Abstract: The external heterogeneity in the Discrete Event System Specification (DEVS) for simulators refers to the ability to incorporate different types of models, each with potentially different behaviors, into a single simulation environment. In the DEVS framework, a system is composed of multiple individual models, each representing a component of the system. These models can be either atomic (cannot be decomposed further) or coupled (composed of other models). This gives DEVS its hierarchical nature. The atomic or coupled models can in DEVS Markov models be fundamentally different from each other. For example, one model might represent a deterministic rule-based decision process, while another model might represent a probabilistic random variable generator. These models have different state variables, different event sets, and different transition functions, but they can still interact with each other within the same simulation.

Abstract: Methods and systems are described herein for identifying matching parameters of groups of nodes in graphical representations. The system may generate, in a graphical user interface, a graphical representation of nodes representing users associated with an entity. The system may activate the graphical representation as links connecting pairs of nodes, with the links representing interactions between users. The system may identify a grouping of nodes having a level of local clustering indicative of undesired activity. The system may determine graphical parameters relating to the level of local clustering and may identify the same graphical parameters in other groupings of nodes in other graphical representations. The system may thus identify indications of undesired activity based on matching parameters of groups of nodes.

Abstract: Provided is a computer-implemented method for controlling an operation of a technical system automatically, including at least the steps of: acquiring information about a modified configuration of at least one sub-system included in the technical system; generating a virtual model of the technical system including the at least one sub-system with the modified configuration for an evaluation of the operation; adjusting the virtual model to provide a control instruction for the operation of the technical system, wherein the adjusted virtual model is configured to compare an evaluation value acquired from the evaluation with a target requirement in a cryptographic and to derive the control instruction based on the comparison; and controlling the operation of the technical system based on the control instruction.

Abstract: A method may include obtaining data representing flow rates for a plurality of flow control devices. The method also includes determining total molar rates for a plurality of flows through pipe segments associated with each of the flow control devices based on the obtained data. The method also includes determining initial flow control device constraints based on the total molar rates for the plurality of flow control devices. The method also includes determining that one or more wellhead constraints would be violated based on the flow control device constraints. The method also includes determining adjusted flow control device constraints that result in the satisfaction of one or more wellhead constraints or constraints of others of the plurality of flow control devices. The method also includes determining an adjusted flow rate based on the adjusted device constraints that satisfy the wellhead and the flow control device constraints.

Abstract: A system for detecting and warning a user of an object in a path of a vehicle includes a detection module configured to detect an object in a path of a vehicle, and a control module in communication with the detection module. The control module is configured to receive vehicle data from one or more vehicle sensors, determine a height of the detected object, determine a ground clearance of the vehicle based on the received vehicle data, and in response to the height of the detected object being greater than a threshold based on the ground clearance of the vehicle, generate a signal to notify the user of the detected object. Other examples systems and methods for detecting and warning a user of an object in a path of a vehicle are also disclosed.

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: Method for non-invasively characterizing a heterogeneous medium using ultrasound, comprising a step of generating a series of incident ultrasonic waves, a step of recording an experimental reflection matrix Rui(t) defined between the input emission basis (i) and an output reception basis (u), a step of determining a response REP(r,?r) of the medium between an input virtual transducer (TVin) calculated based on an input focusing of the experimental reflection matrix that creates an input focal spot around a first point (P1), and an output virtual transducer (TVout) calculated based on an output focusing of the experimental reflection matrix that creates an output focal spot around a second point (P2), said response being expressed as a function of a central point (PC) of spatial position (r) in the medium located midway between the first and second points (P1, P2).

Abstract: A system for optimizing the positioning of a vehicle seat includes: a module for obtaining and saving at least one morphological parameter of a passenger on the seat; a seat positioning adjustment module having at least one sensor within the vehicle, controlling the positioning; and a module for determining the positioning adjustment to be applied as a function of the morphological parameter. The system is configured to: determine at least one adjustment change that optimises passenger comfort to be applied during vehicle operation, automatically alter the position of the seat to achieve the adjustment change, or signal the passenger of the adjustment change to be applied, via an interaction module, and guide the passenger to manually achieve the adjustment change, via a predetermined sound or light signal.

