2657 results about "Total energy" patented technology

A processor provides signal quality based limits to a signal strength operating region of a pulse oximeter. These limits are superimposed on the typical gain dependent signal strength limits. If a sensor signal appears physiologically generated, the pulse oximeter is allowed to operate with minimal signal strength, maximizing low perfusion performance. If a sensor signal is potentially due to a signal induced by a dislodged sensor, signal strength requirements are raised. Thus, signal quality limitations enhance probe off detection without significantly impacting low perfusion performance. One signal quality measure used is pulse rate density, which defines the percentage of time physiologically acceptable pulses are occurring. If the detected signal contains a significant percentage of unacceptable pulses, the minimum required signal strength is raised proportionately. Another signal quality measure used in conjunction with pulse rate density is energy ratio, computed as the percentage of total energy contained in the pulse rate fundamental and associated harmonics.

Method and calculations determine an individual's, or several individuals' simultaneous rates of oxygen consumption, maximum rates of oxygen consumption, heart rates, calorie expenditures, and METS (multiples of metabolic resting rate) in order to determine the amounts of work that is performed by the individual's body. A heart monitor measures the heart rate, and an accelerometer measures the acceleration of the body along one or more axes. An altimeter measures change in altitude, a glucose monitor measures glucose in tissue and blood, and thermometers, thermistors, or thermocouples measure body temperature. Data including body fat and blood pressure measurements are stored locally and transferred to a processor for calculation of the rate of physiological energy expenditure. Certain cardiovascular parameters are mathematically determined. Comparison of each axis response to the individual's moment can be used to identify the type of activity performed and the information may be used to accurately calculate total energy expenditure for each physical activity. Energy expenditure may be calculated by assigning a separate proportionality coefficient to each axis and tabulating the resulting filtered dynamic acceleration over time, or by comparison with previously predetermined expenditures for each activity type. A comparison of total energy expenditure from the current activity is compared with expenditure from a previous activity, or with a baseline expenditure rate to assess the level of current expenditure. A measure of the individual's cardio-vascular health may be obtained by monitoring the heart's responses to various types of activity and to total energy expended.

An adaptive electric car or other vehicle with potentially better performance—power, efficiency, range—than a gasoline vehicle, at a competitive cost. The motor control system can dynamically adapt to the vehicle's operating conditions (starting, accelerating, turning, braking, cruising at high speeds) and other inputs and parameters. That consistently provides better performance. Isolating the vehicle's motor or generator electromagnetic circuits allows effective control of more independent parameters. That gives great freedom to optimize. Adaptive motors and generators for an electric vehicle are cheaper, smaller, lighter, more powerful, and more efficient than conventional designs. An electric vehicle with in-wheel adaptive motors delivers high power with low unsprung mass and high torque and power-density. Total energy management of the vehicles entire electrical system allows for large-scale optimization. An adaptive architecture improves performance of a wide variety of vehicles, particularly those that need optimal efficiency over a range of operating conditions.

A hand held device generates a predetermined number of pulses of electromagnetic radiation having a predetermined electromagnetic spectrum, a predetermined duration, a predetermined inter-pulse interval, and a predetermined total energy. The pulse sequence is delivered to a skin surface to reduce or eliminate Xray or ultraviolet radiation damage to the skin surface.

The invention discloses a joint optimization method for task unloading and resource allocation in a mobile edge computing network, which comprises the following steps of 1, establishing an OFDMA (Orthogonal Frequency Division Multiple Access)-based multi-MEC (Mobile Edge Computing) base station and a multi-user scene model, wherein the MEC base station supports the multi-user access; 2, introducing an unloading decision mechanism; Meanwhile, constructing a local calculation model and a remote calculation model, selecting a user needing to perform calculation unloading, and establishing a calculation task unloading and resource allocation scheme based on minimum energy consumption under the condition of meeting the time delay constraint according to the conditions; 3, carrying out variablefusion on three mutually constrained optimization variables, namely an unloading decision variable, a wireless resource distribution variable and a computing resource distribution variable, so as to simplify the problem; and 4, obtaining an unloading decision and a resource allocation result which enable the total energy consumption of the user in the MEC system to be minimum through a branch andbound algorithm. The method has the advantage that the energy consumption of the system can be effectively reduced on the premise that strict time delay limitation is guaranteed.

An energy optimization method and control apparatus may be used in a single building or a group of buildings to optimize utility-supplied and renewable sources in order to minimize the total energy cost. Simultaneously, it may also produce and store energy, such as electricity or hydrogen, that can be used to fuel vehicles, provide a means for independent production of household energy needs, or both. Various factors, such as the production of thermal energy and electricity from the renewable sources, the current store of stored energy, the current and expected thermal and electricity requirements of the building (based on a profile), the current and expected electricity loads of the equipment used to process stored energy, the expected thermal and electricity generating capacity of the renewable sources and other factors can be used to determine the mix of renewable-based and utility-based energy that minimizes the total energy cost.

A system and method to increase the overall power output of a windpark during conditions when the wake created by an upstream turbine effects the power production of a downstream turbine. Minimizing the wake effects created by an upstream turbine on a downstream turbine increases the net power produced by both the upstream and downstream turbines. The invention is an implementation of an algorithm to determine the controller settings of one or more upstream turbines to increase total energy capture of the turbines in the windpark. The algorithm also reduces the fatigue loads on the downstream turbines by reducing the turbulence created by the wake effects of the upstream turbine.

