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Your search keyword '"Guo, Huiyi"' showing total 98 results
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98 results on '"Guo, Huiyi"'

1. Learning by Consuming: Optimal Pricing with Endogenous Information Provision

Author

Guo, Huiyi, He, Wei, and Liu, Bin

Subjects
Economics - Theoretical Economics
Abstract

We study the revenue-maximizing mechanism when a buyer's value evolves endogenously because of learning-by-consuming. A seller sells one unit of a divisible good, while the buyer relies on his private, rough valuation to choose his first-stage consumption level. Consuming more leads to a more precise valuation estimate, after which the buyer determines the second-stage consumption level. The optimum is a menu of try-and-decide contracts, consisting of a first-stage price-quantity pair and a second-stage per-unit price for the remaining quantity. In equilibrium, a higher first-stage valuation buyer pays more for higher first-stage consumption and enjoys a lower second-stage per-unit price. Methodologically, we deal with the difficulty that due to the failure of single-crossing condition, monotonicity in allocation plus the envelope condition is insufficient for incentive compatibility. Our results help to understand contracts about sequential consumption with the learning feature; e.g., leasing contracts for experience goods and trial sessions for certain courses., Comment: 44 pages

Published
2022

2. Simultaneous generation of first- to fourth-order OAM modes based on a cascaded preset-twist long-period fiber grating

Author

Chang Wenzhe, Liu Yan-ge, Shi Zekun, Guo Huiyi, Wang Xin, Wang Pan, and Wang Zhi

Subjects
orbital angular momentum mode, long-period fiber grating, mode converter, Physics, QC1-999
Abstract

We propose and demonstrate the simulation and fabrication of an all-fiber orbital angular momentum (OAM) mode converter capable of generating first- to fourth-order modes simultaneously, which is realized by inscribing a cascaded preset-twist long-period fiber grating (CPT-LPFG) in a six-mode fiber utilizing a CO2 laser. A new segmented Runge–Kutta method is proposed to simulate the preset-twist long-period fiber gratings. By calculating the twist angle and relative coupling coefficient for each pitch and then solving the coupled mode equations utilizing the Runge–Kutta algorithm. The simulation illustrates that the preset-twist method significantly improves the coupling coefficient of higher-order modes, thereby reducing coupling difficulty. In the experiment, by twisting the fiber at an angle of 1080° and fabricating cascaded gratings with periods of 745 μm, 310 μm, 204 μm, and 146 μm, it is feasible to generate first- to fourth-order OAM modes simultaneously, at wavelengths of 1635 nm, 1548 nm, 1460 nm, and 1334 nm, respectively. The insertion loss is less than 1 dB, and the mode purity is over 90 %. To the best of our knowledge, this is the first time that first- to fourth-order OAM modes are simultaneously generated utilizing a single long-period fiber grating.

Published
2024
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10. Singularities splitting phenomenon for the superposition of hybrid orders structured lights and the corresponding interference discrimination method

Author

Mao Baiwei, Liu Yange, Chang Wenzhe, Chen Liang, Feng Mao, Guo Huiyi, He Jiangyong, and Wang Zhi

Subjects
few-mode fibers, singularity, vortex array, vortex light, Physics, QC1-999
Abstract

It is the basic characteristic of pure vortex light that there is a phase singularity at the origin. Such a singularity may be multiple degenerate, which determines the order of vortex light. Singularities splitting phenomenon means that singularities no longer concentrate at the origin but distribute around the space, usually occurring in impure vortex light. In this paper, we demonstrate the singularities splitting phenomenon and propose an analysis method, based on which one may rapidly estimate the modal components of impure vortex light. As two common singularity discrimination methods, the spiral and fork wire interference patterns are compared in distinguishing splitting singularities. The most widely used spiral interference pattern is revealed to be the worst form because of the low resolution. Instead, the fork wire interference pattern is with higher and easily adjusted resolution. 1‰ impurity is still able to be distinguished through fork wire interference patterns in the experiment.

Published
2022
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13. Wavelength Insensitive Mode Selective Coupler Based on Ultra-Wideband Resonant Effect

Author

Guo, Huiyi, Liu, Yan-Ge, Chen, Liang, Wang, Xin, Zhang, Ziyang, and Wang, Zhi

Abstract

We report on an ultra-wideband resonance effect between LP01 mode and LP21 mode in a fused-biconical taper mode selective coupler. The dispersion characteristics of the LP01 and LP21 modes are changed by tapered fibers, and achieved resonance over a large range of over 1000 nm. Based on this effect, we designed and manufactured a super wide-band fused biconical LP21 mode selective coupler, which covers the S+C+L band with an insertion loss flatness of better than 0.17 dB and a minimum insertion loss of 0.16 dB. A broadband and flat mode converter facilitates cost-effective integration of wavelength division multiplexing systems and space division multiplexing systems.

Published
2024
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14. A New Porosity Evaluation Method Based on a Statistical Methodology for Granular Material: A Case Study in Construction Sand.

Author

Wang, Binghui, Xin, Shuanglong, Jin, Dandan, Zhang, Lei, Wu, Jianjun, and Guo, Huiyi

Subjects
DIGITAL image processing, GRANULAR materials, DIGITAL images, K-means clustering, SOIL particles
Abstract

Sand porosity is an important compactness parameter that influences the mechanical properties of sand. In order to evaluate the temporal variation in sand porosity, a new method of sand porosity evaluation based on the statistics of target sand particles (which refers to particles within a specific particle size range) is presented. The relationship between sand porosity and the number of target sand particles at the soil surface considering observation depth is derived theoretically, and it is concluded that there is an inverse relationship between the two. Digital image processing and the k-means clustering method were used to distinguish particles in digital images where particles may mask each other, and a criterion for determining the number of particles was proposed, that is, the criterion of min(Dao). The execution process was implemented by self-written codes using Python (2021.3). An experiment on a simple case of Go pieces and sand samples of different porosities was conducted. The results show that the sum of the squared error (SSE) in the k-means method can converge with a small number of iterations. Furthermore, there is a minimum value between the parameter Dao and the set value of a single-particle pixel, and the pixel corresponding to this value is a reasonable value of a single-particle pixel, that is, the min(Dao) criterion is proposed. The k-means method combined with the min(Dao) criterion can analyze the number of particles in different particle size ranges with occlusion between particles. The test results of sand samples with different densities show that the method is reasonable. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Optical Machine Learning Using Time-Lens Deep Neural NetWorks

Author

Zhang, Luhe, primary, Li, Caiyun, additional, He, Jiangyong, additional, Liu, Yange, additional, Zhao, Jian, additional, Guo, Huiyi, additional, Zhu, Longfei, additional, Zhou, Mengjie, additional, Zhu, Kaiyan, additional, Liu, Congcong, additional, and Wang, Zhi, additional

Published
2021
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