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2nd International Conference on Connected Objects and Artificial Intelligence, COCIA 2024

作者： Awotunde, Joseph Bamidele Brahma, Biswajit Adeniyi, Abidemi Emmanuel Lauretta Nkonyeasua, Edogbo Imoize, Agbotiname Lucky Mejdoub, Youssef Department of Computer Science Faculty of Information and Communication Sciences University of Ilorin Ilorin240003 Nigeria McKesson Corporation 32559 Lake Bridgeport Street FremontCA94555 United States Department of Computer Science Bowen University Iwo Nigeria Department of Electrical and Electronics Engineering Faculty of Engineering University of Lagos Akoka Lagos100213 Nigeria RITM Laboratory Higher School of Technology ESTC Hassan II University Casablanca Morocco

ISBN: (纸本)9783031704109

In the digital age, protecting the security and privacy of sensitive data has become of the utmost importance, particularly while conducting online financial transactions. This paper intends to build an advanced hybrid cryptography model, combining the strengths of the Rivest-Shamir-Adleman (RSA) and Advanced Encryption Standard (AES) algorithms, to improve the authentication and security procedures of online banking systems. To provide a strong and effective encryption framework, the suggested model makes use of RSA’s asymmetric key advantages and AES’s symmetric key capabilities. Because AES is quick and efficient at encrypting large amounts of data, it is used to optimize performance while encrypting the actual data being transmitted. Meanwhile, RSA is used to solve the problem of key distribution, secure the exchange of symmetric keys, and enable secure communication. The goal of the paper is to create an extensive system that incorporates this improved hybrid cryptography model into the online banking authentication procedure. User authentication, transaction verification, and data secrecy are the system’s three main building blocks. To ensure the viability and feasibility of the suggested paradigm in real-world online banking scenarios, implementation difficulties such as key management, algorithm integration, and performance optimization are addressed. This research advances cryptographic methods of contemporary banking security by utilizing the advantages of AES and RSA in a hybrid approach. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Adversarial machine learning

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A New, Reconfigurable Circuit Offering Functionality of AND and OR Logic Gates for Use in Algorithms Implemented in Hardware 33

A New, Reconfigurable Circuit Offering Functionality of AND ...

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33rd IEEE International Conference on Microelectronics, MIEL 2023

作者： Talaska, Tomasz Dlugosz, Rafal Nikolic, Tatjana Nikolic, Goran Stefanski, Tomasz Dlugosz, Michal Talaska, Michal Bydgoszcz University of Science and Technology Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz85-796 Poland Aptiv Services Poland Kraków30-399 Poland University of Niš Faculty of Electronic Engineering Niš18000 Serbia Gdanśk Univeristy of Technology Faculty of Electronics Telecommunications and Informatics Gdanśk80-233 Poland Poznan University of Technology Faculty of Control Robotics and Electrical Engineering Poznan60-965 Poland Complex of Electronics Schools Bydgoszcz85-092 Poland

ISBN: (纸本)9798350347760

The paper presents a programmable (using a 1-bit signal) digital gate that can operate in one of two OR or AND modes. A circuit of this type can also be implemented using conventional logic gates. However, in the case of the proposed circuit, compared to conventional solutions, the advantage is a much smaller number of transistors necessary for its implementation. Circuit is also much faster than its conventional counterpart. The logic gate was implemented in the 180nm CMOS technology and verified using Hspice simulations. There are many possible applications for this gate, mostly in artificial intelligence and pattern recognition algorithms implemented at the transistor level. © 2023 IEEE.

