Abstract: Logic circuits provide networks to simulate the functions of neural networks of the brain, and can discriminate degrees of state, and combinations of degrees of state, corresponding to a number of neurons. Logic circuits comprise Recursive AND NOT Conjunctions (RANCs), or AND NOT gates. A RANC is a general logic circuit that performs conjunctions for 2n possible combinations of truth values of n propositions. The RANCs function dynamically, with capabilities of excitation and inhibition. Networks of RANCs are capable of subserving a variety of brain functions, including creative and analytical thought processes. A complete n-RANC produces all conjunctions corresponding to the 2n possible combinations of truth values of n propositions.

Abstract: According to one embodiment, an action history search device receives an inquiry from a user and outputs a inquiry time and a target of inquiry, decides a range for searching action history information representing history of the user's action together with a time of the user's action using the target of inquiry, and calculates an elapsed time from the time of the user's action within the range to the inquiry time. The device judges using the elapsed time and a narrowing-down model a probability on each response candidate to the inquiry based on the history of the action within the range. The narrowing-down model is used for judging according to the elapsed time the probability that the response candidate to the inquiry obtained from the history of the action is the user's desired response. The device outputs the response candidate according to the probability.

Abstract: Described is a behavior recognition system for detecting the behavior of objects in a scene. The system comprises a semantic object stream module for receiving a video stream having at least two frames and detecting objects in the video stream. Also included is a group organization module for utilizing the detected objects from the video stream to detect a behavior of the detected objects. The group organization module further comprises an object group stream module for spatially organizing the detected objects to have relative spatial relationships. The group organization module also comprises a group action stream module for modeling a temporal structure of the detected objects. The temporal structure is an action of the detected objects between the two frames, whereby through detecting, organizing and modeling actions of objects, a user can detect the behavior of the objects.

Abstract: A mine line detection method to identify mine-like contacts (MLCs) that fit into mine line patterns dictated by standard mine laying protocol. In general, MLCs define a minefield where the minefield has both mines and false alarms. The method classifies every MLC into one of three classes: fixed—a mine line pattern with fixed mine spacing; random—a mine line pattern with random mine spacing; or false alarm—the MLC does not fit into a mine line pattern and is not considered a mine. The method requires no knowledge of either the sensor probability of detection (Pd) or probability of false alarm (Pfa); nonetheless, it significantly improves both. A nonparametric anomaly detector identifies regions with unusually high MLC density for more detailed analysis. Suspected regions are analyzed for unusually regular patterns of MLCs. Probabilities that the observed target densities and target patterns could occur by chance are estimated.

Abstract: Improved equivalent circuits and circuit analysis using the same for a multilayer capacitor are provided. In one aspect, the equivalent series capacitance C and part of the equivalent series resistance R of a basic equivalent circuit for a multilayer chip capacitor are replaced with a capacitance CO, and capacitances Cm and C1 and the resistance Rc1 to take into consideration abnormal characteristics in electromagnetic distribution that occur at the corners and edges of the internal electrodes in the multilayer chip capacitor. In one aspect, additional circuit elements, such as resistances Rp1 and Rp2, the capacitance Cp, the inductances Lm and L1, and the resistance RL1, are provided to take into consideration the skin effects of the internal electrodes within the multilayer chip capacitor, electromagnetic proximity effects, losses and parasitic capacitance of the dielectric material, as well as parasitic inductance of the external electrodes.

Abstract: An input feature vector is computed from an input text record, the input feature vector comprising one or more features, each feature including a subsequence of characters and a frequency of occurrence of the associated subsequence. A input fingerprint is generated out of the input feature vector by choosing one or more features with non-zero frequencies and alphabetizing the features chosen. One or more input indices are generated by alphabetizing features in the input fingerprint and concatenating features occurring in subsequent locations of the input fingerprint. The input text record is matched against a target text record if (1) one or more of the input indices match a target index corresponding to the target text record and (2) the corresponding input fingerprint matches a target fingerprint corresponding to the target text record. The target text record is outputted as a search result if it matches the input text record.

Abstract: A language-processing system has an input for language in text or audio, as a message, an extractor operating to separate words and phrases from the input, to consult a knowledge base, and to assign a concept to individual ones of the words or phrases, and a connector operating to link the concepts to form a statement. In some cases there is a situation model updated as language is processed. The system may be used for controlling technical systems, such as robotic systems.

