This paper provides preliminary discourse on buzz words about Industry 4.0 and Society 5.0. This discourse focuses on the lens of Condition Based Maintenance (CBM) and Machine Learning of Artificial Intelligence (MLAI...
This paper provides preliminary discourse on buzz words about Industry 4.0 and Society 5.0. This discourse focuses on the lens of Condition Based Maintenance (CBM) and Machine Learning of Artificial Intelligence (MLAI). To some extent several companies have embarked Industry 4.0 and Society 5.0 within Internet of Things (IoT) technology. Through the wave of IoT Technology, Industries are adopting automated machinery. Predictive maintenance (PM) is indispensable not only toward the machines' vitality and longevity purpose, but also toward the human error reduction. This paper elaborates its discourse of Industry 4.0 and Society through the lens of CBM and MLAI. The mentioned Machine Learning, in this paper, refers to research methodology, as methodological frameworks. Those frameworks comprise several phases, which are: 1. Equipment Analysis; 2. Data Evaluation; 3. Data Selection and Process; 4. Modeling; 5. Decision Support Model Evaluation. The MLAI techniques are based upon the identification of behaviour patterns. This identification comprises datasets that exclude mathematical models or prior historical knowledge. The discourse in this paper intertwines CBM process and MLAI through data cleaning and processing, features stratification and extraction, model stratification and validation. This paper elaborates two renowned maintenance approaches which are preventive and corrective maintenance. Discourse in this paper focuses on corrective action, known as predictive maintenance (PM), or condition based maintenance (CBM) within Reliability Centered Maintenance (RCM). CBM is chosen as the most desirable strategy, as it involves the intervention as the consequence of the machine breakdown. It also provides cost savings toward spare parts consumption, and optimizes production.
The humanbehavioural changes have been recognized as an important key in shaping the disease spreading and determining the success of control measures in the course of epidemic outbreaks. However, apart from cost-ben...
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The humanbehavioural changes have been recognized as an important key in shaping the disease spreading and determining the success of control measures in the course of epidemic outbreaks. However, apart from cost-benefit considerations, in reality, people are heterogeneous in their preferences towards adopting certain protective actions to reduce their risk of infection, and social norms have a function in individuals' decision making. Here, we studied the interplay between the epidemic dynamics, imitation dynamics and the heterogeneity of individual protective behavioural response under the considerations of both economic and social factors, with a simple mathematical compartmental model and multi-population game dynamical replicator equations. We assume that susceptibles in different subpopulations have different preferences in adopting either normal or altered behaviour. By incorporating both intra- and inter-group social pressure, the outcome of the strategy distribution depends on the initial proportion of susceptible with normal and altered strategies in both subpopulations. The increase of additional cost to susceptible with altered behaviour will discourage people to take up protective actions and hence results in higher epidemic final size. For a specific cost of altered behaviour, the social group pressure could be a "double edge sword", though. We conclude that the interplays between individual protective behaviour adoption, imitation and epidemic dynamics are necessarily complex if both economic and social factors act on populations with existing preferences.
Modified Quadruple conical tank system is benchmark a laboratory setup for testing of various linear and nonlinear control algorithms for the multivariable control system. This novel arrangement of quadruple conical t...
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This paper applies a cognitive modelling approach to model decision making of naïve subjects in virtual emergency situations. Virtual environments (VE) can be used as a virtual laboratory to investigate human beh...
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Physical human-robot interactions (pHRI) must be safe and should feel natural to the human operator. To this end impedance or admittance control is often employed to relate the force applied by the human to the dynami...
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Physical human-robot interactions (pHRI) must be safe and should feel natural to the human operator. To this end impedance or admittance control is often employed to relate the force applied by the human to the dynamic behavior of the robot. The robot in this work uses a load cell to sense the externally applied force. This paper presents a practical modelling procedure and implementation of admittance control that specifically deal with the undesired non-linearities caused by the use of a load cell. Experiments are performed on a 1-DoF (Degree of Freedom) testbed to validate the work done and the results show that the performance is satisfactory.
This paper is devoted to simulation of curvilinear movement of high-speed tracked vehicles driven by human operators with different qualification. The mathematical model of the high-speed tracked vehicle's movemen...
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ISBN:
(纸本)9781509056484
This paper is devoted to simulation of curvilinear movement of high-speed tracked vehicles driven by human operators with different qualification. The mathematical model of the high-speed tracked vehicle's movement with provisions for description of a human operator is reduced. A skill level reflecting probability of faultless work of the human operator is chosen as an estimate criterion. This probability is unambiguously defined by the correction coefficient value depending not on training duration, as usual, but by results of total qualification tests (so-called degree of proficiency of the human operator). Results of simulation of the high-speed tracked vehicle's control system prove that the management quality depends on the qualification of the human operator. That is an indirect confirmation of adequacy of the offered human operator simulation model based on the Mamdani's Expert system.
