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9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023

作者： Angalakuditi, Hindu Bhowmik, Biswajit National Institute of Technology Karnataka BRICS Laboratory Department of Computer Science and Engineering Surathkal Mangalore575025 India

ISBN: (纸本)9798350397376

The COVID-19 pandemic has affected our lives in many ways. Many people faced different challenges during the pandemic to accomplish their daily activities. Many people faced various challenges during the pandemic might have been very stressful, overwhelming, and disgusting. Therefore, it is common to feel stress, irritation, mood swings, and anxiety during the pandemic. Different methodologies by medical practitioners are being taken. Additionally, researchers from academia are also trying to strengthen the methods. Unfortunately, the way for automatic, continuous, and invisible stress detection by the researchers are insufficient and not studied in depth. It becomes essential in the post-pandemic scenario due to COVID-19 disease. This paper studies the impact of stress on people during the COVID-19 pandemic. The study includes origin, classification, impact on health, prevention solutions, etc. Further statistics on the affected people by the stress during the period are provided. © 2023 IEEE.

关键词： COVID-19

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Speed-Optimized Implementation of Fast Chirplet Decomposition Algorithm on FPGA-SoC

Speed-Optimized Implementation of Fast Chirplet Decompositio...

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2023 IEEE International Conference on Electro Information Technology, eIT 2023

作者： Fite, Austin Gromov, Mikhail Fang, Tianyang Saniie, Jafar Illinois Institute of Technology Ecasp Research Laboratory Department of Electrical and Computer Engineering ChicagoIL United States

ISBN: (纸本)9781665493765

In ultrasonic nondestructive evaluation (NDE) of materials an essential step in characterizing an ultrasonic signal is decomposing the patterns of multiple interfering echoes. The Chirplet Transform (CT) is a powerful method to analyze the echoes in an ultrasonic signal. However, CT analysis is computationally heavy and impractical. Motivated by achieving real-time execution of the CT this research presents a speed-optimized implementation of the chirplet functions on FPGA. Chirplet echo generation used in Fast Chirplet Decomposition (FCD) Algorithm for ultrasonic signal analysis necessitates the frequent generation of chirplet functions with a 6-degree of freedom associated with chirplet parameters including the amplitude scaler;the time of arrival;the Gaussian envelope scaler;the phase of the chirplet;the center frequency and the frequency sweep. By minimizing the processing time of the chirplet generation, the FCD algorithm can be implemented efficiently on FPGA System-on-Chip (SoC). This study presents the hardware realization of the chirplet function on FPGA which is 37 times faster compared to using a Teensy 4.0 microcontroller, and 146 times faster than a highly popular Raspberry Pi 4.0 single board computer. © 2023 IEEE.

关键词： Nondestructive examination

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Integrated Load Consumption and PV Output Forecasting of Net-zero Energy Buildings Considering KNN-GAN Data Augmentation

Integrated Load Consumption and PV Output Forecasting of Net...

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2023 International Conference on Power Energy Systems and Applications, ICoPESA 2023

作者： Iao, Hou-Wang Lao, Keng-Weng University of Macau State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350345605

Net-zero energy building (NZEB) is an emerging active carbon reduction solution. It achieves on-site renewable generations and zero balance between supply and demand. In NZEB, the photovoltaic (PV) accounts for the majority of distributed generations. However, its random and stochastic nature aggravates the accuracy of look-ahead PV output forecasting. Meanwhile, the spatial-temporal uncertainty of customers' electricity consumption can also result in improper load predictions. Besides, missing data in the late-model NZEB energy system enhances the difficulty of accurate forecasting. In this paper, a LSTM and Transformer-based forecasting models with K-nearest Neighbors (KNN) data interpolation and Generative Adversarial Network (GAN) data augmentation are demonstrated for load consumption and PV output forecasting of NZEB. The proposed framework obtains significant improvements in terms of root-mean-square error (RMSE) by 7.168 kW and 4.603 kW, in load and PV power forecasting respectively. © 2023 IEEE.

关键词： Forecasting

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TARGETED BEAMFORMING ACTIVE NOISE CONTROL BASED ON DISTURBANCE METRICS 10

TARGETED BEAMFORMING ACTIVE NOISE CONTROL BASED ON DISTURBAN...

