Abstract: A plant evaluation system is configured to calculate performance of a plant while receiving setting of operating conditions of the plant and devices installed in the plant and simulating a secular change occurring in the plant during an evaluation target period included in the operating conditions. At least one of the devices is added, a selection of a component improving performance of a certain device is received, and an improvement of the performance of the device by the component is expected and the performance of the plant is calculated.

Abstract: Systems, apparatus, and computer-readable media for verifying operations of vehicle control systems are disclosed. During a test cycle, a vehicle-embedded computer device (VECD) may monitor control modules and/or sensors embedded in a vehicle for control system data (CSD), may generate and report fingerprint based on a combination of the CSD, and may report the fingerprint to a vehicle performance verification system (VPVS). During deployment, the VECD may monitor the control modules/sensors for CSD, may generate and performance results (PRs) based on a combination of the CSD, and may report the PRs to the VPVS. The VPVS may verify whether the control systems of the vehicle are operating as desired based on a comparison of the PRs with the fingerprint. The VPVS may generate and send an alert or flag to a remote device if the control systems of the vehicle are not operating as desired.

Abstract: A crop windrow monitoring system includes an image sensor positioned to include a field of view facing a rearward direction of a power unit, and a visual monitor operable to display an image. A computing device is operable to determine an intended direction of movement of the power unit. The image is displayed on the visual monitor in a first mode having a first magnification when the intended direction of movement includes the rearward direction. The image is displayed on the visual monitor in a second mode having a second magnification and overlaid with indicia indicating a width of the windrow when the intended direction of movement includes the forward direction. The second magnification may be larger than the first magnification.

Abstract: A device may receive network data from base stations associated with a network and may aggregate the network data to generate aggregated network data. The device may remove data that satisfies a threshold from the aggregated network data to generate a reduced set of the aggregated network data. The device may divide the reduced set of the aggregated network data into groups of network factors associated with determining network parameters for the base stations. The device may apply weights to the network factors in the groups of network factors to generate groups of weighted network factors and may generate baselines for the network parameters based on the groups of weighted network factors. The device may compare the network data and the baselines to identify one or more anomalies in the network parameters and may perform one or more actions based on the one or more anomalies.

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: A transaction indicator monitoring computer-implemented method, medium, and system are disclosed. One computer-implemented method includes obtaining sampling sequences of a transaction indicator of transaction data under multiple sets of transaction dimension values, each set of transaction dimension values corresponding to one sampling sequence, a first sampling sequence including values of the transaction indicator at a predetermined quantity of sampling points under a first set of transaction dimension values, and a value of the transaction indicator at a target sampling point is a first actual value. An estimated value of the transaction indicator at the target sampling point in the first sampling sequence is calculated based on the first sampling sequence and compared with the first actual value, to determine whether the transaction indicator at the target sampling point under the first set of transaction dimension values corresponding to the first sampling sequence is abnormal.

Abstract: An indication of training artifacts for a machine learning model to be trained with an input data set having an access restriction is obtained. A representation of a software execution environment containing the artifacts is deployed to a computing platform within an isolated resource group which satisfies the access restriction. A trained version of the machine learning model is generated at the computing platform, and transferred outside the isolated resource group.

Abstract: Aspects define a dynamic threshold filter data structure that includes a pairing of an override log level value to a key value; in response to an incoming processing request, identify a user identification value that is linked to the request, wherein the user identification value is associated to a default logging level within a thread context map for logging data associated with executing processes in satisfaction of the processing request, and wherein the default logging level is different from the override log level; and in response to determining that the user identification value matches the key value, log data associated with executing processes in satisfaction of the processing request to the override log level.

Abstract: A maintenance scheduling system for gas turbine engine components includes a computer system configured to receive a set of measured parameters for each gas turbine engine component in a plurality of substantially identical gas turbine engine components, and determine a variation model based on the set of measured parameters. Each of the gas turbine engine components is a single route component and has been utilized in a substantially identical single route. The computer system includes at least one simulated engine model. The simulated engine model is configured to determine a predicted operation of each gas turbine engine component in the plurality of substantially identical gas turbine engine components.

