239 results about "Hill climbing" patented technology

A system and method for locating regions in a target image matching a template image with respect to color and pattern information. The template image is characterized with regard to pattern and color. A first-pass search is made using color information from the color characterization of the template image to find color match candidate locations preferably via a hill-climbing technique. For each color match candidate location, a luminance pattern matching search is performed, optionally using a hill-climbing technique, on a region proximal to the location, producing final match regions. For each final match region a hue plane pattern match score may be calculated using pixel samples from the interior of each pattern. A final color match score may be calculated for each final match region. A final score is calculated from luminance pattern match, color match, and possibly hue pattern match, scores, and the scores and sum output.

A cooling system for an internal combustion engine incorporating a heat accumulator to temporarily store heat during peak heat loads. In automotive vehicles, the heat accumulator may store excess heat generated during vehicle acceleration or hill climbing and it may dissipate stored heat during vehicle cruise, deceleration, or engine idle. The heat accumulator contains phase change material with a solid-to-liquid transition temperature higher than the normal operating temperature of the cooling system. The invention enables reducing the size and weight of engine cooling system without compromising its performance. This is particularly important for improving fuel economy and reduction of emission in automotive vehicles. In addition, the invention enables reducing the coolant inventory in the system thereby allowing for faster engine warm-up and reduced emissions of harmful pollutants during a cold engine start. The invention may be also used for thermal management of engine oil, transmission fluid, or hydraulic fluid.

A multiple speed automatic transmission having eight forward speeds and one reverse speed is realized by combining two simple planetary gear sets and one compound planetary gear set by five clutches and two brakes. Power is delivered efficiently and fuel consumption is enhanced due to the increased number of speeds of the automatic transmission. Step ratios of the eight forward speeds can harmonized so as to gradually decrease from the lower gear to the higher gear, thus shift-feel is be enhanced. Additionally, hill climbing ability in the reverse speed is also enhanced by increasing the speed ratio of the reverse speed.

The invention discloses a power system load data identification and recovery method. Firstly, according to user historical load data, the number of clusters and initial cluster centers of sample data are determined on the basis of the hill climbing method; secondly, the final cluster center and the characteristic curve of the historical load data are obtained on the basis of the fuzzy C-means clustering algorithm; thirdly, each kind of load characteristic curve is processed, and the feasible region interval where normal data of the load curve is located is obtained; fourthly, according to correlation coefficients with the load characteristic curves, the category to which a to-be-tested load curve belongs is determined; finally, on the basis of the feasible region interval and the to-be-tested load curve whose category is judged, bad data of to-be-tested load data is identified and corrected. According to the method, the fuzzy C-means algorithm serves as the basis, the hill climbing function method is used, the number of clusters and the initial cluster centers are determined at the same time to improve clustering efficiency, and the initial cluster center determination problem and identification effect judgment randomness problem of bad data are solved.

A control system for an automatic vehicle transmission which has auto-shifting means or auto-shift mode for determining a gear to be shifted to in accordance with predetermined gearshift scheduling characteristics in response to the detected vehicle speed and the engine load, and manual-shifting means or manual-shift mode for determining a gear to be shifted to in response to a manual-shift command generated by the vehicle driver. The system further includes auto-downshifting means or sub-auto-shift mode for determining a gear to be downshifted to if the detected vehicle speed is less than a threshold value when the manual-shifting means is in operation. In the system it is estimated whether the vehicle is hill climbing or hill descending, and the threshold value is increasing when the vehicle is hill climbing or descending. With the arrangement, it becomes possible to downshift before the drivability or driver's comfort is degraded during the hill climbing or descending.

The invention provides a segmentation self-adapting hill climbing method and a system thereof applied for tracing maximum power of a photovoltaic cell. The method comprises: finding the zone of the current power by partitioning the output power of the photovoltaic cell and comparing power difference of two adjacent moments with a set value; then, adjusting duty cycle to measure the power of the next moment until the maximum power point is found. The system of the invention comprises a photovoltaic cell, a DC/DC converter and a plumbic acid storage battery which are connected by circuits in sequence, wherein, a circuit between the DC/DC converter and the plumbic acid storage battery is provided with a voltage detecting module and a current detecting module, the output ends of the voltage detecting module and the current detecting module are respectively connected with a microprocessor, and the output end of the microprocessor is connected with the DC/DC converter via an isolation/ driving circuit. The invention quickens the tracing speed of the maximum power point, improves the anti-interference performance of the system, quickens the self-optimizing process of the maximum power point of the system and decreases the oscillation of the system at the maximum power point.

