Abstract: Obtaining or facilitating obtaining statistical performance of a storage system is described. For instance, a method comprises: dividing a value range of performance of a storage system into a plurality of adjacent sub-ranges, an upper limit value of each sub-range being a predetermined multiple of a non-zero lower limit value of the sub-range. The method also comprises: determining a distribution of a plurality of measurement values of the performance among the plurality of sub-ranges. The method further comprises: estimating, based on the distribution, a percentile of the plurality of measurement values corresponding to a predetermined percentage to indicate statistical performance of the storage system. As a result, statistical performance indicators of the storage system can be obtained with an acceptable error using a small amount of memory resources.

Abstract: A noise monitoring device capable of easily estimating a noise generation source in a factory is connected for communication with a plurality of machines in the factory. The noise monitoring device is provided with a noise information acquisition unit configured to acquire noise information including the time of generation of noise if the noise is generated in the machines, an operation information acquisition unit configured to continually acquire operation information of all the machines, a determination unit configured to extract the operation information at a point in time near the noise generation time, and a display unit configured to display the noise information and the operation information of all the machines at the point in time near the noise generation time.

Abstract: A method for aggregating operating values of a plurality of spatially distributed operating units, wherein aggregation times are predefined and the operating values of each operating unit describe an operating variable at each of the respective aggregation times, and a respective aggregation value is generated from time-synchronized operating values of the operating units for the aggregation. Respective raw values are received for each of the operating units, which describe the operating variable at a respective detection time, and the operating values of at least one of the operating units are formed based on the raw values thereof. For each of the aggregation times, and based on a predetermined checking function, a respective operating value is sought which fulfills a synchronization criterion and a plausibility criterion. If an operating value of this type is found it is used, and if no such operating value is found, a detection gap is signaled.

Abstract: Aspects of the disclosed technology encompass the use of a deep learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving a plurality of control values from two or more stations, at a deep learning controller, wherein the control values are generated at the two or more stations deployed in a manufacturing process, predicting an expected value for an intermediate or final output of an article of manufacture, based on the control values, and determining if the predicted expected value for the article of manufacture is in-specification. In some aspects, the process can further include steps for generating control inputs if the predicted expected value for the article of manufacture is not in-specification. Systems and computer-readable media are also provided.

Abstract: Aspects of the disclosed technology encompass the use of a deep-learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving control values associated with a process station in a manufacturing process, predicting an expected value for an article of manufacture output from the process station, and determining if the deep-learning controller can control the manufacturing process based on the expected value. Systems and computer-readable media are also provided.

Abstract: Techniques for detecting physical conditions at a physical premises from collection of sensor information from plural sensors execute one or more unsupervised learning models to continually analyze the collected sensor information to produce operational states of sensor information, produce sequences of state transitions, detect during the continual analysis of sensor data that one or more of the sequences of state transitions is a drift sequence, correlate determined drift state sequence to a stored determined condition at the premises, and generate an alert based on the determined condition. Various uses are described for these techniques.

Abstract: Techniques for telemetry data collection including receiving first telemetry data items each including a first value for a first performance measurement, generating respective data objects providing values for a first set of attributes including multiple context attributes and a performance attribute determined based on the first value, performing a machine-based selection of outlier data objects from the data objects, obtaining a targeting rule specifying selection conditions for at least two of the context attributes and corresponding to a selected subset of the outlier data objects, providing the targeting rule to multiple telemetry sources, and receiving second telemetry data items each associated with a different telemetry source that satisfied the selection conditions, and each including a second value for a second performance measurement, with the first telemetry data items not including values for the second performance measurement.

Abstract: The present disclosure relates to a method, a device and a computer program product for backup management. An initial set of data items associated with a plurality of historical data backup operations are obtained, a data item in the initial set of data items indicates a data amount and time consumption associated with a corresponding historical data backup operation. A degree of change in time consumption per unit data amount of a candidate data item in the initial set of data items is determined and the candidate data item from the initial set of data items is removed based on the degree of change to generate a reference set of data items, which is stored for predicting time consumption of a future data backup operation.

