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3rd International Conference on Electrical Machines and Drives, ICEMD 2023

作者： Toulabi, Mohammad Sedigh Filizadeh, Shaahin Wang, Liwei Farahzadi, Mohammad Nasiri-Zarandi, Reza Abbaszadeh, Karim University of Windsor Department of Electrical and Computer Engineering WindsorON Canada University of Manitoba Department of Electrical and Computer Engineering WinnipegMB Canada University of British Columbia Department of Electrical and Computer Engineering KelownaBC Canada University of Science and Culture Faculty of Electrical Engineering Tehran Iran Niroo Research Institute Electric Machines Research Centre Tehran Iran K.N. Toosi University of Technology Faculty of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350393743

Significant voltage overshoots are observed in the input terminals of long cable pulse-width modulation (PWM)-fed induction machines, which can detrimentally impact the machine's lifespan and performance. To mitigate this concerning phenomenon, dv/dt filters consisting of R, L, and C elements are used in the circuit. In this paper, the high-frequency model of a long cable PWM-fed induction machine is established, incorporating the high-frequency models of the machine and long cable, as well as the pulses generated by the PWM converter and filters. Differential mode and common mode impedance measurements are employed to develop the high-frequency model of the induction machine, while short circuit and open circuit impedance tests are conducted to establish the high-frequency models of the long cable. The transmission line modeling approach is then utilized to incorporate the high-frequency modeled machine and long cable, enabling the prediction of voltage overshoots at the machine's terminal. Three distinct dv/dt filters are placed at the beginning, middle, and end of the long cable to mitigate the voltage overshoots in the terminal of the PWM-fed induction machine. Test results are presented for a 100 m cable, 2 hp machine fed by a PWM converter in the presence of the dv/dt filters, aiming to identify the appropriate filter location for minimizing voltage overshoots in the terminals of the machine. © 2023 IEEE.

关键词： Pulse width modulation

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PolyLite: A Lightweight Transformer With Multi-Scale Attention for Colorectal Polyp Segmentation 15

PolyLite: A Lightweight Transformer With Multi-Scale Attenti...

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15th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2023

作者： Elkarazle, Khaled Raman, Valliappan Chua, Caslon Then, Patrick Faculty of Engineering Sarawak Malaysia Coimbatore Institute of Technology Department of Artificial Intelligence and Data Science Tamil Nadu India University of Technology Department of Computer Science and Software Engineering Swinburne Melbourne Australia

ISBN: (纸本)9798350316551

The urgent need for early detection and intervention in colorectal cancer highlights the importance of automating colorectal polyp detection. Despite the use of deep learning techniques for polyp detection from medical images, these methods often struggle with issues such as skewed data distribution and class imbalances. In this study, we introduce PolyLite, a lightweight transformer-based model designed to balance performance and efficiency. PolyLite features a custom SegFormer encoder that takes advantage of its lightweight design, and a decoder that uses a multi-scale attention network (MA-NET) to achieve an optimal balance between accuracy and efficiency. To improve accuracy and reduce false negatives, we incorporate a reverse attention layer that effectively counteracts input mask attention during training. This refocuses the model's efforts to better learn non-polyp regions. PolyLite undergoes a two-stage training process, beginning with pre-training on the ImageNet dataset and then fine-tuning on the Kvasir-SEG dataset. We conduct rigorous evaluations on three complex datasets: CVC-ClinicDB, CVC-ColonDB, and ETIS-LaribPolypDB. Empirical results demonstrate PolyLite's superiority over existing techniques, as evidenced by its performance in terms of Intersection over Union and Dice scores. This validates its effectiveness and scalability in polyp segmentation, making complex and computationally intensive architectures unnecessary. © 2023 IEEE.

关键词： Efficiency

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Optimal Control Problem and Its Application in COVID-19 Transmission Dynamics

Optimal Control Problem and Its Application in COVID-19 Tran...

