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A Blockchain-Based Covert Communication Model Based on Dynamic Base-K Encoding

China Communications 2025年第6期22卷 319-333页

作者： Wang Zhujun Zhang Lejun Li Xueqing Tian Zhihong Su Shen Qiu Jing Chen Huiling Qiu Tie Sergey Gataullin Guo Ran College of Information Engineering Yangzhou UniversityYangzhou 225127China Cyberspace Institute Advanced Technology Guangzhou UniversityGuangzhou 510006China Research and Development Center for E-Learning Ministry of EducationBeijing 100039China Quanzhou Normal University Quanzhou 362000China Pazhou Lab Guangzhou 510330China College of Information Engineering Yangzhou Polytechnic InstituteYangzhou 225127China Department of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou 325035China College of Intelligence and Computing Tianjin UniversityTianjin 300072China MIREA–Russian Technological University Moscow 119991Russia Guangzhou University Library Guangzhou UniversityGuangzhou 510006China

Blockchain,as a distributed ledger,inherently possesses tamper-resistant capabilities,creating a natural channel for covert ***,the immutable nature of data storage might introduce challenges to communication *** study introduces a blockchain-based covert communication model utilizing dynamic Base-K *** proposed encoding scheme utilizes the input address sequence to determine K to encode the secret message and determines the order of transactions based on K,thus ensuring effective concealment of the *** dynamic encoding parameters enhance flexibility and address issues related to identical transaction amounts for the same secret *** results demonstrate that the proposed method maintains smooth communication and low susceptibility to tampering,achieving commendable concealment and embedding rates.

关键词： base-K encoding blockchain concealment covert communication

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Study on tensile stress-induced giant magnetoimpedance effects in flexible amorphous ribbon meanders

Study on tensile stress-induced giant magnetoimpedance effec...

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2023 International Conference on Electronic Materials and Information Engineering, EMIE 2023

作者： Yang, Zhen Liu, Mengyu Meng, Ziqin Wang, Zhenbao Sun, Xuecheng Guo, Yongbin Huang, Yong School of Electronic and Information Engineering School of Integrated Circuits Guangxi Normal University Guangxi Guilin541004 China Education Department of Guangxi Zhuang Autonomous Region Guangxi Guilin541004 China Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips School of Electronic and Information Engineering Guangxi Normal University Guilin541004 China Microelectronic Research & Development Center School of Mechatronics Engineering and Automation Shanghai University Shanghai200884 China Key Laboratory of UWB & THz of Shandong Academy of Sciences Institute of Automation Qilu University of Technology Shandong Academy of Sciences Jinan250014 China Xidian-Wuhu Research Institute Anhui Wuhu241000 China

ISBN: (纸本)9781510671331

Micropatterned Co-based amorphous ribbon meanders were prepared by MEMS technology on the flexible PET substrate. Different holders with varying arch heights were fabricated through 3D printing technology and used for carrying out tensile stresses. The giant magnetoimpedance (GMI) ratio was investigated under different tensile stress inductions (0~88 MPa). The results indicate that the GMI ratio of the flexible ribbon meanders is significantly impacted due to presence of tensile stress. As tensile stress increases, the GMI ratio first increases and then decreases. The maximum GMI ratio of 28.38% is achieved at a tensile stress level of 11 MPa. Additionally, the peak field gradually approaches zero as stress increases. When tensile stress increases from 0 MPa to 88 MPa, the peak field is shifted by 10.59 Oe. © 2023 SPIE · 0277-786X ·

关键词： Tensile stress

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可持续发展情景下丝绸之路沿线国家土地利用及其对陆地碳库影响

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Science Bulletin 2023年第7期68卷 740-749页

