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Write-Optimized B^(+) Tree Index technology for Persistent Memory

Journal of Computer science & technology 2021年第5期36卷 1037-1050页

作者： Rui-Xiang Ma Fei Wu Bu-Rong Dong Meng Zhang Wei-Jun Li Chang-Sheng Xie Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430070China Key Laboratory of Information Storage System Ministry of Education of ChinaWuhan 430070China Engineering Research Center of Data Storage Systems and Technology Huazhong University of Science and Technology Wuhan 430070China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430070China Shenzhen DAPU Microelectronics Co. LtdShenzhen 518116China

Due to its low latency,byte-addressable,non-volatile,and high density,persistent memory(PM)is expected to be used to design a high-performance storage ***,PM also has disadvantages such as limited endurance,thereby proposing challenges to traditional index technologies such as B(+)tree.B(+)tree is originally designed for dynamic random access memory(DRAM)-based or disk-based systems and has a large write amplification *** high write amplification is detrimental to a PM-based *** paper proposes WO-tree,a write-optimized B(+)tree for ***-tree adopts an unordered write mechanism for the leaf nodes,and the unordered write mechanism can reduce a large number of write operations caused by maintaining the entry order in the leaf *** the leaf node is split,WO-tree performs the cache line flushing operation after all write operations are completed,which can reduce frequent data flushing ***-tree adopts a partial logging mechanism and it only writes the log for the leaf *** inner node recognizes the data inconsistency by the read operation and the data can be recovered using the leaf node information,thereby significantly reducing the logging ***,WO-tree adopts a lock-free search for inner nodes,which reduces the locking overhead for concurrency *** evaluate WO-tree using the Yahoo!Cloud Serving Benchmark(YCSB)*** with traditional B(+)tree,wB-tree,and Fast-Fair,the number of cache line flushes caused by WO-tree insertion operations is reduced by 84.7%,22.2%,and 30.8%,respectively,and the execution time is reduced by 84.3%,27.3%,and 44.7%,respectively.

关键词： persist memory B^(+)tree write amplication consistency YCSB(Yahoo!Cloud Serving Benchmark)

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Interface effect on superlattice quality and optical properties of InAs/GaSb type-Ⅱ superlattices grown by molecular beam epitaxy

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Chinese Physics B 2022年第12期31卷 671-676页

作者： Zhaojun Liu Lian-Qing Zhu Xian-Tong Zheng Yuan Liu Li-Dan Lu Dong-Liang Zhang The School of Opto-Electronic Engineering Changchun University of Science and TechnologyChangchun 130022China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science&Technology UniversityBeijing 100192China

We systematically investigate the influence of InSb interface(IF)engineering on the crystal quality and optical properties of strain-balanced InAs/GaSb type-Ⅱsuperlattices(T2SLs).The type-Ⅱsuperlattice structure is 120 periods InAs(8 ML)/GaSb(6 ML)with different thicknesses of InSb interface grown by molecular beam epitaxy(MBE).The highresolution x-ray diffraction(XRD)curves display sharp satellite peaks,and the narrow full width at half maximum(FWHM)of the 0th is only 30-39 *** high-resolution cross-sectional transmission electron microscopy(HRTEM)characterization,the InSb heterointerfaces and the clear spatial separation between the InAs and GaSb layers can be more intuitively *** the InSb interface thickness increases,the compressive strain increases,and the surface“bright spots”appear to be more apparent from the atomic force microscopy(AFM)***,photoluminescence(PL)measurements verify that,with the increase in the strain,the bandgap of the superlattice *** optimizing the InSb interface,a high-quality crystal with a well-defined surface and interface is obtained with a PL wavelength of 4.78μm,which can be used for mid-wave infrared(MWIR)detection.

