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8th IEEE International Conference on Computer and Communications, ICCC 2022

作者： Ju, Chengen Ma, Yue Yin, Zhenyu Bi, Zhiying Wang, Jie Shenyang Institute of Computing Technology Chinese Academy of Sciences Shengyang China School of Computer Science and Technology University of Chinese Academy of Sciences Shengyang China Liaoning Key Lab. of Domestic Industrial Control Platform Technology on Basic Hardware Software Shengyang China

ISBN: (纸本)9781665450515

Fog computing as a promising technology develops network service quality by bringing resources closer to the end users. Unlike traditional cloud, fog is characterized by sporadic resources availability, geographical distribution and increased flexibility. However, tasks offloading and scheduling mechanisms still meet challenges in fog server workload balancing and task completion time minimizing. For solving these problems, a task scheduling strategy based on a general IoT-Fog analysis model is proposed in this paper. In the strategy, we will study how the end device selects the suitable fog server to process the requests. Based on the strategy, the end devices offload their tasks to specific fog server based on the propagation latency, computation capability of the server, etc. Without loss of generality, we consider the problem in probabilistic manner, such as request generating rate of the end device and the service rate of the fog server. Finally, extensive simulation experiments are done to demonstrate the effectiveness of our proposed strategy. © 2022 IEEE.

关键词： Fog

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Fusionmlp: A Mlp-Based Unified Image Fusion Framework

SSRN

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SSRN 2023年

作者： Liu, Shaolei Qu, Linhao Wang, Manning Song, Zhijian Digital Medical Research Center School of Basic Medical Science Fudan University Shanghai200032 China Shanghai Key Lab of Medical Image Computing and Computer Assisted Intervention China

Due to the powerful feature representation capacity, deep learning-based image fusion methods have improved the fusion results for better information integration. However, some inherent limitations in convolutional neural networks (CNN) and Transformer networks impede further performance improvement. Specifically, CNN-based methods have difficulties in mining global context information;Transformer-based methods are unable to adapt to different image sizes and the computational complexity grows exponentially with the image size. To overcome these problems, we propose the first MLPbased multi-scene image fusion framework, denoted as FusionMLP. In addition, we propose a novel loss function combining the spatial and frequency domain information for model training. Extensive experiments show that FusionMLP not only outperform SOTA multi-scene image fusion methods, but also outperform SOTA fusion algorithms for specific scenes. Codes will be released at https://***/slliuEric/FusionMLP. © 2023, The Authors. All rights reserved.

关键词： Image fusion

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Revisiting C and CP violation in η→π+π−π0 decay

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Physical Review D 2024年第5期110卷 055039页

作者： Jun Shi Jian Liang Susan Gardner Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center Department of Physics and Astronomy

The decay η→π+π−π0 is an ideal process in which to study flavor-conserving C and CP violation beyond the Standard Model. We deduce the C- and CP-odd quark operators that contribute to η→π+π−π0 originating from the mass-dimension-six Standard Model effective field theory. The corresponding hadron-level operators that generate a nonvanishing I=0 amplitude at order p6 in the chiral effective theory are presented for the first time, to the best of our knowledge, in addition to the leading-order operators ascribed to the I=2 final state. By fitting the KLOE-2 and the most recent BESIII experimental data, we determine the coefficients of the lowest-order I=0 and I=2 amplitudes and estimate the potential new physics energy scale. We also perform an impact study of the future η→π+π−π0 experiments.

关键词： Effective field theory Phenomenology Rare decays CP violation

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Search for strongly interacting dark matter at Belle II

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Physical Review D 2024年第11期109卷 115003-115003页

作者： Jinhan Liang Zuowei Liu Lan Yang Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center Department of Physics

A small component of dark matter (DM) that is strongly interacting with the standard model sector is consistent with various experimental observations. Despite the small abundance, strongly interacting DM can lead to pronounced signals in DM direct detection experiments. We study Belle II sensitivity on strongly interacting DM that has a MeV-GeV mass and couples with electrons. By taking into account the substantial interactions between DM and electrons within detectors, we compute the “ceiling” of the monophoton signature at Belle II, beyond which the monophoton channel loses its sensitivity, and visible electromagnetic calorimeter (ECL) clusters due to DM scatterings assume significance. We study two ECL signatures for strongly interacting DM: the monocluster and the dicluster channels. To carry out detailed calculations and to compare with other constraints, we consider DM models with light mediators, as they naturally lead to sizable interaction cross sections. We compute exclusion regions for the dicluster, monocluster, and monophoton channels. We find that Belle II (with currently accumulated data of 362 fb−1) can rule out a significant portion of the parameter space above the ceilings of the constraints from various DM direct detection and neutrino experiments, for the vector mediator case with mass ≳10 MeV. Belle II also offers superior constraints on new light particles compared to primordial black hole (PBH) for the scalar mediator with mass ≳10 MeV.