Abstract: A computer system that generates a universal resource locator (URL). The URL is associated with resuming at least one automated process of a running workflow process that includes a plurality of automated processes. The URL is provided to an external system/application. An input of the URL is received from the external system/application, in response to a trigger event at the external system/application. Based on the input of the URL, the at least one automated process is resumed by at least one headless robot.

Abstract: Provided is a sensor control apparatus including a main board, a first sensor, a second sensor, and a third sensor, which are connected in series to the main board. The first sensor includes a diagnosis unit configured to perform a failure diagnosis of each of an LED, a phototransistor, and an LED controller. In a case where a failure is detected, the diagnosis unit electrically isolates the first sensor from the series connection, and supplies a power supply voltage to the second sensor.

Abstract: A method and apparatus for predicting traffic, comprising: determining time at which payment times for a first service reaches a peak as designated time; determining a peak of payment times for a second service in history as a historical peak according to a saved historical record; and predicting the actual traffic of the second service at the designated time according to the historical peak, wherein the first service and the second service belong to the same type of services, the execution manner of the first service is different from that of the second service, the service execution time of the first service is shorter than a preset duration, and the service execution time of the second service is longer than the preset duration. The present application can provide a more accurate reference for the operation and maintenance procedure of the server.

Abstract: A method can include receiving, at a control module, first pump characteristic data from a data source associated with a pump, sensing second pump characteristic data from a flow system using one or more sensors, comparing the first pump characteristic data to the second pump characteristic data sensed in the flow system, and determining a health of the pump based on the comparison of the first pump characteristic data to the second pump characteristic data.

Abstract: Automated patch compatibility testing systems, methods, and computer program products are disclosed. The automated compatibility testing systems, methods, and computer program products disclosed herein enable an entity to check the functionality of applications following patches applied to an original image so that the enterprise can determine how its target computing systems will react to such patches before those patches are actually installed/deployed to the target computing systems. The automated compatibility testing systems, methods, and computer program products disclosed herein helps enterprises ensure that patches do not adversely impact the target computing systems and the operations thereof, and enable the enterprise to operate with minimal disruptions, stay current with patches, and take proactive and informed business decisions in managing the enterprise's computer infrastructure.

Abstract: In an electric driver configured such that a driver bit is coupled to a drive output shaft of an electric motor via a clutch mechanism to perform screw tightening operations, an automatic screw tightening control method and a device are provided such that an appropriate screw tightened state in a screw tightening operation can be confirmed and determined, simply and reliably. In a screw tightening operation by an electric driver, at start of a predetermined screw tightening operation, a rotation amount of an electric motor at a clutch operation time by a clutch mechanism is detected, this rotation amount is set to be a target rotation amount and in the subsequent screw tightening operations, a rotation amount of the electric motor at the clutch operation time is detected and compared with the target rotation amount, respectively, so that acceptability of the respective screw tightened states is determined.

Abstract: A sub-process sequence is identified from a temporal dataset. Based on time information, predictors are categorized as being available or not available during time periods. The predictors are used to make predictions of quantities that will occur in a future time period. The predictors are grouped into groups of a sequence of sub-processes, each including a grouping of one or more of the predictors. Information is output that allows a human being to modify the groups. The groups are finalized, responsive to any modifications. Prediction models are extracted based on dependencies between groups and sub-processes. A final predication model is determined based on a prediction model from the prediction models that best meets criteria. A dependency graph is generated based on the final prediction model. Information is output to display the final dependency graph for use by a user to adjust or not adjust elements of the sequential process.

Abstract: A system includes a production cluster with a first plurality of nodes. The production cluster executes a workload. Jobs associated with the workload are allocated, according to a first configuration, across the first plurality of nodes. A workload simulator is coupled to the production cluster and a test cluster. The workload simulator extracts production cluster data, which includes production capability information, workload data, and production cluster usage information, as well as test capability information. The workload simulator determines a first job type to include in a simulated workload to be executed on the test cluster and a number of jobs of the first job type to include in the simulated workload. The system also includes a test cluster which includes a second plurality of nodes. The second plurality of nodes includes fewer nodes than does the first plurality of nodes. The test cluster executes the simulated workload.

