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Information and Communication Technologies in Education, Research, and Industrial Applications 1

丛书名： Communications in Computer and Information Science

1000年

作者： Vadim Ermolayev Mari Carmen Suárez-Figueroa Vitaliy Yakovyna Heinrich C. Mayr Mykola Nikitchenko Aleksander Spivakovsky

ISBN: (数字)9783030139292

ISBN: (纸本)9783030139285

This book contains extended versions of the best papers presented at the 14th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, ICTERI 2018, held in Kyiv, Ukraine, in May 2018.;The 14 revised full papers included in this volume along with one invited full paper were carefully reviewed and selected from 257 initial submissions. The papers are organized in the following topical sections: advances in ICT research, ICT in education and education management, ICT solutions for industrial applications.

关键词： Computers and Education Machine Learning Computer Appl. in Social and Behavioral Sciences Information Systems and Communication Service

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A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset 26

A Horizontal Federated Learning Approach to IoT Malware Traf...

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26th International Conference on Advanced Communications technology, ICACT 2024

作者： Do, Phuc Hao Le, Tran Duc Vishnevsky, Vladimir Berezkin, Aleksandr Kirichek, Ruslan The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Saint-Petersburg Russia Danang Architecture University Da Nang Viet Nam University of Telecommunications Department of Communication Networks and Data Transmission at Bonch-Bruevich Saint-Petersburg State Russia University of Science and Technology The University of Danang Da Nang Viet Nam The University of Danang University of Science and Technology Information Technology Faculty Danang Viet Nam V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Institute of Control Sciences of Russian Academy of Sciences Russia Bonch Bruevich Saint Petersburg State University of Telecommunications Department of Programming Engineering and Computer Science Russia

ISBN: (纸本)9791188428120

The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simultaneously ensuring user data privacy and detecting botnet attacks. To address this issue, this study evaluates the efficacy of Federated Learning (FL) in detecting IoT malware traffic while preserving user privacy. The study employs N-BaIoT, a dataset of real-world IoT network traffic infected by malware, and compares the effectiveness of FL models using Convolutional Neural Network, Long Short-Term Memory, and Gated Recurrent Unit models with a centralized approach. The results indicate that FL can achieve high performance in detecting abnormal traffic in IoT networks, with the CNN model yielding the best results among the three models evaluated. The study recommends the use of FL for IoT malware traffic detection due to its ability to preserve data privacy. © 2024 Global IT Research Institute - GIRI.

关键词： Malware

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How file access patterns influence interference among cluster applications

How file access patterns influence interference among cluste...

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IEEE International Conference on Cluster Computing

作者： Chih-Song Kuo Aamer Shah Akihiro Nomura Satoshi Matsuoka Felix Wolf Department of Computer Science RWTH Aachen University Aachen Germany German Research School for Simulation Sciences Laboratory for Parallel Programming Aachen Germany Tokyo Institute of Technology Global Scientific Information and Computing Center Tokyo Japan

On large-scale clusters, tens to hundreds of applications can simultaneously access a parallel file system, leading to contention and in its wake to degraded application performance. However, the degree of interference depends on the specific file access pattern. On the basis of synchronized time-slice profiles, we compare the interference potential of different file access patterns. We consider both micro-benchmarks, to study the effects of certain patterns in isolation, and realistic applications to gauge the severity of such interference under production conditions. In particular, we found that writing large files simultaneously with small files can slow down the latter at small chunk sizes but the former at larger chunk sizes. We further show that such effects can seriously affect the runtime of real applications-up to a factor of five in one instance. In the future, both our insights and profiling techniques can be used to automatically classify the interference potential between applications and to adjust scheduling decisions accordingly.

