Abstract: An information handling system includes a first fan in a first location for cooling a first component of the information handling system, a second fan in a second location for cooling a second component of the information handling system, and a management controller. The management controller determines that the first fan has experienced greater stress than the second fan, and recommends that the first fan be placed in the second location and that the second fan be placed in the first location.

Abstract: Aspects of the disclosure relate to managing a set of warning data with respect to a development phase in a computing environment. In embodiments, the computing environment may include a distributed computing environment or a stream computing environment. The set of warning data may be detected with respect to the development phase. In embodiments, the set of warning data may be used to develop an application. By analyzing the set of warning data, a relationship between the set of warning data and a component of the application may be identified. In embodiments, the component of the application may include a computing artifact or a computing object. An indication of the relationship between the set of warning data and the component of the application may be provided for utilization to develop the application.

Abstract: Aspects of the disclosure relate to managing a set of warning data with respect to a compilation phase in a computing environment. In embodiments, the computing environment may include a distributed computing environment or a stream computing environment. The set of warning data may be detected with respect to the compilation phase. By analyzing the set of warning data, it may be identified that the set of warning data relates to a computing object. In embodiments, the computing object may include a set of implementation code. The set of warning data may be established in association with the computing object.

Abstract: A technique of automatically predicting data storage configuration events, such as purchase decisions, based upon individual data storage drive properties, client storage usage and behavior trends is described. The behavior trends may include customer actions, such as deleting snap shots or otherwise deleting data, typical ordering times and delays, and expected installation and acceptance testing times. The technique collects operational data and calculates statistical trends. The technique automatically notifies a data storage system manager of the calculated data when the operational data indicates that the data storage system will need reconfiguration and recommends data storage drive properties to acquire.

Abstract: A method providing an analytical technique introducing label information into an anomaly detection model. Effective utilization of label information is based on introducing the degree of similarity between samples. Assuming, for example, there is a degree of similarity between normally labeled samples and no similarity between normally labeled and abnormally labeled samples. Also each sensor value is generated by the linear sum of a latent variable and a coefficient vector specific to each sensor. However, the magnitude of observation noise is formulated to vary according to the label information for the sensor values, and set so that normal label?unlabeled?anomalously labeled. A graph Laplacian is created based on the degree of similarity between samples, and determines the optimal linear transformation matrix according to a gradient method. A optimal linear transformation matrix is used to calculate an anomaly score for each sensor in the test samples.

Abstract: An arrangement and method for converting an input signal into a mechanical or acoustical output signal by using a transducer and additional means for generating a desired transfer behavior and for protecting said transducer against overload. Transducers of this kind are for example loudspeaker, headphones and other mechanical or acoustical actuators. The additional means comprise a controller, a power amplifier and a detector. The detector identifies parameters of the transducer model if the stimulus provides sufficient excitation of the transducer. The detector permanently identifies time variant properties of the transducer for any stimulus supplied to the transducer. The controller provided with this information generates a desired linear or nonlinear transfer behavior; in particular electric control linearizes, stabilizes and protects the transducer against electric, thermal and mechanical overload at high amplitudes of the input signal.

Abstract: Provided is an abnormality diagnosis device for a machine tool, and an abnormality diagnosis method, whereby it is possible to diagnose the degree of damage to a spindle system due to a collision.

Abstract: Methods and apparatus for generating a standard pattern for data signals from a set of multiple data signals are provided. The standard pattern consists of a signal length, a centerline, an upper limit, and a lower limit. One of methods comprises, receiving first and second data signals, determining a standard pattern length for each of the first and second data signals, sampling each of the first and second data signals by as much as the determined standard pattern length, aligning the sampled first and second data signals, and generating a standard pattern for the first and second data signals by overlapping the aligned first and second data signals, wherein the generated standard pattern is a standard pattern having reflected thereinto upper and lower limit ranges that are determined using levels of the aligned first and second data signals.

Abstract: In an example, a plurality of segments of percentile information indicating submitted confidential data values from users matching at least one attribute of a submitting user are retrieved. Then, for each of the segments, an interquartile range is calculated for a first and a second of a plurality of percentiles in the segment, an initial lower limit is computed for the segment by taking a maximum of zero or the difference between the value for the first of the plurality of percentiles and a product of a preset alpha parameter and the interquartile range, and interpolation is performed on values for the plurality of percentiles for the segment to obtain values for a third percentile. The initial lower limits and the interpolated values for the third percentiles are aggregated across the segments. A merged lower limit is determined by applying a function to the aggregated initial lower limits and aggregated interpolated values.

