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IEEE Transactions on Artificial Intelligence 2024年第8期5卷 4101-4110页

作者： Xiao, Zhiwen Xing, Huanlai Qu, Rong Li, Hui Feng, Li Zhao, Bowen Yang, Jiayi Southwest Jiaotong University School of Computing and Artificial Intelligence Chengdu610031 China Tangshan Institute of Southwest Jiaotong University Tangshan063000 China Engineering Research Center of Sustainable Urban Intelligent Transportation Ministry of Education Chengdu611756 China University of Nottingham School of Computer Science NottinghamNG7 2RD 455356 United Kingdom Xi'an Jiaotong University School of Mathematics and Statistics Xi'an710049 China Tongji University School of Software Engineering Shanghai201804 China

Over the years, many deep learning algorithms have been developed for time series classification (TSC). A learning model's performance usually depends on the quality of the semantic information extracted from lower and higher levels within the representation hierarchy. Efficiently promoting mutual learning between higher and lower levels is vital to enhance the model's performance during model learning. To this end, we propose a self-bidirectional decoupled distillation (self-BiDecKD) method for TSC. Unlike most self-distillation algorithms that usually transfer the target-class knowledge from higher to lower levels, self-BiDecKD encourages the output of the output layer and the output of each lower level block to form a bidirectional decoupled knowledge distillation (KD) pair. The bidirectional decoupled KD promotes mutual learning between lower and higher level semantic information and extracts the knowledge hidden in the target and nontarget classes, helping self-BiDecKD capture rich representations from the data. Experimental results show that compared with a number of self-distillation algorithms, self-BiDecKD wins 35 out of 85 University of California, Riverside (UCR) 2018 datasets and achieves the smallest AVeraGe (AVG)_rank score, namely 3.2882. In particular, compared with a nonself-distillation baseline, self-BiDecKD results in 58/8/19 regarding 'win'/'tie'/'lose.' © 2020 IEEE.

关键词： Semantics

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Fault Tolerance and Cost Effectiveness Analysis of Low-Powered 3D-TESH Network 4

Fault Tolerance and Cost Effectiveness Analysis of Low-Power...

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4th International Conference on Sustainable Technologies for Industry 4.0, STI 2022

作者： Faisal, Faiz Al Hafizur Rahman, M.M. Inoguchi, Yasushi Green University of Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh Ccsit King Faisal University Department of Computer Networks & Communications Saudi Arabia Jaist Research Center for Advanced Computing Infrastructure Nomi Ishikawa Japan

ISBN: (纸本)9781665490450

Exa-scale supercomputing is the prime target for the supercomputers. To reach at that point, supercomputers require redesigning the interconnection networks to support high network scalability, suitable network performance, low cost-performance ratio, low power usage, high fault-tolerance, low network congestion and high throughput with low latency. Among the thousand of interconnection networks, one of the most capable one is 3D-TESH, is a hierarchical interconnection network (HIN) interconnected with multiple basic modules (basic modules are basically treated as single on-chip network), where each on-chip network is similar to a 3Dmesh network and off-chip network are built using the 2Dtorus connections. Some static network parameters as well as dynamic communication performance (on-chip level) had been studied earlier for 3DTESH, which ensured the high significance of this network in comparing with others. Moreover, in case of power consumption, it requires about 41% less router power than 5Dtorus at the on-chip level. In this paper, we like to evaluate some other important static parameters like- packing density, fault tolerance, wiring complexity, cost effectiveness factor and etc. Here, we found that 3D-TESH yields much better results than network like - 3Dmesh, 2Dmesh, 2Dtorus, TESH and even the 3Dtorus. © 2022 IEEE.

关键词： Cost effectiveness

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Critical nonlinear aspects of hopping transport for reconfigurable logic in disordered dopant networks

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Physical Review Applied 2024年第2期22卷 024063页

作者： Henri Tertilt Jonas Mensing Marlon Becker Wilfred G. van der Wiel Peter A. Bobbert Andreas Heuer Institute for Physical Chemistry Department of Physics NanoElectronics Group Faculty of Electrical Engineering Mathematics and Computer Science MESA+ Institute for Nanotechnology and Center for Brain-Inspired Nano Systems (BRAINS) Department of Applied Physics Center for Computational Energy Research (CCER)

