This research is aimed at the developing an optimal design of orthopaedic insole for plantar fasciitis treatment. This article presents a brief description of the experiment performed to analyse the pressure distribut...
This research is aimed at the developing an optimal design of orthopaedic insole for plantar fasciitis treatment. This article presents a brief description of the experiment performed to analyse the pressure distribution in human foot, and describes the necessary calculations made for the insole construction A mathematical model was built after the experiment and its further correction was performed, using machine learning algorithms. After the correction of the model, the polymer properties were analysed. The results of the analysis show that to perform the optimal unload of the loaded foot segments there is a need for a polymer thickness change. The respective analysis was performed and a necessary polymer thickness alteration range (1-2 mm) was introduced.
Kitting is a common approach of materials supply with mixed-model assembly, by which components are supplied to the assembly process in pre-sorted kits. With kitting, the kit preparation is a labour intensive process ...
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Kitting is a common approach of materials supply with mixed-model assembly, by which components are supplied to the assembly process in pre-sorted kits. With kitting, the kit preparation is a labour intensive process and order batching is often applied to enhance efficiency. Here, improved quality and efficiency by means of automation is desirable, but knowledge of the potential of collaborative robots to support kit preparation with order batching is lacking. The purpose of this paper is to identify the potential of cobots to support time-efficient kit preparation with order batching, when the pick task is performed manually and a cobot carries out the sort task. A modelling approach is applied with experimental data from laboratory experiments to compare the cycle time between fully manual and cobot-supported kit preparation with order batching. The findings suggest that a cobot-supported sort task leads to a comparable average cycle time, with less variability of the cycle time, when compared to the fully manual setup. The paper contributes several insights on the application of cobots to support kit preparation, and the model developed in the paper can be used by practitioners to assess the potential of cobots to support their processes for kit preparation. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Oral cancer is one of the most commonly known cancer worldwide. Thymoquinone (TQ) an extract from Nigella sativa, has clinically been proven as an anticancer therapeutic agent for oral cancer due to its intrinsic phar...
Oral cancer is one of the most commonly known cancer worldwide. Thymoquinone (TQ) an extract from Nigella sativa, has clinically been proven as an anticancer therapeutic agent for oral cancer due to its intrinsic pharmacological characteristics. Understanding the mechanisms of oral cancer proliferation and death in the presence of TQ is crucial so that the insight of the interaction of cancer cells and TQ can be discovered. Cancer cells in the presence of TQ is subjected to the uncontrolled factors of the environmental noise. Deterministic model is inadequate to explain this behaviour. Herein, a stochastic model is proposed to illustrate the dynamics of HSC-3 oral cancer cell lines in the presence of TQ. The deterministic model is perturbed with the noisy behaviour which then leads to the stochastic model. The model is simulated by using a four-stage stochastic Runge-Kutta (SRK4) method and the kinetic parameters are estimated by using the maximum likelihood estimation (MLE) method. The prediction quality of the model is measured by using root mean square error (RMSE). The low values of RMSE show the best-fit of the stochastic model.
In this paper, we present the results obtained by modelling the users' behaviours in a mixed mode office building in a tropical climate, more exactly in La Réunion. Few specific research studies on comfort in...
In this paper, we present the results obtained by modelling the users' behaviours in a mixed mode office building in a tropical climate, more exactly in La Réunion. Few specific research studies on comfort in tropical climates have been published, and there is little feedback on the users' behaviour in these buildings. In order to improve users' assumptions in the design phase, users' actions on ceiling fans and windows have been measured and analysed. These data have then been modelled by machine learning methods, according to hygrothermal comfort and occupancy. The F1 scores eventually obtained for predicting fan use by random forests, decision trees and Bayesian networks are 99%, 98% and 95% respectively. For windows use, the F1 scores obtained are 92%, 91% and 70%, which demonstrates the ability of the models tested to predict the users' behaviours.
This paper is the outcome of a small scale fuel cell project. Fuel cell is an electrochemical device that converts energy from chemical reaction to electrical work. Proton Exchange Membrane Fuel Cell (PEMFC) is one of...
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This paper is the outcome of a small scale fuel cell project. Fuel cell is an electrochemical device that converts energy from chemical reaction to electrical work. Proton Exchange Membrane Fuel Cell (PEMFC) is one of the different types of fuel cell, which is more efficient, having low operational temperature and fast start up capability results in high energy density. In this study, a mathematical model of 1.2 W PEMFC is developed and simulated using MATLAB software. This model describes the PEMFC behaviour under steady-state condition. This mathematical modeling of PEMFC determines the polarization curve, power generated, and the efficiency of the fuel cell. Simulation results were validated by comparing with experimental results obtained from the test of a single PEMFC with a 3 V motor. The performance of experimental PEMFC is little lower compared to simulated PEMFC, however both results were found in good agreement. Experiments on hydrogen flow rate also been conducted to obtain the amount of hydrogen consumed to produce electrical work on PEMFC.
human-swarm interaction (HSI) involves a number of human factors impacting humanbehaviour throughout the interaction. As the technologies used within HSI advance, it is more tempting to increase the level of swarm au...
