检索结果-内蒙古大学图书馆

A Blockchain-Based Certificate system with Credit Self-Adjustment

Wuhan University Journal of Natural sciences 2023年第2期28卷 163-168页

作者： ZHOU Wang TAO Jun LI Xin School of Electronic Information Wuhan UniversityWuhan 430072HubeiChina State Key Lab of ASIC and System School of MicroelectronicsFudan UniversityShanghai 200433China Data Science Research Center Duke Kunshan UniversityKunshan 215316JiangsuChina

Currently,digital certificate systems based on blockchain have been extensively developed and ***,most of them do not take into account the certificate *** evaluate the credibility of certificates issued by educational institutions,we propose a novel blockchain-based system with credit self-adjustment(BC-CS).In BC-CS,employers can provide feedback according to the performances of their employees(i.e.,students)holding different *** on the feedback,BC-CS automatically adjusts the certificate credits by using our proposed credit self-adjustment *** verify the feasibility of our proposed system,a decentralized application prototype has been developed on an Ethereum *** results demonstrate that the proposed system can fully support multistep accreditation and automatic adjustment for certificate credit.

关键词： blockchain certificate credit self-adjustment

来源：评论

学校读者我要写书评

暂无评论

FIMD: Fusion-Inspired Modality Distillation for Enhanced MRI Segmentation in Incomplete Multi-Modal Scenarios 24

FIMD: Fusion-Inspired Modality Distillation for Enhanced MRI...

引用

7th International Conference on Image and Graphics Processing, ICIGP 2024

作者： Yang, Rui Wang, Xiao Xu, Xin Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology China School of Computer Science and Technology Wuhan University of Science and Technology China Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering Wuhan China

ISBN: (纸本)9798400716720

Magnetic Resonance Imaging (MRI) is an invaluable tool for brain tumor segmentation. However, in clinical practice, certain modalities might be unavailable, leading to potential performance degradation in prediction tasks. According to current implementations, different modalities are treated as independent entities during the feature extraction phase, ignoring their inherent complementary nature. In this paper, inspired by knowledge distillation techniques, we introduce the Fusion-Inspired Modality Distillation (FIMD) framework. FIMD leverages the output from a fused multi-modal model as a teacher to guide the training of individual modalities. Each modality benefits from the collective knowledge of all modalities, enhancing its performance. Our FIMD method, devoid of specific architectural constraints, seamlessly integrates into existing multi-modal brain tumor segmentation frameworks. Notably, extensive experiments on BraTS2020, BraTS2018, and BraTS2015 datasets indicate that FIMD can enhance the performance of current state-of-the-art (SOTA) algorithms on Dice by an average of 0.55-1.60%. Especially in the case of missing modalities, the effectiveness of the FIMD framework in enhancing the robustness and accuracy of brain tumor segmentation is demonstrated. © 2024 ACM.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Dynamic Spectrum Anti-Jamming with Distributed Learning and Transfer Learning

引用

China Communications 2023年第12期20卷 52-65页

作者： Xinyu Zhu Yang Huang Delong Liu Qihui Wu Xiaohu Ge Yuan Liu Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyNanjing University of Aeronautics and AstronauticsNanjing 210016China The 723 Institute of CSSC Yangzhou 225001China School of Electronic Information and Communications Huazhong University of Science and TechnologyWuhan 430074China School of Electronic and Information Engineering South China University of TechnologyGuangzhou 510641China

Physical-layer security issues in wireless systems have attracted great *** this paper,we investigate the spectrum anti-jamming(AJ)problem for data transmissions between *** fast-changing physical-layer jamming attacks in the time/frequency domain,frequency resources have to be configured for devices in advance with unknown jamming patterns(*** time-frequency distribution of the jamming signals)to avoid jamming signals emitted by malicious *** process can be formulated as a Markov decision process and solved by reinforcement learning(RL).Unfortunately,stateof-the-art RL methods may put pressure on the system which has limited computing *** a result,we propose a novel RL,by integrating the asynchronous advantage actor-critic(A3C)approach with the kernel method to learn a flexible frequency pre-configuration ***,in the presence of time-varying jamming patterns,the traditional AJ strategy can not adapt to the dynamic interference *** handle this issue,we design a kernelbased feature transfer learning method to adjust the structure of the policy function *** results reveal that our proposed approach can significantly outperform various baselines,in terms of the average normalized throughput and the convergence speed of policy learning.

