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EMERGING thREAT of DEEP FAKE: HOW to IDENTIFY and PREVENT IT 6

EMERGING THREAT of DEEP FAKE: HOW to IDENTIFY and PREVENT IT

引用

6th international conference on Future Networks and Distributed systems, ICFNDS 2022

作者： Taha, Murooj Amer Khudhair, Wijdan Mahood Khudhur, Ahmed Mahmood Mahmood, Omar Abdulkareem Hammadi, Yousif I. Al-Husseinawi, Riyam Shihab Ahmed Aziz, Ahmed Bilad Alrafidain University College Department of Computer Engineering Techniques Diyala Iraq Department of Communications Engineering College of Engineering University of Diyala 32001 Iraq Bilad Alrafidain University College Department of Medical Instruments Engineering Techniques Diyala Iraq International Business Management Department Tashkent State University of Economics Tashkent Uzbekistan

ISBN: (纸本)9781450399050

Although manipulations of visual and aural media have been around for as long as there have been media, the relatively recent introduction of deep fakes has marked a turning point in the creation of fake information. Deep fakes are automated methods that allow the creation of fake information that is becoming increasingly difficult for human observers to see. these procedures are made possible by the most recent technological advancements in artificial intelligence and deep learning. Deep Learning is a powerful method that is now being implemented in a variety of industries, including natural language processing, computer vision, image processing, and machine vision. Deep fakes are created by the use of deep learning algorithms in order to synthesize and modify photos, videos, or sounds of a person, to the point that human people are unable to discern the fake from the real one. In this article, we present a workable description of deep fakes as well as an outline of the technology that lies underneath them. In order to assist people in thinking about the future of deep fakes, we outline the benefits of the deepfake as well as the potential threats. this study presents a complete analysis of deep fake methods and discusses the most effective strategies for preventing counterfeiting. © 2022 ACM.

关键词： Computer vision

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Research on Design Optimization and Simulation of Electrical Automation System Assisted by Artificial Intelligence

Research on Design Optimization and Simulation of Electrical...

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IEEE international conference on Civil Aviation Safety and Information Technology (ICCASIT)

作者： Zixuan Hu Yu Du School of Electrical and Electronic Engineering North China Electric Power University (Beijing) Beijing China School of International Education North China Electric Power University (Baoding) Baoding China

ISBN: (数字)9798350389418

ISBN: (纸本)9798350389425

this research investigates the implementation of artificial intelligence in the design optimization of electrical automation systems, with the objective of enhancing system configuration efficiency and minimizing energy usage. By integrating the differential evolution algorithm with the specific requirements of electrical automation, an intelligent optimization framework is developed to adaptively modify system configurations. this framework thoroughly assesses critical elements such as equipment selection, energy management, and response time throughout the design phase and employs artificial intelligence techniques to fine-tune algorithm parameters for optimal configuration. In the simulation phase, multi-scenario testing is employed to validate the real-world efficacy of the optimization framework. the simulation outcomes indicate that under high-load scenarios, the optimized framework achieves a 15% reduction in energy consumption and a 20% decrease in response time. Compared to traditional design approaches, the optimized system demonstrates superior performance in energy efficiency and response time, with the capability for dynamic adjustments based on real-time requirements, thereby showcasing the strengths of artificial intelligence in the design of complex systems. Detailed data analysis further confirms the effectiveness of the optimization framework, offering robust support for the intelligent design of electrical automation systems.

关键词： Energy consumption Automation Data analysis Heuristic algorithms Real-time systems Time factors Artificial intelligence Optimization Design optimization Testing

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INFORMATICS 2019 - IEEE 15th international Scientific conference on Informatics, proceedings

INFORMATICS 2019 - IEEE 15th International Scientific Confer...