Abstract: A method includes appending contextual information and identification information of the computing inventory data to time series data of computing metrics data to generate a relationship indication. The method further includes providing the relationship indication to be displayed via a graphical user interface of a client device in response to a request, wherein the relationship indication comprises a plurality of links between the computing inventory data and the computing metrics data.

Abstract: A method for monitoring the condition of a hydraulic system of a metal forming plant is presented. The hydraulic system is coupled to or provided with a pump drivable by a drive motor for providing a working fluid and with a heat exchanger. With the presented method, the following steps are initiated or carried out by a condition-monitoring device during the operation of the hydraulic system: Determining a current cooling power of the heat exchanger; determining a current conveying power of the pump; and determining a current maintenance urgency and/or a current ageing condition of the hydraulic system on the basis of the determined current cooling power of the heat exchanger. Furthermore, a condition-monitoring device designed to carry out the presented method is presented.

Abstract: A system for electric aircraft fleet management for at least an electric aircraft is provided. the system includes a computing device communicatively connected to at least an electric aircraft, wherein the computing device is configured to receive a plurality of measured aircraft operation datum from a sensor disposed on the at least an electric aircraft, select a training set as a function of each measured aircraft operation datum of the plurality of measured aircraft operation datum and the at least an electric aircraft, wherein each measured aircraft operation datum of the plurality of measured aircraft operation datum is correlated to an element of modeled aircraft data, and generate, using a machine-learning algorithm, an aircraft performance model output based on the plurality of measured aircraft operation datum and the selected training set, wherein generating an aircraft performance model includes generating a performance alert.

Abstract: A conveyor belt management system is capable of determining a suitable replacement period of the conveyor belt. Data of an amount of wear of an upper cover rubber of the conveyor belt installed at a use site is input into a server via an input unit. A calculation unit is configured to calculate a remaining service life of the conveyor belt based on the input data and, stored in a storage unit, a belt specification database and a tolerance range database in which a tolerance range is input in advance for the amount of wear per belt specification; and calculate an expected service life of the conveyor belt before use of the conveyor belt based on a correlation between a use condition and belt specifications of the conveyor belt used up until present, the use condition of the conveyor belt, and the specifications of the conveyor belt.

Abstract: Methods, systems, and computer program products for fault localization for cloud-native applications are provided herein. A computer-implemented method includes classifying an event-related alert directed to at least one system by processing one or more characteristics of the event-related alert; obtaining and processing multiple application logs based at least in part on the classification of the event-related alert; identifying error logs among the multiple application logs based at least in part on the processing of the multiple application logs; ordering the error logs using one or more prioritization techniques; and performing at least one automated action based at least in part on the ordering of the error logs.

Abstract: The present disclosure provides for predictive part maintenance by identifying component service programs indicating one or more components to track usage of in one or more aircraft for a given time period; tracking component usage in the one or more aircraft for the one or more components to identify scheduled removals for instances of the one or more components within the given time period; amalgamating component removals across the one or more aircraft for the one or more components; amalgamating component demand across the component service programs for the one or more components based on the scheduled removals and the component removals; and generating and transmitting an inventory alert based on the component demand.

Abstract: A method, mass spectrometer and computer readable medium for acquiring mass spectral data in raw profile; detecting presence of compounds and relevant time window; performing multivariate statistical analysis of raw profile data in a time window to determine compounds; obtaining separation time profiles for detected compounds containing respective time locations in a time window; and computing pure mass spectra for compounds based on separation time profiles or time locations. A method, mass spectrometer and computer readable medium for acquiring mass spectral data in raw profile of a known and unknown sample; combining mass spectral scans for a sample into a single mass spectrum across a separation time window; performing multivariate statistical analysis of the acquired mass spectral data and computing a distance measure between the known and unknown sample; and using the distance measure as an indication for an unknown sample belonging to a known sample or sample group.

Abstract: An article-storage simulation device includes an acquisition unit that acquires a size of each of the plurality of articles and a size of the storage container. A simulator determines the number of storage containers to be used for storing the articles and a number of articles to be stored by calculation. The calculation uses the acquired size of the articles and the acquired size of the container. The simulator (i) places the article in the container, (ii) determines whether a next article can be placed in the container after the article is placed, and (iii) in a case where the simulator determines that the next article can be placed, places the next article in the container after the article is placed and in a case where the simulator determines that the next article cannot be placed, adds a next container to be used for storing the next article.

