Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.

Abstract: System and method for guiding a drill using a subsurface model generated by successive full waveform inversions (FWI) on surface data and seismic-while-drilling (SWD) data. A server receives surface data from at least one surface sensor that records elastic energy radiated from surface seismic source and SWD data from at least one surface or at least one subsurface crosswell sensor (i.e., deployed in a nearby well). The server also receives top-drive measurements. A drillbit source signature estimation is performed, on the SWD data, by the server by blind deconvolution or by using drill string modeling and top-drive measurements. The server then performs FWI on the surface data by using the background subsurface velocity obtained by kinematic analysis of surface seismic data, to obtain an updated approximation of the subsurface velocity. The new approximation along with the drillbit source signature is then used when performing FWI on the SWD data.

Abstract: The disclosure notably relates to a computer-implemented method for displaying a simulation. The method includes computing a full simulation. The full simulation includes states. The method further includes computing a reduced model of the computed full simulation. The reduced model includes a basis with elements. Each state of the full simulation is represented by a respective linear combination of basis elements. The method further includes displaying, for at least one state of the full simulation, a part of the respective linear combination. This constitutes an improved method for displaying a simulation.

Abstract: A potential energy surface scanning method and system for the analysis of molecular conformational space includes: judge whether the molecule has adjacent dihedral angles. If there are adjacent dihedral angles, judge whether the adjacent dihedral angles are coupled by QM calculations. If they are judged not to be coupled, then perform one-dimensional potential energy scanning. If judged to be coupled, then perform MM coupling judgment. If the MM calculations determine that the adjacent dihedral angles are not coupled, a one-dimensional potential energy surface scan is performed. If the MM calculation judges that the adjacent dihedral angles are coupled, calculate the coverage of the extreme points on the two-dimensional potential energy surface by the combination of extreme points obtained by scanning the individual one-dimensional potential energy surfaces of the two dihedral angles according to the MM scanning result. If the coverage is good, then perform one-dimensional potential energy surface scanning.

Abstract: A method recognizes objects in an environment of a vehicle including a sensor system having at least one sensor unit for registering the environment and an evaluation unit for evaluating sensor data provided by the at least one sensor unit. The method includes receiving the sensor data in the evaluation unit, the sensor data including a plurality of chronologically successive measurements; inputting the sensor data into a machine learning module; and outputting an object state of at least one object estimated based on the sensor data by way of the machine learning module. The method further includes determining a plurality of chronologically successive future object states based on the estimated object state; ascertaining deviations between the future object states and measurements chronologically corresponding to the future object states based on the sensor data; and correcting a machine learning algorithm of the module based on the deviations.

Abstract: For each circuit element in a pair of launch and capture paths, a parameter value of the circuit element may be modified by a variation amount that is assigned to a class of circuit elements to which the circuit element belongs. Next, a timing slack may be computed for the pair of launch and capture paths.

Abstract: Various aspects involve a lagged prediction model trained for risk assessment or other purposes. For instance, a risk assessment computing system receives a risk assessment query for a target entity and provides an input predictor record for the target entity to a lagged prediction model. The input predictor record includes a first group of lagged values from a first time-series attribute associated with the target entity. The lagged prediction model is trained by implementing a group feature selection technique configured to select the first time-series attribute as input and to deselect a second time-series attribute associated with the target entity. The risk assessment computing system computes an output risk indicator from the input predictor record and transmits the output risk indicator to a remote computing system. The output risk indicator can be used to control access by the target entity to one or more interactive computing environments.

Abstract: A focus following method based on a motion gravity center, a storage medium and a photographing system are provided. The focus following method includes the following steps: S1, acquiring video data captured by a camera within an initial time period; S2, acquiring video data with only a living object within the initial time period; S3, acquiring a motion gravity center image from the video data with only the living object according to a motion gravity center library; and S4, calculating an initial motion direction and an initial motion speed of the motion gravity center image within the initial time period. According to the present disclosure, the calculation amount is greatly reduced, the complex data is simplified, focus following based on the motion gravity center under poor hardware conditions can be can achieved, and requirements of low-cost and mass-production hardware can be satisfied.