Nonlinear behavior in the hopping transport of interacting charges enables reconfigurable logic in disordered dopant network devices, where voltages applied at control electrodes tune the relation between voltages applied at input electrodes and the current measured at an output electrode. From kinetic Monte Carlo simulations we analyze the critical nonlinear aspects of variable-range hopping transport for realizing Boolean logic gates in these devices on three levels. First, we quantify the occurrence of individual gates for random choices of control voltages. We find that linearly inseparable gates such as the xor gate are less likely to occur than linearly separable gates such as the and gate, despite the fact that the number of different regions in the multidimensional control voltage space for which and or xor gates occur is comparable. Second, we use principal-component analysis to characterize the distribution of the output current vectors for the (00,10,01,11) logic input combinations in terms of eigenvectors and eigenvalues of the output covariance matrix. This allows a simple and direct comparison of the behavior of different simulated devices and a comparison to experimental devices. Third, we quantify the nonlinearity in the distribution of the output current vectors necessary for realizing Boolean functionality by introducing three nonlinearity indicators. The analysis provides a physical interpretation of the effects of changing the hopping distance and temperature and is used in a comparison with data generated by a deep neural network trained on a physical device.

关键词： Carrier dynamics Dynamics of networks Electrical conductivity Fitness Hopping transport Network optimization Optimization problems Temperature

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Cooperative Detection Method for DDoS Attacks Based on Blockchain

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computer Systems science & engineering 2022年第10期43卷 103-117页

作者： Jieren Cheng Xinzhi Yao Hui Li Hao Lu Naixue Xiong Ping Luo Le Liu Hao Guo Wen Feng Hainan University Haikou570228China Hainan Blockchain Technology Engineering Research Center Haikou570228China Hainan Huochain Tech Company Limited Haikou570100China Research Office of Information Technology Air Force Early Warning AcademyWuhan430019China Department of Mathematics and Computer Science Northeastern State UniversityTahlequah74464USA

Distributed Denial of Service(DDoS)attacks is always one of the major problems for service *** blockchain to detect DDoS attacks is one of the current popular ***,the problems of high time overhead and cost exist in the most of the blockchain methods for detecting DDoS *** paper proposes a blockchain-based collaborative detection method for DDoS ***,the trained DDoS attack detection model is encrypted by the Intel Software Guard Extensions(SGX),which provides high security for uploading the DDoS attack detection model to the ***,the service provider uploads the encrypted model to Inter Planetary File System(IPFS)and then a corresponding Content-ID(CID)is generated by IPFS which greatly saves the cost of uploading encrypted models to the *** addition,due to the small amount of model data,the time cost of uploading the DDoS attack detection model is greatly ***,through the blockchain and smart contracts,the CID is distributed to other service providers,who can use the CID to download the corresponding DDoS attack detection model from *** provides a decentralized,trusted and tamper-proof environment for service ***,smart contracts and IPFS greatly improve the distribution efficiency of the model,while the distribution of CID greatly improves the efficiency of the transmission on the *** this way,the purpose of collaborative detection can be achieved,and the time cost of transmission on blockchain and IPFS can be considerably *** designed a blockchain-based DDoS attack collaborative detection framework to improve the data transmission efficiency on the blockchain,and use IPFS to greatly reduce the cost of the distribution *** the experiment,compared with most blockchain-based method for DDoS attack detection,the proposed model using blockchain distribution shows the advantages of low cost and *** remote authentication mechanism of Intel

关键词： Blockchain smart contract IPFS DDoS attack

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Formation Mechanism of Nanoparticles in Fe-Cr-Al ODS Alloy Fabricated by Direct Oxidation Method

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Acta Metallurgica Sinica(English Letters) 2021年第7期34卷 963-972页

作者： Fuzhao Yan Jing Li Yiyi Li Liangyin Xiong Shi Liu Materials for Special Environments Division CAS Key Laboratory of Nuclear Materials and Safety AssessmentShi-changxu Innovation Center for Advanced MaterialsInstitute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China

This study presents the fabrication of 14CrFe-Cr-Al oxide dispersion strengthened(ODS)alloy by a direct oxidation *** order to explain how oxide nanoparticles are formed in the consolidation process,the powders after oxidation are subjected to vacuum thermal treatment at high *** scanning calorimeter,X-ray photoelectron spectroscopy,scanning electron microscopy and transmission electron microscopy techniques are used to detect the generation,evolution of oxides on both the surface and interior of the powder,as well as the type of oxide nanoparticles in the fabricated ODS *** is found that an iron oxide layer is formed on the surface of the powder during low temperature *** the iron oxide layer would be decomposed after thermal treatment at high *** the consolidation process,the oxygen required by the reaction of alumina and yttrium oxide to produce nano scale Y-Al-O particles mainly derives from the decomposition of iron oxide layer at elevated temperature and the inward diffusion of *** the direct oxidation process,YAlO_(3) nanoparticles are dispersed in the grains and at the grain boundaries of Fe-Cr-Al ODS alloy.

