AIMC Topic: Computer Simulation

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Flow Pattern Identification of Oil-Water Two-Phase Flow Based on SVM Using Ultrasonic Testing Method.

Sensors (Basel, Switzerland)
A flow pattern identification method combining ultrasonic transmission attenuation with an ultrasonic reflection echo is proposed for oil-water two-phase flow in horizontal pipelines. Based on the finite element method, two-dimensional geometric simu...

Modeling and Optimization for a New Compliant 2-dof Stage for Locating Biomaterial Samples by an Efficient Approach of a Kinetostatic Analysis-Based Method and Neural Network Algorithm.

Computational intelligence and neuroscience
The nanoindentation technique is employed to characterize the behaviors of biomaterials. Nevertheless, there is a lack of development of a miniaturized precise positioner for in situ nanoindentation. Besides, modeling behaviors of the positioner are ...

Design and simulation analysis of a bionic ostrich robot.

Biomechanics and modeling in mechanobiology
To look for the reason why the biped animal in nature can run with such high speed and to design a bionic biped prototype which can behave the high speed running and jumping ability, this paper takes the fastest bipedal animal in nature: ostrich as t...

Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator.

Sensors (Basel, Switzerland)
This article presents the development of a model of a spherical robot that rolls to move and has a single point of support with the surface. The model was developed in the CoppeliaSim simulator, which is a versatile tool for implementing this kind of...

Reducing Detrimental Communication Failure Impacts in Microgrids by Using Deep Learning Techniques.

Sensors (Basel, Switzerland)
A Microgrid (MG), like any other smart and interoperable power system, requires device-to-device (D2D) communication structures in order to function effectively. This communication system, however, is not immune to intentional or unintentional failur...

Policy Design for an Ankle-Foot Orthosis Using Simulated Physical Human-Robot Interaction via Deep Reinforcement Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper presents a novel approach for designing a robotic orthosis controller considering physical human-robot interaction (pHRI). Computer simulation for this human-robot system can be advantageous in terms of time and cost due to the laborious n...

Gamification of robotic simulation to train general surgery residents.

Surgical endoscopy
BACKGROUND: Gamification applies game design elements to non-game contexts in order to engage participation and increase learner motivation. Robotic surgery is gaining popularity in general surgery but requires specialized technical skills. We sought...

Demod-CNN: A Robust Deep Learning Approach for Intelligent Reflecting Surface-Assisted Multiuser MIMO Communication.

Sensors (Basel, Switzerland)
The intelligent reflecting surface (IRS) is a novel and innovative communication technology that aims at the control of the wireless environment. The IRS is considered as a promising technology for sixth-generation wireless communication. In the last...

Research on Clustering Algorithm Based on Improved SOM Neural Network.

Computational intelligence and neuroscience
Clustering algorithm is a statistical method to study sample classification. With the rapid development of science and technology, people have higher and higher requirements for data classification, so there are more and more researches on clustering...

Evaluation of Ideological and Political Education under Deep Learning Neural Network.

Computational intelligence and neuroscience
Under the background of the rapid development of the new generation of information technology, artificial neural networks (ANNs) have made some progress in the evaluation research of various courses in colleges and universities. However, there is lit...