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Evolution and Prospects of Foundation Models: From Large Language Models to Large Multimodal Models

Computers, Materials & Continua 2024年第8期80卷 1753-1808页

作者： Zheyi Chen Liuchang Xu Hongting Zheng Luyao Chen Amr Tolba Liang Zhao keping yu Hailin Feng College of Mathematics and Computer Science Zhejiang A&F UniversityHangzhou311300China Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Mathematics and Computer Science Department Faculty of ScienceMenofia UniversityShebin El KomMenoufia Governorate32511Egypt School of Computer Science Shenyang Aerospace UniversityShenyang110136China Graduate School of Science and Engineering Hosei UniversityTokyo184-8584Japan

Since the 1950s,when the Turing Test was introduced,there has been notable progress in machine language *** modeling,crucial for AI development,has evolved from statistical to neural models over the last two ***,transformer-based Pre-trained Language Models(PLM)have excelled in Natural Language Processing(NLP)tasks by leveraging large-scale training *** the scale of these models enhances performance significantly,introducing abilities like context learning that smaller models *** advancement in Large Language Models,exemplified by the development of ChatGPT,has made significant impacts both academically and industrially,capturing widespread societal *** survey provides an overview of the development and prospects from Large Language Models(LLM)to Large Multimodal Models(LMM).It first discusses the contributions and technological advancements of LLMs in the field of natural language processing,especially in text generation and language ***,it turns to the discussion of LMMs,which integrates various data modalities such as text,images,and sound,demonstrating advanced capabilities in understanding and generating cross-modal content,paving new pathways for the adaptability and flexibility of AI ***,the survey highlights the prospects of LMMs in terms of technological development and application potential,while also pointing out challenges in data integration,cross-modal understanding accuracy,providing a comprehensive perspective on the latest developments in this field.

关键词： Artificial intelligence large language models large multimodal models foundation models

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Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine

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Digital Communications and Networks 2023年第2期9卷 296-305页

作者： Jing Zhang Qichen Yan Xiaogang Zhu keping yu Department of Computer Science and Technology Xi'an University of Science and TechnologyXi'an710054China Department of Information Science and Technology Northwest UniversityXi’an 710127China School of Public Policy and Administration Nanchang UniversityNanchangJiangxi330031China Graduate School of Science and Engineering Hosei UniversityTokyo184-8584Japan RIKEN Center for Advanced Intelligence Project RIKENTokyo103-0027Japan

The crowd sensing technology can realize the sensing and computing of people,machines,and environment in smart industrial IoT-based coal mine,which provides a solution for safety monitoring through distributed intelligence ***,due to the difficulty of neural network training to achieve global optimality and the fact that traditional LSTM methods do not consider the relationship between adjacent machines,the accuracy of human body position prediction and pressure value prediction is not *** solve these problems,this paper proposes a smart industrial IoT empowered crowd sensing for safety monitoring in coal ***,we propose a Particle Swarm Optimization-Elman Neural Network(PE)algorithm for the mobile human position ***,we propose an ADI-LSTM neural network prediction algorithm for pressure values of machines supports in underground *** them,our proposed PE algorithm has the lowest average cumulative prediction error,and the trajectory fit rate is improved by 24.1%,13.9%and 8.7%compared with Kalman filtering,Elman and Kalman plus Elman algorithms,***,compared with single-input ARIMA,RNN,LSTM,and GRU,the RMSE values of our proposed ADI-LSTM are reduced by 36.6%,52%,32%,and 13.7%,respectively;and the MAPE values are reduced by 0.0003%,0.9482%,1.1844%,and 0.3620%,respectively.

