检索结果-内蒙古大学图书馆

IEEE International Symposium on Information Theory

作者： Dror Freirich Nir Weinberger Ron Meir Viterbi Faculty of Electrical and Computer Engineering Technion - Israel Institute of Technology

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

Whenever inspected by humans, reconstructed signals should not be distinguished from real ones. Typically, such a high perceptual quality comes at the price of high reconstruction error, and vice versa. We study this distortion-perception (DP) tradeoff over finite-alphabet channels, for the Wasserstein-l distance induced by a general metric as the perception index, and an arbitrary distortion matrix. Under this setting, we show that computing the DP function and the optimal reconstructions is equivalent to solving a set of linear programming problems. We provide a structural characterization of the DP tradeoff, where the DP function is piecewise linear in the perception index. We further derive a closed-form expression for the case of binary sources.

关键词： Measurement Closed-form solutions Linear programming Distortion Indexes Information theory

来源：评论

学校读者我要写书评

暂无评论

Aircraft Anti-Skid Braking Nonlinear Control Based on ADRC

Aircraft Anti-Skid Braking Nonlinear Control Based on ADRC

引用

International Conference on Applied Nonlinear Dynamics, Vibration, and Control, ICANDVC 2023

作者： Yu, FengRui Zou, Jingting Chen, Xinmin Lin, Yue Yu, Feifan Ningbo Institute of Materials Technology & Engineering CAS Ningbo315201 China University of Chinese Academy of Sciences Beijing101408 China Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China

ISBN: (纸本)9789819705535

An efficient and safe landing procedure for an aircraft holds significance across economic, operational, and strategic considerations. Achieving the shortest possible landing distance without skidding necessitates a variable braking force that consistently matches the friction force. Thus, the control strategy of the Anti-skid Braking System (ABS) must encompass the ability to address pronounced nonlinearity and substantial unpredictable disturbances, while also regulating the wheel slip ratio to ensure a stable braking process. This study introduces the application of the Active Disturbance Rejection Control Technique to the anti-skid braking system. The proposed control algorithm guarantees that the closed-loop system operates within the vicinity of the peak point of the stable region on the friction curve. This optimization significantly enhances both braking performance and overall safety. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Aircraft

来源：评论

学校读者我要写书评

暂无评论

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance

引用

Neural Computing and Applications 2024年第30期36卷 18979-18997页

作者： Natarajan, Krishnamoorthy Muthusamy, Suresh Sha, Mizaj Shabil Sadasivuni, Kishor Kumar Sekaran, Sreejith Charles Gnanakkan, Christober Asir Rajan A.Elngar, Ahmed School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore India Tamil Nadu Perundurai Erode India Centre for Advanced Materials Qatar University Doha Qatar Department of Mechanical and Industrial Engineering Qatar University PO Box 2713 Doha Qatar Department of Electrical Engineering National Institute of Technology Assam Silchar India Department of Electrical and Electronics Engineering Puducherry Technological University Puducherry India Faculty of Computers and Artificial Intelligence Beni-Suef University Beni-Suef City62511 Egypt

A disease is a distinct abnormal state that significantly affects the functioning of all or part of an individual and is not caused by external harm. Diseases are frequently understood as medical conditions connected with distinct indications and symptoms. According to a fairly wide categorization, diseases can also be categorized as mental disorders, deficient diseases, genetic diseases, degenerative diseases, self-inflicted diseases, infectious diseases, non-infectious diseases, social diseases, and physical diseases. Prevention of the diseases is of multiple instances. Primary prevention seeks to prevent illness or harm before it ever happens. Secondary prevention tries to lessen the effect of an illness or damage that has already happened. This is done through diagnosing and treating illness or injury as soon as feasible to stop or delay its course, supporting personal ways to avoid recurrence or reinjury, and implementing programs to restore individuals to their previous health and function to prevent long-term difficulties. Tertiary prevention tries to lessen the impact of a continuing sickness or injury that has enduring repercussions. Diagnosis of the disease at an earlier stage is important for the treatment of the disease. Hence, in this study, deep learning algorithms, such as VGG16, EfficientNetB4, and ResNet, are utilized to diagnose various diseases, such as Alzheimer's, brain tumors, skin diseases, and lung diseases. Chest X-rays, MRI scans, CT scans, and skin lesions are used to diagnose the mentioned diseases. Transfer learning algorithms, such as VGG16, VGG19, ResNet, InceptionV3, and EfficientNetB4, are utilized to categorize various diseases. EfficientNetB4 with the learning rate annealing, having obtained an accuracy of 94.04% on the test dataset, is observed. As a consequence, we observed that every network has unique particular skills on the multi-disease dataset, which includes chest X-rays, MRI scans, etc., © The Author(s) 2024.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

Asymmetric Modulated Predictive Current Control for Dual Three-Phase PMSM With Improved Performance 10

Asymmetric Modulated Predictive Current Control for Dual Thr...