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10th Convention of the European Acoustics Association, EAA 2023

作者： Zachos, Panagiotis Moiragias, George Mourjopoulos, John Audio and Acoustic Technology Group Wire Communications Laboratory Department of Electrical Computer Engineering University of Patras Greece

ISBN: (纸本)9788888942674

This work proposes a novel headphone Active Noise Control scheme based on the targeted attenuation of sources that are deemed disturbing for listeners. Initially, a novel listening test determines the disturbance of distinct noises that coexist within background noise based on their class. The listening test is based on such predetermined spatial scenes, binaurally auralized and presented via generic headphones. The disturbance metric derived from such test, guides the operation of the proposed headphone ANC: any complex auditory scene is subsequently analyzed and via a Sound Event and Localization model, a beamformer is steered to the source deemed to be the most disturbing. A Time-Domain Beamformer, driven by a phased array is formed by the two already existing reference microphones commonly found in the outer shell of ANC-Enabled headphones and guides the multi-reference ANC controller in order to provide an improved attenuation of the primary disturbing source, while also significantly attenuating the background noise field to acceptable levels. © 2023 Zachos et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

关键词： Beamforming

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Modeling and Performance Analysis of UAV-Aided Millimeter Wave Cellular Networks with Stochastic Geometry

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China Communications 2024年第6期21卷 146-162页

作者： Li Junruo Wang Yuanjie Cui Qimei Hou Yanzhao Tao Xiaofeng National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and TelecommunicationsBeijing 100876China National Computer Network Emergency Response Technical Team/Coordination Center of China(CNCERT/CC) Beijing 100029China Department of Broadband Communication Peng Cheng LaboratoryShenzhen 518055China

UAV-aided cellular networks,millimeter wave(mm-wave) communications and multi-antenna techniques are viewed as promising components of the solution for beyond-5G(B5G) and even 6G *** leveraging the power of stochastic geometry,this paper aims at providing an effective framework for modeling and analyzing a UAV-aided heterogeneous cellular network,where the terrestrial base stations(TBSs) and the UAV base stations(UBSs) coexist,and the UBSs are provided with mm-wave and multi-antenna *** modeling the TBSs as a PPP and the UBSs as a Matern hard-core point process of type Ⅱ(MPH-Ⅱ),approximated but accurate analytical results for the average rate of the typical user of both tiers are derived through an approximation method based on the mean interference-to-signal ratio(MISR) *** influence of some relevant parameters is discussed in detail,and some insights into the network deployment and optimization are *** results show that some trade-offs are worthy of being considered,such as the antenna array size,the altitude of the UAVs and the power control factor of the UBSs.

关键词： average rate downlink millimeter wave point process theory SIR stochastic geometry UAVaided cellular networks

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Beamforming headphone ANC for targeted noise attenuation 154

Beamforming headphone ANC for targeted noise attenuation

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AES Europe 2023: 154th Audio engineering Society Convention

作者： Zachos, Panagiotis Mourjopoulos, John Audio and Acoustic Technology Group Wire Communications Laboratory Department of Electrical Computer Engineering University of Patras Greece

ISBN: (纸本)9781713877783

A novel Targeted through Beamforming Active Noise Control (TBANC) approach for headphones is presented which achieves an improved noise reduction via targeting of a specific, potentially disturbing noise source in the presence of the diffuse field noise interference which is addressed by current ANC methods. The method utilizes the signals captured by two reference microphones, one on each headphone earcup, in a multi-reference ANC scheme while a phased array is formed by these two microphones that commonly reside on top of the headphone earcups. By employing a simple Time-Delay Beamforming approach to target the primary, undesired noise source, the proposed ANC successfully attenuates this source while also achieving a significant reduction of the diffuse noise. © 2023 AES Europe. All Rights Reserved.

关键词： Beamforming

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The Role of Generative AI in Deepfake Detection: A Systematic Literature Review

The Role of Generative AI in Deepfake Detection: A Systemati...

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International Conference on Smart Business and technology, ICSBT 2024

作者： Acim, Btissam Kharmoum, Nassim Lagmiri, Souad Najoua Ziti, Soumia Department of Computer Science Intelligent Processing & Security of Systems Faculty of Sciences Mohammed V University in Rabat Rabat Morocco Rabat Morocco IT Networking Security and Management Laboratory Higher Institute of Management Administration and Computer Engineering Rabat Morocco