Abstract: Determining a time for on-demand snapshotting of a virtual machine in a node prior to a failure point in a system comprising a plurality of nodes. Failure data is collected from a set of failed nodes of the plurality of nodes in a system. A failure pattern of the node is identified based on the failure data and monitoring the plurality of nodes for the failure pattern to determine that a first node of the plurality of nodes is exhibiting the failure pattern. Responsive to the determination that the first node is exhibiting the failure pattern, capturing a snapshot of a virtual machine corresponding to the first node.

Abstract: In an example, a submission of a confidential data value of a first confidential data type is received from a first user with one or more attributes. A plurality of previously submitted confidential data values of a first confidential data type for a cohort matching the one or more attributes of the first user are retrieved. A plurality of percentiles for the confidential data values are calculated. Then, an interquartile range is calculated for a first and a second of the plurality of percentiles. A lower limit for the first confidential data type and the cohort is computed by taking a maximum of zero or the difference between the value for the first of the plurality of percentiles and a product of a preset alpha parameter and the interquartile range. Then it is determined if the confidential data value submitted by the user is lower than the lower limit.

Abstract: A system configured to perform a digital simulation of a hardware device, where the hardware device has a digital state component. The system creates an instance of a first module inside a target module associated with the state component, where the source code of the target module remains unmodified by the instance. The system then resets the simulation, such that the state component is set to one of a fixed state and an unknown state, where the unknown state indicates the digital simulation cannot predict how silicon on the hardware device will behave. The system reads an updated value of the digital state component via the instance of the first module, compares the updated value of the digital state component to a desired value of the digital state component, and generates an alert that the updated value does not match the desired value according to the comparison.

Abstract: Cloud computing benchmarking is performed wherein the resource usage of a measuring benchmarking application is compensated for as to not impact measurement. The measurements are of a cloud instance's benchmarking indicia which may include performance, functions and characteristics of the cloud instance. The benchmarking indicia use scalable measures as to allow the use of arithmetic operations such as those used in statistical functions. The benchmarking application is dispatched along with a configuration file and is controlled from a central controller to specified cloud instances. The dispatched benchmarking application takes measurements of the cloud instance based on the configuration file. The benchmarking application then stores the measurements in a results file for return back to the central controller. At the central controller, results files from one or more benchmarking applications are stored in a data store for comparative and statistical analysis.

Abstract: A method including receiving an indication of a number of active processing units in a computer processor; in response to receiving the indication, determining an appropriate operating voltage margin for the computer processor; reducing an operating frequency of the active processing units in response to receiving the indication; adjusting a power supply to increase or decrease a voltage to the computer processor in accordance with the appropriate operating voltage margin; and increasing the operating frequency of the active processing units in response to an acknowledgment that the power supply has been adjusted.

Abstract: Methods and systems for planning evacuation paths are provided to identify an optimum path for evacuation of every evacuee from a region of interest. Methods of the instant disclosure ensure that for each suggested evacuation path, the capacity of any edge on the path is not exceeded and the evacuation time is minimum. A path once identified is maintained. A randomized behavior model is employed to re-distribute evacuees in emergency situations. This provides optimum evacuation time that employs an improved technique with optimized run time and evacuation time after taking into consideration herd behavior.

Abstract: A method of isolating fault in an electric motor assisted braking system of a vehicle includes calculating a value for each of a plurality of fault signature components and comparing each of the calculated values of the plurality of fault signature components to a respective threshold value for each fault signature component. The method also includes automatically executing a control action to indicate a detected fault of the electric motor assisted braking system in response to at least one of the calculated values of the plurality of fault signature components exceeding a respective threshold value.

Abstract: A method for operating a wind energy installation having a tower, a nacelle arranged on the tower, the azimuth of which can be adjusted, and a rotor having at least one rotor blade, the blade angle of which can be adjusted, in which tower oscillations are detected and monitored during operation using at least one measuring apparatus and power operation is switched off if a sliding average of the tower oscillations exceeds a tower oscillation limit value. The tower oscillation limit value is defined, at least during load operation of the wind energy installation, as at least one limit value function which is dependent on a sliding average of prevailing wind speed and/or a parameter associated therewith, and has different functional dependencies in a plurality of different value ranges of the prevailing wind speed or the parameter associated therewith. The invention also relates to a wind energy installation.