关键词： Crowd sensing Industrial Internet of things Safety monitoring Coal mine

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A blockchain-empowered AAA scheme in the large-scale HetNet

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Digital Communications and Networks 2021年第3期7卷 308-316页

作者： Na Shi Liang Tan Wenjuan Li Xin Qi keping yu College of Computer Science Sichuan Normal UniversitySichuan610101China Institute of Computing Technology Chinese Academy of SciencesBeijing100190China Institute of Artificial Intelligence and Blockchain Guangzhou UniversityChina DTU Compute Technical University of DenmarkDenmark Global Information and Telecommunication Institute Waseda UniversityShinjukuTokyo169-8050Japan

A Large-Scale Heterogeneous Network(LS-HetNet)integrates different networks into one uniform network system to provide seamless one-world network *** LS-HetNet,various devices use different technologies to access heterogeneous networks and generate a large amount of *** dealing with a large number of access requirements,these data are usually stored in the HetNet Domain Management Server(HDMS)of the current domain,and HDMS uses a centralized Authentication/Authorization/Auditing(AAA)scheme to protect the ***,this centralized method easily causes the data to be modified or *** address this issue,we propose a blockchain-empowered AAA scheme for accessing data of ***,the account address of the blockchain is used as the identity authentication,and the access control permission of data is redesigned and stored on the blockchain,then processes of AAA are ***,the experimental model on Ethereum private chain is built,and the results show that the scheme is not only secure but also decentral,without tampering and trustworthiness.

关键词： HetNet AAA Privacy preserving Blockchain Transaction

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Governance and Good Governance： A New Framework for Political Analysis

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Fudan Journal of the Humanities and Social Sciences 2018年第1期11卷 1-8页

作者： yu keping School of Government Peking University Beijing 100871 China

In a time of great change, accelerating globalization and increasing uncertainty, all countries, whether developed or developing, are searching for a new form of governance that is better adapted to the times so as to gain an advantage in economic competitiveness and create substantial and sustainable social growth. As governance theory is becoming the dominant political theory in response to the change, the values backing the discourse and texts consistent with them have helped revise the theory of government in mainstream politics and were agreed upon by global politicians, scholars, officials and entrepreneurs. When we comprehend governance theory based on the practice of public administration in China, it strikes us how theoretically and practically important governance theory is for rebuilding the intellectual system of China＇ s democratic politics, searching for an institutional platform for good governance, transforming the public policy-making model and getting rid of the practice in public administration in the process of market-oriented development that is inefficient, or even falls in many ways.

关键词： Governance Good governance Governance reform Publicadministration - Political science

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Challenge-based collaborative intrusion detection in software-defined networking: An evaluation

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Digital Communications and Networks 2021年第2期7卷 257-263页

作者： Wenjuan Li yu Wang Zhiping Jin keping yu Jin Li Yang Xiang Institute of Artificial Intelligence and Blockchain Guangzhou UniversityGuangzhou510006China Department of Applied Mathematics and Computer Science Technical University of Denmark2800LyngfjyDenmark School of Information Engineering Zhongshan Polytechnic528400GuangdongChina Global Information and Telecommunication Institute Waseda UniversityShinjukuTokyo169-8050Japan

Software-Defined Networking(SDN)is an emerging architecture that enables a computer network to be intelligently and centrally controlled via software *** can help manage the whole network environment in a consistent and holistic way,without the need of understanding the underlying network *** present,SDN may face many challenges like insider attacks,i.e.,the centralized control plane would be attacked by malicious underlying devices and *** protect the security of SDN,effective detection approaches are *** the literature,challenge-based collaborative intrusion detection networks(CIDNs)are an effective detection framework in identifying malicious *** calculates the nodes'reputation and detects a malicious node by sending out a special message called a *** this work,we devise a challenge-based CIDN in SDN and measure its performance against malicious internal *** results demonstrate that such a mechanism can be effective in SDN environments.

