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Improved Power Transfer Efficiency Using a Dual Transmitter Receiver Design With Integrated Decoupling Coils for IPT EV Charging

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IEEE Access 2025年 13卷 91362-91373页

作者： Bilal Alam Saad Mekhilef Marizan Mubin Kok Soon Tey Addy Wahyudie Department of Electrical Engineering Power Electronics and Renewable Energy Research Laboratory University of Malaya Kuala Lumpur Malaysia School of Engineering Swinburne University of Technology Melbourne VIC Australia Department of Computer System and Technology Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia Department of Electrical and Communication Engineering United Arab Emirates University (UAE-U) Al Ain United Arab Emirates

In high-power inductive power transfer (IPT) systems, multiple coils are used to enhance efficiency, but interactions between coils on the same side can reduce overall performance. Traditionally, decoupling coils are added to minimize these interactions, however they don’t contribute to power transfer and may even hinder system efficiency. This article introduces a new IPT system and coil structure that integrates decoupling coils, which not only improve mutual interaction between same-side coils but also actively contribute to power transfer. The coils are optimized for high mutual inductance, strong coupling coefficient, reduced self-inductance, and minimized side-by-side mutual inductance, performing well even with X-axis, Y-axis, and angular misalignments. Using 3-D Finite Element Analysis (ANSYS-Maxwell), the magnetic coupler’s performance is thoroughly evaluated, and a downsized experimental setup demonstrates the system’s feasibility. The proposed system achieves a maximum dc-dc efficiency of 94.27%, successfully delivering 1 kW across a 120-mm air gap with zero-voltage switching, presenting a significant advancement for multi-transmitter and multi-receiver systems.

关键词： Coils Receivers Transmitters Mathematical models Couplings Inductance Costs Voltage Rectifiers Integrated circuit modeling

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New cascade-correlation growing deep learning neural network algorithm

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Algorithms 2021年第5期14卷

作者： Mohamed, Soha Abd El-Moamen Mohamed, Marghany Hassan Farghally, Mohammed F. Information System Department Faculty of Computer and Information Assiut University Assiut71515 Egypt Computer Science Department Faculty of Computer and Information Assiut University Assiut71515 Egypt

In this paper, a proposed algorithm that dynamically changes the neural network structure is presented. The structure is changed based on some features in the cascade correlation algorithm. Cascade correlation is an important algorithm that is used to solve the actual problem by artificial neural networks as a new architecture and supervised learning algorithm. This process optimizes the architectures of the network which intends to accelerate the learning process and produce better performance in generalization. Many researchers have to date proposed several growing algorithms to optimize the feedforward neural network architectures. The proposed algorithm has been tested on various medical data sets. The results prove that the proposed algorithm is a better method to evaluate the accuracy and flexibility resulting from it. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

关键词： Learning algorithms

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Design of novel microstrip patch antenna for millimeter-wave B5G communications

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Frontiers in Materials 2024年 11卷

作者： Tiang, Jun Jiat Alsekait, Deema Mohammed Khan, Imran Wang, Pi-Chung Madsen, Dag Øivind Faculty of Engineering Centre for Wireless Technology Multimedia University Cyberjaya Malaysia Department of Computer Science and Information Technology Applied College of Computer and Information Science Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia Department of Electrical Engineering University of Engineering and Technology Peshawar Pakistan Islamic University Centre for Scientific Research The Islamic University Najaf Iraq Department of Computer Science and Engineering National Chung Hsing University Taichung Taiwan University of South-Eastern Norway Hønefoss Norway

Introduction: The simplicity of integration and co-type features of microstrip antennas make them intriguing for a broad variety of applications, particularly with the growing usage of mmWave bands in wireless communications and the constant rise in data transfer in communication situations. Method: This paper proposes a novel design of micrstrip patch antenna for mmWave B5G communication. The main idea is to realize four-mode antenna the operates in four different frequencies. The geometry is rectangular patch whose resonance frequency is adjusted by varying the walls and pins of the structure. Results: Simulation results show that the proposed antenna design has improved fractional bandwidth and performance as compared with existing antennas. Discussion: The observed curve indicates that, in agreement with the modeling findings, there are four resonance spots in the operational frequency region of 2.5–3.4 GHz: 2.68 GHz, 2.9 GHz, 3.05 GHz, and 3.3 GHz, which correspond to TM1/2,0, TM3/2,0, and TMRS, respectively, and TM1/2,2 four resonant modes, within the frequency range, the observed antenna gain peak is around 9 dBi, which is consistent with the measured results. Copyright © 2024 Tiang, Alsekait, Khan, Wang and Madsen.

