (MIN). At one or more stages in the MIN, local information is used to define a queue status parameter for each local queue in the fabric. At the egress linecard, the upstream queue status parameter is periodically combined with the egress linecard's output queue status to generate a queue-specific backpressure signal. The backpressure signal continuously indicates to the ingress linecard that a specific fabric queue or queues is experiencing congestion and that the ingress linecard should therefore slow down or stop sending additional packets to the affected queue. Status computation mechanisms, which are state machines in one embodiment of the present invention, are incorporated in each switch element in at least the last stage of the switch fabric. In an alternate embodiment, the ingress linecard further combines the backpressure signal with its own local queue status to influence the initial queuing decision. In another alternate embodiment, queue status calculating mechanisms are present within one or more stages further upstream from the last stage of the switch fabric. Queue status information from many stages can thus be scaleably combined with egress queue status to determine fabric congestion conditions efficiently and accurately in all queues.

A computer-implemented method for sending a message. The computer-implemented method also includes monitoring, using a first set of rules, for an event that triggers a message to be transmitted. The computer-implemented method further includes ascertaining, using a set of notification rules and at least one of a first present parameter and a first status parameter, whether a first user is capable of reviewing the message substantially immediately after the message is transmitted to the first user if the message is transmitted to the first user, the first present parameter indicating whether a first instant messaging client associated with the first user is currently online, the first status parameter indicating whether the first user is available for the reviewing. The computer-implemented method also includes transmitting the message to the first instant messaging client associated with first user if the first user is ascertained to be capable of reviewing the message substantially immediately after the message is transmitted to the first user.

Some embodiments provide a director agent, a server agent, and a specialized hand-off protocol for improving scalability and resource usage within a server farm. A first network connection is established between a client and the director agent in order to receive a content request from the client from which to select a server from a set of servers that is responsible for hosting the requested content. A second network connection is established between the server agent that is associated with the selected server and a protocol stack of the selected server. The first network connection is handed-off to the server agent using the specialized hand-off protocol. The server agent performs network connection state parameter transformations between the two connections to create a network connection through which content can be passed from the selected server to the client without passing through the director.

A method for estimating the skeletal status or bone quality of a vertebrate on the basis of two-dimensional image data comprising information relating to the trabecular structure of at least a part of a bone of the vertebrate, the image data being data obtained by exposing at least the part of the bone to electromagnetic radiation, such as X-rays, the method comprising subjecting the image data to a statistical analysis comprising a background correction procedure in which low frequency intensity variations not related to the trabecular structure of the bone are reduced relative to image data related to the trabecular structure of the part of the bone, a feature extraction procedure comprising (a) determining values reflecting the projected trabecular density in the image data, caused by the X-ray attenuating properties of cancellous bone in the part of the bone, for each of a number of locations or areas in the image data, (b) deriving one or more features from the variation of the determined PTD-values, preferably in the longitudinal direction of the bone, and an estimation procedure in which the skeletal status of the vertebrate is estimated on the basis of the one or more derived features and optionally other features related to the bone of the vertebrate and a predetermined relationship between the features and reference skeletal status parameters. Preferably, a profile describing the projected trabecullar density as a function of the distance along a line substantially at the center of the bone is determined, and information relating to skeletal status is derived from variations, fluctuations or other features of the profile.

An apparatus and method for depositing plural layers of materials on a substrate within a single vacuum chamber allows high-throughput deposition of structures such as these for GMR and MRAM application. An indexing mechanism aligns a substrate with each of plural targets according to the sequence of the layers in the structure. Each target deposits material using a static physical-vapor deposition technique. A shutter can be interposed between a target and a substrate to block the deposition process for improved deposition control. The shutter can also preclean a target or the substrate and can also be used for mechanical chopping of the deposition process. In alternative embodiments, plural substrates may be aligned sequentially with plural targets to allow simultaneous deposition of plural structures within the single vacuum chamber. A monitoring and control device can be wed to optimize equipment state, process state, and wafer state parameters by sensing each respective state during or after the deposition process.