Abstract: Methods and systems of using at least one hardware processor to train a machine learning algorithm to identify one or more predictive drug molecular features and/or predictive gene biomarkers for cancer treatment is provided. In some embodiments, the method uses at least one cancer drug discovery data set to train at least one learning algorithm in a prediction model, and uses a xenograft mouse model to validate the prediction model, with biological response fed back to the prediction model to further train the learning algorithm.

Abstract: A method for characterizing organic matter in a geological rock formation includes performing a Raman spectroscopy measurement on a rock sample to acquire a Raman spectrum of the rock sample. The method includes analyzing the Raman spectrum of the rock sample to determine data characterizing at least one Raman spectral feature corresponding to the rock sample, inputting the data characterizing the at least one Raman spectral feature corresponding to the rock sample into a computation model that determines a value of a property of organic matter in the rock sample, and storing or outputting or displaying the value of the property of organic matter in the rock sample. In embodiments, the property of organic material in the rock sample can be a property of kerogen in the rock sample, or a property of asphaltenes or bitumen in the rock sample.

Abstract: An approach for providing a lower cost real time location system in less trafficked areas of a building. This approach uses on-board audio capabilities of a mobile device to receive a room response trace resulting from a self-generated acoustic signal. By comparing the room response trace to a modeled room response trace, the location of the mobile device is determined.

Abstract: A real-time technique for identifying truth-telling data in a data stream includes determining, based on a situational map of the data stream, an expected range of values for incoming data points associated with a trend in the data stream. The technique further includes receiving, in the incoming data points, a data point that is outside the expected range of values. The data point that is outside the expected range of values is stored for an analysis of the trend after receiving more of the incoming data points. The analysis of the trend is executed using the data point that is outside the expected range of values for the analysis to indicate whether the trend in the data stream has changed.

Abstract: An information processing apparatus for editing a document including first and second types of different objects. The apparatus includes at least one processor and at least one memory coupled to the at least the processor and having stored thereon instructions, when executed by the at least the processor, and cooperating to act as a change unit configured, based on a user instruction, to change a paper size of the document from a first paper size to a second, different from the first, and an adjustment unit configured to adjust a size of the object included in the document based on the second. The adjustment unit adjusts the size of a first type of object in the plurality of objects such that an aspect ratio of the specific object is maintained and an aspect ratio of the second type of object corresponds to an aspect ratio of the second paper size.

Abstract: A design support method capable of accurately obtaining predicted values, while also considering production conditions of a metal material, and of reducing the time required for design is provided. The design support method uses a calculator to support design of metal material with desired characteristics and includes searching for design conditions yielding the desired characteristics using a prediction model for predicting a characteristic value of the metal material from the design conditions, the prediction model being constructed based on past performance data associating the design conditions, including chemical composition and production conditions of the metal material, with the characteristic value. The design support method also includes presenting at least the chemical composition and production conditions among the design conditions that are searched for and correspond to the desired characteristics.

Abstract: To easily evaluate the performance of an earphone-type device used for otoacoustic authentication at low cost. A generation unit (31) generates earhole shape data indicating the three-dimensional shape of an individual's ear canal, on the basis of data on the internal structure of an individual's earhole, a center line calculation unit (32) calculates the center line of the ear canal, on the basis of the ear canal shape data, and a dividing unit (33) divides the ear canal into a plurality of layers perpendicular to the center line, and calculates, for each of the divided layers, parameters indicating the shape of the ear canal.

Abstract: A model predictive maintenance (MPM) system for building equipment includes one or more processing circuits including one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include obtaining one or more performance indicators for the building equipment and determining whether a trigger condition has been satisfied based on the one or more performance indicators. The operations include triggering a model predictive maintenance process to generate a maintenance schedule for the building equipment in response to determining that the trigger condition has been satisfied. The operations include initiating a maintenance activity for the building equipment in accordance with the maintenance schedule.

Abstract: Aspects of the present disclosure relate to a well analog recommendation system. The well analog recommendation system may generate numerical representations indicative of text-based descriptions within a well report and/or well log associated with a well. Further, the well analog recommendation system may generate a well analog output that may include one or more text-based characterizations associated with one or more additional wells that are determined based on the numerical representation. For example, the well analog recommendation system may compare the numerical representation of the well to one or more numerical representations associated with the one or more additional wells and output the one or more text-based characterizations when the numerical representations are approximately equal or above a threshold.