作者：曹敏田雅吴凯陈旻陈玉胡雪孙中昶左丽君林键骆磊朱瑞许振赐 Temenoujka Bandrova Milan Konecny 袁文平郭华东林珲闾国年 Key Laboratory of Virtual Geographic Environment Ministry of EducationNanjing Normal UniversityNanjing 210023China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China School of Geography and Environment Jiangxi Normal UniversityNanchang 330022China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China The Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen 518034China Sierra Nevada Research Institute University of CaliforniaMerced CA 95348USA Institute of High Performance Computing Agency for ScienceTechnology and ResearchSingapore 138632Singapore Department of Geography the University of Hong KongHong Kong 999077China Laboratory on Cartography University of ArchitectureCivil Engineering and GeodesySofia 1164Bulgaria Laboratory on Geoinformatics and Cartography Institute of GeographyMasaryk UniversityBrno 60177Czech Republic School of Atmospheric Sciences Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Sun Yat-sen UniversityZhuhai 519082China Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of EducationJiangxi Normal UniversityNanchang 330022China

可持续发展目标(SDGs)呼吁全世界共同采取行动,促进繁荣并保护地球.本研究面向SDGs构建了环境、粮食和经济等可持续发展情景,预测2020~2030年丝绸之路沿线国家的土地利用变化,并分析其对陆地碳库的影响。研究表明:未来土地利用变化及其... 详细信息

可持续发展目标(SDGs)呼吁全世界共同采取行动,促进繁荣并保护地球.本研究面向SDGs构建了环境、粮食和经济等可持续发展情景,预测2020~2030年丝绸之路沿线国家的土地利用变化,并分析其对陆地碳库的影响。研究表明:未来土地利用变化及其对陆地碳库的影响在不同情景下存在显著差异。在可持续环境情景下,林地得到了有效保护,相较于2020年中国林地碳储量增加了约0.60%;在可持续粮食情景下,耕地流失得到了缓解,尤其在南亚及东南亚地区的耕地面积呈现上升趋势:在可持续经济情景下,城市扩张速度加快,引起的碳损失量最多这项研究有助于推进丝绸之路沿线甚至全球可持续发展进程,为探寻可持续发展路径提供了科学依据。

关键词： Sustainable development goals(SDGs) Land-use projection Carbon pool Scenarios System dynamics model Cellular automata

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Post-Quantum Blockchain over Lattice

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Computers, Materials & Continua 2020年第5期63卷 845-859页

作者： Xiao Zhang Faguo Wu Wang Yao Wenhua Wang Zhiming Zheng School of Mathematics and Systems Science Beihang Universityand Key Laboratory of MathematicsInformatics and Behavioral SemanticsMinistry of EducationBeijing100191China Peng Cheng Laboratory Shenzhen518055China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang UniversityBeijing100191China Aviation Industry Development Research Center of China BeijingChina

Blockchain is an emerging decentralized architecture and distributed computing paradigm underlying Bitcoin and other cryptocurrencies,and has recently attracted intensive attention from governments,financial institutions,high-tech enterprises,and the capital *** cryptographic security relies on asymmetric cryptography,such as ECC,***,with the surprising development of quantum technology,asymmetric cryptography schemes mentioned above would become ***,lattice-based cryptography scheme was proposed to be secure against attacks in the quantum *** 2018,with the aid of Bonsai Trees technology,Yin et al.[Yin,Wen,Li et al.(2018)]proposed a lattice-based authentication method which can extend a lattice space to multiple lattice spaces accompanied by the corresponding *** their scheme has theoretical significance,it is unpractical in actual situation due to extremely large key size and signature *** this paper,aiming at tackling the critical issue of transaction size,we propose a post quantum blockchain over *** using SampleMat and signature without trapdoor,we can reduce the key size and signature size of our transaction authentication approach by a significant *** of using a whole set of vectors as a basis,we can use only one vector and rotate it enough times to form a *** on the hardness assumption of Short Integer Solution(SIS),we demonstrate that the proposed anti-quantum transaction authentication scheme over lattice provides existential unforgeability against adaptive chosen-message attacks in the random *** compared to the Yin et al.[Yin,Wen,Li et al.(2018)]scheme,our scheme has better performance in terms of energy consumption,signature size and signing key *** the underlying lattice problem is intractable even for quantum computers,our scheme would work well in the quantum age.

关键词： Blockchain post quantum lattice random oracle

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Robots in aquatic environments to promote STEM and environmental awareness

Robots in aquatic environments to promote STEM and environme...

