检索结果-内蒙古大学图书馆

International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

作者： Nelson Lungu Bibhuti Bhusan Dash Utpal De Chandra Bibek Bikram Dash Binod Kumar Pattanayak Sudhansu Shekhar Patra Electrical and Electronical Engineering University of Zambia Lusaka Zambia School of Computer Applications KIIT Deemed to be University Bhubaneswar India HealthWorksAI Bangalore India Department of Computer Science & Engineering ITER Siksha ‘O’ Anusandhan University Bhubaneswar Odisha India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376432

Graphics processing units (GPUs) have become ubiquitous in computing systems, from personal devices to data centres. Their massively parallel architecture delivers tremendous performance for graphics and general-purpose workloads. However, the open nature of GPUs also introduces security vulnerabilities that can be exploited through side-channel attacks. Defending against such threats often incurs performance overhead, creating tradeoffs between security and speed. This article examines recent research analysing and mitigating GPU side channel attacks while maintaining acceptable performance and presented a multi-faceted defence strategy combining compiler transformations, runtime monitoring, and microarchitectural techniques to balance security and performance. The methodology integrates formal threat models, empirical side-channel evaluations, and rigorous benchmarking. It implements and evaluates prototypes demonstrating security improvement with minimal impact on representative workloads. The results provide promising directions for practical GPU security defences.

关键词： Performance evaluation Threat modeling Runtime Microarchitecture Prevention and mitigation Graphics processing units Prototypes Side-channel attacks Security Protection

来源：评论

学校读者我要写书评

暂无评论

Multi-vector Monitoring, Detecting and Classifying GPU Side-Channel Attack Vectors on a Secure GPU Execution Framework

Multi-vector Monitoring, Detecting and Classifying GPU Side-...

引用

International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

作者： Nelson Lungu Bibhuti Bhusan Dash Utpal Chandra De Bibek Bikram Dash Satyendr Singh Sudhansu Shekhar Patra Electrical and Electronical Engineering University of Zambia Lusaka Zambia School of Computer Applications KIIT Deemed to be University Bhubaneswar India HealthWorksAI Bangalore India Computer Science & Engg Department BML Munjal University Gurugram India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376432

Graphics Processing Units (GPUs) are increasingly deployed in security-sensitive domains, but their parallel architectures introduce vulnerabilities enabling side-channel attacks to steal sensitive data. Recent works have shown feasible timing, contention, power, and access pattern side-channel attacks against cryptographic implementations, randomness protections, and other workloads on GPUs, highlighting risks of intellectual property theft, cryptographic key extraction, and spying. However, existing academic defences remain inadequate in systematically protecting real-world shader execution. This research aims to design, develop, and evaluate a secure GPU shader execution framework incorporating runtime monitoring, anomaly detection, and response mechanisms for commercial GPUs. The methodology involves implementing and assessing the framework against simulated side-channel attacks on shader benchmarks; this can help secure emerging GPU adoption in sectors like finance, healthcare, and government against rising data breaches.

关键词： Runtime Graphics processing units Side-channel attacks Machine learning Vectors Real-time systems Threat assessment Timing Monitoring Standards

来源：评论

学校读者我要写书评

暂无评论

MuSE-SVS: Multi-Singer Emotional Singing Voice Synthesizer that Controls Emotional Intensity

arXiv

引用

arXiv 2022年

作者： Kim, Sungjae Kim, Yewon Jun, Jewoo Kim, Injung Computer Science and Electronical Engineering Department Handong Global University Pohang37554 Korea Republic of

We propose a multi-singer emotional singing voice synthesizer, Muse-SVS, that expresses emotion at various intensity levels by controlling subtle changes in pitch, energy, and phoneme duration while accurately following the score. To control multiple style attributes while avoiding loss of fidelity and expressiveness due to interference between attributes, Muse-SVS represents all attributes and their relations together by a joint embedding in a unified embedding space. Muse-SVS can express emotional intensity levels not included in the training data through embedding interpolation and extrapolation. We also propose a statistical pitch predictor to express pitch variance according to emotional intensity, and a context-aware residual duration predictor to prevent the accumulation of variances in phoneme duration, which is crucial for synchronization with instrumental parts. In addition, we propose a novel ASPP-Transformer, which combines atrous spatial pyramid pooling (ASPP) and Transformer, to improve fidelity and expressiveness by referring to broad contexts. In experiments, Muse-SVS exhibited improved fidelity, expressiveness, and synchronization performance compared with baseline models. The visualization results show that Muse-SVS effectively express the variance in pitch, energy, and phoneme duration according to emotional intensity. To the best of our knowledge, Muse-SVS is the first neural SVS capable of controlling emotional intensity. Copyright © 2022, The Authors. All rights reserved.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

An Extensive Review of Optimized Energy Saving Approaches for Green Cloud Computing (GCC)

An Extensive Review of Optimized Energy Saving Approaches fo...

