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Performance assessment of octagonal layout based integrated photonic reservoir computing for optical channel equalization

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Optics Express 2025年第7期33卷 15814-15826页

作者： Zuo, Xiaoyan Pei, Li Bai, Bing Bai, Bowen Hu, Zhouyi Wang, Jianshuai Qu, Qi Dong, Fei Institute of Lightwave Technology Beijing Jiaotong University Ministry of Education Key Laboratory of All-Optical Networks and Modern Communication Networks Beijing100044 China Technology Co. Ltd. China State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Beijing Aerospace Institute for Metrology and Measurement Technology Beijing100076 China

Compared to electronic equalizers, the equalizers based on integrated photonic reservoir computing exhibit the advantages of large bandwidth, short latency, and low power consumption. The existing rectangular reservoir layout employs internal nodes as input and output nodes, leading to inadequate signal exchange and extra noise due to waveguide crossing. We proposed an optical channel equalizer based on an octagonal reservoir layout and verified its equalization ability. The system-level simulation of the proposed layout is conducted to investigate the impact of layout shape, node quantity, input and output port number, and weight algorithm on channel equalization performance in a 25Gbaud 4-level pulse amplitude modulation optical communication system. Results indicate that, within a transmission distance of 5-30 km, the bit error rate (BER) of the equalized signal in the proposed octagonal layout is lower than that of a rectangular layout with the same number of nodes. Specifically, at 5 km, the octagonal layout’s BER is 5 and 10 orders of magnitude lower than the rectangular layout and the feedforward equalizer, respectively. Meanwhile, the best readout algorithm, K-nearest neighbor regression, achieves an equalized BER of 7.012 × 10−14 © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Pulse amplitude modulation

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Investigating Black-Box Model for Wind Power Forecasting Using Local Interpretable Model-Agnostic Explanations Algorithm

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CSEE Journal of Power and Energy Systems 2025年第1期11卷 227-242页

作者： Mao Yang Chuanyu Xu Yuying Bai Miaomiao Ma Xin Su Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Daqing Power Industry Bureau Daqing 163000China

Wind power forecasting(WPF)is important for safe,stable,and reliable integration of new energy technologies into power *** learning(ML)algorithms have recently attracted increasing attention in the field of ***,opaque decisions and lack of trustworthiness of black-box models for WPF could cause scheduling *** study develops a method for identifying risky models in practical applications and avoiding the ***,a local interpretable model-agnostic explanations algorithm is introduced and improved for WPF model *** that basis,a novel index is presented to quantify the level at which neural networks or other black-box models can trust features involved in ***,by revealing the operational mechanism for local samples,human interpretability of the black-box model is examined under different accuracies,time horizons,and *** interpretability provides a basis for several technical routes for WPF from the viewpoint of the forecasting ***,further improvements in accuracy of WPF are explored by evaluating possibilities of using interpretable ML models that use multi-horizons global trust modeling and multi-seasons interpretable feature selection *** results from a wind farm in China show that error can be robustly reduced.

关键词： Black-box model correlation analysis feature trust index local interpretability local interpretable modelagnostic explanations(LIME) wind power forecasting

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High-Sensitivity and External RI-Independent Mode-Selective Michelson Interferometer Using a Single-Ended Helical Graded-Index Fiber

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Journal of Lightwave technology 2025年第11期43卷 5336-5344页

作者： Zhu, Chengliang Meng, Xinyue Shi, Mengshuo Cheng, Tonglei Zhao, Yong Northeastern University College of Information Science and Engineering Shenyang110004 China Northeastern University School of Control Engineering Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China State Key Laboratory of Synthetical Automation for Process Industries Shenyang China Northeastern University School of Control Engineering Qinhuangdao066004 China

We have theoretically and experimentally proposed and demonstrated an all-in-fiber-core mode-selective Michelson interferometer (MS-MI) sensor utilizing a single-ended helical graded-index few-mode fiber (SE-HGIFMF). The SE-HGIFMF effectively eliminates multi-mode interference, remains insensitive to external refractive index (RI) variations, and significantly enhances sensing sensitivity due to the minimal disparity in group RI between the two guided core modes. We investigated the torsion, strain, and temperature characteristics of the sensor, achieving sensitivities of 1.785 nm/(rad/m) for directional torsion, 0.0316 nm/μϵ for strain, and 0.624 nm/°C for temperature. These sensitivities are competitive within the fiber optic sensor family and represent the highest values reported for mode-selective MI and Mach-Zehnder interferometer (MZI) sensors to our knowledge. The proposed sensor not only demonstrates exceptional sensitivity but also offers directionality identification for torsion, ease of use, flexible installation, low loss, and high reliability, showcasing robustness against environmental fluctuations. © 1983-2012 IEEE.