关键词： Microstrip antennas

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New Exact Traveling Wave Solutions to the Kawahara Equation using the tanh (ξ) Expansion Method

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International Journal of Applied and Computational Mathematics 2023年第5期9卷 1-9页

作者： Gasmi, Boubekeur Moussa, Alaaeddin Amin Mati, Yazid Alhakim, Lama Abdulaziz Akgül, Ali Higher School of Management and Digital Economy Tipaza Kolea Algeria Department of Management Information System and Production Management College of Business & Economics Qassim University P.O. BOX 6666 Buraidah 51452 Saudi Arabia Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Art and Science Faculty Department of Mathematics Siirt University Siirt 56100 Turkey Mathematics Research Center Department of Mathematics Near East University Near East Boulevard Nicosia Mersin 10 99138 Turkey

Existing approaches to solving the Kawahara equation rely on nonlinear terms with positive powers in auxiliary ordinary differential equations, limiting the number of possible solutions. This paper proposes a tanh (ξ) expansion method that uses a novel form that accounts for nonlinear terms with both positive and negative powers of tanh (ξ) to discover six families of exact traveling wave solutions;four of these families are novel, while the other two correspond to solutions previously discovered in the literature. Some solutions with various coefficient values corresponding to the six discovered family solutions are plotted to show how they behave. © 2023, The Author(s), under exclusive licence to Springer Nature India Private Limited.

关键词： Exact traveling wave solution Kawahara equation tanh (ξ)expansion method

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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps

arXiv

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arXiv 2024年

作者： Manan, Malik Abdul Jinchao, Feng Yaqub, Muhammad Ahmed, Shahzad Imran, Syed Muhammad Ali Chuhan, Imran Shabir Khan, Haroon Ahmed Beijing Key Laboratory of Computational Intelligence and Intelligent System Faculty of Information Technology Beijing University of Technology Beijing100124 China Department of computer science and information technology Superior University Lahore Pakistan Interdisciplinary Research Institute Faculty of Science Beijing University of Technology Beijing China Islamabad Pakistan

Colorectal polyps are structural abnormalities of the gastrointestinal tract that can potentially become cancerous in some cases. The study introduces a novel framework for colorectal polyp segmentation named the Multi-Scale and Multi-Path Cascaded Convolution Network (MMCC-Net), aimed at addressing the limitations of existing models, such as inadequate spatial dependence representation and the absence of multi-level feature integration during the decoding stage by integrating multi-scale and multi-path cascaded convolutional techniques and enhances feature aggregation through dual attention modules, skip connections, and a feature enhancer. MMCC-Net achieves superior performance in identifying polyp areas at the pixel level. The Proposed MMCC-Net was tested across six public datasets and compared against eight SOTA models to demonstrate its efficiency in polyp segmentation. The MMCC-Net's performance shows Dice scores with confidence interval ranging between 77.43 ± 0.12, (77.08, 77.56) and 94.45 ± 0.12, (94.19, 94.71) and Mean Intersection over Union (MIoU) scores with confidence interval ranging from 72.71 ± 0.19, (72.20, 73.00) to 90.16 ± 0.16, (89.69, 90.53) on the six databases. These results highlight the model's potential as a powerful tool for accurate and efficient polyp segmentation, contributing to early detection and prevention strategies in colorectal cancer. © 2024, CC BY.

关键词： Semantic Segmentation

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Heuristic evaluation and analytical network process for analyzing the role of websites in higher education 10

Heuristic evaluation and analytical network process for anal...

