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4th IEEE International Conference on Electrical Materials and Power Equipment, ICEMPE 2023

作者： Zhang, Mingze Lei, Shengjie Liang, Yilin Liu, Heqian Shi, Yunbo Liu, Ji Hrbust Harbin University of Science and Technology Key Laboratory of Engineering Dielectrics and Its Application Ministry of Education Hrbust School of Measurement and Communication Engineering Harbin China Harbin University of Science and Technology Key Laboratory of Engineering Dielectrics and Its Application Ministry of Education Harbin China Electric Power Research Institute State Grid Heilongjiang Electric Power Company Limited Harbin Harbin China Harbin University of Science and Technology School of Measurement and Communication Engineering Harbin China

ISBN: (纸本)9798350334678

The PDC test is an important means to evaluate the main insulation status of the transformer. When the traditional PDC test current is used to analyze the aging state, it is found that there is an obvious asymmetry between polarization and depolarization current, which will affect the accuracy of the evaluation results. Therefore, this paper has carried out research on the asymmetric PDC variation law of oil-paper insulation. Several groups of oil-paper insulation models with different degrees of aging were prepared in the laboratory environment. Under the polarization voltage, the change law of the transient electric field distribution in the aging model was calculated. According to the traditional interface polarization theory, the influence of insulation aging on the traditional interface polarization behavior is analyzed. Finally, this paper uses the collapsible charge model to explain the causes of PDC current asymmetry. Finally, the quantitative characterization relationship between the amount of decomposing charge and the aging of oil-paper insulation was established. The research results of this paper provide theoretical support for improving the accuracy of insulation state assessment of oil-immersed power equipment based on the PDC testing method. © 2023 IEEE.

关键词： Oil filled transformers

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Leveraging Machine Learning Algorithms to Optimize Diet Maintenance Based on User Food Intake and Fitness Data 5

Leveraging Machine Learning Algorithms to Optimize Diet Main...

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5th International Conference on Sustainable communication Networks and Application, ICSCNA 2024

作者： Clarinda, K. Deepa, N. Dhamotharan, R. Krishnan, R. Santhana Raj, J. Relin Fransis Anchitaalagammai, J.V. SCAD College of Engineering and Technology Department of Management Studies Cheranmahadevi India PSNA College of Engineering and Technology Department of Artificial Intelligence and Data Science Dindigul India Kalasalingam Academy of Research and Education Department of Computer Science and Information Technology Krishnankoil India SCAD College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Chennai India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9798331530013

The increasing prevalence of lifestyle-related health issues has necessitated the development of innovative approaches to diet management. This research introduces the Adaptive Eating Pattern Predictor (AEPP), a novel machine learning algorithm designed to optimize diet maintenance by analyzing user food intake and fitness data. The AEPP combines the predictive capabilities of Artificial Neural Networks (ANN) with the probabilistic modeling of Markov Chains, enabling accurate forecasting of future eating patterns based on historical dietary and activity data. A comprehensive simulation analysis was conducted to evaluate the performance of the AEPP against existing algorithms, including traditional recommendation systems and basic machine learning models. Various simulation metrics, such as accuracy, precision, recall, and F1 score, were employed to compare the effectiveness of the AEPP in providing personalized dietary recommendations. The results demonstrate that the AEPP significantly outperforms existing algorithms, highlighting its potential as a valuable tool for individuals seeking to maintain a balanced diet in alignment with their fitness goals. This study contributes to the field of nutritional science by showcasing the advantages of integrating advanced machine learning techniques in personal diet management. © 2024 IEEE.

