In a previous post, I introduced a model simulating the exponential spread of a phenomenon like COVID-19. With more and more talks in the news about deconfinement plans, I thought it would be interesting to run multiple simulations with different deconfinement scenarios and observe the potential outcomes.... read more >>

San Diego County-based Man K-9 trained police dogs in Huntington Beach by employing a helicopter and using gun fire to simulate realistic situations the dogs could face.

Jeffrey P. Burns, MD, MPH, discusses an article from the March 2009 issue of Pediatric Critical Care Medicine, "Simulation at the Point-of-Care: Reduced cost, in-situ training via a mobile cart." Burns is chief of the division of critical care medicine at Children's Hospital in Boston as well as an associate professor at Harvard Medical School. Pediatr Crit Care Med. 2009;10(2):176 Released: 5/21/09

Margaret Parker, MD, MCCM, speaks with Mark C. Dugan, MD, about the article: Does Simulation Improve Recognition and Management of Pediatric Septic Shock, and If One Simulation Is Good, Is More Simulation Better?

Tags: coronavirus, Marcel Salathé, Nicky Case, simulation

In this paper, we are concerned with the numerical solution of one type integro-differential equation by a probability method based on the fundamental martingale of mixed Gaussian processes. As an application, we will try to simulate the estimation of ruin probability with an unknown parameter driven not by the classical L'evy process but by the mixed fractional Brownian motion.

Noisy Intermediate-Scale Quantum (NISQ) computers are entering an era in which they can perform computational tasks beyond the capabilities of the most powerful classical computers, thereby achieving "Quantum Supremacy", a major milestone in quantum computing. NISQ Supremacy requires comparison with a state-of-the-art classical simulator. We report HPC simulations of hard random quantum circuits (RQC), which have been recently used as a benchmark for the first experimental demonstration of Quantum Supremacy, sustaining an average performance of 281 Pflop/s (true single precision) on Summit, currently the fastest supercomputer in the World. These simulations were carried out using qFlex, a tensor-network-based classical high-performance simulator of RQCs. Our results show an advantage of many orders of magnitude in energy consumption of NISQ devices over classical supercomputers. In addition, we propose a standard benchmark for NISQ computers based on qFlex.

Motivated by the current demand of clinical governance, surgical simulation is now a well-established modality for basic skills training and assessment. The practical deployment of the technique is a multi-disciplinary venture encompassing areas in engineering, medicine and psychology. This paper provides an overview of the key topics involved in surgical simulation and associated technical challenges. The paper discusses the clinical motivation for surgical simulation, the use of virtual environments for surgical training, model acquisition and simplification, deformable models, collision detection, tissue property measurement, haptic rendering and image synthesis. Additional topics include surgical skill training and assessment metrics as well as challenges facing the incorporation of surgical simulation into medical education curricula.

A method of asymmetric asynchronous decoupling of capacitors in an integrated circuit design is provided for faster simulation by circuit simulators, e.g. FastSPICE circuit simulators. This method includes removing a coupling capacitor from a list, which includes coupling capacitors that capacitively couple two nets in the design. The two nets have capacitances C1 and C2, and at least one of capacitances C1 and C2 exceeds a threshold. The coupling capacitor has capacitance Cc. When coupling capacitance Cc is low and only one of capacitances C1 and C2 has a low capacitance, then a forward capacitance can be used at whichever of the two nets has the low capacitance and a lump capacitance can be used at the other net for simulation. When coupling capacitance Cc is low and both of capacitances C1 and C2 have high capacitances, then lump capacitances can be used at the two nets for the simulation.

Aspects of the invention relate to techniques of defect injection for transistor-level fault simulation. A circuit element in a circuit netlist of a circuit is first selected for defect injection. Next, a defect is determined based on whether the selected circuit element is a design-intent circuit element or a parasitic circuit element. After the defect is determined, the defect is injected into the circuit netlist and then the circuit is simulated.

A fluid flow is simulated by causing a computer to perform operations on data stored in the memory to compute at least one eddy of a fluid flow at a first scale and perform operations to compute at least one eddy of the fluid flow at both the first scale and a second scale. The second scale is a finer scale than the first scale, and the computation of the at least one eddy of the fluid flow at the second scale is constrained by results of the computation of the at least one eddy of the fluid flow at the first scale.

