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    <title>CIOMP OpenIR</title>
    <link>https://ir.ciomp.ac.cn:443</link>
    <description>中国科学院长春光学精密机械与物理研究所</description>
    <pubDate>Tue, 08 Sep 2026 16:03:12 GMT</pubDate>
    <dc:date>2026-09-08T16:03:12Z</dc:date>
    <item>
      <title>Advancements in ultrafast photonics: confluence of nonlinear optics and intelligent strategies ( vol 14 , 97 , 2025)</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71168</link>
      <description>Title: Advancements in ultrafast photonics: confluence of nonlinear optics and intelligent strategies ( vol 14 , 97 , 2025)
Authors: Q. Wu, L. X. Peng, Z. H. Huang, X. L. Liu, M. Luo, D. H. Gao and H. R. Meng</description>
      <pubDate>Thu, 27 Aug 2026 03:54:09 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71168</guid>
      <dc:date>2026-08-27T03:54:09Z</dc:date>
    </item>
    <item>
      <title>A Method of Detecting the Center of Laser Stripe Based on Measurement Accuracy</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71167</link>
      <description>Title: A Method of Detecting the Center of Laser Stripe Based on Measurement Accuracy
Authors: Li, Guan-Nan; Lin, Feng</description>
      <pubDate>Thu, 27 Aug 2026 03:54:08 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71167</guid>
      <dc:date>2026-08-27T03:54:08Z</dc:date>
    </item>
    <item>
      <title>Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71166</link>
      <description>Title: Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach
Authors: Y. C. Wang, M. Wen and H. C. Ma
Description: Phase diversity wavefront sensing (PDWS) is a model-based wavefront estimation technique that avoids additional optical components, making it suitable for resource-constrained environments. However, conventional optimization-based PDWS methods often suffer from high computational costs and sensitivity to initial values. To address these challenges, this paper proposes a hybrid PDWS method that integrates deep learning with nonlinear optimization to improve efficiency and accuracy. The deep learning model provides an initial estimate of wavefront aberrations, which is further refined by the L-BFGS optimization algorithm to achieve high-precision reconstruction. Simulation and experimental results indicate that the proposed method achieves an RMS wavefront error below 0.05 lambda within [-0.5 lambda, 0.5 lambda] and exhibits a certain level of generalization up to [-0.7 lambda, 0.7 lambda]. Compared with conventional PDWS approaches, the proposed method reduces computational time by approximately 89% while maintaining a reliable reconstruction accuracy under moderate aberration conditions. These findings indicate that the hybrid approach achieves a trade-off between computational efficiency and estimation accuracy, suggesting its potential applicability in wavefront sensing tasks.</description>
      <pubDate>Thu, 27 Aug 2026 03:54:07 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71166</guid>
      <dc:date>2026-08-27T03:54:07Z</dc:date>
    </item>
    <item>
      <title>An effective detection algorithm for small UAV based on lightweight You-Only-Look-Once (YOLOv4-L) approach</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71165</link>
      <description>Title: An effective detection algorithm for small UAV based on lightweight You-Only-Look-Once (YOLOv4-L) approach
Authors: G. N. Li, J. H. Cheng, Y. Y. Liu, J. Li, Z. M. Lv and Q. Li
Description: The control and monitoring of small Unmanned Aerial Vehicles (UAV) plays a crucial role in national defense and security. However, due to their compact size and high mobility, the detection of small UAV across diverse scenarios remains a significant challenge. To address this issue, this study proposes an improved detection algorithm tailored for small UAV. The model is initially trained on a virtual dataset, and the learned parameters are transferred to real-world data through a transfer learning framework. To optimize anchor box generation, clustering analysis is performed on bounding box dimensions, resulting in anchor boxes with appropriate scales and aspect ratios. Furthermore, the Ghost module is introduced to replace conventional convolutions in CSPDarknet53, enhancing feature extraction efficiency. An Efficient Channel Attention (ECA) mechanism is also incorporated to strengthen output feature representations and improve the capture of texture details critical for small target detection. Through experiments, the proposed algorithm can achieve the mAP0.5 of 82.2 %. Experimental results demonstrate the effectiveness of the proposed small UAV detection method.</description>
      <pubDate>Thu, 27 Aug 2026 03:54:06 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71165</guid>
      <dc:date>2026-08-27T03:54:06Z</dc:date>
    </item>
    <item>
      <title>Design of direction-independent hydrovoltaic electricity generator based on all-foam asymmetric electrode</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71164</link>
      <description>Title: Design of direction-independent hydrovoltaic electricity generator based on all-foam asymmetric electrode
Authors: Y. H. Zhang, F. Yu, L. Y. Wang, X. J. Yang, Y. Yang, X. S. Li, Y. Gao, Y. Jiang, K. Jiang, W. Lü, X. J. Sun and D. B. Li