关键词： Adversarial machine learning

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An Efficient Authenticated Elliptic Curve Cryptography Scheme for Multicore Wireless Sensor Networks

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IEEE Access 2023年 11卷 1306-1323页

作者： Oladipupo, Esau Taiwo Abikoye, Oluwakemi Christiana Imoize, Agbotiname Lucky Awotunde, Joseph Bamidele Chang, Ting-Yi Lee, Cheng-Chi Do, Dinh-Thuan The Federal Polytechnic Bida Department of Computer Science Bida912211 Nigeria University of Ilorin Faculty of Information and Communication Sciences Department of Computer Science Ilorin240003 Nigeria University of Lagos Faculty of Engineering Department of Electrical and Electronics Engineering Akoka Lagos100213 Nigeria Institute of Digital Communication Ruhr University Department of Electrical Engineering and Information Technology Bochum44801 Germany National Changhua University of Education Department of Industrial Education and Technology Changhua City500 Taiwan Fu Jen Catholic University Research and Development Center for Physical Education Health and Information Technology Department of Library and Information Science New Taipei City24205 Taiwan Asia University Department of Computer Science and Information Engineering Taichung City41354 Taiwan University of Mount Union School of Engineering AllianceOH44601 United States

The need to ensure the longevity of Wireless Sensor Networks (WSNs) and secure their communication has spurred various researchers to come up with various WSN models. Prime among the methods for extending the life span of WSNs is the clustering of Wireless Sensors (WS), which reduces the workload of WS and thereby reduces its power consumption. However, a drastic reduction in the power consumption of the sensors when multicore sensors are used in combination with sensors clustering has not been well explored. Therefore, this work proposes a WSN model that employs clustering of multicore WS. The existing Elliptic Curve Cryptographic (ECC) algorithm is optimized for parallel execution of the encryption/decryption processes and security against primitive attacks. The Elliptic Curve Diffie-Helman (ECDH) was used for the key exchange algorithm, and the Elliptic Curve Digital Signature Algorithm (ECDSA) was used to authenticate the communicating nodes. Security analysis of the model and comparative performance analysis with the existing ones were demonstrated. The security analysis results reveal that the proposed model meets the security requirements and resists various security attacks. Additionally, the projected model is scalable, energy-conservative, and supports data freshness. The results of comparative performance analysis show that the proposed WSN model can efficiently leverage multiprocessors and/or many cores for quicker execution and conserves power usage. © 2013 IEEE.

关键词： Electric power utilization

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Interconnected Through Robotic System in English Foreign Language education 5th

Interconnected Through Robotic System in English Foreign Lan...

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5th International Conference on Advances in Information communication technology and Computing, AICTC 2024

作者： Muthmainnah, M. de Barros Cardoso, Luís Miguel Oliveira Kaur, Dalwinder Burhamzah, Muftihaturrahmah Aeni, Nur Al Yakin, Ahmad Sharma, Aditi Teacher Training and Education Faculty Indonesian Language Study Program Universitas Al Asyariah Mandar Polewali Mandar Indonesia Portugal Department of Languages and Communication Sciences Polytechnic Institute of Portalegre Portalegre Portugal Manipal Globalnxt University Kuala Lumpur Malaysia English Study Program Universitas Negeri Makassar Makassar Indonesia Teacher Training and Education Faculty Civic Education Study Program Universitas Al Asyariah Mandar Polewali Mandar Indonesia Department of Computer Science and Engineering Symbiosis Institute of Technology Symbiosis International [Deemed University Pune India

ISBN: (纸本)9789819761050

Robots have become increasingly important in a variety of life domains as a result of the rapid advancement of technology. Additionally, robots are employed in education as teaching assistants in science, art, and language courses. This research aims to explore the potential of robotic systems as a multipurpose tool for increasing cultural awareness, language proficiency, and communicative competence in the GenAI era. Language games, conversation simulations, and real-time feedback mechanisms are just a few examples of interactive scenarios enabled by virtual robot systems or tutor robots that enable immersive language experiences that go beyond the limitations of conventional schooling. This research contributes knowledge that explores how AI can be used to personalize language teaching according to the needs and learning styles of each student in higher education. The total population of undergraduate students involved in this research was 350 for the 2023 academic year, with 24 students selected purposefully based on sample characteristics from this group who were exposed to using AI for one semester. The research method used is a mix method with quantitative analysis of the results of surveys and interviews with students who are known to have given positive responses and proposes a comprehensive strategy for using AI robot technology in EFL classrooms, which can significantly improve effective learning outcomes. The survey results also show that if educators have a solid understanding of the relationship between linguistic acquisition and technological advances, they will be better prepared to design engaging, individualized lessons that prepare their students to use the language effectively in real-world contexts. The robot-assisted language learning (RALL) approach used in this study, with the integration of robots in the classroom, has the potential to change the way people learn languages to make it more interesting, fun, and motivating, increase engagement

