scholarly journals ViSIAr – A virtual sensor integration architecture

Robotica ◽  
1999 ◽  
Vol 17 (6) ◽  
pp. 635-647 ◽  
Author(s):  
Nigel Hardy ◽  
Aftab Ahmad Maroof
Keyword(s):  
Software Engineering ◽  
Sensor Integration ◽  
Virtual Sensor ◽  
Integration System ◽  
Virtual Sensors ◽  
Integration Architecture ◽  
Design Requirements ◽  
Support Programming ◽  
Important Design

Virtual sensors (software abstractions to support programming of sensor use) have been shown to have software-engineering benefits. A sensor integration system is required to support them. We examine the general requirements of such systems and consider the important design requirements. An idealised architecture, ViSIAr, is proposed to serve as a framework for designing and constructing them. Illustrative examples are provided.

A virtual sensor implementation for a flexible assembly machine

Robotica ◽  
1995 ◽  
Vol 13 (2) ◽  
pp. 195-199 ◽  
Author(s):  
J. J. Rowland ◽  
H. R. Nicholls
Keyword(s):  
Sensory Information ◽  
Sensor Integration ◽  
Virtual Sensor ◽  
Integration System ◽  
Fully Integrated ◽  
Flexible Assembly ◽  
Sensory Data ◽  
Design And Implementation ◽  
Virtual Sensing ◽  
Assembly Tasks

SummaryWe describe a sensor integration system which we have designed and implemented for a large fully-integrated flexible assembly machine. The machine was developed by a consortium to explore the design and implementation issues involved. The sensor integration system was designed for execution on a multiple transputer architecture, and co-ordinates all the sensory information in the machine. It uses the concept of virtual sensing to provide sensory data at an appropriate level of abstraction to the machine supervisor, which controls execution of the assembly tasks.

scholarly journals Natural Language Understanding for Multi-Level Distributed Intelligent Virtual Sensors

IoT ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 494-505
Author(s):  
Radu-Casian Mihailescu ◽  
Georgios Kyriakou ◽  
Angelos Papangelis
Keyword(s):  
Deep Learning ◽  
User Interface ◽  
Natural Language ◽  
Learning Approach ◽  
Language Understanding ◽  
Virtual Sensor ◽  
Virtual Sensors ◽  
Multi Level ◽  
High Level ◽  
User Friendly

In this paper we address the problem of automatic sensor composition for servicing human-interpretable high-level tasks. To this end, we introduce multi-level distributed intelligent virtual sensors (multi-level DIVS) as an overlay framework for a given mesh of physical and/or virtual sensors already deployed in the environment. The goal for multi-level DIVS is two-fold: (i) to provide a convenient way for the user to specify high-level sensing tasks; (ii) to construct the computational graph that provides the correct output given a specific sensing task. For (i) we resort to a conversational user interface, which is an intuitive and user-friendly manner in which the user can express the sensing problem, i.e., natural language queries, while for (ii) we propose a deep learning approach that establishes the correspondence between the natural language queries and their virtual sensor representation. Finally, we evaluate and demonstrate the feasibility of our approach in the context of a smart city setup.

THE DEVELOPMENT OF A COMPUTER-ASSISTED TOOL FOR THE ASSESSMENT OF NEUROPSYCHOLOGICAL DRAWING TASKS

2008 ◽  
Vol 07 (04) ◽  
pp. 751-767 ◽  
Author(s):  
STEPHANIE GLENAT ◽  
LAURENT HEUTTE ◽  
THIERRY PAQUET ◽  
RICHARD GUEST ◽  
MICHAEL FAIRHURST ◽  
...  
Keyword(s):  
Software Engineering ◽  
Computer Assisted ◽  
Computer Based ◽  
Design Requirements ◽  
Drawing Tasks ◽  
Analysis System ◽  
Clinician Support ◽  
Flow Of Information ◽  
Modular Framework ◽  
Actual Test

In a previous paper, we highlighted the design requirements of a computer-based system for the automated assessment of neuropsychological drawing tasks. In this paper, we shall examine the implementation of an analysis system specifically with reference to the software engineering principles utilized and the modular framework within with a flexible implementation can be realized. We shall highlight some of the implemented modules and, using two actual test batteries as examples, demonstrate the flow of information between each module. We shall also show the additional reporting and analysis features implemented for clinician support and describe how the framework can be utilized for more generic applications of handwriting/drawing analysis.

