检索结果-内蒙古大学图书馆

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Cao, Jin Shang, Chao Li, Zejian Luo, Yurong Lam, Kwok-Yan Chi, Chi-Hung Li, Hui State Key Laboratory of Intelligent Vehicle Safety Technology Chongqing401122 China Xidian University School of Cyber Engineering Xi'an710071 China Nanyang Technological University Digital Trust Center School of Computer Science and Engineering 639798 Singapore

ISBN: (纸本)9798350351255

Modern vehicles are equipped with ECU nodes and intra-vehicle buses. Among these, the CAN bus stands out as the most widely utilized intra-vehicle bus due to its affordability and straightforward deployment. However, the CAN bus suffers from significant security vulnerabilities, such as the absence of access control, identity authentication, message encryption, and authentication. In this paper, we propose a lightweight message-based key distribution scheme aimed at addressing these vulnerabilities. Our scheme facilitates mutual authentication during key distribution and assigns a unique key to each class of message. Formal verification using the Scyther tool demonstrates that our protocol achieves mutual authentication and effectively mitigates several protocol attacks, including replay, tampering, and manin-the-middle attacks. We evaluate our scheme using Arduino UNO boards. Performance analysis indicates that our scheme exhibits superior security capabilities compared to other related schemes and outperforms them in terms of communication and computation overheads. © 2024 IEEE.

关键词： Authentication Protocol

来源：评论

学校读者我要写书评

暂无评论

A Quaternion Two-Stream R-CNN Network for Pixel-Level Color Image Splicing Localization

引用

Chinese Journal of Electronics 2021年第6期30卷 1069-1079页

作者： CHEN Beijing JU Xingwang GAO Ye WANG Jinwei Engineering Research Center of Digital Forensics Ministry of Education Nanjing University of Information Science &Technology School of Computer Nanjing University of Information Science & Technology Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science & Technology

Recently, Zhou et al. designed a twostream faster Region-Convolutional neural networks(RCNN) model RGB-N for color image splicing localization in CVPR2018. However, the RGB-N locates spliced regions only at block-level and ignores the entirety and inherent correlation of three channels. Therefore, an improved quaternion two-stream R-CNN model is proposed to solve these drawbacks: a mask branch combining fully convolutional network and condition random field is added for locating spliced regions at pixel-level; quaternion representation of color images is used to process color spliced images in a holistical way. In addition, feature pyramid network based on quaternion residual network is considered to extract multi-scale features for color spliced images; attention region proposal network is combined with attention mechanism and is designed to pay more attention to the spliced regions; a high-pass filter designed for image splicing detection specifically is adopted to replace steganalysis rich model filter in the RGB-N to obtain noise input for the noise stream. Experimental results on a new synthetic dataset and three standard forgery datasets demonstrate that the proposed method is superior to the existing methods in the abilities of localization, generalization, and robustness.

关键词： quaternion residual network image classification feature extraction image splicing detection convolutional neural nets RGB-N block-level color spliced images steganalysis rich model filter spliced regions noise stream feature pyramid network image segmentation attention region proposal network quaternion two-stream R-CNN network improved quaternion two-stream R-CNN model two-stream faster region-convolutional neural networks image colour analysis quaternion representation fully convolutional network object detection pixel-level color image splicing localization

来源：评论

学校读者我要写书评

暂无评论

Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular–Structural–Functional Co-alterations

引用

Research 2024年第1期2023卷 471-487页

作者： Lin Jiang Yueheng Peng Runyang He Qingqing Yang Chanlin Yi Yuqin Li Bin Zhu Yajing Si Tao Zhang Bharat B.Biswal Dezhong Yao Lan Xiong Fali Li Peng Xu The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Life Science and Technology Center for Information in BioMedicineUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Psychology Xinxiang Medical UniversityXinxiang 453003China School of Science Xihua UniversityChengdu 610039China Department of Biomedical Engineering New Jersey Institute of TechnologyNewarkNJUSA School of Electrical Engineering Zhengzhou UniversityZhengzhou 450001China Research Unit of NeuroInformation Chinese Academy of Medical Sciences2019RU035ChengduChina Montreal Neurological Institute and Hospital McGill UniversityMontrealQCCanada Department of Electrical and Computer Engineering Faculty of Science and TechnologyUniversity of MacaoMacaoChina Radiation Oncology Key Laboratory of Sichuan Province 610041 ChengduChina Rehabilitation Center Qilu Hospital of Shandong UniversityJinan 250012China