关键词： Students

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Influence of Eu3+ dopant on the third order nonlinear optical properties of PbO/PMMA nanocomposites

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Materials research Innovations 2023年第6期27卷 433-440页

作者： Suresh, B. Dineshbabu, N. Shanmugam, G. Dash, Chandra Sekhar Sundararajan, M. Ramachandran, S. Krishnagiri India Department of Physics Science & Humanities Faculty of Engineering Karpagam Academy of Higher Education Coimbatore India Department of Physics Narayana Engineering College Gudur India Department of Electronics and Communication Engineering Centurion University of Technology and Management Bhubaneswar India PG and Research Department of Physics Paavendhar College of Arts & Science Thalaivasal Salem India

PbO/PMMA, 3 and 6 mol% (Formula presented.) ion-doped PbO/PMMA nanocomposites were synthesised using an easy chemical precipitation method. For all of the nanocomposites, the XRD pattern confirms the orthorhombic structure of PbO. The morphology of PbO nanoparticles in PMMA is revealed by the SEM graph. The formation of nanocomposites containing Eu3+ doped PbO nanoparticles in PMMA is confirmed by FTIR. When Eu3+ doped PbO nanoparticles in PMMA are compared to bulk PbO, UV–Vis optical absorption findings demonstrate a blue shift on the absorption band. The optical band gap energy decreases with increasing Eu3+ dopant concentration and is related to red-shifted phenomena. The PL spectra reveal an emission peak associated with blue emission caused by a synthesis defect. For 6 mol% Eu3+ ion doped PbO/PMMA nanocomposites, third-order nonlinear optical parameters such as nonlinear optical susceptibility (χ(3)), nonlinear optical refractive index (n2), and nonlinear optical absorption coefficient (β) are determined by Z-scan technique, and the values are found to be 4.468 × 10−6 esu, 1.257 × 10−7cm2/W, and 9.837 × 10−3 cm/W, respectively. The strong nonlinearity in the current Eu3+ ion-doped PbO/PMMA nanocomposites empowers its promising applications in third-order nonlinear optical devices. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Nanocomposites

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Cephalopods Classification Using Fine Tuned Lightweight Transfer Learning Models

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Intelligent Automation & Soft Computing 2023年第3期35卷 3065-3079页

作者： P.Anantha Prabha G.Suchitra R.Saravanan Department of Computer Science&Engineering Sri Krishna College of TechnologyCoimbatore641042Tamil NaduIndia Department of Electronics and Communication Engineering Government College of TechnologyCoimbatore641013Tamil NaduIndia Department of Marine Pharmacology Faculty of Allied Health SciencesChettinad Academy of Research and EducationKelambakkamChengalpattu603103Tamil NaduIndia

Cephalopods identiﬁcation is a formidable task that involves hand inspection and close observation by a *** observation and iden-tiﬁcation take time and are always contingent on the involvement of experts.A system is proposed to alleviate this challenge that uses transfer learning techni-ques to classify the cephalopods *** the proposed method,only the Lightweight pre-trained networks are chosen to enable IoT in the task of cephalopod ***,the efﬁciency of the chosen models is determined by evaluating their performance and comparing theﬁ***,the models areﬁne-tuned by adding dense layers and tweaking hyperparameters to improve the classiﬁcation of *** models also employ a well-tuned Rectiﬁed Adam optimizer to increase the accuracy ***,Adam with Gradient Cen-tralisation(RAdamGC)is proposed and used inﬁne-tuned models to reduce the training *** framework enables an Internet of Things(IoT)or embedded device to perform the classiﬁcation tasks by embedding a suitable lightweight pre-trained ***ﬁne-tuned models,MobileNetV2,InceptionV3,and NASNet Mobile have achieved a classiﬁcation accuracy of 89.74%,87.12%,and 89.74%,***ﬁndings have indicated that theﬁne-tuned models can classify different kinds of *** results have also demonstrated that there is a signiﬁcant reduction in the training time with RAdamGC.

