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Two-Mode Biomedical Sensor Build-up:Characterization of Optical Amplifier

computers, Materials & Continua 2022年第3期70卷 5487-5501页

作者： Usman Masud Fathe Jeribi Mohammed Alhameed Faraz Akram Ali Tahir Mohammad Yousaf Naudhani Faculty of Electrical and Electronics Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Electrical Communication Engineering University of KasselKassel34127Germany College of Computer Science&Information Technology Jazan UniversityJazan45142Saudi Arabia Faculty of Engineering and Applied Sciences Riphah International UniversityIslamabad44000Pakistan Faculty of Information&Communication Technology Balochistan University of Information TechnologyEngineering and Management SciencesQuetta

Intracavity absorption spectroscopy is a strikingly sensitive technique that has been integrated with a two-wavelength setup to develop a sensor for human *** factors are considered in such a scenario,out of which Relative Intensity Noise(RIN)has been exploited as an important parameter to characterize and calibrate the said *** the performance of an electrical based assessment arrangement which has been developed in the laboratory as an alternative to the expensive Agilent setup,the optical amplifier plays a pivotal role in its development and operation,along with other components and their ***,the investigation and technical analysis of the amplifier in the system has been explored in *** algorithm developed for the automatic measurements of the system has been effectively deployed in terms of the laser’s *** this in perspective,a frequency dependent calibration has been pursued in depth with this scheme which enhances the sensor’s efficiency in terms of its *** this way,our investigation helps us in a better understanding and implementation perspective of the proposed system,as the outcomes of our analysis adds to the precision and accuracy of the entire system.

关键词： Biomedical sensor cavity optomechanics spectroscopy relative intensity noise semiconductor laser diode

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Comparison of classical machine learning and ensemble techniques in the context of dengue severity prediction 1

Comparison of classical machine learning and ensemble techni...

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1st IEEE Colombian Caribbean Conference, C3 2023

作者： Arrubla-Hoyos, Wilson Seveiche-Maury, Zurisaddai Saeed, Khalid Gomez, Jorge Eliecer Gomez De-La-Hoz-Franco, Emiro University of Sucre Faculty of Engineering Sincelejo Colombia Bialystok University of Technology Faculty of Computer Science Bialystok Poland University of Cordoba Faculty of Engineering Monteria Colombia Corporación Universidad de la Costa Department Computer Science and Electronics Barranquilla Colombia

ISBN: (纸本)9798350341799

Dengue disease, spread by mosquitoes, affects a large part of the world's population. Early diagnosis is essential to avoid its severe impacts. This paper seeks to compare classical machine learning techniques with ensemble approaches in the early classification of dengue: Dengue without alarm signs (DNWS), Dengue with alarm signs (DWWS) and Severe Dengue (SD). A dataset available at https://***/ from the Colombian government with 53,814 records and 38 attributes is used. The data are processed in Google Colab using Pandas, Matplotlib and Numpy, while Scikit-learn is used for modeling. The results are supported by a detailed confusion matrix, revealing the actual performance of each model and highlighting the superiority of the ensemble approaches over classical techniques in early dengue classification. The Stacking method achieves an accuracy (Acc) of 88%, outperforming all other techniques employed. Among the classical techniques, Decision Tree (DT) achieved the best result with an Acc of 84%. In conclusion, when contrasting the performance of classical techniques and ensemble approaches in early dengue classification, it is highlighted that the latter demonstrate robustness in terms of quality metrics, such as accuracy, recall and F1-Score. This observation suggests that ensemble approaches have the potential to overcome the limitations associated with classical techniques, resulting in more robust and accurate achievements. © 2023 IEEE.

关键词： Decision trees

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A Comparative Study of Pure and Silver-Enhanced Graphene Antennas for Fat-Intrabody Communication

A Comparative Study of Pure and Silver-Enhanced Graphene Ant...