Abstract: A method for analyzing the condition of a machine having a rotating shaft, including: generating an analog electric measurement signal (SEA) dependent on mechanical vibrations emanating from rotation of the shaft; sampling the analog measurement signal at a sampling frequency (fS) so as to generate a digital measurement data signal (SMD) in response to the received analog measurement data; performing a decimation of the digital measurement data signal (SMD) so as to achieve a digital signal (SRED) having a reduced sampling frequency (fSR1, fSR2); wherein the decimation includes the step of controlling the reduced sampling frequency (fSR1, fSR2) such that the number of sample values per revolution of the shaft (8) is kept at a substantially constant value; and performing a condition analysis function (F1, F2, Fn) for analyzing the condition of the machine dependent on the digital signal (SRED) having a reduced sampling frequency (fSR1, fSR2).

Abstract: Monitoring the propulsion system of an aircraft includes selecting elements representative of operation of the propulsion system, modeling the propulsion system by a model including the selected elements, a set of exogenic parameters of the propulsion system and interdependence relations between the elements, operation of a given element being modelled by at least one endogenic parameter dependent on at least one of the exogenic parameters and/or on at least one parameter of another element, and analyzing elements, the analysis of the given element including the expression of the at least one endogenic parameter of the given element as a function only of exogenic parameters of the propulsion system and being made by layers of different levels, a layer of a given level being capable of taking account of at least one parameter that is the result of a layer of a different analysis level of another element.

Abstract: A method and system for use in evaluating system performance is disclosed. In at least one embodiment, the method and system comprises collecting system performance, management operations, and system events data for a computer system; correlating the management operations and the system events data with the performance data; and based on the correlation, providing a graphical user interface for enabling performance evaluations of the computer system by graphically displaying the management operations and the system events data overlaying the performance data.

Abstract: Improved techniques involve comparing access patterns in a storage system to expected access patterns under similar circumstances. An intrusion detection system, in response to a suspected malicious application workload, collects information about a current session on the storage processor, e.g., application workload s running, users logged in, and timestamp, as well as parameters such as storage allocation requests sampled at prespecified intervals over a period of time. In a database that stores such sampled parameter values by application workload, user, and time, the system extracts the sampled parameter values having the application workload, user, and time corresponding to the current session. The system then compares the extracted sampled parameter values with the current parameter values and computes a difference. Based on the difference, the system determines whether the storage system is accessed by a malicious application workload.

Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

Abstract: A combined transaction execution monitoring, transaction classification and transaction execution performance anomaly detection system is disclosed. The system receives and analyzes transaction tracing data which may be provided by monitoring agents deployed to transaction executing entities like processes. In a first classification stage, parameters are extracted from received transaction tracing data, and the transaction tracing data is tagged with the extracted classification data. A subsequent measure extraction stage analyzes the classified transaction tracing data and creates corresponding measurements which are tagged with the transaction classifier. A following statistical analysis process maintains statistical data describing the long term statistical behavior of classified measures as a baseline, and also calculates corresponding statistical data describing the current statistical behavior of the classified measures.

Abstract: The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.

Abstract: A controlling device includes an operating volume upper limit value OH1 storage unit that stores an operating volume upper limit value OH1 set from a device on a higher-level side, an operating volume upper limit value OH2 storage unit that stores an operating volume upper limit value OH2 set by an operator, an upper limit value selector that compares the operating volume upper limit values OH1 and OH2, and using the smaller as an operating volume upper limit value OH to be used in an upper limit limiting procedure, a control calculator that calculates an operating volume MV, and an upper limit processor that performs the upper limit limiting procedure to control the operating volume MV, calculated by the control calculator, to a value that is no greater than the operating volume upper limit value OH used by the upper limit value selector.

Abstract: A method and system for diagnosing gear condition by comparing data collected from each member of a set of coupled gears, including mating gears. Data containing vibrations or other signals from the set of coupled gears are collected. Condition indicators are calculated from the vibration data. The values of these condition indicators are compared for each pair of coupled gears. A divergence of the condition indicators as indicated by the comparison may indicate the presence of a faulted or otherwise anomalous condition. Such indication may be provided to a user. In one variation, the vibration data are used to calculate a synchronous average for each gear and the condition indicators are based on the synchronous average.

