检索结果-内蒙古大学图书馆

2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Mirzaee, Alireza Kordestani, Mojtaba Rueda, Luis Saif, Mehrdad Electrical Engineering Islamic Azad University Dariun Branch Shiraz Iran Electrical Engineering University of Windsor WindsorON Canada School of Computer Science University of Windsor WindsorON Canada

ISBN: (纸本)9798350337020

Conventional classification approaches for EEG- based emotion recognition cannot often adapt to different domains, such as cross-subject or cross-dataset scenarios, leading to poor performance. To handle this challenge, we introduce a novel fusion method using a combination of multiple domain adaptation techniques to improve the emotional states in EEG datasets via classification accuracy. For this aim, Our proposed approach exploits domain adaptation approaches such as Transfer Component Analysis (TCA), Correlation Alignment (CORAL), Transfer Joint Matching (TJM), Geodesic Flow Kernel (GFK), and Joint Distribution Adaptation (JDA), to enhance the overall classification performance. Later, a new fusion approach called Multiple Domain Adaptation based on a Neuro-Fuzzy Inference System (MDA-NF) is applied to combine the classifiers using proper fuzzy membership functions and deliver maximum separation between classes. The main contribution is by applying the fusion approach using MDA- NF technique, adaptability is sufficiently enhanced. Another advantage is to employ multiple adaptation techniques that improve separation between classes. In experimental test results conducted with cross-subject and cross-dataset scenarios, the MDA-NF approach demonstrates superior performance in terms of accuracy for both the valence and arousal aspects, as observed in two public DEAP and DREAMER datasets. © 2023 IEEE.

关键词： Cross-domain adaptation Domain adaptation EEG Emotion recognition fusion approaches

来源：评论

学校读者我要写书评

暂无评论

Deep Reinforcement Learning-Based Task Offloading and Service Migrating Policies in Service Caching-Assisted Mobile Edge Computing

引用

China Communications 2024年第4期21卷 88-103页

作者： Ke Hongchang Wang Hui Sun Hongbin Halvin Yang School of Computer Technology and Engineering Changchun Institute of TechnologyChangchun 130012China College of Computer Science and Engineering Changchun University of TechnologyChangchun 130012China Department of Electronic and Electrical Engineering University College LondonLondonUK

Emerging mobile edge computing(MEC)is considered a feasible solution for offloading the computation-intensive request tasks generated from mobile wireless equipment(MWE)with limited computational resources and *** to the homogeneity of request tasks from one MWE during a longterm time period,it is vital to predeploy the particular service cachings required by the request tasks at the MEC *** this paper,we model a service caching-assisted MEC framework that takes into account the constraint on the number of service cachings hosted by each edge server and the migration of request tasks from the current edge server to another edge server with service caching required by ***,we propose a multiagent deep reinforcement learning-based computation offloading and task migrating decision-making scheme(MBOMS)to minimize the long-term average weighted *** proposed MBOMS can learn the near-optimal offloading and migrating decision-making policy by centralized training and decentralized *** and comprehensive simulation results reveal that our proposed MBOMS can converge well after training and outperforms the other five baseline algorithms.

关键词： deep reinforcement learning mobile edge computing service caching service migrating

来源：评论

学校读者我要写书评

暂无评论

A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC) 2nd

A Novel Fuzzy Semi-supervised Learning Approach for the Cl...

