411 results about "Goal attainment" patented technology

A user-friendly programmable thermostat is described that includes a central electronic display surrounded by a ring that can be rotated and pressed inwardly to provide user input in a simple and elegant fashion. The current temperature and setpoint are graphically displayed as prominent tick marks. Different colors and intensities can be displayed to indicate currently active HVAC functions and an amount of heating or cooling required to reach a target temperature. The setpoint can be altered by user rotation of the ring. The schedule can be displayed and altered by virtue of rotations and inward pressings of the ring. Initial device set up and installation, the viewing of device operation, the editing of various settings, and the viewing of historical energy usage information are made simple and elegant by virtue of the described form factor, display modalities, and user input modalities of the device.

A drive assist system includes an assist starting part starting assist, a detection part detecting relative distances and speeds between a vehicles, a calculation part calculating collision risks when changing a lane by the basis of the relative distances and speeds, a first judgment part judging whether the lane can be changed by the relative distances, speeds and the collision risks, a decision part deciding a target space for lane change by the relative distances and speeds when the lane cannot be changed, a second judgment part judging whether a lane changeable space is in the target space, a setting part setting a target speed for the vehicle go to a lane change waiting position when no space and to setting a target speed the vehicle enters a lane changeable position when there is the space, and a control part controlling a speed of the vehicle reaches the target speed.

Error correction is tailored for the use of an ECC for correcting asymmetric errors with low magnitude in a data device, with minimal modifications to the conventional data device architecture. The technique permits error correction and data recovery to be performed with reduced-size error correcting code alphabets. For particular cases, the technique can reduce the problem of constructing codes for correcting limited magnitude asymmetric errors to the problem of constructing codes for symmetric errors over small alphabets. Also described are speed up techniques for reaching target data levels more quickly, using more aggressive memory programming operations.

In a radar system that detects relatively fast moving targets using a radar clutter map comprising a plurality of range-azimuth cells containing parameter data values indicative of time averaged echo returns for affecting alarm threshold levels at range-azimuth locations scanned by the radar system antenna, a method for detecting relatively slow moving targets in a substantially homogeneous surveillance region, the method comprising the steps of obtaining from the radar clutter map a value corresponding to parameter data of a given cell under test (CUT); determining a second parameter data value using parameter data values of other cells from the plurality of range-azimuth cells from the radar clutter map; comparing the parameter data value of the CUT with the second parameter data value; and generating a signal indicative of a target detection when the CUT parameter data value exceeds the second parameter data value by a given threshold corresponding to a target false alarm rate.

The invention provides a multi-mode and multi-target precise tracking device and the method, wherein, a digital servo-platform is used as the support platform; a CCD video camera and an infrared sensor are arranged on the digital servo-platform for receiving image information; the received image information is processed through a comprehensive information process platform for obtaining the tracking information of the target; the tracking information is compressed and transmitted to a control center through a transmission equipment for monitoring. The means that acquiring the target tracking information from the image information is the core of detecting and tracking weak and small targets in complicated background. The method divides and selects the targets through target adaptive threshold based on the binomial distribution judgment rule after pre-processed the image under low signal-to-noise ratio, and then improves the detecting probability of the target and reduces the false alarm probability through data fusion of infrared sensor and visible light sensor, and finally detects and estimates the movement of the selected target to acquire the tracking information of the target. When the target shape is changed, the feature invariant is searched through shape identification of edge feature normalization to realize precise tracking to the target.

A system and method for detecting a road curve as a vehicle approaches the curve, automatically providing road curvature information and controlling vehicle speed. The system uses a locating device and a map database to know the vehicle's position. Depending on the speed of the vehicle, the system generates a curvature profile for different curvature data points at or around the curve in front of the vehicle. The system then generates a desired speed profile for the curvature points. The desired speed profile and the actual vehicle speed are compared to determine whether the vehicle is traveling too fast for the target speed at each profile point. The acceleration computation can be enhanced by providing a driver cornering mode input that the vehicle operator can select based on how aggressively the driver wants the system to act to slow down the vehicle.