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Asia-Pacific Conference on Applied Electromagnetics, APACE

作者： Sree Aran Subramaniam Noor Badariah Asan Mohamad Zoinol Abidin Abd. Aziz Engineering Department Faculty of Electronics and Computer Technology & Engineering Universiti Teknikal Malaysia Melaka Melaka Technology Department Faculty of Electronics and Computer Technology & Engineering Universiti Teknikal Malaysia Melaka Melaka

ISBN: (数字)9798350364163

ISBN: (纸本)9798350364170

This paper presents the design and comparative study of two implant antennas utilizing graphene material for fat-intrabody communication (fat-IBC) in the 5.8 GHz Industrial, Scientific, and Medical (ISM) band. Both antennas use pure graphene and silver-enhanced graphene as radiating elements, fabricated on a Taconic TLY-3 substrate. Copper-conducting elements were used as the substitute conductive material in CST Microwave Studio simulation for the optimized designs. These antennas were then measured in a fat-tissue-equivalent phantom model, and the S 11 reflection coefficients were recorded. These results show that the silver-enhanced graphene antenna has better performance in conductivity and resonance sharpness compared with the pure graphene antenna, which can be applied for the fat-IBC system.

关键词： Microwave antennas Antenna measurements Graphene Bandwidth Microwave communication Conductivity Resonance Stability analysis Antennas Testing

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Successive Interference Cancellation Approach to Estimated Outage and Coverage Probability for UDN B5G Network 5

Successive Interference Cancellation Approach to Estimated O...

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5th IEEE International Conference on Artificial Intelligence in engineering and technology, IICAIET 2023

作者： Qamar, Faizan Gachhadar, Anand Ali Kazmi, Syed Hussain Hassan, Rosilah Faculty of Information Science and Technology UKM Bangi Selangor 43600 Malaysia Institute of Engineering Tribhuvan University Department of Electronics and Computer Engineering Kathmandu44600 Nepal

ISBN: (纸本)9798350304152

The rapid evolution of wireless communication technologies has led to the emergence of Ultra-Dense Networks (UDNs) in Beyond 5G (B5G) systems, providing unprecedented connectivity and capacity. However, the dense deployment of base stations in UDNs results in severe interference, leading to considerable performance challenges. To tackle this issue, the Successive Interference Cancellation (SIC) approach has gained attention as a promising technique to enhance system performance. This research article explores the potential of SIC implementation in 5G UDN. The primary contribution of this work is summarized as follows. Firstly, an improved SIC technique is developed to validate the theoretical study of SIC in a multi-tier 5G UDN. This technique enhances the accuracy of outage probability and coverage probability calculations by employing a stochastic geometry model that accurately represents the real-world scenario, considering the random distribution of both users and base stations within the UDN. Secondly, numerical simulations are conducted to demonstrate the effectiveness of the proposed SIC technique, surpassing traditional methods. The simulation results are compared with Zero Forcing (ZF) to assess the validity and applicability of the concept and validate the theoretical findings. This research contributes to advancing the understanding and practical implementation of SIC in UDN, paving the way for improved network performance and capacity in future wireless communication systems. © 2023 IEEE.

关键词： Base stations

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Enhanced Sensitivity of ISFET pH-Sensor Utilizing Reduced Graphene Oxide 6

Enhanced Sensitivity of ISFET pH-Sensor Utilizing Reduced Gr...

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6th Iranian International Conference on Microelectronics, IICM 2024

作者： Estakhroyeh, Hossein Rezaei Mehran, Mahdiyeh Rashedi, Esmat Shahid Bahonar University of Kerman RF MEMS and Bio-Nano Electronics Lab Department of Electrical Engineering Kerman Iran Graduate University of Advanced Technology Faculty of Electrical and Computer Engineering Kerman Iran

ISBN: (纸本)9798331511371

With an emphasis on the sensitivity of various gate-sensing layers, the current work sought to examine how well Ion-Sensitive Field-Effect Transistors (ISFETs) function as pH sensors. Reduced Graphene Oxide (rGO) has been investigated as a potential sensing material for ISFET sensors, however Metal Oxides have historically been the material of choice for the gate-sensing layer because of its stability and dependability. ISFET sensors using rGO as the sensing material and those with traditional Metal Oxide gate layers were thoroughly compared. The performance of the sensors was assessed under a range of operating situations by multiphysics modeling with finite element methods using COMSOL Multiphysics software. The results showed a considerable improvement in sensor performance when rGO was used as the gate-sensing layer. A lower threshold voltage needed to activate the sensor and a higher sensitivity to pH variations were two of these enhancements. In ISFET sensors for pH monitoring, this work emphasizes the benefits of adopting alternate gate materials, such rGO. For the purpose of creating more dependable and efficientpH-sensing instruments for a range of scientific and industrial applications, it is helpful to analyze the fundamental mechanics and performance characteristics of sensors. © 2024 IEEE.

