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A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

computer Modeling in engineering & sciences 2025年第1期142卷 209-229页

作者： Jiawei Tian Yu Zhou Xiaobing Chen Salman A.AlQahtani Hongrong Chen Bo Yang Siyu Lu Wenfeng Zheng Department of computer science and engineering Major in Bio Artificial IntelligenceHanyang UniversityAnsan-si15577Republic of Korea School of Electrical and computer engineering Louisiana State UniversityBaton RougeLA 70803USA Department of computer engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11574Saudi Arabia School of Automation University of Electronic Science and Technology of ChinaChengdu610054China

Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical *** study proposes a novel end-to-end disparity estimation model to address these *** approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting *** study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and *** model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video *** results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing ***,the model exhibited faster convergence during training,contributing to overall performance *** study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.

关键词： Parallax estimation parallax regression model self-supervised learning Pseudo-Siamese neural network pyramid dilated convolution binocular disparity estimation

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Manufacture the conducting polymer with light

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science China Chemistry 2025年第1期68卷 8-9页

作者： Yang Li Tianyu Li Yan Ji Baoguang Liu college of electronic and Optical engineering & college of Flexible electronics (Future Technology) Nanjing University of Posts & Telecommunications

Poly(3,4-ethylenedioxythiophene) (PEDOT), heralded as the “king” of conducting polymers, is esteemed in bioelectronics for its mixed electronic and ionic conductivity, mechanical properties compatible with biological tissues, tunable healing ability and stability in diverse environments [1]. Based on additive manufacturing of three-dimensional structures,PEDOT realizes the implementation in the efficient production of flexible bioelectronics, the construction of intricate electrode-neural implantations, and the development of smart brain-computer-interfaces [2].

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All-optical neuromorphic devices: materials, working mechanism,and applications

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science China Chemistry 2025年

作者： Song Wang Hao Chen Hui Huang college of Materials science and Opto-electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics University of Chinese Academy of Sciences college of Chemistry and Molecular engineering Peking University

Traditional von Neumann computing, with physical separation of memory and processing units, cannot satisfy the development of artificial intelligence and cloud computing. Neuromorphic computing, inspired by the human brain, has drawn much ***-optical neuromorphic (AON) devices employ optical signals as information carriers and leverage the neuromorphic functions to implement fast operation speed, low energy consumption, and high bandwidth of neuromorphic computing. Here, we discuss the recent progress in AON devices, including materials, device performance, working mechanisms, and applications. Moreover,the advantages and limitations of AON are presented and discussed. Finally, the perspective of AON devices points out the future research direction of neuromorphic computing.

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Efficient OpenMP Based Z-curve Encoding and Decoding Algorithms

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computers, Materials & Continua 2025年第1期82卷 1313-1327页

作者： Zicheng Zhou Shaowen Sun Teng Liang Mengjuan Li Fengling Xia School of electronic science and engineering University of Electronic Science and Technology of ChinaChengdu611731China Faculty of Information engineering and Automation Kunming University of Science and TechnologyKunming650500China School of Communications Information engineering Yunnan Communications Vocational and Technical CollegeKunming650500China Library Yunnan Normal UniversityKunming650500China Faculty of Civil Aviation and Aeronautics Kunming University of Science and TechnologyKunming650500China

Z-curve’s encoding and decoding algorithms are primely important in many Z-curve-based *** bit interleaving algorithm is the current state-of-the-art algorithm for encoding and decoding *** simple,its efficiency is hindered by the step-by-step coordinate shifting and bitwise *** tackle this problem,we first propose the efficient encoding algorithm LTFe and the corresponding decoding algorithm LTFd,which adopt two optimization methods to boost the algorithm’s efficiency:1)we design efficient lookup tables(LT)that convert encoding and decoding operations into table-lookup operations;2)we design a bit detection mechanism that skips partial order of a coordinate or a Z-value with consecutive 0s in the front,avoiding unnecessary iterative *** propose order-parallel and point-parallel OpenMP-based algorithms to exploit the modern multi-core *** results on discrete,skewed,and real datasets indicate that our point-parallel algorithms can be up to 12.6×faster than the existing algorithms.