ISBN: (纸本)9783031866975

There is a possibility that deepfakes will increase a great deal of false information in a very realistic way, but it seems that today such technology appears to be extremely dangerous. While generative Artificial Intelligence (AI) does expand possibilities and give an opportunity to achieve terrific outcomes and has innumerable potential uses. This systematic literature review focuses on the role of generative AI in the improvement of deepfake detection technologies, providing a comparison between different methods and assessing their effectiveness. By analyzing recent studies, it depicts the techniques employed most frequently in deepfake detection, such as the ones concentrating on the intricacies between the visual and auditory elements, the temporal domains, as well as any minor signs of alteration. Due to the fact that generative AI is rapidly improving, the methods that are used to detect its use are often inadequate, which calls for more studies on the subject matter. Besides, by combining audio and visual elements when performing the analysis, calling it as a method that can be useful in focusing the detection growth potential with diverse and unstructured data. Also, this study evaluates the advantages and limitations of the techniques existing today and demonstrates their relative effectiveness in controlled and real conditions. Clarifying that measures aimed at detecting AI generated content should be preoccupied with a technique that is able to keep pace with changes in generative AI. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Generative adversarial networks

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A Unified Framework for Information-Theoretic Generalization Bounds 37

A Unified Framework for Information-Theoretic Generalization...

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37th Conference on Neural Information Processing Systems, NeurIPS 2023

作者： Chu, Yifeng Raginsky, Maxim Department of Electrical and Computer Engineering and Coordinated Science Laboratory University of Illinois UrbanaIL61801 United States

ISBN: (纸本)9781713899921

This paper presents a general methodology for deriving information-theoretic generalization bounds for learning algorithms. The main technical tool is a probabilistic decorrelation lemma based on a change of measure and a relaxation of Young's inequality in Lψp Orlicz spaces. Using the decorrelation lemma in combination with other techniques, such as symmetrization, couplings, and chaining in the space of probability measures, we obtain new upper bounds on the generalization error, both in expectation and in high probability, and recover as special cases many of the existing generalization bounds, including the ones based on mutual information, conditional mutual information, stochastic chaining, and PAC-Bayes inequalities. In addition, the Fernique-Talagrand upper bound on the expected supremum of a subgaussian process emerges as a special case. © 2023 Neural information processing systems foundation. All rights reserved.

关键词： Stochastic systems

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IoT Systems and Battery-Based Energy Sources

IoT Systems and Battery-Based Energy Sources

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2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023

作者： Sajja, Komal Sai Bhowmik, Biswajit Brics Laboratory National Institute of Technology Karnataka Surathkal Department of Computer Science and Engineering Mangalore575025 India

ISBN: (纸本)9798350322309

The Internet of Things (IoT) has rapidly expanded over the past few years and has begun taking over many aspects of our lives, including hospitals, houses, roadways, and much more. Due to its expansion, IoT may become the future technology in the following years. IoT is a collection of real-world items equipped with electronics, software, networks, and sensors to collect and exchange data. To power IoT devices, there must be a proper understanding of the energy consumption of thesensors and the kind of energy sources to be used. This paper provides state-of-the-art battery-powered IoT systems. First, the study discusses IoT's architecture and various applications. The study then extends IoT energy resources. Next, the study examines the use of batteries in IoT systems, their advantages and disadvantages, followed by unravelling the ambient energy harvesting mechanism. Finally, we present related works on battery-based IoT systems. © 2023 IEEE.

关键词： Internet of things

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Proposed Privacy Preservation Technique for Color Medical Images

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Intelligent Automation & Soft Computing 2023年第4期36卷 719-732页

作者： Walid El-Shafai Hayam A.Abd El-Hameed Noha A.El-Hag Ashraf A.M.Khalaf Naglaa F.Soliman Hussah Nasser AlEisa Fathi E.Abd El-Samie Department of Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Electrical Communications Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt Higher Institute of Commercial Science Management Information SystemsEl-Mahala El-KobraEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia

Nowadays,the security of images or information is very *** paper introduces a proposed hybrid watermarking and encryption technique for increasing medical image ***,the secret medical image is encrypted using Advanced Encryption Standard(AES)***,the secret report of the patient is embedded into the encrypted secret medical image with the Least Signiﬁcant Bit(LSB)watermarking *** that,the encrypted secret medical image with the secret report is concealed in a cover medical image,using Kekre’s Median Codebook Generation(KMCG)***,the stego-image obtained is split into 16 ***,it is sent to the *** adopt this strategy to send the secret medical image and report over a network *** proposed technique is assessed with different encryption quality metrics including Peak Signal-to-Noise Ratio(PSNR),Correlation Coefﬁcient(Cr),Fea-ture Similarity Index Metric(FSIM),and Structural Similarity Index Metric(SSIM).Histogram estimation is used to conﬁrm the matching between the secret medical image before and after *** results demonstrate that the proposed technique achieves good performance with high quality of the received medical image and clear image details in a very short processing time.

关键词： LSB steganography AES algorithm KMCG algorithm

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