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Iraqi Journal for computer science and mathematics 2025年第2期6卷 99-106页

作者： Al-Rassam, Raya Salim Mohammed, Khalida Ahmed Rashed, Safwan Nathem Department of Statistics & Informatics College of Computer Science & Mathematics University of Mosul Iraq

When ensuring the reliability of device or the suitability of a material, it is necessary to take into consideration the stress cases in the operating environment. This means that the uncertainty about the reality environmental stress must be taken into as random. The stress-strength (S-S) model treated the stress and strength variables as random. In the simplest form of stress-strength model, y represents the stress put on the unit by the operating environment, and the strength of the unit represented by x. A unit is able to perform its required function if its stress imposed on it is less than the strength of the unit. In this paper, the stress-strength reliability estimation for the modified exponentiated Lomax distribution, which is generalization of the Lomax distribution, with an unknown shape parameter and a known scale parameters is studied using different methods. These methods include the maximum likelihood method, Bayesian estimation method under a quadratic loss function, and the least squares method for complete data. The estimators are compared based on Markov Chain Monte Carlo (MCMC) simulations using R-Studio, evaluated by the mean square error (MSE) criteria. The simulation results show that the maximum likelihood estimators are the best in two cases: the first is when the sample sizes are equal and the second is when the shape parameter of the strength variable is greater than the shape parameter of the stress variable. While least squares estimators are the beast if the strength sample size is smaller than the stress sample size. Finally when the strength sample size is greater than the stress sample size, then the best estimators differ between the maximum likelihood estimators and Bayesian estimators. Bayesian estimators become the best when the shape parameter of stress variable is larger than the shape parameter of the strength variable. © 2025 The Author(s).

关键词： Maximum likelihood estimation

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Theoretical Study of Explosion Phenomena for a Semi-parabolic Problem 7th

Theoretical Study of Explosion Phenomena for a Semi-paraboli...

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7th International Arab Conference on mathematics and Computations, IACMC 2022

作者： Oudetallah, Jamal Chebana, Zainouba Oussaeif, Taki-Eddine Ouannas, Adel Batiha, Iqbal M. Department of Mathematics Faculty of Science and Technology Irbid National University Irbid2600 Jordan Department of Mathematics and Computer Science University of Larbi Ben M’hidi Oum El Bouaghi Algeria Ajman University Ajman United Arab Emirates

ISBN: (纸本)9789819904464

This paper aims to present the explosion phenomena for a special semi-parabolic problem with a classical Neumann condition where we are interested in the finite time to blow up by using the energy method. A new theoretical result is provided with its proof. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Finite-time blow-up of solution Nonlinear equations Parabolic equation

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Towards Leveraging Explainable Artificial Intelligent (XAI) in Requirements Engineering (RE) to Identify Aspect (Crosscutting Concern): A Systematic Literature Review (SLR) and Bibliometric Analysis 11

Towards Leveraging Explainable Artificial Intelligent (XAI) ...

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11th International Conference on Information Technology, ICIT 2023

作者： Magableh, Aws A. Yarmouk University Faculty of Computer Science and Information Technology Department of Information Systems Irbid Jordan

ISBN: (纸本)9798350320060

The software development life cycle contains many phases, among the most notable ones is requirements engineering (RE), it is considered a very important activity because poorly implemented RE steps can result in poor software quality which might lead to expensive maintenance costs and so many other undesirable issues. Thus, owing to the importance of RE in general and aspect (crosscutting concerns) identification in particular, researchers have proposed many approaches that can help to produce a clear and complete set of requirements document. On the other hand, artificial intelligence methods have a proven record of handling complicated text. Yet there is insufficient understanding of how AI and explainable AI can be employed and incorporated to be utilized in RE. Nevertheless, join forces to produce research for beneficial outcomes in this theme. The present study is a comprehensive SLR that reviewed the current state-of-the-art of AI/XAL in RE and aspect orientation. We reviewed the research from 2007 till 2022, PRISMA methodology is utilized to obtain a final set of (n =23) articles from four major scientific databases (Scopus, and Web of science). Clear and new taxonomies were invented during the review discussion. Additionally, to enhance the contribution of this research, a bibliometric comprehensive analysis was conducted on the basis of annual scientific production, country scientific production, and co-occurrence. As a result, it is deemed a noteworthy topic of extensive exploration especially after we identify critical research gaps with their corresponding solutions and generic thoughts to serve as a guide for future directions. © 2023 IEEE.