Abstract: A fuzzy, or ambiguous, keyword searching process and systems for implementing the fuzzy keyword searching process are provided. In general, one or more keyword search terms are first identified for a search. Next, a user is enabled to adjust a logical fuzziness, or logical ambiguity, for each of the one or more keyword search terms. As used herein, logical fuzziness of a keyword search term refers to the extent to which associated keywords are considered for the search. In one embodiment, the user may also be enabled to view and adjust keyword associations for each of the keyword search terms. A search is then performed based on the one or more keyword search terms and the logical fuzziness of the one or more keyword search terms, and results of the search are presented to the user.

Abstract: A robotic system includes a humanoid robot with multiple compliant joints, each moveable using one or more of the actuators, and having sensors for measuring control and feedback data. A distributed controller controls the joints and other integrated system components over multiple high-speed communication networks. Diagnostic, prognostic, and health management (DPHM) modules are embedded within the robot at the various control levels. Each DPHM module measures, controls, and records DPHM data for the respective control level/connected device in a location that is accessible over the networks or via an external device. A method of controlling the robot includes embedding a plurality of the DPHM modules within multiple control levels of the distributed controller, using the DPHM modules to measure DPHM data within each of the control levels, and recording the DPHM data in a location that is accessible over at least one of the high-speed communication networks.

Abstract: Circuits that solve stochastic problems and techniques for operating them. These natively stochastic circuits may produce samples from probability distributions of interest for particular stochastic problems, and may be combined together in any suitable way to yield potential solutions to stochastic problems. In some implementations, the stochastic circuits may generate samples from conditional probability distributions conditioned on input data provided to the stochastic circuits. The circuits may be constructed from multiple interconnected stochastic subcircuits such that a circuit may produce a sample from a joint probability distribution, or from a marginal distribution of a joint distribution. These circuits may be used to implement stochastic sampling algorithms to solve stochastic processes, and may include stochastic subcircuits that operate concurrently.

Abstract: Methods and systems to modify the number and/or positioning of advertisements presented to a user based on that user's activity patterns (e.g., previous queries, query result selections, ad selections, etc.) and the order in which events constituting the activity patterns occurred. For example, the methods and systems can be based on a Markov model utilizing the user's activity patterns.

Abstract: A method for monitoring the sensors in a vehicle control system. The method includes identifying a plurality of potential faults, identifying a plurality of measured values, and identifying a plurality of estimated values based on models in the control system. The method further includes identifying a plurality of residual error values as the difference between the estimated values and the measured values. The method also defines a plurality of fuzzy logic membership functions for each residual error value. The fuzzy logic membership functions are adaptive in that they change depending on the vehicle operating region, i.e., the non-linearity level of the vehicle, and the vehicle operating conditions, i.e., steady state verses transients. A degree of membership value is determined for each residual error value based on the membership functions. The degree of membership values are then analyzed in a fuzzy logic reasoning system to determine whether a potential fault exists.

Abstract: Methods and apparatus for classifying data for use in data fusion processes are disclosed. An example method of classifying data selectively groups nodes of a classification tree so that each node is assigned to only one of a plurality of groups and so that at least one of the groups includes at least two of the nodes. Data is classified based on the classification tree and the selective grouping of the nodes, and the results displayed.

Abstract: A system and method for an entropy-based near-match analysis identifies target files that are almost, but not identical, to a reference file. A computing processor computes entropies of the reference and target files, and determines the likeness of the target files to the references file based on the computed entropies. The computing processor determines a near match between the target file and the reference file if the likeness of the two files is within a user-defined tolerance level. According to one embodiment of the invention, the information entropy is a weighted value that takes into account the size of the file.

Abstract: A system for controlling abnormal traffic based on a fuzzy logic includes: an intrusion detection module for analyzing packets incoming from a network interface by means of a membership function defined based on a specific period of time, and outputting a fuzzy value representing a degree of a port scan attack; a fuzzy control module for recognizing the degree of the port scan attack based on the fuzzy value and outputting a control signal for traffic control according to the recognized degree of the port scan attack; and an intrusion blocking module for receiving the control signal and controlling the traffic with the network interface.

Abstract: A software development service offering of constructing and embedding feedback control based algorithms into computer systems management software applications is delivered by a provider entity to a client organization. The provider is contracted by the client to prepare a set of control modeling assets based on identified computing system management problems and goals of the diem and to create a set of control solutions. Bi-directional links between the problems, assets and solutions are used by the provider to develop feedback control based algorithms that solve the identified client computing management problems and meet the client's computing system goals.