Because of the lack of satisfactory solutions to explain biological systems, biologists usually focus on modelling and simulation tools to understand the behaviour of these complex organisms. Indeed, computational mod...
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Because of the lack of satisfactory solutions to explain biological systems, biologists usually focus on modelling and simulation tools to understand the behaviour of these complex organisms. Indeed, computational modelling and simulation of cells plays a pivotal role in systems biology. In this paper, we tackle the problem of studying the behaviour of human cells by reproducing the behaviour of complex biomolecular networks. To this end, we present in this paper an approach for simulating complex biomolecular networks inspired by the discrete-event simulation model (DEVS), a formalism developed for supporting the modelling of complex systems. In this paper, we propose a simulation tool, named CBNSimulator, based on a logical model of the biomolecular network and taking advantage of the performance of a discrete-time simulation model for understanding the evolution and the behaviour of complex biomolecular networks as a discrete sequence of events in time. The proposed tool has been applied to the case study of a ribosomal protein regulation network, named "the bacteriophage T4 gene 32, and results given by this simulation tool are in agreement with the experts judgement. Moreover, the graphical user interface of CBNSimulator allows biologists to easily reproduce, analyse and understand behaviour of complex biomolecular networks through discrete simulation. (C) 2017 The Authors. Published by Elsevier B.V.
Organic PV cells have gained tremendous attention in recent years for its advantage of having tailored molecular properties and economic manufacturing process. Along with the rigorous and rapid researches progressing ...
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Organic PV cells have gained tremendous attention in recent years for its advantage of having tailored molecular properties and economic manufacturing process. Along with the rigorous and rapid researches progressing in the field of organic photovoltaic cells, accurate modelling of organic PV cells has gained extreme importance. Hence in this paper, modelling of organic solar photovoltaic cells based on an improved reverse double diode model is presented. Apart from all other complex mathematical models available in literature, the modelling is performed by introducing simple circuit equations. Furthermore, the model is highly capable of realizing the ideal and non-ideal current-voltage characteristics of an organic PV cell. The eight unknown parameters of the model are extracted using Genetic Algorithm(GA) and the extracted parameters are used to predict the I-V characteristics of a nay-100 organic solar cell. The main aim of this paper is to study the behaviour of organic solar cells and to realize an accurate PV model to replicate the exact I-V characteristics. (C) 2017 The Authors. Published by Elsevier Ltd.
This paper presents studies about the transient state of circuits and the behaviour of a transformer at on/off switching. The transient state is a short event of energy modification in a system caused by a change in s...
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This paper presents studies about the transient state of circuits and the behaviour of a transformer at on/off switching. The transient state is a short event of energy modification in a system caused by a change in state. This energy variation produces impulses which propagate through the network and influence or can even destroy other devices. Because there are a lot of devices operating in switching mode, it is important to study the transient state. To study and model the transient state differential equations are written for the circuits. This article presents the mathematical base of the transient state and the types of response to it. To create a simple model, state parameters and transfer function were used. An important circuit element is the transformer which has a nonlinear characteristic caused by the magnetic coil material. The equivalent circuit for a real transformer is presented with and without load connected to the output. The differential equations were written using the equivalent circuit. The behaviour of the transformer was studied while functioning in an open circuit. The transfer function is deduced when a load is connected to the output. The step and sin response are studied in different cases, and values of the load. (C) 2017 The Authors. Published by Elsevier Ltd.
Early design decisions have an impact on downstream product development processes. Poor decisions can reduce efficiency and effectiveness, and have a detrimental effect on product quality, delivery time, and cost. How...
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ISBN:
(纸本)9781904670964
Early design decisions have an impact on downstream product development processes. Poor decisions can reduce efficiency and effectiveness, and have a detrimental effect on product quality, delivery time, and cost. However, the range of tools suitable for use in early design is limited, in part because of ambiguity in available design definitions. This paper reports research that investigated the role of complex decision making in a quality incident that occurred in the development of a complex product system. A case study approach with document analysis and semi-structured interviews was used. Data were analysed using lenses from both social sciences and engineering design. In this paper, we report the use of embedded design structures to gain insights into the downstream consequences of design decisions. Results indicate that embedded product, process and supply network structures have the potential to underpin a new generation of design tools for considering downstream complexities arising from early design choices. Such tools could both improve the quality of design decisions and support improved management of development processes by highlighting areas of future risk.
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