关键词： Requirements engineering

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Comprehensive Review of Physiological Signal-Based Emotion Recognition: Methods, Challenges, and Insights on Arousal and Valence Dimensions

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Procedia computer science 2025年 257卷 174-181页

作者： Yassir Kacimi Mehdi Adda Mathematics Computer Science and Engineering department University of Quebec at Rimouski Canada (QC)

This review examines emotion recognition from physiological signals, focusing on processing methods and classification techniques. Key aspects include signal acquisition challenges, emotion elicitation strategies, and feature extraction methods across time, frequency, and time-frequency domains. The analysis highlights the strengths of these methods in capturing emotional information from signals such as ECG, GSR, RSP, SKT, BVP, EMG, and EOG. Feature selection and dimensionality reduction are explored regarding their role in optimizing the feature space for classification. The review also evaluates machine learning approaches and their applications in emotion recognition. This work addresses current capabilities, limitations, and emerging trends and provides a comprehensive overview of physiological signal-based emotion recognition.

关键词： Emotion Recognition Physiological Signals Signal Processing Techniques Feature Extraction Selection Machine Learning for Emotion Classification

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Transformer-Based Question Answering Model for the Biomedical Domain 5

Transformer-Based Question Answering Model for the Biomedica...

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5th International Conference on Pattern Analysis and Intelligent Systems, PAIS 2023

作者： Haddouche, Ahcene Rabia, Ikram Aid, Aicha Bouira University Faculty of Sciences and Applied Sciences LIM Laboratory Computer Science Department Algeria

ISBN: (纸本)9798350381450

Motivation: Question Answering (QA) is a highly focused topic in the field of Natural Language Processing (NLP). Recent progress in neural network models and the availability of large datasets like SQuAD have played a significant role in improving performance in open domains. However, there remains a need to further effectively implement these systems in more specific domains, especially in the biomedical field, to help medical practitioners provide accurate solutions for inquiries related to medicine and healthcare, including specific subjects such as the COVID-19 disease. Fortunately, recent models, such as transformers, have opened up avenues and modern techniques for developing accurate ***: In this work, we aim to leverage transformer models and Transfer Learning to effectively train models in the biomedical domain. By taking a pre-Trained model for Question Answering tasks and further fine-Tuning it on specific domains, we enhance the system's performance in the biomedical domain. Our ultimate goal is to develop a QA model specifically tailored for COVID-19 ***: We have trained BERT and RoBERTa models on the COVID-QA dataset and achieved competitive results on COVID-19 QA. Our RoBERTa model achieved an Exact Match (EM)/F1 score of 0.38/0.64, respectively, on COVID-QA, indicating successful performance in COVID-19 QA. © 2023 IEEE.

关键词： COVID-19

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Data-Driven Design for Anomaly Detection in Network Access Control Systems 2

Data-Driven Design for Anomaly Detection in Network Access C...

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2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

作者： Muhammad, Musa Abubakar Caraffini, Fabio Fasanmade, Adebamigbe Ishola, Olabayo Mohammed, Kabiru Morden, Jarrad Coventry University School of Computing Mathematics and Data Science Coventry United Kingdom Swansea University Department of Computer Science Swansea United Kingdom De Montfort University School of Computer Science and Informatics Leicester United Kingdom

ISBN: (纸本)9798350335644

Current network access control systems can contain unpredictable interactions between multiple device models, multiple network protocol layers (e.g. TCP, UDP and ICMP), hardware, and clock-skew-specific influences, and cannot detect or identify abnormal behaviours based on the type of device. To complicate things further, the 'bring your own device' policy is increasing security threats, vulnerabilities, and risks to enterprise network environments, making intrusion detection and prevention systems unable to detect illegal and unauthorised access to devices in the enterprise network. The consequences can be disastrous. In this light, this work propose a simple but effective clustering approach capable of separating normal and abnormal network traffic patterns to detect such challenges (anomalies). The work in this paper applies this approach to single devices and aggregations of data per device type. Additionally, this work propose plotting the notched box for each cluster to acquire a better understanding of their data distributions and measuring the clusters' performance using the Adjusted Rand Index. The results show that the proposed method is valid, can be used in several contexts, and features a 95% confidence that most single device and device type distributions overlap, which makes them equivalently usable for anomaly detection purposes. © 2023 IEEE.

关键词： K-means clustering

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Genetic Algorithm Based Optimization of Circular Planar Coil Geometry With Homogeneous Magnetic Field Distribution 46

Genetic Algorithm Based Optimization of Circular Planar Coil...

