Patent application number | Description | Published |
20090278726 | Method and Apparatus for Representing and Classifying Microwave Back-Projection Radar Signals - A moving object is classified by transmitting, by a linear array of transmit antenna elements, a microwave into a surveillance area. A scattered microwave backprojected from a moving object is received by a linear array of receive antenna elements. Features are extracted from the scattered microwave related to a spiral evolution of the scattered microwave. The moving object is then classified as one of a set of possible classes according to the extracted features, and an alarm signal can be generated indicating the selected class. | 11-12-2009 |
20100083095 | Method for Extracting Data from Web Pages - Embodiments of the invention describe a computer-implemented method for extracting data from web pages. During a learning stage, the embodiments receive a template web page represented by a template Document Object Model (DOM) and select a record node, which is a root node of a sub-tree of the template DOM that contains data to be extracted. After that, a record node sub-tree and data field sub-paths are stored in a memory, wherein the record node is a root node of the record node sub-tree, and the data field sub-paths are relative paths of the template DOM from the record node to data field nodes. During the extraction stage, a web page represented by a DOM-tree is received and a matched sub-tree of the DOM-tree according to a structure of the record node sub-tree is identified. Next, data from the matched sub-tree according to the data field sub-paths are extracted. | 04-01-2010 |
20100094783 | Method and System for Classifying Data in System with Limited Memory - Embodiments of the invention describe a method for classifying data in a system with limited memory. The method applies exemplar learning (EL) procedures to a training data set to produce an exemplar data set adapted to the size of the memory. The EL procedure is selected form a group consisting of an entropy based exemplar learning (EBEL) procedure and an advanced broadband enabled learning (ABEL) procedure. The exemplar data set is used to classify acquired by the system data. | 04-15-2010 |
20110016070 | Method for Predicting Future Environmental Conditions - An average environmental condition for a specified target date and time is determined by indexing a database of time series data to retrieve the environment condition for each day and time where an orbital position of the earth with respect to the sun is nearest to the orbital position of the earth on the target date and time. The average environmental condition is then determined from the retrieved environmental conditions. | 01-20-2011 |
20110161258 | Method for Converting Dynamical Systems with Continuous States into Markov Decision Processes with Discrete States - A continuous dynamical system is converted to a Markov decision process (MDP) with discrete states. A predetermined number of continuous states of the continuous system is selected, wherein each continuous state corresponds to one discrete state of the MDP. Delaunay triangulation is applied to the continuous states to produce a set of triangles, wherein vertices of each triangle represent the continuous states. For each discrete state, a next discrete state y=f(x, a) is determined, wherein x represents the continuous state corresponding to the discrete state, a is a control action, and f is a non-linear transition function for the continuous. A particular triangle containing the next discrete state y is identified, and the next discrete state y is expressed as probabilities of transitioning to the discrete states corresponding to the continuous states x represented by the vertices of the particular triangle. | 06-30-2011 |
20120310608 | Method for Scheduling Power Generators Based on Optimal Configurations and Approximate Dynamic Programming - A unit commitment problem is solved for a set of generators with a set of configurations having a set of 2 | 12-06-2012 |
20140244059 | Method for Optimizing Power Flows in Electric Power Networks - Power flow in an electric power network is optimized during multiple time periods of operation of the electric power network by solving an optimization problem represented by an objective function by first initializing variables and constraints of a branch and bound (BB) tree, wherein nodes in the BB tree represent feasible regions of the optimization problem. Upper and lower bounds on the objective function are solved using the BB tree. A lowest upper bound and a lowest upper bound are updated. If difference between the lowest lower bound and the lowest upper bound is less than a threshold, the power flow is outputted based on the lowest lower bound and the lowest upper bound. | 08-28-2014 |
20140358508 | Method for Optimizing HVAC Systems in Buildings Using Nonlinear Programming to Maximize Comfort for Occupants - A heating, ventilation and air-conditioning (HVAC) system for a building is optimized while maximizing a comfort of occupants and minimizing energy consumption. The building is modeled as a network of nodes and edges, wherein the nodes represent rooms, and the edges represent walls. Dynamics of temperatures and humidity in the rooms and the temperature of the walls and the building are modeled using differential equations and the network. The comfort of the occupants is modeled by a predicted mean vote (PMV). The minimizing is formulated as an optimal control problem, which is discretized using an integration technique to obtain a finite dimensional optimization problem. Then, the finite dimensional optimization problem is solved using sparse linear algebra until convergence. | 12-04-2014 |