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Security to text (S2T): multi-layered based security approaches for secret text content

Multimedia Tools and Applications 2025年第15期84卷 15151-15171页

作者： Kashid, Shamal Awasthi, Lalit K. Berwal, Krishan Department of Computer Science and Engineering National Institute of Technology Uttarakhand IN Srinagar India Faculty of Communication Engineering Military College of Telecommunication Engineering IN Mhow India

In the digital world, text data is produced in an unstructured manner across various communication channels. Extracting valuable information from such data with security is crucial and requires the development of techniques in text mining, information retrieval, and natural language processing (NLP). To solve this issue, we introduce two novel approaches: keyword extraction (KE) and a multi-layered secret sharing scheme (MLSS) to provide security to extracted keywords rather than overall text documents. The KE approach encompasses a sequence of text pre-processing procedures, including tokenization, stopword removal, stemming, and bag of words representation, followed by indexing. This methodology aims to efficiently extract keywords from text datasets. For this research work, we have proposed three datasets, including text messages, whatsapp messages, and electronic mail. MLSS enhances the security of extracted textual data by leveraging text pre-processing steps. This scheme ensures better confidentiality and the non-revealment of sensitive information. Additionally, we evaluate our KE model on our dataset as well as on standard datasets. Experimental results demonstrate the effectiveness of our proposed security to text (S2T) model, which outperform existing state-of-the-art approaches. The model obtains a 100% correlation between the reconstructed text and the original text. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Extraction

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Advising and Scheduling Tool Based on Electrical Power engineering Concepts

Advising and Scheduling Tool Based on Electrical Power Engin...

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2025 International Conference on Control, Automation, and Instrumentation, IC2AI 2025

作者： Nehme, Bechara Al Ahmar, Elie Zalaket, Joseph Electrical Telecommunication and Computer Engineering Department Jounieh Lebanon University Furn El Chebbak Faculty of Engineering Sagesse Baabda Lebanon

ISBN: (纸本)9798331529604

University administrations are always in need for tools to optimize their operation decreasing operational costs and ensuring a good learning experience for students. Advising and course offering are two main tasks that require knowledge in the field and expertise. The tasks need also data and its related analytics. This paper presents an innovative advising tool based on data mining leveraging from electrical power concepts. The tool uses Python and Excel to automate advising sheets and electrical power engineering by applying simultaneity and the factor of utilization to students records and courses to predict future course enrollment with a RMSE=0.75. The research proposed is unique since it helps administration and advisors. With the reduction of resources and disruption of the classical educational system new tools should be elaborated to reduce costs and secure on time graduation of students. © 2025 IEEE.

关键词： Students

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Hybrid Reptile-Snake Optimizer Based Channel Selection for Enhancing Alzheimer’s Disease Detection

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Journal of Bionic engineering 2025年第2期22卷 884-900页

作者： Digambar Puri Pramod Kachare Smith Khare Ibrahim Al-Shourbaji Abdoh Jabbari Abdalla Alameen Department of Electronics and Telecommunication Ramrao Adik Institute of TechnologyD.Y.Patil CampusNavi-MumbaiMaharashtra400706India Maersk Mc-Kinney Moller Institute Faculty of EngineeringUniversity of Southern DenmarkOdenseDenmark Department of Electrical and Electronics Engineering Jazan UniversityJazan45142Saudi Arabia Department of Computer Science University of HertfordshireHatfieldUK Department of Computer Engineering and Information College of Engineering in Wadi AlddawasirPrince Sattam Bin Abdulaziz UniversityWadi Alddawasir11991Saudi Arabia

The global incidence of Alzheimer's Disease(AD)is on a swift *** Electroencephalogram(EEG)signals is an effective tool for the identification of AD and its initial Mild Cognitive Impairment(MCI)stage using machine learning *** of AD using EEG involves multi-channel ***,the use of multiple channels may impact the classification performance due to data redundancy and *** this work,a hybrid EEG channel selection is proposed using a combination of Reptile Search Algorithm and Snake Optimizer(RSO)for AD and MCI detection based on decomposition *** Mode Decomposition(EMD),Low-Complexity Orthogonal Wavelet Filter Banks(LCOWFB),Variational Mode Decomposition,and discrete-wavelet transform decomposition techniques have been employed for subbands-based EEG *** extracted thirty-four features from each subband of EEG ***,a hybrid RSO optimizer is compared with five individual metaheuristic algorithms for effective channel *** effectiveness of this model is assessed by two publicly accessible AD EEG *** accuracy of 99.22% was achieved for binary classification from RSO with EMD using 4(out of 16)EEG ***,the RSO with LCOWFBs obtained 89.68%the average accuracy for three-class classification using 7(out of 19)*** performance reveals that RSO performs better than individual Metaheuristic algorithms with 60%fewer channels and improved accuracy of 4%than existing AD detection techniques.