Lithium ion secondary batteries are described that have high total energy, energy density and specific discharge capacity upon cycling at room temperature and at a moderate discharge rate. The improved batteries are based on high loading of positive electrode materials with high energy capacity. This capability is accomplished through the development of positive electrode active materials with very high specific energy capacity that can be loaded at high density into electrodes without sacrificing performance. The high loading of the positive electrode materials in the batteries are facilitated through using a polymer binder that has an average molecular weight higher than 800,000 atomic mass unit.

Methods and systems for performing three dimensional LIDAR measurements with varying illumination field density are described herein. A LIDAR device includes a plurality of pulse illumination sources and corresponding detectors. The current pulses supplied to the pulse illumination sources are varied to reduce total energy consumption and heat generated by the LIDAR system. In some embodiments, the number of active pulse illumination sources is varied based on the orientation of the LIDAR device, the distance between the LIDAR device and an object detected by the LIDAR device, an indication of an operating temperature of the LIDAR device, or a combination thereof. In some embodiments, the number of active pulse illumination sources is varied based on the presence of an object detected by the LIDAR device or another imaging system.

Methods and systems for performing three dimensional LIDAR measurements with different illumination intensity patterns are described herein. Repetitive sequences of measurement pulses each having different illumination intensity patterns are emitted from a LIDAR system. One or more pulses of each repetitive sequence have a different illumination intensity than another pulse within the sequence. The illumination intensity patterns are varied to reduce total energy consumption and heat generated by the LIDAR system. In some examples, the illumination intensity pattern is varied based on the orientation of the LIDAR device. In some examples, the illumination intensity pattern is varied based on the distance between a detected object and the LIDAR device. In some examples, the illumination intensity pattern is varied based on the presence of an object detected by the LIDAR device or another imaging system.

Apparatus, systems, methods, and related computer program products for carrying out a demand response (DR) event via an intelligent, network-connected thermostat associated with a structure. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat is operable to control an HVAC system. Control during a DR event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function comprising a combination of a first factor representative of a total energy consumption during the DR event period, a second factor representative of a metric of occupant discomfort, and a third factor representative of deviations of a rate of energy consumption over the DR event period.

The invention discloses a routing method for the wireless sensor network with efficient energy, which is suitable for the layered sensor network structure. The routing method is composed of initialization, cluster building, adjacent clusters routing and routing maintenance, wherein, an initialization process of the protocol makes a Sink node obtain a topology and network average energy of the sensor network, and each node obtains hop counts from the node to the Sink node; in the stage of the cluster building, a repeated division method is used to divide sensor network clusters, the divided clusters are even, and a leader cluster node is undertaken by nodes with higher residual energy; the adjacent clusters routing uses an ant colony algorithm to determine the probability of using a link to send information according to the link pheromone concentration, and the link pheromone concentration is increased with the information transmission on the link and is reduced with the time going; and the routing maintenance stage is responsible for updating link pheromone concentration, and makes the nodes inside the cluster with higher residual energy undertake the leader cluster in turn. The routing method can reduce the consumption of the network total energy, can balance the consumption of the node energy and can prolong the network life cycle.

A battery system for storing electrical power and supplying electrical power to a vehicle is disclosed. The system includes multiple battery packs, each with a plurality of cells. The cells in each battery pack are electrically connected with one another and the multiple battery packs are also electrically connected with one another to combine the total energy output of the cells of the system. The electrical connections between at least some of the cells include a severable feature, whereby the electrical connection is severed locally at the severable feature in response to an impact force that is in excess of a predetermined magnitude and/or an overcurrent/overtemperature condition.

The invention provides a computing task unloading method based on edge computing and cloud computing collaboration. The computing task unloading method comprises the steps that variable parameters areset and initialized; Constructing respective time delay models and energy consumption models of the mobile terminal, the edge node and the remote cloud, obtaining a time delay expected value model and a total energy consumption model of the mobile terminal when the current task load is completely executed, and further obtaining a time delay expected value model and a total energy consumption model of all tasks in the total mobile terminal when the tasks are executed; Defining an optimal distribution problem and converting the optimal distribution problem into a convex optimization problem; And introducing a Lagrangian function to solve an optimal solution of task execution amounts of the terminal local machine, the edge node and the far-end cloud under the KKT constraint condition, so that each mobile terminal adjusts and executes according to the task execution amounts of the terminal local machine, the edge node and the far-end cloud, which are obtained by respectively and correspondingly solving the optimal solution. According to the implementation of the invention, the computing power and the power consumption limitation of the mobile terminal, the edge node and the remote cloud are comprehensively considered, and an optimal computing task unloading decision is realized.

An electrosurgical generator is disclosed. The generator includes a radio frequency output stage configured to generate a radio frequency waveform and a sensor circuit configured to measure a property of the radio frequency waveform during a predetermined sampling period to determine whether an arc event has occurred. The generator also includes a controller configured to determine a total charge and/or total energy deposited by the radio frequency waveform during the predetermined sampling period associated with the arc event. The controller is further configured to adjust the output of the electrosurgical generator based on at least one parameter to limit arcing.

A power schedule calculation method utilizes an idealized geometry to predict laser power levels on an additive path during laser deposition. The method calculates beam power for any point along the path traveled to form a build having a geometry. Each point along the path has associated with it an idealized geometry comprising a melt pool, hot zone and bulk portion. The method comprises creating a geometric description representing the geometry of the build during the process, creating a path description representing the path of the beam source through space during the process, calculating the idealized geometry for the point on the path based upon the geometric description and path description, calculating an energy balance at the melt pool for the point on the path, calculating total energy needed at the point on the path and calculating optimum beam source power. In the calculations, build temperature is based upon a calculation of hot zone temperature derived from the idealized geometry.