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With the aging population, researchers around the world are investigating technological solutions to help seniors stay at home as long as possible. One of them is the concept of smart home, which is an intelligent hou...
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ISBN:
(纸本)9781450363907
With the aging population, researchers around the world are investigating technological solutions to help seniors stay at home as long as possible. One of them is the concept of smart home, which is an intelligent house equipped with sensors and actuators. Aging people often suffers from physical and cognitive impairments, which limit their abilities to perform their Activities of Daily Living (ADL). Therefore, the smart home needs to be able to assist its resident in carrying out their ADL, when it is required. Recognising the ongoing ADL constitutes then a key challenge of the assistive services. Being able to simulate users' behaviour is also an important issue, as well as being able to find an assistive step-by-step solution when something goes wrong. However, all theses challenges need to rely on a knowledge base of activities' models. In the past, many researchers tried to make use of some logical encoding of the activities by exploiting, for instance, first order logic. These approaches work fine for the inferential process but they are very rigid, complex and time consuming. More recently, scientists in the field tried to represent the activities using stochastic models, such as Bayesian Networks or Markov Model. These probabilistic methods do not represent activities very naturally and are very static state-transition models. In this paper, we propose the use of behaviour Trees (BT) as a means to represent the user's ADL in a smart home. BTs are mainly used in the video game industry as a powerful tool to model the behaviour of non-player characters. BTs allow the modelling of activities with a flexible, well-defined approach. We will present a first exploitation of the behaviour trees in a smart home simulator.
In this work, we build a model that mimics the cortico-amygdalo neuronal connections and studied their behavior. We started from the single neuron model of Izhikevich, going through the modeling of neuronal tissues th...
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In this work, we build a model that mimics the cortico-amygdalo neuronal connections and studied their behavior. We started from the single neuron model of Izhikevich, going through the modeling of neuronal tissues the cortical layers and its connections to the amygdala. We chose Izhikevich's model because of its simplicity and its ability to produce rich firing patterns just like the real biological neurons. This work has managed to simulate the effects of sadness and happiness of the human brain cortex by the aid of specialized computational in Python program language and its package, BRIAN simulator.
The article deals with the creation of a human tibia 3D model by means of "Autodesk Revit-2016" PC based on tomogram data. The model was imported into "Lira-SAPR2013 R4" software system. To assess ...
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The article deals with the creation of a human tibia 3D model by means of "Autodesk Revit-2016" PC based on tomogram data. The model was imported into "Lira-SAPR2013 R4" software system. To assess the possibility of education and the nature of bone fracture (and their visualization), the Finite Element Analysis (FEA) method was used. The geometric parameters of the BBK model corresponded to the physical parameters of the individual. The compact plate different thickness is modeled by rigidity properties of the finite elements in accordance with the parameters on the roentgenogram. The BBK model included parameters of the outer compact plate and the spongy substance having a more developed structure of the epiphysic region. In the "Lira-SAPR2013 R4" software system, mathematical modeling of the traumatic effect was carried out and the analysis of the stress-strain state of the finite element model of the tibia was made to assess fracture conditions.
The mathematical approach is the most commonly used approach in reservoir simulation. The classical mathematical approach considers numerous impractical assumptions leading toward the development of unrealistic reserv...
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The mathematical approach is the most commonly used approach in reservoir simulation. The classical mathematical approach considers numerous impractical assumptions leading toward the development of unrealistic reservoir simulator. In contrast, recently developed engineering approach is much promising as it has numerous advantages, such as – scope of bypassing the formulation of partial differential equations and discretization of partial differential equations, the ability to avoid rigorous and complex mathematics, and capability of realistic representation of reservoir behaviour through eliminating spurious assumptions. The present study outlines the route map for developing a reservoir simulator using an engineering approach. Major challenges encountered in reservoir simulation and the fundamentals of various available modelling approaches are addressed in this paper. The outlook for both classical mathematical approach and engineering approach are reviewed along with their strengths and weaknesses. Fluid flow equations are derived based on the proposed engineering approach. To do that, a set of non-linear algebraic flow equations in the time integral form is developed using the mass balance equation, an equation of state, and a constitutive equation without going through the formulation of partial differential equations and discretization step. The time integral is then approximated to obtain the non-linear algebraic flow equations for all the gridblocks of the reservoir. The significance of the engineering approach for describing the accurate fluid flow through porous media is compared to the to conventional mathematical approach. The engineering approach provides the same fluid flow equations as the classical mathematical approach for both the radial cylindrical and cartesian coordinate system but, without going through the formulation of partial differential equations and discretization step. Much simpler ordinary differential equation solvers, e.g., Runge-Ku
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