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Design of a PV Grid-Tied Zeta Converter with Modified ANFIS Controller

Design of a PV Grid-Tied Zeta Converter with Modified ANFIS ...

引用

2024 international conference on Recent advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence, RAEEUCCI 2024

作者： Kaliappan, Kannan Wisemin Lins, A. Madhana, R. Kavin, K.S. Subha Karuvelam, P. Ruban, Ignatius J. Sreenidhi Institute of science and Technology Department of Electrical and Electronics Engineering Hyderabad India Vels Institute of Science Technology and Advanced Studies Department of Electrical and Electronics Engineering Chennai600117 India S.A. Engineering College Department of Electrical and Electronics Engineering Thiruverkadu Chennai600077 India Government College of Engineering Department of Electrical and Electronics Engineering Tamilnadu Tirunelveli India Rajiv Gandhi College of Engineering Department of Electrical and Electronics Engineering Sriperumbudur India

ISBN: (纸本)9798350354539

The demand for renewable energy sources (RES) is expanding these days and solar energy are the primary energy sources found in the world. It is a healthy substitute for fossil fuels. As a result, it is now essential to apply power electronics in the solar power producing zone. The main technique for producing such renewable resources fast and efficiently is the use of converters and inverter. In this study, a Zeta converter (shows 94.7 % efficiency) with a modified ANFIS logic controller (shows 95% accuracy) is used to feed photovoltaic (PV) energy sources to load needs. One of the key benefits of the Zeta converter is its ability to maintain consistent input and output currents. It lowers the electromagnetic interference, lower input and output current ripple, and improved dependability. In the event of a changeable load, the modified ANFIS controller for the SEPIC converter, which served as the connection among the power source and the inverter, maintains a constant voltage and displays a little continuous error as well as a minor overflow. MATLAB/Simulink is used to verify the development and evaluation of a Zeta converter based on PVs. © 2024 IEEE.

关键词： Controllers

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A Method for Robot to Detect the Facial Landmarks with Masks 9

A Method for Robot to Detect the Facial Landmarks with Masks

引用

9th international conference on Electrical engineering, Control and robotics, EECR 2023

作者： Wang, Di Shi, Boqiang Gao, Yin Wang, Shuo University of Science and Technology Beijing School of Mechanical Engineering Beijing China Hefei University of Technology School of Mechanical Engineering Hefei China

ISBN: (纸本)9781665491204

As the epidemic intensifies aroun d the world, more and more people are wearing masks, which also makes it more difficult for robots to recognize key points of faces. Because of the distribution of face data with masks is completely different from the distribution of face data without masks, the accuracy of existing face points detection algorithms in academia and business is greatly reduced. Inthis paper, we present a facial keypoints detection algorithm with masks, which is as accuracy as the keypoints detection algorithm without masks. We propose 1) a low-cost facial landmark detection method with masks. 2) a realtime network that enhances the cognitive ability of each layer's receptive field. This solution can be implemented at low-cost and has high accuracy, contributing to the epidemic prevention and control work. © 2023 IEEE.

关键词： Disease control

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Improved RRT ∗ Algorithm Combined with an Adaptive Probability-Adjusted Goal-Directed Node Strategy 5

Improved RRT ∗ Algorithm Combined with an Adaptive Probabil...

引用

5th international conference on robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

作者： Liu, Fuyong Wang, Ding Zhao, Tong Zhou, Yu-Ying Xinjiang College of Science and Technology School of Information Science and Engineering Korla The Xinjiang Uygur Autonomous Region China China Nuclear Engineering Consulting Co. Ltd. Beijing China Suzhou Keda Technology Company Ltd. Jiangsu Province Suzhou China

ISBN: (纸本)9798350357950

The basic operation of the autonomous mobile robot is the grasping action of the mechanical arm arm. The premise of grasping is the identification of targets, and the key technology of successful grasping is the path planning and motion control of the robotic arm. Path planning is the premise of motion control. In particular, the obstacle avoidance path planning of the robot arm is the basic condition for the application of the autonomous mobile robot. In this paper, we improve the RRT∗ algorithm. To reduce the running time and avoid falling into local minima, the goal-oriented node strategy is added and the adaptive probability is adjusted. The simulation experiment of obstacle avoidance path planning illustrates the reliability of the proposed obstacle avoidance path planning algorithm. © 2023 IEEE.

