Oblivious polynomial evaluation protocol is one of the fundamental protocols in secure multi-party computation domain. The existing oblivious polynomial evaluation protocol, only handling the univariate polynomial eva...
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Oblivious polynomial evaluation protocol is one of the fundamental protocols in secure multi-party computation domain. The existing oblivious polynomial evaluation protocol, only handling the univariate polynomial evaluation problems, is not enough to meet the demands in practice. In this paper, we propose a multivariate oblivious polynomial evaluation protocol depending on secure two-party scalar product protocol and homomorphic encryption scheme. To the best of our knowledge, this protocol is the first one to cope with both the univariate and multivariate oblivious polynomial evaluation problems. When we use our protocol and the existing one to solve the univariate oblivious polynomial evaluation problem, the performance analysis shows that at a same security level, the communication and computational overheads of our protocol are approximate O(1/ √|N| log |N|) times of those of the existing protocol, where |N| is the number of bits of the modulus N of the public key encryption schemes used in the two protocols.
Maximal multi-photon entangled states,known as NOON states,play an essential role in quantum *** the number of photons growing,NOON states are becoming increasingly powerful and advantageous for obtaining supersensiti...
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Maximal multi-photon entangled states,known as NOON states,play an essential role in quantum *** the number of photons growing,NOON states are becoming increasingly powerful and advantageous for obtaining supersensitive and super-resolved *** this paper,we propose a universal scheme for generating three-and four-photon path-entangled NOON states on a reconfigurable photonic chip via photons subtracted from pairs and detected by heralding *** method is postselection free,enabling phase supersensitive measurements and sensing at the Heisenberg *** NOON-state generator allows for integration of quantum light sources as well as practical and portable precision phase-related measurements.
FIR digital filters design involves multi-parameter optimization, on which the existing optimization algorithm doesn't work efficiently. This paper focuses on employing the proposed Quantum-behaved Particle Swarm ...
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ISBN:
(纸本)0769526160
FIR digital filters design involves multi-parameter optimization, on which the existing optimization algorithm doesn't work efficiently. This paper focuses on employing the proposed Quantum-behaved Particle Swarm Optimization (QPSO) to design FIR digital filters. QPSO is a global stochastic searching technique that can find out the global optima of the problem more rapidly than original PSO. After describing the origin and development of QPSO, we present how to use it in FIR digital filters design. It has been demonstrated by experiment results that QPSO outperforms the PSO and Genetic Algorithm (GA) for the problem.
Adsorbates often cover the surfaces of catalysts densely as they carry out reactions, dynamically altering their structure and reactivity. Understanding adsorbate-induced phenomena and harnessing them in our broader q...
Adsorbates often cover the surfaces of catalysts densely as they carry out reactions, dynamically altering their structure and reactivity. Understanding adsorbate-induced phenomena and harnessing them in our broader quest for improved catalysts is a substantial challenge that is only beginning to be addressed. Here we chart a path toward a deeper understanding of such phenomena by focusing on emerging in silico modeling methodologies, which will increasingly incorporate machine learning techniques. We first examine how adsorption on catalyst surfaces can lead to local and even global structural changes spanning entire nanoparticles, and how this affects their reactivity. We then evaluate current efforts and the remaining challenges in developing robust and predictive simulations for modeling such behavior. Last, we provide our perspectives in four critical areas—integration of artificial intelligence, building robust catalysis informatics infrastructure, synergism with experimental characterization, and adaptive modeling frameworks—that we believe can help surmount the remaining challenges in rationally designing catalysts in light of these complex phenomena.
A novel algorithm, named Quantum-behaved particle swarm optimization (QPSO) proposed by us previously is introduced in the design of two-dimensional (2-D) recursive digital filters. The design of the 2-D filters is re...
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ISBN:
(纸本)9780769527451
A novel algorithm, named Quantum-behaved particle swarm optimization (QPSO) proposed by us previously is introduced in the design of two-dimensional (2-D) recursive digital filters. The design of the 2-D filters is reduced to a constrained minimization problem that is solved by QPSO, which is a global stochastic searching technique and be able to find out the global optima of the problem more efficiently than original particle swarm optimization (PSO). Experiment results show the superiority of the proposed method by comparing it with those of some previous designs.
