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Complex parameter mapping method of motor inductance considering mechanical stress and thermal expansion for quality operation 26

Complex parameter mapping method of motor inductance conside...

引用

26th international conference on Electrical Machines and Systems, ICEMS 2023

作者： Kang, Seung-Gu Park, Seah Seo, Chae Won Jung, Sang-Yong SungKyunKwan University Department of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9798350317589

This paper suggests complex parameter mapping method of motor inductance for quality operation. The proposed method considers the rotor deformation. The rotor deformations are analyzed in terms of mechanical stress, thermal expansion, and coupled conditions in sequence. And the effects of deformation are also described about air gap length and inductance variations. Then parameter mapping method including rotating speed and temperature are proposed, and the each map data and the differences are analyzed. Finally, the importance of considering rotor deformation for quality operation is verified. © 2023 IEEE.

关键词： Thermal expansion

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Design of miniaturized zoom optical system 4

Design of miniaturized zoom optical system

引用

4th international conference on Laser, Optics, and Optoelectronic technology, LOPET 2024

作者： Wu, You Huo, Wei Zhang, Guosheng Mu, Sen He, Tianyuan Huang, Xiaojing School of Control Engineering Northeastern University at Qinhuangdao 143 Taishan Road Qinhuangdao066004 China School of Economics and Finance Xi’an International Studies University No.6 Wenyuan South Road Guodu Education Technology Industry Development Zone Chang'an District Xi’an710000 China School of Control Management Northeastern University at Qinhuangdao 143 Taishan Road Qinhuangdao066004 China Sydney Institute of Intelligent Technology Northeastern University at Qinhuangdao 143 Taishan Road Qinhuangdao066004 China School of Computer and Communication Engineering Northeastern University at Qinhuangdao 143 Taishan Road Qinhuangdao066004 China

ISBN: (纸本)9781510681903

Zoom optical systems are versatile, serving applications from daily life, including photography, monitoring, and microscopy, to aerospace and national defense construction. With increasing applications, their performance standards are escalating. This paper introduces a 50mm-150mm three-configuration continuous zoom optical system. Employing a positive compensation structure, it achieves optical zoom in the visible band (390nm-760nm). Composed of six spherical glass lenses, it boasts a compact design with a total length of 40mm and a max aperture of 66mm, ensuring an F-number superior to 5 at long focal lengths. This system meets miniaturization demands while maintaining a high MTF (>0.32) across the entire field of view in the visible light band. The design fulfills high-performance criteria and offers valuable insights for the design of visible-band zoom optical systems with high magnification ratios and miniaturized footprints. © 2024 SPIE.

关键词： Optical systems

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The Industrial Internet Security Situation Assessment Method Based on AHP-CRITIC Hybrid Weighting 2

The Industrial Internet Security Situation Assessment Method...

引用

2nd international conference on Signal Processing and Intelligent Computing, SPIC 2024

作者： Yang, Ling Xu, Shuheng Hou, Lixin Tao, Yaodong Shenyang LiGong University School of Information Science and Engineering Shenyang China Beijing DualPi Intelligent Security Technology Shenyang China Jilin Agricultural University College of Information and Technology Changchun China Beijing Jiaotong University School of Computer and Information Technology Beijing China

ISBN: (纸本)9798350368888

The assessment index system for industrial Internet network security relies too heavily on expert knowledge and overlooks the impact of objective factors on situation assessment. This paper addresses this issue by focusing on the characteristics of industrial networks, specifically the impact of asset vulnerabilities and alarm events on network situation. A comprehensive weighted hierarchical industrial Internet situation assessment method is proposed. The final comprehensive weight is obtained using the least square method, combined with the supervisor weight calculated by the analytic hierarchy process and the objective weight calculated by the CRITIC method. Finally, a network security experiment center is used to carry out situation assessment, and the evaluation value is calculated. Experimental results demonstrate that this method provides a more objective and accurate approach to situation assessment. © 2024 IEEE.

关键词： Analytic hierarchy process

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Predicting China's Marriage Rate using Machine Learning Models and Cross-Validation Evaluation 16

Predicting China's Marriage Rate using Machine Learning Mode...

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16th international conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024

作者： Zhang, Deyu Theeramunkong, Thanaruk Khamsemanan, Nirattaya Yunnan College of Foreign Affairs and Foreign Language Kunming China Thammasat University Sirindhorn International Institute of Technology Thailand