Abstract: A method for generating a representation of a three-dimensional protective device includes accessing a scan of anatomical data of a target and identifying a reference model of a closest size or proportion to a size or proportion of the target. The method further includes creating a boundary of a three-dimensional protective device using the reference model and the scan of anatomical data of the target. Additionally, the method includes generating a representation of a continuous, three-dimensional surface of the three-dimensional protective device that corresponds to the scan of anatomical data and the reference model within the boundary of the three-dimensional protective device.

Abstract: Drilling parameters for a wellbore operation can be determined based on resonance speeds. For example, a system can receive real-time data for a drilling operation that is concurrently occurring with receiving the real-time data. The system can determine, for a drilling depth, a rotations-per-minute (RPM) value corresponding to a resonance speed based on a weight-on-bit (WOB) value and the real-time data. The system can generate a plot of the WOB value and the RPM value corresponding to the resonance speed. The system can determine drilling parameters for the drilling operation based on the plot. The drilling parameters can exclude, for the WOB value, the RPM value corresponding to the resonance speed.

Abstract: Disclosed are a computer-implemented method, a system and a computer program product for model exploration. Model feature importance of each model of a plurality of models can be obtained, the plurality of models can be grouped into a plurality of model clusters based on the model feature importance of each model, and the model feature importance can be presented by box-plot or confidence interval.

Abstract: A system for a water generation apparatus of a vehicle includes a sensing device that detects an environmental condition of a geographical area associated with the vehicle. A display device is configured to present a depiction of the geographical area. A controller is in communication with the sensing device and the display device. The controller is configured to determine at least one water generation estimate for the water generation apparatus based on the environmental condition and the geographical area. The controller is further configured to generate a modified representation of the geographical area based on the at least one water generation estimate and the depiction of the geographical area. The controller is further configured to communicate an instruction to present the modified representation at the display device.

Abstract: Systems and methods for an enterprise computing platform may include a server that may include a desktop-as-a-service module, a user behavior analytics module, a remote monitoring and management module, an analytics-as-a-service module, an insider threat prevention and monitoring module, and a project tracker module. The server or modules may provide remote desktop sessions in an efficient and convenient manner, may analyze user behavior and automatically execute corrective actions in response to rules violations, and may monitor and manage multiple computer systems and computing sessions as to their statuses, versions, authentication, or compliance.

Abstract: Methods, systems and computer readable media for estimating ampacity of single and multiple bare overhead conductors in a range of ambient temperatures within a single simulation, are described.

Abstract: This disclosure describes techniques for identifying users that are enrolled for use of a user-recognition system and updating enrollment data of these users over time. To enroll in the user-recognition system, the user may initially scan his or her palm. The resulting image data may later be used when the user requests to be identified by the system by again scanning his or her palm. However, because the characteristics of user palms may change over the time, the user-recognition system may continue to build more and more data for use in recognizing the user, in addition to removing older data that may no longer accurately represent current characteristics of respective user palms.

Abstract: A processor may receive user information for a request payload from an external device and data describing a plurality of user interface (UI) elements configured to be presented in a UI of the external device. The processor may select a machine learning (ML) model from a plurality of ML models using a contextual bandit ML model that is trained based on the user information. The processor determines at least one recommended user interface (UI) element with a selected ML model, based on the user information and the data describing the plurality of UI elements. The at least one recommended UI element may be presented in the UI of the external device. The processor may receive event data indicating a user interaction with the at least one recommended UI element in the UI of the external device. The contextual bandit ML model may be re-trained based on the event data.

Abstract: At a machine learning service, a determination is made that an analysis to detect whether at least a portion of contents of one or more observation records of a first data set are duplicated in a second set of observation records is to be performed. A duplication metric is obtained, indicative of a non-zero probability that one or more observation records of the second set are duplicates of respective observation records of the first set. In response to determining that the duplication metric meets a threshold criterion, one or more responsive actions are initiated, such as the transmission of a notification to a client of the service.

Abstract: The present disclosure belongs to the field of computational hydraulics and aims at providing a construction method and system for a hydrodynamic joint computation model, a device, and a medium.

Abstract: In one embodiment, a method to monitor a patient's heart health is described. The method may include processing at least one electrocardiogram (ECG) signal and diagnosing an episode of nonsustained ventricular tachycardia (NSVT) based at least in part on the processing of the at least one ECG signal. In some embodiments, the NSVT episode may satisfy an NSVT time duration and a QRS criterion. The NSVT time duration may be between 5 seconds and 15 seconds. In some instances, the QRS criterion may be a temporary QRS template of two sequential incoming QRS complexes. In some embodiments, the method may determine a similarity between the temporary QRS template and at least two subsequent QRS complexes by calculating a feature correlation coefficient between the QRS template and the subsequent QRS complexes.

