The invention relates to a computer implemented method and tool for determining pressure-drop in multiphase pipeline flow where the effective surface roughness, k.sub.eff, of liquid film coated sections of the inner pipeline wall is assumed to be equal to the maximum hydraulic roughness, k.sub.s.sup.max. The maximum hydraulic roughness is further assumed to be proportional to a maximum stable droplet size, d.sub.droplet.sup.max, i.e.: k.sub.eff=k.sub.s.sup.max=K.Math.d.sub.droplet.sup.max, where K is a correlation coefficient. The invention further relates to applying the computer implemented method for designing a pipeline-based fluid transport system for transport of multiphase fluids.

A method for determining a deformation of a resist in a patterning process. The method involves obtaining a resist deformation model of a resist having a pattern, the resist deformation model configured to simulate a fluid flow of the resist due to capillary forces acting on a contour of at least one feature of the pattern; and determining, via the resist deformation model, a deformation of a resist pattern to be developed based on an input pattern to the resist deformation model.

Methods, systems, and apparatus, including medium-encoded computer program products, for designing three dimensional lattice structures include, in one aspect, a method including: obtaining a mechanical problem definition including a 3D model of an object; generating a numerical simulation model for the 3D model of the object using one or more loading cases and one or more isotropic solid materials identified as a baseline material model for a design space; predicting performance of different lattice settings in different orientations in the design space using a lattice structural behavior model in place of the baseline material model in the numerical simulation model; and presenting a set of lattice proposals for the design space based on the predicted performance of the different lattice settings in the different orientations; wherein the lattice structural behavior model has been precomputed for the different lattice settings, which are generable by the 3D modeling program.

Disclosed is a near-seabed video data positioning correction method based on an ultra-short baseline, comprising the following steps: acquiring ultra-short baseline positioning data; eliminating abnormal data in the ultra-short baseline positioning data, establishing a four-dimensional elimination model, and eliminating the abnormal data in X, Y and Z directions; modeling the correction method of the recombined ultra-short baseline positioning data after removing abnormal data; obtaining the positioning data of the camera drag with specified precision by simulation. The application realizes the positioning correction of video data under the existing conditions and established operation modes, and eliminates, simulates and corrects the error data generated by the time change of ultra-short baseline data used for video positioning in the heading and other directions by integrating and using various survey data, so as to position the near-bottom video data.

Rotating machinery is evaluated by calculating a boundary condition based on a measured value of a parameter related to an operating state of the rotating machinery, and calculating an evaluation value corresponding to the calculated boundary condition based on the reduced order model, during operation of the rotating machinery. The reduced order model is created based on a prediction model including a heat transfer model and a structural model of the rotating machinery for predicting an evaluation value of the rotating machinery corresponding to the boundary condition.

A computer-implemented method includes receiving, in computer memory, a first test data set that comprises results of a real-world test of a material, where the first test data set comprises a plurality of test data points. The method further includes identifying one or more critical points among the test data points in the first test data set and processing the first test data set with a computer processor to produce a second test data set with differing (e.g., fewer) test data points than the first test data set, wherein the second test data set includes all the test data points that were identified as critical points in the first test data set and at least some other data points.

A method for predicting a specific energy of a cutter head of a tunnel boring machine includes obtaining a parameter of the tunnel boring machine to be measured configured to influence the specific energy of the cutter head to be measured, and inputting the obtained parameter of the tunnel boring machine to be measured into a model for predicting the specific energy of an apparatus to obtain a total predicted specific energy value of the cutter head and a proportion of each component of the total predicted specific energy value. The method comprehensively considers various influence factors, and outputs a proportion and a change of each component in the specific energy of the cutter head along with the construction process, thereby providing a foundation for optimal allocation of the specific energy of the cutter head of the tunnel boring machine.

A system and method for detecting, based on a simulation of a build of an object using additive manufacturing, if the build of the object would be flawed or would fail during actual additive manufacturing of the object is provided.

Disclosed is an apparatus for determining goodness of fit related to microphone placement capable of communicating with other electronic devices and an external server in a 5G communication network, in which an artificial intelligence (AI) algorithm and/or a machine learning algorithm are executed. The apparatus includes an inputter, a communicator, a storage, and a processor. As the apparatus is provided, sound recognition effects can be improved.

A computer-implemented method for selecting an edge among edges of a 3D object in a 3D immersive environment of a CAD system. Each edge is oriented in the 3D immersive environment. The method comprises displaying the 3D object in the 3D immersive environment, detecting a hand gesture including all fingers folded except thumb, determining an oriented line formed with the folded fingers of the hand in the 3D immersive environment, and identifying the edge of the 3D object having the closest orientation with the oriented line.