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OCEANS

作者： Liljana Puškar Ana Sović Kržić David Scaradozzi Anastasia Nancy Pyrini Nicoletta Pantela Panagiotis Kosmas Daniele Costa Laura Screpanti Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Dipartimento di Ingegneria Dell’Informazione Università Politecnica Delle Marche Ancona Italy University of the Agean Rhodes Greece Education Department CARDET Nicosia Cyprus School of Education Center for the Advancment of Research & Development in Educational Technology Nicosia Cyprus AnCybernetics Università Politecnica Delle Marche Ancona Italy Dipartimento di Ingegneria Dell’Informazione Università Politecnica Delle Marche

educational robotics programs promote interdisciplinary education, allowing students to experience how different fields of study can interact and complement each other. The aims of the presented methodology are to introduce learning about robotics in aquatic environments from an early age. The robotic aquarium called "RoboAquaria" is an innovative tool integrating marine and educational robotics to teach STEAM topics and environmental education. The SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) methodology is adopted to achieve specific learning objectives in a structured manner. The teaching methodology includes hands-on, task-based, interdisciplinary, game-based, and personalized learning to engage students and develop their problem-solving, critical thinking, collaborative, and practical skills. The created modules will promote the necessary skills, e.g. soft, green, transversal, through an educational robotics program. Additionally, this will strengthen the links between academia and K12 education, reinforce structured and continued collaboration, encourage sustainable and circular approaches in the blue economy, and facilitate talent retention and mobility in the blue economy.

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Robust phase estimation of the ground-state energy without controlled time evolution on a quantum device

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Physical Review A 2025年第4期111卷 042618-042618页

作者： Hiroki Kuji Yuta Shingu Tetsuro Nikuni Takashi Imoto Kenji Sugisaki Yuichiro Matsuzaki Department of Physics Tokyo University of Science1-3 Kagurazaka Shinjuku Tokyo 162-8601 Japan Department of Electrical Electronic and Communication Engineering Faculty of Science and Engineering Chuo University Tokyo Japan Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT) AIST Central2 1-1-1Umezono Tsukuba Ibaraki 305-8568 Japan Graduate School of Science and Technology Keio University 7-1 Shinkawasaki Saiwai-ku Kawasaki Kanagawa 212-0032 Japan Quantum Computing Center Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama Kanagawa 223-8522 Japan Keio University Sustainable Quantum Artificial Intelligence Center (KSQAIC) Keio University 2-15-45 Mita Minato-ku Tokyo 108-8345 Japan Centre for Quantum Engineering Research and Education TCG Centres for Research and Education in Science and Technology Sector V Salt Lake Kolkata 700091 India

Estimating the ground-state energy of Hamiltonians in quantum systems is an important task. In this work, we demonstrate that the ground-state energy can be accurately estimated without controlled time evolution by using adiabatic state preparation (ASP) and Ramsey-type measurement. By considering the symmetry of the Hamiltonian governing the time evolution during ASP, we can prepare a superposition of the ground state and reference state whose eigenvalue is known. This enables the estimation of the ground-state energy via a Ramsey-type measurement. Furthermore, our method is robust against nonadiabatic transitions, making it suitable for use with early fault-tolerant quantum computers and quantum annealing.

关键词： Qubits

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Multiproperty Deep Learning of the Correlation Energy of Electrons and the Physicochemical Properties of Molecules

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Journal of chemical theory and computation 2025年第12期21卷 2025 Jun 10页

作者： Yan Yuan Yilin Zhao Linling Lu Junjie Wang Jingbo Chen Shubin Liu Paul W Ayers Dongbo Zhao Institute of Biomedical Research Yunnan University Kunming Yunnan 650500 China. School of Chemical Science and Technology Yunnan University Kunming Yunnan 650500 China. Key Laboratory of Medicinal Chemistry for Natural Resource Ministry of Education Yunnan Key Laboratory of Research & Development for Natural Products School of Pharmacy Yunnan University Kunming Yunnan 650500 China. Department of Chemistry and Chemical Biology McMaster University Hamilton ONL8S4M1 Canada. Research Computing Center University of North Carolina Chapel Hill North Carolina 27599-3420 United States. Department of Chemistry University of North Carolina Chapel Hill North Carolina 27599-3290 United States.