Abstract: Systems, methods, and non-transitory computer readable media are provided for facilitating improved analysis of remedial actions for faults. Fault information may be obtained. The fault information may characterize a fault of a device. The fault may be clustered into a fault type based on the fault information. A set of remedial actions taken for the fault type may be identified. A set of remedial effects of the set of remedial actions for the fault type may be determined. A timeline view of the fault type may be generated based on the set of remedial actions and the set of remedial effects. The timeline view may include a visual representation of effectiveness of the set of remedial actions. An interface, through which the timeline view of the fault type is accessible, may be provided.

Abstract: A method for sensing damage to a bearing of an engine using a vibration signal may sense the damage to the bearing even without a sensor for directly sensing the damage to the bearing using a frequency signal input to a knocking sensor from the engine for each traveling state (acceleration traveling, cruise traveling, deceleration traveling) of a vehicle.

Abstract: A computer-implemented method of adjusting a resource credit configuration for cloud resources that includes collecting a resource credit inventory and attributing metadata related to resources from one or more cloud resources. An expected resource demand is determined. A plurality of resource credit configurations is determined that matches the determined expected resource demand. An improved resource credit benefit based on the resource credit inventory and on the plurality of credit configurations is determined that matches the determined expected resource demand. A modified attribute metadata based on the determined improved resource credit benefit is then determined.

Abstract: A method for determining a resultant force is provided including performing a standard calibration by evenly applying a force across a plurality of sensing areas of a sensor system, performing a non-standard calibration by non-evenly applying a force across the plurality of sensing areas of the sensor system, developing a machine learning algorithm based on data collected during the standard calibration and the non-standard calibration, detecting a field use force applied to a sensing area of the sensor system, and using the machine learning algorithm to correct a force measurement of the field use force applied to the sensing area of the sensor system.

Abstract: The present disclosure provides a test system and a test method for a charging device. The test system for the charging device includes a charging device and a power supply module. The charging device has a switch tube and a control module. The power supply module is coupled to a control electrode of the switch tube and is configured to output a voltage signal to the control electrode of the switch tube, so that a voltage between a first end and a second end of the switch tube is greater than a preset voltage protection value. The control module is configured to determine whether the charging device enters a protection state when the voltage between the first end and the second end of the switch tube is greater than the preset voltage protection value, thereby testing a protection function against abnormal voltage drop of the charging device.

Abstract: Provided is a hinge that can prevent a defect, a failure, or the like with greater certainty, and enables inspection and repair work to be efficiently carried out. A hinge comprises a first wing member that is connected to a first connection object and a second wing member that is connected to a second connection object. The hinge rotatably connects the second connection object to the first connection object. The hinge comprises a sensor that detects a change inside the hinge or in a prescribed external environment change in the external environment detected by the sensor to the outside via a sensor that detects a prescribed component constituting an odor, a gas sensor that detects a prescribed gas, a dust sensor that detects the amount of dust, and a illumination sensor that detects brightness.

Abstract: A method and an apparatus for displaying information of a motor are provided. The method includes: acquiring a target category identifier of a target motor; determining a category parameter interface according to the target category identifier, and displaying the category parameter interface, wherein the category parameter interface displays a category parameter tag that prompts a user to enter parameter information corresponding to the category parameter tag; acquiring target parameter information entered by the user via the category parameter interface; and obtaining target display information corresponding to the target category identifier according to the target parameter information, and displaying the target display information.

Abstract: A processor includes a processor core and a memory controller coupled to the processor core. The memory controller comprising a cryptographic engine to: detect, in a write request for a cache line, a key identifier (ID) within a physical address of a location in memory; determine that the key ID is a trust domain key ID of a plurality of key IDs; responsive to a determination that the key ID is the trust domain key ID, set an ownership bit of the cache line to indicate the cache line belongs to a trust domain; encrypt the cache line to generate encrypted data; determine a message authentication code (MAC) associated with the cache line; and write the encrypted data, the ownership bit, and the MAC of the cache line to the memory.