引用

2nd International Conference on Applied Intelligence and Informatics, AII 2022

作者： Karim, Sara Patwary, Muhammed J. A. Hossain, Mohammad Shahadat Andersson, Karl Department of Computer Science and Engineering International Islamic University Chittagong Chittagong Bangladesh Department of Computer Science and Engineering University of Chittagong Chittagong Bangladesh Department of Computer Science Electrical and Space Engineering Lulea University of Technology Skelleftea Sweden

ISBN: (纸本)9783031248009

Colorectal Cancer (CRC) is a form of cancer that develops in the colon or rectum. It is also referred as bowel cancer, colon cancer, or rectal cancer. CRC has become the second most prevailing sort of cancer in the human race. But CRC until now remains linked to a poor diagnosis in patients with severe illness. The concern for early detection drew researchers’ consciousness to a variety of machine learning-based methods. Semi-Supervised Learning (SSL) clear up this challenge in an enhanced way than every alternative Machine learning approaches through incorporating vast quantities of labeled and unlabeled data to generate superior analysis method. The paper presents a novice fuzziness-based semi-supervised learning technique within colorectal cancer diagnosis in which it uses mislabeled data alongside training classified data to improve the model’s dependability. In accustomed to other classification models such as Support Vector Machine, Random tree, Linear Regression and others, the prediction performance using this strategy on the dataset exhibited remarkable breakthroughs in enhancing the classifier’s results. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

Error Analysis of Sommerfeld Integrals for Microstrip Antenna Problems 35

Error Analysis of Sommerfeld Integrals for Microstrip Antenn...

引用

35th General Assembly and Scientific Symposium of the International Union of Radio science, URSI GASS 2023

作者： Chatterjee, Deb Durbhakula, Kalyan C. Electrical and Computer Engineering School of Science and Engineering Umkc KC MO64110 United States Umkc KC MO64110 United States

ISBN: (纸本)9789463968096

Accuracy of computation for Sommerfeld integrals is examined for applications to microstrip geometries. In a numerical approach proposed earlier, the influence of the singularities in the integrand is obviated by deforming a small portion of the contour from the real axis to the 1st quadrant, thus avoiding the branch point and surface wave pole singularities in the 4th quadrant of the complex plane. The overall computational strategy comprises of numerical integration across the finite, deformed contour followed by a closedform evaluation of the tail part of the Sommerfeld integral. Given a specified a-priori error bound, a criterion for assessing the computational errors is developed here that restricts the maximum height of the deformed contour in the 1st quadrant. Preliminary numerical results included here suggest the validity of the method while also indicating that there is scope for augmenting this criterion for large values of lateral separations between the source and observation locations. © 2023 International Union of Radio science.

关键词： Microstrip antennas

来源：评论

学校读者我要写书评

暂无评论

Hyperbolic Pattern Detection in Ground Penetrating Radar Images Using Faster R-CNN 20

Hyperbolic Pattern Detection in Ground Penetrating Radar Ima...

引用

20th International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Srimuk, Pachara Boonpoonga, Akkarat Kaemarungsi, Kamol Athikulwongse, Krit Torrungrueng, Danai Chantasen, Nattawat King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand National Science and Technology Development Agency National Electronics and Computer Technology Center Pathumthani Thailand Department of Teacher Training in Electrical Engineering Bangkok Thailand Rajamangala University of Technology Phra Nakhon Faculty of Engineering Department of Computer Engineering Bangkok Thailand

ISBN: (纸本)9798350310467

This study presents the application of Faster RCNN, a popular Region Based Convolutional Neural Network, for detecting hyperbolic patterns in Ground Penetrating Radar (GPR) images. GPR is an important tool for subsurface imaging in various fields such as geology, archaeology, and engineering. However, the analysis of GPR images can be challenging due to noise, small objects, and variations in object sizes. To evaluate the performance of the proposed method, 369 simulated GPR B-scan images were generated using GprMax simulation software. These images included single, double, and triple hyperbolic patterns. The results showed that preprocessing improved the detection accuracy and led to higher Intersection over Union (IoU) scores. The experimental results demonstrate that Faster R-CNN is an effective tool for hyperbolic pattern detection in GPR images and provides a promising direction for future research in the field. © 2023 IEEE.

关键词： Ground penetrating radar systems

来源：评论

学校读者我要写书评

暂无评论

Machine Learning - Imaging Applications in Transport Systems: A Review

Machine Learning - Imaging Applications in Transport Systems...