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15th IEEE international Scientific conference on Informatics, INFORMATICS 2019

ISBN: (纸本)9781728131795

the proceedings contain 83 papers. the topics discussed include: totally bounded metric spaces and similarity detecting algorithms;on the carrier suppressed optical modulation methods for high capacity DWDM systems;significance of implementation of management information systems in the IPO chain for SMEs;towards automated translating natural language sentences into intensional constructions;optimization design for parallel coloring of a set of graphs in the high-performance computing;real-time processing of cybersecurity system data for attacker profiling;hierarchical clustering based on IndoorGML document;seeking relevant information sources;teachers attitudes towards implementing coding at schools;managing the implementation of a smart pedestrian network (SPN) system;and synergy of organizational patterns and aspect-oriented programming.

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thermodynamics of non-Abelian D4 lattice gauge theory via Quantum Metropolis Sampling 40

Thermodynamics of non-Abelian D4 lattice gauge theory via Qu...

引用

40th international Symposium on Lattice Field theory, LATTICE 2023

作者： Ballini, Edoardo Clemente, Giuseppe D'Elia, Massimo Maio, Lorenzo Zambello, Kevin Pitaevskii BEC Center Department of Physics University of Trento INFN-TIFPA Trento Institute for Fundamental Physics and Applications Via Sommarive 14 TrentoI-38123 Italy Platanenallee 6 Zeuthen15738 Germany Dipartimento di Fisica Università di Pisa INFN - Sezione di Pisa Largo Pontecorvo 3 PisaI-56127 Italy Aix Marseille Univ Université de Toulon CNRS CPT Marseille France

the possibility to use fault-tolerant Quantum Computers in the "Beyond the NISQ era" is a promising perspective: it could bring the implementation of Markov Chain Monte Carlo (MCMC) quantum algorithms on real machines. then, it would be possible to exploit the quantum properties of such devices to study the thermodynamic properties of the system. this also allows us to avoid the infamous sign problem, which plagues classical Monte Carlo simulations of several interesting systems - such as QCD in the presence of an external electric field or a finite chemical potential. In this work, we discuss the effectiveness of Quantum Metropolis Sampling in the study of thermodynamic properties of a non-Abelian gauge theory, based on the discrete D4 symmetry group. this is the first study of a non-Abelian Lattice Gauge theory by means of a quantum MCMC algorithm: we simulate the behavior of an ideal quantum Computer, aiming to demonstrate the feasibility of such simulations. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Markov processes

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WQEMS PLATFORM FOR INLAND SURFACE WATER BODIES' MONITORING: SERVING USER COMMUNITIES AND SUPPORTING EXPERTS' ANALYSES 9

WQEMS PLATFORM FOR INLAND SURFACE WATER BODIES' MONITORING: ...

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9th international conference on Remote Sensing and Geoinformation of the Environment, RSCy 2023

作者： Scarpino, M. Gabriella Matera, Marco Bauer, Philipp Manakos, Ioannis Kita, Afroditi Vlachos, Konstantinos Bozas, Aristeidis Serral, Ivette Moumtzidou, Anastasia Gialampoukidis, Ilias Vrochidis, Stefanos SERCO Italia S.p.A. Via Sciadonna 24-26 Frascati00044 Italy Engineering Ingegneria Informatica S.p.A. Campus Ecotekne Università del Salento c/o DHITECH Via per Monterone Lecce73100 Italy EOMAP GmbH & Co. KG Schlosshof 4a Seefeld82229 Germany 6th km Harilaou Thermi Thessaloniki57001 Greece Campus UAB Barcelona08193 Spain

