Abstract: An illumination system (10) comprises: a lamp assembly (14) for generating color-variable light (17); a controller (15) for generating control signals (?1, ?2, ?3) for the lamp assembly; —source color input means (20), preferably a color sensor, for inputting to the controller information defining a source color; a memory (30) associated with the controller, containing information defining at least one color harmony rule. On the basis of the input source color, and using the harmony rule from the memory, the controller calculates a target color and generates its output control signals accordingly. Thus, the light output from the lamp assembly harmoniously matches the measured color of surroundings or objects.

Abstract: In one embodiment, ranking search results generated in response to search queries comprises: receiving, a search query from a user; identifying a plurality of network contents in response to the search query; determining one or more ranking criteria for the search query; presenting the ranking criteria to the user; receiving from the user one or more weights assigned to one or more of the ranking criteria; ranking the identified network contents based on the ranking criteria and the weights; and presenting the network contents to the user in an order according to their ranking.

Abstract: A degree of nonlinearity based on intra-wave frequency modulation is proposed here with the value substantially between 0 and 1. The degree of nonlinearity is used for obtaining the state rather than a system. The data required for defining the degree of nonlinearity is the state of the motion or the observed data. For a complicate state with more than one IMF containing prominent energy density, the degree of nonlinearity has also considered the amplitude variations. The combination of the intra-wave frequency modulation and the amplitude variation gives the Combined Degree of nonlinearity. With the definitions of degree of nonlinearity, the nonlinearity characteristic can be quantified, and the discussion of nonlinear effects could be conducted more precisely.

Abstract: A programmable lighting control system integrates time-based, sensor-based, and manual control of lighting and other loads. The system includes one or more groups of controlled lighting areas, which may be, for example, floors of a building. Each group may have one or more lighting zones, which may be, for example, individual rooms or offices on a building floor. Each lighting zone includes occupancy and/or daylight sensors that may be wirelessly coupled to a gateway of the group. Each gateway is coupled to a network, such as, for example, a local area network (LAN). Control software, residing on a computer (e.g., a personal computer or a server) coupled to the network and accessible via the network, remotely communicates with and controls the lighting zones either individually, groupwise, or globally. Each lighting zone can also be locally controlled at the gateway and can function independently of the control software and the gateway.

Abstract: A method of classifying an item to one of a plurality of groups includes providing a plurality of predictors associated with the item. For each predictor, the item is assigned to one of the groups. An assignment number is determined for each group. The item is classified to one of the groups based on the assignment number for each group.

Abstract: A system for editing sheet metal components using a computer, comprising a sheet metal object having graphic element data defining the graphic elements of a sheet metal and connection data defining face data comprising graphic elements and linkage of the faces, wherein the sheet metal object includes a sheet metal edition object corresponding to editing of a sheet metal, e.g., editing of butting or lapping of sheets, and the burden is lessened by automating reformation at the butting or lapping part of the sheet metals.

Abstract: According to an automaton circuit, a pattern matching apparatus, and a pattern matching method of the present invention, by converting regular expressions into configuration data with the certain format, the regular expression, which can be expressed by using only 3 kinds of metacharacters and can be expressed within a certain length, can be input. Since connection relations inside the automaton circuit are changed depending on the configuration data, the automaton circuit according to the present invention is reconfigurable.

Abstract: Systems and methods for detecting people in video data streams or image data are provided. The method includes using a plurality of training images for learning spatial distributions associated with a plurality of body parts, detecting a plurality of detections of body parts in an input image, clustering the detections of body parts located within a predetermined distance from one another to create one effective detection for each cluster of detections, and determining a position of each person associated with each effective detection. The detections of body parts can be associated with respective previously learned spatial distributions.

Abstract: Described herein is a framework for analyzing data in high-dimensional space. In accordance with one implementation, observed data and at least one input model parameter set is received. The input model parameter set serves as a solution candidate of a predefined problem (e.g., inverse or optimization problem) and is related to the observed data via a model. To provide enhanced computational efficiency, a reduced base with lower dimensionality is determined based on the input model parameter set. The reduced base is associated with a set of coefficients, which represents the coordinates of any model parameter set in the reduced base. Sampling is performed within the reduced base to generate an output model parameter set in the reduced base. The output model parameter set is compatible with the input model parameter set and fits the observed data, via the model, within a predetermined threshold.

Abstract: A programming apparatus has a parameter storage section for storing parameters related to the operation control of an operating mechanism of an NC machine tool, a CL data storage section for storing CL data including data relating to a moving position of a tool and machining conditions, an NC program generating section for referring to the parameters in the parameter storage section, and generating an NC program form the CL data in the CL data storage section, and NC program storage section for storing the generated NC program. The NC program generating section checks whether the machining condition data included in the CL data is suitable by referring to the parameters, and, when it is not suitable, corrects the machining condition data using the parameters and then generates an NC program based on the CL data in which the corrected machining condition data is included.

