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31st European Signal Processing Conference, EUSIPCO 2023

作者： Gkillas, Alexandros Ampeliotis, Dimitris Berberidis, Kostas Dept. of Computer Engineering and Informatics University of Patras Greece Dept. of Digital Media and Communication Ionian University Greece

ISBN: (纸本)9789464593600

In this study the problem of Federated Learning (FL) is explored under a new perspective by utilizing the Deep Equilibrium (DEQ) models instead of conventional deep learning networks. We claim that incorporating DEQ models into the federated learning framework naturally addresses several open problems in FL, such as the communication overhead due to the sharing large models and the ability to incorporate heterogeneous edge devices with significantly different computation capabilities. Additionally, a weighted average fusion rule is proposed at the server-side of the FL framework to account for the different qualities of models from heterogeneous edge devices. To the best of our knowledge, this study is the first to establish a connection between DEQ models and federated learning, contributing to the development of an efficient and effective FL framework. Finally, promising initial experimental results are presented, demonstrating the potential of this approach in addressing challenges of FL. © 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.

关键词： Deep learning

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Successful Simple Side Channel Analysis: Vulnerability of an atomic pattern kP algorithm implemented with a constant time crypto library to simple electromagnetic analysis attacks 12

Successful Simple Side Channel Analysis: Vulnerability of an...

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12th Mediterranean Conference on Embedded Computing, MECO 2023

作者： Sigourou, Alkistis Aikaterini Kabin, Ievgen Langendorfer, Peter Sklavos, Nicolas Dyka, Zoya Germany University of Patras SCYTALE Group Computer Engineering and Informatics Dept. Greece BTU Cottbus-Senftenberg Cottbus Germany

ISBN: (纸本)9798350322910

Elliptic curve cryptosystem is a widely-used public key cryptosystem that is vulnerable to physical attacks, especially to Side Channel Analysis (SCA) attacks. This paper investigates a version of the atomic patterns kP algorithm for elliptic curves over prime finite fields. The atomic patterns for Elliptic Curve (EC) point doublings and additions are well-known countermeasures against simple SCA attacks. We implemented a binary left-to-right kP algorithm corresponding to the atomic patterns as proposed by Rondepierre and using the FLECC open-source cryptographic library. The library provides constant-time functions for the implementation of different mathematic operations in prime finite fields, making it suitable for SCA-aware implementations of cryptographic protocols, at a theoretical level. We were able to reveal the scalar k processed during a kP execution analyzing the measured electromagnetic trace of the kP execution. We determined at least two parts in the measured trace where the distinction between EC point doublings and EC point additions is good observable. © 2023 IEEE.

关键词： Side channel attack

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Performance and Radiation Testing of the Coral TPU Co-processor for AI Onboard Satellites

Performance and Radiation Testing of the Coral TPU Co-proces...

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2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023

作者： Lentaris, George Leon, Vasileios Sakos, Chronis Soudris, Dimitrios Tavoularis, Antonios Costantino, Alessandra Polo, Cesar Boatella University of West Attica Department of Informatics Computer Engineering Greece National Technical University of Athens School of Electrical Computer Engineering Greece European Space Research Technology Centre European Space Agency Netherlands

ISBN: (纸本)9789090379241

COTS HW and SW components become crucial for advancing AI in space applications. The CAIRS21 ESA project considers Coral TPU as a candidate AI co-processor in avionics and examines its suitability in terms of performance, programmability/productivity, and radiation tolerance. The current paper focuses on our custom methodology for evaluating TPU, including TID and SEE effects. We assume representative AI benchmarks and irradiation profiles for LEO missions. We define a series of actions and measurements to derive thorough conclusions while avoiding increased time/budget procedures. Additionally, the paper summarizes key findings and a preliminary analysis of results from actual tests. Overall, TPU shows significant benefits when executing embedded AI, as well as promising Krad(Si) and SEE cross-section values. © 2023 ESA.

关键词： Space applications

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Evaluating Gaze Detection for Children with Autism Using the ChildPlay-R Dataset

Evaluating Gaze Detection for Children with Autism Using the...

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International Conference on Automatic Face and Gesture Recognition

作者： Nursena Boluk Hatice Kose Department of Computer Engineering Faculty of Computer and Informatics Engineering Istanbul Technical University Istanbul Turkey Department of Artificial Intelligence and Data Engineering Faculty of Computer and Informatics Engineering Istanbul Technical University Istanbul Turkey

ISBN: (数字)9798350394948

ISBN: (纸本)9798350394955

This study focuses on detecting two-dimensional (2D) gaze points in interactions between children both with and without autism and adults. Within the scope of this objective, a novel subset called ChildPlay-R has been created based on the open-source ChildPlay dataset. This new dataset includes explicitly the interactions of children with and without autism with adults in similar uncontrolled environments and relevant 2D gaze points. Moreover, the analyses using the Modified Spatiotemporal Gaze Detection (M-STGD) model, compared to the traditional Spatiotemporal Gaze Architecture (STGA), reveal significant improvements in the Area Under the Curve values and out-of-sample precision. These advancements indicate the M-STGD model's potential to provide a deeper understanding of the social engagement patterns of children with autism. This study contributes to the automatic detection of 2D gaze points in social interactions and supports the social development of children with autism.

