The Experts below are selected from a list of 62697 Experts worldwide ranked by ideXlab platform
Jia Jin - One of the best experts on this subject based on the ideXlab platform.
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They all do it, will you? Event-related potential evidence of herding behavior in online peer-to-peer lending
Neuroscience letters, 2018Co-Authors: Menghan Dan, Jia JinAbstract:As herding is a typical characteristic of human behavior, many researchers have found the existence of herding behavior in online peer-to-peer lending through empirical surveys. However, the underlying neural basis of this phenomenon is still unclear. In the current study, we studied the neural activities of herding at Decision-Making Stage and feedback Stage using event-related potentials (ERPs). Our results showed that at Decision-Making Stage, larger error related negativity (ERN) amplitude was induced under low-proportion conditions than that of high-proportion conditions. Meanwhile, during feedback Stage, negative feedback elicited larger feedback related negativity (FRN) amplitude than that of positive feedback under low-proportion conditions, however, there was no significant FRN difference under high-proportion conditions. The current study suggests that herding behavior in online peer-to-peer lending is related to individual's risk perception and is possible to avoid negative emotions brought by failed investments.
David V. Plant - One of the best experts on this subject based on the ideXlab platform.
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Experimental Study of a novel adaptive Decision-directed channel equalizer in 28 GBaud RGI-DP-CO-OFDM transport systems
Optics Express, 2012Co-Authors: Mohammad E. Mousa-pasandi, Xian Xu, Qunbi Zhuge, Mohamed Osman, Mathieu Chagnon, David V. PlantAbstract:We report and experimentally investigate the performance of an adaptive Decision-directed channel equalizer (ADDCE) in reduced-guard-interval dual-polarization coherent-optical orthogonal-frequency-division-multiplexing (RGI-DP-CO-OFDM) transport systems. ADDCE retrieves an estimation of the phase noise value after an initial Decision Making Stage by extracting and averaging the phase drift of all OFDM sub-channels. Moreover, it updates the channel transfer matrix on a symbol-by-symbol basis. We experimentally compare the performance of the ADDCE and the conventional equalizer (CE) combined with maximum-likelihood (ML) phase noise compensation and inter-subcarrier-frequency-averaging (ISFA) algorithms. The study is conducted at 28 GBaud for RGI-DP-CO-OFDM systems with quadrature-phase-shift-keying (QPSK) and 16 quadrature amplitude modulation (16-QAM) formats. Using ADDCE, zero-overhead laser phase noise compensation is accomplished and the overhead due to training symbol (TSs) insertion is significantly reduced. In addition, ADDCE offers a superior performance over the CE in the presence of synchronization timing errors and residual chromatic dispersion (CD). We also achieve a longer transmission distance than when using the CE. At a forward-error-correction (FEC) threshold of 3.8 × 10−3, using a cumulative overhead of less than 2.6%, transmission distances of 5500 km and 400 km were achieved for the cases of QPSK and 16-QAM RGI-DP-CO-OFDM, respectively.
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Zero-overhead phase noise compensation via Decision-directed phase equalizer for coherent optical OFDM.
Optics express, 2010Co-Authors: Mohammad E. Mousa-pasandi, David V. PlantAbstract:We report and investigate the feasibility of zero-overhead laser phase noise compensation (PNC) for long-haul coherent optical orthogonal frequency division multiplexing (CO-OFDM) transmission systems, using the Decision-directed phase equalizer (DDPE). DDPE updates the equalization parameters on a symbol-by-symbol basis after an initial Decision Making Stage and retrieves an estimation of the phase noise value by extracting and averaging the phase drift of all OFDM sub-channels. Subsequently, a second equalization is performed by using the estimated phase noise value which is followed by a final Decision Making Stage. We numerically compare the performance of DDPE and the CO-OFDM conventional equalizer (CE) for different laser linewidth values after transmission over 2000 km of uncompensated single-mode fiber (SMF) at 40 Gb/s and investigate the effect of fiber nonlinearity and amplified spontaneous emission (ASE) noise on the received signal quality. Furthermore, we analytically analyze the complexity of DDPE versus CE in terms of the number of required complex multiplications per bit.
Zhen Jin - One of the best experts on this subject based on the ideXlab platform.
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Modeling and Analysis of New Products Diffusion on Heterogeneous Networks
Journal of Applied Mathematics, 2014Co-Authors: Zhen JinAbstract:We present a heterogeneous networks model with the awareness Stage and the Decision-Making Stage to explain the process of new products diffusion. If mass media is neglected in the Decision-Making Stage, there is a threshold whether the innovation diffusion is successful or not, or else it is proved that the network model has at least one positive equilibrium. For networks with the power-law degree distribution, numerical simulations confirm analytical results, and also at the same time, by numerical analysis of the influence of the network structure and persuasive advertisements on the density of adopters, we give two different products propagation strategies for two classes of nodes in scale-free networks.
