Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628231
Naeem Aftab, A. Jazlan, V. Sreeram, M. Lees, Mitchell Lees
Over the last few years, the fourth industrial revolution has captured attention both in the academic and industrial realms. The world is still developing an understanding of this new industrial revolution and how the digitisation of the manufacturing process enables a paradigm shift from mass production to customized production.This paper provides a concise introduction to some of the more popular components of Industry 4.0. It also provides an insight into the current support infrastructure for accelerating Industry 4.0 adoption in Australia, along with a perspective of the progress of the Australian manufacturing industry.The Australian manufacturing industry has been in decline for decades and currently represents around 6% of GDP. This is a concern as manufacturing helps raise the standard of living more than any other sector and is often considered to have the largest multiplier effect of all sectors in an economy. Digitisation (and Industry 4.0 technologies) are key components of the Australian Government’s modern manufacturing strategy.
{"title":"Industry 4.0: An Introduction to the Future of Manufacturing in Australia","authors":"Naeem Aftab, A. Jazlan, V. Sreeram, M. Lees, Mitchell Lees","doi":"10.1109/anzcc53563.2021.9628231","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628231","url":null,"abstract":"Over the last few years, the fourth industrial revolution has captured attention both in the academic and industrial realms. The world is still developing an understanding of this new industrial revolution and how the digitisation of the manufacturing process enables a paradigm shift from mass production to customized production.This paper provides a concise introduction to some of the more popular components of Industry 4.0. It also provides an insight into the current support infrastructure for accelerating Industry 4.0 adoption in Australia, along with a perspective of the progress of the Australian manufacturing industry.The Australian manufacturing industry has been in decline for decades and currently represents around 6% of GDP. This is a concern as manufacturing helps raise the standard of living more than any other sector and is often considered to have the largest multiplier effect of all sectors in an economy. Digitisation (and Industry 4.0 technologies) are key components of the Australian Government’s modern manufacturing strategy.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122104925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628240
Khaoula Tidriri, Ahmad Braydi, H. Kazmi
The energy sector is undergoing a profound transition to meet climate objectives while ensuring global access. Out of all the renewable energy alternatives, wind energy is the most developed technology worldwide. In order to ensure the profitability of wind farms, it is necessary to reduce maintenance and operating costs. To this end, the wind energy industry has recently set its sight on the benefits of Prognostic. This latter aims to accurately predict when a certain equipment might fail by continuously monitoring the wind turbine health. In this paper, a data-driven decision-making methodology that combines prognostic and health management is proposed for a wind farm. The prognostic step aims to predict and isolate five components failures before they occur while the health management step uses this information to make decisions about the maintenance scheduling of wind turbines. The proposed methodology takes into account three maintenance actions, each associated to a specific cost: inspection, replacement or repair. Based on our predictions and associated maintenance costs, a total decision saving can be computed to evaluate our decision-making strategy and compare it with the literature. Finally, the proposed methodology is implemented and validated on real world data sets.
{"title":"Data-driven Decision-Making Methodology for Prognostic and Health Management of Wind Turbines*","authors":"Khaoula Tidriri, Ahmad Braydi, H. Kazmi","doi":"10.1109/anzcc53563.2021.9628240","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628240","url":null,"abstract":"The energy sector is undergoing a profound transition to meet climate objectives while ensuring global access. Out of all the renewable energy alternatives, wind energy is the most developed technology worldwide. In order to ensure the profitability of wind farms, it is necessary to reduce maintenance and operating costs. To this end, the wind energy industry has recently set its sight on the benefits of Prognostic. This latter aims to accurately predict when a certain equipment might fail by continuously monitoring the wind turbine health. In this paper, a data-driven decision-making methodology that combines prognostic and health management is proposed for a wind farm. The prognostic step aims to predict and isolate five components failures before they occur while the health management step uses this information to make decisions about the maintenance scheduling of wind turbines. The proposed methodology takes into account three maintenance actions, each associated to a specific cost: inspection, replacement or repair. Based on our predictions and associated maintenance costs, a total decision saving can be computed to evaluate our decision-making strategy and compare it with the literature. Finally, the proposed methodology is implemented and validated on real world data sets.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130624564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628277
B. Shafai, Anahita Moradmand
This paper considers the problem of positive stabilization for a special class of nonlinear system consisting of a linear part and an additive nonlinearity. The positive nonlinear system is defined in terms of a Metzler matrix associated with the linear part and the nonlinearity is assumed to satisfy the quadratic inequality. First, we provide preliminary results on positive stability for linear systems and generalize it for the special class of separable positive nonlinear systems. Then robust stability is formulated in terms of LMI. Finally, positive stabilization with state feedback is analyzed and a design procedure is outlined which can also be performed through its associated LMI.