Method and system are disclosed for statistical circuit simulation. In one embodiment, a computer implemented method for statistical circuit simulation includes providing descriptions of a circuit for simulation, wherein the descriptions include variations of statistical parameters of the circuit, partitioning the circuit into groups of netlists according to variations of statistical parameters of the circuit, simulating the groups of netlists using a plurality of processors in parallel to generate a plurality of output data files, and storing the plurality of output data files in a memory. The method of partitioning the circuit into groups of netlists includes forming the groups of netlists to be simulated in a single instruction multiple data environment, and forming the groups of netlists according to proximity of variations of statistical parameters of the circuit.

A computer-implemented method for simulating flow and acoustic interaction of a fluid with a porous medium includes simulating activity of a fluid in a first volume adjoining a second occupied by a porous medium, the activity of the fluid in the first volume being simulated so as to model movement of elements within the first volume and using a first model having a first set of parameters, simulating activity of the fluid in the second volume occupied by the porous medium, the activity in the second volume being simulated so as to model movement of elements within the second volume and using a second model having a second set of parameters and differing from the first model in a way that accounts for flow and acoustic properties of the porous medium, and simulating movement of elements between the first volume and the second volume at an interface between the first volume and the second volume.

Dynamics simulations are described. Dynamics simulations can include identifying a number of ink related components and a number of printing interactions. Dynamics simulations can also include generating a granular representation of the number of ink related components and calculating a number of Hamaker constants based on the granular representation of the number of ink related components. Dynamics simulations can include performing a dynamics simulation based on the number of Hamaker constants, the granular representation of the number of ink related components, and the number of printing interactions.

Methods, systems, and apparatus, including computer program products, for determining energy indicator values for a plurality of thermoplastic materials. An energy indicator value represents expected energy requirements for performing an injection of the material in a mold cavity. An injection of each of a plurality of thermoplastic materials in a first modeled mold cavity is simulated. A respective value of a first expected energy parameter is determined for each of the plurality of thermoplastic materials based on the simulated injections. A respective energy indicator is determined, for each of the plurality of thermoplastic materials, based at least on the corresponding value of the first expected energy parameter. The respective energy indicator value of one or more of the plurality of thermoplastic materials is presented.

In a method for simulating temperature and electrical characteristics within an circuit, a temperature of at least one volume within the circuit as a function of a resistance within the at least one volume is repeatedly calculated and the resistance as a function of the temperature is repeatedly calculated until the temperature is within a predetermined tolerance of a previous temperature result and until the resistance is within a predetermined tolerance of a previous resistance result. Once the temperature is within a predetermined tolerance of the previous temperature result and the resistance is within a predetermined tolerance of the previous resistance, then an output indicative of the temperature is generated.

The cost necessary for introducing and maintaining a development environment that includes multiple simulators is suppressed, and a sharing of designing information is promoted, to make parameter adjustment of simulators easy. Provided is a service that unifies development environment on a computer provided with: a working computer system that can guarantee that there is no leaking of designing files; a user behavior monitoring system that collects utilization history of simulators or software, for each of the users, and selects development process of each of the users from the collected information; and a dynamic computational-resource distribution system that can conduct an automatic optimization of a complex simulation configuration, from information collected by the aforementioned user behavior monitoring system.

According to one aspect, an apparatus for computing a solution to a power flow problem for an electrical power system comprising a plurality of buses. The apparatus includes (a) at least one processor comprising a plurality of cores; and (b) memory coupled to the at least one processor for storing an admittance matrix for the power system, real power and reactive power for each bus, and an initial complex voltage for each bus; (c) wherein the at least one processor is configured to: (i) perform a Jacobi power flow calculation for each bus to determine the complex voltage for each bus, the Jacobi power flow calculation using the admittance matrix, the real power and reactive power for each bus, and the initial complex voltage for each bus as inputs, wherein at least two Jacobi power flow calculations are performed concurrently on the plurality of cores; (ii) calculate a power mismatch at each bus based on the complex voltages; and (iii) determine whether the Jacobi power flow calculations have converged based on the power mismatch and repeat (i) to (iii) if the Jacobi power flow calculations have not converged.

Configurations for simulation of motions or movement in a health training mannequin for teaching purposes are disclosed. A cardiac defibrillation response simulation apparatus is configured to be housed separately from but interfaced with a health training mannequin to induce motion symptomatic response to electrical shock in the mannequin. In one embodiment a system comprises a motion inducer comprising a housing, an interface structure, and an actuator, wherein the interface structure is coupled to the actuator, movable relative to the housing, and configured to interface with a portion of a health training mannequin to induce motion in at least one portion of the health training mannequin. In another embodiment a method comprises interfacing a portion of a health training mannequin with an interface structure, the interface structure being coupled to an actuator and movable relative to a housing coupled to the actuator, the housing not being housed within a portion of the health training mannequin. Various hardware configurations are presented.