Abstract: Methods, computer-readable media, and systems are provided for the detection of propagating phase gradients using model field theory of non-Gaussian mixtures. One embodiment of the invention is directed to a method for identifying phase cones in a data set. The method includes generating an initial set of values of parameters (?A,?A,tA) for a preset number of cones, initializing a covariance matrix with high values, evaluating the ratio of volume of a phase cone over total observed space-time volume, comparing the data set with a model, estimating a class probability density function, and generating a revised set of values of parameters (?A,?A,tA).

Abstract: Methods and apparatus for determining whether a media presentation device is in an on state or an off state are disclosed. A disclosed example method comprises determining first and second characteristics of a signature associated with a signal representative of media content presented via a media presentation device, evaluating the first and second characteristics to determine first and second fuzzy contribution values representing, respectively, degrees with which the first and second characteristics correspond to the media presentation device being in at least one of an on state or an off state, determining a third fuzzy contribution value based on a number of the first and second contribution values indicating the media presentation device is in one of the on or off states, and combining the first, second and third fuzzy contribution values for use in determining whether the media presentation device is in the on state or the off state.

Abstract: A knowledge-based decision support system that allows for communication and learning to occur using natural language is presented. The system has a capability to automatically extract features from the natural language using symmetric reductions and random search. The iterative generalization of the rule base and checking of the resultant base against a case base from which the generalizations are induced is also provided. The decision support system can be used to search semi-structured databases and automatically learns new knowledge and search control knowledge where it is most needed based on the pattern of previous rule firings.

Abstract: A method to add expression level fuzzy rule processing capability to existing crisp rule engine without requiring extensive modifications to such rule engine. A system and computer implemented method receive a data set at a crisp rule engine. If the data set involves a fuzzy rule, a callback to a fuzzy rule broker is done. The fuzzy rule broker selects one of multiple tailored processing modules for processing the fuzzy rule. The result of processing the fuzzy rule may be converted to a crisp result and returned to the crisp rule engine.

Abstract: Embodiments herein provide a method, computer program product, etc. of measuring a large population of web pages for compliance to content standards that require human judgment to evaluate. The method performs an automated analysis of a web space, comprising gathering information about structure and content of the web space. The performing of the automated analysis further comprises creating first data and second data. Specifically, the creating of the first data comprises creating page-relationship data based on a directory tree structure of servers in the web space or link distances amongst pages in the web space. The creating of the second data comprises analyzing web page content, comprising creating compliance-indicating data and/or content structure data for pages in the web space. In addition, the performing of the automated analysis can comprise performing the automated analysis on a web space that lacks objective standards violations that can be identified using software.

Abstract: A load fuzzy modeling device for the power system based on the causality diagram, the composite cloud generator and the improved T-S fuzzy model, comprising: a hardware device, including: the sensors, a signal conditioning and filter module, an A/D conversion module, a causality conversion module, a DSP module, a memory module, a display and keyboard module connected with the DSP module, respectively and a communication module connected with the PC.

Abstract: A method for predicting cycle time comprises the steps of: collecting a plurality of known sets of data; using a clustering method to classify the known sets of data into a plurality of clusters; using a decision tree method to build a classification rule of the clusters; building a prediction model of each cluster; preparing data predicted set of data; using the classification rule to determine that to which clusters the predicted set of data belongs; and using the prediction model of the cluster to estimate the objective cycle time of the predicted set of data. Therefore, engineers can beforehand know the cycle time that one lot of wafers spend in the forward fabrication process, which helps engineers to properly arrange the following fabrication process of the lot of wafer.

Abstract: Methods, systems, and devices for providing one or more virtual networks for a plurality of services are disclosed. The device may include a secure access node coupled to a wide area communication network and a premises communication network. The secure access node may have a node software platform, one or more node processors, a node storage device, and one or more node communication interfaces. Further, the secure access node may receive a plurality of data packets through one of the one or more node communication interfaces. The node software platform may execute on one of the node processors and may include a node deep packet inspection engine, a node rules generation engine, a node rule check and notification generation engine, a node service segregation engine, a node communication software application, and a node service adapter software application.

Abstract: Outlier detection methods and apparatus have light computational resources requirement, especially on the storage requirement, and yet achieve a state-of-the-art predictive performance. The outlier detection problem is first reduced to that of a classification learning problem, and then selective sampling based on uncertainty of prediction is applied to further reduce the amount of data required for data analysis, resulting in enhanced predictive performance. The reduction to classification essentially consists in using the unlabeled normal data as positive examples, and randomly generated synthesized examples as negative examples. Application of selective sampling makes use of an underlying, arbitrary classification learning algorithm, the data labeled by the above procedure, and proceeds iteratively.