The invention provides a robot path planning method and an apparatus thereof based on a Bezier curve. The method comprises the following steps that: a robot path planning parameter input unit receives and sets a robot state parameter, a constraint condition, a path discretization minimum time resolution; a robot path generation unit generates a group of Bezier curve control points consisting of four 4-dimension vectors according to the robot state parameter and plans out a continuous path between an origin position to a target position of the robot; the robot path generation unit forms a timepoint sequence according to the path discretization minimum time resolution and calculates a discretization path according to the continuous path; a path point parameter detection unit detects whether a speed, an acceleration and a turn radius of each path point which is corresponding to the time points satisfy the constraint condition; if the speed, the acceleration and the turn radius of each path point do not satisfy the constraint condition, the control points are regenerated; otherwise, a planning path output unit receives and outputs a robot path which is planed by the path point parameter detection unit and satisfies the constraint condition.

An apparatus for determining a condition parameter of a battery, receives measurement signals related to the battery, determines input data such as electrical impedance from the measurement signals, and provides the input data to a plurality of different prediction algorithms, wherein each prediction algorithm provides a condition parameter estimate. A plurality of condition parameter estimates are then provided to a decision fusion algorithm, allowing a more accurate prediction of the condition parameter.

Transducers of different distributions detect the existence of targets of environment first and a test information composition system mixes the results detected by transducers to follow up the state and pick-up the character of the target. The state information composition system and the character dinformation composition system composite the traced states and identification results of character vector separately by each transducer to get relative accurate state parameter and identified results and information composition makes the entire systematic composition to provide favorable decision for next step, to increase systematic detecting probability, estimated accuracy and identified probability and more resonable algorithm.

In the case of malfunctioning of an inhibitor switch of an automatic transmission, a current vehicle speed is compared with a maximum vehicle speed of a reverse speed when the current vehicle speed is other than 0. The transmission is then controlled to a target shift-speed determined on the basis of vehicle driving state parameters, when the current vehicle speed is higher than the maximum vehicle speed of the reverse speed.

A system, method and computer application for electronic device 10 for detecting movement near an electronic device. The electronic device includes movement detection circuitry configured to detect movement of an object near the movement detection circuitry. The movement detection circuitry includes at least one sensor that detects movement and generates at least one output signal corresponding to a position of the object detected. The electronic device further includes a memory for storing one or more predefined state parameters that correspond to one or more predefined movements to be detected by the movement detection circuitry. During processing, the output signals of the sensors are processed by averaging signals received from the one or more sensors to determine vertical movement above the movement detection circuitry and a determination is made as to whether the output signals of the one or more sensors are active or inactive to determine horizontal movement across the movement detection circuitry.

The invention discloses an intelligent device control method and device based on a set a scenario mode. The control method includes the steps that state parameter information collected by at least one first intelligent device is obtained, wherein the state parameter information and a user account are bound; whether the preset scenario mode is triggered or not is judged according to the state parameter information; if the scenario mode is to be triggered, a corresponding control command is sent to at least one second intelligent device according to the scenario mode in order to control the second intelligent device to carry out corresponding operation, wherein the corresponding control command and the user account are bound. By the adoption of the intelligent device control method and device, the originally mutually independent intelligent devices can be connected, and application scenarios of the intelligent devices can be expanded through combination between the intelligent devices.

A control system for an internal combustion engine having at least one fuel injection valve for injecting fuel to an intake pipe or a combustion chamber of the engine. Intake gas state parameters indicative of a state of the intake gases supplied to the engine are detected. Demand values of the intake gas state parameters are calculated according to operating condition parameters indicative of an operating condition of the engine. The intake gas state is controlled so that the intake gas state parameters coincide with the demand values. A control value is then calculated according to the operating condition parameters and deviations of the intake gas state parameters from the demand values. Accordingly, an amount of fuel injected by the at least one fuel injection valve is controlled according to the control value.

The invention discloses a method for predicting the future speed trajectory of a hybrid power bus. The method includes the following steps that parameters are obtained and normalized; an input parameter vector and an output parameter vector of an RBF neural network are determined; the RBF neural network is offline trained; the future speed trajectory is online predicted. Based on online learning of the RBF neural network, prediction of the speed trajectory is studied under the precondition that global optimization of the control strategy of the hybrid power bus is achieved from the aspect of a people-bus-environment system, the method for predicting the bus future driving trajectory is provided and fully takes bus state parameters, driver driving styles and front road environment and traffic state parameters into consideration, and accuracy of prediction of the bus speed is improved. The influences of the people-bus-environment system on the future working condition is fully taken into consideration, accuracy of prediction of the working condition is improved while the bus has the precognition capacity, and a good foundation is laid for global optimization of the control strategy.