Abstract: A device applies a pre-function w=P(x) to an input signal x to obtain a first result w and applies a LUT to the first result w, wherein the LUT represents a main function ƒw(w) defined for a second grid of values Gw such that the pre-function P(x) is piecewise defined on a first grid Gx of signal values, where Gw=P(Gx). The device can further obtain the pre-function P(x), piecewise defined on the first grid Gx of the signal x and calculate the LUT with the second grid Gw=P(Gx). The piecewise pre-function P(x) can be obtained from a second pre-function Q(x) by applying Q(x) to signal values x to calculate the second grid Gw=Q(Gx) and defining the pre-function P(x) piecewise on the first grid Gx by linear interpolation of the values of the second grid Gw such that P(Gx)=Q(Gx).

Abstract: Systems and methods for intraoperative implant fit analysis and longevity prediction for a prosthetic implant to be integrated with the physiological tissue of a patient, the method comprising the steps of: collection of data via a plurality of sensors situated in proximity to the tissue and implant and a plurality of data sources; determining tissue and implant state and morphology based on the collected data; generating compatibility information between the tissue and implant based on the determined tissue and implant state and morphology; processing compatibility information into a form adapted for evaluation against a pre-determined comparator; generating a means of predicting postoperative implant performance and longevity utilising the historical dataset of comparison information and postoperative results; and generating and providing corrective information for alteration of the tissue state and morphology for improved postoperative implant performance and longevity.

Abstract: A method for adapting a transfer function of an active suspension of a vehicle comprises the vehicle driving along a section of road for which a surface profile is stored in a control unit of the vehicle. The active suspension is activated according to a predetermined transfer function for adaptation to the surface profile by means of adjustment values in order to compensate for unevenness of the surface profile. A shock absorber sensor system and/or a tire sensor system of the vehicle is used to record vertical accelerations while driving along the section of road and transfer them to the control unit. The invention provides that the adjustment values and the vertical accelerations are transferred by the vehicle to an external central computer.

Abstract: A system and method for controlling an automated process based on a time series of count data. The approach includes characterizing an observed time series of counts by modeling the underlying dynamics that give rise to the observed data, including evaluating the time series with a driver estimation process, wherein the driver estimation process identifies a model by an iterative process that includes: providing a probability model; and utilizing a combined MCMC and EM algorithm to determine a set of model parameters for the time series; outputting an estimated sequence of driver values based on the identified model; outputting a series of statistically plausible future counts, and controlling the automated process based on the estimated sequence of driver values.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes obtaining one or more design criteria for a modeled object including at least one design constraint; calculating a series of target values for the at least one design constraint, from an initial target value to a final target value; iteratively modifying a generatively designed three dimensional shape of the modeled object in the design space, wherein the iteratively modifying comprises performing numerical simulation of the modeled object, computing shape change velocities for an implicit surface in a level-set representation of the three dimensional shape in accordance with respective ones of target values in the series of target values, starting from the initial target value and ending with the final target value, and updating the level-set representation using the shape change velocities.

Abstract: An object recognition method using queue-based model selection and optical flow in an autonomous driving environment includes preprocessing data through a dense flow in a matrix form by calculating an optical flow of images captured consecutively in time by a sensor for an autonomous vehicle, generating a confidence mask by generating a vectorized confidence threshold representing a probability that there is a moving object for each cell of the preprocessed matrix, determining whether there is a moving object on the images by mapping the images captured consecutively in time to the confidence mask, and selecting an object recognition model using a tradeoff constant between object recognition accuracy and queue stability in each time unit. Accordingly, it is possible to improve the performance of object recognition in an autonomous driving environment by applying the optical flow to the confidence threshold of the object recognition system.

Abstract: According to a storage battery of an embodiment includes a first battery module and a second battery module connected in parallel with the first battery module. The number of first cells connected in series in the first battery module is M, and the number of second cells connected in series in the second battery module is N. When an open circuit voltage at SOC=X % of the first cells and the second cells are Va1 (X) and Va2 (X), respectively, the voltages of the battery modules are M×Va1 (X)<N×Va2 (X) in the range where the SOC of the cell is 0% to 30%, and M×Va1 (X)>N×Va2 (X) in the range where the SOC of the cell is 70% to 100%.