ISBN: (纸本)9798331506896

After China's accession to the WTO, the country has experienced rapid development over the past 20 years, but the marriage rate has been declining. This study aims to analyze marriage data using machine learning, identify the factors influencing the marriage rate, and make predictions. The data covers seven variables including GDP, housing prices, fertility rate, and education level in 31 regions of China from 2003 to 2022. The study employed five machine learning algorithms with five models: Ridge, Lasso, Elastic Net, Polynomial, and Weighted Least Squares, along with three types of Cross-Validation techniques - Holdout, LOOCV, and K-Fold. By comparing the five regression models and evaluating the marriage rate models through Holdout, LOOCV, and K-Fold Cross-Validation, the results show that the Polynomial regression exhibits higher predictive accuracy, with MSE of 3.473 for Holdout, 3.001 for LOOCV, and 3.018 for K-Fold. Following closely is Ridge regression with MSE of 3.565 for Holdout, 3.326 for LOOCV, and 3.334 for K-Fold. These two models outperform the less performing Lasso and Elastic Net regressions. Weighted Least Squares show stable but slightly inferior performance. By comparing the predicted values for 2022 with the actual values, it is confirmed that Polynomial and Ridge regression closely align with the actual values, predicting the trend of changes in real and predicted values for each province, highlighting their effectiveness in predictive tasks involving complex data patterns. © 2024 IEEE.

关键词： Adversarial machine learning

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development of a Grid-Connected Microinverter Based on the Integration of the CUK Converter with a Switchgear Structure 2

Development of a Grid-Connected Microinverter Based on the I...

引用

2nd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Subhamathi, A.S.F. Anuradha, T. Suganya, A.V. Shanthi, K. Umamaheswari, P. Jose Anand, A. Department of Electrical and Electronics Engineering Karpagam Academy of Higher Education Tamilnadu Coimbatore641021 Department of Electrical and Electronics Engineering KCG College of Technology Tamil Nadu Chennai600097 India Department of Electrical and Electronics Engineering Sri Muthukumaran Institute of Technology Kanchipuram Chennai600069 Department of Computer Science and Business Systems Veltechmultech Dr Rangarajan Dr Sakunthala Engineering College Tamil Nadu Chennai600062 India Department of Electronics and Communication Engineering KCG College of Technology Karapakkam Chennai600 097

ISBN: (纸本)9798350327533

The main focus of this research work is on designing the dimensions of the proposed DC-DC and DC-AC converters. Since it is an unprecedented DC-DC converter, it is important to enable the DC-DC converter to enable simulations in PSIM software. In addition, the size of the proposed DC-AC converter was provided for the purpose of making simulations and specifying the actual components for implementing the 180 W prototype, with the current flowing into the phase. In addition, simulation results are obtained, which show that it is possible to find the maximum power point of the PV module by implementing the MPPT algorithm without having to measure the current of the PV module. © 2024 IEEE.

关键词： Cuk converter

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A Recap into the Application of Natural Language Processing for Identification of Cognitive Impairment in Patients 1

A Recap into the Application of Natural Language Processing ...

引用

1st international conference on AIML-Applications for Engineering and technology, ICAET 2025

作者： Ghorpade-Aher, Jayshree Desai, Urvi MIT World Peace University Department of Computer Engineering and Technology Pune India

ISBN: (纸本)9798350355611

Diseases and disorders causing cognitive decline reduce the quality of life of their victims drastically by hindering them from performing basic everyday tasks normally. The earlier a patient can be diagnosed and begin treatment, the better the prognosis tends to be and the application of technology in diagnostics has sped up the process considerably. Artificial Intelligence, Machine Learning and now Deep Learning are being used to aid doctors and diagnosticians in the swifter, more streamlined diagnosis of their patients. It has been observed that changes in the speech patterns of patients show up as a symptom early in the process of their declining cognition. This makes Natural Language Processing(NLP) a powerful tool to execute the early detection of psychological and neurological impairments using safer, less expensive means. Several approaches being applied to further this research include lexico-syntactic and acoustic analysis as well as tools like BERT transformer and LASSO Regression. Classification is attempted using Machine Learning models like Random Forest, Gradient Boosting or Support Vector Machine as well as neural networks. This studies the merits, demerits and novelties of some such studies and expands on the technology used therein. Still in the nascent stages of development, the application of NLP to diagnose and categorize cognitive decline face many hurdles such as limited access to data-sets, lack of explainability leading to low usability in real world scenarios and lower accuracy than is achieved by Machine Learning and Deep Learning. However, what little research does exist points to a promising future where cheaper, earlier and non-invasive diagnosis would be a reality for patients of cognitive decline. © 2025 IEEE.

关键词： Deep learning

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Blockchain-Enabled Integration and Coordination for Decentralized E-Health Systems 3

Blockchain-Enabled Integration and Coordination for Decentra...

引用

3rd international conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Kumar, Vishesh Sachdeva, Shelly Pawar, Vijayant National Institute of Technology Delhi Delhi India Bennett University School of Computer Science Engineering and Technology Greater Noida India

ISBN: (纸本)9798350369083

Electronic healthcare systems (EHS) have gained popularity in recent years due to technological growth and development in the healthcare sector. With advanced technologies in healthcare, there are several challenges in securing and maintaining patient data privacy. The challenges are the outcome of uncoordinated, repeated, and frequently duplicated information among several separate e-health service providers and private data that is kept insecure in centralized systems, causing the lack of data availability and secure data sharing. A promising technology called blockchain has emerged that can be used to protect data privacy and secure access while offering a decentralized management framework for massively distributed data. A unified solution for migrating conventional e-health systems from different independent ecosystems and integrating them with a single ecosystem based on blockchain is proposed. We focused on the challenges related to data availability and data storage using the Interplanetary File System (IPFS) for decentralized data storage and its coordination with blockchain for maintaining data integrity. The proposed solution focuses on the secure storage of patient data, controlled trackable sharing of sensitive data, and a solution for smooth migration from conventional healthcare to blockchain-based healthcare. © 2024 IEEE.