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International Conference on Advanced engineering, Technology and Applications, ICAETA 2024

作者： Rahman, Md. Habibur Uddin, Mahtab Hossain, Yamin Sarkar, Nijam Uddin Islam, Md Aminul Siddique, Nafees Ahmed, Ashek Birahim, Shaikh Afnan Department of Mathematics University of Chittagong Chittagong Bangladesh Institute of Natural Sciences United International University Dhaka Bangladesh Department of Computer Science and Engineering VIT-AP University Andhra Pradesh India Institute of Statistical Research and Training University of Dhaka Dhaka Bangladesh Lead Researcher RNB Lab Dhaka Bangladesh Department of Computer Science American International University Dhaka Bangladesh Department of Computer Science and Engineering Royal University of Dhaka Dhaka Bangladesh

ISBN: (纸本)9783031709234

Optimal control techniques are among the most significant technical concepts that can be applied to medical concerns. Establishing a control law for a particular system mathematical model under specified restrictions to meet a specific optimality criterion is known as optimal control. To evaluate the effect of vaccination on the spread of infectious disease and try to decrease the infected group, an optimal control strategy known as Pontryagin’s principle applied in this project. This work develops and thoroughly analyzes and assesses two crucial COVID-19 therapeutic interventions: immunizing susceptible individuals and treating infected individuals under quarantine. A relevant set of conditions is met by proving the presence, distinctiveness, positivity, and unchanging domain of response, among other essential aspects of the model system. The model shows two equilibrium points: one is disease-free and the other that, under some circumstances, is endemic. The fundamental reproduction number R0 is obtained using the next-generation matrix technique, and the model’s dynamic behavior is thoroughly examined. When the corresponding primary reproduction number is smaller than unity, the analytical study shows that the unaffected-by-illness balance approach is both globally and locally stable over time, indicating that COVID-19 has died out in the population. Additionally, anytime the corresponding primary reproduction number surpasses a unity, suggesting that COVID-19 becomes established among the population. The primary reproduction number is subjected to a sensitivity analysis to determine the most critical factors that influence the spread of infection and its control. These are factors that intervention efforts should focus on. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： COVID-19

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Experimental Analysis on Detection of Emotions by Facial Recognition using Different Convolution Layers 8

Experimental Analysis on Detection of Emotions by Facial Rec...

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8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022

作者： Kezia, S. Grace Mary Kanaga, E. Eugene Kingsley, H. Raghhul, R. Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India Birla Institute of Technology and Science Department of Data Science and Engineering Rajasthan Pilani India Sri Ramakrishna Engineering College Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665408165

This Emotions have been playing a crucial part in the social, physical, and mental life. Hence identifying the emotions by recognizing the facial expression of the user is of utmost importance. This information obtained will help in various recommendation systems like music, products, books etc. In this paper, the emotions are detected by using the facial data and the results are compared between CNN model and DCNN model. The dataset used was FER-2013, which included 28,000 annotated photos in the training set, 3,500 in the training set, and 3,500 in the test set. In FER-2013, each image is assigned to one of seven emotions: happy, sad, angry, afraid, surprise, disgust, and neutral. The parameters chosen are applied to three different models created by altering Convolution Layers, demonstrating that as the number of layers grow, accuracy improves. © 2022 IEEE.

关键词： Convolution

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Traffic management in smart cities using support vector machine for predicting the accuracy during peak traffic conditions

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Materials Today: Proceedings 2022年 62卷 4980-4984页

作者： Devi, T. Alice, K. Deepa, N. Department of Computer Science & Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Computing Technologies SRMIST KTR Campus Chengalpattu India