关键词： Cephalopods transfer learning lightweight models classiﬁcation deep learning ﬁsh IoT

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Enhanced Bio-Oil Production from Nannochloropsis Algae via Catalytic Liquefaction: Synthesis and Application of Iron-based Magnetically Recoverable Catalysts

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BioResources 2025年第2期20卷 2745-2764页

作者： Nirmala, Narasiman Arun, Jayaseelan Kumar, Sivaperumal Sanjay Jayamani, Manivannan Sureshkumar, Kumar Jawhari, Ahmed Hussain Palanisamy, Sivasubramanian Ali, Syed Kashif Al-Farraj, Saleh A. Centre for Waste Management Sathyabama Institute of Science and Technology Jeppiaar Nagar Tamil Nadu Chennai600119 India Centre of Excellence for Energy Research Sathyabama Institute of Science and Technology Jeppiaar Nagar Tamil Nadu Chennai600119 India Department of Mechanical Engineering Kalasalingam Academy of Research and Education Tamil Nadu Krishnankoil626126 India Department of Electronics and Communication Engineering Koneru Lakshmaiah Education Foundation Guntur District Andhra Pradesh Vaddeswaram522302 India Department of Physical Sciences Chemistry Division College of Science Jazan University P.O. Box.114 Jazan45142 Saudi Arabia Department of Mechanical Engineering PTR College of Engineering and Technology Austinpatti Tamil Nadu Madurai625008 India Department of Physical Sciences Chemistry Division College of Science Jazan University Jazan45142 Saudi Arabia Nanotechnology Research Unit College of Science Jazan University Jazan45142 Saudi Arabia Department of Zoology College of Science King Saud University Riyadh Saudi Arabia

Magnetically recoverable iron-based catalysts were developed, with the goal of being cost-effective, reusable, and environmentally friendly. The use of iron-based magnetically recoverable catalyst enhances the catalytic process efficiency for the enhanced bio-oil yield and quality compared to non-catalytic and conventional catalytic methods. The present study aimed to evaluate the hydrothermal liquefaction (HTL) of Nannochloropsis sp. in the presence of Fe3O4 nanostructures for enhanced bio-oil production. The use of a magnetic-supported catalyst that is low-cost, safe, and can be reused many times without requiring a regeneration step (by retrieving it magnetically from the solid material) can serve as a novel strategy to be used at an industrial scale. The maximum bio-oil yield 31.4% was obtained with a Fe3O4 catalyst dosage of 0.3 g at temperatures of 300 °C and biomass to solvent ratio of 100 g/L, respectively. The compositional analysis of the produced bio-oil was performed and showed notable characteristics for biofuel application. The synthesized Fe3O4 catalyst was recyclable for up to five repeated cycles and a fluctuated bio yield was achieved for the last three cycles of procreation capability for HTL of Nannochloropsis sp. Further improvisation in designing the next generation magnetically recoverable catalyst with improved stability, efficiency will pay wave way for cost–effective and scalable bio-oil production systems. © 2025, North Carolina State University. All rights reserved.

关键词： Algae

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Real Time Transformer Health Monitoring System Using IoT in R 12

Real Time Transformer Health Monitoring System Using IoT in ...