The invention provides a method for tracking a small target with high precision under a complex background and a low signal-to-noise ratio (SNR). The method comprises pre-treating an image under the complex background and low SNR, portioning and extracting the target based on a target adaptive threshold of the binomial distribution judgment rule, adopting a curve fitting algorithm based on Kalmanfilter thinking improvement to carry out motion prediction on the target, using data fusion of infrared and visible light transducers to improve detection probability of the target and reduce false-alarm probability, and when the shape of the target alters, using a shape of which edge characteristics are normalized to identify and seek characteristic invariables so as to achieve precise tracking of the target.

A method for the automatic collection of surveillance information by an unmanned air vehicle comprises the steps of receiving an automatic collection requirements message, determining a route for gathering requested information about a target in accordance with a collection policy, and controlling operation of an air vehicle to follow the route and gather the requested information. An automatic collection management system for an unmanned air vehicle that performs the method is also provided.

The invention relates to a plant growth chamber based on artificial intelligence technique and a control system thereof. The control system comprises an environmental parameter sensor, an environmental parameter transmitter, an artificial intelligence debugging device, an environment control driver and an environment control actuator, wherein a signal input terminal of the environmental parameter transmitter is connected with the environmental parameter sensor while an output terminal is connected with a signal input terminal of the artificial intelligence debugging device, the artificial intelligence debugging device configures the environmental conditions of the plant growth chamber through an expert system and according to plant types and experimental conditions, the environment control driver drives to starting or stopping devices in the environment control actuator, and the environment control actuator controls the environmental parameters to achieve target setting values. A framework, an upper cover mounted on the top of the framework, and a growth chamber body supported by the framework are detachably assembled. The plant growth chamber based on artificial intelligence technique and the control system thereof are capable of simulating different climates, provides favorable conditions for further study of influence law of physiological ecology caused by different environmental factors and compositions thereof, and has the advantages of large capacity, long service life and the like.

A method which simulates the operating speed of an emulated target system with a consistent rate of instruction execution on a plurality of host systems with varied and variable instruction execution speeds. An arbitrary “time quantum” is selected as a referent and is multiplied by the target's speed of instruction cycle execution to determine the quantity of instructions the target system executes in the specified time period. When non-native code is executed on the host system, a counter is used to track the number of instructions executed and to interrupt when that target quantity is reached. A processor-activity-independent timing source is queried to determine the time elapsed; that measurement is then compared to the original “time quantum.” The resulting ratio is a timing reference that is independent of the operating speed characteristics of any particular host system. This reference is used to predict the operational speed of the host system and to adjust factors in the host computer and emulation process to more accurately match the target system before executing the next block of instructions and repeating the process. In certain embodiments, the time quantum is dynamically adjusted to avoid sampling frequencies, which may conflict or resonate with timing frequencies of other system activities or to place a greater or lesser load on the host system. This process results in more consistent, accurate simulation of the target system's speed on a variety of host system configurations, within the limitations and flexibility of the host environment.

Availability of a clustered system is determined by identifying all possible states of a cluster, mapping the connections between the states are mapped and determining the probability of the cluster being in each of the states is determined. Availability of the cluster is the sum of the probabilities of being in those states in which the cluster is at least partially available. Parameters affecting the availability of the cluster include the rates at which a cluster transitions from state to state, including the reciprocal of Mean Time To Fail, Mean Time to Fail-Over, Mean Time To Fail-Back and Mean Time To Restore. Availability of statefull and stateless clusters may be determined. Availability of clusters including any number of nodes (e.g., a Internet service) can be determined. In one embodiment of the invention, a target availability is determined and parameters are varied to determine the most efficient approach to reach the target availability.

The present invention provides an educational basketball game device, comprising a backboard which houses cheer lights outlining perimeter, a score display, a target, a hoop, and a sensor, an extendable pole which is made of two parts an upper part and a lower part, and a progress display made of several portions which illuminate game progress, and a baseboard which houses speakers, an extendable foul line and wheels. Also, the present invention provides a method for educating a game of basketball with an educational basketball game device. The educational method incorporates playing of recordings that cheer the player to make a shot, encourage the player to aim at target, motivate to keep practicing and getting the ball in the hoop. In addition, the educational method uses cheer lights to acknowledge success. Additionally, a visual display showing a cheering crowd of fans will light up when a goal is achieved.