关键词： Fe-Cr-Al ODS alloy Direct oxidation Iron oxide layer Y-Al-O nanoparticles Formation mechanism

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LIBRA:an adaptative integrative tool for paired single-cell multi-omics data

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Quantitative Biology 2023年第3期11卷 246-259页

作者： Xabier Martinez-de-Morentin Sumeer AKhan Robert Lehmann Sisi Qu Alberto Maillo Narsis AKiani Felipe Prosper Jesper Tegner David Gomez-Cabrero Navarrabiomed Complejo Hospitalario de Navarra(CHN)Universidad Pública de Navarra(UPNA)IdiSNAPamplona 31001Spain Biological and Environmental Sciences and Engineering Division King Abdullah University of Science and TechnologyThuwal 23955Saudi Arabia Algorithmic Dynamic Lab Department of Oncology and PathologyCenter for Molecular MedicineKarolinska InstituteStockholm 17177Sweden Division of Hemato-Oncology Center for Applied Medical Research CIMACancer Center University of Navarra(CCUN)Navarra Institute for Health Research(IDISNA)CIBERONCPamplona 31008Spain Department of Hematology Clinica Universidad de NavarraCIBERONC Pamplona 31008Spain Computer Electrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and TechnologyThuwal 23955Saudi Arabia

Background:Single-cell multi-omics technologies allow a profound system-level biology understanding of cells and ***,an integrative and possibly systems-based analysis capturing the different modalities is *** response,bioinformatics and machine learning methodologies are being developed for multi-omics single-cell *** is unclear whether current tools can address the dual aspect of modality integration and prediction across modalities without requiring extensive parameter ***:We designed LIBRA,a neural network based framework,to learn translation between paired multi-omics profiles so that a shared latent space is ***,we implemented a variation,aLIBRA,that allows automatic fine-tuning by identifying parameter combinations that optimize both the integrative and predictive *** model parameters and evaluation metrics are made available to users with minimal user ***,aLIBRA allows experienced users to implement custom *** LIBRA toolbox is freely available as R and Python libraries at GitHub(TranslationalBioinformaticsUnit/LIBRA).Results:LIBRA was evaluated in eight multi-omic single-cell data-sets,including three combinations of *** observed that LIBRA is a state-of-the-art tool when evaluating the ability to increase cell-type(clustering)resolution in the integrated latent ***,when assessing the predictive power across data modalities,such as predictive chromatin accessibility from gene expression,LIBRA outperforms existing *** expected,adaptive parameter optimization(aLIBRA)significantly boosted the performance of learning predictive models from paired ***:LIBRA is a versatile tool that performs competitively in both“integration”and“prediction”tasks based on single-cell multi-omics *** is a data-driven robust platform that includes an adaptive learning scheme.

关键词： single-cell multi-omic Autoencoder auto-finetuning

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Observation of Su-Schrieffer-Heeger Topological Model Band Structure in Integrated LNOI Coupled Ring Cavities 16

Observation of Su-Schrieffer-Heeger Topological Model Band S...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Dinh, Hiep X. Balcytis, Armandas Ozawa, Tomoki Ota, Yasutomo Baba, Toshihiko Iwamoto, Satoshi Mitchell, Arnan Nguyen, Thach G. Rmit University Integrated Photonics and Applications Centre MelbourneVIC3000 Australia Advanced Institute for Materials Research Tohoku University Sendai980-8577 Japan Keio University Department of Applied Physics and Physico-Informatics Yokohama223-8522 Japan Yokohama National University Department of Electrical and Computer Engineering Yokohama240-8501 Japan The University of Tokyo Research Center for Advanced Science and Technology Tokyo153-8904 Japan

We report synthetic frequency dimension Su-Schrieffer-Heeger model and its band structure observation using coupled ring cavities on an integrated photonic chip. Intra-cell and inter-cell couplings between hybridized ... 详细信息

ISBN: (纸本)9798350372076

关键词： Photonic integrated circuits

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Ascorbic acid derived carbon dots promote circadian rhythm and contribute to attention deficit hyperactivity disorder

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Nano research 2022年第9期15卷 8247-8254页