Abstract: A process for thinning scalar machine vibration data can reduce the amount of data storage required to store the data by several orders of magnitude, without losing any important machine diagnostic vibration information. The process assumes that because each scalar vibration measurement value has its own range of values, there is a unique delta change in value that does not significantly impact machine diagnostic information provided by the data. Some embodiments provide a method to automatically evaluate the delta change in value. The process can be used to thin data that have already been stored in a database, and also to thin the data in real-time during data collection. Data storage structures for storing the thinned scalar values and processes for displaying a trend plot to indicate where the scalar data have been thinned are also described.

Abstract: An object learning system, method, and device. The object learning device includes an electronic processor configured to provide an identifier based on target to at least one auxiliary object learning device and initiate an edge learning process on the target to create first preprocessed object recognition data. The electronic processor is further configured to receive second preprocessed object recognition data corresponding to the target from the at least one auxiliary object learning device and create, based on the first and the second preprocessed object recognition data, a classifier of the target.

Abstract: A fuel control system obtains a measured amount of fuel consumed by an engine and one or more corresponding operating parameters of the engine and determines a fuel consumption modeled amount based at least in part on a fuel consumption model of the engine and the one or more operating parameters. The fuel consumption model associates different amounts of fuel that, when supplied to the engine, generate corresponding designated outputs of the engine. The system also determines one or more differentials between the measured amount of fuel and the modeled amount and, responsive to the one or more of the differentials exceeding a threshold value, the system identifies one or more components of the powered system that contribute or cause the one or more differentials and/or changes an amount of fuel supplied to the engine according to the fuel consumption model to obtain a desired output of the engine.

Abstract: A virtual care system. The system identifies movement and status (e.g., location, time duration in a location, direction of movement, last activity) of an inhabitant of a premises, and takes actions based on the identified movement and status. The system includes an activity plan comprising a plurality of activity primitives. Each activity primitive comprises a time window, and classifies movements and/or activities of the inhabitant as, for example, expected or unexpected or abnormal patterns of behavior, based on occurrence and/or absence of output from a single sensor or paired sensors at the premises in the time window. The system is configured to notify caregivers with different levels of urgency (e.g., informational or warning to critical) based on the classifications of the detected movements and/or activities, and/or to take other actions such as turning off the lights and locking the door.

Abstract: Systems and methods of improving building automation system (BAS) performance includes collecting performance parameters associated with building automation devices, comparing the parameters to a benchmark, and adjusting the performance benchmark to match the corresponding performance parameter if the corresponding performance parameter exceeds the performance benchmark, or utilizing the performance parameter and the identity of the building automation device associated therewith to remediate the performance defect. The collected performance parameters may be used to prioritize system tasks based on current system performance. A performance monitoring agent included in a building automation system controller or a device controller determines a performance parameter thereof to assess and benchmark BAS performance.

Abstract: A method for implementing automated information technology (IT) system failure recommendation and mitigation includes performing log pattern learning to automatically generate sparse time series for each log pattern for a set of classification logs corresponding to a failure, performing multivariate log time series extraction based on the log pattern learning to generate a failure signature for the set of classification logs, including representing the sparse time series as a run-length encoded sequence for efficient storage and computation, calculating a similarity distance between the failure signature for the set of classification logs and each failure signature from a failure signature model file, determining a failure label for the failure corresponding to a most similar known failure based on the similarity distance, and initiating failure mitigation based on the failure label.

Abstract: This disclosure describes systems, methods, and devices related to vehicle security enhancement. For example, a vehicle may receive a plurality of data values from an onboard diagnostic system (OBD) of a vehicle, wherein a first data value is received from a first sensor of the vehicle and a second data value is received from a second sensor of the vehicle. The vehicle may determine a third data value received from a controller area network (CAN) bus of the vehicle. The vehicle may determine the third data value is associated with a false message originating from a device external to the vehicle based on performing a correlation analysis between the first value, the second value and the third value. The vehicle may discard the third data value based on the correlation analysis.