关键词： adaptive probability adjustment goal-oriented node path planning RRT

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Fabrication and control of magnetic planar nanorobots 5

Fabrication and control of magnetic planar nanorobots

引用

5th international conference on Control, robotics, and Intelligent System, CCRIS 2024

作者： Li, Zerui Jiang, Teng Li, Dongrui Qin, Jiazheng Cheang, UKei Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen518055 China

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

With the development of science and technology, cross-scale robots are becoming increasingly popular. For different a pplication s cenarios, r obots w ith d iverse s cales a nd f unctions a re a lso r equired. M icron a nd n ano scale robots are typically used for targeted drug delivery or micro signal detection in the body. In order to enable micro and nano robots to enter the tissue through the finer b lood v essels i n t he b ody f or e fficient dru g delivery and other functions, it is required that the size of the robot is small and it can be controlled accurately. We here propose an achiral planar nanorobot construction capable of stable motion in the presence of a consistent rotating magnetic field. U sing n anoimprint t echnology, m agnetic n anorobots s maller t han o ne m icron a re manufactured in batches. The motion of the nanorobots is controled by Helmholtz coils which create a revolving magnetic field. T he p reparation a ccuracy, m oving s peed, m oving a ccuracy a nd b iocompatibility o f t he n anorobots were tested, and anti-cancer drugs were loaded on the surface of the nanorobots by means of surface modification, and the rate of drug release was subsequently evaluated. The fabrication process and magnetic control strategy of the nanorobots in this work helps the future investigations of the drug-carrying robots in body. © 2024 SPIE.

关键词： Nanorobots

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Emotion Recognition in Real Time for Personalized Healthcare Using Digital Twin Approach 2

Emotion Recognition in Real Time for Personalized Healthcare...

引用

2nd IEEE international conference on advances in Information technology, ICAIT 2024

作者： Karthikeyani, B. Yuvaraj, D. Parimalam, T. Parthasarathi, P. Nandha Arts and Science College India CollegeGobi India Department of Computer Science and Design Kongu Engineering College Perundurai India Department of Computer Science Nandha Arts and Science College Perundurai India Department of Computer Science and Engineering Bannari Amman Institute of Technology Sathyamangalam India

ISBN: (纸本)9798350383867

Facial Emotional Recognition (FER) in healthcare can help to monitoring the patient by analyzing the emotional state of the patient through various emotional states. In medical industry it can help to trace the emotional state changes and diagnosis the pattern which are mapped respective to the patient's history. Digital twin technology is transforming healthcare systems and improving patient care, clinical operations, predictive analytics, and training and simulation by integrating virtual simulations and emerging analytic mechanism through ML and DL techniques. By allocating resources, monitoring workflow, and providing individualized patient care, these algorithms reduce healthcare operations and assist in determining an individual's risk. Since FER has lot of technical challenges like illumination, obstruction issues also high implementation cost. To solve these issues, the FER system will embed with the digital twin technology to provide a better result from real time sensing cameras also analyzing the result and guiding for a better treatment of an individual. We propose a system of end to end framework which produces best results in minimum amount of time with maximum accuracy. This real time implementation will help all the healthcare centers/industry to study an individual's health status as well as early prediction of diseases with effective treatment steps. © 2024 IEEE.

关键词： Deep learning

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Fixed-time sliding mode extended state observer-based tracking control for cable-driven parallel robots with uncertain dynamics 5

Fixed-time sliding mode extended state observer-based tracki...

引用

5th international conference on Control, robotics, and Intelligent System, CCRIS 2024

作者： Lu, Yanqi Xu, Ruiqi Yao, Weiran School of Astronautics Harbin Institute of Technology Harbin China

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

The development and applications of cable-driven parallel robots (CDPRs) are restricted due to model uncertainties and external disturbances, which decrease the positioning accuracy of CDPRs. To address this issue, an imitated active disturbance rejection controller (IADRC) is proposed in this paper. A fixed-time sliding mode extended state observer (FTSMESO) is designed to estimate the lumped uncertainties via the switching sliding mode variable. The fixed time convergence of estimation errors is guaranteed, and the convergence time is unrelated to the system’s initial state. Based on the FTSMESO, an IADRC is proposed and its robustness is analyzed. The simulations and experiments are conducted, and the results indicate that the designed FTSMESO effectively observes the lumped uncertainties and verifies the practicality and effectiveness of the IADRC. © 2024 SPIE.

关键词： Disturbance rejection

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Temporal Threat Recognition in Supply Chains: Integrating Hidden Markov Models for Proactive Security with AI-Driven Automated Threat Hunting

Temporal Threat Recognition in Supply Chains: Integrating Hi...

引用

2024 international conference on advances in Modern Age Technologies for Health and engineering science, AMATHE 2024

作者： Rathor, Ketan Dhananjayamurthy, B.V. Abdul Jaleel, D. Pal, Subharun Bhavani, P. Nishant, Neerav Gyan Sys Inc. Mumbai India Nitte Meenakshi Institute Of Technology Department Of Mathematics Bangalore India Madanapalle Institute Of Technology & Science Department Of Computer Science & Technology Andhra Pradesh Madanapalle India India K Ramakrishnan College Of Engineering Department Of Artificial Intelligence And Data Science Tamilnadu Trichy India School Of Engineering Babu Banarasi Das University Department Of Cse Lucknow India