In one embodiment, the present invention is a method and apparatus for automatic system parameter configuration for performance improvement. One embodiment of the inventive method involves formulating a black box optimization problem, and solving the optimization problem using an enhanced smart hill climbing method. The smart hill climbing method includes both a global and a more precise local search to identify an optimal solution. In one embodiment, one or both of the global and local searches employs a weighted Latin Hypercube Sampling method in combination with importance sampling techniques to yield improved search results

The invention discloses a short-term electric load prediction method based on improved genetic algorithm for optimizing extreme learning machine. A hill climbing method is used to perform preferentialselection again in the progeny population, an initial individual is selected, another individual in a close area is select, their fitness values are compared, and one individual which has good fitness values is leaved. If the initial individual is replaced or a better individual cannot be found in several iterations, iteration is stopped, the search direction of the genetic algorithm through thehill climbing method is optimized, obtaining an optimal weight value and a threshold value, a network optimization prediction model are obtained, a network optimization prediction model is obtained, the network optimization prediction model and prediction results of BP network and the extreme learning machine are comparative analyzed, including selection of input and output of the prediction network model, algorithm of improved genetic algorithm for optimizing extreme learning machine, and analysis of prediction results. The short-term electric load prediction method based on improved geneticalgorithm for optimizing extreme learning machine has faster training speed and more accurate prediction results, and is suitable for modern short-term electric load prediction with plenty of influence factors and huge data volume.

A treadmill type exercise machine having an endless belt for simulating walking up a hill is provided. The exercise machine uses low impact walking motion, which is a favored exercise method while combining the extra effort of climbing without using the same muscle groups as a stair climbing exercise device. The treadmill is an improvement over level treadmills and inclined treadmills. The treadmill uses a cycle of 5 stages to accomplish the exercise. In the first stage the treadmill endless belt is flat, in the second stage the endless belt is moved into an inclined position, in the third stage the endless belt is raised while inclined to provide for simulated hill climbing while a person is walking on the endless belt. In the fourth stage the endless belt is leveled at a raised height. In the fifth stage the endless belt is lowered to the initial position.

The invention belongs to the technical field of photoelectricity product application, and particularly relates to a quick self-adaptation automatic focusing method. Accurate focusing of a thermal imager is achieved by computing the gradients of an image. A focusing area is selected according to a monitored target, a focusing motor is moved, the gradients of the image in the focusing area are calculated at the different positions, the motor is moved by comparing the gradients till the maximum gradient is obtained, and at that time, the motor position is the target clear imaging position. The quick self-adaptation automatic focusing method is mainly applied to an automatic focusing system of a thermal infrared imager, an area which is large enough is selected from a view field in a self-adaptation mode to serve as the focusing area, sceneries in the area have obvious edge and texture features, the imaging definition is evaluated through an improved laplace function, a search strategy is optimized, a constant step length and changeable step lengths are combined, an improved hill climbing method and a traversing search method are combined, the focusing rate is increased on the premise that the focusing precision is guaranteed, and quick and accurate automatic focusing of the thermal infrared imager is achieved.

A method and apparatus for the automatic creation of novel designs, specifically electronic circuits, controllers, antennas, and mechanical systems to satisfy prespecified design goals, using search procedures, such as genetic programming, genetic algorithms, simulated annealing and hill climbing is described. Further, the techniques include automatically creates designs which do not posses key characteristics of preexisting technology. The present invention uses a population of entities which may be evolved to generate structures that may potentially satisfy the design goals. The behavior of the structures is evaluated in view of the design goals, and the structures are compared to a preexisting structure. Those structures more closely meeting the design goals and not similar to the preexisting structure are favored further until a structure is generated that either meets the prespecified design goal or some other process completion criteria. In this manner, a novel structure may be obtained.

The invention relates to the technical field of job shop scheduling, in particular to an improved culture gene algorithm for solving a multi-objective flexible job shop scheduling problem. The algorithm comprises the following steps of performing process-based encoding; generating an initialized population; performing local search by a hill-climbing method; calculating fitness; judging whether an optimization criterion is met or not (if yes, generating an optimal individual and ending the algorithm, otherwise, executing the next step); performing selection; performing SPX crossover; performing mutation; performing local search by the hill-climbing method; generating a new-generation population; calculating fitness; and circulating the process. The algorithm is improved as follows: the local search is performed by utilizing the hill-climbing method, so that local optimum can be escaped for obtaining a better solution, and the calculation time can be shortened; and in addition, the crossover and mutation modes of the algorithm are improved, the SPX crossover method is adopted, and one of two methods of insertion mutation and replacement mutation is randomly selected for mutating individuals in the population by an equal probability Pm during mutation.