Abstract: A system and method are provided to model a network path with performance characterization for individual path segments of the network path and correlate the faults and performance issues to identify the factors that are causing network path performance degradation. The system described herein provides for codebook correlation technology to identify the root cause of network path performance degradation. In an embodiment, an algorithm is provided to model the network path with performance characterization and analysis. The performance of a network path is determined by performance characteristics of individual hops along the network path. The path performance is then characterized with weighted attributes indicative of performance over individual hops along the network path. The individual hops along the network path are modeled with weighted attributes indicative of performance. The performance symptoms may be aggregated to determine path performance using codebook correlation to perform a causal analysis.

Abstract: A vehicle diagnosing apparatus, a vehicle diagnosing system, and a diagnosing method enable the determination of completion of a repair or part replacement on a vehicle while adapting to changes in environment and overcoming temporal or spatial restrictions. The vehicle diagnosing apparatus reads diagnostic information from an on-board diagnosing unit on the vehicle that detects an abnormality in an on-board device. A result of a maintenance work performed on the on-board device is finalized by a maintenance result finalizing unit. A determination unit determines the appropriateness of the finalized maintenance work result with reference to determination information stored in a database that is continuously updated. The result of the determination is indicated by a notifying unit. Analogy is used to obtain the diagnostic information when the on-board device requires a long time or a certain condition to provide accurate diagnostic information.

Abstract: The invention pertains to a method and information handling system (IHS) for reducing storage device vulnerability to degraded performance, data unavailability or data loss. An embodiment of the method of the present invention begins by storing debug data associated with at least one storage device and obtaining diagnostic data for the at least one storage device. Next, an analysis is performed using the obtained data and the stored debug data. Then, one or more issues and one or more action plans for resolution may be identified. Finally, a report is provided to one or more users including the one or more identified issues and the one or more action plans.

Abstract: A motor control device includes a load torque estimation unit configured to estimate a load torque applied to a motor, a torque comparison unit configured to compare the load torque with a reference torque, a time measurement unit configured to measure a time span during which the load torque is higher than the reference torque, a time comparison unit configured to compare the time span with a reference time, and a decision unit configured to decide that the motor is subjected to an excessive load when the time span exceeds the reference time.

Abstract: Various methods and systems for creating or performing a dynamic sampling scheme for a process during which measurements are performed on wafers are provided. One method for creating a dynamic sampling scheme for a process during which measurements are performed on wafers includes performing the measurements on all of the wafers in at least one tot at all measurement spots on the wafers. The method also includes determining an optimal sampling scheme, an enhanced sampling scheme, a reduced sampling scheme, and thresholds for the dynamic sampling scheme for the process based on results of the measurements. The thresholds correspond to values of the measurements at which the optimal sampling scheme, the enhanced sampling scheme, and the reduced sampling scheme are to be used for the process.

Abstract: A computing device predicts a probability of a transformer failure. An analysis type indicator defined by a user is received. A worth value for each of a plurality of variables is computed. Highest worth variables from the plurality of variables are selected based on the computed worth values. A number of variables of the highest worth variables is limited to a predetermined number based on the received analysis type indicator. A first model and a second model are also selected based on the received analysis type indicator. Historical electrical system data is partitioned into a training dataset and a validation dataset that are used to train and validate, respectively, the first model and the second model. A probability of failure model is selected as the first model or the second model based on a comparison between a fit of each model.

Abstract: A method of adjusting a rotary blade includes receiving performance data for a rotary blade, receiving an adjustment constraint for the rotary blade, defining an adjustment space for alternative adjustment solutions for the rotary blade including a plurality of alternative adjustment solutions, and calculating expected performance for one of the plurality of alternative adjustment solutions. Based on the expected performance of the one of the plurality of alternative adjustment solutions, the method determines whether to calculate expected performance for another of the plurality of alternative adjustment solutions.

Abstract: A method for identifying conditions that correlate with one ore more events related to operation of a power grid. The method includes the determining one or more distinguishing characteristics of a first chunk. The first chunk includes data elements relevant to operating a power grid. The method also includes determining whether a distinguishing characteristic of the first chunk correlates with a distinguishing characteristic of one or more of a plurality of second chunks. Each second chunk includes a plurality of data elements corresponding with the data of the first chunk. The method further includes determining whether a second chunk, having a distinguishing characteristic equivalent to a distinguishing characteristic of the first chunk, is associated with the one or more events.

Abstract: Systems and methods for aggregating one or more log records are provided. An example method includes receiving an indication that a request has been completed. The method also includes aggregating, at the log aggregator, log records that were created based on processing the request. The log records include a unique identifier associated with the request. The method further includes sending the aggregated log records to the log client.