Abstract: System and method that allow utilize machine learning algorithms to move a micro-object to a desired position are described. A sensor such as a high speed camera or capacitive sensing, tracks the locations of the objects. A dynamic potential energy landscape for manipulating objects is generated by controlling each of the electrodes in an array of electrodes. One or more computing devices are used to: estimate an initial position of a micro-object using the sensor; generate a continuous representation of a dynamic model for movement of the micro-object due to electrode potentials generated by at least some of the electrodes and use automatic differentiation and Gauss quadrature rules on the dynamic model to derive optimum potentials to be generated by the electrodes to move the micro-object to the desired position; and map the calculated optimized electrode potentials to the array to activate the electrodes.

Abstract: There are provided a device that collects operation data from equipment, and an information processing apparatus that detects an anomaly or an omen of an anomaly of the equipment on the basis of anomaly detection models constructed from the operation data, the information processing apparatus including means for collecting the operation data, means for learning anomaly detection models from the operation data, and means for calculating an anomaly score of respective operation data from the operation data and the anomaly detection models, the means for learning an anomaly detection model in which a dispersion of elements is small among the anomaly detection models.

Abstract: Systems and techniques that facilitate precision-preserving qubit reduction based on spatial symmetries in fermionic systems are provided. In one or more embodiments, a symmetry component can generate a diagonalized second quantization representation of a spatial point group symmetry operation. The spatial point group symmetry operation can be associated with a molecule (e.g., a geometrical rotation, reflection, and/or inversion of a physical molecule that results in a new molecular orientation that is substantially the same as the original molecular orientation). In one or more embodiments, a transformation component can convert the diagonalized second quantization representation into a single Pauli string. In one or more embodiments, a tapering component can taper off qubits in a computational quantum algorithm that models properties of the molecule, based on the single Pauli string.

Abstract: A system and method for accelerated simulation setup includes receiving a description of a new problem for simulation, extracting input data and output data of previous simulation results, generating a representation of data based on the extracted input data and output data, and quantifying similarities between the new problem and the extracted input data and output data to identify a candidate simulation for the new problem. A machine learning component infers a solution output for the new problem based on extrapolation or interpolation of outputs of the candidate simulation, thereby conserving resources by eliminating a simulation generation and execution. Alternatively, an efficient simulation setup can be generated using the queried knowledge, input variables, and input parameters corresponding to the candidate simulation.

Abstract: A system and method are disclosed for campaign planning and include modeling the use of campaign operations and campaignable resources of a supply chain network including a production line to produce products using campaign operations and campaignable resources as campaign planning problems, defining an evaluation function comprising a weighted sum of features evaluated from the campaign planning problem, initializing weights to build a consumption profile and evaluation function, determining fitness values that indicate a level of variability, evaluating reward values based on the fitness values, selecting a sub-sample of the top fitness values having the best associated objective function, repeating the generating, the evaluating and the selecting steps to adjust the weights until a stopping criterion is met indicating an optimal solution has been reached, and determining a campaign plan for the use of the campaign operations and campaignable resource.

Abstract: A system and method are provided for making time domain measurements of a wideband periodic radio frequency (RF) signal using a narrowband measurement instrument operating in a frequency domain. The method includes receiving the periodic RF signal at a single port corresponding to a receiver of the measurement instrument; determining a complex absolute signal having amplitudes and phases of spectral components of the periodic RF signal over an entire bandwidth of the periodic RF signal in the frequency domain; and reconstructing a time domain signal corresponding to the periodic RF signal by transforming the complex absolute signal from the frequency domain to the time domain.

Abstract: An information processing apparatus includes an acquisition unit, a determination unit, and an output unit. The acquisition unit acquires history information of image processing using a plurality of medical images. The determination unit determines, using the acquired history information, whether image processing using a first medical image and a second medical image selected by an operator as an image pair to be used in the image processing has already been performed. The output unit outputs a notification in accordance with a result of the determination.