作者： Jian Huang Yun Wang Zhaomin Zhong Yurong Ma Keru Deng Changhong Liu Hui Huang Yang Liu Xin Ding Zhenhui Kang School of Biology&Basic Medical Science Soochow UniversitySuzhou 215123China Institute of Functional Nano and Soft Materials Laboratory(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou 215123China Division of Neonatology Children’s Hospital of Soochow UniversitySuzhou 215003China Macao Institute of Materials Science and Engineering(MIMSE) MUST-SUDA Joint Research Center for Advanced Functional MaterialsMacao University of Science and TechnologyTaipa 999078MacaoChina

Attention deficit hyperactivity disorder(ADHD)is one of the most prevalent psychiatric disorders in children,and ADHD patients always display circadian ***,the ADHD drugs currently used in clinic have strong side effects,such as psychosis,allergic reactions,and heart ***,we demonstrated carbon dots derived from the ascorbic acid(VCDs)could strongly rescue the hyperactive and impulsive behaviour of a zebrafish ADHD disease model caused by per1b *** prolonged the circadian period of zebrafish for more than half an *** addition,the amplitude and circadian phase were also *** dopamine level was specifically increased,which may be caused by stimulation of the dopaminergic neuron development in the ***,it was found that the serotonin level was not altered by VCDs ***,the gene transcriptome effects of VCDs were discussed in present *** results provided the dynamic interactions of carbon dots with circadian system and dopamine signaling pathway,which illustrates a potential application of degradable and bio-safe VCDs for the treatment of the attention deficient and hyperactive disorder through circadian intervention.

关键词： carbon dots circadian rhythm dopamine attention deficit hyperactivity disorder(ADHD) zebrafish

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Modulation of optical force acting on small particles by using photochemical reaction and its application to control of optical transportation speed

Modulation of optical force acting on small particles by usi...

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Optical Manipulation and Structured Materials Conference 2023

作者： Ito, Syoji Setoura, Kenji Miyasaka, Hiroshi Division of Frontier Materials Science Center for Promotion of Advanced Interdisciplinary Research Graduate School of Engineering Science Osaka University Toyonaka Osaka560-8531 Japan Department of Mechanical Engineering Kobe City College of Technology Hyogo Kobe651-2194 Japan Osaka Metropolitan University 1-2 Gakuen-cho Naka-ku Sakai Osaka599-8570 Japan

ISBN: (纸本)9781510663398

The speed of optical transportation of microparticles was modified by changing dissipative force acting on the particles through the switching of the absorption spectrum of molecules contained in the particles. Linear and orbital motions of microparticles in water were achieved by using slightly focused laser beams. Polymer microparticles containing photochromic molecules under the photoirradiation configuration were transported by the optical force due to scattering. The transportation speed was increased by changing the color of the particles by the photoinduced isomerization from transparent (non-resonant) to resonant with the manipulation beams. © 2023 SPIE.

关键词： Absorption spectroscopy

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对流水平板上二次混合的三重扩散纳米流体的流体力学和流体磁学对比分析

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Journal of Central South University 2023年第8期30卷 2616-2626页

作者： KHALID Abdulkhaliq M-alharbi HINA Gul MUHAMMAD Ramzan SEIFEDINE Kadry ABDULKAFI Mohammed-saeed Mechanical Engineering Department College of EngineeringUmm Al-Qura UniversityMakkah 24382Sandi Arabia Department of Computer Science Bahria UniversityIslamabad 44000Pakistan Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman 346United Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon Department of Mathematics College of ScienceQassim UniversityBuraydah 51452Saudi Arabia

当两种不同密度和扩散速率的纳米流体混合时,会发生三重扩散和对流现象。本文主要目的是比较对流水平板上二次混合的三重扩散纳米流体的流体力学和流体磁学。文中建立的模型其他新特征考虑了可变导热系数和非线性热辐射热通量。该问题... 详细信息

当两种不同密度和扩散速率的纳米流体混合时,会发生三重扩散和对流现象。本文主要目的是比较对流水平板上二次混合的三重扩散纳米流体的流体力学和流体磁学。文中建立的模型其他新特征考虑了可变导热系数和非线性热辐射热通量。该问题由一组方程组成,借助MATLAB bvp4c包进行求解。为了使参数与相关剖面的影响可视化,给出了图形说明,并利用图表来评估关键参数变化是如何影响相关场及其相应的物理量。通过对盐1和盐2的Dufour参数的多次估计,可以推断出流体流速的波动。验证了流体动力流相对于流体磁流的优势。此外,还将特定情景下已发表的结果与当前研究结果进行了比较。

关键词：三重扩散纳米流体二次混合对流可变导热系数非线性热辐射

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