关键词： Michelson interferometers

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B+-Tree-Quantization-Based Shared Secret key Extraction Scheme From Atmospheric Optical Wireless Channel

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IEEE Transactions on Communications 2025年第5期73卷 3394-3408页

作者： Pan, Gang Chen, Chunyi Changchun University of Science and Technology School of Computer Science and Technology Changchun130022 China Changchun University of Science and Technology School of Computer Science and Technology Key Laboratory of Photoelectric Measurement & Control and Optical Information Transfer Technology Changchun130022 China Chongqing Research Institute Changchun University of Science and Technology Chongqing401135 China

To reduce key disagreement rate and increase key generation rate, this paper proposes a lightweight and robust shared secret key extraction scheme from atmospheric optical wireless channel. A conception of grouping samples by using B+ tree and quantizing groups is introduced to improve the balance of distribution of channel measurement values in quantization intervals. Based on the conception, a basic B+ tree quantization algorithm (B-BPTQ) and a compensation-technology-based B+ tree quantization algorithm (C-BPTQ) are designed. A LDPC-based multi-scale information reconciliation algorithm (LDPC-MSIR) is put forward to simplify information reconciliation and reduce its computation complexity. An enhanced randomness post-processing algorithm is formulated to increase statistical randomness of initial key sequence. Finally, the performance of the proposed scheme is validated by numerical simulations and field experiments. The experimental results show that it has better performance in terms of key disagreement rate, key generation rate and key randomness compared with other schemes. © 1972-2012 IEEE.

关键词： Optical communication

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Investigation on machining mechanism and surface integrity of Sip/Al composites with ultrasonic vibration-assisted epoxy coating cutting

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Journal of Manufacturing Processes 2025年 146卷 427-444页

作者： Chen, Dachuan Zheng, Zhengding Ding, Jixiang Zhang, Jianguo Chen, Xiao Xiao, Junfeng Xu, Jianfeng State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan430081 China Key Laboratory of Modern Manufacturing Quality Engineering in Hubei Province Hubei University of Technology Wuhan430068 China

Due to the significant mechanical differences between the plastic Al matrix and the brittle Si particles, the ultra-precision machining of Sip/Al composites is considered a major challenge. To overcome this challenge, this paper proposes a new cutting strategy, namely ultrasonic vibration-assisted epoxy coating cutting (UV-ECC). By analyzing the groove morphology, cutting force, chip morphology, residual stress, and surface roughness, the effect of UV-ECC on the machining mechanism and surface integrity of Sip/Al composites is investigated. Research results indicate that epoxy coating can provide compressive stress to the surface of Sip/Al composites, thereby suppressing the formation and propagation of cracks as well as the pull-out or rotation of particles. After the introduction of ultrasonic vibration, the vibrating tool can compensate for the shortcomings of the epoxy coating in terms of chip removal. Furthermore, the intermittent separation reduces the damage to both the Sip/Al composites and the epoxy coating. Finally, the space gap created by the elliptical trajectory allows the crack suppression effect of the epoxy coating to be seen as a significant improvement. Overall, compared to traditional cutting and epoxy coating cutting, UV-ECC offers significant advantages in enhancing surface integrity, reducing specific cutting force, and achieving a uniform residual stress distribution. Among them, the surface roughness decreased by 75.4 % and 59.0 %, respectively, and the specific cutting force decreased by 75.01 % and 64.89 %, respectively. The current research provides a promising cutting strategy for achieving efficient and low-damage machining of Sip/Al composites. © 2025 The Society of Manufacturing Engineers

关键词： Ultrasonic cutting

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Density characterization of hydrogen-blended natural gas system by a single-sinker densimeter for future hydrogen economy

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International Journal of Hydrogen Energy 2025年 135卷 507-514页

作者： Lin, Qingjin Zhang, Pu Zhou, Li Zhang, Peiying Sheng, Bowen Gong, Maoqiong Research Institute of Natural Gas Technology PetroChina Southwest Oil & Gasfield Company Sichuan Chengdu610213 China Key Laboratory of Natural Gas Quality Control and Energy Measurement State Administration for Market Regulation Sichuan Chengdu610213 China Key Laboratory of Natural Gas Quality Control and Energy Measurement CNPC Sichuan Chengdu610213 China State Key Laboratory of Cryogenic Science and Technology Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing100190 China