关键词： Interference Servers Throughput Benchmark testing Market research Degradation Aggregates

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From fault tolerance to security and back

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IEEE Distributed Systems Online 2003年第9期4卷

作者： Gartner, Felix C. Buttyan, Levente Kursawe, Klaus Swiss Fed. Institute of Technology Switzerland Budapest Univ. of Technol./Economics Hungary IBM Research Distributed Programming Laboratory Swiss Fed. Institute of Technology Lausanne Switzerland Lab. of Cryptography/System Security Budapest Univ. of Technol./Economics Hungary Department of Computer Switzerland

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Advanced IOT Traffic Light Control System

Advanced IOT Traffic Light Control System

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International Conference on Advances in Computational Tools for Engineering Applications, ACTEA

作者： Martin Abou Hamad Antonio El Hajj Roy Abi Zeid Daou Ali Hayek Gaby Abou Haidar Biomedical Technologies Department Faculty of Public Health Lebanese German University Lebanon MART Learning Education and Research Center Lebanon Department of Computer Architecture and System Programming University of Kassel Kassel Germany Engineering Faculty American University of Science and Technology Zahle Lebanon

For several years, traffic congestion has been a major problem in big cities where the number of cars and different means of transportation has been increasing significantly. The problem of congestion is becoming more and more critical, and if not treated smartly this issue will negatively affect drivers by wasting time and fuel gas while waiting for hours in lanes. This paper presents a new and smart way to mitigate this issue in an affordable cost, minimum processing power, and low power consumption. This concept takes into consideration the majority of the cases that may cause congestion and presents a smart and accurate outputs to ease traffic flow leading to the prediction of the peak hours of traffic congestion for smarter control. A model is designed to study the case of a four lanes crossroad with two traffic lights and two LCD monitors. The strategy in reading data is divided into two parts: real data from sensors and pre collected data from google maps to create a kind of a predicted pattern over a certain time interval. The responsiveness of the system is analyzed thoroughly, and the accuracy of all possible cases is carefully considered and evaluated. Each part of the system was tested alone, and the overall system is still in an ongoing testing phase. The results have shown minimum faulty errors and accepted outputs that can lead to safe traffic control decisions. Finally, integrating more IoT devices and sensors between V2V, V2P, V2I with the help of artificial intelligence will definitely optimize this system with higher accuracy.

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Food resources in food system technology: Bifunctional food system technology based on pickering emulsions

Food resources in food system technology: Bifunctional food ...

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6th Smart Cities Symposium (SCS 2022)

作者： I. Potoroko A. Kadi A. Paymulina U. Bagale M. Abotaleb E. M. El-Kenawy Department of Food and Biotechnology South Ural State University Chelyabinsk Russia Siberian Federal Scientific Center of Agro-Bio Technologie Novosibirsk Russia Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt

The development of domestically generated food additives based on eco-technologies with specified functionaltechnological and bioactive qualities is now a significant focus of contemporary study. Pickering emulsions are more stable both physically and chemically, making them a highly promising method of introducing biologically active chemicals into the body. The purpose of this research was to determine if ultrasound could be used to create a bioactive colloidal Pickering emulsion system using flax cellulose or brown algal polysaccharides as a stabilizer. Pickering emulsions stabilized with fucoidan, sodium alginate, or flax cellulose, based on a lipid fraction of sunflower oil and cinnamon oil blend, or a lipid fraction of linseed oil, were applied to the subjects, who were then subjected to ultrasound treatment at 630W/l for 16 min (4 min on, 3 min off) at a controlled temperature of 50°C. The results obtained demonstrate the effectiveness of using ultrasonic exposure to create bioactive Pickering emulsion colloidal systems. Fucoidan stabilizes pickering emulsion, with the highest AOA values (5.120±0.005 DPPH, %) and a rise in AOA values in linseed oil-based emulsion samples from 30% to 100% in comparison to emulsion samples based on a blend of lipid phases. The viscoelastic characteristics of Pickering emulsions with various oil fractions vary dramatically for the integrated structure-forming components.

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B2A, A Straight-Through Approach from Basics to Advanced Level: Case Study for Python Course 11

B2A, A Straight-Through Approach from Basics to Advanced Lev...