Abstract: A method for scheduling and usage of bandwidth wherein data is transmitted to an artificial intelligence model for analysis and assigned a ranking. An event resource allocation model analyzes the ranking and determines how to compress the associated video. The event resource allocation model also determines when to compress the remotely stored video and transmit to a central data center where the video may be reviewed.

Abstract: A clothes dryer has a degree of dryness control system that is responsive to moisture level of clothing articles tumbling in a drum and a target moisture value to control the drying cycle of the clothes dryer. The clothes dryer has a load size parameter producing module and an air flow detection parameter module. These modules generate one of two parameter conditions used by the processor to modify or select an appropriate moisture target value. The load size producing parameter module generates one of a small load input parameter and a large load input parameter. The air flow detection module produces one of a first and second air flow parameter to be utilized by the degree of dryness processor. As a result, the processor selects one of four target moisture values from these conditions.

Abstract: Systems and methods that incorporate fuzzing capabilities within an SQL server to facilitate penetration testing. A fuzzing component associated with the SQL server provides an entry point for accessing the fuzzing system to update explicit user specified parameters associated with SQL, wherein the server's in depth knowledge regarding semantics of the language code (e.g., manner of parsing) can be employed to determine vulnerabilities thereof.

Abstract: A support structure for a clothes dryer comprising modular units for receiving functional parts and an air duct components. The modular units are incorporated into the support structure. The inventive support structure for stabilizing the clothes dryer comprises a front part in the form of a combined body provided with an end shield, a front wall, a base module on the bottom side comprising a base body and a process air lid, a rear module comprising the rear wall, a heating device and a cover. The joining surfaces between the modular units are located on a vertical plane. Connections are constructed in such a way that they are devoid of sealing elements which are currently used for joining surfaces. With respect to known embodiments, the inventive clothes dryer structural design is producible with a low material consumption and, in general, can be produced in a more rational manner.

Abstract: Automigration mechanisms having fuzzy-logic based automigration control mechanisms for implementing control schemes controlling start, stop and/or bandwidth of the automigration process are provided. The automigration control mechanisms read, into a memory of an automigration controller circuit, configuration parameters characterizing the hardware and software properties of the source storage and target storage, and that of the network connection between them. The mechanisms further derive fuzzy variables from the values of the input variables and of the configuration parameters. The mechanisms further provide a predetermined fuzzy function with the fuzzy variables, where the fuzzy function reflects the exhaustion level of the source executing the fuzzy function yielding a fuzzy result value. The mechanisms apply the fuzzy result value to one of the control schemes, yielding a control result. The mechanisms control the start, stop, and/or bandwidth of the automigration of data by aid of the control result.

Abstract: A modular representation of a physical system is generated using modules and variables, each module representing a portion of the physical system, each variable representing a parameter of the physical system. Code is generated according to the modular representation such that the code is suitable to be compiled into a machine code that can be executed on hardware to simulate the physical system. The code contains instructions to cause the hardware to solve a system of differential algebraic equations that represent relationships among the variables.

Abstract: A method for aligning documents which may be in different XML formats includes inputting source and target leaves of a source and documents in first and second tree structured formats and assigning a cost to each of a plurality of matches. Each match may include a source leaf and a target leaf or be an unmatched source or target leaf. Matches are identified for which a total cost is minimal, wherein each of the leaves is in at least one of the identified matches. From the identified matches, groups of two or more matches are identified which have a leaf in common. From the groups, probable matches are identified in which more that one target leaf is matched with at least one source leaf or more than one source leaf is matched with a target leaf. An alignment between leaves of the target document and leaves of the source document is output which includes the probable matches.

Abstract: A multipurpose hemofiltration system and method are disclosed for the removal of fluid and/or soluble waste from the blood of a patient. The system continuously monitors the flow rates of drained fluid, blood, and infusate. When necessary, the pumping rates of the infusate, drained fluid and blood are adjusted to remove a preselected amount of fluid from the blood in a preselected time period. A supervisory controller can monitor patient parameters, such as heart rate and blood pressure, and adjust the pumping rates accordingly. The supervisory controller uses fuzzy logic to make expert decisions, based upon a set of supervisory rules, to control each pumping rate to achieve a desired flow rate and to respond to fault conditions. An adaptive controller corrects temporal variations in the flow rate based upon an adaptive law and a control law.