关键词： A3C anti-jamming reinforcement learning spectrum transfer learning wireless system

来源：评论

学校读者我要写书评

暂无评论

Task Planning and Collaboration of Jellyfish-inspired Multiple Spherical Underwater Robots

引用

Journal of Bionic Engineering 2022年第3期19卷 643-656页

作者： Ruochen An Shuxiang Guo Yuanhua Yu Chunying Li Tendeng Awa Graduate School of Engineering Kagawa UniversityTakamatsuKagawa761-0396Japan Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information TechnologySchool of Life Science and TechnologyBeijing Institute of TechnologyBeijing100081China School of Life Science and Technology Changchun University of Science and TechnologyChangchun130022China

Task planning and collaboration of multiple robots have broad application prospects and value in the field of *** improve the performance and working efficiency of our Spherical Underwater Robot(SUR),we propose a multi-robot control strategy that can realize the task planning and collaboration of multiple *** complete real-time information sharing of multiple robots,we first build an acoustic communication system with excellent communication performance under low noise ratio ***,the task planning and collaboration control strategy adjust the SURs so that they maintain their positions in the desired formation when the formation *** SURs can move along desired trajectories in the expected *** control strategy of each SUR uses only its information and limited information of its neighboring ***,based on theoretical analysis and experiments,we evaluate the validity and reliability of the proposed *** comparison to the traditional leader–follower method,it is not necessary to designate a leader and its followers explicitly in our system;thus,important advantages,such as fault tolerance,are achieved.

关键词： Task planning Collaboration control Multiple spherical underwater robots(SUR) Shape keeping

来源：评论

学校读者我要写书评

暂无评论

Ultrafast flash memory with large self-rectifying ratio based on atomically thin MoS_(2)-channel transistor

引用

Materials Futures 2022年第2期1卷 153-162页

作者： Liwei Liu Yibo Sun Xiaohe Huang Chunsen Liu Zhaowu Tang Senfeng Zeng David Wei Zhang Shaozhi Deng Peng Zhou Frontier Institute of Chip and System Fudan UniversityShanghai 200433People’s Republic of China State Key Laboratory of ASIC and System School of MicroelectronicsFudan UniversityShanghai 200433People’s Republic of China State Key Laboratory of Optoelectronic Materials and Technologies Guangdong Province Key Laboratory of Display Material and TechnologySchool of Electronics and Information TechnologySun Yat-sen UniversityGuangzhou 510275People’s Republic of China

Flash memory with high operation speed and stable retention performance is in great demand to meet the requirements of big *** addition,the realisation of ultrafast flash memory with novel functions offers a means of combining heterogeneous components into a homogeneous device without considering impedance *** report proposes a 20 ns programme flash memory with 10^(8) self-rectifying ratios based on a 0.65 nm-thick MoS_(2)-channel transistor.A high-quality van der Waals heterojunction with a sharp interface is formed between the Cr/Au metal floating layer and h-BN tunnelling *** addition,the large rectification ratio and low ideality factor(n=1.13)facilitate the application of the MoS_(2)-channel flash memory as a bit-line select ***,owing to the ultralow MoS_(2)/h-BN heterojunction capacitance(50 fF),the memory device exhibits superior performance as a high-frequency(up to 1 MHz)sine signal *** results pave the way toward the potential utilisation of multifunctional memory devices in ultrafast two-dimensional NAND-flash applications.

关键词： ultra-fast flash memory metal floating gate atomic sharp interface atomic thin channel self-rectification transistor high-frequency rectifier

来源：评论

学校读者我要写书评

暂无评论

Coexisting Magnetism, Ferroelectric, and Ferrovalley Multiferroic in Stacking-Dependent Two-Dimensional Materials (vol 24, pg 3541, 2024)

引用

NANO LETTERS 2024年第17期24卷 5393-5394页

作者： Xun, Wei Wu, Chao Sun, Hanbo Zhang, Weixi Wu, Yin-Zhong Li, Ping State Key Laboratory for Mechanical Behavior of Materials Center for Spintronics and Quantum System School of Materials Science and Engineering Xi’an Jiaotong University Xi’an Shaanxi 710049 People’s Republic of China Faculty of Electronic Information Engineering Huaiyin Institute of Technology Huaian 223003 People’s Republic of China Department of Physics and Electronic Engineering Tongren University Tongren 554300 People’s Republic of China School of Physical Science and Technology Suzhou University of Science and Technology Suzhou 215009 People’s Republic of China State Key Laboratory for Surface Physics and Department of Physics Fudan University Shanghai 200433 China

Two-dimensional (2D) multiferroic materials have widespread application prospects in facilitating the integration and miniaturization of nanodevices. However, the magnetic, ferroelectric, and ferrovalley properties in one 2D material are rarely coupled. Here, we propose a mechanism for manipulating magnetism, ferroelectric, and valley polarization by interlayer sliding in a 2D bilayer material. Monolayer GdI2 is a ferromagnetic semiconductor with a valley polarization of up to 155.5 meV. More interestingly, the magnetism and valley polarization of bilayer GdI2 can be strongly coupled by sliding ferroelectricity, making these tunable and reversible. In addition, we uncover the microscopic mechanism of the magnetic phase transition by a spin Hamiltonian and electron hopping between layers. Our findings offer a new direction for investigating 2D multiferroic devices with implications for next-generation electronic, valleytronic, and spintronic devices.