The invention relates to an automatic focusing method for an astronomical telescope and belongs to the technical field of spatial object detection of the astronomical telescope. The method comprises the following steps: acquiring a corresponding unimodal and monotonic image gray gradient evaluation function on a time domain according to energy distribution, which is accordant with a target image, of the frequency-domain characteristic of a point spread function for an optical system of the astronomical telescope and the Rayleigh energy conservation law; performing low-pass filtering on the evaluation function to obtain an ideal target energy concentration ratio evaluation function; and continuously adjusting the step length and the direction of a driving motor and searching a global maximum of the evaluation function to complete an entire automatic focusing process by using an optimized hill-climbing method. The method has the advantages of simpleness, easy realization and generality.

The invention relates to an automatic SUSAN (Smallest Univalue Segment Assimilating Nucleus) focusing method for a video monitoring system, which is used for maintaining a position of an optical lens invariable, and adjusting a target surface position of an image detector to an optimal imaging position along an optical axis. The method comprises the following steps that an improved SUSAN edge extraction algorithm is adopted to serve as a definition evaluation function in an automatic focusing process, and an adaptive variable step size hill climbing algorithm is adopted to serve as an optimal definition value position searching algorithm in the automatic focusing process. As an SUSAN operator is improved to serve as the definition evaluation function in the automatic focusing process, the automatic SUSAN focusing method for the video monitoring system has good unimodality, unbiassedness and keenness, and also has good noise immunity and good real time. When the method is applied to automatic focusing in the video monitoring system, the automatic focusing of the system can be realized quickly and accurately.

In an imaging device according to one aspect of the invention, an amplitude demand Ac is specified according to a wobbling amplitude Ai required for detection of a hill-climbing direction based on an F value and a wobbling amplitude Ag required for detection of the hill-climbing direction based on an AGC gain. An allowable amplitude Am set for preventing a potential image shake caused by a magnification change with a position shift of a compensator lens in wobbling is specified corresponding to a zoom position and an object distance. When Ac>Am, the control procedure restricts the wobbling amplitude to Am and increases a sampling number of AF evaluation values to be detected at respective positions in wobbling, in order to ensure the sufficient detection performance of the hill-climbing direction. When Ac□Am on the other hand, the control procedure sets Ac to the wobbling amplitude. This arrangement of the imaging device efficiently ensures the sufficient detection performance of the hill-climbing direction for autofocusing control, while effectively preventing deterioration of the quality of a captured image due to the magnification change in the wobbling motion.

The invention discloses a method for adaptively controlling the capacity of a thread pool and a method for concurring and controlling an application server, and belongs to the software technical field. The method for adaptively controlling the capacity of the thread pool is mainly achieved through a hill climbing algorithm; the method for concurring and controlling the application server comprises the following steps: constructing an adaptive concurrency control system according to the method for adaptively controlling the capacity of the thread pool, constructing a concurrent aspect library, and defining an abstract concurrency aspect and an abstract concurrency task processing class; developing a concurrent processing module based on the adaptive concurrency control system and the concurrent aspect library and according to the specific demands of the application server; and carrying out aspect weaving to embed the concurrent processing module into the application server. The invention achieves the decoupling between the application server and the concurrent control module, and provides an adaptive concurrency control mechanism for the application server.

The invention relates to the technical field of camera focusing, in particular to an automatic focusing method and device for a camera based on a defocus estimation improved hill climbing method. Thedefocus state of the camera can be regarded as a Gaussian blur state of an image. When the camera is in a quasi-focal state, the original image of a current frame image deviates greatly from a definition evaluation value of the Gaussian blurred image; when the camera is in the defocus state, the original image of the current frame image deviates little from the definition evaluation value of the Gaussian blurred image, and if the defocus depth is larger, the deviation of the definition evaluation value is smaller. Thus, the defocus depth of the current frame image can be expressed by calculating the deviation between the original image of the current frame image and the Gaussian blurred image of the current frame image, and the focusing step of the camera is adaptively adjusted according to the defocus depth, so that the quasi-focus position can be quickly arrived at on the premise that the focusing precision is ensured, and the problem that the speed and the precision of the camera are difficult to balance during focusing is solved.