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Cancellable template generation for speaker recognition based on spectrogram patch selection and deep convolutional neural networks

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International Journal of Speech Technology 2022年第3期25卷 689-696页

作者： El-Moneim, Samia A. Nassar, M.A. Dessouky, Moawad I. Ismail, Nabil A. El-Fishawy, Adel S. El-Samie, Fathi E. Abd Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt

Nowadays, biometric systems have replaced password-or token-based authentication systems in many fields to improve the security level. However, biometric systems are also vulnerable to security threats. Unlike passwords, biometric templates cannot be replaced if lost or compromised. To deal with issue of compromising biometric templates, template protection schemes have evolved to make it possible to replace the biometric templates. A cancellable biometric scheme is such a template protection scheme that can replace a biometric template, when it is stolen or lost. The biometric used here is speech. It is important to preserve user confidentiality. Cancellable biometrics is a new notion addressed for this problem. This paper presents a scheme for cancellable speaker recognition based on spectrogram patch selection. The simulation results reveal that the suggested approach is practical, and it satisfies the desired criteria such as renewability, security and performance. The accuracy of the proposed cancellable speaker recognition scheme reaches 98.75% with a Convolutional Neural Network (CNN) composed of three layers. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

关键词： Biometrics

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Investigating the Use of Ray Tracing for Signal-Level Radar Simulation in Space Surveillance 5

Investigating the Use of Ray Tracing for Signal-Level Radar ...

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5th International Conference on Information Communication and Signal Processing, ICICSP 2022

作者： Martin, Mogamat Yaaseen Winberg, Simon Gaffar, Yunus Abdul MacLeod, David University of Cape Town Department of Electrical Engineering Cape Town South Africa Advanced Computer Engineering Lab Centre for High Performance Computing Cape Town South Africa

ISBN: (纸本)9781665485890

The growing number of objects in the Low Earth Orbit is becoming increasingly concerning to astronomers and space missions - particularly due to the limitations in tracking accuracy due to the availability and placements of surveillance sensors. This paper connects to this issue, presenting the development of an open-source, ray-traced, signal-level pulsed radar simulator for use in exploring and planning space monitoring solutions without using real-time data feeds. The simulator was also developed around the use of the NVIDIA® OptiX™ engine to accommodate its ray-tracing features and accelerate performance. This was designed to aid astronomers and researchers in space situational awareness applications through the simulation of radar designs for orbital surveillance experiments. The developed tool was also compared against a more streamlined application that used point-model approximations for quick-look simulations, and the trade-offs between both simulators were evaluated. While the use of ray tracing resulted in significant speed costs, it was found that the algorithm also introduced more realistic results relative to point-model simulations - providing various advantages in scenarios involving shadowing and multiscatter. © 2022 IEEE.

关键词： Ray tracing

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An Overview of the Smart Grid Attributes, Architecture and Components 2nd

An Overview of the Smart Grid Attributes, Architecture and C...

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2nd International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2022

作者： Al-Kaabi, Murtadha Al Igeb, Bahaa Hussein Ali, Sarah Yahya School Building Department Rusafa 3 Ministry of Education Baghdad Iraq Department of Electrical and Heat Engineering Engineering Academy People’s Friendship University of Russian Moscow Russia Computer Science Department Dijlah University College Baghdad Iraq

ISBN: (纸本)9783031252730

The smart grid is much automated from which it can be integrated the main supply with distributed generation (DG) sources (mostly renewable), the energy storage systems (ESSs), and advanced metering infrastructure. Due to using high technology devices in generation and distribution systems, the smart grid represents an advanced digital system. For example, the power flow in two ways, adaptable, sustainable, self-healing, and flexible with the prediction under various uncertainties. This review paper gives a brief idea of the smart grid by highlighting on smart grid definitions, a comparison of smart grid versus traditional grid, the attributes and benefits of smart grids, smart grid architecture, smart grid applications, and the challenges to smart grid implementation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart power grids

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Optimal Placement of Phasor Measurement Units Ensuring Power System Observability 14

Optimal Placement of Phasor Measurement Units Ensuring Power...