关键词： Z-curve lookup table OpenMP bit detection mechanism

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An Efficient Boron Source Activation Strategy for the Low‑Temperature Synthesis of Boron Nitride Nanotubes

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Nano-Micro Letters 2025年第1期17卷 548-558页

作者： Ying Wang Kai Zhang Liping Ding Liyun Wu Songfeng E Qian He Nanyang Wang Hui Zuo Zhengyang Zhou Feng Ding Yue Hu Jin Zhang Yagang Yao National Laboratory of Solid State Microstructures College of Engineering and Applied SciencesJiangsu Key Laboratory of Artificial Functional Materialsand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093People’s Republic of China School of electronic Information and Artificial Intelligence Shaanxi University of Science&TechnologyXian 710000People’s Republic of China college of Bioresources Chemical and Materials engineering Shaanxi University of Science&TechnologyXian 710000People’s Republic of China Key Laboratory of Carbon Materials of Zhejiang Province College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325000People’s Republic of China Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518000People’s Republic of China college of Chemical and Molecular engineering Peking UniversityBeijing 100871People’s Republic of China

Lowering the synthesis temperature of boron nitride nanotubes(BNNTs)is crucial for their *** primary reason for adopting a high temperature is to enable the effective activation of highmelting-point solid *** this study,we developed a novel approach for efficiently activating boron by introducing alkali metal compounds into the conventional MgO–B *** approach can be adopted to form various low-melting-point AM–Mg–B–O growth *** growth systems have improved catalytic capability and reactivity even under low-temperature conditions,facilitating the synthesis of BNNTs at temperatures as low as 850℃.In addition,molecular dynamics simulations based on density functional theory theoretically demonstrate that the systems maintain a liquid state at low temperatures and interact with N atoms to form BN *** findings offer novel insights into the design of boron activation and are expected to facilitate research on the low-temperature synthesis of BNNTs.

关键词： Boron nitride nanotubes Low-temperature Boron activation Density functional theory

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Investigations of liquid-liquid transitions in metallic melts by fast differential scanning calorimetry

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science China(Physics,Mechanics & Astronomy) 2025年

作者： Qi Cheng Yonghao Sun Weihua Wang Beijing National Laboratory for Molecular sciences College of Chemistry and Molecular Engineering Peking University School of Physics and electronic Information Anhui Normal University Institute of Physics Chinese Academy of Sciences Songshan Lake Materials Lab

Liquid-liquid transition in metallic melts is an intriguing phenomenon often confused with liquid-liquid separation, oxidation or precipitation. Here, we employ a state-of-the-art ultrafast chip-based differential scanning calorimeter to investigate the thermal behavior of six metallic melts, ranging from unary to quinary systems, at temperatures above their liquidus. Calorimetric signals of liquid-liquid transition vary across systems: Sn melts showed no direct endothermic or exothermic events, though liquid-liquid transition influenced solidification and melting temperatures, while Yb-Zn melts exhibited an exothermic peak during cooling,indicating liquid-liquid transition. Thermal signals in other systems including Li, Pd-Ni-P, Yb-Mg-Zn-Cu and Au-Ag-Pd-Cu-Si,are primarily driven by compositional changes. Our in-situ analysis provides new insights into the structural and compositional evolution of metallic melts, offering significant implications for the design and processing of novel materials.

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2D SnOx/SnS2的异质结构的忆阻器用于神经形态计算（英文）

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science China Materials 2025年

作者：吴扬武李思凡季云翁正进邢厚英 Lester Arauz Travis Hu 洪金华 Kah-Wee Ang 刘松 State Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical Engineering Hunan University Department of Electrical and computer engineering National University of Singapore Joint International Research Laboratory of Information Display and Visualization School of Electronic Science and Engineering Southeast University Department of Mechanical engineering California State University Los Angeles 5151 State University Dr college of Materials science and engineering Hunan University Shenzhen Research Institute Hunan University

层状金属二硫化物（LMDs）神经形态忆阻器为解决传统冯·诺依曼架构在速度和能效上的限制,提供了一个有前景的替代方案.然而由于环境稳定性,晶体LMDs忆阻器的阻变行为和操作电压仍面临挑战,这阻碍了神经网络硬件的开发.在此,我们通过臭...