引用

Advances in Computation, Communication and Information Technology (ICAICCIT), International Conference on

作者： Deepak Mehta Amit Kumar Tripathi Javed Moazzam Department of Computer Science and Information Technology Jain (Deemed to be University) Bangalore India Department of Electronical & Electronics Engineering Noida Institute of Engineering and Technology Greater Noida Uttar Pradesh India Department of Computer Science and Engineering Tula's Institute Dehradun India

The proliferation because of cloud computing has resulted in inefficient power usage in the areas of data transmission, storing, and handling. This activity is environmentally detrimental due to the release of emissions of carbon. Hence, the implementation of green IT is necessary in order to preserve the surroundings. The environmentally conscious computing in the cloud (GCC) method is an element of green IT that tries to minimize the ecological impact of information centers by reducing the amount of energy they use. The GCC, or Global Climate Change, is a vast and captivating area for scientific investigation. Several studies have been conducted to enhance the utilization of computing resources in line with the GCC vision. The given paper concentrates on diverse facets, encompassing approaches for optimizing software, hardware, and network systems. Also, this paper summarizes and categorizes various GCC approaches. In order to make meaningful comparisons between GCC methods, it is helpful to first identify the central implementation strategies and the problems associated with each.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Applying DMLP and HMM in Speech Identification Platforms

Applying DMLP and HMM in Speech Identification Platforms

引用

Advances in Computation, Communication and Information Technology (ICAICCIT), International Conference on

作者： Manju Bargavi Rishi Singhal Javed Moazzam Department of Computer Science and Information Technology Jain (Deemed to be University) Bangalore India Department of Electronical & Electronics Engineering Noida Institute of Engineering and Technology Greater Noida Uttar Pradesh India Department of Computer Science and Engineering Tula’s Institute Dehradun India

Attempting to deploy high-precision speech recognition algorithms on mobile and embedded devices without doing a thorough evaluation of their computational resource requirements is impractical. This study utilizes techniques to minimize the computational resources required for an optimized voice recognition system implemented on mobile devices. A cutting-edge voice recognition technique, known as Dynamic Multi-Layer Perceptron (DMLP), has been created. This method is capable of functioning in real-time on a contemporary mobile device. When evaluated on the same dataset, traditional hidden Markov models (HMM) performed somewhat better than our method, but this came at the cost of significantly longer processing time. The provided Dynamic Multi-layer Perceptron (DMLP) achieves a remarkable accuracy of 96.94% and outperforms other approaches in terms of speed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

MVSAS: Semantic-Aware Scheduling for Low Latency and High Precision in Wireless Multi-View Application 27

MVSAS: Semantic-Aware Scheduling for Low Latency and High Pr...

引用

27th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2021

作者： Guan, Xiuxian Sun, Zekai Deng, Shengliang Zhao, Shixiong Shen, Tianxiang Li, Tsz On Wang, Yuexuan Wang, Rui Cui, Heming The University of Hong Kong Dept. of Computer Science Hong Kong Hong Kong Southern University of Science and Technology Dept. of Electronical and Electronic Engineering Shenzhen China

ISBN: (纸本)9781665408783

Multi-view models for various multi-view applications (e.g., pose recognition, facial recognition) achieve higher accuracy when more sensing data (views) from different sensors are flexibly collected via wireless networks and combined into inference input. However, when the view number scales up, the application suffers a long latency to collect all the latest views before inference (vanilla workflow). We observed that collecting all the latest views before inference is unnecessary, because different views are often not equally important and important views have major contribution to the output. In this paper, we present a Multi-View Semantic-Aware Scheduling (MVSAS) system that automatically prioritizes views according to their importance and schedules the early transmission of the important views. We tackled the challenge to infer view importance by analyzing the inference intermediates and extracting the semantics (e.g., number of persons) of each view. Once important views are collected, needless to wait for other less important views, the important views are combined with stale version of less important views as inference input, so as to retain high accuracy while reducing the latency to collect views. Evaluation shows that MVSAS achieved at most 36.9% latency reduction while retaining at most 98.7% accuracy compared to the vanilla workflow. © 2021 IEEE.

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

Evaluation and Comparison of Facial Recognition Technology in Drawn Portraits

Evaluation and Comparison of Facial Recognition Technology i...