引用

10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Li, Ze Zheng, Xingyu Xia, Jinhui Liu, Hangan Gao, Xiaonan Rodriguez, Jose Wang, Liling Zhang, Zhaoyan Liu, Zhiheng Hebei University College of Electronic and Information Engineering China Southeast University School of Automation China Kth Royal Institute of Technology School of Electrical Engineering and Computer Science Sweden Universidad San Sebastian Faculty of Engineering Chile

ISBN: (纸本)9798350351330

Dual three-phase PMSM (DTP-PMSM) has gained significant attention benefiting from their exceptional reliability and high torque density. However, DTP-PMSM exhibits poor steady-state performance and large calculation amount with the conventional finite-control-set predictive current control. To address these concerns, an asymmetric modulated predictive current control (AM-PCC) for DTP-PMSM is presented. Therein, the three-phase decomposition and deadbeat control scheme are combined to eliminate the weighting factor and optimize the execution efficiency. An asymmetric modulation strategy is presented and integrated into PCC to reduce the current harmonics and switching frequency. Extensive simulation tests are conducted to demonstrate the effectiveness of the proposed AM-PCC scheme. © 2024 IEEE.

关键词： Synchronous motors

来源：评论

学校读者我要写书评

暂无评论

An Enhanced Keylogger Detection Systems Using Recurrent Neural Networks Enabled with Feature Selection Model 7th

An Enhanced Keylogger Detection Systems Using Recurrent Neur...

引用

7th International Conference on Communication, Device and Networking, ICCDN 2024

作者： Awotunde, Joseph Bamidele Sur, Samarendra Nath Imoize, Agbotiname Lucky Rodríguez, Demóstenes Zegarra Akanji, Boluwatife Department of Computer Science Faculty of Information and Communication Sciences University of Ilorin Kwara State Ilorin240003 Nigeria Department of Electronics and Communication Engineering Sikkim Manipal Institute of Technology Sikkim Manipal University Sikkim India Department of Electrical and Electronics Engineering Faculty of Engineering University of Lagos Akoka Lagos 100213 Nigeria Department of Electrical Engineering and Information Technology Institute of Digital Communication Ruhr University Bochum44801 Germany Department of Computer Science Federal University of Lavras Minas Gerais Lavras Brazil

ISBN: (纸本)9789819764648

Keyloggers are malicious software programs that record keystrokes of users without their consent or knowledge. They can steal sensitive information like credit card numbers and passwords. They pose a significant threat to users’ privacy and security since they capture keystroke data. Keylogger detection systems play a vital role in safeguarding users from cyberattacks and mitigating the potential harm caused by keyloggers. Keylogger detection systems employing deep learning have been widely used for identifying and mitigating cyber threats associated with keyloggers. However, they struggle to identify new or unfamiliar keylogger samples. This study aims to explore deep learning techniques with feature selection model to detect keylogger. This study employs Recurrent Neural Networks (RNNs) using a collection of known keylogger dataset. Furthermore, a correlation-based feature extraction method was applied to identify the most relevant features for the model, highlighting the importance of specific features, such as URG flag Count, ACK flag count, and Idle Mean, in differentiating between benign and keylog classes. The proposed model demonstrates superior accuracy of 0.8763 and precision of 0.8569 compared to a baseline model using Logistic Regression (LR) 0.7721 and 0.7407, respectively, indicating a better balance between accurate classification and minimizing false negatives and false positives. The findings from this study help to improve keylogger detection methods, making them more powerful and efficient. These results suggest that a keylogger-based detection system employing a deep learning approach can be a valuable tool for addressing the complex and evolving landscape of cyber threats related to keylogging. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Geometrical Bounds on the Capacity of the Binary Bipolar Input AWGN Channel

Geometrical Bounds on the Capacity of the Binary Bipolar Inp...

引用

IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, COMCAS

作者： Michael Peleg Shlomo Shamai Viterbi Faculty of Electrical and Computer Engineering Technion-Israel Institute of Technology

ISBN: (数字)9798350348187

ISBN: (纸本)9798350348194

We study power-effective communication systems over band-limited Additive White Gaussian Noise channels in which the transmitter's output is constrained to be symmetric binary (bipolar) or peak-limited. New geometrical analysis is introduced, and the admissible band-limited signals are shown to form a convex set. We improved the previous upper and lower bounds on capacity, the gap between the upper and lower bounds on capacity at high SNR is reduced to 1.7dB. New attributes of the optimal signals are derived, mainly the central role of binary signals with sign transition rate not exceeding the Nyquist rate of the channel. The results rely on an extensive numerical evaluation and would benefit from further analytical progress.

关键词： Microwave antennas AWGN channels Upper bound Microwave communication Signal to noise ratio Biomedical engineering

来源：评论

学校读者我要写书评

暂无评论

Coding-Based Hybrid Post-Quantum Cryptosystem for Non-Uniform Information

Coding-Based Hybrid Post-Quantum Cryptosystem for Non-Unifor...