Abstract: Measurement data are produced by measuring characteristics of a semiconductor device. Target parameters are selected among a plurality of parameters of a device model where the device model is configured to perform a simulation based on device data and output simulation result data indicating the characteristics of the semiconductor device. Initial value sets corresponding to different combinations of initial values of the target parameters are selected. Local minimum values are determined based on reinforcement learning. Each local minimum value corresponds to a minimum value of a difference between the measurement data and the simulation result data with respect to each initial value set. Optimal values of the target parameters are determined based on the plurality of local minimum values.

Abstract: Systems and methods for operating a robot. The methods comprise: performing, by a processor, operations to detect an object that is moving; identifying, by the processor, detected behavior of the object that constitutes an unrecognized behavior; predicting, by the processor, future movement of the object based on a circle having a radius that is function of a velocity of the object; and controlling operations of the robot based on the predicting.

Abstract: A computer implemented method for determining performance of a semiconductor device is provided. The method includes providing training data comprising input state values and training capacitance values to a neural network executing on a computer system; processing the input state values through the neural network to generate modeled charge values; converting the modeled charge values to modeled capacitance values; determining, by the computer system, whether the training capacitance values of the training data are within a threshold value of the modeled capacitance values utilizing a loss function that omits the modeled charge values; and in response to determining that the training capacitance values of the training data are within the threshold value of the modeled capacitance values, converting, by the computer system, the neural network to a circuit simulation code to generate a converted neural network.

Abstract: Disclosed are apparatuses, systems, and techniques that enable compressed grid-based graph representations for efficient implementations of graph-mapped computing applications. The techniques include but are not limited to selecting a reference grid having a plurality of blocks, assigning nodes of the graph to blocks of the grid, and generating a graph representation that maps directions, relative to the reference grid, of nodal connections of the graph.

Abstract: Ship structural ultimate bearing analysis and design research is involved. A method for implementing ultimate strength analysis of plate frame structure based on isogeometric analysis includes the following steps: according to the plate frame structure, constructing an IGA model, wherein the IGA model comprises several plane shell elements; carrying out a coordinate transformation on the plane shell elements; carrying out a weak coupling on boundaries of transformed plane shell elements by Nitsche method and carrying out a mesh refinement; setting material properties, loads and boundary conditions of refined plane shell elements, and constructing a nonlinear equation according to setting results; and solving the nonlinear equation by Newton-Raphson iteration method, and carrying out a simulation analysis by NX software to obtain an ultimate strength of the plate frame structure.

Abstract: A multi-scale prediction method for an ablation behavior of a hypersonic aircraft heat resistant structure, includes inputting hypersonic inflow far field boundary conditions into a macro CFD solver to perform numerical simulation of the external flow field of a hypersonic aircraft; extracting the mass fraction and temperature distribution of wall surface components; obtaining an msd.txt file and an atomic path file recording the mean square displacement data through a micro RMD solver; obtaining the ratio of mass loss rate to material density, namely, the ablation retreating rate using the MSD method and Fick's law; inputting it into a CFD solver for performing grid reconstruction and transient calculation to obtain the transient variation in the external flow field of a hypersonic aircraft along the ablation retreating of the aircraft wall surface.

Abstract: Disclosed techniques relate to acceleration data structure for ray intersection testing. In some embodiments, storage circuitry stores node data for a spatially organized acceleration data structure, including to store the following node information for a given node: origin coordinates for the node and, for a given child node of multiple child nodes, child information that includes: quantized bounding region information for a bounding region corresponding to the child node, where the quantized bounding region information encodes bounding region coordinates as offsets relative to the origin coordinates. Traversal circuitry may traverse multiple nodes of the data structure and determine whether a ray intersects a bounding region indicated by given a node of the data structure based on the node information. Disclosed techniques may provide substantial improvements to performance, data size, and power consumption.

Abstract: An arrangement includes a supply unit of an industrial control system and a superordinate computing unit assigned to the supply unit. The supply unit includes an electronic assembly which includes an electronic component. The supply unit is configured to calculate a first temperature of the electronic component using a first thermal model. The superordinate computing unit is configured to calculate a second temperature of the electronic component using a second thermal model when the supply unit is without current, with the supply unit providing the superordinate computing unit with relevant data for a calculation of the second thermal model. The supply unit and the superordinate computing unit interact in such a way that at least one of the first temperature and the second temperature of the electronic component is calculated.