Hydrogen-blended natural gas (HNG) has emerged as a promising energy carrier for hydrogen transportation and carbon emission reduction. Precise determination of thermophysical properties in HNG mixtures is critical for optimizing the design of storage infrastructure, pipeline networks, and end-use applications. This work investigated the density of Chinese natural gas blended with hydrogen (3–20 %) using a single-sinker densimeter across temperatures (253.15 K–350.15 K), with pressures up to 10 MPa. Experimental results have been compared with predictions from three equations of state (EoSs), including GERG-2008, AGA8-DC92, and PR. The GERG-2008 and AGA8-DC92 EoSs remained better than 0.10 % and 0.11 % of average absolute relative deviation (AARD), respectively, and the AARD of PR EoS exceeds 2.13 %. It demonstrated superior accuracy of GERG-2008 and AGA8-DC92 EoSs for the hydrogen-blended natural gas mixture with 3–20 % H2 compared to the PR EoS. However, GERG-2008 EoS exhibited a relative deviation of 0.16 % at 3 MPa. Pressure dependence analysis revealed no similar trend in relative deviations for all mixtures as increasing pressure. Blending hydrogen resulted in a larger discreteness of the relative deviation at different temperatures between the calculated values from the GERG-2008 and AGA8-DC92 EoSs and the experimental ones. Thus, the mixing rule model in the equations of state may be improved while applied to hydrogen-blended natural gas mixtures. © 2025 Hydrogen Energy Publications LLC

关键词： Natural gas transportation

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Terahertz time-of-flight tomography algorithm for different curvature samples

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Optics Express 2025年第7期33卷 15095-15109页

作者： Zhou, Yu Li, Quanyong Cui, Zongyu Zhang, Jiyang Ren, Jiaojiao Zhang, Dandan Gu, Jian Li, Haoxiang Lin, Zihao Key Laboratory of Optoelectronic Measurement and Control and Optical Information Transmission Technology Ministry of Education Changchun University of Science and Technology Changchun130022 China School of Optoelectronic Engineering Changchun University of Science and Technology Changchun130022 China Zhongshan Research Institute Changchun University of Science and Technology Zhongshan528403 China

Traditional guide rail-based terahertz reflection tomography works well with planar samples and complements transmission tomography. Most imaging methods perform effectively with plane-like or simple curvature samples. However, these methods are ineffective for complex shapes due to the challenges of dealing with internal corrections and stitching errors. To address the above issues, terahertz time-of-flight tomography is applied to the prepared samples with abnormal curvature using a rotating scanning array and "point cloud splicing" method. This approach enables comprehensive sample information collection and resolves the inner layer point cloud position correction challenge. A radial distance point cloud down-sampling method is proposed to reduce the impact of overlapping point clouds on reconstruction accuracy. After down-sampling, the outer layer reconstruction error reduces to 0.22%. Poisson surface reconstruction further enhances the intuitiveness of imaging results, and the reconstruction accuracy is 0.01 mm. This study broadens the application of terahertz time-of-flight tomography and offers a different approach for reflection tomography. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Surface reconstruction

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Data-Driven Prediction of Coefficient of Friction in Wet Friction Components: A Model Development and Interpretability Analysis

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Journal of Tribology 2025年第7期147卷 074601页

作者： Wu, Jianpeng Zhao, Peng Cui, Jiahao Wang, Liyong Yang, Chengbing Ouyang, Jianping Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University 12 Xiaoying East Road Haidian District Beijing100192 China School of Mechanical and Engineering University of Science and Technology Beijing 30 Xueyuan Road Haidian District Beijing100083 China Mechanical Electrical Engineering School Beijing Information Science and Technology University 12 Xiaoying East Road Haidian District Beijing100192 China

Predicting the coefficient of friction (COF) is essential for enhancing the efficiency and reliability of mechanical systems. Nevertheless, traditional mechanistic models relying on fixed values or fitted curves fail to accurately capture this complexity. To address this issue, this paper proposes a model for predicting the COF of wet friction components using an extreme gradient boosting (XGBoost) algorithm optimized by the sparrow search algorithm (SSA). This model effectively captures the nonlinear relationships among relative speed, pressure, temperature, and COF. As a result, the proposed SSA-XGBoost model exhibits excellent predictive performance with a root mean square error (RMSE) of only 0.063, and 88.3% of the COF predictions have a relative error of less than 1%, significantly outperforming other deep-learning algorithms. Additionally, to enhance the understanding of the COF prediction results for wet friction components, the SHapley Additive exPlanations (SHAP) model is used to explore the influence of relative speed, pressure, and temperature on the predicted COF values. Copyright © 2024 by ASME.