Abstract: An electronic system includes: a control unit configured to: calculating a risk score based on a permission requested by an application, generating a summary presentation based on the risk score for presenting a risk visualization of a privacy risk posed by an application, generating a subcategory presentation based on the risk score for presenting the risk visualization of the privacy risk posed to a device feature by the application, and a user interface, coupled to the control unit, configure to present a risk presentation including the summary presentation, the subcategory presentation, or a combination thereof for displaying on a device.

Abstract: Systems and methods are described herein for detecting an anomaly in a discrete signal, where samples in the signal correspond to amounts of data flow in a network within a time interval. The discrete signal is received, and a sequence of likelihoods corresponding to the sample values in the signal is generated. The likelihoods are based at least in part on a historical probability distribution of previously received sample values, and a likelihood is a probability of occurrence of a corresponding sample value in the signal. Likelihood change points are identified in the likelihood sequence, and the discrete signal is segmented into a plurality of segments at samples corresponding to the identified change points. A segment is identified as an anomaly based on a comparison between a statistic of the segment and a statistic of the historical probability distribution.

Abstract: A method, computer program product, and system that discards unneeded elements when generating a fault tree of an object to be analyzed. Configuration information identifies a plurality of functional blocks comprised by the object and a plurality of signal lines that connect the functional blocks in logical relationships. Exclusion target information identifies a signal line that may be excluded from the plurality of signal lines without loss of information or a functional block that may be excluded from the plurality of functional blocks without loss of information. Exclusion of a block or signal line may be determined by detecting a redundant functional block or by detecting a circular signal path traversed by two or more signal lines. The generated fault tree omits the excluded block or signal line and identifies the existence of a redundant block or of a circular signal path.

Abstract: A method and apparatus is presented. The apparatus comprises a parts library, a database, and a parts management system. The parts library is configured to store a plurality of part definition files. The database is configured to store entries identifying a printing of parts using the plurality of part definition files. The parts management system is configured to receive a request for a part definition file in the parts library, identify the part definition file in the plurality of part definition files in the parts library, receive an indication of a printing of a part using the part definition file, and store an entry identifying the printing of the part using the part definition file in the database.

Abstract: This invention encompasses embodiments for multi-modal integrated simultaneous measurement of various aspects of fluids contained in circulating systems such as automotive reciprocating engines and vehicle transmissions. These circulating systems perform constant internal lubrication, and heat and contaminant removal to protect the internal moving parts from the inherent friction and damage in normal operation. Most commonly this is achieved with fluids based on hydrocarbon and/or related synthetics, which, over time, can lose their protective properties, and vary in their performance or breakdown/decay due to internal and external events. Several components within the lubricant fluid can be measured and can provide insight into the efficacy of the system to perform its designed mission. Described herein is a real-time, simultaneous, integrated, multi-modal sensor system for early warning notification.

Abstract: Inspecting a retaining ring of a dynamoelectric machine includes placing an optical device in a stationary component of the dynamoelectric machine and directing the optical device toward a radial view of the retaining ring. An image is obtained and transmitted of a circumferential portion of the retaining ring, using the optical device during rotation of the rotor. Identification is made of a location of one or more stress cracks forming and visible at the circumferential portion of the annular edge. Further, a structural condition is determined for at least one location on the retaining ring using a metric to identify a value of the metric exceeding a predetermined acceptable value of the metric.

Abstract: A method providing an analytical technique introducing label information into an anomaly detection model. Effective utilization of label information is based on introducing the degree of similarity between samples. Assuming, for example, there is a degree of similarity between normally labeled samples and no similarity between normally labeled and abnormally labeled samples. Also each sensor value is generated by the linear sum of a latent variable and a coefficient vector specific to each sensor. However, the magnitude of observation noise is formulated to vary according to the label information for the sensor values, and set so that normal label?unlabeled?anomalously labeled. A graph Laplacian is created based on the degree of similarity between samples, and determines the optimal linear transformation matrix according to a gradient method. A optimal linear transformation matrix is used to calculate an anomaly score for each sensor in the test samples.

Abstract: A method, apparatus, and/or computer program product analyzes data processing. Dependency metadata, which is used for representing dependency on data among at least two components of an application, is acquired. Error information, which is used for describing errors that occurred while running the application, and data output, which includes data output by components used to run the application, are acquired. Based on the error information, dependency metadata and data output relevant to the error information are analyzed to provide an analysis result. The analysis result includes at least one of: a reason why an error occurs, a prompt for an error correction method, a relevant dependency metadata leading to an occurrence of an error, and relevant data output leading to an occurrence of an error.