An apparatus includes a simulated medicament delivery device and an electronic circuit system coupled to the simulated medicament delivery device. The electronic circuit system is configured to output an electronic output associated with a use of the simulated medicament delivery device.

A target device is usable with a simulation system which includes a weapon simulator having a trigger, a chamber for firing a blank cartridge in response to the trigger, and a transmitter arranged to emit a light signal defining one or more activation codes of prescribed duration in response to the trigger. The target device includes a sensor array of photodiodes and a processor receiving output signals from the photodiodes. The processor determines that the sensor array has been hit by the weapon simulator in response to a first portion of one activation code being received by one of the photodiodes and at least one second portion of the same activation code being received by the same or a different one of the photodiodes when the first portion and the at least one second portion correspond to an entirety of one activation code within the respective prescribed duration.

A simulation apparatus includes a storing unit that stores therein information about a shape of a blank piece to be cut out from raw wood, information about a final shape of a wooden piece obtained by compressing the blank piece, and image data of a surface of the blank piece. The apparatus also includes detecting unit that detects a knot appearing on the surface of the blank piece by image recognition using the image data; a shape estimating unit that estimates a shape of the detected knot using shape information on the blank piece; and a determining unit that determines, in accordance with the shape of the estimated knot, a cutting location and a cutting shape of the blank piece in such a manner that the cutting location and shape include a part and a thickness of the knot is substantially the same as that of the compressed blank piece.

A method for creating laboratory-scale reactive distillation apparatus from provided modular components is described. At least two types of modular distillation column stages are provided. A first type of modular stage comprises two physical interfaces for connection with a respective physical interface of another modular stage. A second type modular stage comprises one such physical interface. At least one type of tray is provided for insertion into the first type of modular stage. A clamping arrangement is provided for joining together two modular stages at their respective physical interfaces for connection to form a joint. The invention provides for at least three modular stages can be joined. At least one sensor or sensor array can be inserted into each modular stage. At least one controllable element can be inserted into each modular stage. The invention provides for study of traditional, advanced, and photochemical types of reactive distillation.

Exercise machine with load rolling simulation substitutes training in the open air in which a load is rolled or pushed. The exercise machine comprises a continuous moving track (2) of adjustable incline. Above the housing (1) and in front of the continuous moving track (2) is mounted a wheel (4) with paddles (5). The paddles (5) on the outer circumference of the wheel (4) are performed in the shape of teeth, ribs, panels or bars. The wheel (4) is connected by a transmission (20) with the track (2). The track (2) is connected with the brake system (32) for change of resistance to motion of the track (2), and thereby also to turning of the wheel (4). The control panel (6) with display contains commands for adjusting and monitoring the inclination of the track (2) and the resistance to turning of the wheel (4) and for monitoring the velocity and travelled distance of the moving track (2), as well as the duration of the training on the continuous track (2). The exercise machine is used in at least three ways of exercising, it has exceptional ergonomic characteristics, and enables safe training.

The elderly Viv notices our presence and invites us to sit in her kitchen, right there in front of her, where she can see us. Thus began the interactive video experience “The Visit“, born from the collaboration of the artist →

Global business and tourism depend heavily on the efficient operation of airports and movement of passengers, baggage, and cargo across many areas. With increasing demand and connectivity requirements for airports comes the need for more sophisticated simulation and modeling tools to validate design assumptions. Furthermore, airport design and planning decisions have significant impacts on policy and major capital improvement decisions, which can be supported by simulation and modeling tools at many leve...

Global business and tourism depend heavily on the efficient operation of airports and movement of passengers, baggage, and cargo across many areas. With increasing demand and connectivity requirements for airports comes the need for more sophisticated simulation and modeling tools to validate design assumptions. Furthermore, airport design and planning decisions have significant impacts on policy and major capital improvement decisions, which can be supported by simulation and modeling tools at many leve...

For $20, fans of German soccer club Borussia can have a cut-out of themselves placed in the stands at BORUSSIA-PARK. According to the club, over 12,000 cut-outs have been ordered and 4,500 have already been put in place. Here is the tweet and photo. And some sports bettors are betting on simulated sporting events.  (Again, […]

The post Coronavirus sports markets in everything, multiple simulations edition appeared first on Marginal REVOLUTION.

The Kings have found a way to stay connected with fans amid the coronavirus shutdown by replicating its schedule through video games.