Recent studies have shown that the construction of nanophononic metamaterials can reduce thermal conductivity without affecting electrical properties,making them promising in many fields of application,such as energy ...
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Recent studies have shown that the construction of nanophononic metamaterials can reduce thermal conductivity without affecting electrical properties,making them promising in many fields of application,such as energy conversion and thermal ***,although extensive studies have been carried out on thermal conductivity reduction in nanophononic metamaterials,the local heat flux characteristic is still *** this work,we construct a heat flux regulator which includes a silicon nanofilm with silicon *** regulator has remarkable heat flux regulation ability,and various impacts on the regulation ability are ***,even in the region without nanopillars,the local heat current is still lower than that in pristine silicon nanofilms,reduced by the neighboring nanopillars through the thermal proximity *** combine the analysis of the phonon participation ratio with the intensity of localized phonon modes to provide a clear *** findings not only provide insights into the mechanisms of heat flux regulation by nanophononic metamaterials,but also will open up new research directions to control local heat flux for a broad range of applications,including heat management,thermoelectric energy conversion,thermal cloak,and thermal concentrator.
To implement five-axis functions in CNC system, based on domestic system Lan Tian series, an improved design method for the system software structure is proposed in this paper. The numerical control kernel of CNC syst...
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To implement five-axis functions in CNC system, based on domestic system Lan Tian series, an improved design method for the system software structure is proposed in this paper. The numerical control kernel of CNC system is divided into the task layer and the motion layer. A five-axis transformation unit is integrated into the motion layer. After classifying five-axis machines into different types and analyzing their geometry information, the five-axis kinematic library is designed according to the abstract factory pattern. Furthermore, by taking CA spindle- tilting machine as an example, the forward and the inverse kinematic transformations are deduced. Based on the new software architecture and the five-axis kinematic library, algorithms of RTCP (rotation tool center point control) and 3D radius compensation for end-milling are designed and realized. The milling results show that, with five-axis functions based on such software struc- ture, the instructions with respect to the cutter's position and orientation can be directly carried out in the CNC system.
Time-varying non-stationary channels, with complex dynamic variations and temporal evolution characteristics, have significant challenges in channel modeling and communication system performance evaluation. Most exist...
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Decentralized peer to peer (p2p) networks like Gnutella are attractive for certain applications because they require no centralized directories and no precise control over network topology or data placement. The great...
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Using first-principles calculations, we studied how the physical configuration of chalcogen vacancies impact the initial step of surface oxidation of two-dimensional transition metal dichalcogenides (TMDs) where the O...
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Using first-principles calculations, we studied how the physical configuration of chalcogen vacancies impact the initial step of surface oxidation of two-dimensional transition metal dichalcogenides (TMDs) where the O2 molecule is adsorbed and dissociated into two O atoms. The effects of surface defects on oxidation are studied by calculating the adsorption energies of the O2 molecule and O atoms on the surface as a function of defect size. We showed that the adsorption of O2 on the surface with one or more chalcogen vacancies is thermodynamically more favorable compared to the pristine surface. Furthermore, the stability of adsorption of two O atoms increases with the number of chalcogen vacancies. The calculated projected density of states indicates that the dangling bond (in-gap) states created by the chalcogen vacancies are passivated by the adsorption of O atoms. Oxygen adsorption kinetics calculation shows that there exists a significant energy barrier of about 1 eV for the dissociation of O2 on a surface with only single chalcogen vacancy, whereas a substantially reduced barrier is observed for a surface with two or more vacancies. Our findings suggest that even though vacancy-free two-dimensional (2D) TMDs might not be practically available, the 2D TMD crystals with mainly single chalcogen vacancy defects should be resistant against oxidation and thus provide critical guidance to researchers regarding optimizing the density and clustering of chalcogen vacancies during the crystal growth.
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