关键词： Logic gates

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A Way to Mark Attentance using Face Recognition using PL

A Way to Mark Attentance using Face Recognition using PL

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Vivek V Mahesh TR Department of Computer Science and Engineering Faculty of Engineering and Technology Jain (Deemed-to-be University) Bangalore

The computer system that is used to take attendance online is going to be upgraded as part of this project. This attendance tracking system is able to hold the technology known as facial recognition, which is a useful feature. This device helps students take attendance by utilizing both a biometric technology and artificial intelligence algorithms in one convenient package. When pupils enter the classroom, the face recognition software can identify them, making it useful for educational institutions of any kind. The existing system has a number of flaws that make it difficult to accurately record the attendance of both students and teachers. The approach makes it simpler to mark attendance and lowers the number of mistakes that might occur when doing *** students and teachers will gain a significant amount by utilizing these techniques. The ability to recognize people based on their faces is becoming increasingly significant in practically every industry. Face recognition techniques will be used to understand the faces. An attendance record is compared to the record that corresponds to it that was previously saved in the database. A student's photograph is used as a check point for this comparison.

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Multi-talker Verbal Interaction for Humanoid Robots

Multi-talker Verbal Interaction for Humanoid Robots

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Bartlomiej Klin Ryszard Beniak Michal Podpora Arkadiusz Gardecki Joanna Rut Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Department of Computer Science Opole University of Technology Faculty of Production Engineering and Logistics Opole University of Technology

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

Working in multi-talker mode is viable under certain conditions, such as the fusion of audio and video stimuli along with smart adaptive beamforming of received audio signals. In this article, the authors verify part of the researched novel framework, which focuses on adapting to dynamic interlocutor’s location changes in the engagement zone of humanoid robots during the multi-talker conversation. After evaluating the framework, the authors confirm the necessity of a complementary and independent method of increasing the interlocutor’s signal isolation accuracy. It is necessary when video analysis performance plummets. The authors described the leading cause as insufficient performance during dynamic conversations. The video analysis cannot derive a new configuration when the interlocutor’s speech apparatus moves beyond the expected margin and the video frame rate drops.

关键词： Automation Accuracy Array signal processing Humanoid robots Oral communication Human factors

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Estimation Large-Scale Fading Channels for Transmit Orthogonal Pilot Reuse Sequences in Massive MIMO System

Estimation Large-Scale Fading Channels for Transmit Orthogon...

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2022 International Conference on Intelligent technology, System and Service for Internet of Everything, ITSS-IoE 2022

作者： Abdullah, Qazwan Shah, Nor Shahida Mohd Hamzah, Shipun Salh, Adeb Mohamad, Mahathir Nordin, Shahilah Abu, Maisarah Albaom, Mohammed Abdo Sadeq, Safwan Community College of Yareem Ibb Yemen Universiti Tun Hussein Faculty of Engineering Technology Johor Malaysia Universiti Tun Hussein Faculty of Electrical and Electronic Engineering Johor Malaysia Universiti Tun Hussein Faculty of Applied Sciences and Technology Johor Malaysia Malaysia Faculty of Electrical Engineering Pulau Pinang Malaysia University Technical Malaysia Malacca Faculty of Electronic and Computer Engineering Malacca Malacca City Malaysia Universiti Putra Serdang Faculty of Computer Science and Information Technology Department of Computer Science Malaysia Universiti Teknologi Petronas Department of Mechanical Engineering Perak Malaysia

ISBN: (数字)9781665459983

ISBN: (纸本)9781665459983

Massive multiple-input multiple-output (MIMO) is a critical technology for future fifth-generation (5G) systems. Reduced pilot contamination (PC) enhanced system performance, and reduced inter-cell interference and improved channel estimation. However, because the pilot sequence transmitted by users in a single cell to neighboring cells is not orthogonal, massive MIMO systems are still constrained. We propose channel evaluation using orthogonal pilot reuse sequences (PRS) and zero forced (ZF) pre-coding techniques to eliminate channel quality in end users with poor channel quality based on channel evaluation, large-scale shutdown evaluation, and analysis of maximum transmission efficiency. We derived the lower bounds on the downlink data rate (DR) and signal-to-interference noise ratio (SINR) that can be achieved based on PRS assignment to a group of users where the number of antenna elements mitigated the interference when the number of antennas reaches infinity. The channel coherence interval limitation, the orthogonal PRS cannot be allocated to all UEs in each cell. The short coherence intervals able to reduce the PC and improve the quality of channel. The results of the modelling showed that higher DR can be achieved due to better channel evaluation and lower loss. © 2022 IEEE.