Abstract: A method for producing a scaled-up solid model of microscopic features of a selected surface of an article, such as a piece of metal exposed to friction. The metal surface is scanned with a profilometer along X, Y, and Z coordinates to obtain measurements of microscopic surface features. A 3-D high resolution spatial map of the microscopic surface features is made, and the X, Y, and Z measurements are scaled up. The spatial map is converted into a high resolution 3-D scaled-up computer model. The Z measurement in the 3-D scaled up computer model is scaled up 3 to 20 times more than the amount used to scale up the X and Y measurements to increase the depth of the 3-D scaled up computer model. A data set of printing instructions is created from the 3-D scaled-up computer model, a solid scaled-up model of the selected surface is manufactured in the 3-D printer, and the surface of the scaled-up model is colored to match the metal surface.

Abstract: A method and apparatus of a management device that determine a root cause of a device failure is described. In an exemplary embodiment, the management device receives an indication of the device failure for a first device, where the first device is part of a system of a plurality of devices. The management device further applies a set of one or more rules to measure a set of input signals of the first device. if the set of input signals are within a corresponding operating range, the management device marks the first device as failed. Alternatively, if one or more of the set of input signals are outside the corresponding operating range, the management device iteratively determines that a second device of the plurality devices that is coupled to the first devices has at least one output signal that is outside of the corresponding operating range and the input signals of the second device is within the corresponding operating range, and marks the second device as a root cause failure of the first device.

Abstract: Technologies for managing memory on a compute device are disclosed. The compute device is configured to determine the quality of a user experience of the compute device when a certain combination of applications are running on the compute device and stores an indication of the quality of the user experience that corresponds to that combination of applications. At a later time, such as when a user selects an application to be launched, the compute device may check if the current combination of applications is expected to have an acceptable quality of a user experience. If not, the compute device may kill one or more of the current combination of applications to improve the expected quality of the user experience.

Abstract: A storage device of a system control device stores grouping information that defines an association among a refrigerant sensor, a plurality of indoor units, at least one outdoor unit, and a plurality of refrigerant leakage suppression devices. When refrigerant leakage is detected by the refrigerant sensor, the system control device performs a process for specifying, from the plurality of indoor units, an indoor unit in which the refrigerant leakage has occurred. Further, the system control device makes reference to the grouping information to operate a refrigerant leakage suppression device corresponding to the indoor unit specified by performing the above-described process.

Abstract: Some embodiments include burden-free insulin delivery systems and methods. Some embodiments include a method comprising: receiving previous insulin delivery data at a user device from an insulin pump; receiving estimated glucose data at the user device from a continuous glucose monitor; determining that the estimated glucose value is approaching or has passed a threshold; and in response to determining that the estimated glucose value is approaching or has surpassed the threshold, not providing an indication to the user through a user interface that the estimated glucose value is approaching or surpassed the threshold.

Abstract: Athletic performance monitoring systems include GPS data to enhance various features of the workout as well as the post-workout data analysis. Such features include using output from multiple sensors to determine the most accurate data available for providing distance measurements for individual segments of a route. The most accurate data for each route segment, from whatever source, then is used to provide the overall route distance and as the basis for making other calculations, such as pace, calorie burn, etc. Another feature relates to the ability to both input and output geographically tagged messages while moving along a route during an athletic performance.

Abstract: Described herein are techniques for diagnostic analysis in computational systems. The techniques including a method comprising receiving error documentation related to a system having a plurality of hardware components and a plurality of software components, where the error documentation is received from a user device associated with a user profile having permissions. The method further comprises generating a diagnostic plan including a diagnostic tool based on the error documentation. The method further comprises implementing the diagnostic tool on at least one component selected from a group consisting of: the plurality of hardware components, and the plurality of software components. The method further comprises receiving censored diagnostic output in response to implementing the diagnostic tool, where the censored diagnostic output is censored according to the defined permissions of the user profile.

Abstract: Systems and methods that detect a loss of charge associated with a climate controlled environment are described in the present disclosure. In various embodiments, a controller receives operating condition parameters associated with a climate-controlled environment. The controller determines whether a compressor is operating in a first mode of operation or a second mode of operation. The controller applies a first model to the operating condition parameters when the compressor is operating in the first mode of operation to represent a loss of charge associated with the climate-controlled environment and applies a second model to the operating condition parameters when the compressor is operating in the second mode of operation to represent the loss of charge associated with the climate-controlled environment.

Abstract: A method, system and computer program product includes receiving data including parameters affecting recovery point objectives for a disaster recovery plan, analyzing the parameters and determining responsible factors behind recovery point objective deviation based on the analyzing.