Mobility is the main key for smart living, where navigation and automatic suggestions are also a strategy for a successful life in smart cities. Big Data analytics are behind urban changes in the mobility of smart cities to bring sustainable life. By the year 2025 all over Indian states can reach the expected lifestyle by providing high security and mobility which can grow the opportunities also high. As the population is rapidly increasing, the needs of people are also increasing such that necessitating real-time apps for daily needs, communication devices, and so on. We focus our idea on the benefits of traffic and safety measures which are becoming a huge challenge nowadays. Many are preferred with sophistication when traveling for short distances. In such a way the big data analytics tools R studio and weka are used on the dataset smart city from the Kaggle website for traffic patterns during the high traffic duration. Using the dataset, the data are classified using a Support vector machine (SVM) and applied with regression such as linear, logistic regression to find the accuracy of traffic peak situations. The proposed work aims to compare the efficiency of big data technologies which can be applied using various classification and regression that can be shown on various tools such as R, Weka, map-reduce which can produce accurate results to visualize the smart cities and their traffic analysis. © 2022

关键词： Support vector machines

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A Regression-Based Approach to Optimize Curved Beam Parameters for Micro-Scale Bistable Actuation 21

A Regression-Based Approach to Optimize Curved Beam Paramete...

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21st International Bhurban Conference on Applied sciences and Technology, IBCAST 2024

作者： Tariq, Muhammad Owais Bazaz, Shafaat Ahmad Ahmed, Hussain The Superior University Faculty of Engineering and Technology Lahore Pakistan Sir Syed CASE Institute of Technology Department of Electrical and Computer Engineering Islamabad Pakistan Sir Syed CASE Institute of Technology Department of Sciences & Humanities Islamabad Pakistan

ISBN: (纸本)9798331516680

The research described the design and analysis of a bistable actuator for MEMS devices using a curved beam structure. The investigation revolves around the optimization of length, width, and apex height of the microstructure to deflect it to the actuated position. The mechanical behavior was validated using Finite Element Analysis using Ansys Multiphysics with a deviation of 1.94%. The result shows that the beam maintains its second stable state without continuous application of the force which significantly reduces the power consumption. © 2024 IEEE.

关键词： Curved beams and girders

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Secret Key Optimization for Secure Speech Communications

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computers, Materials & Continua 2022年第8期72卷 3025-3037页

作者： Osama S.Faragallah Mahmoud Farouk Hala S.El-Sayed Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt

This paper answers three essential questions for audio speech cryptosystems in time and discrete transform *** first question is,what are the best values of sub-keys that must be used to get the best quality and security for the audio cryptosystem in time and discrete transform *** second question is the relation between the number of sub-keys,the number of secret keys used,and the audio speech signal block’s ***,how many possible secret keys can be used to get the best quality and security results for the audio speech cryptosystem in time and discrete transform *** audio cryptosystem discussed before in recent research is applied to answer the three previous *** simulation results and analysis answer all three questions;first,there is no specific,well-defined format or rule for sub-key values that must be used to get a better *** the second question,yes,there is a direct relationship between the number of applicable keys,number of available sub-keys,and block size of speech audio signal and formulated into a first-order *** the third question,each discrete transform domain has a specific acceptable range of sub-keys that imply a particular number of keys that can be used to get a better cryptosystem.

关键词： Audio cryptosystem chaotic baker map secret key size

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Enhanced 5G Device-to-Device (D2D) Security in Spectrum Sharing System 32

Enhanced 5G Device-to-Device (D2D) Security in Spectrum Shar...

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32nd International Conference on Software, Telecommunications and computer Networks, SoftCOM 2024

作者： Alrjoob, Ayat M. Ababnah, Ahmad A. Al-Mistarihi, Mamoun F. Darabkh, Khalid A. German-Jordanian University School of Electrical Engineering and Information Technology Electrical and Communication Engineering Department Amman11180 Jordan Jordan University of Science and Technology Faculty of Engineering Electrical Engineering Department P.o. Box 3030 Irbid22110 Jordan The University of Jordan School of Engineering Computer Engineering Department Amman11942 Jordan

ISBN: (纸本)9789532901382

This paper presents a six-node system comprising two transmitter-receiver pairs, an eavesdropper, and a relay. It evaluates the security of the primary pair while the secondary uses jamming to protect against eavesdropping. We provide a closed-form formula for intercept probability and demonstrate improved security through theoretical analysis and simulations, emphasizing the system's importance for secure communication in urban emergency scenarios involving first responders. In urban networks, D2D communication is crucial, especially in emergencies involving first responders. Our system ensures secure communication between command centers and field units, highlighting its importance in urban emergency scenarios. © 2024 University of Split, FESB.