Abstract: Methods and devices according to various embodiments perform full-wave inversion jointly for datasets acquired at different times over the same underground formation using a time-lag cost function with target regularization terms. This approach improves the 4D signal within reservoirs and suppresses 4D noise outside.

Abstract: A system and method for analyzing a surface of an object is provided. The system includes a 3D measurement device operable to acquire a plurality of points on the surface of the object and determine 3D coordinates for each of the points. The system further includes processors operably coupled to the 3D measurement device. The processors are responsive to computer instructions when executed on the processors for performing a method comprising: generating a point cloud from the 3D coordinates of the plurality of points; extracting a first set of points from the plurality of points; defining a first reference geometry through the first set of points; measuring at least one first metric from each of the points in the first set of points to the first reference geometry; and identifying a nonconforming feature based at least in part on the at least one first metric.

Abstract: The invention relates to a method for classifying spectra of objects having complex information content after recording of the spectra involving the use of a method for preprocessing data and of a method, associated with the data preprocessing, for classification with the calculation of a classifier. After the recording of the spectra and the preprocessing of the spectra, a multiple classification method is thereby performed with at least two different methods for the data preprocessing of the spectra and the method, assigned to the respective data preprocessing, for classification.

Abstract: A simulation method predicts a behavior of a curable composition in a process of bringing droplets of the curable composition arranged on first and second members into contact with each other, and forming a film of the curable composition on the first member. The method includes inputting a physical property value of a gas between the first and second members, inputting a movement profile of the second member with respect to the first member when bringing the droplets of the curable composition on the first and second members into contact with each other, obtaining a pressure of the gas between the first and second members based on the physical property value and the input movement profile, and predicting, based on the pressure, an amount of a residual gas confined among the droplets by the contact between the droplets and the second member.

Abstract: A cross sectional representation of a geological surface is displayed on a display screen. A segment of the cross-sectional representation is edited, and a pseudo log of formation properties based on the edited segment is displayed on the display screen. A determination is made whether formation properties associated with the pseudo log match actual formation properties measured during drilling of a well and a signal is output indicative of the match. A drill operator may use a structural model determined based on the edited geological surface to drill for hydrocarbons in the formation.

Abstract: The present invention relates to methods, systems and kits for the diagnosis, prognosis and the determination of progression of cancer in a subject. The invention also provides biomarkers that define subgroups of prostate cancer, clinically useful classifiers for distinguishing prostate cancer subtypes, bioinformatic methods for determining clinically useful classifiers, and methods of use of each of the foregoing. The methods, systems and kits can provide expression-based analysis of biomarkers for purposes of subtyping prostate cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in subtyping prostate cancer in a subject. Classifiers for subtyping a prostate cancer are provided. Methods of treating cancer based on molecular subtyping are also provided.

Abstract: The present disclosure relates to an Industrial Internet of Things (IoT) system for controlling a production line parameter and a control method thereof. The Industrial IoT system includes an user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, the service platform adopts a centralized arrangement, the management platform adopts an independent arrangement, and the sensor network platform adopts a rear sub-platform arrangement.

Abstract: Subsets of training data are selected for iterations of a statistical model through a training process. The selection can reduce the amount of data to be processed by selecting the training data that will likely have significant training value for the pass. This can include using a metric such as the loss or certainty to sample the data, such that easy to classify instances are used for training less frequently than harder to classify instances. A cutoff value or threshold can also, or alternatively, be used such that harder to classify instances are not selected for training until later in the process when the model may be more likely to benefit from training on those instances. Sampling can vary between passes for variety, and the cutoff value might also change such that all data instances are eligible for training selection by at least the last iteration.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a respective number of totes for each respective order of one or more orders; determining, using a first set of rules, when the respective number of totes for a respective order of the one or more orders can be reduced; when the respective number of totes is determined to be able to be reduced, reducing, using a second set of rules, the respective number of totes for the respective order to a respective reduced number of totes for the respective order of the one or more orders; comparing the respective number of totes for the respective order to the respective reduced number of totes for the respective order; and when the respective number of totes for the respective order is compared to be equal to the respective reduced number of totes for the respective order, facilitating displaying, on an electronic device