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46th ICT and Electronics Convention, MIPRO 2023

作者： Bilandzija, Domagoj Vinko, Davor Filipovic, Luka Computer Science and Information Technology Osijek Faculty of Electrical Engineering Department of Communications Osijek Croatia

ISBN: (纸本)9789532331042

A prominent problem in planar resonant wire-less power transfer (WPT) systems is instability of efficiency and load power due to position misalignment of the receiver (RX) coil relative to postion of the transmitter (TX) coil. In order to keep stable efficiency and load power even in such misaligned condition it is necessary to design transmitter coil which generates homogeneous magnetic field in charging plane. In this paper, a geometry of planar transmitter coil which consist of multiple concentric circles is optimized by utilizing genetic algorithm. optimization goal is achieving as large as possible homogeneous region, i.e. portion of charging plane which is characterized by homogeneous magnetic field. Magnetic field evaluations are done by FEMM software. Proposed coil achieves continuous homogeneous region at 44.4% surface of charging plane. optimized coil and its homogenous region is compared to the state-of-the-art. © 2023 MIPRO Croatian Society.

关键词： Genetic algorithms

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Data and Model Centric Approaches for Card Fraud Detection 5

Data and Model Centric Approaches for Card Fraud Detection

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5th International Conference on computer and Applications, ICCA 2023

作者： Farag, Sara Barakat, Nahla The British University in Egypt Faculty of Informatics and Computer Science Artificial intelligence Department Cairo Egypt

ISBN: (纸本)9798350303254

Card fraud has become a widespread issue as technology advances and credit cards become more popular. Over the last decade, criminals have found diverse ways to steal card information or create duplicates without the cardholder's knowledge by deploying adaptive approaches against the system. Therefore, detecting suspicious behaviour of a card is critical for preventing fraudulent transactions. However, detecting fraud behaviour is challenging task, given that the transactions' data are imbalanced, and the adaptive fraudsters' approaches against the system. In this paper, a combination of data and model centric approaches are proposed for card fraud detection. Starting by data analysis and preprocessing, this was followed by feature engineering stage, then two main family of models were used. The first is an Auto Encoder for anomaly detection, and the second is time series prediction, utilizing Long Short-Term Memory (LSTM) and Convolution Neural Network. The variations of LSTM used include CNN-LSTM, LSTM-Attention mode, and CNN-LSTM with an attention layer. The latter achieved the State-of-the-Art F-score of 93% on the IBM data set. Best F-scores of 94% is also achieved by stacked LSTM on Sparkov dataset. © 2023 IEEE.

关键词： Anomaly detection

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Half-Width Microstrip Bidirectional Leaky-Wave Antenna with Dual-Frequency High-Gain Omnidirectional Radiation

Half-Width Microstrip Bidirectional Leaky-Wave Antenna with ...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Li, Hui-Dong Zhu, Lei University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering Taipa999078 China

ISBN: (纸本)9781733509657

In this work, a design method of a dual-frequency high-gain omnidirectional antenna is investigated and implemented. The antenna is based on the bidirectional leaky-wave antenna (Bi-LWA) theory, which can generate the desired high-gain radiation at broadside in one plane. To realize omnidirectional radiation in the other plane, the half-width microstrip line (HWMSL) was utilized. Moreover, the first and second modes of the HWMSL are both employed, this leads to the antenna operated at two separated frequencies. It is thereafter revealed that a hybrid first and second mode wave will be excited at the higher operation frequency, which is due to the high-pass property of the first mode. After that, a pin-loaded method is developed to suppress the undesired mode. The antenna is finally fabricated and measured. And the simulations and measurements both show that the predicted dual-frequency high-gain omnidirectional radiations are realized. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Computation theory

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Optimization of the test case minimization algorithm based on forward-propagation in cause-effect graphs 22

Optimization of the test case minimization algorithm based o...

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22nd International Symposium INFOTEH-JAHORINA, INFOTEH 2023

作者： Krupalija, Ehlimana Cogo, Emir Bećirović, Šeila Prazina, Irfan Pozderac, Damir Bešić, Ingmar University of Sarajevo Faculty of Electrical Engineering Department of Computer Science and Informatics Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9781665475464

Many different methods are used for generating blackbox test case suites. Test case minimization is used for reducing the feasible test case suite size in order to minimize the cost of testing while ensuring maximum fault detection. This paper presents an optimization of the existing test case minimization algorithm based on forward-propagation of the cause-effect graphing method. The algorithm performs test case prioritization based on test case strength, a newly introduced test case selection metric. The optimized version of the minimization algorithm was evaluated by using thirteen different examples from the available literature. In cases where the existing algorithm did not generate the minimum test case subsets, significant improvements of test effect coverage metric values were achieved. Test effect coverage metric values were not improved only in cases where maximum optimization was already achieved by using the existing algorithm. © 2023 IEEE.

关键词： Black-box testing

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