Roles & Responsibilities Using Maxwell magnetic models, perform magnetic simulation of the wireless charging system Organize simulation results and create analysis of the simulation results Typical tasks - Perform a sweep of ferrite losses over a range of operating conditions Key Skills:

Roles & Responsibilities Using Maxwell magnetic models, perform magnetic simulation of the wireless charging system Organize simulation results and create analysis of the simulation results Typical tasks - Perform a sweep of ferrite losses over a range of operating conditions Key Skills:

A lone developer from the company that provided aerodynamic analysis for the cars in the PlayStation game Gran Turismo has applied the tooling to demonstrate the spread of germs with and without wearing a mask

(DOE/Oak Ridge National Laboratory) Using ORNL's now-decommissioned Titan supercomputer, a team of researchers estimated the combined consequences of many different extreme climate events at the county level, a unique approach that provided unprecedented regional and national climate projections that identified the areas most likely to face climate-related challenges.

(The Institute of Medical Science, The University of Tokyo) Understanding the principles of cancer evolution is important in designing a therapeutic strategy. A research group at The Institute of Medical Science, The University of Tokyo (IMSUT) announced a new simulation model that describes various modes of cancer evolution in a unified manner.

(Universitat Pompeu Fabra - Barcelona) Expansions by groups of humans were common during prehistoric times, after the adoption of agriculture. Among other factors, this is due to population growth of farmers which was greater than of that hunter-gatherers. We can find one example of this during the Neolithic period, when farming was introduced to Europe by migrations from the Middle East.

(George Mason University) Nathan Sleeter, Research Assistant Professor, Roy Rosenzweig Center for History and New Media (RRCHNM), is directing a project in which RRCHNM will create three classroom simulations based on events from the history of diplomacy for secondary education instructors.

Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data. By including high resolution covariate information and modelling the data generating process on a fine scale, it is hoped that these models can accurately learn the relationships between covariates and response at a fine spatial scale. However, validating these high resolution predictions can be a challenge, as often there is no data observed at this spatial scale. In this study, disaggregation regression was performed on simulated data in various settings and the resulting fine-scale predictions are compared to the simulated ground truth. Performance was investigated with varying numbers of data points, sizes of aggregated areas and levels of model misspecification. The effectiveness of cross validation on the aggregate level as a measure of fine-scale predictive performance was also investigated. Predictive performance improved as the number of observations increased and as the size of the aggregated areas decreased. When the model was well-specified, fine-scale predictions were accurate even with small numbers of observations and large aggregated areas. Under model misspecification predictive performance was significantly worse for large aggregated areas but remained high when response data was aggregated over smaller regions. Cross-validation correlation on the aggregate level was a moderately good predictor of fine-scale predictive performance. While the simulations are unlikely to capture the nuances of real-life response data, this study gives insight into the effectiveness of disaggregation regression in different contexts.

Carolyn M. Rutter, Jonathan Ozik, Maria DeYoreo, Nicholson Collier.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2189--2212.

Abstract:
Microsimulation models (MSMs) are used to inform policy by predicting population-level outcomes under different scenarios. MSMs simulate individual-level event histories that mark the disease process (such as the development of cancer) and the effect of policy actions (such as screening) on these events. MSMs often have many unknown parameters; calibration is the process of searching the parameter space to select parameters that result in accurate MSM prediction of a wide range of targets. We develop Incremental Mixture Approximate Bayesian Computation (IMABC) for MSM calibration which results in a simulated sample from the posterior distribution of model parameters given calibration targets. IMABC begins with a rejection-based ABC step, drawing a sample of points from the prior distribution of model parameters and accepting points that result in simulated targets that are near observed targets. Next, the sample is iteratively updated by drawing additional points from a mixture of multivariate normal distributions and accepting points that result in accurate predictions. Posterior estimates are obtained by weighting the final set of accepted points to account for the adaptive sampling scheme. We demonstrate IMABC by calibrating CRC-SPIN 2.0, an updated version of a MSM for colorectal cancer (CRC) that has been used to inform national CRC screening guidelines.

SOLIDWORKS 2020 continues our mission of delivering powerful Simulation Capabilities with enhancements that provide increased power, more realistic simulations, and more efficient workflows. When running simulation on Weldment Structures, beam elements are typically used since they are fast to setup

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Have you ever been interested in SOLIDWORKS Simulation but didn’t know where to start? With such a wide variety of design analysis solutions, Simulation can be an intimidating product for someone newer to the SOLIDWORKS suite of products. Well we

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This case study seeks to find the answer to a common question: Which way should you affix hooks to your fence so they can properly handle the load of a hanging flower basket? Javelin’s Application Engineer; Colin Murphy CSWE, takes

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