关键词： Alzheimer's Disease Brain disorder Electroencephalogram Reptile Search Algorithm Snake Optimizer Optimization

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Static Video Summarization Using Transfer Learning and Clustering 2nd

Static Video Summarization Using Transfer Learning and Clus...

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2nd International Conference on Artificial Intelligence: Towards Sustainable Intelligence, AI4S 2024

作者： Kashid, Shamal Awasthi, Lalit K. Berwal, Krishan Saini, Parul Computer Science and Engineering NIT Uttarakhand Srinagar India Faculty of Communication Engineering Military College of Telecommunication Engineering Indore India

ISBN: (纸本)9783031813689

This research presents a novel approach to video summarization (VS) for efficiently extracting keyframes, reducing video redundancy while preserving essential content. The method combines deep learning and clustering techniques to generate concise video summaries by analyzing videos frame by frame. Using a dual convolutional neural network (CNN), we extract deep-level features. K-means clustering is then applied to group the feature descriptors of the video frames into keyframes and non-keyframes. This K-means clustering-based VS (KVS) method effectively selects the most relevant frames from the extracted features. Our proposed KVS approach outperforms existing VS techniques, achieving an average F-score of 73.1 and 76.3 on two benchmark datasets, Open Video and YouTube, respectively, demonstrating its superior ability to produce informative video summaries. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Video analysis

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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm

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International Journal of Cognitive Computing in engineering 2025年第1期6卷 74-99页

作者： Saat, Shahrizal Ahmad, Mohd Ashraf Ghazali, Mohd Riduwan Faculty of Electronics and Computer Technology and Engineering Universiti Teknikal Malaysia Melaka Durian Tunggal Melaka 76100 Malaysia Faculty of Electrical and Electronics Engineering Technology Universiti Malaysia Pahang Al-Sultan Abdullah Pahang Pekan26600 Malaysia Center for Telecommunication Research & Innovation Universiti Teknikal Malaysia Melaka Durian Tunggal Melaka 76100 Malaysia Center for Advanced Industrial Technology Universiti Malaysia Pahang Al-Sultan Abdullah Pahang Pekan26600 Malaysia

The increasing complexity of modern plant systems and the limitations of precise mathematical modeling have led to a shift towards data-driven control methods. These methods present an effective alternative that treats plants as black-box systems without requiring explicit models. The safe experimentation dynamics algorithm (SEDA) is one such method that optimizes controller parameters using data-driven techniques. Nonetheless, control performance can be limited by the fixed probability coefficient used in the original SEDA to disrupt design parameters, especially when balancing exploration and exploitation phases. This study proposes an enhanced version of the SEDA: the modified SEDA (MSEDA), to address this issue. The MSEDA introduces a dynamic probability coefficient that decreases with each iteration. The adjustment improves the balance between exploration and exploitation phases, which enhances control accuracy. The MSEDA was used to tune the brain emotional learning-based intelligent controller (BELBIC) together with a proportional-integral-derivative (PID) controller. The result was the BELBIC-PID controller inspired by the limbic system of the human brain, which has high precision. The effectiveness of the proposed MSEDA-BELBIC-PID was validated using simulations on multi-input multi-output (MIMO) systems, with a focus on tracking performance and computational efficiency. The statistical analysis of 30 independent trials demonstrated that the proposed MSEDA-BELBIC-PID was significantly improved over the original SEDA-BELBIC-PID. Wilcoxon's rank test yielded a fitness function p-value © 2024 The Authors

关键词： Three term control systems

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CMA of Non-uniform Metasurface Circularly-Polarized Slotted-Patch Antenna with L-Shaped Feed Structure

CMA of Non-uniform Metasurface Circularly-Polarized Slotted-...

