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This half-day workshop will demonstrate the use of a lottery-based simulation to teach students how to run an agile project by practicing the routine of daily meetings, coordination by mutual adjustment and tracking and reporting of progress. The objective of the simulation is twofold: to teach students the process' mechanics and provide them with insights about the implications on performance and...
Every link of power system may exist security risks, power industry funds and technology is highly concentrated, the production equipment is very expensive, its operating parameters almost reached the extreme, physical simulation of its production process of experimental teaching costs are extremely high, resource consumption is huge, and may cause malignant environmental pollution. Teaching, training...
Debriefing is the practice of after session review of training performance to enhance self-reflection through feedback. It has been considered as a vital and crucial part of simulation-based medical training. However an accurate, objective and in-depth evaluation of trainee performance has been a significant challenge. To address this we developed a knowledge-based framework in which the criteria...
Based on the method of Skeletonization, the concept of influence factor is introduced in this paper. A method for trimming the fat from a Back Propagation (BP) neural network is proposed by modifying weight and influence factor alternately, and node with the least influence factor was deleted. This method is applied to modeling superheated steam temperature system of plant station. Simulation results...
Composites are widely used in aviation, aerospace and other fields because of their high specific strength, high specific stiffness and easy molding. However, in the process of using the concentrated stress, heavy shocks may form different degrees of damage. Especially, the internal delamination will reduce the stability and safety of the structure. Based on the analysis of damage location and damage...
The paper presents the system architecture, development and prototype implementation of a new integrated system for simulation of automated industrial processes using advanced technologies, in accordance with CPS/Industry 4.0 principles. The need to develop such a system is underscored by the interest of the educational stakeholders: students, faculty members, high-level industry partners, for an...
This paper investigates the current uses of simulation in FAA Academy ATC training in an effort to identify potential improvement areas to the current training program in the areas of simulation and course content. Once identified, recommendations for changes to the current training program can be made. A thorough literature review of current training techniques used at the FAA Academy and training...
A new multi-feature fusion method is proposed for the radar target recognition based on D-S evidence iterative discount method. Firstly, the discount factor is defined based on the multi-feature confusion matrix and basic probability assignment (BPA) function. Then, when the conflict is high, the evidence is discounted using the discount factor, and basic probability assignment function, discount...
We present ongoing work on a tool that consists of two parts: (i) A raw micro-level abstract world simulator with an interface to (ii) a 3D game engine, translator of raw abstract simulator data to photorealistic graphics. Part (i) implements a dedicated cellular automata (CA) on reconfigurable hardware (FPGA) and part (ii) interfaces with a deep learning framework for training neural networks. The...
We propose a recursive singular value decomposition (SVD)-based fuzzy extreme learning machine (RSVD-F-ELM) for the online learning in classification or regression analysis. By adopting the same architecture and operation as fuzzy extreme learning machine (F-ELM), which is originally designed for the batch learning, and replacing the Moore-Penrose generalized inverse in F-ELM with a recursive SVD-based...
Echo state network (ESN) is a powerful tool for nonlinear system modeling. However, the random setting of structure (mainly the reservoir) may degrade its estimation accuracy. To create the optimal reservoir for a given task, a novel ESN design method based on differential evolution algorithm is proposed. Firstly, the weight matrix of reservoir is constructed via the singular value decomposition (SVD)...
Body weight support (BWS) system is increasingly used in conjunction with treadmills to assist the patients with neurological impairments. Owing to lower limbs of the patients unable to bear the whole weight during the rehabilitation training, some weight can be removed to help the patients recover the basic walking ability gradually. Therefore, considering the man-machine relationship and the effects...
Due to the simplicity of its implementation and the impressive performance, Extreme Learning Machine (ELM) has been widely used in applications of machine learning. However, there are two potential problems in ELM: 1) lack of an efficient method for minimizing error; 2) consideration of little inherent structural information about correlations among output components. To overcome those problems, this...
Hardware failures in cloud data centers may cause substantial losses to cloud providers and cloud users. Therefore, the ability to accurately predict when failures occur is of paramount importance. In this paper, we present FailureSim, a simulator based on CloudSim that supports failure prediction. FailureSim obtains performance related information from the cloud and classifies the status of the hardware...
Satellite simulators for Synthetic Aperture Radar (SAR) can be categorized into two main classes according to its functional use: System Engineering Simulator or Mission Simulator. A system engineering simulator provides a high fidelity infrastructure for SAR system designers to determine or adjust the parameters of the system to realize the requirements. A Mission Simulator behaves as the whole system...
A physical disability can highly harm the capability of a person to move. There are vehicles, like powered or manual wheelchair that can give to disabled people a part of their mobility back but this will not give them their entire mobility and autonomy. Virtual Fauteuil is a platform of simulation for wheelchair that has been developed in order to analyze issues linked to the use of a wheelchair...
We present direct performance measurements for four popular scientific simulations on the Knights Landing (KNL) platform. Performance numbers for Broadwell processors are provided for contrast. The applications (NAMD, LAMMPS, GROMACS and CP2K) were selected from among the ten most used in the QCT developer cloud as well as best representative of workloads used by many users and, given their diversity,...
This paper proposes a snowboard simulation system that mitigates the risks of snowboarding while allowing for realistic beginner training. The system uses a passive motion platform with tension bands that return the platform to equilibrium when the user is not applying force. This allows the user to make manual changes to board position as they would on a snowy hill. These manual changes in board...
Deep learning has rapidly transformed the state of the art algorithms used to address a variety of problems in computer vision and robotics. These breakthroughs have relied upon massive amounts of human annotated training data. This time consuming process has begun impeding the progress of these deep learning efforts. This paper describes a method to incorporate photo-realistic computer images from...
The paper discusses using the virtual reality for simulators to simulate the pilot's sensory illusion during flying in IMC and possibility of recognition of spatial disorientation during flight. The first part of the paper describes various approaches to simulators that can be used for pilot illusion simulation. The second part describes design of a sensory illusion simulator prototype using the virtual...
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