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10th International Seminar on New Paradigm and Innovation of Natural sciences and itsApplication, ISNPINSA 2020

作者： Yani, F. Nurhayati, O.D. Widodo, A.P. Department of Information System Post Graduated School Diponegoro University Indonesia Department of Computer Engineering Faculty of Engineering Diponegoro University Indonesia Department of Physics Faculty of Science and Mathematics Diponegoro University Indonesia

It is currently thought that university websites play important roles in maintaining communication with stakeholders. The evidence shows that the usability aspect of the website positively correlates with governance support. This paper presents a new approach to identify, assess and evaluate usability aspect base on ten Heuristic Evaluation principles by implementing the ANP method. This method works by determining the weight of the best site criteria according to Webometric version ranking. The initial questionnaire was tested for validity and reliability using total item correlation analysis, the r-value was obtained in the range 0.706-0.919 (valid) and the reliability value in the range 0.861-0.939 (reliable). It was also found that by implementing expert judgment tests, some questionnaires are required more editorial adjustment. Interestingly, the layout of the websites hit the usability criteria. Another ten HE aspects run well while some light improvements were required for error prevention, recognition rather than recall, help users recognize, diagnose, and recover from errors aspects. The most remarkable result to emerge from the data was that visibility of system status, match between system and the real world, and consistency standards shown good result. © Published under licence by IOP Publishing Ltd.

关键词： Heuristic methods

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Strengthening IT Governance in the Crypto Marketplace: Leveraging Penetration Testing and Standards Alignment

Strengthening IT Governance in the Crypto Marketplace: Lever...

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International Conference on Informatics, multimedia, Cyber and information system (ICIMCIS)

作者： Semi Yulianto Erly Krisnanik Muhammad Syarif Hartawan Computer Science Department Binus Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia Information System Department University of Pembangunan Nasional Veteran Jakarta Indonesia Faculty of Technology University of Krisnadwipayana Jakarta Indonesia ICT Department Asia e University Malaysia

This research explores the vital role of penetration testing in cybersecurity, specifically its alignment with ISO 27001:2022, COBIT 2019, and NIST CSF standards in the context of crypto asset exchange management. These sectors grapple with rapidly evolving threat landscapes, necessitating robust cybersecurity strategies. However, the integration of penetration testing with these standards remains underexamined. Through a comprehensive approach, including literature reviews, surveys, case studies, and interviews, this study investigates the incorporation of penetration testing into an organization's cybersecurity. It unveils the current state of penetration testing practices, interprets ISO 27001:2022, COBIT 2019, and NIST CSF perspectives, and pinpoints integration challenges and opportunities. This study offers practical insights and best practices for integrating penetration testing into cybersecurity frameworks by emphasizing alignment. It underscores the importance of aligning penetration testing with information security standards in the crypto asset exchange management sector, enhancing security, proactively identifying vulnerabilities, and effectively mitigating risks in the context of growing crypto asset importance. This research provides invaluable guidance for safeguarding digital assets in this evolving domain.

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Decision support system for handling intervention on toddlers stunting cases in Indonesia using the certainty factor method 10

Decision support system for handling intervention on toddler...

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10th International Seminar on New Paradigm and Innovation of Natural sciences and itsApplication, ISNPINSA 2020

作者： Sutoyo, I.W. Widodo, A.P. Rochim, A.F. Department of Information System Post Graduated School Diponegoro University Indonesia Department of Physics Faculty of Science and Mathematics Diponegoro University Indonesia Department of Computer Engineering Faculty Engineering Diponegoro University Indonesia

Stunting is a condition of failure to thrive in children under five caused by lack of nutritional intake for a long time and the occurrence of repeated infections. The causative factor is influenced by inadequate parenting, especially in the first 1,000 days of life. This study applies a decision support system with an expert system as an intervention for handling stunting by providing solutions using the Certainty Factor method. This expert system is implemented using the PHP programming language, and the use of expert systems will be easier when implemented into web-based applications. The test results are acceleration in reducing the number of stunting cases, thus providing the right percentage and solution in handling and increasing supervision of government efforts to combat stunting. Stunting intervention research can see the results of the percentage value of sensitive and specific interventions for pregnant women, nursing mothers, and adolescent girls. Testing uses black-box validation and accuracy. The validation results are in the form of 100%, which shows the system functionality can run well and according to the list of requirements. The accuracy result is 83% which shows that the expert system can function quite well according to the Certainty Factor method. © Published under licence by IOP Publishing Ltd.

