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

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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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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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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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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Intelligent cache and buffer optimization for mobile VR adaptive transmission in 5G edge computing networks

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Digital Communications and Networks 2024年第5期10卷 1234-1244页

作者： Junchao Yang Ali Kashif Bashir Zhiwei Guo keping yu Mohsen Guizani Chongqing Key Laboratory of Intelligent Perception and BlockChain Technology School of Artificial Intelligence Chongqing Technology and Business University Department of Computing and Mathematics Manchester Metropolitan University Woxsen School of Business Woxsen University Department of Computer Science and Mathematics Lebanese American University Graduate School of Science and Engineering Hosei University Machine Learning Department Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)

Virtual Reality(VR) is a key industry for the development of the digital economy in the *** VR has advantages in terms of mobility,lightweight and cost-effectiveness,which has gradually become the mainstream implementation of *** this paper,a mobile VR video adaptive transmission mechanism based on intelligent caching and hierarchical buffering strategy in Mobile Edge Computing(MEC)-equipped 5G networks is proposed,aiming at the low latency requirements of mobile VR services and flexible buffer management for VR video adaptive *** support VR content proactive caching and intelligent buffer management,users' behavioral similarity and head movement trajectory are jointly used for viewpoint *** tile-based content is proactively cached in the MEC nodes based on the popularity of the VR ***,a hierarchical buffer-based adaptive update algorithm is presented,which jointly considers bandwidth,buffer,and predicted viewpoint status to update the tile chunk in client ***,according to the decomposition of the problem,the buffer update problem is modeled as an optimization problem,and the corresponding solution algorithms are ***,the simulation results show that the adaptive caching algorithm based on 5G intelligent edge and hierarchical buffer strategy can improve the user experience in the case of bandwidth fluctuations,and the proposed viewpoint prediction method can significantly improve the accuracy of viewpoint prediction by 15%.

关键词： Virtual reality Adaptive transmission Edge cache Buffer management 5G Mobile edge computing

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

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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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Urbanization Effect of Highways in the Pearl River Delta

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Journal of Landscape Research 2013年第Z3期5卷 8-12,15页

作者： CHEN Mingnan WANG Dongdong yu keping ZHANG Xin Shanghai Investigation Design & Research Institute

Based on TM images,ArcGIS and landscape ecology,4 typical roads in the Pearl River Delta are taken for example to analyze infl uence range of highway,and study the laws of highway construction infl uencing landscape patterns by reviewing landscape pattern changes in areas along the highways. According to the research,for yuebei Section(north Guangdong) of Beijing–Zhuhai Highway,road construction has signifi cant infl uence on landscape patterns of the 300-m wide buffer zone(especially woodland and urban land); for Foshan–Kaiping Highway,road construction has significant influence on landscape patterns of the 1,000-m wide buffer zone(especially woodland and agricultural land); for Dongguan–Shenzhen Highway,road construction has signifi cant infl uence on landscape patterns of the 8,000-m wide buffer zone(especially woodland and urban land).

关键词： Highway Landscape ecological pattern Landscape index GIS the Pearl River Delta

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中华人民共和国六十年政治发展的逻辑

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马克思主义与现实 2010年第1期62卷 21-35页

作者：俞可平中央编译局

中华人民共和国60年的政治发展是一个不可分割的延续过程,以1978年底的改革开放为界,前后经历了两个明显不同的阶段。比较这两个阶段的政治生活,可以清楚地看到新中国政治变迁的趋势,即从革命到改革,从斗争到和谐,从专政到民主,从人治... 详细信息

中华人民共和国60年的政治发展是一个不可分割的延续过程,以1978年底的改革开放为界,前后经历了两个明显不同的阶段。比较这两个阶段的政治生活,可以清楚地看到新中国政治变迁的趋势,即从革命到改革,从斗争到和谐,从专政到民主,从人治到法治,从集权到分权,从国家到社会。作者分析了新中国60年政治变迁的内在逻辑,总结了60年政治发展的经验教训,并对中国的政治模式和未来中国的政治改革作了简要的评论。

关键词：新中国政治发展政治改革政治模式

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社会公平和善治是建设和谐社会的两大基石

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中国特色社会主义研究 2005年第1期 10-15页

作者：俞可平中共中央编译局比较政治与经济研究中心

建设社会主义和谐社会,是全面建设小康社会的一项重大战略部署。它之所以在全社会引起强烈的共鸣,至少有两个方面的原因。一是,使社会变得更加和谐,这本来就是人类所追求的基本价值;二是,我们在社会和谐方面正面临着改革开放以来新的严... 详细信息

建设社会主义和谐社会,是全面建设小康社会的一项重大战略部署。它之所以在全社会引起强烈的共鸣,至少有两个方面的原因。一是,使社会变得更加和谐,这本来就是人类所追求的基本价值;二是,我们在社会和谐方面正面临着改革开放以来新的严重挑战。从公共治理的角度看,社会公平和善治是建设社会主义和谐社会的两块基石。社会公平就是社会的政治利益、经济利益和其他利益在全体社会成员之间合理而平等的分配,它意味着权利的平等、分配的合理、机会的均等和司法的公正。善治即是使公共利益最大化的社会管理过程和管理活动。善治的本质特征,就在于它是政府与公民生活的合作管理,是政治国家与公民社会的最佳关系。

关键词：公平善治和谐社会公共治理

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