关键词： InAs/GaSb type-Ⅱsuperlattice molecular beam epitaxy interface mid-wave infrared

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Novel Balun Structure for Dipole Antenna

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Transactions of Nanjing University of Aeronautics and Astronautics 2017年第5期34卷 561-566页

作者： Jin Kui Zhang Enze Yang Yang He Xiaoxiang Gu Changqing College of Electronic Information Engineering Nanjing University of Aeronautics and Astronautics Ministerial Key Laboratory of JGMT Nanjing University of Science and Technology

A novel balun structure for dipole antenna,which is based on the current distribution on parallel microstrip lines and the emission cancellation characteristic of close equal and opposite currents,is *** principle of the balun structure is first elaborated and ***,a dipole antenna with resonance at 2.45 GHz is constructed using the balun and its radiation pattern is *** simulated and measured reflection coefficients(S_(11))of the antenna are in good agreement 2—3 *** relative bandwidth with an S_(11) of below-10 dB is more than 25%.The antenna also shows a good radiation pattern at 2.45 *** proposed structure can provide a new balun design method for dipole antennas.

关键词： coplanar balun dipole antenna wideband compact balun

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Contrastive Learning Guided Latent Diffusion Model for Image-to-Image Translation

arXiv

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arXiv 2025年

作者： Si, Qi Wang, Bo Zhang, Zhao Zhao, Mingbo Jin, Xiaojie Xu, Mingliang Wang, Meng School of Computer Science and Information Engineering Hefei University of Technology Hefei230601 China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Yunnan Key Laboratory of Software Engineering Yunan China School of Computer Science and Engineering Donghua University Shanghai China ByteDance Culver City United States School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou China

The diffusion model has demonstrated superior performance in synthesizing diverse and high-quality images for text-guided image translation. However, there remains room for improvement in both the formulation of text prompts and the preservation of reference image content. First, variations in target text prompts can significantly influence the quality of the generated images, and it is often challenging for users to craft an optimal prompt that fully captures the content of the input image. Second, while existing models can introduce desired modifications to specific regions of the reference image, they frequently induce unintended alterations in areas that should remain unchanged. To address these challenges, we propose pix2pix-zeroCon, a zero-shot diffusion-based method that eliminates the need for additional training by leveraging patch-wise contrastive loss. Specifically, we automatically determine the editing direction in the text embedding space based on the reference image and target prompts. Furthermore, to ensure precise content and structural preservation in the edited image, we introduce cross-attention guiding loss and patch-wise contrastive loss between the generated and original image embeddings within a pre-trained diffusion model. Notably, our approach requires no additional training and operates directly on a pre-trained text-to-image diffusion model. Extensive experiments demonstrate that our method surpasses existing models in image-to-image translation, achieving enhanced fidelity and controllability. Copyright © 2025, The Authors. All rights reserved.

关键词： Photointerpretation

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Dynamic Optimization System for Dendrobium Officinale Cultivation Based on IoT Edge Computing and Hybrid Digital Twin

Dynamic Optimization System for Dendrobium Officinale Cultiv...

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Consumer Electronics and Computer engineering (ICCECE), 2021 IEEE International Conference on

作者： Ying Li Shuchao He Qi Wang Hui Liu Xin Zhou Yunnan Forestry Technological College of Information engineering Yunnan Forestry Technological College Kunming Yunnan China Yunnan Key Laboratory of Internal Combustion Engines Kunming Yunnei Power Co. Ltd. Kunming Yunnei Power Co. Ltd. Kunming Yunnan China Department of Science and Technology Yunnan Forestry Technological College Yunnan Forestry Technological College Kunming Yunnan China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

This study proposes an innovative Environment Control System (EDT-DHO) that optimizes the cultivation of Dendrobium officinale through the integration of Internet of Things edge computing and hybrid digital twin technology. The system breaks through three major bottlenecks: (1) Dynamic edge scheduling reduces delay from 287 seconds to 1823 seconds (a decrease of 36.5%); (2) Feature decoupling federated learning achieves a prediction accuracy of 92.7% with a privacy risk as low as 32%; (3) The FvCB-3DCNN hybrid model improves control precision to $\pm 0.7^{\mathrm{o}}\mathrm{C}$ . Cross-climate experiments show that the EDT-DHO system increases production by 23.6% and saves energy by 42.6%. Experiments demonstrate that the EDT-DHO provides a reproducible technical framework for the intelligent upgrade of precision agriculture.