关键词： Threshold voltage

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Cancelable Speaker Identification System Based on Optical-Like Encryption Algorithms

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computer Systems Science & engineering 2022年第10期43卷 87-102页

作者： Safaa El-Gazar Walid El-Shafai Ghada El-Banby Hesham F.A.Hamed Gerges M.Salama Mohammed Abd-Elnaby Fathi E.Abd El-Samie Department of Electrical Engineering Faculty of EngineeringEgyptian-Russian UniversityCairoEgypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Biometric authentication is a rapidly growing trend that is gaining increasing attention in the last *** achieves safe access to systems using biometrics instead of the traditional *** utilization of a biometric in its original format makes it usable only ***,a cancelable biometric template should be used,so that it can be replaced when it is *** biometrics aims to enhance the security and privacy of biometric *** encryption is an efficient technique to be used in order to generate cancelable biometric *** this paper,a highly-secure encryption algorithm is proposed to ensure secure biometric data in verification *** considered biometric in this paper is the speech *** speech signal is transformed into its ***,the spectrogram is encrypted using two cascaded optical encryption *** first algorithm is the Optical Scanning Holography(OSH)for its efficiency as an encryption *** OSH encrypted spectrogram is encrypted using Double Random Phase Encoding(DRPE)by implementing two Random Phase Masks(RPMs).After the two cascaded optical encryption algorithms,the cancelable template is *** verification is implemented through correlation estimation between enrolled and test templates in their encrypted *** the correlation value is larger than a threshold value,the user is *** threshold value can be determined from the genuine and imposter correlation distribution curves as the midpoint between the two *** implementation of optical encryption is adopted using its software rather than the optical *** efficiency of the proposed cancelable biometric algorithm is illustrated by the simulation *** can improve the biometric data security without deteriorating the recognition *** results give close-to-zero This values for the Equal Error Rate(EER)and close-to-one values for the Area under Receiver Operator Charact

关键词： Cancelable biometrics spectrogram OSH DRPE EER AROC

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Forecasting of Monkeypox Cases Using Optimized SARIMAX Based Model 3

Forecasting of Monkeypox Cases Using Optimized SARIMAX Based...

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3rd IEEE International Conference on Electronic engineering, ICEEM 2023

作者： Elshabrawy, Mahmoud Eid, Marwa M. Abdelhamid, Abdelaziz A. El-Kenawy, El-Sayed M. Ibrahim, Abdelhameed Delta Higher Institute of Engineering and Technology Dept. of Communications & Electronics Mansoura Egypt Delta University for Science and Technology Faculty of Artificial Intelligence Mansoura35111 Egypt Ain Shams University Faculty of Computer and Information Sciences Dep. of Computer Science Cairo Egypt University Mansoura Faculty of Engineering Computer Engineering and Control Systems Dept. Egypt

ISBN: (纸本)9798350323511

This study presents a dipper-throated-based ant colony optimization (DTACO) with the Seasonal Auto-Regressive Integrated Moving Average with eXogenous factor (SARIMAX) model (DTACO+SARIMAX) to forecast monkeypox cases. The work optimizes the SARIMAX model using grid search cross-validation and fine-tunes its hyperparameters using DTACO to improve prediction accuracy. The suggested model's consistency and accuracy are considerable compared to previous studies. Comparisons with state-of-the-art models validate the proposed model's predictions. DTACO+SARIMAX can be used to control disease and monitor monkeypox. Healthcare organizations and governments can better manage and track the pandemic's course by offering accurate predictions, reducing public panic, and enabling effective pandemic planning. The Analysis of Variance (ANOVA) and Wilcoxon signed-rank tests are conducted on the proposed DTACO-SARIMAX model and compared models. © 2023 IEEE.

关键词： Ant colony optimization

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Novel optimal region based robust watermarking using modified dragonfly optimization algorithm

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International Journal of Information technology (Singapore) 2025年第2期17卷 851-858页

作者： Shamna, N.V. Kaur, Puneet Raghavendra Patil, G.E. Krishna, Nanditha P A College of Engineering Dept of CSE (IoT & amp Cyber Security including Blockchain Technology) Karnataka India EEE UIET Panjab University Chandigarh India Department of Computer Science and Engineering Faculty of Engineering and Technology Jain Deemed-to be University Karnataka Bengaluru 562112 India Department of Medical Electronics Engineering Dayananda Sagar College of Engineering Bengaluru India