Human cognition is usually underpinned by intrinsic structure and functional neural co-activation in spatially distributed brain *** to lacking an effective approach to quantifying the covarying of structure and functional responses,how the structural–functional circuits interact and how genes encode the relationships,to deepen our knowledge of human cognition and disease,are still ***,we propose a multimodal covariance network(MCN)construction approach to capture interregional covarying of the structural skeleton and transient functional activities for a single *** further explored the potential association between brain-wide gene expression patterns and structural–functional covarying in individuals involved in a gambling task and individuals with major depression disorder(MDD),adopting multimodal data from a publicly available human brain transcriptomic atlas and 2 independent *** analysis showed a replicable cortical structural–functional fine map in healthy individuals,and the expression of cognition-and disease phenotype-related genes was found to be spatially correlated with the corresponding MCN *** analysis of cell type-specific signature genes suggests that the excitatory and inhibitory neuron transcriptomic changes could account for most of the observed correlation with task-evoked MCN differences.

关键词： alterations evoked spatially

来源：评论

学校读者我要写书评

暂无评论

An energy-aware routing scheme based on a virtual relay tunnel in flying ad hoc networks

引用

Alexandria engineering Journal 2024年 91卷 249-260页

作者： Hosseinzadeh, Mehdi Ali, Saqib Mohammed, Adil Hussein Lansky, Jan Mildeova, Stanislava Yousefpoor, Mohammad Sadegh Yousefpoor, Efat Hassan Ahmed, Omed Rahmani, Amir Masoud Mehmood, Asif Institute of Research and Development Duy Tan University Da Nang Viet Nam School of Medicine and Pharmacy Duy Tan University Da Nang Viet Nam Department of Information Systems College of Economics and Political Science Sultan Qaboos University Al Khoudh Muscat Oman Department of Communication and Computer Engineering Faculty of Engineering Cihan University-Erbil Kurdistan Region Iraq Department of Computer Science and Mathematics Faculty of Economic Studies University of Finance and Administration Prague Czech Republic Department of Computer Engineering Dezful Branch Islamic Azad University Dezful Iran Department of Information Technology University of Human Development Sulaymaniyah Iraq Future Technology Research Center National Yunlin University of Science and Technology Yunlin Taiwan Department of Biomedical Engineering Gachon University Gyeonggi-do Seongnam-si13120 Korea Republic of

Flying ad hoc networks (FANETs) tackle diverse challenges, for example, dynamic topological structure, high mobility of nodes, low density, and energy restrictions. These challenges make problems in designing reliable and stable routing in FANETs. Hence, the design of a routing algorithm is essential for transferring data between drones. In this paper, an energy-aware routing scheme based on a virtual relay tunnel (EARVRT) is proposed in flying ad hoc networks. EARVRT includes a virtual relay tunnel (VRT) that manages relay nodes in the route discovery process and lowers network overhead. Moreover, three metrics, namely route energy, hop counts, and a new metric called path correlation are regarded in the path selection operation. Note that correlation is defined with regard to two scales, including the cosine similarity of two nodes and their distance. EARVRT is evaluated according to delay, network longevity, consumed energy, and packet delivery rate. Then, our scheme is compared with three methods, namely LoCaL, O-LAR, and PSO-GLFR. These results show the superiority and success of EARVRT in comparison with other algorithms. © 2024 The Author(s)

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Competition on robust deep learning

引用

National science Review 2023年第6期10卷 13-15页

作者： Yinpeng Dong Chang Liu Wenzhao Xiang Hang Su Jun Zhu Department of Computer Science and Technology Institute for AI Tsinghua-Bosch Joint ML Center THBI Lab BNRist Center Tsinghua University Institute of Image Communication and Networks Engineering in the Department of Electronic Engineering (EE) Shanghai Jiao Tong University Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Peng Cheng Laboratory Pazhou Laboratory (Huangpu)

PROBLEM In recent years,the rapid development of artificial intelligence (AI) technology,especially machine learning and deep learning, is profoundly changing human production and *** various fields,such as robotics,face recognition,autonomous driving and healthcare,AI is playing an important ***,although AI is promoting the technological revolution and industrial progress,its security risks are often *** studies have found that the wellperforming deep learning models are extremely vulnerable to adversarial examples [1-3].The adversarial examples are crafted by applying small,humanimperceptible perturbations to natural examples,but can mislead deep learning models to make wrong *** vulnerability of deep learning models to adversarial examples can raise security and safety threats to various realworld applications.