Abstract: Embodiments of methods and systems for monitoring of pumps are provided. According to one embodiment of the invention, there is disclosed a method for determining operating states of pumps. The method may include receiving, by a controller from a first sensor communicating with a first pump, a first vibration measurement. Further, the method may include receiving, by the controller from a second sensor communicating with a second pump, a second vibration measurement. Operating states of the first pump and the second pump may be thus determined based at least in part on comparing the first vibration measurement to a first operating condition and comparing the second vibration measurement to a second operating condition. A control action may be transmitted responsive to determining the respective operating states of the first pump and the second pump.

Abstract: A position control apparatus includes a detecting unit configured to detect a position of a control target, a subtracting unit configured to subtract an output of the detecting unit from a target value, an iterative learning control circuit including a filter into which a deviation between the output of the detecting unit and the target value is input, where the iterative learning control circuit feeds forward a control input to the control target, and a parameter computing unit configured to compute a variation in a parameter of the control target. A characteristic of the filter is changed in accordance with the variation in the parameter of the control target.

Abstract: A search device and associated methods use music emotions to browse, organize and retrieve music collections. The search device comprises a processor and an interface. The processor uses machine learning techniques to determine music emotion according to music features and organizes music by emotions for browsing and retrieving music collections. The interface connects to the processor and allows a person to retrieve desired music from the processor. Methods associated with the search device comprise a processor initialization method, a method of loading new music into the search device and several methods of retrieving desired music from the search device.

Abstract: A content rewriting system is described herein that allows web site administrators to setup rewriting of web responses in an easy and efficient manner. The system provides a configuration schema and an efficient workflow that enables web administrators to easily setup rules to modify HTML or other content without having a high performance penalty or losing flexibility. The content rewriting system applies regular expressions or wildcard patterns to a response to locate and replace the content parts based on the rewriting logic expressed by outbound rewrite rules. The system parses an initial response generated by a web application, applies one or more outbound rules to rewrite the response, and provides the rewritten response to a client that submitted a request for the response.

Abstract: A method and a computer-readable storage medium configured with instructions that when executed to carry out the method, and a computer system configured to carry out the method. The method includes storing a set of rules in computer-interpretable form in a processing system. The rules allow the expression of a range of possibilities for determination of recognition of items of content and a wide range of actions to take when such determination is made. Using the rules, a processing system can recognize content and possibly act on the recognition results, the recognition and acting according to the stored set of rules.

Abstract: A system, method, and medium are provided for resource validation. A resource to be loaded within a machine is associated with a digital certificate. The digital certificate's validation is at least partially dependent on an access key included within a BIOS of the machine. When the digital certificate is successfully validated, the resource is permissibly loaded within the machine for subsequent execution.

Abstract: A system and method for traffic prediction based on space-time relation are disclosed. The system comprises a section spatial influence determining section for determining, for each of a plurality of sections to be predicted, spatial influences on the section by its neighboring sections; a traffic prediction model establishment section for establishing, for each of the plurality of sections to be predicted, a traffic prediction model by using the determined spatial influences and historical traffic data of the plurality of sections; and a traffic prediction section for predicting traffic of each of the plurality of sections to be predicted for a future time period by using real-time traffic data and the traffic prediction model. An apparatus and method for determining spatial influences among sections, as well as an apparatus and method for traffic prediction, are also disclosed.

Abstract: Some embodiments of implementing left and right unlinking for a shared knowledge base in an exemplary rule engine have been presented. A rule engine can create a network to evaluate a set of rules in a knowledge base. The network includes at least one multiple-input node, such as a beta node having two inputs. The rule engine may process data in multiple sessions simultaneously using the network. The rule engine may further logically unlink a first node in the network from a second node in the network for a first session while keeping the first node linked to the second node for a second session.

Abstract: One embodiment accesses a binary decision diagram (BDD) representing a function having n variables, where n?2, wherein the BDD comprises n layers corresponding to the n variables, respectively; and reorders the n variables of the BDD by iteratively and alternating reordering k consecutive layers, where 1<k?n, until a size of the BDD has reached a desired threshold, wherein each iteration comprises: selects k consecutive layers from the n layers, wherein the k consecutive layers selected during a current iteration differ from the k consecutive layers selected during a previous iteration immediately preceding the current iteration; determines a locally optimum variable order of the k consecutive layers; and reorders the k consecutive layers according to the locally optimum variable order of the k consecutive layers.

Abstract: Disclosed is an exemplary multiple hypothesis engine that provides situation assessment capabilities regarding cyber auto tactics techniques and procedures. Dynamic cyber adversarial operations are evaluated via a combination of techniques using a Bayesian multiple hypothesis tree, or graph, as a framework. A top-down probability propagation mechanism solves different aspects of the problem in a round-robin fashion. The top-down probability propagation mechanism comprises the Hypothesis Refinement Engine. A model-based abductive reasoner comprising The Hypothesis Validator is used to confirm or refute the refined hypothesis. A model-based learning engine comprising Behavior Model Trainer is used to incrementally augment the knowledge base of behavior models as new adversarial TTPs are discovered. These three techniques behave in a cooperative manner by operating upon the Bayesian multiple hypothesis tree framework.