Abstract: A method for managing device lifecycles within an industrial automation environment. The method includes receiving a scanning configuration and a request for lifecycle management data through a user interface, and based on the scanning configuration, scanning a plurality of industrial devices within the industrial automation environment to produce configuration data for the industrial automation environment. The method also includes transferring the configuration data and the request for lifecycle management data to a product compatibility and download center through a communication interface, receiving lifecycle management data from the product compatibility and download center through the communication interface, and displaying the lifecycle management data to a user through the user interface.

Abstract: A method for determining a radiotherapy treatment plan can include: receiving anatomical data for a patient; generating, via a neural network analyzing the anatomical data, a plurality of fitness values for a plurality of candidate beam orientations; determining a selected beam orientation based on the plurality of fitness values; performing a fluence map optimization (FMO) process on the selected beam orientation; and determining a dose distribution for the patient based on the FMO process.

Abstract: A computer-implemented method for detecting and monitoring bias in an application includes index training data and obtaining a plurality of correlation values of one or more features in the indexed training data with a target variable. For each of the one or more features, a first value and a favorable result and a second value along with the unfavorable result is calculated. An absolute value of a difference between the calculated first value and the calculated second value is calculated. A total sum of the calculated absolute value of the plurality of correlation values of the one of the one or more features is calculated.

Abstract: Techniques are described for efficiently distributing across multiple computing resources satisfiability modulo theories (SMT) queries expressed in propositional logic with string variables. As part of the computing-related services provided by a cloud provider network, many cloud providers also offer identity and access management services, which generally help users to control access and permissions to the services and resources (e.g., compute instances, storage resources, etc.) obtained by users via a cloud provider network. By using resource policies, for example, users can granularly control which identities are able to access specific resources associated with the users' accounts and how those identities can use the resources. The ability to efficiently distribute the analysis of SMT queries expressed in propositional logic with string variables among any number of separate computing resources (e.g., among separate processes, compute instances, containers, etc.

Abstract: Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc.

Abstract: An apparatus includes a processor to: receive, from a requesting device, a request to perform speech-to-text conversion of a speech data set; within a first thread of a thread pool, perform a first pause detection technique to identify a first set of likely sentence pauses; within a second thread of the thread pool, perform a second pause detection technique to identify a second set of likely sentence pauses; perform a speaker diarization technique to identify a set of likely speaker changes; divide the speech data set into data segments representing speech segments based on a combination of at least the first set of likely sentence pauses, the second set of likely sentence pauses, and the set of likely speaker changes; use at least an acoustic model with each data segment to identify likely speech sounds; and generate a transcript based, at least in part, on the identified likely speech sounds.

Abstract: Apparatus and methods are disclosed for generating, sending, and receiving messages in a networked environment using autonomous (or semi-autonomous) agents. In one example of the disclosed technology, a method of controlling message flow in a computer network comprising a plurality of agents, agent data consumers, and an agent message bridge configured to send messages by receiving a set of messages, at least some of the messages including a message type, queuing the set of messages in a spooler that includes an indication of the respective message type for each of the messages, receive an indication that sending some of the messages queued in the spooler should be delayed for one or more indicated message types, and sending at least one of the messages to a selected one or more of the agent data consumers, the sent messages not being of the indicated message types.

Abstract: A behavior recognition device for recognizing behaviors of a semiconductor manufacturing apparatus includes a storage device and a control unit. The storage device is configured to store log data of the semiconductor manufacturing apparatus. The control unit is cooperatively connected to the storage device, and configured to build a transition state model based on the log data to analyze behaviors related to wafer transfer sequences and manufacturing operations of the semiconductor manufacturing apparatus.