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14th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2022

作者： Rimal, Bishal Paudel, Nirmal Bhattarai, Aayush Kantipur Engineering College Department of Computer and Electronics Engineering Lalitpur Nepal Pulchowk Campus Department of Electrical Engineering Lalitpur Nepal Pulchowk Campus Department of Mechanical and Aerospace Engineering Lalitpur Nepal

ISBN: (纸本)9781665493345

Optimal Phasor measurement unit (PMU) placement is the strategic placement of a minimum number of PMUs to ensure power system observability. Optimal PMU placement (OPP) is essential to overcome the economic burden during the deployment of PMU on every bus. A strategy integrated with the modified Simulated Annealing (SA) algorithm is proposed in this paper with the consideration of the effect of the radial buses during the OPP problem. To recognize the superior placement set from diverse solutions given by the meta-heuristic algorithm, a placement set with the least number of PMUs and a higher system observability redundancy index (SORI) is used. In addition to modified SA, the strategy of ensuring or restricting the PMU placement on the radial bus has been implemented in MATLAB. In addition to the normal case, cases for single PMU outage and zero injection bus (ZIB) have been implemented in IEEE 14-bus, 30-bus, 57-bus, and 118-bus systems. The algorithm has been also used on the existing 90-bus Integrated Nepal Power System. The result of the proposed strategy on modified SA has improved the result in terms of the optimal number of PMUs, the probability of finding an optimal number of PMUs, and SORI. For normal cases, the number of PMUs required for complete power system observability is found to be in the range of 28-33% of the total number of buses. Similarly, with the consideration of single PMU outages and ZIB, the number of PMUs required is found to be in the range of 57-70% and 21-26% respectively. © 2022 IEEE.

关键词： Simulated annealing

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Pipelined CPU-GPU Scheduling to Reduce Main Memory Accesses 21

Pipelined CPU-GPU Scheduling to Reduce Main Memory Accesses

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Proceedings of the International Symposium on Memory Systems

作者： Daniel Gerzhoy Donald Yeung Department of Electrical and Computer Engineering University of Maryland at College Park

ISBN: (纸本)9781450385701

Heterogeneous microprocessors integrate a CPU and GPU on the same chip, affording low-overhead communication between the two. Often times, large array data structures are communicated from the CPU to the GPU and back. While the on-chip cache hierarchy can support such CPU-GPU producer-consumer sharing, this does not happen due to poor temporal reuse. Because the data structures can be quite large, by the time the consumer reads the data, it has been evicted from cache even though the producer had brought it on-chip when it originally wrote the data. As a result, the CPU-GPU communication happens through main *** paper exploits the on-chip caches in a heterogeneous microprocessor to improve CPU-GPU communication efficiency. We divide streaming computations executed by the CPU and GPU that exhibit producer-consumer sharing into chunks, and overlap the execution of CPU chunks with GPU chunks in a software pipeline. To enforce data dependences, the producer executes one chunk ahead of the consumer at all times. We also propose a low-overhead synchronization mechanism in which the CPU directly controls thread-block scheduling on the GPU to maintain the producer's "run-ahead distance" relative to the consumer. By adjusting the chunk size or run-ahead distance, we can make the CPU-GPU working set fit in the last-level cache, thus permitting the producer-consumer sharing to occur through the LLC. We show through simulation that our technique reduces the number of DRAM accesses by 30.4%, improves performance by 26.8%, and lowers memory system energy by 27.4%.

关键词： producer-consumer communication software pipelining integrated GPUs

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Retention Analysis of Ferroelectric FETs with Gate-Side Injection for Vertical NAND Storage

Retention Analysis of Ferroelectric FETs with Gate-Side Inje...

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2025 IEEE International Reliability Physics Symposium, IRPS 2025

作者： Qin, Yixin Chakraborty, Saikat Zhao, Zijian Ma, Sizhe Jung, Moonyoung Kim, Kijoon Lim, Suhwan Seo, Kwangyou Kim, Kwangsoo Kim, Wanki Ha, Daewon Narayanan, Vijaykrishnan Kulkarni, Jaydeep P. Ni, Kai University of Notre Dame Department of Electrical Engineering Notre Dame 46556 IN United States The Univeristy of Texas at Austin Department of Electrical and Computer Engineering Austin 78712 TX United States Samsung Electronics Co. Ltd Gyeonggi-do Hwaseong-si South Korea Pennsylvania State University Department of Computer Science and Engineering State College 16802 PA United States

ISBN: (纸本)9798331504779

This study investigates the retention behavior of gate-side injection ferroelectric FETs for vertical NAND applications. Experimental results demonstrate that thicker blocking oxide layers enhance the initial memory window but result in greater retention loss at elevated temperatures due to the higher depolarization field within the ferroelectric layer. Additionally, thinner ferroelectric layers exhibit accelerated retention degradation, while thicker ferroelectric layers provide improved stability and polarization retention over time. TCAD simulations align closely with the experimental observations, providing a detailed understanding of the interplay between polarization, charge trapping, and depolarization fields. These findings offer valuable insights into optimizing layer thicknesses to enhance the retention characteristics and reliability of future vertical ferroelectric NAND storage solutions. © 2025 IEEE.

