2011 international joint conference on neural networks (ijcnn)

https://doi.org/10.1016/j.chb.2022.107289

What is XR? Towards a Framework for Augmented and Virtual Reality

During the years common understanding of the possibilities and perspectives of Virtual Reality (VR) usage has been changed. It is thought that VR is mainly used in entertainment purposes, but it is being used already for many years in different industries, and now with easier access to the hardware it became a helpful and accessible tool that could be used and developed in any field of human activities. In manufacturing, immersive technologies are mainly used nowadays for the visualisation of processes and products combining those visuals into \nthe factory Digital Twin (DT) which is possible to view from the inside look. This feature is already being used in several manufacturing simulation tools, which enable to view onto industrial line / robotic cells via Virtual Reality glasses. However, the potential of using simulations with VR in manufacturing is not fully uncovered. The main aim of this, industrial robotics targeted research is to enable besides simulation also universal control algorithms through Virtual Reality experience, produced by game engine Unity3D, which can be easily modified for a wide range of industrial equipment. The primary outcome of this work is the development of the synchro-nisation model of real and virtual industrial robots and experimental testing the developed model in Virtual Reality and shop floor labs\n\n

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Digital Twin based synchronised control and simulation of the industrial robotic cell using Virtual Reality

Adaptive Signal Processing: Next Generation Solutions

THE ORIGINAL Amazon Echo speaker/personal assistant has been one of the more successful consumer electronics products of the past year. Having shipped three million according to analyst Consumer Intelligence Research Partners, Amazon is looking to extend the range in form factor, portability and price. Two variations have just launched in the US. The Amazon Tap, the subject of this teardown, is a smaller, battery-powered Echo. The Amazon Echo Dot is a hockey-puck-sized and mainspowered version. The Tap costs $150 (£103 pre-VAT) and the Dot is $90. Echo continues to retail at $180. The company says that it will roll out the new products in the UK and the rest of the world during 2016.

The teardown - Amazon tap portable speaker and assistant [Reviews Consumer Technology]

This paper addresses an interactive virtual reality based application of a physical environment. The application presents notable aspects for education, data analysis and industry since the physical building serves as a research and development center. As the project based on physical environment, one of the main target for the work is also concentrated to give high presence feeling for end-users. The developed application is verified in real time. We also introduced our findings in real-time data communication, detection and analysis of human behavior in immersive environment, control systems integration to VR. Data analysis part of the research is linked to human behaviors based on the perception of computational intelligence methods. The activities in immersive environment are engaged to entertaining and joyful learning approaches. Some ideas for further development are also described.

Towards Assisting Interactive Reality

This paper addresses the identification, implementation and simulation of the Ground Source Heat Pump (GSHP) Model. It also presents a comparison of different models. The system includes borehole heat exchangers, a heat pump and heat distribution part In general, the aim of this paper is to identify a system to predict the behaviour of GSHP models. The model with the best performance is the Hammerstein-Wiener model. The selection criteria were the best fit, parameter estimation, validation of the model and structure of dynamic models. Overall, the main implementation is an identified model of GSHP short helical heat exchanger to analyze the ground temperature field and to help to better predict the amount of heat energy from the ground. The work is presented by Graphical User Interface (GUI). The proposed identification and analysis may be useful in developing GSHP systems.

Identification, implementation and simulation of Ground Source Heat Pump with ground temperature modeling

Identification and prediction of clogging behavior in heating, ventilation, and air conditioning (HVAC) filters is crucial to avoid issues such as system overheating, energy waste, lower indoor air quality, etc Researchers are focusing more on the particle loading characteristics of a filter medium in a laboratory environment under steady-state conditions, fixed particle concentrations, area of porosity, dust feed and volumetric flow rate However, recent research still shows uncertainties in modeling as well as the implementation problems of constructing the HVAC laboratory test bench and equipment In addition, subjects such as non-uniform particle deposition depreciation of the condition and various type of mechanical filters such as fibrous, fabric, granular, and membrane filter or electrostatic filters which typically used in HVAC systems perform under some assumptions and still need more research The studies become even more difficult acquiring a large number of time-varying and noisy signals Another approach among studies is data-driven knowing that Building Automation System (BAS) is not equipped with appropriate sensor measuring the clogging, it is needed to drive the clogging mathematical model from the pressure drop signal This paper bridges the gap between particle-size study and black box modeling of HVAC filter which has not received much attention from authors The proposed method assumes that the pressure drop is the result of two time-varying functions; f(t), which represents the dynamics of clogging and, g(t), which refers to dynamics of remained terms The exponential and polynomial of second order functions are proposed to express the clogging behavior The software package based on Particle Swarm Optimization Artificial Bee Colony (PSOABC) algorithm, is developed and implemented to estimate the coefficients of the clogging functions based on smallest RMSE, high coefficient of correlation and acceptable tracking Five Air Handling Unit (AHUs) are selected for practical verification of the model and the results show that the applied method can successfully predict clogging and pressure drop behaviour of HVAC filters

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Gray Box Time Variant Clogging behaviour and Pressure Drop Prediction of the Air Filter in the HVAC System

Towards Dynamic Modeling in Immersive Environments with Assessment of User Experiences

The adsorption and detection of propylene oxide (PO), which is a volatile organic compound produced on a large scale industrially and used in polymerization reactions, is an important issue. In this study, the adsorption of propylene oxide on the metal-doped graphene sheets were investigated by periodical Density Functional Theory calculations. The HSEH1PBE (HSE06) hybrid method was used for theoretical calculations. It has been determined that Pt-doped and Pd-doped graphene structures give adsorption energy values of − 78.6 and − 75.4 kJ/mol, respectively. The sensors have been evaluated in terms of work function (Φ) showing that each can be described as an Φ-type gas sensor. In addition, it has been revealed that periodical theoretical calculations utilized in this study give more accurate results than calculations made with the GGA-PBE method. As a result, it has been determined that Pt-doped and Pd-doped graphene sheets are effective for PO adsorption, Pt-doped graphene layer can be used as an electronic sensor for PO, whereas Pd-graphene layer cannot be used. 

Ahmet Kose

Papers

Towards Assisting Interactive Reality

Identification, implementation and simulation of Ground Source Heat Pump with ground temperature modeling

Gray Box Time Variant Clogging behaviour and Pressure Drop Prediction of the Air Filter in the HVAC System

Towards Dynamic Modeling in Immersive Environments with Assessment of User Experiences

Sensing properties of propylene oxide on Pt and Pd doped graphene sheets: A DFT Investigation