关键词： Particle dark matter

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Quantum frontiers in high energy physics

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science China(Physics,Mechanics & Astronomy) 2025年第6期68卷 49-71页

作者： Yaquan Fang Christina Gao Ying-Ying Li Jing Shu Yusheng Wu Hongxi Xing Bin Xu Lailin Xu and Chen Zhou Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China Department of Physics Southern University of Science and TechnologyShenzhen 518055China Interdisciplinary Center for Theoretical Study University of Science and Technology of ChinaHefei 230026China Peng Huanwu Center for Fundamental Theory Hefei 230026China State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Center for High Energy Physics Peking UniversityBeijing 100871China Beijing Laser Acceleration Innovation Center Beijing 101400China State Key Laboratory of Particle Detection and Electronics Department of Modern PhysicsUniversity of Science and Technology of ChinaHefei 230026China Key Laboratory of Atomic and Subatomic Structure and Quantum Control(MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of MatterInstitute of Quantum MatterSouth China Normal UniversityGuangzhou 510006China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear ScienceSouthern Nuclear Science Computing CenterSouth China Normal UniversityGuangzhou 510006China Southern Center for Nuclear-Science Theory Institute of Modern PhysicsChinese Academy of SciencesHuizhou 516000China

Numerous challenges persist in high energy physics(HEP),the addressing of which requires advancements in detection technology,computational methods,data analysis frameworks,and phenomenological *** provide a concise yet comprehensive overview of recent progress across these areas,in line with advances in quantum *** will discuss the potential of quantum devices in detecting subtle effects indicative of new physics BSM,the transformative role of quantum algorithms and large-scale quantum computers in studying real-time non-perturbative dynamics in the early universe and at colliders,as well as in analyzing complex HEP ***,we emphasize the importance of integrating quantum properties into HEP experiments to test quantum mechanics at unprecedented high-energy scales and search for hints of new *** ahead,the continued integration of resources to fully harness these evolving technologies will enhance our efforts to deepen our understanding of the fundamental laws of nature.

关键词： high energy physics quantum sensing quantum simulations quantum machine learning quantum information

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Nambu-Goldstone modes in magnetized T2n extra dimensions

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Physical Review D 2024年第3期110卷 035032页

作者： Takuya Hirose Hajime Otsuka Koji Tsumura Yoshiki Uchida Department of Physics Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center

We consider a U(1) gauge theory on M4×T4 with background magnetic fluxes. We show that a theory including arbitrary fluxes can always be studied in a theory involving only diagonal fluxes by appropriate coordinate transformations. It is found that the number of independent magnetic fluxes is equal to the rank of the classical value of the field strength matrix, rank⟨F⟩. The number of massless zero modes induced from extra components of higher-dimensional gauge field (Wilson-line scalar field) is also determined by rank⟨F⟩. We explicitly confirm that the quantum corrections due to the matter fermion to the squared mass of the Wilson-line scalar field cancel out at the one-loop level. For this purpose, we derive the fermion mass spectrum on M4×T4 with arbitrary fluxes. By taking the flux diagonal basis, creation and annihilation operators for Kaluza-Klein quantum numbers are defined appropriately. Our results are easily generalized to the case of M4×T2n(n≥3).

关键词： Compactification Hierarchy problem Higher-dimensional field theories Spontaneous symmetry breaking

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FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

arXiv

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arXiv 2022年

作者： Han, Sungwon Park, Sungwon Wu, Fangzhao Kim, Sundong Wu, Chuhan Xie, Xing Cha, Meeyoung School of Computing KAIST Korea Republic of Data Science Group Institute for Basic Science Korea Republic of Microsoft Research Asia China Tsinghua University China

This paper presents FedX, an unsupervised federated learning framework. Our model learns unbiased representation from decentralized and heterogeneous local data. It employs a two-sided knowledge distillation with contrastive learning as a core component, allowing the federated system to function without requiring clients to share any data features. Furthermore, its adaptable architecture can be used as an add-on module for existing unsupervised algorithms in federated settings. Experiments show that our model improves performance significantly (1.58-5.52pp) on five unsupervised algorithms. Copyright © 2022, The Authors. All rights reserved.