Research of Multi-Sensor Integration System for Train Speed and Position Measurement

2011 ◽  
Vol 105-107 ◽  
pp. 1920-1925 ◽  
Author(s):  
Yu Wei Zhou
Keyword(s):  
Sensor Fusion ◽  
Simulation Experiment ◽  
Doppler Radar ◽  
Sensor Integration ◽  
Position Measurement ◽  
Integration System ◽  
Train Control ◽  
Federated Kalman Filter ◽  
Train Speed ◽  
Single Sensor

The speed and position measurement is an important part of the train control system. Accurate measurement of train speed and position ensures safety of train running and improves transportation efficiency. Traditional methods to measure speed and position usually rely on single sensor, which has less accuracy and reliability. A method of measuring train speed and position based on multi-sensor fusion is proposed in this paper. Since trains are running on fixed rail tracks, the position of train can be determined by the traveled distance and speed monitoring is essentially to measure the magnitude of train velocity. According to this characteristic, this measurement system consists of axle odometer, Doppler radar, accelerometer and intermittent inquiry balise. The federated Kalman filter is used to implement multi-sensor fusion. Simulation experiment results prove that this method can improve the accuracy and reliability of train speed and position measurement.

Parallel Load-Bearing and Damping System Design and Test for Satellite Vibration Suppression

2020 ◽  
Vol 10 (4) ◽  
pp. 1548 ◽  
Author(s):  
Shenyan Chen ◽  
Zihan Yang ◽  
Minxiao Ying ◽  
Yanwu Zheng ◽  
Yanjie Liu ◽  
...  
Keyword(s):  
Vibration Suppression ◽  
Fe Model ◽  
Damping Force ◽  
Load Bearing ◽  
Force Velocity ◽  
Design Requirements ◽  
Bearing Design ◽  
Series Type ◽  
Vibration Tests ◽  
Important Design

The traditional series-type satellite vibration suppression scheme significantly decreases satellite frequency, which leads to difficulty in controlling the amplitude. In the present work, a new parallel viscous damping scheme is adopted on the Payload Adaptor Fitting (PAF), which aims to integrate a load-bearing design and vibration reduction. The vibration amplitude and weight are the most important design requirements of the damping system. The Finite Element (FE) model of PAF was established. Through a series of analyses, the appropriate number and coefficient of dampers were determined. The damping force was calculated according to the damping coefficient and the relative velocity between the two ends of the damper. Based on the damping force and the installation dimensions, the damping rod was designed. The force–velocity test was carried out on the damping rod prototype, which showed its performance satisfies the requirements. With the topology optimization and sizing optimization technology, the light-weight supports were designed and manufactured. One damping rod and two supports were assembled as one set of dampers. Eight sets of dampers were installed on the PAF. Vibration tests were conducted on the damping state PAF. The results showed that the proposed system is effective at suppressing vibration and maintaining stiffness simultaneously.

scholarly journals Feasibility of A Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7139
Author(s):  
Eldar Šabanovič ◽  
Paulius Kojis ◽  
Šarūnas Šukevičius ◽  
Barys Shyrokau ◽  
Valentin Ivanov ◽  
...  
Keyword(s):  
Neural Network ◽  
Relative Velocity ◽  
Short Term Memory ◽  
Reference Signal ◽  
Input Sequence ◽  
Velocity Estimation ◽  
Automated Driving ◽  
Virtual Sensor ◽  
Virtual Sensors ◽  
Unsprung Mass