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Global Dynamics Analysis of Homogeneous New Products Diffusion Model
Discrete Dynamics in Nature and Society, 2013Co-Authors: Zhen JinAbstract:A mathematical model with Stage structures is presented that incorporates the awareness Stage and the Decision-Making Stage; individuals exchange product information by two channels: mass media and interpersonal communication. When the persuasive advertisement is neglected in the Decision-Making Stage, we find a threshold value about whether new products diffusion is successful or not. When the persuasive advertisement is considered, there must exist a positive equilibrium under some parameter condition; moreover, it must be globally asymptotically stable as long as it exists. Results show that the persuasive advertisement in the Decision-Making Stage does not influence new products' successful diffusion, but the critical value that new products diffuse successfully decreases when the persuasive advertisement is considered. Some numerical simulations confirm our theoretical analysis and demonstrate the influence of parameters on the system. Corresponding to the analysis results, some diffusion strategies are provided.
Menghan Dan - One of the best experts on this subject based on the ideXlab platform.
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They all do it, will you? Event-related potential evidence of herding behavior in online peer-to-peer lending
Neuroscience letters, 2018Co-Authors: Menghan Dan, Jia JinAbstract:As herding is a typical characteristic of human behavior, many researchers have found the existence of herding behavior in online peer-to-peer lending through empirical surveys. However, the underlying neural basis of this phenomenon is still unclear. In the current study, we studied the neural activities of herding at Decision-Making Stage and feedback Stage using event-related potentials (ERPs). Our results showed that at Decision-Making Stage, larger error related negativity (ERN) amplitude was induced under low-proportion conditions than that of high-proportion conditions. Meanwhile, during feedback Stage, negative feedback elicited larger feedback related negativity (FRN) amplitude than that of positive feedback under low-proportion conditions, however, there was no significant FRN difference under high-proportion conditions. The current study suggests that herding behavior in online peer-to-peer lending is related to individual's risk perception and is possible to avoid negative emotions brought by failed investments.
Mohammad E. Mousa-pasandi - One of the best experts on this subject based on the ideXlab platform.
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Experimental Study of a novel adaptive Decision-directed channel equalizer in 28 GBaud RGI-DP-CO-OFDM transport systems
Optics Express, 2012Co-Authors: Mohammad E. Mousa-pasandi, Xian Xu, Qunbi Zhuge, Mohamed Osman, Mathieu Chagnon, David V. PlantAbstract:We report and experimentally investigate the performance of an adaptive Decision-directed channel equalizer (ADDCE) in reduced-guard-interval dual-polarization coherent-optical orthogonal-frequency-division-multiplexing (RGI-DP-CO-OFDM) transport systems. ADDCE retrieves an estimation of the phase noise value after an initial Decision Making Stage by extracting and averaging the phase drift of all OFDM sub-channels. Moreover, it updates the channel transfer matrix on a symbol-by-symbol basis. We experimentally compare the performance of the ADDCE and the conventional equalizer (CE) combined with maximum-likelihood (ML) phase noise compensation and inter-subcarrier-frequency-averaging (ISFA) algorithms. The study is conducted at 28 GBaud for RGI-DP-CO-OFDM systems with quadrature-phase-shift-keying (QPSK) and 16 quadrature amplitude modulation (16-QAM) formats. Using ADDCE, zero-overhead laser phase noise compensation is accomplished and the overhead due to training symbol (TSs) insertion is significantly reduced. In addition, ADDCE offers a superior performance over the CE in the presence of synchronization timing errors and residual chromatic dispersion (CD). We also achieve a longer transmission distance than when using the CE. At a forward-error-correction (FEC) threshold of 3.8 × 10−3, using a cumulative overhead of less than 2.6%, transmission distances of 5500 km and 400 km were achieved for the cases of QPSK and 16-QAM RGI-DP-CO-OFDM, respectively.
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Zero-overhead phase noise compensation via Decision-directed phase equalizer for coherent optical OFDM.
Optics express, 2010Co-Authors: Mohammad E. Mousa-pasandi, David V. PlantAbstract:We report and investigate the feasibility of zero-overhead laser phase noise compensation (PNC) for long-haul coherent optical orthogonal frequency division multiplexing (CO-OFDM) transmission systems, using the Decision-directed phase equalizer (DDPE). DDPE updates the equalization parameters on a symbol-by-symbol basis after an initial Decision Making Stage and retrieves an estimation of the phase noise value by extracting and averaging the phase drift of all OFDM sub-channels. Subsequently, a second equalization is performed by using the estimated phase noise value which is followed by a final Decision Making Stage. We numerically compare the performance of DDPE and the CO-OFDM conventional equalizer (CE) for different laser linewidth values after transmission over 2000 km of uncompensated single-mode fiber (SMF) at 40 Gb/s and investigate the effect of fiber nonlinearity and amplified spontaneous emission (ASE) noise on the received signal quality. Furthermore, we analytically analyze the complexity of DDPE versus CE in terms of the number of required complex multiplications per bit.