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12th International Conference on Computer communication and Informatics, ICCCI 2022

作者： Perumal, B. Nagarai, P. Venkatesh, R. Muneeswaran, V. Gopishankar, Y. Saikumar, A. Koushik, A. Anil, B. Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Virudhunagar Krishnankoil India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Virudhunagar Krishnankoil India Sri Shakthi Institute of Engineering and Technology Department of Computer Science and Engineering Chinniyampalayam Coimbatore India Kalasalingam Acadamy of Research and Education Department of Electronics and Communication Engineering Krishnan koil India

ISBN: (纸本)9781665480352

Observing of electrical gear utilizing IOT might assist with supplanting the hardware before disappointment and progression of the force won't be upset. This paper presents an execution of this idea which gains the continuous state of the conveyance transformer distantly with the utilization of web carrying out IOT. The proposed wellbeing checking framework works continuously and utilizes temperature-sensor, possible transformer and flow transformer for observing temperature, voltage and flow of the conveyance transformer and send these data to a distant worker where it tends to be checked and essential move might be made to keep away from the blackout of the power supply. The proposed structure has been finished in Laboratory and endeavored. The information gathered are approved and it has been tracked down that the proposed framework is working acceptably. © 2022 IEEE.

关键词： Internet of things

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Design and Analysis of High-Speed communication Systems for 5G and Beyond 9

Design and Analysis of High-Speed Communication Systems for ...

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9th International Conference on science, technology, Engineering and Mathematics, ICONSTEM 2024

作者： Jegadeesan, R. Srinivas, Dava Deivakani, M. Joshi, Sunita Dinesh, P.M. Kumar, M. Jogendra Jyothishmathi Institute of Technology And Science Department of Computer Science And Engineering Telangana Karimnagar505481 India Psna College of Engineering And Technology Department of Electronics And Communication Engineering Tamil Nadu Dindigul624622 India Manav Rachna International Institute of Research And Studies Department of Faculty of Computer Applications Haryana Faridabad121004 India Sona College of Technology Department of Electronics And Communication Engineering Tamil Nadu Salem636005 India KoneruLakshmaiah Education Foundation Department of Computer Science And Engineering Andhra Pradesh Vaddeswaram522302 India

ISBN: (纸本)9798350365092

Fifth Era Innovation (5G) is the late portable network in wireless communications. This article presents an assessment of the advancements in portable communications. The different issues that arise at each stage are reported in our guide to state-of-the-art wearable networks. The fifth era (5G) of portable networks offers everybody admittance to high-speed web at whatever point they need, any place they are. Since to its inventive qualities, such connecting individuals and controlling contraptions, machines, and items, 5G is somewhat unique. Various levels of execution and capacities presented by the 5G versatile innovation will make new client encounters and connection new organizations. It is pivotal to comprehend where the business can utilize5G's benefits. This work examines and models a microstrip fix antenna working at 29 GHz for impending 5G communication innovation. The result of this reproduction is better than past work that was finished. It can then be used as a significant source of strength for 5G wireless technologies. The ongoing logic diary demonstrates that the proposed antenna performs better than those currently in use. This antenna may therefore be adequate for his 5G wireless connection architecture. © 2024 IEEE.

关键词： 5G mobile communication systems

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Activation Distance and Capacity Analysis for Ambient Backscatter communications with Sensitivity Constraint and Beamforming

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China communications 2024年第11期21卷 257-266页

作者： Mu Yunping Fan Dian Wang Gongpu Xu Yongjun Kuang Lei Engineering Research Center of Network Management Technology for High Speed Railway of Ministry of Education School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijing 100044China China Academy of Information and Communications Technology Beijing 100191China School of Communication and Information Engineering Chongqing University of Posts and TelemcommunicationsChongqing 400065China Shanghai Key Laboratory of Multidimensional Information Processing Engineering Center of SHMEC for Space Information and GNSSSchool of Information Science and TechnologyEast China Normal UniversityShanghai 200241China

Circuit sensitivity of sensors or tags without battery is one practical constraint for ambient backscatter communication *** letter considers using beamforming to reduce the sensitivity constraint and evaluates the corresponding performance in terms of the tag activation distance and the system ***,we derive the activation probabilities of the tag in the case of single-antenna and multi-antenna ***,we obtain the capacity expressions for the ambient backscatter communication system with beamforming and illustrate the power allocation that maximizes the system capacity when the tag is ***,simulation results are provided to corroborate our proposed studies.

关键词： activation distance ambient backscatter communications beamforming channel capacity power allocation sensitivity

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