引用

2023 IEEE International Conference on electrical, computer and Energy Technologies, ICECET 2023

作者： Adams, Adrian Abu-Mahfouz, Adnan M. Hancke, Gerhard P. University of Pretoria Department: Electrical Electronics and Computer Engineering Pretoria South Africa Pretoria South Africa City University of HongKong Department of Computer Science Kowloon Tong Hong Kong

ISBN: (纸本)9798350327816

Transport systems are fundamental to supporting economic growth, and the need for smarter, safer, more efficient and climate neutral transport systems continues to grow. Maintenance and operation of transport infrastructure is expensive and has many difficulties. In recent years, the application of machine learning to solve problems has been pursued with varying success rates. Many open problems still remain at this stage. This paper provides a review of deep learning applications in transport systems. Multiple deep learning applications are discussed e.g. railway safety, self-driving cars, pedestrian crossing and traffic light detection. Reviewed papers are evaluated in terms of challenges, contribution, weakness, research gaps. Key research questions for future study are proposed: performance optimization, data set improvement and the need for research on real-time performance on edge devices. © 2023 IEEE.

关键词： deep learning edge-devices neural network object detection railway safety self-driving transport systems

来源：评论

学校读者我要写书评

暂无评论

I know What You Sync: Covert and Side Channel Attacks on File Systems via syncfs

I know What You Sync: Covert and Side Channel Attacks on Fil...

引用

IEEE Symposium on Security and Privacy

作者： Cheng Gu Yicheng Zhang Nael Abu-Ghazaleh Department of Computer Science and Engineering University of California Riverside Department of Electrical and Computer Engineering University of California Riverside

ISBN: (数字)9798331522360

ISBN: (纸本)9798331522377

Operating Systems enforce logical isolation using abstractions such as processes, containers, and isolation tech-nologies to protect a system from malicious or buggy code. In this paper, we show new types of side channels through the file system that break this logical isolation. The file system plays a critical role in the operating system, managing all I/O activities between the application layer and the physical storage device. We observe that the file system implementation is shared, leading to timing leakage when using common I/O system calls. Specifically, we found that modern operating systems take advantage of any flush operation (which saves cached blocks in memory to the SSD or disk) to flush all of the I/O buffers, even those used by other isolation domains. Thus, by measuring the delay of syncfs, the attacker can infer the I/O behavior of victim programs. We then demonstrate a syncfs covert channel attack on multiple file systems, including both Linux native file systems and the Windows file system, achieving a maximum bandwidth of 5 Kbps with an error rate of 0.15% on Linux and 7.6 Kbps with an error rate of 1.9% on Windows. In addition, we construct three side-channel attacks targeting both Linux and Android devices. On Linux devices, we implement a website fingerprinting attack and a video fingerprinting attack by tracking the write patterns of temporary buffering files. On Android devices, we design an application fingerprinting attack that leaks application write patterns during boot-up. The attacks achieve over 90% F1 score, precision, and recall. Finally, we demonstrate that these attacks can be exploited across containers implementing a container detection technique and a cross-container covert channel attack.

关键词： Target tracking File systems Error analysis Operating systems Linux Side-channel attacks Fingerprint recognition Containers Streaming media Synchronization

来源：评论

学校读者我要写书评

暂无评论

CPS-DERMS: Cyber-Physical Security and Impact Analysis of DERMS Against MITM Attacks

CPS-DERMS: Cyber-Physical Security and Impact Analysis of DE...