Abstract: A context-aware healthcare notification system may include a processor and a memory. The memory may include instructions that, when executed by the processor, cause the processor to determine when a user device is within a proximity of a healthcare device or a patient, receive information related to the healthcare device or patient from multiple healthcare systems, when the user device is determined to be within the proximity of the healthcare device or the patient, and transmit, to the user device over the communication network, at least a portion of the information. In one or more embodiments, the instructions, when executed by the processor, may further cause the processor to receive information from the healthcare device, when the user device is determined to be within the proximity of the healthcare device or the patient, and transmit, to the user device over the communication network, at least a portion of the information.

Abstract: A method and system. The method includes receiving datacenter context input information, processing the datacenter context input information, and outputting the cost-versus-datacenter-quantity information. The processing the datacenter context input information may generate the cost-versus-datacenter-quantity information. The cost-versus-datacenter-quantity information is a total datacenter cost to run an application versus a quantity of datacenters used to run the application.

Abstract: A mobile Quality Management/Control system for performing mobile product inspections is provided. A mobile device, such as a tablet, is configured to communicate with one or more databases and allow for real time entry (and subsequent access) of the details of product inspections for quality control and management purposes. The details of such inspections are maintained and available for all subsequent inspections. The mobile device is further configured to provide inspectors with inspection procedures and/or tutorials associated with the inspections being performed.

Abstract: Various embodiments for enterprise skill development using cognitive computing, by a processor device, are provided. In one embodiment, a method comprises applying cognitive computing to analyze user data from an information system to identify a user's Enterprise Skills Index (ESI) of enterprise skills and skill-gaps by inputting and analyzing a plurality of indices for average achievement within the enterprise.

Abstract: Embodiments include a method for monitoring a fracturing operation that includes positioning a pump at a well site where fracturing operations are being conducted. The method also includes arranging one or more sensors at at least one of a pump inlet or a pump outlet, the one or more sensors monitoring a flow rate of a slurry. The method includes receiving flow data from the one or more sensors. The method also includes determining a pump efficiency, based at least in part on the flow data, is below a threshold. The method further includes adjusting one or more operating parameters of the pump.

Abstract: Techniques for rendering a user interface (UI) may include: issuing a first call to a library in accordance with an application programming interface (API) to render a first dashboard component of the UI, the API including a first plurality of input parameters specifying first metadata for the first component and first request parameters used to obtain information from a server to populate the first dashboard component with data; responsive to the first call, issuing a first set of one or more requests, from the library to the server in accordance with the first request parameters, to obtain first information used to populate the first dashboard component; receiving, by the library from the server, the first information; and rendering the first component in the UI. Rendering may include populating the first dashboard component with the first information.

Abstract: System and methods for determining loading on supply lines of a three-phase power distribution system. Load meters are connected to the supply lines to receive power. A feeder meter is connected to a supply line designated the reference supply line having a known reference phase. A device generates a timing pulse received by the load meters and the feeder meter. The load meters and feeder meter each determine a respective time delay and feeder meter delay from receiving the timing pulse until a landmark value of the power received. The feeder meter delay corresponds to the reference phase. Each load meter and feeder meter includes a transmission device to transmit the time delay or feeder meter delay. An end server receives the time delays and feeder meter delay and assigns each load meter to a phase by comparing the time delay for a load meter to the feeder meter delay.

Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.

Abstract: Immersive web-based simulator for digital assistant-based applications is provided. A system can provide, for display in a web browser, an inner iframe configured to load, in a secure, access restricted computing environment, an application configured to integrate with a digital assistant. The application can be provided by a third-party developer device. The system can provide, for display in a web browser, an outer iframe configured with a two-way communication protocol to communicate with the inner iframe. The system can provide a state machine to identify a current state of the application loaded in the inner frame, and load a next state of the application responsive to a control input.

Abstract: Disclosed are methods, apparatuses and systems for collecting transactional and dimensional data. One implementation includes a configuration management database, a first data collection agent operating on a first monitored server to collect metadata associated with the first monitored server from the configuration management database using the first data collection agent, collect metric data from the first monitored server regarding operation of the first monitored server, wherein the metric data includes at least one metric collected from at least one application executing on the first monitored server; and assemble the collected metric data and at least part of the collected metadata into a packet for transmission from the first monitored server to a message bus; and a distributed database configured to receive the packet from the message bus and to store the collected metric data and metadata included in the packet.