关键词： two-dimensional multiferroic sliding ferroelectricity ferrovalley magnetic phase transition d-orbital hopping

来源：评论

学校读者我要写书评

暂无评论

Electronics based on two-dimensional materials:Status and outlook

引用

Nano Research 2021年第6期14卷 1752-1767页

作者： Senfeng Zeng Zhaowu Tang Chunsen Liu Peng Zhou State Key Laboratory of ASIC and System School of MicroelectronicsFudan UniversityShanghai200433China School of Computer Science Fudan UniversityShanghai200433China

Since Moore’s law in the traditional semiconductor industry is facing shocks,More Moore and More than Moore are proposed as two paths to maintain the development of the semiconductor industry by adopting new architectures or new materials,in which the former is committed to the continued scaling of transistors for performance enhancement,and the latter pursues the realization of functional diversification of electronic ***-dimensional(2D)materials are supposed to play an important role in these two *** More Moore,the ultimate thin thickness and the dangling-bond-free surface of 2D channels offer excellent gate electrostatics while avoiding the degradation of carrier mobility at the same time,so that the transistors can be further scaled down for higher *** More than Moore,devices based on 2D materials can well meet the requirements of electronic systems for functional diversity,like that they can operate at high frequency,exhibit excellent sensitivity to the changes in the surroundings at room temperature,have good mechanical flexibility,and so *** this review,we present the application of 2D materials in More Moore and More than Moore domains of electronics,outlining their potential as a technological option for logic electronics,memory electronics,radio-frequency electronics,sensing electronics,and flexible electronics.

关键词： More Moore More Than Moore two-dimensional materials transition metal dichalcogenides(TMDs)

来源：评论

学校读者我要写书评

暂无评论

Large circuit models: opportunities and challenges

引用

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

来源：评论

学校读者我要写书评

暂无评论

A Lightweight Semi-supervised Eye Semantic Segmentation Method Based on Iterative Learning 8

A Lightweight Semi-supervised Eye Semantic Segmentation Meth...

引用

2024 8th International Conference on Machine Vision and information technology, CMVIT 2024

作者： Qi, Ruochen Zhang, Guanghui Zhu, Dongchen Shi, Wenjun Zhang, Xiaolin Bionic Vision System Laboratory State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China University of Chinese Academy of Sciences Beijing100049 China School of Information Science and Technology ShanghaiTech University Shanghai201210 China

Eye semantic segmentation has a significant role in promoting biometric recognition. Most works improve the accuracy through designing complicated feature learning modules that usually require a high computation cost and are prone to over-fit. In this work, we propose a lightweight eye semantic segmentation method based on iterative learning, which only requires a small amount of labeled eye image data under visible light conditions. To be specific, we first propose a pseudo-label filtering strategy for eye semantic segmentation, which leverages a semi-supervised incremental learning technique to solve the problem of label scarcity. Besides, an attention-guided lightweight high-representation module is designed to boost precision while ensuring efficiency. Experiments on the Ubiris dataset show that the proposed method achieves state-of-the-art performance, with a mIoU of 86.18%. © Published under licence by IOP Publishing Ltd.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Robot trajectory planning for autonomous 3D reconstruction of cockpit in aircraft final assembly testing

引用

Chinese Journal of Aeronautics 2024年第3期37卷 332-350页

作者： Yanzhe WANG Zemin PAN Qian YANG Changxi DENG Yanding WEI The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China School of Information Science and Engineering NingboTech UniversityNingbo 315100China AVIC Xi’an Aircraft Industry(Group)Company Ltd. Xi’an 710089China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China

The trend towards automation and intelligence in aircraft final assembly testing has led to a new demand for autonomous perception of unknown cockpit operation scenes in robotic collaborative airborne system *** address this demand,a robotic automated 3D reconstruction cell which enables to autonomously plan the robot end-camera’s trajectory is developed for image acquisition and 3D modeling of the cockpit operation scene.A continuous viewpoint path planning algorithm is proposed that incorporates both 3D reconstruction quality and robot path quality into optimization *** metrics for viewpoint position paths and orientation paths are introduced together for the first time in 3D *** ensure safe and effective movement,two spatial constraints,Domain of View Admissible Position(DVAP)and Domain of View Admissible Orientation(DVAO),are implemented to account for robot reachability and collision *** using diffeomorphism mapping,the orientation path is transformed into 3D,consistent with the position *** orientation and position paths can be optimized in a unified framework to maximize the gain of reconstruction quality and path smoothness within DVAP and *** reconstruction cell is capable of automatic data acquisition and fine scene modeling,using the generated robot C-space *** and physical scene experiments have confirmed the effectiveness of the proposed method to achieve highprecision 3D reconstruction while optimizing robot motion quality.

关键词： Aircraft assembly testing Aircraft cockpit 3D modeling Camera viewpoint Robot trajectory planning

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：