Compton scattering with bound electrons contributes to a significant atomic effect in low-momentum transfer,yielding background structures in direct light dark matter searches as well as low-energy rare event *** repo...
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Compton scattering with bound electrons contributes to a significant atomic effect in low-momentum transfer,yielding background structures in direct light dark matter searches as well as low-energy rare event *** report the measurement of Compton scattering in low-momentum transfer by implementing a 10-g germanium detector bombarded by a^(137)Cs source with a radioactivity of 8.7 mCi and a scatter photon captured by a cylindrical NaI(Tl)detector.A fully relativistic impulse approximation combined with multi-configuration Dirac–Fock wavefunctions was evaluated,and the scattering function of Geant4 software was replaced by our calculation *** measurements show that the Livermore model with the modified scattering function in Geant4 is in good agreement with the experimental *** is also revealed that atomic many-body effects significantly influence Compton scattering for low-momentum transfer(sub-keV energy transfer).
A new deep-learning approach, dual-domain diffusion model (DDDM), is proposed for sparse-view CT reconstruction, which is composed of a sinogram upgrading module (SUM) and an image refining module (IRM) connected in s...
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The paper develops a multivariable extremum seeking control based on decreasing perturbation signal for multivariable dynamical systems, to speed up convergence and improve the control precision of extremum seeking (E...
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With the continuous development of China's economy and the acceleration of urbanization, the load level of urban power grid is increasing and the peaking pressure is growing year by year. Grid-side energy storage ...
With the continuous development of China's economy and the acceleration of urbanization, the load level of urban power grid is increasing and the peaking pressure is growing year by year. Grid-side energy storage using battery storage technology has the characteristics of fast response, high flexibility and low loss. Based on this, this paper proposes a grid-side energy storage planning considering the urban power grid peaking demand. The method first constructs a multidimensional evaluation system of urban power grid load level according to the evaluation index of urban power grid load level to realize the perception of urban power grid peaking demand, and then establishes the grid-side energy storage planning model and distribution network revenue model, respectively. Finally, simulations are performed in a modified IEEE 14 node system to demonstrate the feasibility of the proposed method.
For port emission reduction, berth allocation is one of the key decisions. This paper tackles a continuous berth allocation problem under the low-carbon target, taking into account the uncertainty of vessels' arri...
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With the continuous access of distributed PV to the distribution network and the phenomenon of “curtailment of hydro”, in order to absorb the PV and make full use of it, the excess PV can be absorbed through the IES...
With the continuous access of distributed PV to the distribution network and the phenomenon of “curtailment of hydro”, in order to absorb the PV and make full use of it, the excess PV can be absorbed through the IES. In order to plan and size the comprehensive energy system economically and reasonably, firstly, the interaction model of multiple energy flow source-charge in the system is modeled, and the interaction nodes between energy flows are defined. Then, considering the objectives of cost and benefit, unit equipment involved in IES planning are constrained and the optimization strategy is selected. Finally, validated the rationality of the optimization model of the IES proposed in this paper is verified by the example of the integrated energy application scenario set up for the specific absorption of photovoltaic energy, which reflects the effectiveness of the IES for the cross-border absorption of photovoltaic energy.
In gas drilling operations, the appropriate enhancement of the Rate of Penetration (ROP) significantly contributes to improved drilling efficiency and reduced drilling costs. The core objective of ROP optimization is ...
In gas drilling operations, the appropriate enhancement of the Rate of Penetration (ROP) significantly contributes to improved drilling efficiency and reduced drilling costs. The core objective of ROP optimization is to identify the most effective combination of drilling parameters that can maximize the ROP to the greatest extent possible. However, conventional optimization algorithms often struggle in real-time optimization and stability due to the varied stratum characteristics, drilling equipment, and the ambiguous relationship between drilling parameters and ROP. In this study, we introduce a high-speed and robust real-time optimization method that meets the demands of global ROP optimization under an array of drilling conditions. More specifically, we leverage the speed and efficiency of the Bayesian optimization algorithm in finding extremum to construct an adaptive optimization model. This model is capable of swiftly recommending the optimal combination of drilling parameters, augmenting its performance through online learning from historical drilling operation data. Our experimental results substantiate that the adaptive model effectively enhances the ROP in drilling operations across diverse well depths and geographical locations.
The valuation of premium power based on perceived utility(PU,i.e.,perceived effectiveness or satisfaction degree of customers)and their willingness to pay has been researched for *** of the remaining challenges is the...
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The valuation of premium power based on perceived utility(PU,i.e.,perceived effectiveness or satisfaction degree of customers)and their willingness to pay has been researched for *** of the remaining challenges is the accurate evaluation of *** is the foundation of premium power evaluation,and it is essential for the decision-making process of investments on premium power by high-tech manufacturers(HTMs).This paper presents a framework to effectively evaluate *** this framework,factors influencing PU were classified to be quantitative and *** indication system(IS)was then constructed based on those influencing ***,PU was evaluated by the IS,considering psychological perception and decision-making behavior of *** effectiveness of the proposed PU-evaluation framework was demonstrated through field case studies.
This paper deals with the problem of containment control of multi-unmanned aerial vehicle (UAV) systems with actuator faults and energy consumption optimization. First, an containment error system based on the communi...
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