Simulation Design Research Articles

DESIGN AND IMPLEMENTATION OF REAL-TIME NON-LINEAR DYNAMIC SIMULATION OF FIGHTER AIRCRAFT ON MULTICORE PROCESSOR

Simulation is a system to imitate the operation of various kinds of real-world facilities or processes for training, behavior study or entertainment purposes. Some implementation of fighter aircraft simulation is done sequentially using FORTRAN and MATLAB / Simulink. On the other hand, a multicore (parallel) computer system has been in the personal computer environment, so the multicore computing paradigm should be considered. Intel Threading Building Blocks (TBB) library need to be utilized in multicore programming. This paper discusses the design and implementation of real-time nonlinear dynamic simulation of fighter aircraft on multicore processor. The aircraft model used in this study is F16 data. Implementation of the simulation code is written in C++ with Intel TBB, OpenGL, Open Scene Graph, and Open Dynamic Engine library. The testing results of non-linear dynamics simulation of fighter aircraft show that the speedup on an Intel Core 2 Duo processor is 1.1776 x for elevator doublet input (short period), while speedup on an Intel i7 is 1.5405 x for rudder doublet input (dutch roll). Key Words: multicore computing, real-time simulation, nonlinear dynamic, fighter aircraft model

The flow field simulation and suction structure optimal design of the dual-airway pneumatic fallen jujube fruit pickup device​

The flow field simulation and suction structure optimal design of the dual-airway pneumatic fallen jujube fruit pickup device​

Inverse design of reflective metasurface antennas using deep learning from small‐scale statistically random pico‐cells

AbstractA small‐scale data‐selection method is proposed for deep‐learning‐based inverse design of reflective metasurface antennas (MAs). The overall design process involves discretization, coding, data selection, simulation, feature representation, training, prediction, and metasurface design. Unlike conventional method that selects the training data empirically after simulation from a large quantity of unit cells, the proposed statistically random data filtering (SRDF) method selects the training data set randomly before simulation by leveraging the geometric‐coding statistics of the unit cells. The advantages of the proposed data‐selection method include lower simulation cost (due to fewer simulations needed), improved generality, and higher design accuracy simultaneously. The design process starts from the discretization of a unit cell into a grid array of binaurally‐coded pico‐cells. Afterwards, the proposed SRDF method selects 0.01% of all the possible unit cells for simulation. With the simulated results, a deep‐convolutional‐variational‐autoencoder network is trained, leading to an accurate and bidirectional prediction of both the geometry and reflection phase of a unit cell in seconds. The proposed data‐selection method is validated by designing two reflective MAs with the predicted unit cells, each pointing a pencil beam off the boresight by 30° and 60°, respectively. Experiments are in line with full‐wave simulations.

Simulasi 3 Skenario Perbaikan Kemacetan Jagir Wonokromo Dampak dan Implementasi

Traffic congestion in Indonesian cities is a major problem, due to uneven mobility. The Jagir Wonokromo intersection, one of the busiest intersections in Surabaya, experiences traffic congestion during rush hour. This congestion can have a variety of negative impacts, such as air pollution and queuesat each intersection. This study analyzes the traffic congestion problems at the Jagir Wonokromo intersection and proposes the appropriate improvement scenario. A simulation design was developed to test three traffic congestion improvement scenarios at the Jagir Wonokromo intersection in Surabaya. The study sample was 40 vehicles that passed through during rush hour. The simulation results showed that scenario 3 is the most appropriate improvement scenario. This scenario successfully reduced the time in the system by 20.2% compared to the initial condition. The impact of scenario 3 is that traffic congestion at the intersection is reduced, but the travel time of vehicles from the DTC direction to Jalan Jagir Wonokromo also increases. Scenario 3 is considered to be in accordance with the conditions of the intersection and can be easily implemented. The study of traffic congestion at the Jagir Wonokromo intersection offers opportunities for the government and the public to address traffic congestion with effective simulation of improvement scenarios.