Abstract: Systems and methods for generating user interface elements associated with a guided workout are disclosed herein. For example, by analyzing location data associated with a user device, along with digital content corresponding to the guided workout, the system may generate user interface elements including graphical representations, segmented timelines, and performance metrics associated with a user's progress and performance while consuming the guided workout content. These interface elements may be displayed to the user during and/or after the workout and may allow for user interaction to view varying levels of detail associated with the interface elements.

Abstract: A system that provides an improved approach for detecting and predicting failures in a plant or equipment process. The approach may facilitate failure-model building and deployment from historical plant data of a formidable number of measurements. The system implements methods that generate a dataset containing recorded measurements for variables of the process. The methods reduce the dataset by cleansing bad quality data segments and measurements for uninformative process variables from the dataset. The methods then enrich the dataset by applying nonlinear transforms, engineering calculations and statistical measurements. The methods identify highly correlated input by performing a cross-correlation analysis on the cleansed and enriched dataset, and reduce the dataset by removing less-contributing input using a two-step feature selection procedure. The methods use the reduced dataset to build and train a failure model, which is deployed online to detect and predict failures in real-time plant operations.

Abstract: An embedded control system for a field device of an automation system includes: a diagnostic application interface to a backend server for signal analytics information, complex event pattern information, and diagnostic information; a physical process interface to a signal source for transferring signal data; a signal evaluation component for comparing received signal analytics information with received signal data to identify a first and a second event; an event processing component for applying received event pattern information to the first and second identified events to identify a first classified event; and a diagnostic reasoning component for deriving causal dependencies between the first classified event and a further classified event with regard to diagnostic information to identify a root cause for the first classified event or predict an impact of the first classified event.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.

Abstract: A compressor controller for operating a compressor within an industrial automation environment is provided. The compressor controller includes a control module, configured to control the compressor via control settings, and a machine learning module, coupled with the control module. The machine learning module is configured to receive a set of supervised data related to the compressor, and to train with the supervised data to produce a Newtonian physics model representing the inputs and outputs of the compressor within the industrial automation environment. The machine learning module is also configured to receive performance data related to the compressor, receive environment data related to the compressor, and to process the performance data and environment data to produce predicted future performance data for the compressor, and to produce control settings for the compressor.

Abstract: An apparatus for maintenance of an aircraft is provided. The apparatus accesses flight data for a flight of the aircraft and predicts and thereby produces a predicted state of the aircraft for a next flight of the aircraft based on the flight data. The apparatus deploys a similarity detection model to determine similarities between the flight data for the flight and a training set of flight data for previous flights of the aircraft. The similarities determined by the similarity detection model are values of independent variables of a classification model. The apparatus deploys the classification model to predict and thereby produce a predicted state of the aircraft for the next flight of the aircraft based on the values of the independent variables, and generates an alert when the predicted state of the aircraft is a fault state.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method for providing customer data access during a migration process. The system may initiate a transfer of customer data from a source data server to a system platform and transfer a subset of the customer data to a temporary data storage. The system may modify the temporary copy of customer data and generate an instruction to modify the permanent copy of customer data. In response to the completion of the transfer of customer data from the source data server to the system mainframe, the system may then transfer and execute the instruction to modify the permanent copy of customer data.

Abstract: A measurement module uses harmonic compensation factors to minimize the effects of harmonic distortion in measurements of a source current by a current sensor of the module. The module samples at a first sampling rate, measurements of the source current to generate a first current measurement. The module samples at a second sampling rate higher than the first sampling rate, for an interval of time, measurements of the source current to generate a second current measurement. The module determines a harmonic compensation factor based, at least, on a difference between the first current measurement and the second current measurement. The module determines a reported current computed as a function of at least the first current measurement, the difference between the first current measurement and the second current measurement, and the harmonic compensation factor. The reported current represents a magnitude of the source current adjusted by the harmonic compensation factor.