ISBN: (纸本)9781510668225

the Copernicus Assisted Lake Water Quality Emergency Monitoring Service platform (WQeMS) is an outcome of the H2020 WQeMS project. It leverages on experimentation and service development relatively to lakes and open surface water reservoirs located in Finland, Germany, Greece, Italy, and Spain. Four service lines have been realized concerning 'Water Quality Features Changes', 'Bloom Events Detection', 'Land-Water Transition Zone Change Detection', and 'Extreme Events Detection'. Furthermore, a crowdsourcing mobile app allows for collecting timely in-situ information, crucial during crisis' management. WQeMS flexibility and interoperability are advantageous for interfacing with Copernicus Services and the Group of Earth Observation System of systems (GEOSS) platform. these features support proposing WQeMS as an evolution element of the Copernicus Emergency Management Service (CEMS). In addition, WQeMS modularity makes it possible to test its services with new satellite data and improve the processing chains. Finally, WQeMS platform can serve both, expert users wishing to test alternative methods, and users non familiar with Earth Observation data. Access to some water utilities and water domain engaged parties will be considered towards the end of the project (June 2023) in view of service commercialization. WQeMS sustainability should be attained by providing commercial services, still leaving room for research studies. © 2023 SPIE.

关键词： Lakes

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User Reviews Sentiments Integrated E-Commerce App Recommendation System: Comparative Analysis and Cold-Start Solution

User Reviews Sentiments Integrated E-Commerce App Recommenda...

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Sustainable Technologies for Industry 4.0 (STI), international conference on

作者： Yesmin Akter Monika Chakraborty Mohammed Mahmudur Rahman Sanjida Yasmin Shanta Department of Computer Science & Engineering International Islamic University Chittagong Faculty of Science and Technology University Sains Islam Malaysia Malaysia

ISBN: (数字)9798331531973

ISBN: (纸本)9798331531980

Mobile applications come in a variety of genres, including gaming, entertainment, and e-commerce, and users frequently rely on ratings and reviews to determine the applications' dependability and quality. In order to match customer preferences, recommendation algorithms and sentiment analysis are essential. Personalized app suggestions improve discovery and satisfaction. Sentiment analysis, in particular, is essential for personalizing experiences since it evaluates the underlying sentiments of user comments and draws insights from user-generated information. Sentiment analysis and recommendation algorithms are combined in a novel way in app recommendation systems. Sentiment analysis is used in the study to classify user ratings of six e-commerce apps from the Google Play Store, ranging from “Very Negative” to “Very Positive.” In an effort to better customize the user experience, these feelings were analyzed using supervised machine learning techniques. the creation of a hybrid recommendation model, which addresses Cold-Start and New User issues, is the central focus of this research. It combines collaborative filtering (CF) and content-based filtering (CBF), and is further improved using a knowledge-based filtering approach. the goal of this strategy is to offer more precise and customized app suggestions. Metrics including RMSE, Precision, Recall, and F1-score were used to evaluate the models' performance, showing off their exceptional accuracy and predictive power in raising user engagement and satisfaction.

关键词： Sentiment analysis Technological innovation Filtering Reviews Collaborative filtering Knowledge based systems User experience Electronic commerce Fifth Industrial Revolution Recommender systems

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Traffic-control Method of Non-terrestrial Network for Actualizing Concept of IOWN Space Integrated computing Network 39

Traffic-control Method of Non-terrestrial Network for Actual...

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39th international Communications Satellite systems conference, ICSSC 2022

作者： Abe, Jun-Ichi Kano, Hisayoshi Matsui, Munehiro Hokazono, Yuki Kohara, Hinata Kishiyama, Yoshihisa Yamashita, Fumihiro NTT Corporation 1-1 Hikari-no-oka Kanagawa Yokosuka Japan NTT DOCOMO INC 3-6 Hikari-no-oka Kanagawa Yokosuka Japan

ISBN: (纸本)9781839538841

this paper introduces a traffic-control method of non-terrestrial networks (NTNs) with geostationary orbit satellites, low earth orbit satellites and high altitude platform stations (HAPSs) for extending extreme cellular coverage in the beyond 5G and 6G era. NTNs use high frequency bands, for example, Ka and Q/V bands for feeder links. However, these frequency bands are affected by rain attenuation;thus the received signal in feeder links can degrade. To improve the availability of NTNs, we propose a traffic-control method with inter satellite/HAPS links (ISLs) for setting the network cost between ISLs on the basis of traffic congestion and propagation delay. Simulation results indicate that proposed method improves throughput and reduces delay, and data transfer successful rate is improved by 10% compared with non-traffic control. © 2022 proceedings of the Design Society. All rights reserved.