关键词： Charge Trapping FeFET FeNAND Gate-Side Injection(GSI) Polarization

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Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features

IEEE Open Journal of Engineering in Medicine and Biology

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IEEE Open Journal of engineering in Medicine and Biology 2024年 5卷 261-270页

作者： Tsai, Hung-Wen Chiou, Chien-Yu Yang, Wei-Jong Hsieh, Tsan-An Chen, Cheng-Yi Hsu, Che-Wei Lin, Yih-Jyh Hsieh, Min-En Yeh, Matthew M. Chen, Chin-Chun Shen, Meng-Ru Chung, Pau-Choo National Cheng Kung University Department of Pathology National Cheng Kung University Hospital College of Medicine Tainan701 Taiwan National Cheng Kung University Department of Electrical Engineering Tainan701 Taiwan National Chin-Yi University of Technology Department of Artificial Intelligence and Computer Engineering Taichung411030 Taiwan National Cheng Kung University Institute of Computer and Communication Engineering Tainan701 Taiwan National Cheng Kung University College of Medicine Department of Cell Biology and Anatomy Tainan701 Taiwan National Cheng Kung University Department of Surgery National Cheng Kung University Hospital College of Medicine Tainan701 Taiwan University of Washington School of Medicine Department of Laboratory Medicine and Pathology SeattleWA98195 United States National Cheng Kung University Department of Statistics Tainan701 Taiwan National Cheng Kung University Department of Pharmacology National Cheng Kung University Hospital College of Medicine Tainan701 Taiwan

Goal: The early diagnosis and treatment of hepatitis is essential to reduce hepatitis-related liver function deterioration and mortality. One component of the widely-used Ishak grading system for the grading of periportal interface hepatitis is based on the percentage of portal borders infiltrated by lymphocytes. Thus, the accurate detection of lymphocyte-infiltrated periportal regions is critical in the diagnosis of hepatitis. However, the infiltrating lymphocytes usually result in the formation of ambiguous and highly-irregular portal boundaries, and thus identifying the infiltrated portal boundary regions precisely using automated methods is challenging. This study aims to develop a deep-learning-based automatic detection framework to assist diagnosis. Methods: The present study proposes a framework consisting of a Structurally-REfined Deep Portal Segmentation module and an Infiltrated Periportal Region Detection module based on heterogeneous infiltration features to accurately identify the infiltrated periportal regions in liver Whole Slide Images. Results: The proposed method achieves 0.725 in F1-score of lymphocyte-infiltrated periportal region detection. Moreover, the statistics of the ratio of the detected infiltrated portal boundary have high correlation to the Ishak grade (Spearman's correlations more than 0.87 with p-values less than 0.001) and medium correlation to the liver function index aspartate aminotransferase and alanine aminotransferase (Spearman's correlations more than 0.63 and 0.57 with p-values less than 0.001). Conclusions: The study shows the statistics of the ratio of infiltrated portal boundary have correlation to the Ishak grade and liver function index. The proposed framework provides pathologists with a useful and reliable tool for hepatitis diagnosis. © 2020 IEEE.

关键词： Feature extraction

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Enhancing Building Safety Through Machine Learning-Based Smoke Detection 5

Enhancing Building Safety Through Machine Learning-Based Smo...

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5th IEEE International Conference on Advances in electrical, computing, Communication and Sustainable Technologies, ICAECT 2025

作者： Mohamed, Sulaiman Syed Judeson Antony Kovilpillai, J. Pragya Mir, Mahmood Hussain Golda Brunet, R. Mir, Tawseef Ahmad Alliance School of Advanced Computing Alliance University Bangalore India Government College of Engineering Department of Computer Science & Engineering Thanjavur India

ISBN: (纸本)9798350356236

Smoke detection in surveillance systems plays a crucial role in ensuring the safety and security of various environments, including buildings, forests, and industrial sites. In this paper, a comprehensive analysis of machine learning algorithms applied to smoke detection is presented. The proposed technique is validated using the Smoke Detection Dataset from Kaggle. The dataset comprises a diverse collection of images captured in different scenarios, including both smoke and non-smoke instances. The performance of various machine learning classifiers was evaluated. This included ensemble methods Random Forest (RF), Gradient Boosting (GB), AdaBoost (AB), linear models Logistic Regression (LR), kernel methods Support Vector Machine (SVM), decision-based methods Decision Tree (DT), and nearest neighbor methods K-Nearest Neighbors (KNN). Their precision, recall, AUC-ROC score, and Intersection over Union (IoU) are measured to assess their effectiveness in smoke detection. The results highlight that classifiers such as RF, DT, KNN, GB and AdaBoost achieve outstanding performance, with perfect scores in multiple metrics. © 2025 IEEE.

