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2023 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2023

作者： Mishra, Debani Prasad Kumar, Rohit Sahoo, Arun Kumar Parida, Tanmoy Iiit Bhubaneswar Department of Electrical Engineering India Soa Deemed to Be University Department of Computer Science Iter Bhubaneswar India

ISBN: (纸本)9798350339369

electrical fires and accidents continue to cause considerable property damage and fatalities in India, raising serious concerns about electrical safety. electrical safety in India can be greatly increased by implementing real-time arc fault detection systems employing C++, Analog-to-Digital converter, and relay technologies. The technology can be tailored to meet various electrical systems, locations, and infrastructure. Using cutting-edge electrical safety solutions, such as real-time arc fault detection systems, is essential to reducing electrical dangers and ensuring the safety of people and property in India due to the country's expanding electrical infrastructure and rising demand for power. To reduce electrical mishaps, the Indian government should give priority to implementing such systems and raising awareness of the significance of electrical safety. © 2023 IEEE.

关键词： Relay protection

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Volumetric Corpus Callosum segmentation integrated to inCCsight software for supporting DTI-based studies

Volumetric Corpus Callosum segmentation integrated to inCCsi...

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Medical Imaging 2023: computer-Aided Diagnosis

作者： Alcantara, João Vitor Rodrigues, Joany Julio, Paulo Rogério Appenzeller, Simone Rittner, Leticia School of Electrical and Computer Engineering University of Campinas Brazil Rheumatology Department Faculty of Medical Science University of Campinas Brazil

ISBN: (纸本)9781510660359

The Corpus Callosum is the major interhemispheric commisure and, because of its highly organized fibers, it is often studied using diffusion tensor images (DTI). A firstnecessary step for CC studies is its segmentation, preferably automated. Since most available softwares are not able to perform CC volumetric segmentation, and the only ones that do it, are based on T1-weighted images and not DTI, this work presents the extension of an open-source software, called inCCsight, incorporating a DTI-based CC volumetric segmentation method into it. The software is open-source and offers the possibility of incorporating customized plots and integrating other segmentation and/or parcellation methods by the user. © 2023 SPIE.

关键词： Open source software

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Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices 5

Performance Assessment of an Extremely Energy-Efficient Bina...

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5th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2023

作者： Chen, Olivia Li, Zhengang Yamauchi, Tomoharu Wang, Yanzhi Yoshikawa, Nobuyuki Tokyo City University Dept. Computer Science Tokyo Japan Northeasetern University Dept. Electrical and Computer Engineering Boston United States Tokyo City University Grad. Sch. Informative Engineering Tokyo Japan Yokohama National University Dept. Electrical and Computer Engineering Yokohama Japan

ISBN: (纸本)9798350332674

Binary Neural Networks (BNNs) are gaining popularity for solving real-world problems using Deep Neural Networks (DNNs), such as image recognition and natural language processing. BNNs use binary precision for weights and activations, reducing memory usage by 32 times compared to conventional networks using 32-bit floating-point precision. Among various types of BNNs, AQFP-based BNNs utilizing superconducting logic families are promising for energy-efficient computing, using magnetic flux quantization and quantum interference in Josephson-junction-based superconductor loops. This paper presents a performance assessment of a novel AQFP-based BNN architecture, highlighting scalability issues caused by increased inductance in the analog accumulation circuit. We also discuss potential optimization approaches to address these issues and improve scalability. © 2023 IEEE.

关键词： Image recognition

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Automated Brain Abnormality Segmentation using Modified JAYA algorithm based Fuzzy C-Means Clustering 1

Automated Brain Abnormality Segmentation using Modified JAYA...