关键词： robustness adversarial example adversarial training deep learning

来源：评论

学校读者我要写书评

暂无评论

X-ray Image-Based COVID-19 Patient Detection Using Machine Learning-Based Techniques

引用

computer Systems science & engineering 2022年第11期43卷 671-682页

作者： Shabana Habib Saleh Alyahya Aizaz Ahmed Muhammad Islam Sheroz Khan Ishrat Khan Muhammad Kamil Department of Information Technology College of ComputerQassim UniversityBuraidah52571Saudi Arabia Department of Electrical Engineering College of Engineering&Information TechnologyOnaizah CollegesOnaizah51911Saudi Arabia Digital Image Processing Lab Islamia CollegePeshawar25120KPKPakistan Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electrical Engineering National University of Computer and Emerging SciencesPeshawarPakistan

In early December 2019,the city of Wuhan,China,reported an outbreak of coronavirus disease(COVID-19),caused by a novel severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).On January 30,2020,the World Health Organization(WHO)declared the outbreak a global pandemic *** the face of the COVID-19 pandemic,the most important step has been the effective diagnosis and monitoring of infected *** COVID-19 using Machine Learning(ML)technologies can help the health care unit through assistive diagnostic suggestions,which can reduce the health unit's burden to a certain *** paper investigates the possibilities of ML techniques in identifying/detecting COVID-19 patients including both conventional and exploring from chest X-ray images the effect of viral *** approach includes preprocessing,feature extraction,and ***,the features are extracted using the Histogram of Oriented(HOG)and Local Binary Pattern(LBP)feature ***,for the extracted features classification,six ML models of Support Vector Machine(SVM)and K-Nearest Neighbor(KNN)is *** results show that the diagnostic accuracy of random forest classifier(RFC)on extracted HOG plusLBP features is as high as 94%followed by SVM at 93%.The sensitivity of the K-nearest neighbour model has reached an accuracy of 88%.Overall,the predicted approach has shown higher classification accuracy and effective diagnostic *** is a highly useful tool for clinical practitioners and radiologists to help them in diagnosing and tracking the cases of COVID-19.

关键词： Image pre-processing detection classification x-ray images filter

来源：评论

学校读者我要写书评

暂无评论

A Self-Balanced Five-Level Buck PFC EV Rectifier 49

A Self-Balanced Five-Level Buck PFC EV Rectifier

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Agarwal, Ritika Jain, Anekant Gupta, Krishna Kumar Jain, Sanjay K. Bhatnagar, Pallavee Ibanez, Federico Martin Nikolovski, Srete Thapar Institute of Engineering & Technology Department of Electrical and Instrumentation Engineering Patiala India Manipal Institute of Technology Mahe Department of Mechatronics Manipal India Center for Energy Science and Technology Skolkovo Institute of Science and Technology Moscow Russia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Croatia

ISBN: (纸本)9798350331820

This paper introduces a new self-balancing buck PFC Multilevel Rectifier based on a five-level Switched Capacitors (SCs) architecture. The proposed design offers a broad range of output voltage, enabling operation with various loads and accommodating both single and double/dual output modes. Additionally, it ensures effective load voltage balancing, even when the both loads have different values. The rectifier functions in buck operation mode and provides extensive output voltage regulation, making it suitable for simultaneous electric vehicle (EV) battery charging. To evaluate the performance of proposed rectifier this paper explores the operating principle, modulation strategy, closed-loop control, and experimental validation with same and different load variation scenarios. © 2023 IEEE.

关键词： Rectifying circuits

来源：评论

学校读者我要写书评

暂无评论

Additively manufactured pure zinc porous scaffolds for critical-sized bone defects of rabbit femur

引用

Bioactive Materials 2023年第1期19卷 12-23页

作者： Dandan Xia Yu Qin Hui Guo Peng Wen Hong Lin Maximilian Voshage Johannes Henrich Schleifenbaum Yan Cheng Yufeng Zheng Department of Dental Materials Peking University School and Hospital of StomatologyBeijing100081China National Center of Stomatology National Clinical Research Center for Oral DiseasesNational Engineering Research Center of Oral Biomaterials and Digital Medical DevicesBeijing Key Laboratory of Digital StomatologyResearch Center of Engineering and Technology for Digital Dentistry Ministry of HealthNMPA Key Laboratory for Dental MaterialsBeijing100081China The State Key Laboratory of Tribology Tsinghua UniversityBeijing100084China Department of Mechanical Engineering Tsinghua UniversityBeijing100084China School of Materials Science and Engineering Peking UniversityBeijing100871China Digital Additive Production(DAP) RWTH Aachen University52074AachenGermany Biomed-X Center Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijing100871China