Abstract: A method and apparatus are disclosed for monitoring all levels of information technology and computing resources from low-level hardware up to enterprise level applications and their relation to business processes and business services, and alerting responsible personnel by giving them decision support by visual feedback using color cross-fading graphical objects showing parameter status and monitored resource status multi-colored by a scheme, which is determined by applying fuzzy logic to the raw monitored indicator parameter values and derived or propagated status attributes and by triggering events derived from fuzzy logic based analysis of raw measured parameter values and derived or propagated status attributes and raw events raised outside the apparatus.

Abstract: The present invention provides an optical functional sheet and a display device that are capable of keeping a given degree or more of front luminance and are capable of substantially reducing brightness nonuniformity. To this end, the optical functional sheet has a base 3, and prisms 4 arranged in a lattice pattern on at least one surface 3a of the base 3, wherein each of the prisms 4 has two bottoms L1 parallel to a first direction D1, two first inclined surfaces S1 that are inclined so as to face each other, two bottoms L2 parallel to a second direction D2 that is substantially perpendicular to the first direction D1, and two second inclined surfaces S2 that are inclined so as to face each other, and the area Ss2 of one of the second inclined surfaces S2 to the sum S2s1 of the areas of the two first inclined surfaces S1, or the area Ss1 of one of the first inclined surfaces S1 to the sum S2s2 of the areas of the two second inclined surfaces S2 is more than 0.5 times to 2.5 times or less.

Abstract: Quality of Service (QoS) and/or bandwidth allocation can be provided for interactive gaming via a Regional/Access Network (RAN). The RAN can provide end-to-end transport between a Gaming Application Service Provider (GASP) and a Customer Premises Network (CPN) that includes a Routing Gateway (RG). Quality of Service (QoS) and/or bandwidth allocation can be provided by determining different levels of subscription service for different subscribers to an interactive game between a plurality of participants. Different QoS and/or bandwidth allocations can be provided to different gaming traffic flows associated with the different subscribers to the interactive game based on the different levels of subscription service of the different subscribers.

Abstract: The invention is a system for remotely conducting psychotherapy between a client having and a therapist over the internet. The system includes a first web enabled computer device operated by the client, said first computer device having a web browser and being operatively coupled to the Internet. The system further includes a second web enabled computer device operated by the therapist, said second computer device having a web browser and being operatively coupled to the Internet. The system also includes a server operatively coupled to the Internet and a web server application resident on the server and a web site resident on the server. The web server application is operatively coupled to a private web based chat application, said chat application being activated by the client by engaging a first link on the web site.

Abstract: Documents to be accessed over a computer network are stored in network data storage such that each document is associated with a document archive and a task is associated with each stored document. An escalation list is created for each task and is associated with the document archive so as to specify an ordered list of escalation items to be satisfied until fulfillment of the task. When a parameter associated with each escalation list item has been satisfied, process operations associated with the next escalation list item are performed. Fulfillment of the task results in appending a verification of task fulfillment to the document archive.

Abstract: A data structure, method, storage medium and logic arrangement are provided for use in collecting and analyzing multilinear data describing various characteristics of different objects. In particular it is possible to recognize an unknown individual, an unknown object, an unknown action being performed by an individual, an unknown expression being formed by an individual, as well as synthesize a known action never before recorded as being performed by an individual, synthesize an expression never before recorded as being formed by an individual, and reduce the amount of stored data describing an object or action by using dimensionality reduction techniques, and the like.

Abstract: A method for scheduling and usage of satellite bandwidth wherein data is transmitted to an artificial intelligence model for analysis and assigned a ranking. An event resource allocation model analyzes the ranking and determines how to compress the associated video. The event resource allocation model also determines when to compress the remotely stored video and transmit via satellite to a central data center where the video may be reviewed.

Abstract: An instability avoidance module that can be implemented in SISO PID control loops to automatically adjust the controller's tuning parameters when undesired oscillatory behavior is monitored. This module is a Fuzzy-based Supervisor composed of a dynamic parameter identification module that operates on-line, and a Fuzzy Inference System (FIS) with fuzzy rules to modify PID tuning. Tests in nonlinear process models were performed, demonstrating that this Fuzzy Supervisor—Type 1 (non-intrusive) provides the PID controller the ability to adapt its tuning to eliminate the observed oscillatory behavior.