层状金属二硫化物（LMDs）神经形态忆阻器为解决传统冯·诺依曼架构在速度和能效上的限制,提供了一个有前景的替代方案.然而由于环境稳定性,晶体LMDs忆阻器的阻变行为和操作电压仍面临挑战,这阻碍了神经网络硬件的开发.在此,我们通过臭氧处理控制氧化制备了SnOx/SnS2阻变层,优化了其阻变操作特性.该忆阻器表现出低的开关电压（～1 V）、快的开关速度（～20 ns）、高的开关比（10～2）,并具备模拟突触权重可塑性的能力.通过截面透射电子显微镜和X射线光谱等手段的分析,探测到了阻变开关层中的缺陷和Ti导电丝,这有助于实现均匀开关并减少操作可变性.此外,SnOx/SnS2忆阻器在MNIST手写识别中实现了90%的准确率,并成功地实现了基于忆阻器的图像卷积,展示了SnOx/SnS2忆阻器在神经形态应用中的潜力.

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Impulsive control of nonlinear systems with time-varying delays

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Chinese Physics B 2008年第7期17卷 2377-2387页

作者：于永斌鲍景富张洪斌钟其水廖晓峰虞厥邦 college of electronic engineering University of Electronic Science and Technology of China college of computer science Chongqing University

A whole impulsive control scheme of nonlinear systems with time-varying delays, which is an extension for impulsive control of nonlinear systems without time delay, is presented in this paper. Utilizing the Lyapunov functions and the impulsive-type comparison principles, we establish a series of different conditions under which impulsively controlled nonlinear systems with time-varying delays are asymptotically stable. Then we estimate upper bounds of impulse interval and time-varying delays for asymptotically stable control. Finally a numerical example is given to illustrate the effectiveness of the method.

关键词： impulsive control time-varying delays impulsive delay systems Lyapunov functions A

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A Geography-Intimacy-Based Algorithm for Data Forwarding in Mobile Social Networks

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Chinese Journal of electronics 2016年第5期25卷 936-942页

作者： ZHENG Yi ZHANG Dafang XIE Kun college of computer science and electronic engineering Hunan University

Due to uncertain network connectivity, efficiently data forwarding in Mobile social networks(MSNs)becomes challenging. To conquer the problem, an Efficient data forwarding scheme based on geography intimacy(GIDF) for MSNs to achieve higher delivery ratio is proposed. In GIDF, we firstly propose an Intimacy based dynamic community detection algorithm(IDCD), which divide the MSNs into several communities. We propose a novel metric geography intimacy which can quantify the node's geographical information and the friendships between nodes. Based on geography intimacy, we further propose a routing algorithm to forward data. Compared with the geography intimacy between nodes, the next hop is found, further find the route of data forwarding by doing the similar operations. Extensive simulations on real data with the ONE simulator show that GIDF is more efficient than the existing algorithms.

关键词： Data forwarding Mobile social networks(MSNs) Geography intimacy Intimacy

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A learning framework based on weighted knowledge transfer for holiday load forecasting

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Journal of Modern Power Systems and Clean Energy 2019年第2期7卷 329-339页

作者： Pan ZENG Chang SHENG Min JIN college of computer science and electronic engineering Hunan University

Since the variation pattern of load during holidays is different than that of non-holidays, forecasting holiday load is a challenging task. With a focus on this problem, we propose a learning framework based on weighted knowledge transfer for daily peak load forecasting during ***,we select source cities which can provide extra hidden knowledge to improve the forecast accuracy of the load of the target city. Then, all the instances which are from source cities and the target city will be weighted and trained by the improved weighted transfer learning algorithm which is based on the TrAdaBoost algorithm and can decrease negative transfer. We evaluate our method with the classical support vector machine method and a method based on knowledge transfer on a real data set, which includes eleven cities in Guangdong province of China,to illustrate the performance of the method. To solve the problem of limited historical holiday load data, we transfer the data from nearby cities based on the fact that nearby cities in Guangdong province of China have a similar economic development level and similar load variation pattern. The results of comparative experiments show that the framework proposed by this paper outperforms these methods in terms of mean absolute percent error and mean absolute scaled error.

关键词： Load forecasting Holiday effect Sparse data Weighted knowledge transfer

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