Abstract: There is provided a bearing lubrication application control system which comprises a digital controller device operably coupled to a lubrication meter and a computer readable medium reader. As such, during lubrication application, the digital controller device is configured for reading bearing data from bearing computer readable media associated with each bearing and also recording an applied lubrication volume for each of the bearings. As such, for a subsequent lubrication application, the digital controller device is configured for calculating a dynamic lubrication schedule for each of the bearings wherein the schedule comprises at least an appropriate lubrication volume to be applied calculated at least according to the stored apply lubrication volume for each of the plurality of bearings.

Abstract: In order to determine the charging capacity state and the state of health of an electrical energy store of a battery system (BS1; BS2) with little effort, a measuring device (ME) is proposed, which measuring device injects, into a drive train which is available for first or second loads (VR1; VR2) and has an AC/DC converter (ADC) or a DC/DC controller (DDC) on the DC side of the AC/DC converter (ADC) or of the DC/DC controller (DDC), a sinusoidal voltage harmonic with a varied frequency or a sinusoidal current with a varied frequency as a particular measurement signal which is transmitted to the battery system (BS1; BS2). The current response or voltage response, which has been purged of unwanted influences, is then determined for each measurement signal at the battery system (BS1; BS2), from which response phase shifts are determined in each case, and parameters for a statement relating to the charging capacity state or the state of health of the battery system (BS1; BS2) are in turn determined therefrom.

Abstract: Automatically generating a container image assembly file is provided. A definition of an application is assessed to determine a base container image and application libraries needed as add-ons for a container image corresponding to the application. A library dependency graph of flow from the base container image to add-on libraries for the application is generated. The container image assembly file is generated based on the library dependency graph of flow from the base container image to the add-on libraries for the application. Vulnerabilities corresponding to the add-on libraries of the container image assembly file are removed.

Abstract: Whether a vein has a stenosis may be determined using duplex ultrasound (DUS). A method of diagnosing stenosis includes: identifying a patient exhibiting at least one of a group of symptoms in at least one limb consisting of: pain, discomfort, swelling and venous stasis skin changes including ulceration; using duplex ultrasound to measure a cross-sectional area of a vein; and, if the cross-sectional area is less than or equal to 50% of a predetermined anatomical minimum for the vein, diagnosing the vein as stenotic. A device for diagnosing stenosis may include: a duplex ultrasound; a display; and a processor configured to show on the display a cross-sectional area measurement of a vein. Stenosis may be treated by inserting a stent in the vein. The predetermined anatomical minimum for the vein is a predetermined calculated valve based on physical principles. It is not a measured value from the patient, or any patient, or a population of patients.

Abstract: Performance data is collected for input/output operations executed at a storage device of a plurality of storage devices of a software-defined storage network. Based on the collected performance data, a time-based I/O performance profile for the storage device is determined. A characteristic time-based I/O performance profile is determined for a representative group of storage devices having common characteristics with the storage device and based on previously collected performance data for devices of the representative group. It is determined that the difference between the time-based I/O performance profile for the storage device and the characteristic time-based I/O performance profile exceeds a predetermined deviance threshold that is indicative of a probable failure of the storage device. An indication is generated that the storage device exceeded the predetermined deviance threshold.

Abstract: According to some aspects, a system that includes a flow cytometer and circuitry is provided. The flow cytometer is configured to generate data indicative of a pulse waveform corresponding to a fluorescence signal of a biological sample. The circuitry is configured to determine peak position information of the pulse waveform by identifying at least one peak of the pulse waveform and determine at least one biological characteristic of the biological sample based on the peak position information.

Abstract: A method for analyzing the condition of a machine, and an apparatus for analyzing the condition of a machine are described.

Abstract: A method and system for analysing data is disclosed. One or more data records are passed to a data analysis system. The data records comprised a plurality of data items and a first one of the data items is selected from the data items in the data record. A statistical model can be retrieved from a store in a computer system and the statistical model used to detect abnormal results from the selected data item and produce a data model. This statistical model is stored with the data record in the data base.