关键词： Autism Analytical models Adaptation models Accuracy Two-dimensional displays Face recognition Gesture recognition

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Fact-in-a-Box: Hiding Educational Facts in Short Stories for Implicit Learning 15

Fact-in-a-Box: Hiding Educational Facts in Short Stories for...

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15th International Conference on computer Supported Education, CSEDU 2023

作者： El Bolock, Alia Sabty, Caroline Awad, Nour Eldin Abdennadher, Slim Informatics and Computer Science German International University Cairo Egypt Media Engineering and Technology German University in Cairo Cairo Egypt

ISBN: (纸本)9789897586415

Generating stories on-demand is one of the covered tasks in Natural Language Generation. Stories are being used in every culture by any age. They have been used for different purposes, such as entertainment and the education of children. They are an effective way of indirectly providing students with valuable facts that are easier embedded in their memory. We propose an approach for embedding facts into existing or automatically generated stories, given a specific target audience and a story context. As proof of concept, we implemented a framework called Fact-in-a-Box to hide facts in existing stories or a human-like generated text through a customized user. The framework is based on a fine-tuned model for children as the target audience and fixes the story context to animals. Instructors can apply the approach to deliver facts to the learner in an exciting yet informative way. The framework is composed of two modules, one for selecting the most relevant story and the other one to embed the fact in it. We tested the proposed approach using an experiment to test the learning gain of children and a survey for adults to evaluate the language of the resulting stories and the concept itself. The performance was relatively good in hiding facts inside an existing story where children could correctly re-convey 50% of the complex facts and 80% of the simpler tasks. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Natural language processing systems

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SP-DSTS-MIMO Scheme-Aided H.266 for Reliable High Data Rate Mobile Video Communication

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computers, Materials & Continua 2023年第1期74卷 995-1010页

作者： Khadem Ullah Nasru Minallah Durre Nayab Ishtiaque Ahmed Jaroslav Frnda Jan Nedoma Department of Computer Systems Engineering University of Engineering and Technology PeshawarPeshawar25000Pakistan National Centre in Big Data and Cloud Computing University of Engineering and Technology Peshawar(NCBC-UETP)Peshawar25000Pakistan Department of Quantitative Methods and Economic Informatics Faculty of Operation and Economics of Transport and CommunicationsUniversity of Zilina01026ZilinaSlovakia Department of Telecommunications Faculty of Electrical Engineering and Computer ScienceVSB-Technical University of OstravaOstrava-PorubaCzech Republic

With the ever growth of Internet users,video applications,and massive data traffic across the network,there is a higher need for reliable bandwidth-efficient multimedia *** Video Coding(VVC/H.266)is finalized in September 2020 providing significantly greater compression efficiency compared to Highest Efficient Video Coding(HEVC)while providing versatile effective use for Ultra-High Definition(HD)*** article analyzes the quality performance of convolutional codes,turbo codes and self-concatenated convolutional(SCC)codes based on performance metrics for reliable future video *** advent of turbo codes was a significant achievement ever in the era of wireless communication approaching nearly the Shannon *** codes are operated by the deployment of an interleaver between two Recursive Systematic Convolutional(RSC)encoders in a parallel *** RSC encoders may be operating on the same or different architectures and code *** proposed work utilizes the latest source compression standards H.266 and H.265 encoded standards and Sphere Packing modulation aided differential Space Time Spreading(SP-DSTS)for video transmission in order to provide bandwidth-efficient wireless video ***,simulation results show that turbo codes defeat convolutional codes with an averaged E_(b)/N_(0) gain of 1.5 dB while convolutional codes outperformcompared to SCC codes with an E_(b)/N_(0) gain of 3.5 dBatBit ErrorRate(BER)of 10−*** Peak Signal to Noise Ratio(PSNR)results of convolutional codes with the latest source coding standard of H.266 is plotted against convolutional codes with H.265 and it was concluded H.266 outperform with about 6 dB PSNR gain at E_(b)/N_(0) value of 4.5 dB.

关键词： H.265 RSC turbo codes SCC SP-DSTS BP-CNN BER PSNR

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Design of a Simple Tools for Record and Payment of Passengers in City Bus 7

Design of a Simple Tools for Record and Payment of Passenger...