A Review of Contact Models’ Properties for Discrete Element Simulation in Agricultural Engineering

In agricultural engineering, the discrete element simulation of the operational structure, object of movement, and force has become a standard method of modern agricultural equipment design. The selection and development of an appropriate contact model are critical factors affecting the accuracy of the process of the simulation calculation of the movement and force. Understanding how to choose or establish suitable contact models according to different research fields, objects, and purposes has become the focus of present research. This paper gives an overview of contact models for discrete element simulation, summarizes and analyzes the simulation calculation basis of different contact models, and focuses on the application status and scenarios of different models at this stage. It analyzes and summarizes the selection basis and application fields of contact models. The next direction in the development of discrete element simulation contact models should be the hybrid application of multicontact models and the precise development of specialized contact models. It is necessary to establish a standardized parameter-calibration process for different contact models to guarantee the accuracy of the models, to improve the application of computer arithmetic, and to establish an efficient and accurate simulation contact model selection and application in the field of agricultural engineering. Efficient and accurate simulation contact model selection, design theory, and calculation processes will improve the efficiency of modern agricultural machinery design.

Design of modelling and online simulation for energy systems in papermaking mill

This paper presents a general framework of modelling and online simulation for papermaking mill’s energy systems. The energy flow models of thermal power plant, DIP and paper machine for a papermaking mill was designed and implemented an online simulation. The traditional offline, closed and scattered modelling and simulation methods were changed into online, open and integrated forms. Through the analysis of energy systems of papermaking mills, the framework has implemented the followings. The unit (equipment) models were established, it can analyse the energy of energy flow material. The corresponding material flow models library was developed. The craftwork models were designed and the energy flow models library was developed of thermal power plant, DIP and paper machine. The mathematical models of unit (equipment), energy flow, exergy flow, thermal power plant, DIP and paper machine were built. The material properties database was developed. General simulation software architecture and online simulation software architecture were designed. The framework implemented online simulation, analysis, diagnosis and optimization for energy systems of whole papermaking mill. The practical application results are fine when the framework was applied in Guangzhou Paper Group Co., Ltd., and Gold East Paper (Jiangsu) Co., Ltd. The practical application results indicate that the emulation, simulation, analysis, diagnosis and optimization of material flow and energy flow for papermaking mill whole production process can be implemented by online simulation, and the purposes of maximizing the utility efficiency of material and energy resource, reducing resource, reusing and recycling can be achieved.

Retracted: Simulation Design of a Live Working Manipulator for Patrol Inspection in Power Grid

Retracted: Simulation Design of a Live Working Manipulator for Patrol Inspection in Power Grid

Simulation and structural design of 2–2 PIMNT/epoxy piezoelectric composites

Piezoelectric materials are commonly used in transducers to convert electromechanical signals due to their energy conversion characteristics. We designed a PIMNT/epoxy 2–2 composite to take full advantage of the excellent beam-mode piezoelectric and acoustic features of PIMNT single crystals. Following the approach used for piezoelectric ceramic composites, we selected PIMNT piezoelectric single crystal and EPO-TEK301-2 epoxy resin for the composite, and combined finite element analysis with experimental preparation. We prepared, tested and analyzed 2–2 piezoelectric single crystal composites with varying volume fractions, which showed high electromechanical coupling properties ([Formula: see text]%) and low acoustic impedance ([Formula: see text][Formula: see text]MRayl). These encouraging findings suggest the possibility of devising high-performance ultrasonic transducers utilizing the PIMNT/epoxy 2–2 composite.

Construction and Validation of a Simulation Scenario for Teaching Family-Focused Care in Pediatric Oncology.

Clinical simulation can be a promising teaching strategy to help nurses develop behaviors that improve family care actions, promoting safe and high-quality care. The objective of this study was to build, validate, and test a simulation scenario in pediatric oncology family-focused care (FFC) following an initial diagnosis of cancer. It is a six-step methodological study based on the philosophy of Family-Centered Care (FCC), with a user-centered design. The evaluators established a Content Validity Index (CVI) > 0.8 for validation. Pilot testing included the Simulation Design Scale. The data were analyzed by descriptive statistics. A total of 35 experts participated in this study. All 19 items in the scenario were validated and considered relevant, in a single round, with the item-level CVI ranging between 0.8 and 1 and a scale-level CVI of 0.92. The high-fidelity developed and validated clinical simulation scenario is a consistent tool for the education of advanced practice nurses.