The density-based descriptors from the information-theoretic approach (ITA) are used as features for multiproperty deep learning (DL), predicting the correlation energy and physicochemical properties of molecules. In addition to response properties (molecular polarizability α and NMR shielding constant σ) where ITA has been shown to work well before, we consider four conceptually distinct but practically related concepts: electron correlation, redox potential, octanol-water partition coefficient (log), and the wavelength of maximum absorption (λ). The DL-predicted results are in good agreement with either the calculated or experimental counterparts, indicative of the model's robustness. We verified the transferability of redox potentials of phenazine derivatives. Generalizability is observed for the λ data: small chromophores are used for training/validation but the test set has sizable molecules. The trained DL model outperforms the conventional TD-DFT method in terms of accuracy and efficiency. We also showcase that the isotropic quadrupole moment (Θ) is a good predictor of log. This establishes that versatile density-based ITA quantities can be used to make accurate, low-cost predictions of both extensive and intensive properties, suggesting that this ITA-DL protocol has the potential for closed-loop chemistry automation. Implication of this work is straightforward, that a universal framework should be possible based on the ITA-based DL models.

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Erratum - Modeling for Improved Performance of Ultra-Fast Nonvolatile Toggle Spin Torque MRAM Bit-Cell (SPIN (2022) 12(2):2250013 DOI: 10.1142/S2010324722500138)

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SPIN 2022年第3期12卷

作者： Jain, Divyansh Dahiya, Sunil Verma, Gaurav Department of VLSI Design Center for Development of Advanced Computing Punjab Mohali 160071 India Department of Physical Sciences Indian Institute of Science Education and Research Punjab Mohali 140306 India Department of Electronics and Communication Engineering Indian Institute of Technology Uttarakhand Roorkee 247667 India

Incorrect author list: Divyansh Jain, Sunil Dahiya and Gaurav Verma Correct author list: Divyansh Jain and Sunil Dahiya All the co-authors are aware of the updated list of authors, to which the Publisher is not liable to be responsible for any future dispute on the authorship of the paper. © 2022 World Scientific Publishing Co. Pte Ltd. All rights reserved.

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Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li Fang Wang Sabine Grunwald Bryan MWong Fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

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Magnetic Properties and Giant Magnetoimpedance Effect of Carbon and Fecoga Nanolayer Coated Co-Based Amorphous Composite Ribbons

SSRN

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SSRN 2023年

作者： Yang, Zhen Liu, Mengyu Sun, Xuecheng Wang, Zhenbao Shen, Yuanwei Zhu, Mengjiao Lei, Chong Guo, Yongbin School of Electronic and Information Engineering School of Integrated Circuits Guangxi Normal University Guangxi Guilin541004 China Education Department of Guangxi Zhuang Autonomous Region Guangxi Guilin541004 China Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips School of Electronic and Information Engineering Guangxi Normal University Guilin541004 China Microelectronic Research & Development Center School of Mechatronics Engineering and Automation Shanghai University Shanghai200444 China Guangxi Normal University China Jinan250014 China

In this paper, the influence of carbon and FeCoGa nano-coating layer on the roughness, magnetic properties and giant magneto-impedance (GMI) effect of amorphous composite ribbons were systematically investigated. The FeCoGa layer is able to close the magnetic flux path and reduce the coercivity. The carbon nanolayer effectively tune the characteristic frequency and GMI ratio of composite ribbons. When the thickness of carbon is 60 nm, amorphous composite ribbons exhibit small roughness of 9.78 nm, dipole interaction of 3.4 Oe, a maximum value of GMI ratio of 41% at 2MHz, which superior to the bare as-cast ribbon and FeCoGa coated composite ribbon. The results show that a reasonable combination of carbon layer and FeCoGa soft magnetic nanolayer can improve the GMI effect and magnetic field sensitivity of the ribbons, demonstrating the potential of the composite for future bio-detection and energy sensing applications. © 2023, The Authors. All rights reserved.

关键词： Cobalt alloys

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