关键词： Decision support systems

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A Survey of Lung Nodules Detection and Classification from CT Scan Images

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computer systems science & Engineering 2024年第6期48卷 1483-1511页

作者： Salman Ahmed Fazli Subhan Mazliham Mohd Su’ud Muhammad Mansoor Alam Adil Waheed Faculty of Computing and Technology IQRA UniversityIslamabad44000Pakistan Faculty of Engineering and Computer Science National University of Modern LanguagesIslamabad44000Pakistan Faculty of Computing and Informatics Multimedia UniversityCyberjaya63100Malaysia Faculty of Computing Riphah International UniversityIslamabad44000Pakistan Department of Information Sciences Division of Sciences and TechnologyUniversity of EducationLahore54770Pakistan

In the contemporary era,the death rate is increasing due to lung ***,technology is continuously enhancing the quality of *** improve the survival rate,radiologists rely on Computed Tomography(CT)scans for early detection and diagnosis of lung *** paper presented a detailed,systematic review of several identification and categorization techniques for lung *** analysis of the report explored the challenges,advancements,and future opinions in computer-aided diagnosis CAD systems for detecting and classifying lung nodules employing the deep learning(DL)*** findings also highlighted the usefulness of DL networks,especially convolutional neural networks(CNNs)in elevating sensitivity,accuracy,and specificity as well as overcoming false positives in the initial stages of lung cancer *** paper further presented the integral nodule classification stage,which stressed the importance of differentiating between benign and malignant nodules for initial cancer ***,the findings presented a comprehensive analysis of multiple techniques and studies for nodule classification,highlighting the evolution of methodologies from conventional machine learning(ML)classifiers to transfer learning and integrated ***,while accepting the strides formed by CAD systems,the review addressed persistent challenges.

关键词： Lung nodules computed tomography scans lung cancer deep learning

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Memetic Optimization with Cryptographic Encryption for Secure Medical Data Transmission in IoT-Based Distributed systems

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computers, Materials & Continua 2021年第2期66卷 1577-1594页

作者： Srinath Doss Jothi Paranthaman Suseendran Gopalakrishnan Akila Duraisamy Souvik Pal Balaganesh Duraisamy Chung Le Van Dac-Nhuong Le Faculty of Computing Botho UniversityGaboroneBotswana Department of Computer Science Gaborone University College of Law and Professional StudiesGaboroneBotswana Vels Institute of Science Technology&Advanced StudiesChennai600117India Global Institute of Management and Technology West Bengal741102India Faculty of Computer Science and Multimedia Lincoln University CollegeKelantan15050Malaysia Center for Visualization&Simulation Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Haiphong UniversityHaiphong180000Vietnam

In the healthcare system,the Internet of Things(IoT)based distributed systems play a vital role in transferring the medical-related documents and information among the organizations to reduce the replication in medical *** datum is sensitive,and hence security is a must in transforming the sensational *** this paper,an Evolutionary Algorithm,namely the Memetic Algorithm is used for encrypting the text *** encrypted information is then inserted into the medical images using Discrete Wavelet Transform 1 level and 2 *** reverse method of the Memetic Algorithm is implemented when extracting a hidden message from the encoded *** show its precision,equivalent to five RGB images and five Grayscale images are used to test the proposed *** results of the proposed algorithm were analyzed using statistical methods,and the proposed algorithm showed the importance of data transfer in healthcare systems in a stable *** the future,to embed the privacy-preserving of medical data,it can be extended with blockchain technology.

关键词： Internet of Things medical images cryptography memetic algorithm steganography

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