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1st International Conference on Intelligent Systems, Blockchain, and Communication Technologies, ISBCom 2024

作者： Shaban, Warda M. Moustafa, Hossam El-Din El-Seddek, Mervat M. Department of Communication and Electronics Engineering Nile Higher Institute for Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence and Informatics Horus University New Damietta Egypt Electronics and Communications Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt Department of Electronics and Communications Engineering Faculty of Engineering Horus University New Damietta Egypt

ISBN: (纸本)9783031823763

Breast cancer is a prevalent and significant form of cancer that has a profound impact on women worldwide, and it is the leading cause of mortality. Timely identification of breast cancer is a crucial procedure that can enable suitable therapy, hinder the advancement of cancerous cells, and decrease rates of illness and death. Machine Learning (ML) is highly favored techniques for precise detection and classification of breast cancer. This paper introduces a unique method for categorizing breast cancer by utilizing a novel technique for selecting relevant attributes and employing ML algorithms. This method is referred to as the Breast Cancer Detection Model (BCDM). The BCDM system comprises three distinct phases, namely data preprocessing, feature selection, and patient detection. The primary objective of the data preprocessing phase is to extract distinctive characteristics from mammogram images and eliminate any anomalous items. This is accomplished by employing an innovative feature selection technique known as Enhanced Bat Algorithm (EBA) to identify the most influential and meaningful attributes from the extracted ones. Afterwards, these attributes are entered into the patient detection phase to determine whether the patient is unaffected or has either benign or malignant breast cancer. Based on the obtained results, the proposed method surpasses rivals in performance in terms of accuracy, precision, recall, and F-score. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Lung cancer

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Atomic Lifecycle for Cyber Threat Intelligence 17

Atomic Lifecycle for Cyber Threat Intelligence

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17th International Conference on Information Security and Cryptology, ISCTurkiye 2024

作者： Arikan, Suleyman Muhammed Kocak, Aynur Alkan, Mustafa Computer Forensics Institute of Informatics Gazi University Ankara Turkey Electrical and Electronics Engineering Faculty of Technology Gazi University Ankara Turkey

ISBN: (纸本)9798331533649

The utilisation of cyber threat intelligence provides a multitude of advantages in the assurance of security. A growing body of research is being published on the subject of cyber threat intelligence. However, the precise sequence of steps involved in the cyber threat intelligence life cycle remains unclear. The life cycle presented in each study is not consistent. Moreover, the transition from data to intelligence throughout the life cycle is not sufficiently delineated. The intelligence produced in many studies can be of different types. In our study, all existing lifecycles were examined and their naming approaches were analysed. The objective was to present a cyber threat intelligence life cycle that is as atomic as possible, with each step clearly expressed. This should facilitate a more rigorous comparison of studies in the existing literature on cyber threat intelligence. Furthermore, the life cycle can be utilised in new cyber threat intelligence studies. Researchers who aspire to implement best practices in their study are able to run more effective processes by following the life cycle. © 2024 IEEE.

关键词： Phishing

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Face From Voice: PyTorch Adaptation of Speech2Face Framework 28th

Face From Voice: PyTorch Adaptation of Speech2Face Framework

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28th International Conference on Knowledge Based and Intelligent information and Engineering Systems, KES 2024

作者： Pietkun, Kacper Gondek, Bogna Browarczyk, Marta Faculty of Electronics Telecommunications and Informatics Multimedia Systems Department Gdansk University of Technology Narutowicza 11/12 Gdansk80-233 Poland

This paper focuses on the problem of face images reconstruction from short audio segments. Built in PyTorch, the speech-to-face pipeline retains the core methodology of the others presented in the previous works, but with the introduction of a few key modifications. Leveraging a comprehensive dataset of internet audio recordings, a deep neural network undergoes training to discern correlations between voice and facial features. Through self-supervised learning, various physical attributes such as age, gender and ethnicity are captured without the need for explicit feature analysis. The evaluation process quantifies the fidelity of reconstructions, measuring the resemblance to the actual facial images solely from audio data through numerical metrics. © 2024 The Authors.

关键词： Convolutional neural networks

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Development of Support Speech Therapy Game 22

Development of Support Speech Therapy Game

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22nd International Conference on Emerging eLearning Technologies and Applications, ICETA 2024

作者： Haluška, Renát Pleva, Matúš Reňák, Adam Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Electronics and Multimedia Communications Letna 9 Košice Slovakia

ISBN: (纸本)9798331527716

This article deals with the development of a web application in the Electron environment to support speech therapy games and exercises that focus primarily on speech recognition. The work provides a brief overview of the issue of speech therapy games and the importance of interactive applications in therapy and identifies the needs of children with speech therapy challenges and their parents through a target group analysis. The main goal of the work is to design a web application and interactive elements for speech therapy games in the Electron environment that will correspond to the identified needs of the target group. © 2024 IEEE.