The invention relates to an automatic obstacle avoidance method for intelligent underwater robots, in particular to a method for considering underwater robot moving objects and obstacles and underwater robot control performances integrally to achieve obstacle avoidance. The method comprises performing global path planning according to job tasks and chart database information; reading underwater robot motion sensor information and obstacle avoidance sonar information; calculating underwater robot safety alerting distances, and establishing a safe virtual outer casing of an underwater robot; determining whether obstacle avoidance is needed; and determining whether an object is reached, and the task is completed if the object is reached. According to the automatic obstacle avoidance method, effects of speed information of underwater robots are introduced in robot obstacle avoidance strategies, local obstacle avoidance planning and control and hydrodynamic performances of underwater robots are combined, established obstacle avoidance strategies can reflect dynamic obstacle avoidance capacities of underwater robots, and underwater robot survival capabilities are improved.

The present invention is a method and system for rating in-store media elements based on the measurement for behavior patterns and demographics of the audience in the vicinity of the media element, where a plurality of input images of the audience are captured by at least a means for capturing images in the vicinity of the media element. The input images are processed by automated video analytic algorithms in order to measure the behavior patterns and demographics of each person in the audience tied to the media element. The measurements for the behavior patterns and demographics of the audience from the target media elements are aggregated. A set of ratings for the media element is calculated based on the measurements. The measured media elements are sampled, and the audience measurement for the sample is extrapolated to other media elements for in-store locations or for a group of stores. The ratings are converted into a standardized output. The standardized output facilitates comparisons among a plurality of media elements. The rating can be used to plan media types in the media element for reaching targeted demographics.

To permit a person to take a power-striding most effective to be healthy the quantity of exercising is managed by using, in combination, bioelectrical impedance measuring means 110; personal data inputting means 120; body fat rate calculating means 130 for determining the body fat rate on the basis of the personal data and the value of bioelectrical impedance; target body fat rate setting means 140; target calorie consumption calculator means 150 for calculating the calorie consumption required to attain the target body fat rate; management period setting means 160 for setting a length of period required to attain the target body fat rate; healthful calorie consumption calculator means 170 for calculating the calorie consumption per day within the management period; walking calorie per minute calculating means 180 for calculating caloric quantity consumed by walking per minute in consideration of the individual basal metastasis; healthful exercise quantity calculating means 190 for calculating the healthful exercise quantity per day required to consume the healthful calorie per day; exercise quantity measuring means 200; calorie consumption per day calculating means 210 for determining the calorie consumption on the basis of the so measured exercise quantity; and healthful exercise quantity correcting means 220 for comparing the calorie consumption per day of the previous day with the target value of the present day and for converting any difference therebetween in terms of exercise quantity, thereby renewing the healthful exercise quantity of the present day.

A computer-based method and system of evolving a virtual molecule with a set of desired properties is described that begins with extracting fragments from existing molecules and labeling those fragments. Connectivity rules existing between the fragments in the existing molecules are determined followed by combining these fragments according to the connectivity rules. The molecules generated by the combination are evaluated and some are selected for modification. The evaluation and modification steps are repeated for the selected molecules until either 1) a target evaluation value is achieved or 2) the evaluation step has been performed a predefined number of times.

Systems, software, devices, and methods are disclosed for therapeutically heating a collagenous structural support tissue within a pelvic support system of a patient body. The present invention may monitor the delivery of energy and dynamically adjust the delivery of energy during the treatment so that an actual treatment time for reaching a target temperature falls within a desired treatment time range of reaching the target temperature. The present invention may also dynamically adjust the power level after the target temperature has been reached so that the tissue is held at the target temperature for a desired dwell time.

The invention provides an image processing method and device, a computer readable storage medium and an electronic device. The method comprises steps of constructing a first generative adversarial network and a second generative adversarial network, wherein the first generative adversarial network is associated with the second generative adversarial network. A first generator in the first generative adversarial network is used for generating a first image according to a first original image. A second generator in the second generative adversarial network is used for generating a second image according to a second original image. An image change loss function is constructed according to the first original image, the first image, the second original image and the second image. A loss function is constructed according the image change loss function. The first generative adversarial network and the second generative adversarial network are trained until the value of the loss function reaches a target value. Image processing is performed by use of the trained first generative adversarial network and the trained second generative adversarial network. According to the invention, transferring of image local features can be optimized; over-fitting is inhibited; and robustness is improved.