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Hydro-Environmental Autonomous Cleaning System (HEACS)

Hydro-Environmental Autonomous Cleaning System (HEACS)

引用

2025 IEEE international Students' conference on electrical, Electronics and computer science, SCEECS 2025

作者： Ingale, Kiran Junghare, Rugved Jadhav, Atharva Jain, Rishi Jadhav, Digvijayy Jadhav, Tanaya Jasuja, Ishita Vishwakarma Institute of Technology Department of Multidisciplinary Engineering Pune India

ISBN: (纸本)9798331529833

The Hydro-Environmental Autonomous Cleaning System (HEACS) addresses the critical issue of water pollution by autonomously collecting waste from water bodies and monitoring water quality. This system integrates a conveyor belt mechanism powered by DC motors for efficient waste collection, including oil spills. Water quality is maintained using Total Dissolved Solids (TDS) sensors, which trigger the injection of purifying chemicals like 777 Bioconcentrate, chlorine dioxide, Copper Sulphate, or Aluminium Sulphate when necessary. Collected garbage weight is measured using load sensors, with real-time data displayed on an LCD connected to an Arduino Uno. Autonomous navigation and operation are managed via Rx/Tx modules, ensuring effective performance in various environmental conditions. HEACS offers a comprehensive solution for water pollution control, combining automation, effective waste management, and environmental monitoring to protect aquatic ecosystems. © 2025 IEEE.

关键词： Oil spills

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Gesture and Voice-Based Automation System for Home Surveillance 1

Gesture and Voice-Based Automation System for Home Surveilla...

引用

1st international conference on Advances in computer science, electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Santhosh, B. Oli, Sanjay Jayanth, C. Suresh Kumar, M. Raj, Preetham N Kandpal, Ankit Dayananda Sagar College of Engineering Department of Electronics and Telecommunication Engineering Bangalore560078 India Dayananda Sagar College of Engineering Department of Mathematics Bangalore560078 India Dayananda Sagar College of Engineering Department of Information Science and Engineering Bangalore560078 India Bipin Tripathi Kumaon Institute of Technology Dwarahat Department of ECE Almora India

ISBN: (纸本)9798331518578

Gesture and voice-based automation innovations are being examined because of the developing interest for reliable and smart home security frameworks. In this study, a MATLAB-based home reconnaissance automation framework in light of voice and motion is created and reproduced. To perceive, interpret, and answer user developments and vocal orders, the proposed framework utilizes modern sign handling and AI calculations. Although nonverbal communication through gestures has been around for a while, gesture-based human-computer interaction (HCI) is growing in popularity in the present day. The conventional interface uses a number of tools, including markers, physical controllers, and gloves, to increase the recognition rate. This work offers a novel marker less method for capturing gestures without the use of expensive gear or any obstacles. In order to enable disabled individuals to operate household appliances using their own speech and gesture commands, we present in this paper a speech and Gesture Driven automation system for homes with a central controller. The framework joins programmed reactions with continuous observation highlights to further develop security, openness, and user solace. Framework reenactment, including control rationale, voice order handling, and motion identification, is finished with MATLAB. The accuracy, reactivity, and common sense of the innovation are shown by the recreation results. © 2025 IEEE.

关键词： MATLAB

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Development of Multi Objective Approach for Validation of PID controller for Buck Converter 1

Development of Multi Objective Approach for Validation of PI...

引用

1st international conference on Advances in computer science, electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Arun Kumar, K. Vegineni, Gopi Chand Suresh, C. Chowdari Marella, Bhagath Chandra Addanki, Sireesha Chimwal, Palak Big Data Architect India Sr.Software Engineer Enrollment and Eligibility Team India Electrical and Electronics Engineering School of Engineering and Technology Dhanalakshmi Srinivasan University Trichy Samayapuram621112 India Insights & Data Capgemini Department of Financial Services India System soft Technologies LLC India Bipin Tripathi Kumaon Institute of Technology Department of Electrical Engineering Almora Dwarahat India

ISBN: (纸本)9798331518578

Buck converters are a common converter of DCDC used for high energy conversion and power sources. These regulators are utilized in electronic gear to alter the result voltage because of changes in the heap current and information voltage. Therefore, in order to react to enquiries in real time, an efficient control system is required. In this work, an upgraded Sine Cosine Algorithm (ISCA) with proportional-integral-derivative (PID) controller is proposed for Mult objective optimization of a DC-DC buck converter. Through two distinct modifications, the limitations of the traditional SCA were therefore addressed, leading to the innovative use of nonlinear equations in conjunction with instrumental mechanisms to update the average location. By contrasting its response for frequency, response for increment, uncertainties of parametric, statistics of time-space indispensable error execution, objective capability, and resistance from aggravation with the previous methods-based PID for buck converters of DC-DC, the suggested ISCA-PID technique's robustness was evaluated. The results obtained later revealed that the suggested approach outperformed its algorithmic predecessors in terms of the DC-DC buck converter's remarkably improved transient responsiveness. © 2025 IEEE.