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International Electrical engineering Congress (iEECON)

作者： Chanwit Musika Jessada Konpang Phatsakul Thitimahatthanakusol Nathapat Supreeyatitikul Department of Computer Science Faculty of Science and Technology Rajamangala University of Technology Krungthep Bangkok Thailand Department of Electrical and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Krungthep Bangkok Thailand Department of Telecommunication Engineering Faculty of Engineering and Technology Rajamangala University of Technology Isan Ratchasima Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This research presents a non-uniform metasurface (MTS) scheme circularly-polarized slotted-patch (CPSP) antenna for modern cellular technology. The proposed non-uniform MTS CPSP antenna was combined with non-uniform MTS scheme (upper-layer substrate) and slot-coupled feed (lower-layer substrate). The slot-coupled feed comprised of the L-shaped microstrip-line feed and rhombus-slotted ground plane. The non-uniform MTS scheme was characterized using characteristic mode analysis (CMA). The CP mode at 4.6 GHz (center frequency) was realized by two orthogonal modes (modes 1 and 2). To achieve wide return loss bandwidth (RLBW), the use of the different sizes (two sizes) of square-shaped MTS unit cells was adopted. The simulated RLBW and axial ratio bandwidth (ARBW) results achieved 34.78% (between 4.1 – 5.7 GHz) and 5.65% (between 4.43 – 4.69 GHz). The optimal gain of right-hand circular polarization was 3.56 dBic at 4.35 GHz, rendering this proposed non-uniform MTS CPSP antenna is functional for wireless communications.

关键词： Wireless communication Electrical engineering Polarization Slot antennas Bandwidth Antenna feeds Metasurfaces Rendering (computer graphics) Microstrip Substrates

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Wideband Four-Element L-Shaped Notch-Patch MIMO Antenna for 5G NR Networks

Wideband Four-Element L-Shaped Notch-Patch MIMO Antenna for ...

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International Electrical engineering Congress (iEECON)

作者： Chanwit Musika Nathapat Supreeyatitikul Phatsakul Thitimahatthanakusol Jessada Konpang Department of Computer Science Faculty of Science and Technology Rajamangala University of Technology Krungthep Bangkok Thailand Department of Electrical and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Krungthep Bangkok Thailand Department of Telecommunication Engineering Faculty of Engineering and Technology Rajamangala University of Technology Isan Ratchasima Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This work proposes simply wideband four-element L-shaped notch-patch (LNP) MIMO antenna for 5G new radio (NR) networks. The proposed LNP MIMO antenna comprised of four-port antenna elements. The single antenna scheme contained L-shaped with notch microstrip patch antenna and modified ground plane. The proposed LNP MIMO antenna at 4.5 GHz (center frequency) can be provided impedance bandwidth (IBW) of 64% (3.57 – 6.45 GHz). The LNP MIMO antenna has been evaluated the MIMO performance metrics, including transmission coefficient (isolation), envelop correlation coefficient (ECC), diversity gain (DG), and mean effective gain (MEG). The simulated results of the LNP MIMO antenna achieved isolation of 20 dB, ECC of below 0.005, DG of above 9.975 dB, and MEG of approximately -3 dB. All simulated results are in good satisfactory, rendering the proposed LNP MIMO antenna suitable for 5G applications.

关键词： Antenna measurements 5G mobile communication Transmitting antennas Microstrip antennas Rendering (computer graphics) Broadband antennas Microstrip Antennas Wideband Substrates

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StreamTag: A Platform for Flexible Tagged Data Management 11

StreamTag: A Platform for Flexible Tagged Data Management

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11th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2025

作者： Díaz-Jiménez, David Mata-Mata, Francisco López, José L. Pérez-Cordón, Luis G. Serrano, José-María Martínez-Cruz, Carmen Morcillo-Martínez, Juana M. Verdejo-Espinosa, Ángeles Cuevas-Martínez, Juan C. Viciana-Abad, Raquel Reche-López, Pedro J. Pérez-Lorenzo, José M. Gaitán-Guerrero, Juan F. Espinilla, Macarena Department of Computer Science University of Jaén Jaén23071 Spain Department of Languages and Computer Systems University of Granada Granada18071 Spain Psycology Department Faculty of Social Work University of Jaén Jaén23071 Spain Electrical Engineering Department University of Jaén Jaén23071 Spain Telecommunication Engineering Department University of Jaén Jaén23071 Spain