引用

IEEE Green Technologies Conference (IEEE-Green)

作者： Sai Chandana Vallam Kondu Gelli Ravikumar Sathya Narayana Mohan Department of Electrical and Computer Engineering Computer Science Iowa State University Ames IA USA

ISBN: (数字)9798331520182

ISBN: (纸本)9798331520199

The growing integration of Distributed Energy Resources (DERs) into modern power grids, managed via DER Management Systems (DERMS), has introduced significant cybersecurity challenges. Communication vulnerabilities in DERMS architecture create opportunities for adversarial attacks, such as Man-in-the-Middle (MITM), that intercept and manipulate critical data flows, disrupting grid operations and compromising reliability. This paper investigates MITM attacks targeting three critical nodes in DER-DERMS communication: (i) DER gateway routers, (ii) inter-router pathways, and (iii) DERMS gateway routers. To analyze these vulnerabilities, we developed CPS-DERMS, a multi-co-simulation hardware-in-the-loop testbed integrating grid-side simulations with OPAL-RT, large-scale cyber simulations using NS-3, and an indige-nous Python-based DERMS platform. The study demonstrates innovative strategies for executing MITM attacks, including maintaining payload integrity and bypassing detection mechanisms, while highlighting the critical vulnerabilities within DER-DERMS communication systems. We considered a real utility's DER-integrated distribution grid as a case study. Experimental results reveal that MITM attacks can cause overvoltages, reactive power imbalances, and increased tap-changer operations, significantly degrading power quality and grid reliability.

关键词： Reactive power Analytical models Power quality Logic gates Power system reliability Distributed power generation Smart grids Reliability Surges Resilience

来源：评论

学校读者我要写书评

暂无评论

Multiple Target Tracking Using a UAV Swarm in Maritime Environments

arXiv

引用

arXiv 2025年

作者： Anastasiou, Andreas Papaioannou, Savvas Kolios, Panayiotis Panayiotou, Christos G. Cyprus Department of Electrical and Computer Engineering Cyprus Department of Computer Science University of Cyprus Cyprus

Nowadays, unmanned aerial vehicles (UAVs) are increasingly utilized in search and rescue missions, a trend driven by technological advancements, including enhancements in automation, avionics, and the reduced cost of electronics. In this work, we introduce a collaborative model predictive control (MPC) framework aimed at addressing the joint problem of guidance and state estimation for tracking multiple castaway targets with a fleet of autonomous UAV agents. We assume that each UAV agent is equipped with a camera sensor, which has a limited sensing range and is utilized for receiving noisy observations from multiple moving castaways adrift in maritime conditions. We derive a nonlinear mixed integer programming (NMIP) -based controller that facilitates the guidance of the UAVs by generating non-myopic trajectories within a receding planning horizon. These trajectories are designed to minimize the tracking error across multiple targets by directing the UAV fleet to locations expected to yield targets measurements, thereby minimizing the uncertainty of the estimated target states. Extensive simulation experiments validate the effectiveness of our proposed method in tracking multiple castaways in maritime environments. © 2025, CC BY-NC-SA.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Globally Stable Neural Imitation Policies

Globally Stable Neural Imitation Policies

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Amin Abyaneh Mariana Sosa Guzmán Hsiu-Chin Lin Department of Electrical and Computer Engineering McGill University Montreal Canada Department of Electrical and Computer Engineering Universidad Veracruzana Veracruz Mexico Department of Electrical and Computer Engineering School of Computer Science McGill University Montreal Canada

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Imitation learning mitigates the resource-intensive nature of learning policies from scratch by mimicking expert behavior. While existing methods can accurately replicate expert demonstrations, they often exhibit unpredictability in unexplored regions of the state space, thereby raising major safety concerns when facing perturbations. We propose SNDS, an imitation learning approach aimed at efficient training of scalable neural policies while formally ensuring global stability. SNDS leverages a neural architecture that enables the joint training of the policy and its associated Lyapunov candidate to ensure global stability throughout the learning process. We validate our approach through extensive simulations and deploy the trained policies on a real-world manipulator arm. The results confirm SNDS’s ability to address instability, accuracy, and computational intensity challenges highlighted in the literature, positioning it as a promising solution for scalable and stable policy learning in complex environments.

关键词： Training Perturbation methods Imitation learning computer architecture Reliability theory Manipulators Stability analysis

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：