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Imitating and exploring the human brain's resting and task-performing states via brain computing: scaling and architecture

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National science Review 2024年第05期11卷 17-28页

作者： Wenlian Lu Longbin zeng Jiexiang wang Shitong Xiang Yang Qi Qibao Zheng Ningsheng Xu Jianfeng Feng DTB Consortium Institute of science and technology for Brain-Inspired Intelligence Fudan University Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence(Fudan university) Ministry of Education Fudan University shanghai Center for Mathematical sciences Fudan University department of computer science University of Warwick Zhangjiang Fudan International Innovation Center Fudan University

A computational human brain model with the voxel-wise assimilation method was established based on individual structural and functional imaging data. We found that the more similar the brain model is to the biological counterpart in both scale and architecture, the more similarity was found between the assimilated model and the biological brain both in resting states and during tasks by quantitative metrics. The hypothesis that resting state activity reflects internal body states was validated by the interoceptive circuit's capability to enhance the similarity between the simulation model and the biological brain. We identified that the removal of connections from the primary visual cortex(V1) to downstream visual pathways significantly decreased the similarity at the hippocampus between the model and its biological counterpart,despite a slight influence on the whole brain. In conclusion, the model and methodology present a solid quantitative framework for a digital twin brain for discovering the relationship between brain architecture and functions, and for digitally trying and testing diverse cognitive, medical and lesioning approaches that would otherwise be unfeasible in real subjects.

关键词： digital twin brain computational cortico-subcortical model fMRI data assimilation interoceptive circuit

Trusted dynamic level scheduling based on Bayes trust model

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science in china(Series F) 2007年第3期50卷 456-469页

作者： wang wei zeng guosun department of computer science and Engineering Tongji University Shanghai 201804 China tongji Branch National Engineering & Technology Center of High Performance Computer Shanghai 201804 China

A kind of trust mechanism-based task scheduling model was presented. Referring to the trust relationship models of social persons, trust relationship is built among Grid nodes, and the trustworthiness of nodes is evaluated by utilizing the Bayes method. Integrating the trustworthiness of nodes into a Dynamic Level Scheduling （DLS） algorithm, the Trust-Dynamic Level Scheduling （Trust-DLS） algorithm is proposed. Theoretical analysis and simulations prove that the Trust-DLS algorithm can efficiently meet the requirement of Grid tasks in trust, sacrificing fewer time costs, and assuring the execution of tasks in a security way in Grid environment.

关键词： Grid computing trustworthy scheduling Bayes method trustworthiness evaluation Trust-DLS

SemTrust: A Semantic Reputation System in P2P-Based Semantic Web

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Wuhan university Journal of Natural sciences 2006年第5期11卷 1137-1140页

作者： wang wei zeng guosun YUAN Lulai department of computer science and technology Tongii University Shanghai 201804 China tongji Branch National Engineering and TechnologyCenter of High Performance Computer Shanghai 201804China

A reputation mechanism is introduced in P2P- based Semantic Web to solve the problem of lacking trust. It enables Semantic Web to utilize reputation information based on semantic similarity of peers in the network. This approach is evaluated in a simulation of a content sharing system and the experiments show that the system with reputation mechanism outperforms the system without it.

关键词： semantic Web reputation system semantic similarity trustworthiness

Large circuit models: opportunities and challenges

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science china(Information sciences) 2024年第10期67卷 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG Sadaf KHAN Min LI Xingquan LI Yu LI Yun LIANG Jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN Dimitrios TSARAS Runsheng wang Ziyi wang Xinming wei Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU Mingxuan YUAN Evangeline F.Y.YOUNG Xuan zeng Haoyi ZHANG Zuodong ZHANG Yuxiang ZHAO Hui-Ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and computer science Ningbo University department of Electronic and computer Engineering Hong Kong University of Science and Technology department of computer science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng Cheng Laboratory School of computer science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

Analysis of the Fairness of Grid Resource Allocation Based on Multicommodity Market Model

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通讯和计算机（中英文版） 2006年第8期3卷 64-68,75页

作者： Hongzhong Chen guosun zeng department of computer science and technology Tongji University Shanghai 200092 China tongji Branch National Engineering and Technology Center of High Performance Computer Shanghai 200092 China

Fairness is one kind of the requirements in QoS of grid services. It is also important to optimize the allocation of grid resources and keep the overall stability of grid systems. At present, more and more economic models are applied to the grid resource management. In this paper, the fairness of grid resource allocation based on multicommodity market model is studied. Some definitions and criteria of the fairness are presented, and the fairness mechanisms of grid resource allocation are also proposed.

关键词： Grid Resource Allocation Fairness Multicommodity Market Model

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江西广昌白莲花粉成分与形态的研究

同济大学学报（自然科学版） 2001年第3期29卷 299-301页

作者：曾志将王开发俞小明庞会忠同济大学海洋地质与地球物理系上海200092 江西农业大学计算机系江西南昌330045 江西农业大学分析测试中心江西南昌330045

对白莲花粉的营养成分进行了比较全面的分析 .利用电镜对白莲花粉形态结构进行了观察 .同时利用计算机技术对白莲花粉形态进行了量化分析 .