ISBN: (纸本)9789897587436

This paper presents StreamTag, a platform designed for the efficient management of labeled data in healthcare environments, particularly for activity recognition systems in residential and nursing home settings. Human Activity Recognition (HAR) is crucial for monitoring patient behaviors and supporting personalized care, and this field has evolved significantly with advances in IoT and AI. StreamTag integrates a flexible data labeling structure and a modular architecture, enabling data collection, labeling, and secure management of activity data. The system leverages non-relational databases for scalable data handling, along with secure protocols to ensure data integrity and privacy. This work examines existing approaches in HAR, including data-driven, knowledge-based, and hybrid models, and situates StreamTag as a versatile solution that combines flexible user-controlled labeling with high adaptability for diverse healthcare contexts. Future directions are suggested for enhancing system functionality and integration with more advanced analytical tools. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Information management

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Advising and Scheduling Tool Based on Electrical Power engineering Concepts

Advising and Scheduling Tool Based on Electrical Power Engin...

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Control, Automation, and Instrumentation (IC2AI), International Conference on

作者： Bechara Nehme Elie Al Ahmar Joseph Zalaket Electrical Telecommunication and Computer Engineering department Holy Spirit University of Kaslik (USEK) Jounieh Lebanon Faculty of Engineering Sagesse University Furn El Chebbak Baabda Lebanon

ISBN: (数字)9798331529604

ISBN: (纸本)9798331529611

关键词： Schedules Power engineering Costs Instruments Process control Machine learning Data mining Optimization Resilience Python

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Quad-Mode H-Beam Metasurface-Embedded Dual-Band Circularly-Polarized Multi-Tiered Antenna Scheme with 5G (n79) and Wi-Fi 6E Capabilities

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IEEE Access 2025年 13卷 89844-89857页

作者： Supreeyatitikul, N. Chomtong, P. Konpang, J. Thitimahatthanakusol, P. Akkaraekthalin, P. Rajamangala University of Technology Krungthep Faculty of Engineering Department of Electrical and Telecommunication Engineering Bangkok10120 Thailand King Mongkut’s University of Technology North Bangkok Faculty of Technical Education Department of Teacher Training in Electrical Engineering Bangkok10140 Thailand Rajamangala University of Technology Isan Faculty of Engineering and Technology Department of Telecommunications Engineering and Digital Innovation Nakhon Ratchasima30000 Thailand King Mongkut’s University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok10140 Thailand

This research proposes a quad-mode H-beam metasurface (MTS)-embedded dual-band circularly-polarized (CP) multi-tiered antenna scheme with 5G (n79) and Wi-Fi 6E capabilities. The proposed antenna scheme consists of three layers of corner-truncated FR-4 substrates without an air gap. The upper substrate contains an array of 3 × 4 H-beam MTS elemental units tilted at 49°. The middle substrate is a copper plate with a horizontal Z-shaped slot at its center functioning as the ground plane, and the lower substrate contains a microstrip feed line. Characteristic mode analysis (CMA) is employed to optimize the circular polarization of the MTS structure. Results show that Modes 1 & 2 at 4.81 GHz and Modes 4 & 9 at 6.2 GHz contribute to CP radiation. The measured return loss bandwidths of the antenna are 19.37% (4.63 – 5.56 GHz) and 9.51% (5.97 – 6.56 GHz) for the 5G (n79) and Wi-Fi 6E bands. The measured axial ratio bandwidths are 13.33% (4.6 – 5.24 GHz) and 1.77% (6.15 – 6.26 GHz), with maximum gains of 5.2 and 3.9 dBic at 5.5 and 6.2 GHz, respectively. Unlike conventional MTS-based CP antennas which employ rectangular- or square-shaped MTS elements for single-band operation, this work utilizes H-beam-shaped MTS elemental units to achieve dual-band CP capability. Additionally, rather than traditional full-wave methods, CMA is used to optimize circular polarization. Essentially, the proposed antenna scheme is suitable for 5G (n79) and Wi-Fi 6E communications. © 2013 IEEE.

关键词： Circular polarization

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