关键词： Software-defined networking Trust management Collaborative intrusion detection Insider attack Challenge mechanism

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3D Reconstruction for Motion Blurred Images Using Deep Learning-Based Intelligent Systems

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Computers, Materials & Continua 2021年第2期66卷 2087-2104页

作者： Jing Zhang keping yu Zheng Wen Xin Qi Anup Kumar Paul Tamoritsusho Co. Ltd.Tokyo110-0005Japan Department of Computer Science and Technology Xi’an University of Science and TechnologyXi’an710054China Global Information and Telecommunication Institute Waseda UniversityTokyo169-8050Japan School of Fundamental Science and Engineering Waseda UniversityTokyo169-8050Japan Department of Electronics and Communications Engineering East West UniversityDhaka1212Bangladesh

The 3D reconstruction using deep learning-based intelligent systems can provide great help for measuring an individual’s height and shape quickly and accurately through 2D motion-blurred ***,during the acquisition of images in real-time,motion blur,caused by camera shaking or human motion,*** learning-based intelligent control applied in vision can help us solve the *** this end,we propose a 3D reconstruction method for motion-blurred images using deep ***,we develop a BF-WGAN algorithm that combines the bilateral filtering(BF)denoising theory with a Wasserstein generative adversarial network(WGAN)to remove motion *** bilateral filter denoising algorithm is used to remove the noise and to retain the details of the blurred ***,the blurred image and the corresponding sharp image are input into the *** algorithm distinguishes the motion-blurred image from the corresponding sharp image according to the WGAN loss and perceptual loss ***,we use the deblurred images generated by the BFWGAN algorithm for 3D *** propose a threshold optimization random sample consensus(TO-RANSAC)algorithm that can remove the wrong relationship between two views in the 3D reconstructed model relatively *** with the traditional RANSAC algorithm,the TO-RANSAC algorithm can adjust the threshold adaptively,which improves the accuracy of the 3D reconstruction *** experimental results show that our BF-WGAN algorithm has a better deblurring effect and higher efficiency than do other representative *** addition,the TO-RANSAC algorithm yields a calculation accuracy considerably higher than that of the traditional RANSAC algorithm.

关键词： 3D reconstruction motion blurring deep learning intelligent systems bilateral filtering random sample consensus

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大规模海上风电场桩基础对海洋水动力环境影响研究

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绿色科技 2024年第16期26卷 257-260页

作者：张孝严张琴丁玲余科平顾雯上海勘测设计研究院有限公司上海200335 中国长江三峡集团有限公司长江生态环境工程研究中心湖北武汉430014 上海东海风力发电有限公司上海200433

基于广东阳江青洲成片海上风电场项目,采用MIKE21软件搭建二维潮流数学模型,并结合项目海域实测潮流、潮汐资料对模型进行率定、验证,分析大规模海上风电项目实施前后的潮流动力场变化情况。结果表明:风电场建设后,单个桩基基础迎背水... 详细信息

基于广东阳江青洲成片海上风电场项目,采用MIKE21软件搭建二维潮流数学模型,并结合项目海域实测潮流、潮汐资料对模型进行率定、验证,分析大规模海上风电项目实施前后的潮流动力场变化情况。结果表明:风电场建设后,单个桩基基础迎背水面为流速减小区,垂直于涨落潮流方向为流速增大区,综合考虑7个风电场的布置情况,风机基础基群迎背水方向为流速减小区,垂直于风电场涨落潮方向为流速增大区,潮流流速流向改变的范围主要局限在7个风电场连片范围的区域内,7个风电场叠加效应并不明显。

关键词：风电场桩基水动力

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退而回到帝国体系,还是进而走向全球善治?——俞可平教授谈全球化时代的帝国研究和全球秩序

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俄罗斯研究 2023年第1期13卷 3-27页

作者：俞可平费海汀北京大学北京大学中国政治学研究中心深圳大学政府管理学院教育部人文社会科学重点研究基地华东师范大学俄罗斯研究中心

帝国研究近年来不仅成为国家理论关注的热点,而且事实上成为历史学研究、政治学研究和国际关系研究共同关注的热点问题。对于全人类而言,只要进行历史的反思,就离不开对历史上那些帝国兴亡经验和教训的反思。帝国与国家、民族、大国、... 详细信息