关键词： Buck converter

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Integrated Electromagnetic, Thermal, and Vibration Analysis for High-Performance Synchronous Reluctance Motor Design in Electric Vehicle Applications

Integrated Electromagnetic, Thermal, and Vibration Analysis ...

引用

2025 IEEE international Students' conference on electrical, Electronics and computer science, SCEECS 2025

作者： Prabhu, Sundaramoorthy Mohan, Kothapalli Joshitha Mahadevan, Balaji Nayeem, Mohammad Dinesh, T. Arun, Vijayakumar Electrical and Electronics Engineering Tirupati India Sri Sivasibramaniya Nadar College of Engineering Electrical and Electronics Engineering Chennai India Research Scientist Vt India Chennai India

ISBN: (纸本)9798331529833

The SyRM motor is known for delivering high power density at a low cost, thanks to its reluctance principle. Unlike synchronous motors that require starting methods and are not self-starting, the SyRM motor doesn't need any starting mechanisms. Additionally, it can maintain a constant speed under various conditions, overcoming changes in loads such as underloads or overloads through synchronizing torque. The absence of torque ripples is a notable advantage. However, one drawback is its inability to vary speed, limiting its application in scenarios where speed control is necessary. Another limitation is the higher copper losses due to the presence of three-phase windings, compared to DC motors. To address these issues, Finite Element Analysis was conducted on the SyRM motor, encompassing electromagnetic, thermal, and vibration analyses. The parameters examined included torque, flux linkage, speed under load, E-NVH modal, time harmonics (1D with harmonic order vs amplitude characteristics), harmonic order and angle characteristics, space harmonics (with respect to space order vs angle characteristics), and space order vs amplitude characteristics. Additionally, a polar plot was employed in this analysis. In the thermal analysis, a schematic overview revealed insights into the motor's thermal behavior. The motor specifications used for modeling were a voltage of 60V, current of 15Amp, speed of 3000rpm, and power of 3KWatts. © 2025 IEEE.

关键词： Vibration analysis

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Quantum-Powered Autonomous Deep-Sea Explorer Using AI, Microbiofuels, and Advanced Sensors for Oceanic Discovery

Quantum-Powered Autonomous Deep-Sea Explorer Using AI, Micro...

引用

2025 international conference on computer, electrical and Communication engineering, ICCECE 2025

作者： Chouhan, Sandeep Sandhu, Ramandeep Yadav, Om Prakash Islam, Sarder M. N. Lovely Professional University School of Computer Science and Engineering Punjab Phagwara India 2 Department of Applied Information Melbourne Australia

ISBN: (纸本)9798331513894

The ocean's depths are among the most enigmatic regions on Earth, with geographical features, temperatures, and marine life remaining widely unexplored. The traditional forms of exploration confront water pressure, cold-temperature conditions, and a lack of energy resources. This research suggests a novel apparatus, that integrates quantum technology, artificial intelligence (AI), and cutting-edge sensors to address these issues and enhance ocean floor mapping, gas detection and element *** energy apparatus of the device is central to ensuring its functionality for a prolonged period. It employs thermoelectric generators exploiting the temperature difference between the cold waters located at depth and warmer surface layers and the microbial fuel cells (MFCs) that convert organic materials in ocean sediments into electricity. This hybrid energy combined cycle, therefore sustainable operation without external power *** sensors such as quantum-enhanced spectroscopy and mass spectrometers will be used for the detection and analysis of gases, trace elements and organic compounds. The balanced engineering systems integrated into the automated equipment will be used with the power distribution control and information processing in the real-time mode performed by the quantum neural networks (QNN). The system's adaptability, and accuracy and that system may function unattended for fairly long periods, this system presents an unprecedented device that should change the course of deep-sea studies as it will provide access to previously unreachable areas. © 2025 IEEE.

关键词： Microbial fuel cells

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Diamagnetically Levitated and Trapped Graphite Mechanical Resonators 38

Diamagnetically Levitated and Trapped Graphite Mechanical Re...

引用

38th IEEE international conference on Micro Electro Mechanical Systems, MEMS 2025

作者： Wang, Yunong Gage, Alexander Lee, Jaesung Feng, Philip X.-L. University of Florida Herbert Wertheim College of Engineering Department of Electrical and Computer Engineering GainesvilleFL32611 United States University of Central Florida College of Engineering & Computer Science Department of Electrical and Computer Engineering OrlandoFL32816 United States

ISBN: (纸本)9798331508890

We report on studying diamagnetic levitation and rigid body resonances of millimeter- to centimeter-scale trapped graphite mechanical resonators, by combining theoretical analysis with experimental demonstrations. Harnessing the strong diamagnetic susceptibility of pyrolytic graphite, we demonstrate stable levitation of square graphite thin plates with varying dimensions and masses above permanent magnets, without the need of active control. The resonance motions are excited by dielectric gradient forces and detected via an ultrasensitive optical interferometry system at room temperature. We observe rigid body resonance modes with frequencies between 25 Hz and 50 Hz and with their quality (Q) factors from 30 to 70. The Q factors are primarily constrained by air damping and eddy current damping. This work represents an initial step toward developing high-stability, anchor-less levitating resonant systems with large masses, paving the way for high-performance resonant sensors with minimal energy dissipation and exceptional thermal and mechanical isolation with very small power consumption. © 2025 IEEE.

