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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Alghamdi, Wael Asoodeh, Shahab Calmon, Flavio P. Felipe Gomez, Juan Kosut, Oliver Sankar, Lalitha Harvard University School of Engineering and Applied Sciences United States McMaster University Department of Computing and Software Canada Arizona State University School of Electrical Computer and Energy Engineering United States

ISBN: (纸本)9781665475549

We construct vector differentially-private (DP) mechanisms that are asymptotically optimal in the limit of the number of compositions growing without bound. First, we derive via the central limit theorem a reduction from DP to a KL-divergence minimization problem. Second, we formulate the general theory of spherically-symmetric DP mechanisms in the large-composition regime. Specifically, we show that additive, continuous, spherically-symmetric DP mechanisms are optimal if one considers a spherically-symmetric cost (e.g., bounded noise variance) and an l2 sensitivity metric. We then formulate a finite-dimensional problem that produces noise distributions that can get arbitrarily close to optimal among monotone mechanisms. Finally, we demonstrate numerically that our proposed mechanism achieves better DP parameters than the vector Gaussian mechanism for the same variance constraint. © 2023 IEEE.

关键词： Information theory

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Experience Report from a Graduate ML Production Systems Course

Experience Report from a Graduate ML Production Systems Cour...

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IEEE International Conference on Electro-Information Technology

作者： Ronald J. Nowling Electrical Engineering and Computer Science Milwaukee School of Engineering Milwaukee WI USA

ISBN: (数字)9798350330649

ISBN: (纸本)9798350330656

There is a dearth of coursework on designing and implementing services that incorporate machine learning models in university curricula despite the growing industry demand. We describe the design of a course titled "ML Production Systems" which covers the implementation, deployment, monitoring, and updating of machine learning models as part of user-facing web services. The course is designed around a semester-long project to implement and deploy a home sale price prediction service. The course is a required course in a Master’s in Machine Learning program and graduate Machine Learning engineering certificate program. The course was taught in an online synchronous format to twenty-nine students in Fall 2023; fifteen of the students had more than one year of professional experience as software engineers, while the remaining fourteen students were accelerated Master’s students. Analysis of open-ended written student feedback indicated that students in both groups had a positive experience and found the course to be valuable. Assessment of learning outcome achievements with a final exam and project completion rates indicated that nearly all of the students successfully achieved the learning outcomes. No statistically-significant differences in achievement between the working professionals and accelerated Master’s students were detected. We believe that this course and its successful delivery will serve as a blueprint for other faculty who may want to implement similar courses.

关键词： Industries Production systems Web services Machine learning Software Information technology Monitoring

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Design Analysis of Dynamic Comparator 4

Design Analysis of Dynamic Comparator

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2022 4th International Conference on Electronic engineering and Informatics, EEI 2022

作者： Huang, Zhipeng Li, Xinhui Wang, Miaorui Yang, Jiawei School of Computer Science and Technology Nanjing Tech University China School of Engineering Liverpool John Moores University United Kingdom School of Electrical and Automation Engineering Nanjing Normal University China Department of Electrical and Computer Engineering Dalhousie University Canada

ISBN: (纸本)9783800759231

This paper covers four comparators with new-designed structures, each of them having superior performance than the classic comparators. A novel comparator design with parallel signal pathways to the output node boosts the comparator's transconductance and reduces voltage offset and overall latency in comparison to the conventional circuit. Similarly, A distinctive latching-stage design based on a gate-biasing cross-coupled material further optimizes the delay and power consumption of the comparator by increasing the overall transconductance of transistors. Meanwhile, a unique Triple-Tail (TT) fully dynamic comparator applies two preamplifiers in series with the latching stage, minimizes the total resolving time of the comparator and further raises the sampling rate without increasing input-referred noise and energy usage. Lastly, Edge-Pursuit Comparator (EPC) combines a non-coincident gate and an inverting delay unit, which leads two input signals chase each other in a ring oscillator to give a comparison result. The circuit construction provides flexible input noise, automatic energy scaling, and low voltage tolerance. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Comparators (optical)

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EEG-Based Motion Intention Detection for Robotic Rehabilitation: Evaluating Classification and Regression Algorithms

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SN computer Science 2024年第8期5卷 1057页

作者： Khan, Abdul Manan Khan, Fatima Dwivedi, Anshu Kumar Semwal, Vijay Bhaskar Martha, Sheshikala Bijalwan, Vishwanath Department of Aerospace Engineering University of Bristol Bristol United Kingdom Graduate School of Cancer Science and Policy National Cancer Center Ilsan South Korea School of Computer Science Engineering and Technology Bennett University Greater Noida India Department of CSE Maulana Azad National Institute of Technology Bhopal India School of Computer Science & amp Artificial Intelligence SR University Warangal Warangal India Department of Electrical and Electronics Engineering University of West London London United Kingdom