关键词： Precision agriculture Technological innovation Accuracy Processor scheduling Federated learning Dynamic scheduling Digital twins Optimization Engines Edge computing

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A novel approach for feature extraction from a gamma‑ray energy spectrum based on image descriptor transferring for radionuclide identification

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Nuclear science and Techniques 2022年第12期33卷 88-104页

作者： Hao‑Lin Liu Hai‑Bo Ji Jiang‑Mei Zhang Cao‑Lin Zhang Jing Lu Xing‑Hua Feng Department of Automation University of Science and Technology of ChinaHefei 230026China School of Information Engineering Southwest University of Science and TechnologyMianyang 621010China Fundamental Science on Nuclear Wastes and Environment Safety Laboratory Southwest University of Science and TechnologyMianyang 621010China

This study proposes a novel feature extraction approach for radionuclide identification to increase the precision of identification of the gamma-ray energy spectrum *** easier utilization of the information contained in the spectra,the vectors of the gamma-ray energy spectra from Euclidean space,which are fingerprints of the different types of radionuclides,were mapped to matrices in the Banach ***,to make the spectra in matrix form easier to apply to image-based deep learning frameworks,the matrices of the gamma-ray energy spectra were mapped to images in the RGB color space.A deep convolutional neural network(DCNN)model was constructed and trained on the ImageNet *** mapped gamma-ray energy spectrum images were applied as inputs to the DCNN model,and the corresponding outputs of the convolution layers and fully connected layers were transferred as descriptors of the images to construct a new classification model for radionuclide *** transferred image descriptors consist of global and local features,where the activation vectors of fully connected layers are global features,and activations from convolution layers are local features.A series of comparative experiments between the transferred image descriptors,peak information,features extracted by the histogram of the oriented gradients(HOG),and scale-invariant feature transform(SIFT)using both synthetic and measured data were applied to 11 classical *** results demonstrate that although the gamma-ray energy spectrum images are completely unfamiliar to the DCNN model and have not been used in the pre-training process,the transferred image descriptors achieved good classification *** global features have strong semantic information,which achieves an average accuracy of 92.76%and 94.86%on the synthetic dataset and measured dataset,*** results of the statistical comparison of features demonstrate that the proposed approach outperforms the peak-se

关键词： Radionuclide identification Feature extraction Transfer learning Gamma energy spectrum analysis Image descriptor

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FERROHYDRODYNAMIC PUMPING IN SPATIALLY UNIFORM SINUSOIDALLY TIME-VARYING MAGNETIC-FIELDS

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JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS 1995年第1-2期149卷 165-173页

作者： ZAHN, M GREER, DR Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Laboratory for Electromagnetic and Electronic Systems Cambridge MA 02139 USA

Past work has analyzed ferrofluid pumping in a planar duct driven by spatially non-uniform traveling wave magnetic fields. Here we examine a much simpler case where the applied magnetic fields along and transverse to the duct axis are spatially uniform and varying sinusoidally with time;In the uniform magnetic field the magnetization characteristic depends on particle spin but does not depend on fluid velocity. The magnetization force density along the duct axis is zero while the magnetic torque density is non-zero as M and H are not collinear due to a magnetic relaxation time constant as well as due to spatially varying particle spin. The governing linear and angular momentum conservation equations are numerically integrated to solve for flow and spin velocity distributions for zero and non-zero spin viscosities as a function of magnetic field strength, phase, frequency, and direction along and transverse to the duct axis, and as a function of pressure gradient along the duct, vortex viscosity, dynamic viscosity, and ferrofluid magnetic susceptibility. Analytical solutions for simple limiting cases are also given including an effective viscosity that depends on magnetic field strength which can be made zero or negative.