With the automotive industry moving towards automated driving, sensing is increasingly important in enabling technology. The virtual sensors allow data fusion from various vehicle sensors and provide a prediction for measurement that is hard or too expensive to measure in another way or in the case of demand on continuous detection. In this paper, virtual sensing is discussed for the case of vehicle suspension control, where information about the relative velocity of the unsprung mass for each vehicle corner is required. The corresponding goal can be identified as a regression task with multi-input sequence input. The hypothesis is that the state-of-art method of Bidirectional Long–Short Term Memory (BiLSTM) can solve it. In this paper, a virtual sensor has been proposed and developed by training a neural network model. The simulations have been performed using an experimentally validated full vehicle model in IPG Carmaker. Simulations provided the reference data which were used for Neural Network (NN) training. The extensive dataset covering 26 scenarios has been used to obtain training, validation and testing data. The Bayesian Search was used to select the best neural network structure using root mean square error as a metric. The best network is made of 167 BiLSTM, 256 fully connected hidden units and 4 output units. Error histograms and spectral analysis of the predicted signal compared to the reference signal are presented. The results demonstrate the good applicability of neural network-based virtual sensors to estimate vehicle unsprung mass relative velocity.

scholarly journals Implementation of Virtual Sensors for Monitoring Temperature in Greenhouses Using CFD and Control

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 60 ◽  
Author(s):  
Cesar Guzmán ◽  
José Carrera ◽  
Héctor Durán ◽  
Javier Berumen ◽  
Arturo Ortiz ◽  
...  
Keyword(s):  
Real Time ◽  
Convection Heat Transfer ◽  
Small Scale ◽  
Measuring Instruments ◽  
Cfd Analysis ◽  
Virtual Sensor ◽  
Virtual Sensors ◽  
Model Based ◽  
Virtual Sensing ◽  
And Control

Virtual sensing is crucial in order to provide feasible and economical alternatives when physical measuring instruments are not available. Developing model-based virtual sensors to calculate real-time information at each targeted location is a complex endeavor in terms of sensing technology. This paper proposes a new approach for model-based virtual sensor development using computational fluid dynamics (CFD) and control. Its main objective is to develop a three-dimensional (3D) real-time simulator using virtual sensors to monitor the temperature in a greenhouse. To conduct this study, a small-scale greenhouse was designed, modeled, and fabricated. The controller was based on the convection heat transfer equation under specific assumptions and conditions. To determine the temperature distribution in the greenhouse, a CFD analysis was conducted. Only one well-calibrated and controlled physical sensor (temperature reference) was enough for the CFD analysis. After processing the result that was obtained from the real sensor output, each virtual sensor had learned the associative transfer function that estimated the output from given input data, resulting in a 3D real-time simulator. This study has demonstrated, for the first time, that CFD analysis and a control strategy can be combined to obtain system models for monitoring the temperature in greenhouses. These findings suggest that, generally, virtual sensing can be applied in large greenhouses for monitoring the temperature using a 3D real-time simulator.

scholarly journals Study of Safe Design Against Earthquake with the Furniture in Kindergarten, Based on the Idea of the Triangle of Life

2015 ◽  
Vol 10 (Special-Issue1) ◽  
pp. 831-834
Author(s):  
Marzieh Ahmadnejad ◽  
Maryam Darbandi
Keyword(s):  
Child Care ◽  
Natural Disaster ◽  
Research Method ◽  
Status Quo ◽  
Practical Guidelines ◽  
Design Requirements ◽  
Research Questions ◽  
The Relationship ◽  
Important Design ◽  
Library Method

Kindergartens are one of the most vulnerable areas against the earthquake, because of the age of users and lack of training them to seek shelter in this event. Create safe shelters for children in kindergartens, is one of the most important design requirements that is ignored in the construction of this important space. Since most of the kindergartens are spaces that converted from another usage, so some solutions should be considered for kindergartens status quo to be safe against earthquake. The purpose of this search is establishing practical guidelines for the safety of child care spaces, as one of the most dangerous places against earthquake. The research questions that arise are: 1) how can make safe the kindergartens againstearthquake? 2) Can kindergartens be secure against earthquakes for users of these spaces, children, withuse of furniture? To answer these questions,first the idea of the triangle of life, have studied and analyzed the relationship between furniture and it. The research method used in this study, is library method according the study of the available samples. The results show that we can get maximum safety against this natural disaster rely on the idea of the triangle of life and using specific materials of furniture in kindergartens with training the children along playing haw to seek shelter during an earthquake within each class, and in the nearest possible space.

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