关键词： Deep learning

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Green anti-solvent modulation of the growth of binary FAXMA1-X tin-based perovskite and their photovoltaic properties

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The European Physical Journal B 2025年第1期98卷 1-11页

作者： Deng, Longtao He, Linfeng Chen, Xinyao Cheng, Jin Zhang, Chunqian Li, Zhenjun Li, Junming Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Beijing Key Laboratory for Sensor School of Science Beijing Information Science and Technology University Beijing China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing China CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Key Laboratory of Nanophotonic Materials and Devices (Preparatory) National Center for Nanoscience and Technology Beijing China

Tin-based perovskite represents a highly promising alternative to lead-based perovskite, offering a number of significant advantages. These include non-toxicity, high absorbance, and excellent photovoltaic properties. The use of the toxic anti-solvent chlorobenzene (CBZ) in the preparation of tin-based perovskite thin films has the dual disadvantage of increasing the environmental hazards and the cost of subsequent treatment. The use of acetic acid (HAc) as a green anti-solvent has been demonstrated to effectively regulate the crystallization process of tin-based perovskite FASnI3, resulting in the preparation of perovskite films of superior quality. To further enhance the performance of tin-based perovskite, Zhao et al., organic cation mixing was used to add MAI to the FASnI3 system and optimize the ratio, resulting in an optimal ratio of FA (0.75) MA (0.25) (FA = NH2CH = NH2+, MA = CH3NH3+) (Zhao et al. Adv Sci 4(11):1700204, 2024). In this study, we choose the crystallization process during the preparation of binary FA0.75MA0.25SnI3 perovskite using a green anti-solvent HAc. The findings demonstrated that HAc was capable of influencing the crystallization of binary tin-based perovskite, facilitating the formation of perovskite films with minimal pinholes and enhanced uniformity and crystallinity. Additionally, the resulting perovskite exhibits a band gap of 1.35 eV, which is in close alignment with the predicted ideal band gap as postulated by Schottky's theory. Furthermore, it displays enhanced hydrophobic properties. In the binary perovskite photovoltaic device prepared using the anti-solvent HAc, the maximum device efficiency reached 3.62%. The findings of this study will contribute to the understanding of the crystallization process of diverse perovskite materials in the presence of a green anti-solvent.

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Curve-Suppression-Based Event-Triggered Mechanisms for Quasi-Synchronization of Fuzzy Delayed Neural Networks on Time Scales

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3174-3187页

作者： Wan, Peng Zhou, Yufeng Zeng, Zhigang Lai, Jingang Wuhan University of Science and Technology School of Artificial Intelligence and Automation Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan430081 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent control of Education Ministry of China Wuhan430074 China

The vast majority of published event-triggered mechanisms (ETMs) are constructed based on measurement errors, which introduces a problem naturally that they are updated when the measurement errors exceed the thresholds although the current obtained sampling states can make systems converge well. With this problem in mind, we redesign ETMs for quasi-synchronization of T-S fuzzy neural networks (FNNs) with time delays on time scales. First, a novel ETM is designed for continuous-time FNNs with time-varying delays to achieve quasi-synchronization, with which synchronization errors is suppressed to globally exponentially converge to a ball. Second, we introduce the ETM for continuous-time FNNs to discrete-time FNNs, owing to the existence of discrete-time states, the Lypunov function of synchronization errors run over the exponentially decay curve, but it can be suppressed to evolve under another exponentially decay curve. Third, for FNNs on time scales with constant and time-varying delays, we estimate the forward jump operator of the Lyapunov functions and design ETMs to guarantee that the Lypunov functions evolve under the exponentially decay curves, so quasi-synchronization can be achieved. Last but not least, we prove that Zeno behavior will not happen and four numerical examples are introduced to verify the validity and the superiority of the proposed ETMs in reducing information transmission. © 2013 IEEE.

关键词： Continuous time systems

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