Abstract: Each of multiple component mounting machines constituting a component mounting line is configured to switch between a production mode in which a component is mounted on a circuit board that has been conveyed in and then conveyed out, a mounting accuracy measurement mode in which a mounting accuracy measurement component is mounted at a predetermined position on a mounting accuracy measurement board and the mounting accuracy is measured, and a pass mode in which a component is conveyed out without being mounted on the board conveyed in. When the control mode of two or more component mounters among the multiple component mounting machines is the mounting accuracy measurement mode, the mounting accuracy is measured by conveying the mounting accuracy measurement board along the board conveyance path, and the two or more component mounting machines sequentially use the mounting accuracy measurement board to measure the mounting accuracy.

Abstract: A processing system includes a processing unit configured to process a cartridge, in particular a microfluidic cartridge, and is further configured to process a biological sample received in the cartridge. The processing unit includes a computing unit configured to compare input or read in sample data with input or read in first cartridge data in order to determine a compatibility of the sample with the cartridge. The computing unit is further configured to output a first error message in response to a determination of incompatibility between the sample and the cartridge. A method includes using the processing system to determine a compatibility between a sample and a cartridge.

Abstract: A method of improving computer network, includes receiving an identification of performance metrics of the computer network; automatically capturing screenshots of the monitoring dashboards of the performance metrics based on the identification; storing automatically the captured screenshots in an image file format on a storage facility; transmitting automatically and selectively, via a messaging channel, the captured screenshots to designated recipients; analyzing the received screenshots to assess the desired performance metrics, the analyzing including identifying undesirable performance metrics; and providing actions based on the analysis to change configurations of the computer network to address the identified undesirable performance metrics.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.

Abstract: An exercise support device includes a motion sensor that is worn on a user's body and outputs data regarding the motion status of the user's body when the user is performing a moving exercise, and a control section which acquires exercise information regarding the user's exercise status. The control section selects a specific exercise index having relatively strong correlation with a moving speed from exercise indexes acquired from the data outputted when the user moves on a movement section plural times at moving speeds different from each other, acquires a coefficient that is used in an approximate expression which represents the specific exercise index and is a linear function including the moving speed as a variable and the coefficient, and acquires the exercise information based on the specific exercise index and the coefficient when the user moves by the moving exercise.

Abstract: A universal control board for high-rise buildings is provided. The universal control board provides a communication system that operatively associates low voltage loading, including a WIFI thermostat application, with line voltage equipment for providing energy savings, humidification, dehumidification, UV lighting and multiple fan applications in high-rise buildings.

Abstract: A system comprising: a centralized data acquisition subsystem to receive input data from one or more data silos; a data storage subsystem adapted to process, and store the received input data; a bridge application subsystem to securely ingest the received input data from the centralized data acquisition subsystem into the data storage subsystem; wherein the bridge application subsystem comprises a custom bridge program subscription; a data refining subsystem that is connected to the data storage subsystem and refines the input data acquired by the data storage subsystem, removes abnormal data and stores refined input data after refining; a predictive analytical subsystem is configured to generate output data using the refined input data from the data storage subsystem for processing and computing the input data to create a predictive analysis.

Abstract: A measurement circuit for monitoring at least one parameter of an input signal received from an external signal source includes at least one first measurement element coupled to the input signal and configured to provide an initial measurement signal indicative of a respective one or more of the at least one parameter of the input signal. At least one second measurement element is positioned proximate to the at least one first measurement element and configured to have a characteristic indicative of a stress condition associated with the at least one first measurement element. A compensation circuit is responsive to an output of the at least one second measurement element and to a reference signal to generate a compensation factor that is applied to the initial measurement signal to provide a corrected measurement signal.

Abstract: According to an embodiment, a design support system supports determination of a first design specification of a plant, the system including a memory and a hardware processor. The memory stores therein second design specifications of existing plants in association with first information related to a document(s) concerned with an existing plant. The hardware processor acquires a required specification which includes a part of elements of the first design specification and which indicates value of each element to be satisfied; identifies, based on second information in which an element(s) is/are associated with each condition, an element associated with a condition that matches the required specification; identifies a second design specification corresponding to the required specification based on the element identified; selects an element(s); and extracts, from the first information associated with the second design specification identified, a description related to the element selected.