引用

IEEE Global Conference on Consumer Electronics (GCCE)

作者： Cheng Chang Yong-Yi Fanjiang Chi-Huang Hung Jung-Hua Chen Kiem-Trinh Phung Van-Duc Trieu Graduate Institute of Applied Science and Engineering Fu Jen Catholic University New Taipei City Taiwan Dept. of Computer Science and Information Engineering Graduate Institute of Applied Science and Engineering Fu Jen Catholic University New Taipei City Taiwan Dept. of Information Technology Graduate Institute of Applied Science and Engineering Fu Jen Catholic University Lee-Ming Institute of Technology New Taipei Taiwan Dept. of Computer Science and Information Engineering Fu Jen Catholic University New Taipei City Taiwan Dept. Electronical Engineering Lee-Ming Institute of Technology New Taipei City Taiwan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

Numerous studies have proposed various methods and applications for facial recognition. In camera-equipped environments, these methods can easily identify real faces. However, recognizing faces on printed or Portrait Drawing becomes more complex. In other words, real faces are three-dimensional, and while algorithms can sample feature values, identifying portrait drawing face on paper is relatively more challenging. This study evaluates and compares the effectiveness of various facial recognition techniques on paper-based images, including Haar-cascade, MTCNN, and Dlib 68 feature points.

关键词： Accuracy Image recognition Face recognition Image augmentation Face detection Faces Standards Consumer electronics

来源：评论

学校读者我要写书评

暂无评论

Coreference resolution for the biomedical domain: A survey

arXiv

引用

arXiv 2021年

作者： Lu, Pengcheng Poesio, Massimo School of Electronical Engineering and Computer Science Queen Mary University of London United Kingdom

Issues with coreference resolution are one of the most frequently mentioned challenges for information extraction from the biomedical literature. Thus, the biomedical genre has long been the second most researched genre for coreference resolution after the news domain, and the subject of a great deal of research for NLP in general. In recent years this interest has grown enormously leading to the development of a number of substantial datasets, of domain-specific contextual language models, and of several architectures. In this paper we review the state-of-the-art of coreference in the biomedical domain with a particular attention on these most recent developments. © 2021, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

R-Taichi: A Quadruped Robot with Deformed Wheels

R-Taichi: A Quadruped Robot with Deformed Wheels

引用

IEEE International Conference on Mechatronics and Automation

作者： Tengyuan Ma Haoning Cheng Zihan Cheng Cunkai Wang Mingyu Duan Nanqing Jiang Hemiao Wang Senge Yao School of Mechanical Engineering Tiangong University Tianjin China School of Electronics & Information Engineering Tiangong University Tianjin China School of Electronical Engineering Tiangong University Tianjin China School of Computer Science and Technology Tiangong University Tianjin China School of Aeronautics and Astronautics Tiangong University Tianjin China

This paper presents the design of a quadruped robot with deformable wheels. In terms of structure, the robot successfully combines the wheel mode, RHex mode of varying heights, and leg mode with a simple link mechanism. The robot also adopts the form of motor-relative control installation to optimize energy consumption. In gait planning, we calculate forward and inverse kinematics, and design the RHex gait based on the characteristics of the deformable wheel, as well as a variety of gaits for flexible leg mode. Finally, we analyze the energy consumption and stability of each mode through experiments. The results show that the RHex mode has strong mobility and adaptability, as it can easily cross a 15cm obstacle. The wheel mode has obvious advantages in terms of energy consumption and stability. In the future, we can adapt more algorithms for leg patterns to fully take advantage of their flexibility.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Resilience Navigation Filter for Detecting and Mitigating Multi-Spoofing Attacks in Range-Based Localization Systems using Antenna Arrays

引用

IEEE Transactions on Aerospace and Electronic Systems 2025年第3期61卷 6856-6872页

作者： Venturino, Antonello D'afflisio, Enrica Forti, Nicola Braca, Paolo Willett, Peter Win, Moe Z. Università della Calabria DIMES Rende87036 Italy NATO Science and Technology Organization Centre for Maritime Research and Experimentation La Spezia19126 Italy Via Santa Marta 3 Firenze50139 Italy University of Connecticut Department of Electronical and Computer Engineering StorrsCT06269 United States CambridgeMA02139 United States

Ensuring the integrity of range-based localization systems is crucial, particularly due to their pervasive use in critical civilian and military applications and their vulnerability to sophisticated spoofing attacks. Among these, multi-spoofer attacks, involving coordinated and strategically positioned spoofers capable of manipulating signals to evade detection, represent a significant operational threat. This paper investigates filtering approaches to enhance the resilience of vehicles equipped with directional receivers, such as antenna or hydrophone arrays, against such advanced threats. To address this challenge, it introduces the Adaptive Resilience Navigation Filter (ARNF), designed to detect ongoing attacks, identify compromised signals, and mitigate their effects. Leveraging statistical hypothesis testing and single phase differences from antenna array measurements, the ARNF dynamically adapts to spoofed and non-spoofed signals to estimate biases introduced by spoofers and restore navigation accuracy. Validation through simulations under realistic Global Navigation Satellite System (GNSS) conditions demonstrates the efficacy of the ARNF, with performance compared to the 2-Stage Extended Kalman Filter and the ideal Clairvoyant Extended Kalman Filter. © 1965-2011 IEEE.

关键词： Adaptive filtering

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：