关键词： Game design

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Target Capturing in an Ellipsoidal Region for a Swarm of Double Integrator Agents

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IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 801-811页

作者： Antonio Bono Luigi D'Alfonso Giuseppe Fedele Veysel Gazi IEEE Department of Informatics ModelingElectronics and Systems EngineeringUniversity of CalabriaRende 87036Italy Dept.Electrical and Electronics Eng. Faculty of EngineeringMarmara UniversityIstanbul 34722 Department of Control and Automation Engineering Faculty of Electrical and Electronics EngineeringYildiz Technical UniversityEsenler 34220Turkey

In this paper we focus on the target capturing problem for a swarm of agents modelled as double integrators in any finite space *** agent knows the relative position of the target and has only an estimation of its velocity and *** that the estimation errors are bounded by some known values,it is possible to design a control law that ensures that agents enter a user-defined ellipsoidal ring around the moving *** know the relative position of the other members whose distance is smaller than a common detection ***,in the case of no uncertainty about target data and homogeneous agents,we show how the swarm can reach a static configuration around the moving *** simulations are reported to show the effectiveness of the proposed strategy.

关键词： Agents-based systems cooperative control swarms target-capturing

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Generalized measurements on qubits in quantum randomness certification and expansion

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Physical Review Applied 2024年第4期22卷 044041页

作者： Piotr Mironowicz Marcus Grünfeld Mohamed Bourennane Department of Physics Department of Algorithms and System Modeling Faculty of Electronics Telecommunications and Informatics

Quantum mechanics has greatly impacted our understanding of microscopic nature. One of the key concepts of this theory is generalized measurements, which have proven useful in various quantum information processing tasks. However, despite their significance, they have not yet been shown empirically to provide an advantage in quantum randomness certification and expansion protocols. This investigation explores scenarios where generalized measurements can yield more than 1 bit of certified randomness with a single-qubit system measurement on untrusted devices and against a quantum adversary. We compare the robustness of several protocols to exhibit the advantage of exploiting generalized measurements. In our analysis of experimental data, we were able to obtain 1.21 bits of min-entropy from a measurement taken on one qubit of an entangled state. We also obtained 1.07 bits of min-entropy from an experiment with quantum state preparation and generalized measurement on a single qubit. We also provide finite data analysis for a protocol using generalized measurements and the Entropy Accumulation Theorem. Our exploration demonstrates the potential of generalized measurements to improve the certification of quantum sources of randomness and enhance the security of quantum cryptographic protocols and other areas of quantum information.

关键词： Entropy Quantum correlations in quantum information Quantum cryptography Quantum information processing Quantum measurements Quantum metrology Quantum protocols Quantum verification

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Automated Testing of over 1,000 Student Assignments: Benefits of Kubernetes 22

Automated Testing of over 1,000 Student Assignments: Benefit...

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2024 IEEE 22nd World Symposium on Applied Machine Intelligence and informatics, SAMI 2024

作者： Kormanik, Tomas Poruban, Jaroslav Cavojsky, Matus Technical University of Košice Department of Computers and Informatics Košice Slovakia Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Electronics and Multimedia Telecommunications Košice Slovakia

ISBN: (纸本)9798350317206

Both functional and source code originality checking systems are becoming obsolete over time, and the increased demands on their performance and features are creating a demand for a new way to run modular tests on a large scale. Our department has had to rapidly adapt to more modern and scalable technologies that cover the aforementioned tests. The aim of this article is to present the modernization process as well as the problems we encountered. At the same time, we will point out the advantages and disadvantages of the different approaches we have observed. We also tested unconventional methods that are not commonly recommended to see how they behave in our implementation. © 2024 IEEE.