{"title":"Positive Stabilization for a Class of Separable Positive Nonlinear Systems","authors":"B. Shafai, Anahita Moradmand","doi":"10.1109/anzcc53563.2021.9628277","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628277","url":null,"abstract":"This paper considers the problem of positive stabilization for a special class of nonlinear system consisting of a linear part and an additive nonlinearity. The positive nonlinear system is defined in terms of a Metzler matrix associated with the linear part and the nonlinearity is assumed to satisfy the quadratic inequality. First, we provide preliminary results on positive stability for linear systems and generalize it for the special class of separable positive nonlinear systems. Then robust stability is formulated in terms of LMI. Finally, positive stabilization with state feedback is analyzed and a design procedure is outlined which can also be performed through its associated LMI.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133626443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628281
Hailong Huang, A. Savkin
This paper considers using unmanned aerial vehicles (UAVs) to survey remote sites across a city. Suppose that a UAV can take public transportation vehicles (PTVs) like a passenger. Then, it may reach a site that is unreachable by flying only. Based on this UAV-PTV scheme, we investigate a task-UAV assignment problem. We formulate a mixed-integer linear programming (MILP) problem that minimizes the overall energy consumption of UAVs, subject to that every site is surveyed by a certain number of UAVs during a given time window. This problem is NP-hard, and we present a sub-optimal solution. It orders the surveillance tasks according to the time windows. Then, starting from the earliest task, it assigns the tasks one by one to UAVs. The comparison with the brute force method shows that the proposed solution can achieve competitive performance in a reasonable time.
{"title":"Surveillance of Remote Targets by UAVs *","authors":"Hailong Huang, A. Savkin","doi":"10.1109/anzcc53563.2021.9628281","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628281","url":null,"abstract":"This paper considers using unmanned aerial vehicles (UAVs) to survey remote sites across a city. Suppose that a UAV can take public transportation vehicles (PTVs) like a passenger. Then, it may reach a site that is unreachable by flying only. Based on this UAV-PTV scheme, we investigate a task-UAV assignment problem. We formulate a mixed-integer linear programming (MILP) problem that minimizes the overall energy consumption of UAVs, subject to that every site is surveyed by a certain number of UAVs during a given time window. This problem is NP-hard, and we present a sub-optimal solution. It orders the surveillance tasks according to the time windows. Then, starting from the earliest task, it assigns the tasks one by one to UAVs. The comparison with the brute force method shows that the proposed solution can achieve competitive performance in a reasonable time.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133659667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628318
Gijo Sebastian, Y. Tan, Meng Miao, D. Oetomo
This paper presents a decentralised web tension and speed control system using two active disturbance rejection controller and two extended state observers designed independently for estimating the effects of decoupled dynamics and unknown internal disturbances on the dynamics of the master speed roller and the rewinding roller. The main results show that the proposed controllers are capable of achieving any given arbitrary tracking error when the initial conditions stay within a given compact set. The theoretical findings are supported by simulation results.
{"title":"Web Tension and Speed Control in Rewinding Systems using Active Disturbance Rejection Control","authors":"Gijo Sebastian, Y. Tan, Meng Miao, D. Oetomo","doi":"10.1109/anzcc53563.2021.9628318","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628318","url":null,"abstract":"This paper presents a decentralised web tension and speed control system using two active disturbance rejection controller and two extended state observers designed independently for estimating the effects of decoupled dynamics and unknown internal disturbances on the dynamics of the master speed roller and the rewinding roller. The main results show that the proposed controllers are capable of achieving any given arbitrary tracking error when the initial conditions stay within a given compact set. The theoretical findings are supported by simulation results.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134486516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628256
Balaji Jayaraman, A. Ghosh
This paper presents a framework for attitude tracking flight control for a light aircraft using Cascaded and Non-Cascaded Incremental Nonlinear Dynamic Inversion structures. The theoretical background, properties, and a framework for flight control based on both the incremental nonlinear dynamic inversion control variants are presented in this paper. A study on the attitude tracking performance of the incremental dynamic inversion controller with and without time-scale separation or a light aircraft is performed through numerical simulations under nominal conditions and under the influence of model uncertainties.