Abstract: The present invention discloses a model-free optimization method of process parameters of injection molding to solve the problems of frequent tests required and performing adaptive adjustment on different parameters in the existing optimization method. The method need not build a surrogate model between a product quality index and a process parameter to render the process parameter to converge nearby the optimal solution by an on-line iteration method. The present invention calculates the gradient direction of a current point by an iterative gradient estimation method, and uses adaptive moment estimation algorithm to allocate an adaptive step for each parameter. The method can significantly reduce the cost and time required in the process parameter, which greatly helps improving the optimization efficiency of process parameters of injection molding.

Abstract: The present disclosure provides a method for evaluating a heat sensitive structure. The method includes identifying a heat sensitive structure in an integrated circuit design layout and identifying a heat generating structure in the integrated circuit design layout. The method also includes calculating an operating temperature of the heat generating structure by taking a practical current distribution into consideration. The method also includes calculating an anticipated temperature increase for the heat sensitive structure induced by thermal coupling of the heat generating structure at the operating temperature.

Abstract: Disclosed are techniques for evaluating a condition in a CAP report.

Abstract: Modeling cross-sections of yarn may include receiving yarn simulation input comprising a descriptive model of a general curvature followed by the yarn, providing a plurality of fibers distributed radially from the center of a ply, setting a base position based on parameters, applying a strain model to simulate the effect of stretch forces applied to the yarn, and outputting a yarn model indicating position and directionality of fibers in the yarn. The technology also relates to real-time modeling of a garment comprising a fabric. For instance, real-time modeling of a garment may include providing an input associated with one or more parameters of the fabric, receiving frames of a computer simulated garment, the computer simulated garment including a simulation of the fabric, the fabric simulation including yarns simulated based on a yarn model.

Abstract: A system for determining a calculation utilizing differential privacy including an interface and a processor. The interface is configured to receive a request to determine result data of a calculation using multitenanted data. The multitenanted data comprises tenant data associated with a plurality of tenants. The processor is configured to: determine the result data by performing the calculation on the multitenanted data; determine whether a deterministic modification is needed to ensure privacy based at least in part on whether a number of participants in the result data is less than a threshold; and in response to determining that the deterministic modification is needed to ensure privacy: determine the deterministic modification; numerically modify the result data using the deterministic modification to determine modified result data; and provide the modified result data.

Abstract: In a three-dimensional image display method, a processor acquires first three-dimensional data and second three-dimensional data of a subject from a recording medium. The processor converts a first three-dimensional coordinate system of the first three-dimensional data and a second three-dimensional coordinate system of the second three-dimensional data into a three-dimensional common coordinate system on the basis of structure information related to a geometric structure of the subject. The processor displays an image of the first three-dimensional data in the common coordinate system and an image of the second three-dimensional data in the common coordinate system on a display.

Abstract: An information processing apparatus acquires first physical makeup information representing a physical makeup of a first object. The first physical makeup information is information generated based on images obtained by imaging the first object with a plurality of imaging apparatuses in a plurality of directions. The information processing apparatus acquires second physical makeup information representing a physical makeup of a second object and motion information representing motion of a plurality of parts of the second object. The information processing apparatus generates motion information associated with the first physical makeup information based on the second physical makeup information and the motion information relating to the second object.

Abstract: A virtual data acquisition component generates a building performance model having a plurality of predicted building performance metrics. A physical data acquisition component obtains a plurality of trended building performance metrics. An integrated interface receives the building performance model from the virtual data acquisition component having the plurality of predicted building performance metrics and the plurality of physical building performance metrics from the physical data acquisition component. The integrated interface enables the comparison of the predicted building performance consumption metrics with the trended building performance metrics to identify performance gaps.

Abstract: Systems and methods include a computer-implemented method for generating a detailed heterogeneities map of a main reservoir. Pressure data for multiple wells of a main reservoir is received during a simultaneous field shut-in of the multiple wells. A scaled rate of change of pressure for each well is determined using the pressure data for each well. Rates of change of pressure for the multiple wells are plotted using the scaled rates of change of pressure. Clusters of wells having rates of change of pressure within a threshold difference of other wells in a given cluster are determined based on the plotting. A detailed heterogeneities map of the main reservoir is generated based the clusters of wells. The heterogeneities map defines heterogeneous regions. Each region contains a set of wells assigned to the heterogeneous region based on the wells having similar rates of change of pressure.