关键词： Magnetic fluids

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Flat Supercontinuum Generation within the Telecommunication Wave Bands in a Photonic Crystal Fiber with Central Holes

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Chinese Physics Letters 2012年第5期29卷 126-128页

作者： HAN Ying HOU Lan-Tian ZHOU Gui-Yao YUAN Jin-Hui XIA Chang-Ming WANG Wei WANG Chao HOU Zhi-Yun College of Information Science and Engineering Yanshan UniversityQinhuangdao 066004 Key Laboratory of Metastable Material Science and Technology Yanshan UniversityQinhuangdao 066004 School of Information and Optoelectronic Science and Engineering South China Normal UniversityGuangzhou 510006 State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876

Flat supercontinuum in the telecommunication wave bands of E+S+C is generated by coupling a train of femtosecond pulses generated by a mode-locked Ti:sapphire laser into the fundameutal mode of a photonic crystal fiber with central holes fabricated in our lab. The pulse experiences the anomalous dispersion regime,and the soliton dynamic effect plays an important role in supercontinuum *** output spectrum in the wavelength range of 1360 1565nm does not include significant ripples due to higher pump peak power,and the normalized intensity shows less fluctuation.

关键词： pump Crystal soliton

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Discontinuous event-trigger scheme for global stabilization of state-dependent switching neural networks with communication delay

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Chinese Physics B 2021年第3期30卷 119-128页

作者： Yingjie Fan Zhen Wang Jianwei Xia Hao Shen College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China College of Mathematics and Systems Science Shandong University of Science and TechnologyQingdao 266590China School of Mathematical Science Liaocheng UniversityLiaocheng 252059China College of Electrical and Information Engineering Anhui University of TechnologyMa’anshan 243032China

This paper is concerned with the global stabilization of state-dependent switching neural networks(SDSNNs)viadiscontinuous event-triggered control with network-induced communication *** at decreasing triggering times,a discontinuous event-trigger scheme is utilized to determine whether the sampling information is required to be sent outor ***,under the effect of communication delay,the trigger condition and SDSNNs are transformed into twotractable models by designing a fictitious delay ***,using the Lyapunov–Krasovskii stability theory,someinequality estimation techniques,and extended reciprocally convex combination method,two sufficient criteria are established for ensuring the global stabilization of the resulting closed-loop SDSNNs,respectively.A unified framework isderived that has the ability to handle the simultaneous existence of the communication delay,the properties of discontinuousevent-trigger scheme,as well as feedback controller ***,the developed results demonstrate a quantitativerelationship among the event trigger parameter,communication delay,and triggering ***,two numerical examples are presented to illustrate the usefulness of the developed stabilization scheme.

关键词： global stabilization state-dependent switching neural networks discontinuous event-trigger scheme communication delay

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A Cascaded Co-evolutionary Model for Attribute Reduction and Classification Based on Coordinating Architecture with Bidirectional Elitist Optimization

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Chinese Journal of Electronics 2017年第1期26卷 13-21页

作者： DING Weiping WANG Jiandong LI Yuehua CHENG Xueyun School of Computer Science and Technology Nantong University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Provincial Key Laboratory for Computer Information Processing Technology Soochow University College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics

A cascaded co-evolutionary model for Attribute reduction and classification based on Coordinating architecture with bidirectional elitist optimization(ARC-CABEO) is proposed for the more practical applications. The regrouping and merging coordinating strategy of ordinary-elitist-role-based population is introduced to represent a more holistic cooperative co-evolutionary framework of different populations for attribute reduction. The master-slave-elitist-based subpopulations are constructed to coordinate the behaviors of different elitists, and meanwhile the elitist optimization vector with the strongest balancing between exploration and exploitation is selected out to expedite the bidirectional attribute co-evolutionary reduction process. In addition, two coupled coordinating architectures and the elitist optimization vector are tightly cascaded to perform the co-evolutionary classification of reduction subsets. Hence the preferring classification optimization goal can be achieved better. Some experimental results verify that the proposed ARC-CABEO model has the better feasibility and more superior classification accuracy on different UCI datasets, compared with representative algorithms.

关键词： Attribute reduction for classification Bidirectional elitist optimization Coordinating architecture Cascaded co-evolutionary model

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