Rehabilitation robots have shown significant efficacy in restoring lost motor functions in stroke survivors by providing compliant assistance during rehabilitation tasks. However, accurately understanding the desired motion intention (DMI) of the subjects is a significant challenge in providing effective robotic assistance. This work aims to determine the desired motion intention (DMI) for compliant robotic assistance through the analysis of upper limb motions using electroencephalography (EEG) signals. A group of fifteen individuals who were in good health carried out six distinct exercises. These movements were categorized using decision trees, random forest, and deep learning algorithms. Using deep learning, we achieved the highest accuracy rates, reaching 82% for movement-to-movement classification and 90% for movement-to-rest classification. The random forest method achieved superior performance compared to the other algorithms in regression tests, with an accuracy rate of 83%. The results demonstrate the effectiveness of our proposed EEG-based classification and regression techniques in detecting DMI for robotic help in *** study was conducted with a small sample size, exclusively involving healthy subjects, which is a critical factor to consider. This may limit the generalizability of the results, particularly when populations with motor impairments are taken into account. However, the study offers valuable insights into the potential of the EEG-based models for real-time rehabilitation applications despite this limitation. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： C-RNN Deep learning Desired motion intention EEG signals Machine learning Rehabilitation

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Control Strategies for Real-Time Aerial Manipulation With Multi-Dof Arms: A Survey

Control Strategies for Real-Time Aerial Manipulation With Mu...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Stamatina C. Barakou Costas S. Tzafestas Kimon P. Valavanis School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Department of Electrical and Computer Engineering University of Denver Denver CO USA

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

This survey summarizes key control approaches and architectures that reflect the state-of-the-art in aerial manipulation. The central objective is to provide a thorough resource for researchers exploring multirotor configurations suitable for real-time aerial manipulation applications. The focus is on evaluating and comparing prototype systems and their corresponding controller designs, emphasizing real-time implementation, regardless of the number of DOFs of the attached manipulator(s) and of specific applications. The survey groups control methods in three categories based on the specific architecture that is followed: coupled, partially coupled, and decoupled. The metrics used for the comparative study include system configuration, total weight, modeling approach, control architecture, robustness, implementation complexity, task execution precision, and achieved results (via simulations or experiments).

关键词： Surveys Measurement Atmospheric modeling Prototypes Real-time systems Robustness Complexity theory Aircraft Aerospace control

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Distributed Image Classification on Big Data Platforms: A Gradient Boosted Trees Approach

Distributed Image Classification on Big Data Platforms: A Gr...

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2024 International Conference on Communication, computer Sciences and engineering, IC3SE 2024

作者： Nainwal, Ankita Husain, Saif O. Dixit, Krishna Kant Deepak, A. Sehgal, Archana Gupta, Priyanka Graphic Era Deemed To Be University Department Of Computer Science & Engineering Dehradun India College Of Technical Engineering The Islamic University Department Of Computers Techniques Engineering Najaf Iraq Gla University Department Of Electrical Engineering Mathura India Saveetha School Of Engineering Saveetha Institute Of Medical And Technical Sciences Saveetha University Tamilnadu Chennai India Lovely Professional University Phagwara India Institute Of Aeronautical Engineering Department Of Computer Science And Engineering Telangana Hyderabad India

ISBN: (纸本)9798350366846

This examination presents a thorough examination concerning the space of distributed picture grouping on tremendous data stages, with a specific focus on using gradient-boosted trees (GBT). The audit differentiates the proposed GBT approach and MapReduce, Apache Flash, and Hadoop Distributed Report Framework (HDFS), evaluating their sufficiency in dealing with tremendous degree picture datasets. The preliminary results show that GBT beats traditional MapReduce, showing overhauled precision (85%) and exactness (87%) while staying aware of vicious audit (84%) and F1 score (85%). Furthermore, when stood out from Apache Flash, GBT exhibits identical characterization execution, with an accuracy of 85% and an execution time of 320 seconds. The coordination of GBT with HDFS for distributed limit and recuperation shows useful data move (180 seconds) and download (150 seconds) times. The revelations highlight the capacity of GBT as a strong and successful response for distributed picture characterization, underlining its flexibility to various tremendous data organizes and showing its responsibility for genuine applications. © 2024 IEEE.

关键词： MapReduce

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DOA Estimation for 6G Communication Systems 12

DOA Estimation for 6G Communication Systems

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12th International Conference on Modern Circuits and Systems Technologies, MOCAST 2023

作者： Kassir, Haya Al Rekanos, Ioannis T. Lazaridis, Pavlos I. Yioultsis, Traianos V. Kantartzis, Nikolaos V. Antonopoulos, Christos S. Karagiannidis, George K. Zaharis, Zaharias D. Aristotle University of Thessaloniki School of Electrical and Computer Engineering Thessaloniki54124 Greece University of Huddersfield School of Computing and Engineering HuddersfieldHD1 3DH United Kingdom

ISBN: (纸本)9798350321074

The objective of this study is to analyze and compare different neural network (NN) architectures as multi-class classifiers to estimate the direction of arrival (DOA) using a uniform linear array (ULA). The study specifically investigates the prediction skills of three NNs: feed forward NN (FFNN), convolutional NN (CNN), and residual NN (ResNet) when estimating incoming signal DOAs in a realistic ULA of (M = 16) elements under noisy conditions. The NNs are trained on a correlation matrix generated by a ULA to estimate the DOAs. The results of the simulations indicate that ResNet performs better than FFNN and CNN in accurately estimating incoming signals. © 2023 IEEE.