Educating for capability and preparing for practice: Integrating theory and skills.

Capability is the ability to perform clinical skills in ever-changing real world contexts, adapting to challenges and integrating technical and non-technical skills and competencies, for example, cannulating an uncooperative patient at night. Going beyond teaching competency and ensuring capability is imperative, as recommended by the national outcomes for medical graduates. A course on intravenous cannulation was developed with e-learning modules and high-fidelity complex simulation scenarios, aiming to promote capability in practice. The course delivered an intravenous cannulation e-learning package between two practical simulations to 10 final-year medical students. The hybrid simulation design consisted of an actor with a bespoke cannulation part-task trainer strapped to their arm. Each simulation delivered a challenging scenario, requiring the integration of procedural and behavioural skills to succeed. Simulations were video recorded, and participants reviewed their performances before completing semi-structured interviews. Transcribed interviews were thematically analysed. Interview analysis demonstrated two overarching themes: 'Impact on Capability' and 'Preparedness for Practice'. There was consistent recognition of improved capability from the interviews. Simulation exercises were described as the most valuable tool for developing capability. The e-learning helped with structure, facilitating students' adaptation to scenarios. Participants felt that training in medical school was largely competency-based and did not tackle complex interactions. Following e-learning and simulations, students felt more prepared for clinical practice. The course structure has value for medical professionals in developing capability and preparing for clinical practice, helping to reach standards expected of graduates. Plans to assess capability across multiple undergraduate programmes through Entrustable Professional Activities are in progress.

Prediction and Management of Building Energy Consumption Based on Building Environment Simulation Design Platform DeST and Meteorological Data Analysis Algorithm

Currently, the carbon emissions of building energy consumption account for a significant portion of all carbon emissions. How to reduce carbon emissions to achieve carbon neutrality is an important current research direction. Therefore this research builds a predictive algorithm model for analyzing energy consumption data of meteorological buildings using DeST platform for energy saving and emission reduction to achieve carbon neutrality. The new model uses Internet of Things and cloud platform technology to build a simulation building platform, and uses the support vector machine algorithm in the analysis algorithm to vectorize building energy consumption data, which can achieve normalization processing of building energy consumption and meteorological data. By processing building energy consumption data, prediction of building energy consumption at the next moment can be achieved. The experimental results show that the precision and accuracy of the new algorithm are higher than genetic algorithm 1 and 0.15 respectively, and 0.6 and 0.07 higher than clustering analysis algorithm respectively. Therefore, applying this algorithm model to building energy consumption prediction can significantly improve the accuracy and precision of the algorithm.

A new modified WINDMI jerk system with exponential and sinusoidal nonlinearities, its bifurcation analysis, multistability, circuit simulation and synchronization design

A new modified WINDMI jerk system with exponential and sinusoidal nonlinearities, its bifurcation analysis, multistability, circuit simulation and synchronization design

Effects of 3S business intelligence systems for nursing students: a repeated-measures randomized control trial