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1st International Conference on Software, Systems and Information Technology, SSITCON 2024

作者： Jeenath Shafana, N. Priya Lakshmi, S. Vijayalakshmi Ramani, U. Ramaraj, Kottaimalai Thilagaraj, M. Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India Cmr Institute of Technology Department of Computer Science and Engineering Bengaluru India K Ramakrishnan College of Engineering Department of Electrical and Electronics Engineering Tiruchirappalli India Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Krishnankoil India Mvj College of Engineering Department of Industrial Internet of Things Bengaluru India

ISBN: (纸本)9798350352931

The main risk factors in humans, irrespective of gender or location, are anomalies of the brain, such as tumors and strokes. In healthcare facilities, the degree of disability and underlying cause of brain lesions are typically evaluated by means of regular methods created by trained clinicians. During this procedure, signals and images of the brain are collected in a controlled setting. Selecting an appropriate separation method is essential to getting the desired results. The novel JAYA algorithm, which relies on meta-heuristics, aids in the reclustering of the FCM segmentation results in our suggested techniques, yielding more productive delineation results with clear borders with 86% of Dice Score. However, the exploitation and exploration techniques for searching become more flexible and help identify the optimal solution faster by adjusting the desired function with respect to the accommodating cluster location and population size. Regarding the processing speed, optimal exploitation, and exploratory abilities, the suggested strategy outperforms the other available metaheuristic optimization techniques. © 2024 IEEE.

关键词： Image segmentation

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"Risky or Trustworthy?": User Behavior towards Biometric Authentication Method 7

"Risky or Trustworthy?": User Behavior towards Biometric Aut...

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7th Information Systems International Conference, ISICO 2023

作者： Kusyanti, Ari Catherina, Harin Puspa Ayu Effendrik, Popong Santoso, Nurudin Ekowati, Nurul Syamsi Department of Computer Science Universitas Brawijaya Indonesia Department of Information Systems Universitas Brawijaya Indonesia Department of Electrical Engineering Politeknik Negeri Malang Indonesia

Smartphones as a means of communication are not only used to send and receive messages and make phone calls. Today's smartphones are also intended to store personal data and sensitive information hence it is vulnerable to be illegally accessed by others. Fingerprint as a biometric lock screen for smartphones can be trusted to ensure the security and privacy of smartphone users. A fingerprint is closely related to a user's identity. When using fingerprints, users provide their personal biometric pattern, unknowingly giving their privacy and making them vulnerable to unauthorized use of their biometric pattern. This study is designed to reveal the factors that influence users when using fingerprints as a smartphone lock, using eight variables adapted from previous research. The data analysis used is Partial Least Squares (PLS) analysis. The results of this study suggest that trust, attitudes, and perceived risk are the factors that influence users when using their fingerprint as a smartphone lock. © 2023 The Authors. Published by Elsevier B.V.

关键词： Smartphones

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A van der Waals metal contact for asymmetric GaN-based ultraviolet photodetectors

A van der Waals metal contact for asymmetric GaN-based ultra...

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2024 IEEE Photonics Conference, IPC 2024

作者： Kang, Yang Li, Fang Yu, Huabin Wang, Danhao Sun, Haiding University of Science and Technology of China School of Microelectronics Anhui Hefei230026 China University of Michigan Department of Electrical Engineering and Computer Science Ann Arbor48109 United States

We introduce a novel approach by fabricating van der Waals (vdW) asymmetric metal contacts on wide bandgap semiconductor gallium nitride (GaN). This pioneering method effectively mitigates the Fermi level pinning effe... 详细信息

ISBN: (纸本)9798350361957

关键词： Gallium nitride

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LCOT: LINEAR CIRCULAR OPTIMAL TRANSPORT 12

LCOT: LINEAR CIRCULAR OPTIMAL TRANSPORT

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12th International Conference on Learning Representations, ICLR 2024

作者： Martín, Rocío Díaz Medri, Ivan Bai, Yikun Liu, Xiran Yan, Kangbai Rohde, Gustavo K. Kolouri, Soheil Department of Mathematics Vanderbilt University NashvilleTN37240 United States Department of Computer Science Tennessee State University NashvilleTN37209 United States Department of Computer Science Vanderbilt University NashvilleTN37240 United States Department of Biomedical Engineering Department of Electrical and Computer Engineering University of Virginia CharlottesvilleVA22908 United States

The optimal transport problem for measures supported on non-Euclidean spaces has recently gained ample interest in diverse applications involving representation learning. In this paper, we focus on circular probability measures, i.e., probability measures supported on the unit circle, and introduce a new computationally efficient metric for these measures, denoted as Linear Circular Optimal Transport (LCOT). The proposed metric comes with an explicit linear embedding that allows one to apply Machine Learning (ML) algorithms to the embedded measures and seamlessly modify the underlying metric for the ML algorithm to LCOT. We show that the proposed metric is rooted in the Circular Optimal Transport (COT) and can be considered the linearization of the COT metric with respect to a fixed reference measure. We provide a theoretical analysis of the proposed metric and derive the computational complexities for pairwise comparison of circular probability measures. Lastly, through a set of numerical experiments, we demonstrate the benefits of LCOT in learning representations of circular measures. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Machine learning

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Visualizing Code Syntax: Empowering Developers with a Global View for Enhanced Code Quality Evaluation 16

Visualizing Code Syntax: Empowering Developers with a Global...