关键词： Risk perception

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Securing Primary Users in IoT 5G Cognitive Radio Networks 32

Securing Primary Users in IoT 5G Cognitive Radio Networks

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32nd International Conference on Software, Telecommunications and computer Networks, SoftCOM 2024

作者： Alrjoob, Ayat M. Ababnah, Ahmad A. Al-Mistarihi, Mamoun F. Darabkh, Khalid A. German-Jordanian University School of Electrical Engineering and Information Technology Electrical and Communication Engineering Department Amman11180 Jordan Jordan University of Science and Technology Faculty of Engineering Electrical Engineering Department P.o.Box 3030 Irbid22110 Jordan The University of Jordan School of Engineering Computer Engineering Department Amman11942 Jordan

ISBN: (纸本)9789532901382

The Internet of Things (IoT) has transformed device communication, necessitating reliable information security, especially physical layer security (PLS). Protecting data confidentiality in wireless transfers is critical in IoT environments. Cognitive Radio Networks (CRNs) optimize spectrum utilization, enhancing network efficiency. This study investigates PLS in CRNs, featuring a primary source-destination pair and a secondary user (SU) that performs cooperative jamming to secure the primary user's (PU) communication. The SU generates artificial interference, with transmit power determined by the primary network's interference tolerance. We develop mathematical formulas to assess outage probabilities, aiming to enhance security and efficiency in IoT and spectrum management. © 2024 University of Split, FESB.

关键词： Risk assessment

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AI-Driven Horticulture: Interactive Hyperspectral Data Visualization 9

AI-Driven Horticulture: Interactive Hyperspectral Data Visua...

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9th IEEE International Conference for Convergence in Technology, I2CT 2024

作者： Upreti, Shitiz Singh, Jagendra Singh, Navneet Pratap Patil, Sambhajiraje Tiwari, Mohit Elangovan, Muniyandy Ambala India Bennett University School of Computer Science Engineering & Technology Greater Noida India Dr. D. Y. Patil Vidyapeeth Centre For Online Learning Pune India Bharati Vidyapeeth's College of Engineering Computer Science And Engineering Delhi India Saveetha Institute of Medical And Technical Sciences Saveetha School of Engineering Department of Biosciences Chennai India

ISBN: (纸本)9798350394474

The integration of advanced artificial intelligence (AI) techniques into horticulture has opened new avenues for optimizing crop management and enhancing productivity. This study explores the application of K-means clustering and Generative Adversarial Networks (GANs) in horticultural practices, focusing on interactive hyperspectral data visualization. Through the evaluation of K-means clustering for plant health assessment, precision values ranging from 0.82 to 0.87 and recall values ranging from 0.77 to 0.84 were observed across 10 experimental trials, affirming the algorithm's efficacy in accurately classifying plant health status. Additionally, GANs were employed to generate synthetic hyperspectral data, yielding structural similarity index (SSI) scores ranging from 0.90 to 0.94 and root mean square error (RMSE) values ranging from 0.03 to 0.07, underscoring the high fidelity of synthetic data compared to real-world observations. These results highlight the potential of AI-enhanced horticulture to revolutionize decision-making processes and resource management strategies. By leveraging AI techniques for spectral analysis and data synthesis, horticulturists can gain actionable insights into plant health, nutrient levels, and environmental conditions, leading to improved crop yields and sustainable agricultural practices. © 2024 IEEE.

关键词： Horticulture

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