引用

IEEE International Symposium on Information Theory

作者： Saar Tarnopolsky Alejandro Cohen Faculty of Electrical and Computer Engineering Technion - Institute of Technology Haifa Israel

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

We introduce for non-uniform messages a novel hybrid universal network coding cryptosystem (NU-HUNCC) in the finite blocklength regime that provides Post-Quantum (PQ) security at high communication rates. Recently, hybrid cryptosystems offered PQ security by premixing the data using secure coding schemes and encrypting only a small portion of it, assuming the data is uniformly distributed. An assumption that is often challenging to enforce. Standard fixed-length lossless source coding and compression schemes guarantee a uniform output in normalized divergence. Yet, this is not sufficient to guarantee security. We consider an efficient almost uniform compression scheme in non-normalized variational distance for the proposed hybrid cryptosystem, that by utilizing a uniform sub-linear shared seed, guarantees PQ security. Specifically, for the proposed PQ cryptosystem, first, we provide an end-to-end coding scheme, NU-HUNCC, for non-uniform messages. Second, we show that NU-HUNCC is information-theoretic individually secured (IS) against an eavesdropper with access to any subset of the links. Third, we introduce a modified security definition, individually semantically secure under a chosen ciphertext attack (ISS-CCA1), and show that against an all-observing eavesdrop-per, NU-HUNCC satisfies its conditions. Finally, we provide an analysis that shows the high communication rate of NU-HUNCC and the negligibility of the shared seed size.

关键词： Source coding Distributed databases Network coding Cryptography Standards

来源：评论

学校读者我要写书评

暂无评论

Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics

arXiv

引用

arXiv 2024年

作者： Freirich, Dror Weinberger, Nir Meir, Ron Viterbi Faculty of Electrical and Computer Engineering Technion - Israel Institute of Technology

Whenever inspected by humans, reconstructed signals should not be distinguished from real ones. Typically, such a high perceptual quality comes at the price of high reconstruction error, and vice versa. We study this distortion-perception (DP) tradeoff over finite-alphabet channels, for the Wasserstein-1 distance induced by a general metric as the perception index, and an arbitrary distortion matrix. Under this setting, we show that computing the DP function and the optimal reconstructions is equivalent to solving a set of linear programming problems. We provide a structural characterization of the DP tradeoff, where the DP function is piecewise linear in the perception index. We further derive a closed-form expression for the case of binary sources. Copyright © 2024, The Authors. All rights reserved.

关键词： Linear programming

来源：评论

学校读者我要写书评

暂无评论

An Ensemble Feature Extraction Approach for Ethiopian Coffee Beans Variant Identification

An Ensemble Feature Extraction Approach for Ethiopian Coffee...

引用

2024 International Conference on Information and Communication technology for Development for Africa, ICT4DA 2024

作者： Tesfaye, Wakjira Fikirie, Tenagne Assosa University Assosa Ethiopia Bahir Dar University Faculty of Electrical and Computer Engineering Bahir Dar Institute of Technology P.O.Box 26 Bahir Dar Ethiopia

ISBN: (纸本)9798331527792

Ethiopia's primary export is coffee, which contributes significantly to the country's foreign exchange earnings. In Ethiopia, there are numerous types of coffee beans. Based on their respective geographic origins, these beans differ from one another in terms of quality, color, shape, and other characteristics. These coffee beans are categorized based on where they were grown. However, visual inspection, which is subjective, time-consuming, and prone to error, is used to categorize coffee beans. The goal of this research is to create a suitable system that categorizes various Ethiopian coffee varietals according to the location where they were grown. Six coffee-growing regions provided sample coffees (Harar, Jimma, Limu, Sidama, Yirgachafe, and Wombera). To reduce environmental influences and eliminate variance, an Epson L360 scanner was used to capture input images. 100 images were taken from each region. The total number of images taken was 600, which contained 12604 coffee beans. Out of the total data sets, 75% were used for training and 25% for testing to assess the classification accuracy. Morphological operations and marker-based watershed algorithms were used to segment coffee beans even if they were mutually touched. This research extracted sixty-four Convolutional neural network (CNN) features, five morphological features and five Gray-Level Co-occurrence Matrix (GLCM) features from each coffee bean for the classification process. K-nearest neighbor (KNN) and Support Vector Machine (SVM) classifiers have been evaluated on the extracted feature. The experimental result showed that SVM gave (90.16%) better classification accuracy. © 2024 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation Network

arXiv

引用

arXiv 2024年

作者： Dissen, Yehoshua Yonash, Shiry Cohen, Israel Keshet, Joseph Faculty of Electrical and Computer Engineering Technion – Israel Institute of Technology Israel

In the realm of automatic speech recognition (ASR), robustness in noisy environments remains a significant challenge. Recent ASR models, such as Whisper, have shown promise, but their efficacy in noisy conditions can be further enhanced. This study is focused on recovering from packet loss to improve the word error rate (WER) of ASR models. We propose using a front-end adaptation network connected to a frozen ASR model. The adaptation network is trained to modify the corrupted input spectrum by minimizing the criteria of the ASR model in addition to an enhancement loss function. Our experiments demonstrate that the adaptation network, trained on Whisper’s criteria, notably reduces word error rates across domains and languages in packet-loss scenarios. This improvement is achieved with minimal affect to Whisper model’s foundational performance, underscoring our method’s practicality and potential in enhancing ASR models in challenging acoustic environments. © 2024, CC BY.

关键词： Packet loss

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：