关键词： Random forests

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IoT Based Human Biometric System Using Alcohol Level Detection for Driver Security 1

IoT Based Human Biometric System Using Alcohol Level Detecti...

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1st International Conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023

作者： Sinha, Anurag Kumar, Nitish Ticku, Amrita Modi, Vyom Shah, Meghal Shrivastava, Kapil School of Computing and Information Sciences Ignou New Delhi India Lovely Professional University Department of Computer Science Punjab Phagwara144001 India Bharti Vidyapeeth's College of Engineering India India Faculty of Engineering Marwadi Education Foundation Gujarat Rajkot360006 India Charotar University of Science & Technology Department of Computer Science & Engineering Gujarat 388421 India Department of Computer Engineering and Applications GLA University Mathura India

ISBN: (纸本)9798350330915

In today's society, driving after intoxication has become a major factor in traffic accidents. It is common knowledge that operating a vehicle while intoxicated is a major contributing factor in a significant number of accidents. The effects of drunk driving go beyond the drunk driver;they also affect other drivers and passengers in the same vehicle. As a result, this growing threat needs to be addressed immediately. Our project's goal is to create a system that uses the Internet of Things (IoT) to find traces of alcohol in someone's breath and apply preventive measures in order to effectively address this issue. Although there are laws against drunk driving, it is difficult to enforce them widely because law enforcement cannot constantly be present on the roads to spot drunk drivers. This restriction increases the chance of accidents significantly. In order to reduce future risks, a trustworthy system that can recognize and discourage drunk drivers is urgently needed. Drunk driving deaths are increasing, so we need to figure out how to reduce these kinds of deaths. The breath analyzing sensor used in the suggested system is the MQ-3, which calculates the breath alcohol content of an individual. The amount of alcohol that is allowed in the blood in India is 0.03. The engine won't start if the person's blood alcohol content is higher than this limit, making it impossible for them to drive. Additionally, the system will send an alert, possibly through a Raspberry Pi, to a friend or relative, providing the exact location using GPS coordinates. This notification serves as a precautionary measure to keep others informed about the situation. Implementing such a system can contribute significantly to reducing accidents related to alcohol consumption. In conclusion, detectors like the one proposed in this project hold immense significance in preventing the loss of life and property caused by reckless driving under the influence of alcohol. © 2023 IEEE.

关键词： Internet of things

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Analytical Study of the Features and Parameters of Off-Angle Iris Image vs. Deep Learning Model

Analytical Study of the Features and Parameters of Off-Angle...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Suleiman, Aghiad Khedr Shafek, Darin Mahfuri, Mahmoud Khishe, Mohammad Saeed, Ali Ghwanmeh, Sameh Alma'Moon University College Cybersecurity and Cloud Computing Technologies Engineering Dept. Baghdad Iraq Alma'Moon University College Computer Engineering Techniques Dept. Baghdad Iraq International University for Science and Technology Computer and Information Technology Department Syria Innovation Center for Artificial Intelligence Applications Yuan Ze University Taiwan Jadara Research Center Jadara University Jordan Jordan Computer Center Northern Technical University Ninevah Iraq College of Computer Information Technology Computer Science Dept American University in the Emirates United Arab Emirates

ISBN: (纸本)9798350369106

This paper presents an analytical study and a technique for extracting the features of a common case of images of the iris called off-angle iris which was taken for persons identification systems. The main problem when using biological iris measurements to identify the persons is the difficulty of identifying and extracting features of the iris. This problem is increasing when dealing with off-angle iris and it leads to decreased system accuracy and increased system rate error. In return, all the transfer learning techniques face difficulties in the case of heavily degraded data and partially occluded, and off-angle. A new method has a whole new methodology to deal with the image as it is without transformation processes. A new algorithm has been included for extracting features of the iris through the pupil switching points. The most discriminating points of the iris depend on the biological human eye statistics and analytical study. It has been trained and tested on the common images of the off-angle iris database so-called: 'CASIA Iris 1.0'. It has been implemented in the MATLAB environment. The results showed the efficiency of this technique, high precision and more importantly low failed acceptance rate. It emphasized that it is adaptive as well as efficiency improvement of the system. © 2024 IEEE.

关键词： Contrastive Learning

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