{"title":"Cascaded and Non-Cascaded Incremental Nonlinear Dynamic Inversion Flight Control Applied to a Light Aircraft","authors":"Balaji Jayaraman, A. Ghosh","doi":"10.1109/anzcc53563.2021.9628256","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628256","url":null,"abstract":"This paper presents a framework for attitude tracking flight control for a light aircraft using Cascaded and Non-Cascaded Incremental Nonlinear Dynamic Inversion structures. The theoretical background, properties, and a framework for flight control based on both the incremental nonlinear dynamic inversion control variants are presented in this paper. A study on the attitude tracking performance of the incremental dynamic inversion controller with and without time-scale separation or a light aircraft is performed through numerical simulations under nominal conditions and under the influence of model uncertainties.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130431722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628214
Ruixin Wen, Eric Schoof, Airlie Chapman
This paper studies the clock parameter estimation and joint position and clock parameter estimation of ultra-wideband (UWB) sensor networks. We propose the clock rigidity theory following a similar approach in distance rigidity and bearing rigidity theory. We show that given the timestamp measurements in a time-of-arrival (TOA) ranging process, the clock parameters in an infinitesimally clock rigid framework can be uniquely determined up to trivial clock variations. We also propose the joint rigidity theory, showing that the positions and clock parameters of an infinitesimally joint rigid framework can be uniquely determined up to trivial joint variations. Simulation results are presented to demonstrate the clock estimation and joint position-clock estimation.
{"title":"Estimation for Ultra-Wideband Sensor Networks: a Rigidity Perspective","authors":"Ruixin Wen, Eric Schoof, Airlie Chapman","doi":"10.1109/anzcc53563.2021.9628214","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628214","url":null,"abstract":"This paper studies the clock parameter estimation and joint position and clock parameter estimation of ultra-wideband (UWB) sensor networks. We propose the clock rigidity theory following a similar approach in distance rigidity and bearing rigidity theory. We show that given the timestamp measurements in a time-of-arrival (TOA) ranging process, the clock parameters in an infinitesimally clock rigid framework can be uniquely determined up to trivial clock variations. We also propose the joint rigidity theory, showing that the positions and clock parameters of an infinitesimally joint rigid framework can be uniquely determined up to trivial joint variations. Simulation results are presented to demonstrate the clock estimation and joint position-clock estimation.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126387143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628278
V. L. B. Tuan, A. Hajjaji, O. Pagès
This paper deals with the observer-based robust control design problem for affine quadratic systems with parametric uncertainties. The prerequisite design conditions derive via the Lyapunov function with saturation constraints enforced by sector nonlinearity conditions. The non-convex and bilinear problems involved in the stabilization condition are converted into convex optimization problems using Young’s inequality, and the cone-complementary linearization. Then, controller and observer gains are obtained by set feasible solutions of linear matrix inequality (LMI) conditions under ${mathcal{L}_2}$-bounded disturbance. The effectiveness of the proposed design methodology is demonstrated through numerical simulations.