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11th Workshop on Software Quality Analysis, Monitoring, Improvement, and Applications, SQAMIA 2024

作者： Shazmeen, Abbasi Dakić, Pavle Zoltan, Alwahab Dhulfiqar Department of Programming Languages and Compilers Faculty of Informatics Eötvös Loránd University 1/C Pázmány Péter st. BudapestH-1117 Hungary Faculty of Informatics and Computing Singidunum University Danijelova 32 Belgrade Serbia Institute of Informatics Information Systems and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava Ilkovičova 2 Bratislava842 16 Slovakia

In this study, we present a straightforward teaching strategy for teaching the Python programming language. Our method emphasizes a clear progression from fundamental to sophisticated concepts. Beginning with a thorough explanation of core Python ideas, we show a beginner-level script that dissects each line of code and displays the results. One distinguishing feature of our system is that students use ChatGPT to optimize code, which encourages them to improve the core program with fewer lines. After getting the updated solutions, students carefully compare the original and optimized programs to discover improvements and potential flaws. This study underlines the effectiveness of the Straight-Through Approach, which focuses on improving Python understanding while also developing critical thinking and code optimization skills. Our findings show that this strategy is a simple and effective way for teachers to assist students in growing from basic to advanced Python abilities, resulting in a dynamic and successful learning environment. The proposed technique will teach students how to use AI-driven modules correctly, such as ChatGPT. © 2024 Copyright for this paper by its authors.

关键词： Python

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Extraction of human mandible bones from multi-slice computed tomographic data

Extraction of human mandible bones from multi-slice computed...

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Middle East Conference on Biomedical Engineering (MECBME)

作者： Tamer M. Nassef Nahed H. Solouma Mohamed Alkhodary Mona K. Marei Yasser M. Kadah Computer and Programming Engineering Department Misr University for Science and Technology Six of October City Egypt Tissue Engineering Laboratory Alexandria University Alexandria Egypt National Institute of Laser Science Cairo University Giza Egypt Biomedical Engineering Department Cairo University Giza Egypt

A new approach for segmenting different anatomical regions in dental Computed Tomography (CT) studies is presented in this paper. It is expected that the proposed approach will help automate different tissues regions by providing initial boundary points for deformable models or seed points for split and merge segmentation algorithms. Preliminary results obtained for dental CT studies of dentate and edentulous human-mandible are presented with finite element models divided by tetrahedral elements, which built based on actual CT data combined with triangulation equations. Identification of different anatomical regions set for mandible cortical and cancellous bones by generated 3D models by marching cubes technique.

关键词： Finite element methods Computed tomography Implants Image segmentation Three dimensional displays Dentistry Solid modeling

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Computer assisted determination of mandibular cystic lesion volume from computed tomographic data

Computer assisted determination of mandibular cystic lesion ...

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Middle East Conference on Biomedical Engineering (MECBME)

作者： Tamer M. Nassef Reham M. Fliefel Mona K. Marei Nahed H. Solouma Yasser M. Kadah Computer and Programming Engineering Department Misr University for Science and Technology Six of October City Egypt Tissue Engineering Lab Alexandria University Alexandria Egypt National Institute of Laser Science Cairo University Giza Egypt Biomedical Engineering Department Cairo University Giza Egypt

In this paper, a new approach for computing different anatomical regions in dental Computed Tomography (CT) is presented. The approach consists of two steps. First, a HU threshold window sets to separate between different regions upon their gray-level values; second, a set of objects are generated and texture descriptors are calculated for selected windows from the image data sample. Finally, identification of different anatomical regions set for mandible bones to determine the cystic lesion volume based on numerical methods. Preliminary results obtained for dental CT of female patient aged 14 years old complaining of bilateral swelling in her mandible are presented.

关键词： Bones Lesions Computed tomography Three dimensional displays Pixel Surgery Solid modeling

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Foundations of Intelligent Systems 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Troels Andreasen Henning Christiansen Juan-Carlos Cubero Zbigniew W. Raś

ISBN: (数字)9783319083261

ISBN: (纸本)9783319083254

This book constitutes the refereed proceedings of the 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014, held in Roskilde, Denmark, in June 2014. The 61 revised full papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on complex networks and data stream mining; data mining methods; intelligent systems applications; knowledge representation in databases and systems; textual data analysis and mining; special session: challenges in text mining and semantic information retrieval; special session: warehousing and OLAPing complex, spatial and spatio-temporal data; ISMIS posters.

关键词： Artificial Intelligence Data Mining and Knowledge Discovery Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) User Interfaces and Human Computer Interaction

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