The invention provides a wind energy and solar energy grid-connected generation system and a control method thereof. The wind energy and solar energy grid-connected generation system comprises a generation unit, an inversion unit, a grid-connecting unit, a main control unit and a detection unit. Each unit is effectively controlled by an integrated control unit which is formed by a digital signal processor (DSP), and operating state parameters of the system are predicted by a neural network, so the defect that the grid-connected system changes due to execution delaying of a control instructionis overcome, and the operating stability of the system is improved. Island detection adopts an active and passive detection mode, so the capacity for anti-island operation of the system is improved. The invention has the advantages that: inverted electric energy is supplied to an electricity grid and can be locally supplied to local alternating current and direct current loads, so the load pressure of the electricity grid is reduced, and the capacity for stable operation of the electricity grid can be improved; and when the output electric energy of the system is smaller than a local load, the electricity grid can supply power to the local load of the system, so the local load is supplied with power doubly by power supplies of the system and the electricity grid, and the time for uninterrupted power supply of the power supplies is prolonged.

A battery state estimating unit (110) estimates an internal state of a secondary battery according to a battery model equation in every arithmetic cycle, and calculates an SOC based on a result of the estimation. A parameter characteristic map (120) stores a characteristic map based on a result of actual measurement performed in an initial state (in a new state) on a parameter diffusion coefficient (Ds) and a DC resistance (Ra) in the battery model equation. The parameter change rate estimating unit (130) estimates a DC resistance change rate (gr) represented by a ratio of a present DC resistance (Rc) with respect to a new-state parameter value (Ran) by parameter identification based on the battery model equation, using battery data (Tb, Vb and Ib) measured by sensors as well as the new-state parameter value (Ran) of the DC resistance corresponding to the p resent battery state and read from the parameter characteristic map (120).

A method for predicting to whom a phone call is being made, including identifying at least one state parameter for a mobile phone, and at least one weighting factor corresponding to the at least one state parameter for each identified state parameter, predicting one or more likely contacts that a user of the mobile phone is calling, given that the user is making a phone call, based on the identified state parameter, for each likely contact, assigning a combined weight to the likely contact based on the at least one weighting factor, ranking the likely contacts according to the combined weights, and facilitating making a phone call to one or more of the likely contacts with the highest rankings. A mobile phone is also described and claimed.

The invention relates to a vehicle control method based on multi-information integration. The method comprises the following steps that: a vehicle controller unit reads vehicle state parameters in real time and correspondingly sends the vehicle state parameters to modules of the vehicle controller unit; a road slope angle calculation module, a vehicle quality calculation module, a vehicle auxiliary power calculation module and a future path forecasting module of the vehicle controller unit calculate the parameters and correspondingly sends the calculated parameters to the modules; a power battery state of charge (SOC) forecasting module determines the optimal target SOC trace curve of a power battery in certain time; a motor target torque calculation module calculates a motor target torque; a power distribution module distributes output power of an auxiliary power unit (APU) system and the power battery according to vehicle accessory power and the motor target torque; the motor target torque calculation module sends the motor target torque to a motor controller unit for controlling the motor to be driven; the power distribution module sends APU target power to an APU controller unit so as to control an auxiliary power source to work; the vehicle controller unit sets a sampling interval and reads the vehicle parameters; and the steps are performed repeatedly until the vehicle is power off. The vehicle control method is applied to pure electric vehicles and hybrid electric vehicles.

The invention discloses an evaluation device of state information of the machining process of a numerical control milling machine. A machining state data collecting array device, an information storage device, a numerical control system and the like on a machine tool are connected into a semi-closed-loop control circuit through the evaluation device MCU. A machining state data collecting array collects state data of main shaft currents, feed currents, vibration, machining temperatures and the like in the machining process of the numerical control machine tool and can intelligently identify abnormal states of abrasion and breakage of a cutter, material defects of workpiece blank and the like. A communication unit can achieve real-time connection between the machining state information collecting array and the evaluation device MCU. The evaluation device MCU checks and analyzes collected machining state parameters according to a certain algorithm, generates a check report and guides the information storage device to update the optimal parameter record. Meanwhile, the evaluation device has the prejudgment function, submits alarming when meeting with problems which cannot be dealt with and meanwhile analyzes corresponding error reasons and provides proper solutions. According to the evaluation device of the state information of the machining process of the numerical control milling machine, the machining parameters of the milling machine and the state information of the machining process are checked.