Additive manufacturing has received attention for the fabrication of medical implants that have customized and complicated *** Zn metals are revolutionary materials for orthopedic *** this study,pure Zn porous scaffolds with diamond structures were fabricated using customized laser powder bed fusion(L-PBF)***,the mechanical properties,corrosion behavior,and biocompatibility of the pure Zn porous scaffolds were characterized in *** scaffolds were then implanted into the rabbit femur critical-size bone defect model for 24 *** results showed that the pure Zn porous scaffolds had compressive strength and rigidity comparable to those of cancellous bone,as well as relatively suitable degradation rates for bone regeneration.A benign host response was observed using hematoxylin and eosin(HE)staining of the heart,liver,spleen,lungs,and ***,the pure Zn porous scaffold showed good biocompatibility and osteogenic promotion ability in *** study showed that pure Zn porous scaffolds with customized structures fabricated using L-PBF represent a promising biodegradable solution for treating large bone defects.

关键词： Additive manufacturing Laser powder bed fusion Scaffolds Pure Zn Critical-sized bone defect

来源：评论

学校读者我要写书评

暂无评论

Externally triggered drug delivery systems

引用

Smart Materials in Medicine 2024年第3期5卷 386-408页

作者： Hu, Huiyang Busa, Prabhakar Zhao, Yue Zhao, Chao Department of Chemical and Biological Engineering University of Alabama TuscaloosaAL35487 United States School of Computer Science College of Science Mathematics and Technology Wenzhou-Kean University Wenzhou China Center for Convergent Biosciences and Medicine University of Alabama TuscaloosaAL35487 United States

Externally triggered drug delivery systems empower patients or healthcare providers to utilize external stimuli to initiate drug release from implanted systems. This approach holds significant potential for clinical disease management, offering appealing features like enhanced patient adherence through the elimination of needles and medication reminders. Additionally, it facilitates personalized medicine by granting patients control over the timing, dosage, and duration of drug release. Moreover, it enables precise drug delivery to targeted locations where external stimuli are applied. Advances in materials science, nanotechnology, chemistry, and biology have been pivotal in driving the development of these systems. This review presents an overview of the progress in research on drug release systems responsive to external stimuli, such as light, ultrasound, magnetic fields, and temperature. It discusses the construction strategies of externally triggered drug delivery systems, the mechanisms governing triggered drug release, and their applications in disease management. © 2024 The Authors

关键词： Nanoclay

来源：评论

学校读者我要写书评

暂无评论

PSO-Based CI Agent with Learning Tool for Student Experience in Real-World Application 15th

PSO-Based CI Agent with Learning Tool for Student Experience...

引用

15th International Conference on Genetic and Evolutionary Computing, ICGEC 2023

作者： Lee, Chang-Shing Wang, Mei-Hui Chen, Chih-Yu Liang, Che-Chia Yang, Sheng-Chi Horng, Mong -Fong Department of Computer Science and Information Engineering National University of Tainan Tainan Taiwan Department of Engineering Science National Cheng Kung University Tainan Taiwan KWS Center National University of Tainan Tainan Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan

ISBN: (纸本)9789819994113

This paper proposes a particle swarm optimization (PSO)-based computational intelligence (CI) agent with learning tools for young students’ experience and learning CI application. The CI agent combines human languages that inspire fuzzy systems with machine languages based on PSO. CI, including fuzzy systems (FSs), evolutionary computation (EC), and neural networks (NNs), is an imperative branch of artificial intelligence (AI). As a core technology of AI, it plays a vital role in developing intelligent systems and agents. During the CI Sandbox Workshop and Competition at IEEE CEC 2023 in the USA and FUZZ-IEEE 2023 in Korea, we organized a workshop with an associated competition for young students to learn and experience CI using the CI&AI-FML learning tool with a PSO-based CI agent. First, young students receive learning materials and guidance from tutors to learn about CI-related basic concepts. Then, they are enabled to test the learned materials with the CI learning tool in a simple real-world application. Three experiments, including an advanced driver assistance system (ADAS) at IEEE CEC 2023, an intelligent agriculture system (IAS) as well as a smart greenhouse system (SGS) at FUZZ-IEEE 2023 were conducted in these two CI sandboxes to real-time collect data from the sensors of the CI&AI-FML learning tool and send them to the PSO-based CI agent to make inferences. Finally, the learning tool activates according to the inferred result of the CI agent for young students’ experience in real-world applications. In the future, we will extend the PSO-based CI agent with Quantum Computational Intelligence (QCI) to more countries for young students co-learning CI with smart machines. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Particle swarm optimization (PSO)

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：