ISBN: (纸本)9798350371567

In order to tackle the pressing problem of 'Temporal Threat Recognition in Supply Chains,' this study presents a novel integrated model that combines RNNs with Hidden Markov Models (HMMs). Proactive security measures and operational integrity rely on the prompt and correct identification of temporal risks within the dynamic environment of supply chains. This is the crux of the issue statement. By combining RNN for fine-grained identification with HMM for high-level threat classification, our proposed system provides a holistic approach that can detect both broad patterns and subtle details. Our integrated model outperforms previous work in terms of performance measures, as seen by its 0.92 precision, 0.88 recall, 0.90 F1-Score, and 0.91 total accuracy. The model's usefulness in improving temporal threat identification is confirmed by its outperformance in precision, recall, accuracy, and AUC-ROC, as demonstrated in a comparative comparison with state-of-the-art approaches. The computational efficiency of the model makes it a viable option for realistic supply chain applications in the real world. In addition to bringing a fresh perspective to the field of temporal threat modelling, our study has practical implications for supply chain security and offers researchers and practitioners in the industry with a powerful and effective tool. © 2024 IEEE.

关键词： Hidden Markov models

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Real Time Monitoring and Configuration Interface for Smart Home Device Management Using Streamlit and Pygame

Real Time Monitoring and Configuration Interface for Smart H...

引用

2024 international conference on advances in Data engineering and Intelligent Computing Systems, ADICS 2024

作者： Mani, G. Suma Krishna, G. Venkata Praveena, M.D. Anto Asha, P. Selvan, Mercy Paul Sathyabama Institute Of Science And Technology Dept. Of Computer Science And Engineering Chennai India

ISBN: (纸本)9798350364828

One of the helpful tool for measuring and managing home power consumption is one of the clever and creative tool for tracking the usage of Home Power Management System. The Goal of this system is to lower the power bills, also promote energy efficiency, and provide the users active control over how much energy they use. Smart meters, an intuitive and user-friendly smartphone app, and real-time energy monitoring sensors are some of the system's essential parts and these are the key parts of the system. Installing smart meters makes it possible to accurately track the power usage and provide data to the system. Users can be able to see their energy usage instantly and make smart decisions when real-time energy monitoring equipment is included. Further, the system uses advanced smart technology, analytics and machine learning algorithms to provide clients customized suggestions on how to save energy consumption. Homes may save a lot of money on electricity bills, help the environment, and have more control over how much energy they use by using our Smart Home Power Management System. © 2024 IEEE.

关键词： Smart meters

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Prediction of Heart Disease Using ML Algorithms 1

Prediction of Heart Disease Using ML Algorithms

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1st international conference on advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Panda, Ashok Kumar Pati, Chinmayee Pradhan, Sonali Pradhan, Amrutanshu Rath, Naba Kumar Silicon University Department Of Computer Science & Engineering Bhubaneswar India School of Computer Sciences Odisha University of Technology and Research Bhubaneswar India Bhubaneswar India

ISBN: (纸本)9798331518578

There are a variety of approaches utilised in the processing of healthcare data. Data mining is utilised quite frequently. The majority of deaths are caused by cardiovascular disorders. It is a risk factor for heart disease. The proportions of risk factors for heart disease can be computed using this technique. Data sources can be categorised based on healthcare factors. Using a data mining classification approach, this system does analysis on such parameters. The datasets are analysed using the Decision Tree Algorithm and the Naive Bayes Algorithm, both of which are written in Python. The Decision Tree Algorithm has the highest precision for heart disease. © 2025 IEEE.

关键词： classification techniques Data mining Heart disease Machine Learning methods

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A cascade classifier-based system for identifying And counting the different kinds of vehicles using Open CV 1

A cascade classifier-based system for identifying And counti...

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1st IEEE international conference on advances in Computing, Communication and Networking, ICAC2N 2024

作者： Kumar, Amit Yadav, Sunita Galgotias University Department of Computer Science and Engineering Greater Noida India Galgotias University School of Computing Science and Engineering Greater Noida India

ISBN: (纸本)9798350356816

Vehicle identification and counting are becoming more important tools for highway management. Anyhow, because cars come in a variety of sizes, identifying them remains a test that directly affects the accuracy of vehicle counts. The advancements in vehicle detection technology have significantly progressed alongside the development of autonomous driving and intelligent transportation research. This study focuses on video-based algorithms for vehicle detection and counting, utilizing OpenCV technology as the foundation for these techniques. The suggested solution use the background subtraction method to identify foreground elements in a subsequent movie. Using OpenCV, Numpy, and object detection techniques, from those moving objects, automobiles are spotted, categorised, and counted for traffic estimation. The results of an experiment reveal that the proposed counting techniques are about 84.60% percent accurate. The method is able to provide good vehicle counting accuracy with quick calculation when combined with quick motion detection and tracking techniques. © 2024 IEEE.

关键词： Highway administration

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