Abstract: Devices and methods for debugging software or detecting malicious software on a compute node are described herein. A device can include an interface to a central processing unit (CPU) of a compute node. The device can include processing circuitry. During execution of a software application of the CPU, the processing circuitry can process CPU operational metrics received over the interface, wherein values of the CPU operational metrics vary with execution of the software application. Based on the values, the processing circuitry can determine an operational status of the software application and provide an indicator of an error condition of the software application responsive to detection of an error based on any criteria. Other embodiments are also described.

Abstract: A method of determining associated network resources from a plurality of network resources available on a network, the method executable by a server that is communicatively coupled to the network. The method comprises: scanning, by the server, the network to identify a first network resource and a second network resource of the plurality of network resources; retrieving, by the server, information associated with the first network resource and the second network resource, the information comprising at least one parameter of the first network resource and at least one parameter of the second network resource; in response to a match between the at least one parameter of the first network resource and at least one parameter of the second network resource, determining a connection between the first network resource and the second network resource.

Abstract: A device abnormality diagnosis method for a device to be diagnosed constituting a plant includes: obtaining time-series data of a plurality of state amounts of the plant which are correlated to an abnormality of the device to be diagnosed; a step of obtaining abnormality diagnosis data on the plurality of state amounts by performing pre-processing on at least one state amount of the plurality of state amounts to exclude, from the time-series data on the state amounts, data of the at least one state amount obtained in an exclusion period which is at least a part of a transient state period during which the device to be diagnosed is affected by a state change of another constituent device of the plant; and a step of performing abnormality diagnosis on the device to be diagnosed on the basis of the abnormality diagnosis data of the plurality of state amounts.

Abstract: This document presents a system and method for using an intelligent belt and a remote secondary sensor to obtain instantaneous feedback during the performance of physical activities. A remote secondary sensor may be attached to a conveyance associated with, and in use by, a user. The intelligent belt uses a position sensor, such as a 3-axis accelerometer, to monitor the movements of a user and a conveyance such as an athletic apparatus, or any other apparatus upon which a user may stand, move, or with which the user may be associated. The belt is capable of determining when certain physical activities are not being performed properly in comparison to a preferred and pre-configured performance, and can provide real-time feedback using visual, aural, haptic, and other feedback mechanisms.

Abstract: The presentation of sensor network information can be provided to a user via a customized dashboard web interface. The dashboard web interface can be based on customized transformation and alert functions that can be applied to one or more sensor channels of data produced from sensors at a monitored location. The customized alerts can provide real-time monitoring of targeted conditions at the monitored location.

Abstract: According to aspects of the disclosure, a method is provided comprising: executing a set of threads in a storage system, the set of threads including at least a first thread; executing a plurality of performance counters of the storage system, the plurality of performance counters including at least: (i) a first performance counter that is executed when an operating state of the first thread is changed in response to the first thread accessing a synchronization object, and (ii) a second performance counter that is executed when a marker inserted in the first thread is executed; generating one or more performance data containers associated the first thread based on performance data associated with the first thread; and generating a directed graph based on the performance data containers.

Abstract: An example method comprises receiving historical sensor data from sensors of components of wind turbines, training a set of models to predict faults for each component using the historical sensor data, each model of a set having different observation time windows and lead time windows, evaluating each model of a set using standardized metrics, comparing evaluations of each model of a set to select a model with preferred lead time and accuracy, receive current sensor data from the sensors of the components, apply the selected model(s) to the current sensor data to generate a component failure prediction, compare the component failure prediction to a threshold, and generate an alert and report based on the comparison to the threshold.

Abstract: A database search apparatus includes a processor that receives a search query including first keys. The processor calculates a first score based on statistical information. The first score represents search performance of searching a first database in accordance with the search query. The first database stores a data group including combinations of a key and a value of the key. The statistical information includes information regarding each key included in the data group. The processor calculates a second score based on the statistical information. The second score represents search performance of searching a second database different from the first database in accordance with the search query, the second database storing the data group. The processor selects the first database or the second database based on the first score and the second score. The processor instructs the selected database to performing a search in accordance with the search query.