The growing concern about unauthorized access and tampering with digital images requires the development of robust and secure watermarking methods. Traditional approaches frequently struggle with achieving a balance between security, image quality, and watermark strength, especially in high-resolution images. This study addresses these issues by proposing a new watermarking technique that combines the Blowfish encryption algorithm, the Discrete Wavelet Transform (DWT), and the Modified dragonfly optimization algorithm (MDFOA). The proposed approach begins with the Blowfish algorithm encrypting the secret image, providing increased security even if the watermark is detected. High-frequency features are preserved by embedding the encrypted watermark within the LL subband of the cover image, which is generated using DWT decomposition. MDFOA is used to identify the best embedding places inside the LL subband, which improves the watermark's concealment and resilience. The same methodology is used to repeat the extraction process, providing reliable and secure data transmission throughout the process. The proposed method is a highly effective solution for secure and high-quality image watermarking. It outperforms existing techniques in terms of Peak Signal-to-Noise ratio (PSNR), Normalized correlation (NC), Bit error rate (BER), and Normalized absolute error (NAE), according to extensive experiments conducted on a variety of high-resolution images. © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Blowfish encryption algorithm Discrete wavelet transform Modified dragonfly optimization algorithm Watermarking technique

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Integrating Decision Trees with Cloud Computing for Predicting Cognitive Decline in Alzheimer's Patients 2

Integrating Decision Trees with Cloud Computing for Predicti...

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2nd IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2024

作者： Meenakshi, K. Ravinder, Bathini Pasha, Mohammed Rehaman Thinakaran, K. Jayanayudu, Dabbara Maniraj, S.P. SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Vadapalani India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Guntur India Malla Reddy Institute of Engineering and Technology Department of Computer Science and Engineering Telangana Hyderabad India Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Saveetha School of Engineering Tamil Nadu Chennai India Siddartha Institute of Science and Technology Department of Electronics and Communication Engineering Andhra Pradesh Puttur India SRM Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350317558

The proposed research work suggests a combined technique based on decision trees and cloud computing for predicting cognitive decline in Alzheimer's patients. Medical records and data from wearable devices are among the many sources that perform preprocessing and feature engineering. Decision tree models can make the most efficient use of computing resources. Decision tree topologies are tested for performance criteria, including accuracy and F1 score. The system's predictive powers are rather encouraging since it frequently achieves accuracy rates over 90%. However, limitations in data quality and the intricacy of decision tree interpretation provide challenges. The prediction of cognitive deterioration in Alzheimer's patients may be made more scalable and interpretable by integrating decision trees with cloud computing. This method has promise for early identification and intervention despite its limitations. To further improve prediction accuracy and clinical value, future research should increase data quality and make it easier to understand. © 2024 IEEE.

关键词： Alzheimer's disease Cloud computing Decision trees Early detection Healthcare

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Preserving Privacy of User Identity Based on Pseudonym Variable in 5G

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computers, Materials & Continua 2022年第3期70卷 5551-5568页

作者： Mamoon M.Saeed Mohammad Kamrul Hasan Rosilah Hassan Rania Mokhtar Rashid A.Saeed Elsadig Saeid Manoj Gupta Electrical Engineering Department Faculty of EngineeringAlzaiem Alazahri UniversityKhartoumSudan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti KebangsaanMalaysia(UKM)43600BangiMalaysia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityPO Box 11099Taif21944Saudi Arabia Department of Electronics Engineering College of EngineeringSudan University of Science and TechnologyKhartoumSudan Department of Electronics and Communication Engineering JECRC UniversityJaipurIndia

The fifth generation(5G)system is the forthcoming generation of the mobile communication *** has numerous additional features and offers an extensively high data rate,more capacity,and low ***,these features and applications have many problems and issues in terms of security,which has become a great challenge in the telecommunication *** paper aimed to propose a solution to preserve the user identity privacy in the 5G system that can identify permanent identity by using Variable Mobile Subscriber Identity,which randomly changes and does not use the permanent identity between the user equipment and home *** this mechanism,the user identity privacy would be secured and ***,it improves the synchronization between mobile users and home ***,its compliance with the Authentication and Key Agreement(AKA)structure was adopted in the previous *** can be deployed efficiently in the preceding generations because the current architecture imposes minimal modifications on the network parties without changes in the authentication vector’s message ***,the addition of any hardware to the AKA carries minor adjustments on the network *** this paper,the ProVerif is used to verify the proposed scheme.

关键词： 5G privacy and security user identity IMSI authentication and key agreement(AKA)

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