Abstract: Disclosed is a controller that includes a curve matching mechanism. The curve matching mechanism employs Fuzzy Logic to compare input curves to standard curves and to thereby characterize the input curves. Also disclosed in an automotive environment for the curve matching mechanism in which a Fuzzy Controller is used to receive time series data (i.e., input curves) and to present the input curves to the curve matching mechanism. The controller then uses the output of the curve matching mechanism to adjust engine function.

Abstract: An approach to clustering a set of images based on similarity measures employs a fuzzy clustering paradigm in which each image is represented by a node in a graph. The graph is ultimately partitioned into subgraphs, each of which represent true clusters among which the various images are distributed. The partitioning is performed in a series of stages by identifying one true cluster at each stage, and removing the nodes belonging to each identified true cluster from further consideration so that the remaining, unclustered nodes may then be grouped. At the beginning of each such stage, the nodes that remain to be clustered are treated as all belonging to a single candidate cluster. Nodes are removed from this single candidate cluster in accordance with similarity and connectivity criteria, to arrive at a true cluster. The member nodes of this true cluster are then removed from further consideration, prior to the next stage in the process.

Abstract: The invention provides a novel control method combining fuzzy logic control with gain auto-tuning sliding mode control. A control error signal e(t) from the detection mechanism and an error change signal ce(t) are combined together as a sliding variable s(t)=ce(t)+?e(t) and used as the fuzzy input control variable. Using the control method, 2D fuzzy control rule is simplified into 1D fuzzy control rule through the sliding variable definition for enhancing the efficiency of computation and saving computation resources. Accordingly, both the quick transient response and steady state precision positioning can be achieved. The present method can overcome the disadvantages of current controller, which can not reach the desired transient and steady state responses simultaneously.

Abstract: A method for segmenting a data set is disclosed. The method consists of setting a maximum walker size and setting a walker size. Then, a first segment of data from the data set is obtained, wherein the first segment of data is the size of the walker. Then, a second segment of data from the data set is obtained, wherein the second segment of data is not greater than the maximum walker size.

Abstract: Anomaly prediction of battery parasitic load includes processing input data related to a state of charge for a battery and a durational factor utilizing a machine learning algorithm and generating a predicted start-up state of charge. Warnings are issued if the predicted start-up state of charge drops below a threshold level within an operational time.

Abstract: Embodiments herein provide a method, computer program product, etc. of measuring a large population of web pages for compliance to content standards that require human judgment to evaluate. The method performs an automated analysis of a web space, comprising gathering information about structure and content of the web space. The performing of the automated analysis further comprises creating first data and second data. Specifically, the creating of the first data comprises creating page-relationship data based on a directory tree structure of servers in the web space or link distances amongst pages in the web space. The creating of the second data comprises analyzing web page content, comprising creating compliance-indicating data and/or content structure data for pages in the web space. In addition, the performing of the automated analysis can comprise performing the automated analysis on a web space that lacks objective standards violations that can be identified using software.

Abstract: A system and method for an automatic set-up of speech recognition engines may include a speech recognizer configured to perform speech recognition procedures to identify input speech data according to one or more operating parameters. A merit manager may be utilized to automatically calculate merit values corresponding to the foregoing recognition procedures. These merit values may incorporate recognition accuracy information, recognition speed information, and a user-specified weighting factor that shifts the relative effect of the recognition accuracy information and the recognition speed information on the merit values. The merit manager may then automatically perform a merit value optimization procedure to select operating parameters that correspond to an optimal one of the merit values.

Abstract: A system may include construction of observation vectors based on a plurality of power samples indicating past power consumption of a device and a plurality of temperature samples indicating past temperatures of the device, determination of an estimated temperature of the device based on fuzzy reasoning models comprising the observation vectors and a fan control parameter vector; measurement of a temperature of the device, determination of an error based on the estimated temperature and the measured temperature, and adaptation of the fan control parameter vector using a recursive least squares algorithm based on the error. The fans may be controlled based on the fan control parameter vector.

Abstract: A work model (or an image) is displayed on an image plane of a robot simulator (201), and a measuring portion and a measuring method are designated (202, 203) and a work shape and a work loading state are designated (204), and then it is judged whether or not the measuring portion and the measuring method are good (205). When the measuring portion and the measuring method are good, a program is generated and the processing is completed (207, 208). When the measuring portion and the measuring method are not good, an alarm is given (206), and the continuation (207) or the repetition (201) of the processing is directed. At the time of analyzing the program, the loading (101), the analysis and display of the measuring portion and the measuring method (102, 103) and the work information (104) are designated, and then it is judged whether or not the measuring portion and the measuring method, which have been analyzed, are good (105).