关键词： Electronic health record

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Enhancing Security and Privacy Implications in 5G Network Slicing 4

Enhancing Security and Privacy Implications in 5G Network Sl...

引用

4th international conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Sukumar, Aadith Singh, Aniket Gupta, Apoorv Singh, Mangal Symbiosis Institute of Technology Pune412115 India

ISBN: (纸本)9798350343670

5G network slicing has emerged as a transformative technology, enabling the creation of customized virtual networks tailored to diverse service requirements. This paper delves into the theoretical underpinnings of 5G network slicing, exploring cutting-edge solutions, recent innovations, and future trajectories. The paper highlights the significance of efficient resource management and orchestration. Addressing the challenges posed by the multi-tenant environment, the study proposes advanced encryption techniques, access controls, and segmentation methods while delves into the critical security and privacy dimensions of 5G network slicing. Through a meticulous analysis of vulnerabilities and the development of comprehensive strategies, this research strengthens the security and privacy framework within 5G network slices. The paper concludes by emphasizing the importance of a solid theoretical foundation for designing and deploying network slices that meet specific service requirements and performance objectives. © 2024 IEEE.

关键词： 5G Network computer Network Information Security Mobile Communications Network Slicing Security and Privacy

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Content Filtering Based Navigation Recommendation System Using NLP 9

Content Filtering Based Navigation Recommendation System Usi...

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9th international conference on Science, technology, Engineering and Mathematics, ICONSTEM 2024

作者： Roobini, M.S. David, Snowlin Paz Lokeshwaran, S. Vinothini, E. Aishwarya, D. Sathyabama Institute of Science And Technology Department of Computer Science And Engineering Chennai600119 India

ISBN: (纸本)9798350365092

The surge in tourism information necessitates intelligent systems for efficient decision-making during trip planning. This paper introduces a Context-Aware Navigation Recommen- dation System (CANRS) using Natural Language Processing (NLP) and content filtering. The focus is on improving relevance and personalization by extracting insights from textual data. The framework integrates collaborative filtering, Content-Based Filtering, and NLP, analyzing textual data from social media, reviews, and descriptions for nuanced user preferences. The system utilizes TF-IDF, sentiment analysis, and semantic analysis for precise feature extraction, facilitating personalized travel itineraries. The paper introduces an optimization algorithm refining content filtering, considering location, user history, and real-time events for dynamic recommendation scores. Through experiments, the CANRS demonstrates accuracy and contextually relevant navigation recommendations, adapting to changing user preferences and dynamic contexts. This research leverages NLP to enhance content filtering, providing personalized and contextually aware recommendations. Implications include the development of advanced navigation systems prioritizing user preferences and dynamic contextual information in tourism. © 2024 IEEE.

关键词： Decision making

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development of highly sensitive and stable electrochemical sensor for H2O2detection by facile synthesized copper nanoparticle thin film 5

Development of highly sensitive and stable electrochemical s...

引用

5th IEEE international conference on Electrical, computer and Communication Technologies, ICECCT 2023

作者： Nagarajan, Navashree Panchatcharam, Parthasarathy CMR Institute of Technology Department of Electronics and Communication Engineering Bengaluru560037 India

ISBN: (纸本)9781665493604

Copper nanoparticles are used in several areas related to nanotechnology, including biomedicine, pharmaceuticals, bioremediation, molecular biology, bioengineering, genetic engineering, colour degradation, catalysis, cosmetics, and textiles. The structural features and biological impacts of copper nanoparticles show promise in the realm of life sciences, particularly in the development of biosensors. In this study, copper nanoparticles (Cu NPs) were synthesized, characterized, and used to modify glassy electrodes for the electrochemical analysis of hydrogen peroxide. The copper nanoparticles were prepared using a chemical reduction process and analyzed using SEM, XRD, TEM, and AFM. Using the spin coating process, the synthesized nanoparticles were used to create a thin film electrode. The CV Studies (CV Curve, Current VS Hydrogen peroxide) demonstrate that the Cu NP electrode is effective for the selective determination of hydrogen peroxide even in the presence of ascorbic and uric acid. The observed linear range of Cu NP for hydrogen peroxide was 0.5M to 2.5M, with a detection limit of 3.94M. It was established that newly developed thin film copper nanoparticles are suitable for non-enzymatic hydrogen peroxide measurement. As a result, it has the potential to be used for detection in real-life samples such as human blood serum. © 2023 IEEE.

关键词： Hydrogen peroxide

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