关键词： Orbits

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V-SBERT: A Mixture Model for Closed-Domain Question-Answering systems Based on Natural Language Processing and Deep Learning

V-SBERT: A Mixture Model for Closed-Domain Question-Answerin...

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Data Science and Information Technology (DSIT), international conference on

作者： Yuan Zhuang Boyan Liu Xiaotao Lin Canhao Xu Guangdong Provincial Key Laboratory IRADS BNU-HKBU United International College Zhuhai China Guangdong Provincial Key Laboratory IRADS and Artificial Intelligence and Data Science Research Hub (AIRH) BNU-HKBU United International College Zhuhai China

Smart question answering (QA) systems have been the focus of research for many years. this is known to be a challenging task due to the randomness of user input. As deep learning technology is evolving fast, closed-domain QA systems based on frequently asked questions (FAQs) have already become a mature field. In the project, the team designed a mixture model based on deep learning and natural language processing (NLP) for closed-domain QA tasks. We construct a novel dataset containing admission FAQs for a Chinese university 1 . then we propose an ensemble system using the average voting method based on TF-IDF and fine-tuned versions of SBERT variation models (V-SBERT). Because both the query and questions in the knowledge base are formulated in natural language, it is important to use NLP approaches to represent the messages. then, the matches between the user query and standard questions are scored. the accuracy and performance of several different encoding models are tested on the collected dataset, including Term Frequency - Inverse Document Frequency (TF-IDF), Bidirectional Encoder Representations from Transformers (BERT), Sentence-BERT (SBERT), Robustly Optimized BERT pre-training Approach (RoBERTa), Decoding-enhanced BERT with disentangled attention (DeBERTa), and OpenAI’s text-embedding-ada-002. the evaluation shows our V-SBERT system based on TF-IDF and SBERT variations outperforms other algorithms for this task. 1 https://***/PurpleFlow22/UIC-FAQ-chatbot

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RAD 2018 - 6th international conference on Radiation and Applications in Various Fields of Research, proceedings

RAD 2018 - 6th International Conference on Radiation and App...

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6th international conference on Radiation and Applications in Various Fields of Research, RAD 2018

the proceedings contain 49 papers. the topics discussed include: assessment of the adaptation of patients with ARS, victims of CHNPP and different radiation accidents, past psychophysiological examination;biodosimetry and physical dosimetry tools in radiation exposure assessment;DNA repair processes in human lymphocytes irradiated with a 60-MEV proton radiotherapeutic beam;the use of the fundamental parameters method to calculate the concentrations of elements in environmental samples using XRF portable systems;the uncertainties of personal neutron dosimeters at various operational neutron fields;radiation and video survey of water cleanup and ventilation system of RFT reactor;and determining the zone of influence of transmission overhead power lines from the aspect of non-ionizing radiation.

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Computational Tool for the Evaluation of Waveform Candidates of beyond 5G and 6G systems 28

Computational Tool for the Evaluation of Waveform Candidates...

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28th IEEE international conference on Electronics, Electrical Engineering and computing, INTERCON 2021

作者： Hilario-Tacuri, Alexander Universidad Nacional de San Agustín de Arequipa Arequipa Peru

ISBN: (纸本)9781665412216

the vision of beyond 5G and 6G systems presents key features that are expected to be met. Around the world, researchers are introducing some technological enablers that will allow these features to be met. Among these technologies include the use of new waveforms based on the classic OFDM. the main waveforms that have been proposed so far include FBMC, UFMC, and GFDM. In this way, several studies have been carried out to analyze the performance of these waveforms in different scenarios;however, most of them perform these analyzes using only computational simulations. In order to avoid costly computational simulations, this paper presents closed-form analytical expressions that allow the development of a computational tool to evaluate the performance of the 5G waveform candidates in terms of spectral efficiency and symbol error rate. © 2021 IEEE.

关键词： Bit error rate

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