BackgroundThe growing need for healthcare services as a result of a consistently rising prevalence of chronic diseases and rapid population aging calls for a new set of activities and practices. Therefore, we developed a program—3S (Simple, Smart, and Speed) Business Intelligence Systems (3S-BIS), which is an ERP software system that helps nursing business to support nursing entrepreneurship —and analyzed its effects on nursing students.MethodsA repeated-measures randomized controlled trial was performed with two groups: experimental (n = 29) and control (n = 30) groups. The former group underwent the five-day 3S-BIS education program. Each session comprised four components: lectures 1 and 2, simulation case study, and debriefing. Post-tests were performed immediately post-intervention and four and eight weeks later. The effectiveness was measured using the following variables: simulation design assessment, evaluation of educational practices in simulation, education satisfaction, self-efficacy for learning, and entrepreneurship. The differences before and after intervention between the experimental and control groups were analyzed using the Friedman test. The Mann–Whitney U test was used for comparisons between groups at each time point, and the Wilcoxon signed-rank test was used for comparisons within groups at each time point.ResultsPost-intervention (8 weeks after intervention), the experimental group demonstrated higher simulation design assessment (z = -3.88, p = < .001), evaluation of educational practices in simulation (z = -3.34, p = .001), education satisfaction (z = -3.11, p = .002), self-efficacy for learning (z = -3.04, p = .002), and entrepreneurship (z = -2.15, p = .031) compared to controls. Furthermore, simulation design assessment score in the experimental group significantly differed between T1 (immediately after intervention) and T0 (baseline), and between T3 (8 weeks after intervention) and T0. Evaluation of educational practices in the simulation, education satisfaction, and self-efficacy also significantly differed between T1 and T0, and between T3 and T0. Entrepreneurship significantly differed between T3 and T2 (4 weeks after intervention), and between T3 and T0.ConclusionsThe 3S-BIS program contributes to enhancing nursing start-up competency. Subsequent studies should evaluate the effects of the program on nurses who work in home healthcare services.

Enhancing model predictions through the fusion of stein estimator and principal component regression

This research aims to enhance model predictions by introducing a novel approach that combines the Stein estimator technique with principal component regression (PCR) within the linear regression context. The study recognizes the challenges posed by multicollinearity in predictive modelling and addresses them by leveraging the strengths of the Stein estimator and PCR. We compared the novel estimator with other commonly used regression techniques to showcase its superiority theoretically. we investigate the impact of different parameter settings and sample sizes on the performance of the enhanced model predictions via simulation design. We analyzed two real-life data to validate the theoretical and simulation results. The mean squared error was employed to measure the performance gain achieved by the fusion of these techniques. The results show the benefits of combining the Stein estimator and PCR. It also provides valuable insights into advanced techniques for enhancing model predictions.

Nursing students satisfaction and self-confidence with standardized patient palliative care simulation focusing on difficult conversations.

Lack of experience communicating with patients and families at the end of life are key concerns for nursing students. Palliative care simulation using standardized patients (SPs) focusing on difficult conversations may lead to increased self-confidence in providing palliative and end-of-life care in clinical practice. There is currently a paucity of research on SP palliative care simulations in undergraduate nursing education. The objective of this research was to assess 3rd year undergraduate nursing students' levels of satisfaction and self-confidence with palliative and end-of-life care simulations focusing on difficult conversations, as measured by the Student Satisfaction and Self-Confidence in Learning Scale (SSSCLS) and the Simulation Design Scale (SDS). A descriptive post-intervention study. Four palliative care simulation days, consisting of 2 clinical scenarios, were conducted over 4 weeks. The first simulation was an outpatient palliative care clinic scenario, and the second was an inpatient hospital scenario. Nursing students enrolled in a 3rd year nursing palliative care elective (n = 51) at an Australian university were invited to participate. Students who attended simulation days were eligible to participate (n = 31). Immediately post-simulation, students were invited to complete the SSSCLS and the SDS. Fifty-seven surveys were completed (simulation 1, n = 28; simulation 2, n = 29). The data were analyzed using descriptive statistics. Results showed that students had high levels of self-confidence in developing palliative care and communication skills after both simulation experiences and high levels of satisfaction with the SP simulations. The lack of published literature on palliative care and end-of-life SP simulation highlights the need to collect further evidence to support this as an innovative approach to teaching palliative care. SP palliative care simulation focusing on difficult conversations assists in developing students' communication skills and improves satisfaction and self-confidence with palliative and end-of-life care.