关键词： Fading channels

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Incremental Redundancy HARQ Communication Schemes applied to Energy Efficient IoT Systems

Incremental Redundancy HARQ Communication Schemes applied to...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Sérgio Miguel Silva Nuno T. Almeida Institute for Systems and Computer Engineering Technology and Science (INESC TEC) and Faculty of Engineering (FEUP) University of Porto Porto Portugal

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

The rapid proliferation of Internet of Things (IoT) systems, encompassing a wide range of devices and sensors with limited battery life, has highlighted the critical need for energy-efficient solutions to extend the operational lifespan of these battery-powered *** effective strategy for reducing energy consumption is minimizing the number and size of retransmitted packets in case of communication errors. Among the potential solutions, Incremental Redundancy Hybrid Automatic Repeat reQuest (IR-HARQ) communication schemes have emerged as particularly compelling options by adopting the best aspects of error control, namely, automatic repetition and variable *** work addresses the challenge by developing a simulator capable of executing and analysing several (H)ARQ schemes using different channel models, such as the Additive White Gaussian Noise (AWGN) and Gilbert-Elliott (GE) models. The primary objective is to compare their performance across multiple metrics, enabling a thorough evaluation of their *** results indicate that IR-HARQ outperforms alternative methods, especially in the presence of burst errors. Furthermore, its potential for further adaptation and enhancement opens up new ways for optimizing energy consumption and extending the lifespan of battery-powered IoT devices.

关键词： Energy consumption Wireless sensor networks Redundancy Rician channels Rayleigh channels Energy efficiency Sensor systems

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Transient receptor potential vanilloid-1 (TRPV1) is a mediator of noise-induced neural damage in zebrafish and mice

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science China Life sciences 2025年

作者： Ruicun Liu Boyu Luo Honglu Yan Qing Lin Wei Liu Xiaowei Hao Shuai Huang Zhenjun Luo Tuoyu Liu Jinyu Li Zhiyuan Shi Songzuo Liu Qing Yuan Yue Teng State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University) Ministry of Industry and Information Technology College of Underwater Acoustic Engineering Harbin Engineering University School of Medicine South China University of Technology Laboratory Department in Second Medical Center of PLA General Hospital Department of Urology the Third Medical Center of Chinese PLA General Hospital School of Pharmaceutical Science and Technology Faculty of Medicine Tianjin University

Sound pollution（noise） is an increasing environmental concern, particularly associated with neurological and neurobehavioral abnormalities. However, the molecular mechanisms underlying noise-induced neural damage remain unclear. In this study, we conducted transcriptional profiling of zebrafish to investigate the mechanisms underlying acoustic stimulation（1,000 Hz, 130 dB）. RNA sequencing and subsequent experiments revealed that TRPV1 is an important mediator of noise-induced neural damage in HuC（elavl3）-GFP transgenic zebrafish. The results demonstrated that inhibiting TRPV1 significantly mitigated noise-induced neural damage in zebrafish with trpv1 gene RNAi and in mice with Trpv1 knockout(Trpv1-/-). Specifically, TRPV1 antagonism significantly reduced neural damage in zebrafish and mice under noise exposure. Furthermore, activated TRPV1 could induce endoplasmic reticulum stress, leading to apoptosis and resulting in neural damage in mice and HEK293T cells. The findings of this study not only enhance our understanding of the molecular mechanisms underlying sound-induced neural damage but also highlight a novel target for drug intervention.