关键词： Direction of arrival

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Towards Run-Time Security Monitoring of Distributed Industrial Control Systems 28

Towards Run-Time Security Monitoring of Distributed Industri...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Raptis, George E. Khan, Muhammad Taimoor Stefanidis, Kyriakos Koulamas, Christos Serpanos, Dimitrios Patras Greece University of Greenwich School of Computing and Mathematical Sciences London United Kingdom University of Patras & Computer Technology Institute and Press Diophantus Electrical and Computer Engineering Patras Greece

ISBN: (纸本)9798350339918

Over the past few years, there has been a noticeable transition from centralized Industrial Control Systems (ICS) to distributed systems. However, the challenges of distributed systems (e.g., communication delays and packet loss) can give rise to undesired situations like deadlocks, which malicious actors may target. To address such conditions, implementing run-time security monitoring can ensure these systems' reliable and secure operation. In this paper, we introduce a novel approach for run-time security monitoring for distributed ICS, extending previous works that focus on autonomous and centralized systems. Our approach makes it possible to specify physical and cyber resources and their changing limitations within a distributed environment. By doing so, our approach offers a valuable contribution to ICS security by tackling limitations introduced by distributed ICS. Furthermore, it provides an efficient mechanism for monitoring the security of these systems in real time. © 2023 IEEE.

关键词： Information management

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CATCH: a Cost Analysis Tool for Co-optimization of chiplet-based Heterogeneous systems

arXiv

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arXiv 2025年

作者： Graening, Alexander Talukdar, Jonti Pal, Saptadeep Chakrabarty, Krishnendu Gupta, Puneet Department of Electrical and Computer Engineering University of California Los Angeles United States Etched Department of Electrical and Computer Engineering Duke University United States School of Electrical Computer and Energy Engineering Arizona State University United States

With the increasing prevalence of chiplet systems in high-performance computing applications, the number of design options has increased dramatically. Instead of chips defaulting to a single die design, now there are options for 2.5D and 3D stacking along with a plethora of choices regarding configurations and processes. For chiplet-based designs, high-impact decisions such as those regarding the number of chiplets, the design partitions, the interconnect types, and other factors must be made early in the development process. In this work, we describe an open-source tool, CATCH, that can be used to guide these early design choices. We also present case studies showing some of the insights we can draw by using this tool. We look at case studies on optimal chip size, defect density, test cost, IO types, assembly processes, and substrates. Copyright © 2025, The Authors. All rights reserved.

关键词： Cost benefit analysis

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A Review of the Battery Safety, Protection and Disposal Standards in India

A Review of the Battery Safety, Protection and Disposal Stan...

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Energy and Sustainable Development

作者： Yaminidhar Reddy Bhavanam Sreedhar Madichetty Electrical and Computer Engineering Ecole Centrale School of Engineering Mahindra University Hyderabad

ISBN: (数字)9798331517076

ISBN: (纸本)9798331517083

In the process of achieving the Government of India's five-element plan (Panchamrit) to combat climate change, the transport sector is undergoing drastic changes. In parallel to enhancing and encouraging the electric vehicle (EV) ecosystem in India, it is equally important and pertinent to focus on the safety aspects of batteries. The rise in the mass production of these batteries and the increased consumer demand will significantly exacerbate the problems and safety aspects associated with the operation, maintenance, recovery, recycling and disposal of batteries. In this paper, EVs (passenger carriers) available in the Indian market, along with the battery type and charging times, are explored and presented. Also, an overview of the regulatory mechanism governing the automobile industry in India is described. The automotive industry standards in India developed under the Central Motor Vehicle Rules (CMVR) are also discussed. Some popular and dominant International and National standards development bodies/organizations are listed. Applications of lithium batteries and the potential hazards they pose if mishandled or improperly manufactured are mentioned. UN 38.3 - testing requirements and criteria for safely transporting lithium batteries are outlined. Importantly, (IS) 16046, developed by the Bureau of Indian Standards (BIS) was analysed and discussed in detail. The battery disposal mechanism in India, governed by the battery waste management rules, is incorporated. Finally, recommendations were provided to strengthen the existing standards.

关键词： Industries Waste management Reviews Blades Lithium batteries Thermal conductivity Automobiles Protection Standards Climate change Battery management systems

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