Abstract: A system(s), a computer-implemented method(s) and/or computer executable instructions encoded on a computer readable medium(s) obtains, for groups of a scan series for a subject, scout images for the subject that were acquired prior to planning the scan series and that include images of arms of the subject in different positions relative to the subject, designates, for each group of the groups, a scout image of the scout images with a position of the arms of the subject that corresponds to a position of the arms of the subject in the group as the reference image for X-ray source current modulation for the group, and utilizes the designated scout images for X-ray source current modulation for the series.

Abstract: A derivation method includes: an acquisition step of acquiring time-series data including a physical quantity generated at a predetermined observation point in a structure as a response caused by a movement of a formation moving object formed with one or more moving objects on the structure; an environment information acquisition step of acquiring, as environment information, information on a structure length that is a length of the structure, a moving object length that is a length of the moving object, and an installation position of a contact portion of the moving object with the structure; a fundamental frequency derivation step of deriving a fundamental frequency of the time-series data based on the time-series data; a passing period derivation step of deriving a passing period during which the formation moving object passes through the structure based on the time-series data; and a number derivation step of deriving the number of the moving objects included in the formation moving object based on the en

Abstract: A method of a drilling string assembly for drilling small-diameter branched channels, including installation of operating elements arranged in a dynamically perturbed section of a loaded part of the drilling string. Moreover, a drilling string assembly, comprising oscillators arranged as coupled oscillators, a bit, a spindle section of a bottom-hole motor, power sections of a screw bottom-hole motor, assemblies of rigid and flexible pipes, as well as a device for regulating the axial load, are installed on a test bench. Bench tests are carried out according to modelled programs of possible emergency or non-emergency operating modes of the assembly, both as a whole and of the separate elements.

Abstract: In the optical product bending prediction method according to the present invention, bending ? of a substrate having a film is predicted by a computer performing calculation (steps S11 to S13) of the following Expressions (A1), (B1), etc., in which a and Td are set as fitting parameters and have been optimized in each coating condition using a plurality of samples. Here, ?int is intrinsic stress, Ef is a Young's modulus of a multilayer film, vf is a Poisson's ratio of the multilayer film, ?f is a linear coefficient expansion of the multilayer film, ?s is a linear coefficient expansion of the substrate, T is a room temperature, d is a film thickness, b is a substrate thickness, l is a radius of the substrate, Es is a Young's modulus of the substrate, and vs is a Poisson's ratio of the substrate.

Abstract: Systems and methods for automatically generating solver code for a nonlinear model predictive controller are disclosed. In one embodiment, a method of automatically generating solver code for a nonlinear model predictive control solver includes receiving an optimal control problem code, wherein the optimal control problem code represents an optimal control problem comprising a cost function, one or more constraints, and a continuous time model representing dynamics of a system. The method further includes receiving a discretization method preference, a linearization point preference, and a parameter specification, and encoding the optimal control problem into an optimization problem by discretizing the optimal control problem according to the discretization method preference, and linearizing the optimal control problem according to the linearization point preference. The method further includes generating the solver code from the optimization problem.

Abstract: A method and system for disposing a fluid sampling tool into a wellbore, taking a plurality of fluid samples with the fluid sampling tool, identifying a plurality of asphaltene onset pressures (AOP) downhole based at the least on the plurality of fluid samples. The method may further comprise forming an AOP map from at least the plurality of AOPs, identifying a laboratory property from at least one of the plurality of fluid samples; and developing a relational model between at least one of the plurality of AOPs and the laboratory property. The system may include a fluid sampling tool with one or more probes for injecting the one or more probes into a wellbore and taking a plurality of fluid samples from the wellbore.

Abstract: The present concept relates to a first principle-derived effective mass approximation simulation technology for accurate and efficient computational simulation of an optical property of a quantum nanostructure including creating an effective mass approximation (EMA) parameter through first principle density functional theory (DFT) calculation for a model nanostructure corresponding to a simulation target quantum nanostructure, performing EMA calculation using the EMA parameter created through the DFT calculation, and acquiring the optical property of the quantum nanostructure based on an electronic structure generated through the EMA calculation.