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16th International Conference on Advanced computer Theory and engineering, ICACTE 2023

作者： Adjel, Chaima Atil, Fadila Meslati, Djamel Laboratory Lisco University Badji Mokhtar-Annaba Faculty of Electrical Engineering and Computing Computer Science Departement Annaba Algeria

ISBN: (纸本)9798350317534

This article discusses the issues that come with system evolution, specifically the challenges of comprehending and maintaining old code created by unreachable developers. In this instance, we want to highlight the value of using code visualization to get a global perspective of the components and their dependencies, since this can assist in recognizing any possible structural problems. Additionally, visualization can shed light on the code's scalability and performance properties. A well-written program with clear syntax that respects low coupling and separation of concerns makes system maintenance and evolution easier, which saves time and money. Adopting a scalable and flexible language also makes maintenance and development smoother. In this paper, we made a visualization of Mage code in order to evaluate its syntax flexibility and scalability. © 2023 IEEE.

关键词： Visualization

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Privacy-Enhanced Living: A Local Differential Privacy Approach to Secure Smart Home Data

Privacy-Enhanced Living: A Local Differential Privacy Approa...

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2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023

作者： Waheed, Nazar Khan, Fazlullah Mastorakis, Spyridon Jan, Mian Ahmad Alalmaie, Abeer Z. Nanda, Priyadarsi School of Electrical and Data Engineering University of Technology Sydney Sydney Australia Abdul Wali Khan University Department of Computer Engineering Mardan Pakistan University of Notre Dame Computer Science and Engineering Department United States

ISBN: (纸本)9798350346473

The rapid expansion of Internet of Things (IoT) devices in smart homes has significantly improved the quality of life, offering enhanced convenience, automation, and energy efficiency. However, this proliferation of connected devices raises critical concerns regarding security and privacy of the user data. In this paper, we propose a differential privacy-based system to ensure comprehensive security for data generated by smart homes. We employ the randomized response technique for the data and utilize Local Differential Privacy (LDP) to achieve data privacy. The data is then transmitted to an aggregator, where an obfuscation method is applied to ensure individual anonymity. Furthermore, we implement the Hidden Markov Model (HMM) technique at the aggregator level and apply differential privacy to the private data received from smart homes. Consequently, our approach achieves a dual layer of privacy protection, addressing the security concerns associated with IoT devices in smart cities. © 2023 IEEE.

关键词： Internet of things

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Hybrid AOA-TDOA Localization of a Moving Source By Single Receiver

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IEEE Transactions on Communications 2024年

作者： Pang, Dandan Wang, Gang Ho, K.C. Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China University of Missouri Department of Electrical Engineering and Computer Science ColumbiaMO65211 United States

This paper addresses the passive source localization problem using hybrid angle-of-arrival (AOA) and time-difference-of-arrival (TDOA) measurements observed by single stationary receiver at several time intervals, when the source is moving with a constant velocity trajectory. We first show that the localization problem cannot be achieved using a sequence of one kind of measurements (i.e., AOAs only or TDOAs only), but can be accomplished by using both AOA and TDOA observations together. Then we develop a parametric model by integrating AOA and TDOA, and then formulate a non-convex constrained weighted least squares (CWLS) problem that is applicable to the 2-D and 3-D scenarios for locating the source. Benefiting from the integrated model, the global solution of the CWLS problem is guaranteed without having local convergence or divergence issues. Furthermore, we conduct the mean square error analysis to validate that the proposed method is able to reach the Cramer-Rao lower bound accuracy under small Gaussian noise for the 2-D and 3-D cases. Simulation results also confirm the good performance of the proposed method. © 1972-2012 IEEE.

关键词： Time of arrival

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