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Tuning of renewable energy bids based on energy risk management: Enhanced microgrids with pareto-optimal profits for the utility and prosumers

Energy Conversion and Economics

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Energy Conversion and Economics 2022年第3期3卷 156-169页

作者： Mohan, Vivek Antonis, Anjula Mary Jisma, M. Krishnakumar, Nila Bu, Siqi Department of Electrical and Electronics Engineering National Institute of Technology Tiruchirappalli Tamil Nadu Tiruchirappalli India Department of Electrical and Computer Engineering University of Toronto Toronto Canada Department of Electrical Sustainable Energy Faculty of Electrical Engineering Applied Mathematics and Computer Science Delft University of Technology Delft Netherlands Department of Electrical Engineering The Hong Kong Polytechnic University Kowloon SAR Hong Kong

The increasing penetration of renewable energy sources (RES) and electric vehicles (EVs) demands the building of a microgrid energy portfolio that is cost-effective and robust against generation uncertainties (energy risk). Energy risk may trigger financial risk in the local energy market, depending on bid values, cost of generation and price of upstream grid power. In this study, a microgrid energy portfolio is built based on adjustments to both the financial and energy risks. These risks are managed in two ways: (1) by pre-tuning and prioritizing the bid prices for wind and solar energy sources based on their relative levels of energy risk as quantified through a conditional value-at-risk (CVaR) approach;and (2) by co-optimizing the conflicting profits of the utility and prosumers using non-dominated sorting particle swarm optimization (NSPSO) to obtain a risk-adjusted Pareto-optimal energy mix. Thus, the utility predicts the net power balancing cost from the scheduling time horizon, thereby moderating the adverse effect that the uncertainties in renewable energy could have on the collective welfare. The proposed method is tested on a grid-connected CIGRE low-voltage (LV) benchmark microgrid with solar and wind sources, microturbines, and EVs. The results demonstrate that the obtained portfolio is realistic, welfare-optimized and cost-efficient. © 2022 The Authors. Energy Conversion and Economics published by John Wiley & Sons Ltd on behalf of The Institution of engineering and technology and the State Grid Economic & Technological Research Institute Co., Ltd.

关键词： Profitability

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Text Information Retrieval in Tetun: A Preliminary Study

arXiv

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arXiv 2024年

作者： de Jesus, Gabriel INESC TEC - Institute for Systems and Computer Engineering Technology and Science Portugal FEUP - Faculty of Engineering University of Porto Portugal

Tetun is one of Timor-Leste’s official languages alongside Portuguese. It is a low-resource language with over 932,400 speakers that started developing when Timor-Leste restored its independence in 2002. The media mainly uses Tetun, and more than ten national online newspapers actively broadcast news in Tetun every day. However, since information retrieval-based solutions for Tetun do not exist, finding Tetun information on the internet is challenging. This work aims to investigate and develop solutions that can enable the application of information retrieval techniques to develop search solutions for Tetun. We present a preliminary result of an experiment conducted on the task of ad-hoc retrieval in Tetun. © 2024, CC BY.

关键词： Information retrieval

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Exploring Large Language Models for Relevance Judgments in Tetun

arXiv

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arXiv 2024年

作者： de Jesus, Gabriel Nunes, Sérgio INESC TEC Institute for Systems and Computer Engineering Technology and Science Portugal FEUP Faculty of Engineering University of Porto Portugal

The Cranfield paradigm has served as a foundational approach for developing test collections, with relevance judgments typically conducted by human assessors. However, the emergence of large language models (LLMs) has introduced new possibilities for automating these tasks. This paper explores the feasibility of using LLMs to automate relevance assessments, particularly within the context of low-resource languages. In our study, LLMs are employed to automate relevance judgment tasks, by providing a series of query-document pairs in Tetun as the input text. The models are tasked with assigning relevance scores to each pair, where these scores are then compared to those from human annotators to evaluate the inter-annotator agreement levels. Our investigation reveals results that align closely with those reported in studies of high-resource languages. © 2024, CC BY.

关键词： Computational linguistics

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