帝国研究近年来不仅成为国家理论关注的热点,而且事实上成为历史学研究、政治学研究和国际关系研究共同关注的热点问题。对于全人类而言,只要进行历史的反思,就离不开对历史上那些帝国兴亡经验和教训的反思。帝国与国家、民族、大国、霸权等概念既存在联系,又有着本质区别。帝国既是一个由不同属国组成的国家权力体系,也是一个由若干国家组成的等级秩序体系,通常还是一个相对独立的国际秩序体系。帝国产生的根本动因就是夺取其他国家和其他民族的物质利益,这种行为常会被冠以“共同繁荣”、“地区安全”、“生存空间”等名义。从世界各国的政治历史看,国家产生后必然导致帝国的出现,而对外扩张征服是否有利可图与国内民主法治制度两个因素是避免一个国家从强国走向帝国的关键。对于帝国的兴衰而言,社会政治制度安排往往要比军事力量、科技水平和经济实力更为重要。帝国体系在世界历史上延续了数千年,已经形成了一种强大的惯性和难以割离的政治遗产,人类社会也总会存在对帝国梦想和帝国秩序的怀念。帝国主义虽然将长期存在,但帝国的历史命运已经终结。作为一个趋势的全球化进程不可逆转,因此倡导一种民主的、公正的、透明的、平等的和共赢的全球治理,才是解决全球紧迫问题、应对全球严峻挑战的关键所在。

关键词：帝国研究全球秩序全球善治全球治理民族国家构建

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Research on Evaluation Factors of Intelligent Level of Dam Safety Monitoring System

Research on Evaluation Factors of Intelligent Level of Dam S...

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作者： Qiling Lu Xue Wang keping yu River and Reservoir Technology Center of Shanxi Province College of Water Conservancy and Hydropower Engineering Hohai University

With the continuous improvement of intelligence level,intelligent evaluation of a safety monitoring system has become the key to system *** order to improve the pertinence of evaluation,according to the application environment and demand of dam safety monitoring,this paper makes an in-depth study on the evaluation factors of the intelligent level of dam safety monitoring system from the system occurrence environment,system composition,network communications,system function and performance,channel protection and power control,remote maintenance,system parameters,running log,statistical analysis,rule discovery,hidden trouble diagnosis,maintenance advice,method and expert recommendation algorithm,intelligent query and human-computer interaction,etc.,providing a beneficial reference for the evaluation of improving the intelligent level of dam safety monitoring system.

关键词： Dam safety Automatic monitoring system Intelligent level Factors Evaluation

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Expression of non-structural protein NS3 gene of Bombyx mori densovirus (China isolate)

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Journal of Genetics and Genomics 2008年第4期35卷 239-244页

作者： Huijuan Yin Qin Yao Zhongjian Guo Fang Bao Wei yu Jun Li keping Chen Institute of Life Sciences Jiangsu University 301# Xuefu Road Zhenjiang 212013 China

The invertebrate parvovirus Bombyx mori Densonucleosis Virus type 3 （China isolate）, named BmDNV-3, is a kind of bidensovirus. It is a new type of virus with unique replication mechanisms. To investigate the effects of the NS3 gene during viral DNA replication, a pair of primers was designed for amplifying NS3 gene of Bombyx mori densovirus （China isolate）. Gene NS3 amplified was cloned into a prokaryotic expression vector pET-30a and the donor plasmid pFastBacHTe, respectively. The NS3 protein was expressed in Escherichia coli BL21. The pFastBacHTe-NS3 was transformed to E. coli DHIOBac. The recombinant bacmid baculoviruses （rBacmid-EGFP-NS3） isolated from the white colonies were transfected into BmN-4 cells using a transfection reagent. BraN-4 cells were infected with recombinant virus to express fusion proteins. The expression of fusion protein around 30 kDa in E. coli BL21 was identified by SDS-PAGE, Western blotting, and mass spectrometry. The expressed NS3 protein by B. mori nucleopolyhedrovirus bacmid system was confirmed by Western blotting using an anti-NS3 polyclonal antibody. And about 45 kDa protein was found. The expressed fusion protein was smaller than the expected size of EGFP-NS3, 55 kDa. Western blotting analysis indicated that EGFP-NS3 protein was expressed in infected larvae with smaller molecular size.

关键词： BmDNV NS3 protein expression

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