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7th International Conference on Electric Vehicular Technology, ICEVT 2022

作者： Oktivasari, Prihatin Zain, Ayu Rosyida Agustin, Maria Sulaiman, Nur Fauzi Anshor, Muhammad Fabian Fahroji, Muhammad Fatih Karim, Muhammad Arysil Putra, Andika Dwi Politeknik Negeri Jakarta Dept. of Informatics and Computer Engineering Depok Indonesia

ISBN: (数字)9781665409421

ISBN: (纸本)9781665409421

The development and progress of the means of transportation are needed for people to mobilize all activities However, currently conventional public transportation such as urban transportation has become less attractive to the public because of all the factors that cause people not to choose conventional transportation over online-based public transportation. The mechanism of the cost for urban transport is still not by with the passenger route using the city transportation service, for which a passenger record system is established to be able to determine the route of passenger location and the data of each passenger who wishes to ride to use the transportation services of the city, as well as the cost system travel passenger city transportation can be set and set according to the distance of travel from passengers. The system of passenger record method and system control of notification with device and application for public transportation payment consists of components such as Arduino to control and manage RFID RC522 system data to read RFID tag, Real Time Clock (RTC) DS1307 to activate the clock and dates in real-Time, Passive Infrared (PIR) module sensors to detect human presence and desktop applications for charging balances and website applications for databases. © 2022 IEEE.

关键词： Clocks

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Social Media Insights into Climate Change: Sentiment Analysis Using VADER and RoBERTa

Social Media Insights into Climate Change: Sentiment Analysi...

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Gerasimos Vonitsanos Andreas Kanavos Georgios Bardis Phivos Mylonas Computer Engineering and Informatics Department University of Patras Patras Greece Department of Informatics Ionian University Corfu Greece Department of Informatics and Computer Engineering University of West Attica Athens Greece

ISBN: (数字)9798331504502

ISBN: (纸本)9798331504519

Sentiment analysis, a critical branch of Natural Language Processing (NLP), is pivotal for uncovering the emotional undertones within textual data, thereby revealing public sentiments on diverse topics. This study conducts a comparative analysis of two prominent sentiment analysis tools—VADER, a lexicon and rule-based approach, and RoBERTa, a transformer-based deep learning model. It focuses on their efficacy in analyzing tweets related to climate change, a topic of global significance that elicits a wide range of public opinions. The nuanced and dynamic nature of social media language poses unique challenges, particularly in contexts such as climate change discussions. We assess how effectively each model discerns positive, neutral, and negative sentiments across different categories of climate change-related tweets, delineated into Pro, Neutral, News, and Anti stances. Our findings indicate that RoBERTa outperforms VADER in capturing contextual nuances and providing detailed sentiment classifications. This detailed capability allows RoBERTa to better reflect the complex public opinions on climate change, offering invaluable insights to policymakers, researchers, and environmental advocates. This study not only aids in better understanding and engaging with public discourse on social media but also highlights the potential of advanced NLP tools in shaping environmental communication and policy formulation.

关键词： Climate change Sentiment analysis Natural language processing Social networking (online) Machine learning Text mining Computational linguistics Public policy Environmental monitoring

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An Improved Structure for Academic Information Services through AI Chatbots

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Journal of engineering Science and Technology Review 2023年第5期16卷 164-173页

作者： Ula, Mutammimul Hardi, Richki Hipiny, Irwandi Department of Information Systems Faculty of Engineering Universitas Malikussaleh Aceh Indonesia Department of informatics Universitas Mulia Balikpapan Indonesia Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Sarawak Malaysia

Academic information service is the most critical factor that must be considered in a university. Service quality is an important indicator affecting all academics’ satisfaction and loyalty. Improvement of information services on campus has been a lot of research focusing on academics. Meanwhile, the software aspect has received less attention. Researchers have previously discussed information service frameworks but have not accommodated future needs. Software that must be considered can quickly respond to the user, one of which is a chatbot. Chatbots can be used to solve problems related to question-and-answer services, especially for academic institutions that do not have specific resources to handle this work. With chatbots, redundant user questions can be handled automatically. Chatbots are increasingly being offered as an alternative source of customer service. For a user to use a chatbot for this purpose, the user must trust the chatbot to provide the necessary support. To overcome this knowledge gap, a framework can integrate software, stakeholders, and academics in higher education. Therefore it is necessary to conduct new research to help answer future needs. © 2023 School of Science, IHU. All rights reserved.

关键词： Information services

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Drone-to-drone Collision Detection Algorithm in Flight Traffic Management 25

Drone-to-drone Collision Detection Algorithm in Flight Traff...

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25th International Electronics Symposium, IES 2023

作者： Ilyas, Muhajirin Ida Winarno, Idris Pramadihanto, Dadet Politeknik Elektronika Negeri Surabaya Dept. of Information and Computer Surabaya Indonesia Politeknik Elektronika Negeri Surabaya Dept. of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9798350314731

This paper presents an algorithm for detecting collisions in flight traffic management for drones. The algorithm is simple to implement and can be used to effectively manage the flow of drones in a safe and efficient manner. The algorithm has been tested in simulation and has been shown to be effective in detecting collisions between drones. The algorithm is also simple to implement and can be used with existing drone traffic management systems. As the number of drones in the sky continues to grow, this algorithm will become increasingly important for ensuring the safety of drone operations. © 2023 IEEE.

关键词： Drones

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