Description: To obtain higher open-circuit voltage, metal sheets and carbon electrodes are often used to construct asymmetric electrodes of water evaporation generators. However, the metal sheets hinder water evaporation, limiting device performance. Herein, an all foam-structured asymmetric water evaporation generator independent of water evaporation direction is designed. ZIF-67 has been shown to effectively enhance the surface potential of foamed iron electrodes and provide Co2+ charge carriers for charge transfer. After combining the FI-based cathode with melamine foam and a composite carbon cloth anode to form the FI/ZIF67@CMF-MF-CC@CNTs type device, compared with the metal sheet electrode, the current density is increased by 300% up to 862 mu A/cm2 and the voltage is increased by 50% up to 782 mV. The optimal power density is 101 mu W/cm2. We also demonstrate present device in both energy harvesting and daily electronics, highlighting its potential for scalable energy utility.</description>
      <pubDate>Thu, 27 Aug 2026 03:54:03 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71164</guid>
      <dc:date>2026-08-27T03:54:03Z</dc:date>
    </item>
    <item>
      <title>MIR: A Mirror-Based Intermediate Reflector to Enhance Received Power in Free-Space Optical Communication Systems</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71163</link>
      <description>Title: MIR: A Mirror-Based Intermediate Reflector to Enhance Received Power in Free-Space Optical Communication Systems
Authors: Li, Rui-Peng; Li, Ya-Tian; Gao, Shi-Jie; Geng, Tian-Wen; Yao, Kai-Nan; Yin, Li-Mei</description>
      <pubDate>Thu, 27 Aug 2026 03:54:02 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71163</guid>
      <dc:date>2026-08-27T03:54:02Z</dc:date>
    </item>
    <item>
      <title>Design of dynamic L-type impedance matching network in RF excited fast axial flow CO2 lasers</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71162</link>
      <description>Title: Design of dynamic L-type impedance matching network in RF excited fast axial flow CO2 lasers
Authors: Huang, Pan; Zhao, Chong-Xiao; Dong, Zhu-Jun; Zhao, Zhen; Pan, Qi-Kun; Feng, Yu-Ze; Zhang, Lai-Ming; Guo, Jin</description>
      <pubDate>Thu, 27 Aug 2026 03:53:54 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71162</guid>
      <dc:date>2026-08-27T03:53:54Z</dc:date>
    </item>
    <item>
      <title>Event camera-based human pose estimation via hybrid spiking-point cloud neural architecture</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71161</link>
      <description>Title: Event camera-based human pose estimation via hybrid spiking-point cloud neural architecture
Authors: Tang, Sichao; Lv, Hengyi; Li, Xiangzhi; Zhao, Yuchen; Zhang, Yisa; Feng, Yang</description>
      <pubDate>Thu, 27 Aug 2026 03:53:53 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71161</guid>
      <dc:date>2026-08-27T03:53:53Z</dc:date>
    </item>
    <item>
      <title>A-C-I Fuzzy Logic System Structure-Based Reconfigurable Robot Manipulators Finite-Time Optimal Backstepping Force/Position Control</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71160</link>
      <description>Title: A-C-I Fuzzy Logic System Structure-Based Reconfigurable Robot Manipulators Finite-Time Optimal Backstepping Force/Position Control
Authors: Y. X. Wang, T. J. An, B. Dong, M. C. Zhu and Y. C. Li
Description: To address the force/position control challenges under varying external constraints, this letter proposes an actor-critic-identify (A-C-I) fuzzy logic system (FLS) structure-based reconfigurable robot manipulators (RRM) finite-time optimal backstepping force/position control. Unlike traditional force/position control methods, the proposed controller adopts a backstepping framework to construct performance indices and optimal controllers associated with the exponential form of tracking error dynamics. The FLS is employed in place of conventional neural networks due to its ability to avoid predefined initial weights and support fast convergence. This replacement enhances the identification of system uncertainties, the approximation of performance indices, and the derivation of the finite-time optimal controller. As a result, the strategy ensures rapid state error convergence and control optimality in the presence of external constraints. Lyapunov-based analysis confirms that the closed-loop system achieves semi-global practical finite-time stability (SGPFS), and experimental results demonstrate the effectiveness of the proposed approach.</description>
      <pubDate>Thu, 27 Aug 2026 03:53:51 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71160</guid>
      <dc:date>2026-08-27T03:53:51Z</dc:date>
    </item>
    <item>
      <title>Achieving 500-GHz communication over 1.2 km using an astronomical telescope with a quantum-limited superconducting receiver</title>
      <link>https://ir.ciomp.ac.cn:443/handle/181722/71159</link>
      <description>Title: Achieving 500-GHz communication over 1.2 km using an astronomical telescope with a quantum-limited superconducting receiver
Authors: W. Miao, J. Li, X. J. Deng, J. Q. Zhong, Y. Ren, D. Z. Liu, J. D. Jin, B. G. Ju, Y. X. Miao, Y. He, W. J. Xu, Z. H. Lin, Y. L. Zhang, Q. J. Yao, J. Liu, C. X. Lin, W. Zhang, W. Y. Duan, D. Liu, K. M. Zhou, J. Liu, Z. Wang, J. P. Li, F. Wu, B. L. Liu, J. X. Sun, X. G. Zhang, J. B. Li, H. L. Zhang, L. Guo, K. Han, Z. Y. Lu, H. Q. Hao, Y. C. Dou, Z. C. Wu, J. Quan, Y. J. Liu, M. G. Zhao, W. J. Du, C. G. Shu, R. Q. Mao and S. C. Shi
Description: 500 GHz video transmission over 1.2 km is achieved using an astronomical telescope equipped with a quantum-limited superconducting SIS receiver.</description>
      <pubDate>Thu, 27 Aug 2026 03:53:50 GMT</pubDate>
      <guid isPermaLink="false">https://ir.ciomp.ac.cn:443/handle/181722/71159</guid>
      <dc:date>2026-08-27T03:53:50Z</dc:date>
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