{"title":"Further Results of Robust Observer-Based Control Synthesis for Saturated Linear Parameter Varying Systems","authors":"V. L. B. Tuan, A. Hajjaji, O. Pagès","doi":"10.1109/anzcc53563.2021.9628278","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628278","url":null,"abstract":"This paper deals with the observer-based robust control design problem for affine quadratic systems with parametric uncertainties. The prerequisite design conditions derive via the Lyapunov function with saturation constraints enforced by sector nonlinearity conditions. The non-convex and bilinear problems involved in the stabilization condition are converted into convex optimization problems using Young’s inequality, and the cone-complementary linearization. Then, controller and observer gains are obtained by set feasible solutions of linear matrix inequality (LMI) conditions under ${mathcal{L}_2}$-bounded disturbance. The effectiveness of the proposed design methodology is demonstrated through numerical simulations.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"29 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120892517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628377
P. Devan, F. Hussin, R. Ibrahim, Kishore Bingi, H. Abdulrab
Controlling of real-time pressure process is more difficult because of its high sensitivity than its simulation environment. In some cases, the dead time associated with the process leads to non-linear and unpredicted behaviour. The conventional PI controller family is widely adopted for these processes because of their easy implementation, simple structure, and fewer tunable parameters. However, their performance is not effective during the changes in the system’s dynamic conditions like variation in set-point, high-frequency noise, and external disturbances due to the control signal deterioration. Therefore, in this paper, a novel controller is formed by hybridizing the robust fractional-order PI controller with the dead-time compensating smith predictor to handle the stochastic delay, noise, and peak overshoot reduction. The proposed controller maintains the same number of controller parameters possessed by the conventional PID controller; this gives easy tuning like the conventional ones. The step-response characteristics are compared with traditional PI, fractional-order PI, and predictive PI controllers to validate the proposed controller’s ability to handle the process noise, external disturbances, variable set-point, and system dead-time.
{"title":"Design of Fractional-Order Predictive PI Controller for Real-time Pressure Process Plant *","authors":"P. Devan, F. Hussin, R. Ibrahim, Kishore Bingi, H. Abdulrab","doi":"10.1109/anzcc53563.2021.9628377","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628377","url":null,"abstract":"Controlling of real-time pressure process is more difficult because of its high sensitivity than its simulation environment. In some cases, the dead time associated with the process leads to non-linear and unpredicted behaviour. The conventional PI controller family is widely adopted for these processes because of their easy implementation, simple structure, and fewer tunable parameters. However, their performance is not effective during the changes in the system’s dynamic conditions like variation in set-point, high-frequency noise, and external disturbances due to the control signal deterioration. Therefore, in this paper, a novel controller is formed by hybridizing the robust fractional-order PI controller with the dead-time compensating smith predictor to handle the stochastic delay, noise, and peak overshoot reduction. The proposed controller maintains the same number of controller parameters possessed by the conventional PID controller; this gives easy tuning like the conventional ones. The step-response characteristics are compared with traditional PI, fractional-order PI, and predictive PI controllers to validate the proposed controller’s ability to handle the process noise, external disturbances, variable set-point, and system dead-time.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122862062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628381
Jian Zhang
As the demand for autonomous mobile robots has risen sharply, the collision-free path planning/navigation problem has become and still is a focus of attention for many researchers. This paper covers a rangeof path planning approaches for various types of mobile robots, such as ground mobile robots, unmanned aerial vehicles, and autonomous vehicles. The literature is classified into two categories: global path planning and reactive path planning. To help readers comprehend the flow within each category, we analyze and compare each category from the perspectives of environmental modeling, optimization criteria, and different methods for path planning. In comparison to earlier survey articles, we place a greater emphasis on Artificial Intelligence (AI) and self-learning navigation methods. In particular, different robot kinematic models are also discussed in thisarticle. Finally, we indicated some future research directions.
{"title":"Novel Autonomous Algorithms of Path Planning for Mobile Robots: A Survey","authors":"Jian Zhang","doi":"10.1109/anzcc53563.2021.9628381","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628381","url":null,"abstract":"As the demand for autonomous mobile robots has risen sharply, the collision-free path planning/navigation problem has become and still is a focus of attention for many researchers. This paper covers a rangeof path planning approaches for various types of mobile robots, such as ground mobile robots, unmanned aerial vehicles, and autonomous vehicles. The literature is classified into two categories: global path planning and reactive path planning. To help readers comprehend the flow within each category, we analyze and compare each category from the perspectives of environmental modeling, optimization criteria, and different methods for path planning. In comparison to earlier survey articles, we place a greater emphasis on Artificial Intelligence (AI) and self-learning navigation methods. In particular, different robot kinematic models are also discussed in thisarticle. Finally, we indicated some future research directions.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133837854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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