Simulated cardiopulmonary bypass: a high fidelity model for developing and accessing clinical perfusion skills

BackgroundTraditionally, novice perfusionists learn and practice clinical skills, during live surgical procedures. The profession’s accrediting body is directing schools to implement simulated cardiopulmonary bypass (CPB) into the curriculum. Unfortunately, no CPB simulation models have been validated. Here we describe the design and application of a CPB simulation model.MethodsA CPB patient simulator was integrated into a representative operative theater and interfaced with a simple manikin, a heart-lung machine (HLM), clinical perfusion circuitry, and equipment. Participants completed a simulation scenario designed to represent a typical CPB procedure before completing an exit survey to assess the fidelity and validity of the experience. Questions were scored using a 5-point Likert scale.ResultsParticipants (n = 81) contributed 953 opinions on 40 questions. The participants reported that the model of simulated CPB (1) realistically presented both the physiologic and technical parameters seen during CPB (n = 347, mean 4.37, SD 0.86), (2) accurately represented the psychological constructs and cognitive mechanisms of the clinical CPB (n = 139, mean 4.24, SD 1.08), (3) requires real clinical skills and reproduces realistic surgical case progression (n = 167, mean 4.38, SD 0.86), and (4) would be effective for teaching, practicing, and assessing the fundamental skills of CPB (n = 300, mean 4.54, SD 0.9). Participants agreed that their performance in the simulation scenario accurately predicted their performance in a real clinical setting (n = 43, mean 4.07, SD 1.03)ConclusionThis novel simulation model of CPB reproduces the salient aspects of clinical CPB and may be useful for teaching, practicing, and assessing fundamental skills.

Simulation Design &amp; Performance Evaluation of Grid Connected 100 kW Solar Power Plant

Simulation Design &amp; Performance Evaluation of Grid Connected 100 kW Solar Power Plant

What Does the Process Look Like?: A Conceptual Framework Outlining a Virtual Simulation and Simulator Design Process for Instructional Designers

What Does the Process Look Like?: A Conceptual Framework Outlining a Virtual Simulation and Simulator Design Process for Instructional Designers

On the effectiveness of Reynolds-averaged and subgrid scale models in predicting flows inside car cabins

The aim of the present study is to analyze the performances of unsteady Reynolds-averaged Navier–Stokes (URANS) and large eddy simulation (LES) approaches in predicting the airflow patterns inside car cabins and to give insight in the design of computational fluid dynamics simulations of a real car cabin. For this purpose, one eddy viscosity-based turbulence model (shear stress transport k–ω) and two subgrid scale models (wall-adapting local eddy-viscosity and dynamic kinetic energy) were tested, and numerical results were compared with particle image velocimetry measurements carried out on a commercial car. The URANS model exhibited great accuracy in predicting the mean flow behavior and was appreciably outperformed by the LES models only far from the inlet sections. For this reason, it was deemed suitable for conducting further analyses, aimed at characterizing the airflow patterns in winter and summer conditions and performing a thermal comfort analysis. The thermal regime was found to have a very little effect on the air flow patterns, once the quasi-steady state regime is achieved; in fact, both in winter and in summer, the temperature field is fairly uniform within the car cabin, making the contribution of buoyancy negligible and velocity fields to be very similar in the two seasons. Findings also reveal that thermal comfort sensation can be different for passengers sharing the same car but sitting on different seats; this aspect should be considered when designing and operating the ventilation system, since the minimum comfort requirements should be met for all the occupants.

Playful by Design: A Third Space Community of Practice for Game Studies &amp; Design

This paper traces the history and development of Playful by Design, a cross-campus initiative at the University of Illinois Urbana-Champaign from which the interdisciplinary Game Studies &amp; Design program emerged. Interdisciplinary collaborations bridge differences between academic cultures and can spur innovative research and new programs and initiatives. Games, understood both as objects of study and as a methodology for conducting research on topics other than games, are moving into the mainstream within multiple academic disciplines; that doesn’t mean that interdisciplinary game studies must disappear as an intellectual endeavor. Playful by Design has become a local and global community of practice in which shared and overlapping interests in game-relevant research of all kinds, but also design, pedagogy, and technology, provide a durable interdisciplinary third space. As a network, it can welcome multidisciplinary activities pursued by teachers, scholars, artists, and designers within their own disciplines and in their own ways. Through creative collaborations, the sharing of resources, and the growth of team-based studio work and other experiential learning, this approach facilitates the emergence of transdisciplinary and glocal aspirations. These include shared values of accessibility and inclusion, reflected in how we teach and conduct research, and in the design and creation of games, simulations, and other interactive and immersive experiences that address the critical shared challenges of our times.