Abstract: The nonlinearity of power amplifiers (PAs) has been a severe constraint in performance of modern wireless transceivers. This problem is even more challenging for the fifth generation (5G) cellular system since 5G signals have extremely high peak to average power ratio. Nonlinear equalizers that exploit both deep neural networks (DNNs) and Volterra series models are provided to mitigate PA nonlinear distortions. The DNN equalizer architecture consists of multiple convolutional layers. The input features are designed according to the Volterra series model of nonlinear PAs. This enables the DNN equalizer to effectively mitigate nonlinear PA distortions while avoiding over-fitting under limited training data. The non-linear equalizers demonstrate superior performance over conventional nonlinear equalization approaches.

Abstract: The present invention concerns an array processing image reconstruction method comprising: receiving a set of echo waveforms as measurements from the object of interest; defining a measurement model linking an unknown image of the object to the measurements; defining a data fidelity functional using the measurement model; defining a regularisation functional using a trained non-linear mapping, the regularisation functional comprising prior knowledge about the unknown image; defining an optimisation problem involving the data fidelity functional and the regularisation functional for obtaining a first image estimate of the unknown image; and solving the optimisation problem to obtain the first image estimate.

Abstract: A method may include obtaining, at a server or analysis device, sensor data comprising at least one of vibration data and impulse data from one or more sensor devices coupled to a first utility infrastructure; obtaining training sensor data associated with at least one of the first utility infrastructure from a previous time period and one or more second utility infrastructures; comparing the sensor data with the training sensor data associated with the at least one of the first utility infrastructure from the previous time period and the one or more second utility infrastructures; and identifying or predicting a fault occurrence associated with the first utility infrastructure based on the comparing the sensor data associated with the first utility infrastructure to the training sensor data associated with the at least one of the first utility infrastructure from the previous time period and the one or more second utility infrastructures.

Abstract: A system for assessing relative performance among a plurality of heating, ventilation, or air condition (HVAC) assets, the system comprising a processing circuit configured to identify a peer group comprising two or more of the plurality of HVAC assets having a common characteristic, generate values of a peer metric for the HVAC assets in the peer group based on corresponding operation data associated with the HVAC assets, perform a weighted outlier detection process using the values of the peer metric, and initiate an automated action in response to detecting an outlier HVAC asset.

Abstract: The present disclosure provides systems and methods for optimized control of renewable energy powerplants (REPP). A method may include partitioning an REPP into at least two partitions for a period of time; defining a first bidding strategy of a first partition of the at least two partitions for the period of time, wherein the first partition includes a first allocation of capacity; defining a second bidding strategy of a second partition of the at least two partitions for the period of time, wherein the second partition includes a second allocation of capacity; generating a first score for the first bidding strategy of the first partition and a second score for the second bidding strategy of the second partition; adjusting the at least two partitions based on the first score and the second score; and discharging energy from the REPP according to the adjusted at least two partitions.

Abstract: A system and method for adding interface protection to an electronic design using parameters. The electronic design and interface protection scheme are defined as parameters. An interface protection model creates interface protection implementation parameters that describe the implementation details of the interface protection. A hardware description model uses the electronic design parameters and the interface protection implementation parameters to create a hardware description. The interface protection scheme can be a built-in protection scheme, a user defined scheme, a scheme that includes place holders that the user may define later, and a combination of the preceding. The interface protection scheme may contain components to help with the retiming of the description of hardware.

Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: A method of identifying a system, the method comprising: obtaining an indication of background noise present at the system; generating a probe signal based on the indication; applying the probe signal to the system; estimating a response of the system to the probe signal; and identifying the system based on the measured response and the probe signal, wherein the probe signal comprises a whitening component configured to whiten noise in the estimated response due to the background noise present at the system.

Abstract: Described herein is a performance engineering maturity model (PEMM) system that can be implemented in a computer network to improve upon or overcome performance engineering issues within information technology (IT) systems of organizations.