关键词： Distillation

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Role of J/ψ production in electron-ion collisions

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Physical Review D 2025年第1期111卷 L011501-L011501页

作者： Zexuan Chu Jinhui Chen Xiang-Peng Wang Hongxi Xing Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics Fudan University Shanghai 200433 China Shanghai Research Center for Theoretical Nuclear Physics NSFC and Fudan University Shanghai 200438 China Technical University of Munich TUM School of Natural Sciences Physics Department James-Franck-Strasse 1 85748 Garching Germany Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter South China Normal University Guangzhou 510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center South China Normal University Guangzhou 510006 China Southern Center for Nuclear-Science Theory (SCNT) Institute of Modern Physics Chinese Academy of Sciences Huizhou 516000 China

Within the framework of nonrelativistic QCD (NRQCD) effective field theory, we study the leptoproduction of J/ψ at next-to-leading order in perturbative QCD for both unpolarized and polarized electron-ion collisions. We demonstrate that the J/ψ-tagged deep inelastic scattering in the future Electron-Ion Collider can be served as a golden channel for reasons including constraining NRQCD long-distance matrix elements, probing the nuclear gluon distribution functions, as well as investigating the gluon helicity distribution inside a longitudinal polarized proton.

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Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network

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Computers, Materials & Continua 2021年第5期67卷 2585-2600页

作者： Gulzar Ahmad Saad Alanazi Madallah Alruwaili Fahad Ahmad Muhammad Adnan Khan Sagheer Abbas Nadia Tabassum School of Computer Science NCBA&ELahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Department of Basic Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan

Security is a significant issue for everyone due to new and creative ways to commit *** Closed-Circuit Television(CCTV)systems are being installed in offices,houses,shopping malls,and on streets to protect *** monitor CCTV;however,it is difficult for a single person to monitor the actions of multiple people at one ***,there is a dire need for an automated monitoring system that detects a person with ammunition or any other harmful material Based on our research and findings of this study,we have designed a new Intelligent Ammunition Detection and Classification(IADC)system using Convolutional Neural Network(CNN).The proposed system is designed to identify persons carrying weapons and ammunition using CCTV *** weapons are identified,the cameras sound an *** the proposed IADC system,CNN was used to detect firearms and *** CNN model which is a Deep Learning technique consists of neural networks,most commonly applied to analyzing visual imagery has gained popularity for unstructured(images,videos)data ***,this system generates an early warning through detection of ammunition before conditions become *** the faster and earlier the prediction,the lower the response time,loses and potential *** proposed IADC system provides better results than earlier published models like VGGNet,OverFeat-1,OverFeat-2,and OverFeat-3.

关键词： CCTV CNN IADC deep learning intelligent ammunition detection DnCNN

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MMDSSE: Multi-client and Multi-keyword Dynamic Searchable Symmetric Encryption for Cloud Storage

MMDSSE: Multi-client and Multi-keyword Dynamic Searchable Sy...

引用

Annual Conference on Privacy, Security and Trust, PST

作者： Panyu Wu Zhenfu Cao Jiachen Shen Xiaolei Dong Yihao Yang Jun Zhou Liming Fang Zhe Liu Chunpeng Ge Chunhua Su Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Research Center for Basic Theories of Intelligent Computing Research Institute of Basic Theories Zhejiang Lab Hangzhou China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Parallel and Distributed Processing Laboratory (PDL) Changsha China Shandong University Jinan China University of Aizu Fukushima Japan

Since data outsourcing poses privacy concerns with data leakage, searchable symmetric encryption (SSE) has emerged as a powerful solution that enables clients to perform query operations on encrypted data while preserving their privacy. Dynamic SSE schemes have been proposed to handle update operations. However, it is shown that updates might increase the risk of information leakage. Meanwhile, to meet the requirement of real-world applications, it is desirable to have the searchable encryption scheme which supports both multiple clients and multi-keyword queries. To address these issues, this paper proposes MMDSSE, a multi-client forward secure dynamic SSE scheme that supports multi-keyword queries. MMDSSE allows the clients narrow down the results by providing an arbitrary subset of the entire archive, and thus suitable for cloud storage environment. Security analysis and experimental evaluations show that MMDSSE is secure and efficient.

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