We find that we made a mistake in the estimation of the H2O2 concentration by the colorimetric method in our previous paper (J. Lin et al., Eur. Phys. J. D (2020) 74: 80) [1].
We find that we made a mistake in the estimation of the H2O2 concentration by the colorimetric method in our previous paper (J. Lin et al., Eur. Phys. J. D (2020) 74: 80) [1].
In this paper, we demonstrate a new dataflow platform of DFC, which can handle the successive dataflow computing passes with tagged data. By implementing the matrix multiplication in DFC, we show that DFC can exploit ...
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ISBN:
(数字)9781728126166
ISBN:
(纸本)9781728126173
In this paper, we demonstrate a new dataflow platform of DFC, which can handle the successive dataflow computing passes with tagged data. By implementing the matrix multiplication in DFC, we show that DFC can exploit the parallelism automatically with a much simple dataflow graph constructed by DF functions of DFC. Different from the other dataflow execution platform, DFC support multiple worker threads for one dataflow node of DF functions. By running the matrix multiplication program of DFC on Kunlun system, it was verified that DFC get a reasonable speedup for large scale computing for thread number up to 512.
In the envisioned smart grid, high penetration of uncertain renewables, unpredictable participation of (industrial) customers, and purposeful manipulation of smart meter readings, all highlight the need for accurate, ...
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In the envisioned smart grid, high penetration of uncertain renewables, unpredictable participation of (industrial) customers, and purposeful manipulation of smart meter readings, all highlight the need for accurate, fast, and robust power system state estimation (PSSE). Nonetheless, most real-time data available in the current and upcoming transmission/distribution systems are nonlinear in power system states (i.e., nodal voltage phasors). Scalable approaches to dealing with PSSE tasks undergo a paradigm shift toward addressing the unique modeling and computational challenges associated with those nonlinear measurements. In this study, we provide a contemporary overview of PSSE and describe the current state of the art in the nonlinear weighted least-squares and least-absolutevalue PSSE. To benchmark the performance of unbiased estimators, the Cramer-Rao lower bound is developed. Accounting for cyber attacks, new corruption models are introduced, and robust PSSE approaches are outlined as well. Finally, distribution system state estimation is discussed along with its current challenges. Simulation tests corroborate the effectiveness of the developed algorithms as well as the practical merits of the theory.
Advanced information and communication technolo-gies can be used to facilitate traffic incident *** an incident is detected and blocks a road link,in order to reduce the incident-induced traffic congestion,a dynamic s...
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Advanced information and communication technolo-gies can be used to facilitate traffic incident *** an incident is detected and blocks a road link,in order to reduce the incident-induced traffic congestion,a dynamic strategy to deliver incident information to selected drivers and help them make detours in urban areas is proposed by this ***-dependent shortest path algorithms are used to generate a subnetwork where vehicles should receive such information.A simulation approach based on an extended cell transmission model is used to describe traffic flow in urban networks where path information and traffic flow at downstream road links are well *** results reveal the influences of some major parameters of an incident-induced congestion dissipation process such as the ratio of route-changing vehicles to the total vehicles,operation time interval of the proposed strategy,traffic density in the traffic network,and the scope of the area where traffic incident information is *** results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.
This paper describes the implementation of automatic generation control (AGC) and automatic voltage regulator (AVR) under generation rate constraint (GRC) and coupling between automatic generation control and automati...
This paper describes the implementation of automatic generation control (AGC) and automatic voltage regulator (AVR) under generation rate constraint (GRC) and coupling between automatic generation control and automatic voltage regulator while considering generation rate constrain of two areas for improve and better performance characteristic of load frequency control (LFC) problem. our control aim has to normalize the area control error (ACE), frequency error and tie-line power error in spite of the presences of system uncertainties and external load disturbance, So that the required frequency and power interchange with adjacent structures are maintained in order to reduce the transient deviations and to provide zero steady state error in proper short time, the behavior of the planned is checked by MATLAB SIMULINK software.
A series of previous work has found that the environmental constraint (EC), which is the natural result of the contact of the robot and the interacting objects, is immensely helpful for the realization of high-precisi...
ISBN:
(数字)9781728160757
ISBN:
(纸本)9781728160764
A series of previous work has found that the environmental constraint (EC), which is the natural result of the contact of the robot and the interacting objects, is immensely helpful for the realization of high-precision robotic tasks. However, due to the existence of multifarious errors, such as mechanical error, modeling error and sensing error, there would be discrepancy between the actual constraints and the ideal models. In such case, it is hard to realize manipulation with EC-based strategies. Inspired by human, a preliminary framework which aims at the integration of the coarse sensing information and the environmental constraints is proposed for robotic manipulation. By mapping the sensing information into the new space, where the environmental constraint can be formally described, the region that integrates the sensing information and the environmental constraint is constructed and the conditions to achieve high-precision manipulation are derived. Based on the conditions, a motion planning strategy is proposed to achieve the required task. The effectiveness of this strategy is verified by case studies.
Thermal metamaterials have served as a practical way to manipulate heat flow thanks to their judiciously designed structures, which achieve various functionalities. However, the connection and interplay between variou...
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Thermal metamaterials have served as a practical way to manipulate heat flow thanks to their judiciously designed structures, which achieve various functionalities. However, the connection and interplay between various possible structural configurations and their functions’ switchability have long been neglected and this is usually perceived as “one configuration, one function.” Here, we propose a doublet thermal metadevice in which we utilize the local configuration of two unequal conductivity phases to manipulate global temperature distribution. Based on effective medium theory, we apply the phase interchange identity to show that the functionalities of transparency, cloaking, concentrating, and rotating can be unified. The doublet thermal metadevice is capable of realizing tunable multifunctions by simply adjusting the angular displacement of specific sublayers of the assembly. The functional diversity of the device can be further extended in two ways. One way is to use a secondary transformation and the other way is to alter the shape parameter of the unit phase. This work provides a different framework to understand and design thermal metamaterials, which might be extended to other disciplines such as optics, electromagnetics, and acoustics.
With the increasing penetration of distributed energy resources (DERs), it is of vital importance to study the dynamic stability of microgrids (MGs) with external control inputs in the electromagnetic transient (EMT) ...
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Wave propagation and diffusion in linear materials preserve local reciprocity in terms of a symmetric Green's function. For wave propagations, people usually focus on the signals entering and leaving a system, and...
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Recently, the combination of spatial modulation (SM) and non- orthogonal multiple access (NOMA) is proposed to enhance the spectral efficiency (SE) of downlink multi-user (MU) systems. However, traditional SM aided NO...
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ISBN:
(数字)9781728109602
ISBN:
(纸本)9781728109619
Recently, the combination of spatial modulation (SM) and non- orthogonal multiple access (NOMA) is proposed to enhance the spectral efficiency (SE) of downlink multi-user (MU) systems. However, traditional SM aided NOMA (SM-NOMA) systems require many radio frequency (RF) chains, which increases the implementation cost and lowers the energy efficiency (EE). In this paper, we propose a novel single-RF SM-NOMA system, in which the spatial domain bits can be flexibly divided for different user equipments (UEs). In addition, we analyze the SE of our proposed single-RF SM-NOMA system, and a closed-form SE lower bound is also derived. The tightness of our proposed SE lower bound is validated via Monte Carlo simulations, and the SE comparisons of different SM-NOMA systems are also shown, which illustrates the effectiveness of the proposed single-RF SM-NOMA system.
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