Abstract: A system and methods to provide appliance field support personnel with a tool that, together with proper interface modules, simplifies the execution of diagnostic procedures and provides an easy way to configure, reconfigure, or update electronic boards in the home on a client side of an enterprise wide system. The electronic boards serve as electronic controllers in the appliances and are programmable generic service boards. With such a system, it is possible to update and re-configure electronic boards and interact directly with an electronic controller of an appliance while an appliance is operating. Software, configuration data, and control data are downloaded from a server-side configuration of the enterprise wide system to update the electronic boards.

Abstract: Techniques for social networking systems and methods for testing and applying user interfaces are disclosed herein. The method includes steps of presenting a user interface including a new user interface feature to a group of test users, collecting response data from the test users experiencing the user interface, performing analytics on the response data, and determining at least one interface rule of applying user interface features for a user depending on one or more user attributes of the user based on the analytics using a machine learning model.

Abstract: An electronic control apparatus includes a controller, a storage, a calculator, and an estimator. The estimator estimates a potential travelling pattern of a vehicle based on a vehicle state during a start-up period. The start-up period is a preliminarily determined period of time right after a turning on of an ignition switch and the potential travelling pattern is an estimated travelling pattern under which the vehicle travels after an elapse of the start-up period. The estimator estimates the potential travelling pattern of the vehicle based on database-stored reference information that indicates a relationship between the vehicle state during the start-up period and an actual travelling pattern of the vehicle after the elapse of the start-up period. When the estimator estimates that the potential travelling pattern of the vehicle is the short distance travel, the controller forcibly starts the malfunction diagnostic before the predetermined diagnostic start condition is satisfied.

Abstract: Disclosed is a remote monitoring terminal device for a mobile work vehicle or vessel, capable of informing the user of maximum, minimum, and average values for each sensor and a turn-on count of a switch. The remote monitoring terminal device includes: connection terminals; a data abridging control section for computing minimum, maximum, and average values of data collected over a period from a startup to the latest data acquisition and of actual operation data on actual operation and an occurrence count and durations of a predetermined event, on the basis of operation-state data acquired via the connection terminals and stored in a data storage section; and a communications section. In response to a manual turn-off of a startup switch of the mobile work vehicle or vessel, the data abridging control section transmits data stored in the data storage section, to the remote monitoring device via the communications section.

Abstract: This invention encompasses embodiments for multi-modal integrated simultaneous measurement of various aspects of fluids contained in circulating systems such as automotive reciprocating engines and vehicle transmissions. These circulating systems perform constant internal lubrication, and heat and contaminant removal to protect the internal moving parts from the inherent friction and damage in normal operation. Most commonly this is achieved with fluids based on hydrocarbon and/or related synthetics, which, over time, can lose their protective properties, and vary in their performance or breakdown/decay due to internal and external events. Several components within the lubricant fluid can be measured and can provide insight into the efficacy of the system to perform its designed mission. The mass and level of the fluid may also be monitored on an on-going basis. Described herein is a real-time, simultaneous, integrated, multi-modal sensor system for early warning notification.

Abstract: The present disclosure provides for distributed resource scheduling performed by an advanced resource scheduling (ARS) module implemented on a distributed grid management (DGM) server in a power system. The ARS module is configured to automatically generate a resource schedule for controllable distributed energy resources (e.g., resources that are remotely controllable by DGM server and ARS module) in a distribution network of the power system, such as power generation resources and energy storage resources, to provide power in a cost-effective (e.g., optimal) manner. The ARS module is configured to take into account the operating limits of the distributed energy resources (DERs), the cost curves of the DERs, the system load demand, and other operating constraints to determine the most economical operating plan for the DERs, using an optimization technique such as the particle swarm optimization (PSO) algorithm.

Abstract: A method for handling interference during the transmission of a chronological succession of digital images (I) from a sender (S) to at least one receiver (R), in which the images to be transmitted show the face of a Speaker at least intermittently, involves images in the chronological succession that are unable to be decoded, or unable to be decoded satisfactorily, on account of the interference being replaced by synthentic images (P) at the receiver. The synthetic images are produced using phonetic data (LD) that are or have been extracted from digital voice data (SD) for the Speaker by means of phonetic recognition, the digital voice data being or having been transmitted together with the digital image data (I).