关键词： Automation Docker Kubernetes Microservices Testing Validation

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EEG emotion recognition framework based on invariant wavelet scattering convolution network

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Journal of Ambient Intelligence and Humanized Computing 2024年第4期15卷 2181-2199页

作者： Elrefaiy, Ahmed Tawfik, Nahed Zayed, Nourhan Elhenawy, Ibrahim Department of Computer Science Faculty of Computers and Informatics Zagazig University Zagazig44519 Egypt Computers and Systems Department Electronics Research Institute Cairo Egypt Mechanical Engineering Department The British University in Egypt Cairo Egypt

EEG signals for real-time emotion identification are crucial for affective computing and human-computer interaction. The current emotion recognition models, which rely on a small number of emotion classes and stimuli like music and images in controlled lab conditions, have poor ecological validity. Furthermore, identifying relevant EEG signal features is crucial for efficient emotion identification. According to the complexity, non-stationarity, and variation nature of EEG signals, which make it challenging to identify relevant features to categorize and identify emotions, a novel approach for feature extraction and classification concerning EEG signals is suggested based on invariant wavelet scattering transform (WST) and support vector machine algorithm (SVM). The WST is a new time-frequency domain equivalent to a deep convolutional network. It produces scattering feature matrix representations that are stable against time-warping deformations, noise-resistant, and time-shift invariant existing in EEG signals. So, small, difficult-to-measure variations in the amplitude and duration of EEG signals can be captured. As a result, it addresses the limitations of the previous feature extraction approaches, which are unstable and sensitive to time-shift variations. In this paper, the zero, first, and second order features from DEAP datasets are obtained by performing the WST with two deep layers. Then, the PCA method is used for dimensionality reduction. Finally, the extracted features are fed as inputs for different classifiers. In the classification step, the SVM classifier is utilized with different classification algorithms such as k-nearest neighbours (KNN), random forest (RF), and AdaBoost classifier. This research employs a principal component analysis (PCA) approach to reduce the high dimensionality of scattering characteristics and increase the computational efficiency of our classifiers. The proposed method is performed across four different emotional classific

关键词： Support vector machines

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Reception of Terrestrial DAB+ and FM Radio with a Mobile Device: A Subjective Quality Evaluation 1

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19th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2022

作者： Falkowski-Gilski, Przemyslaw Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Narutowicza 11/12 Gdansk80-233 Poland

ISBN: (数字)9783031347764

ISBN: (纸本)9783031347757

Nowadays, terrestrial broadcasting enables to receive content anytime and everywhere. People can obtain information both with a portable or desktop receiver, which include pocket-sized devices as well as high-end Hi-Fi equipment, not to mention car audio systems. Numerous manufacturers include FM-compatible chipsets in a variety of user equipment (UE), including mobile phones. However, digital radio signal processing modules, such as, i.e., Digital Audio Broadcasting plus (DAB+), are not that popular. Currently, only one smartphone available on the market offers such possibilities This paper examines the reception quality of terrestrial digital DAB+ and analog FM radio with the use of a mobile device. The study was carried out on a number of broadcasts simulcasted in both standards, and involved a group of 30 listeners aged between 20–25 years old. Next, results were compared with subjective scores obtained using a high-end desktop radio receiver. The aim of this work is to determine whether small size mobile UE can offer high-quality reception, and whether a smartphone can compete with a traditional indoor receiver. Results of carried out studies may aid and inspire devices manufacturers as well as content and service providers, speeding up the whole digitization process. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Digital radio

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Detection and Analysis of Motricity and Somato-Functional Indices of 3X3 Basketball Players to Customize Sports Training 15

Detection and Analysis of Motricity and Somato-Functional In...

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15th International Conference on electronics, Computers and Artificial Intelligence, ECAI 2023

作者： Oproescu, Mihai Mihaila, Ion Bizon, Nicu Tudosoiu, Dumitru Gabriel Iana, Vasile Julien Fleancu, Leonard Cojanu, Florin Potop, Vladimir Mihai, Ilie Corina Popescu, Daniela University of Pitesti Faculty of Electronics Communication and Computer Science Pitesti Romania University of Pitesti Faculty of Sciences Physical Education and Informatics Pitesti Romania

ISBN: (纸本)9798350321388

In the game of basketball in general and in the game of 3x3 basketball, the emphasis is on general physical training and not on specific training, thus allowing the players to have a multilateral training. In order to facilitate the players' positional specialization, the paper aims to improve the body's main functions, allowing adaptation to effort and, at the same time, optimizing athletes' performances. The research that represents the premises of this paper is based on motricity, somato-functional and medical evidence and aims to identify, using predictive and corrective techniques with artificial intelligence (AI), the factors that contribute to the development of an adaptive sports training model for basketball players 3X3. Thus, the goal is to optimize the performance of 3X3 basketball players. By adapting the acquisition of somato-functional and motricity indices respectively, the training model can be applied in other individual or team sports. © 2023 IEEE.

关键词： Software design

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