In a context of a virus that is transmissive by sputtering,wearing masks appear necessary to protect the wearer and to limit the propagation of the disease.Currently,we are facing the 2019-2020 coronavirus pandemic.Co...In a context of a virus that is transmissive by sputtering,wearing masks appear necessary to protect the wearer and to limit the propagation of the disease.Currently,we are facing the 2019-2020 coronavirus pandemic.Coronavirus disease 2019(COVID-19)is an infectious disease with first symptoms similar to the flu.The symptom of COVID-19 was reported first in China and very quickly spreads to the rest of the world.The COVID-19 contagiousness is known to be high by comparison with the flu.In this paper,we propose a design of a mobile application for permitting everyone having a smartphone and being able to take a picture to verify that his/her protection mask is correctly positioned on his/her face.Such application can be particularly useful for people using face protection mask for the first time and notably for children and old people.The designed method exploits Haar-like feature descriptors to detect key features of the face and a decision-making algorithm is applied.Experimental results show the potential of this method in the validation of the correct mask wearing.To the best of our knowledge,our work is the only one that currently proposes a mobile application design“CheckYourMask”for validating the correct wearing of protection mask.展开更多
Global energy demand,which is largely based on fossil fuels,is expected to increase rapidly.An effort must be made to mitigate carbon emissions and climate change to ensure sustainable and clean development.In recent ...Global energy demand,which is largely based on fossil fuels,is expected to increase rapidly.An effort must be made to mitigate carbon emissions and climate change to ensure sustainable and clean development.In recent years,the increasing share of renewable energy and energy-storage systems,the development of electric vehicles(EVs),promotion of energy efficiency and demand-side management(DSM)have become today’s solution technologies.The microgrid(MG),which involves the interconnection of several generation and storage units capable of operating locally with or without connection to the power grid,is also a very useful emerging technology.This study allowed the experimental operation and performance analysis of a grid-connected photovoltaic(PV)/battery/EV MG hybrid system,which was used for maximizing PV self-consumption and DSM objectives.The entire MG consisting of two subsystems(polycrystalline PV array of 2.16 kWp for Subsystem 1,monocrystalline PV system of 2.4 kWp for Subsystem 2,EV with lithium-ion battery capacity of 6.1 kWh)was installed under outdoor conditions at the University Institute of Technology in Mulhouse,France in August 2018.The operation and behaviour of the system components,including the inverter,batteries and power grid,were analysed in both scenarios with and without EV connection.The results shows that the total cumulative energy injected into the grid during the entire system operating cycle is estimated to be 3466.82 and 5836.58 kWh for Subsystems 1 and 2,respectively.In addition,the energy produced by Subsystem 2 during its lifetime and the emissions emitted are respectively estimated at 5597.65 kWh and 4.17 tons.The other results in terms of PV output power,energy yield,feed-in power and self-consumed energy were quantified and analysed in detail.展开更多
A non-linear optimal(H-infinity)control approach is proposed for the dynamic model of multi-degree-of-freedom(DOF)electro-hydraulic robotic manipulators.Control of electro-hydraulic manipulators is a non-trivial probl...A non-linear optimal(H-infinity)control approach is proposed for the dynamic model of multi-degree-of-freedom(DOF)electro-hydraulic robotic manipulators.Control of electro-hydraulic manipulators is a non-trivial problem because of their non-linear and multi-variable dynamics.In this study,the considered robotic system consists of a multi-link robotic manipulator that receives actuation from rotary electro-hydraulic drives.The article's approach relies first on approximate linearisation of the state-space model of the electro-hydraulic manipulator,according to first-order Taylor series expansion and the computation of the related Jacobian matrices.For the approximately linearised model of the manipulator,a stabilising H-infinity feedback controller is designed.To compute the controller's gains,an algebraic Riccati equation is solved at each time-step of the control algorithm.The global stability properties of the control scheme are proven through Lyapunov analysis.The proposed control method retains the advantages of typical optimal control,i.e.fast and accurate tracking of the reference setpoints under moderate variations of the control inputs.展开更多
文摘In a context of a virus that is transmissive by sputtering,wearing masks appear necessary to protect the wearer and to limit the propagation of the disease.Currently,we are facing the 2019-2020 coronavirus pandemic.Coronavirus disease 2019(COVID-19)is an infectious disease with first symptoms similar to the flu.The symptom of COVID-19 was reported first in China and very quickly spreads to the rest of the world.The COVID-19 contagiousness is known to be high by comparison with the flu.In this paper,we propose a design of a mobile application for permitting everyone having a smartphone and being able to take a picture to verify that his/her protection mask is correctly positioned on his/her face.Such application can be particularly useful for people using face protection mask for the first time and notably for children and old people.The designed method exploits Haar-like feature descriptors to detect key features of the face and a decision-making algorithm is applied.Experimental results show the potential of this method in the validation of the correct mask wearing.To the best of our knowledge,our work is the only one that currently proposes a mobile application design“CheckYourMask”for validating the correct wearing of protection mask.
文摘Global energy demand,which is largely based on fossil fuels,is expected to increase rapidly.An effort must be made to mitigate carbon emissions and climate change to ensure sustainable and clean development.In recent years,the increasing share of renewable energy and energy-storage systems,the development of electric vehicles(EVs),promotion of energy efficiency and demand-side management(DSM)have become today’s solution technologies.The microgrid(MG),which involves the interconnection of several generation and storage units capable of operating locally with or without connection to the power grid,is also a very useful emerging technology.This study allowed the experimental operation and performance analysis of a grid-connected photovoltaic(PV)/battery/EV MG hybrid system,which was used for maximizing PV self-consumption and DSM objectives.The entire MG consisting of two subsystems(polycrystalline PV array of 2.16 kWp for Subsystem 1,monocrystalline PV system of 2.4 kWp for Subsystem 2,EV with lithium-ion battery capacity of 6.1 kWh)was installed under outdoor conditions at the University Institute of Technology in Mulhouse,France in August 2018.The operation and behaviour of the system components,including the inverter,batteries and power grid,were analysed in both scenarios with and without EV connection.The results shows that the total cumulative energy injected into the grid during the entire system operating cycle is estimated to be 3466.82 and 5836.58 kWh for Subsystems 1 and 2,respectively.In addition,the energy produced by Subsystem 2 during its lifetime and the emissions emitted are respectively estimated at 5597.65 kWh and 4.17 tons.The other results in terms of PV output power,energy yield,feed-in power and self-consumed energy were quantified and analysed in detail.
文摘A non-linear optimal(H-infinity)control approach is proposed for the dynamic model of multi-degree-of-freedom(DOF)electro-hydraulic robotic manipulators.Control of electro-hydraulic manipulators is a non-trivial problem because of their non-linear and multi-variable dynamics.In this study,the considered robotic system consists of a multi-link robotic manipulator that receives actuation from rotary electro-hydraulic drives.The article's approach relies first on approximate linearisation of the state-space model of the electro-hydraulic manipulator,according to first-order Taylor series expansion and the computation of the related Jacobian matrices.For the approximately linearised model of the manipulator,a stabilising H-infinity feedback controller is designed.To compute the controller's gains,an algebraic Riccati equation is solved at each time-step of the control algorithm.The global stability properties of the control scheme are proven through Lyapunov analysis.The proposed control method retains the advantages of typical optimal control,i.e.fast and accurate tracking of the reference setpoints under moderate variations of the control inputs.