关键词：江西广昌白莲花粉营养成分形态结构计算机量化分析花粉资源

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面向废旧电缆检测的轻量化网络模型

计算机工程 2024年第8期50卷 22-30页

作者：饶日昕王怡文曾砺志童心恬赵海涛华东理工大学信息科学与工程学院上海200237 华东理工大学机械与动力工程学院上海200237

目前我国废旧电缆回收主要依靠人工分拣,存在耗时耗力、准确性低的问题。为了更好地将模型部署至小型化硬件设备并提高检测实时性,提出基于改进YOLOv5s的废旧电缆检测网络模型。首先,将主干网络中的标准卷积模块替换为轻量化的幻象(Gho... 详细信息

目前我国废旧电缆回收主要依靠人工分拣,存在耗时耗力、准确性低的问题。为了更好地将模型部署至小型化硬件设备并提高检测实时性,提出基于改进YOLOv5s的废旧电缆检测网络模型。首先,将主干网络中的标准卷积模块替换为轻量化的幻象(Ghost)模块以减小网络的复杂度,并且在快速空间金字塔池化(SPPF)模块前引入卷积块注意力模块(CBAM),提高了特征提取和融合的效率。其次,将网络中Neck部分的C3模块结合有效通道注意力模块(ECA),实现了跨通道的信息交互,提高了网络特征融合能力。最后,在损失函数的计算部分使用Wise-交并比(WIoU)作为新的边界框损失函数以提升回归效果,加快模型的收敛速度。实验结果表明:改进模型的平均检测精度为96.3%,相比单点多框检测器(SSD)提高了1.2个百分点;参数量为5.15×10^(6),相比YOLOv5s模型减少了27.0%;在小型嵌入式设备LubanCat-1上的推理速度达到8.49帧/s,具有良好的实时性,适用于废旧电缆的实时检测与分类。

关键词：废旧电缆检测 YOLOv5s模型轻量化注意力机制嵌入式设备

CEPC Technical Design Report

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Radiation Detection technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH university of science and technology Faculty of Physics and Applied Computer ScienceKrakow Anhui university HefeiAnhui Applied Physics department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu university Institute of ScienceVaranasi Bandirma Onyedi Eylul university Bandirma Beihang university Beijing Beijing Computational science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of technology Beijing Beijing Normal university Beijing Brown university ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad university Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo university Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central china Normal university WuhanHubei Central South university ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan china academy of engineering physics MianyangSichuan china building materials academy Beijing china Center of Advanced science and technology Beijing china Institute of Atomic Energy Beijing china Jiliang university HangzhouZhejiang china Nuclear Instrument CO. LTDBeijing china university of Geosciences Beijing china university of Geosciences WuhanHubei china university of Mining and technology XuzhouJiangsu china West Normal university NanchongSichuan Chongqing university Department of PhysicsChongqing Chulalongkorn university Bangkok City university of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell university IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu university DalianLiaoning Dalian university of technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East china university Of science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by china,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

Magnetic plasmon resonances in nanostructured topological insulators for strongly enhanced light-MoS_(2) interactions

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Light(science & Applications) 2020年第1期9卷 155-164页

作者： Hua Lu zengji Yue Yangwu Li Yinan Zhang Mingwen Zhang wei zeng Xuetao Gan Dong Mao Fajun Xiao Ting Mei weiyao Zhao Xiaolin wang Min Gu Jianlin Zhao MOE Key Laboratory of Material Physics and Chemistry under Extraordinary Conditions and Shaanxi Key Laboratory of Optical Information TechnologySchool of Physical Science and TechnologyNorthwestern Polytechnical University710129 Xi’anChina Institute for Superconducting&Electronic Materials and ARC Centre of Excellence in Future Low-Energy Electronics University of WollongongNorth WollongongNSW 2500Australia Center for Artificial-Intelligence Nanophotonics School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology200093 ShanghaiChina Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications Institute of Photonics TechnologyJinan University510632 GuangzhouChina State Key Laboratory of Solidification Processing School of Materials Science and EngineeringNorthwestern Polytechnical University710072 Xi’anChina

Magnetic resonances not only play crucial roles in artificial magnetic materials but also offer a promising way for light control and interaction with ***,magnetic resonance effects have attracted special attention in plasmonic systems for overcoming magnetic response saturation at high frequencies and realizing high-performance optical *** novel states of matter,topological insulators(TIs)present topologically protected conducting surfaces and insulating bulks in a broad optical range,providing new building blocks for ***,until now,high-frequency(*** range)magnetic resonances and related applications have not been demonstrated in TI ***,we report for the first time,to our knowledge,a kind of visible range magnetic plasmon resonances(MPRs)in TI structures composed of nanofabricated Sb_(2)Te_(3) *** experimental results show that the MPR response can be tailored by adjusting the nanogroove height,width,and pitch,which agrees well with the simulations and theoretical ***,we innovatively integrated monolayer MoS_(2) onto a TI nanostructure and observed strongly reinforced light-MoS_(2) interactions induced by a significant MPR-induced electric field enhancement,remarkable compared with TI-based electric plasmon resonances(EPRs).The MoS_(2) photoluminescence can be flexibly tuned by controlling the incident light *** results enrich TI optical physics and applications in highly efficient optical functionalities as well as artificial magnetic materials at high frequencies.

关键词： topological resonance visible