关键词： Damping

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Fault diagnosis of train control vehicle equipment based on dual-channel feature fusion 5

Fault diagnosis of train control vehicle equipment based on ...

引用

5th international conference on Signal Processing and computer science, SPCS 2024

作者： Yan, Xiaorong Zhang, Zhenhai School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

It is of great significance to extract the features of a large number of fault text data generated during the operation of train control vehicle equipment in the subsequent fault diagnosis task. In this paper, a fault diagnosis model based on BiGRU and CNN based on dual-channel feature fusion is constructed. Firstly, the dynamic word vectors were generated by the BERT pre-trained model from the data cleaning fault vocabulary database. Then, in order to fully extract the global and local semantic information of the data, a fault diagnosis model based on BiGRU-CNN dual-channel feature fusion was constructed, and an improved cross-entropy loss function was introduced to focus on the difficult to classify samples. Finally, the fused high-dimensional feature vector matrix is reduced by the PCA method, the redundant information is removed, and the SVM classifier is used to complete the fault data classification and realize fault diagnosis. Experimental results show that the model can obtain word vectors with strong representation ability, and the extracted features with this word vector as the input of the dual-channel model have global and local semantic information, and can effectively solve the problem of inaccurate classification of small sample data. The model in this paper has significantly improved the accuracy, recall rate, and F1 value, which can provide some support for the daily diagnosis of train control vehicle equipment. © 2025 SPIE.

关键词： Automobile parts and equipment

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IALS: Innovative Approach for Lung Segmentation Applying Artificial Intelligence and Deep Learning

IALS: Innovative Approach for Lung Segmentation Applying Art...

引用

2025 international conference on computer, electrical and Communication engineering, ICCECE 2025

作者： Hossain, Mohammad Alamgir Shahi, Fazal Imam Husain, Sadia Suliman, Abdelrazig Kamal, Mohammad Shahid Ahmad, Yasir Talukdar, Mohammad Mazedul Huq Martin, R. John Jazan University College of Engineering & Computer Science Department of computer Science Jazan Saudi Arabia Jazan University ELearning Center Jazan Saudi Arabia University of Bisha Faculty of Computers and Information Technology Department of Information Technology Saudi Arabia Jazan University College of Arts and Humanities Department of Foreign Languages Jazan Saudi Arabia

ISBN: (纸本)9798331513894

The automated segmentation of lungs within chest CT scans remains crucial for many medical applications that require disease diagnosis and treatment design. The presented deep incremental learning (DIL) system addresses fundamental limitations that arise during lung segmentation processes. The exceptional segmentation outcomes result from the neural network structure which includes masked RCNN+UNet for tissue segmentation and GAN+VARMA for classification. Medical literature identifies lung tissue structures as difficult to study because they present irregular forms and complex structures. The task of obtaining precise segmentation proves very challenging. The application of masked RCNN+UNet enables shape control and improves segmentation precision of the lung system. The DIL function helps maintain improved features within segmented images. The applied framework enables improved performance through DSC and MAE and JI metrics evaluation. Experimental evidence shows that the new framework achieves superior performance compared to current top-ranking methods for lung segmentation. The proposed framework exhibits excellent precision and detection efficiency with a DSC value of 0.96 and JI value of 0.93 and a low MAE © 2025 IEEE.

关键词： Medical applications

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Track Sensing Obstacle Avoidance Technology For Autonomous Vehicle

Track Sensing Obstacle Avoidance Technology For Autonomous V...

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2025 IEEE international Students' conference on electrical, Electronics and computer science, SCEECS 2025

作者： Nagrale, Niraj K. Nagrale, Vishakha Bais, Soumya K. Kalpe, Prerna H. Gote, Sahil R. G H Raisoni College of Engineering Dept. of Etc Engineering Maharashtra Nagpur India College of Engineering & Management Dept. of Cse Nagpur India

ISBN: (纸本)9798331529833

This paper presents a developed and tested autonomous robotic vehicle with a track sensing and obstacle avoidance system, using an L298 motor driver and an Arduino Nano. The vehicle is designed to move autonomously in different environments while detecting obstacles and making avoidance decisions. It is fitted with an HC-SR04 ultrasonic sensor, which continuously measures the distance for the presence of an obstacle and changes the path of the vehicle accordingly. The motor driver L298 controls the two DC motors, which aid in controlling the movement of the robot accurately. The Arduino Nano microcontroller then processes this information from the ultrasonic sensor and instructs the motor driver to make adjustments to achieve a smooth navigation and obstacle avoidance in real-time. Designed for handling various types of terrains and obstacles, the robot showcases very advanced techniques of collision avoidance. The control software is written in the Arduino IDE and C++ programming, integrating sensor information with motor commands. This project is for improving efficiency and autonomy in terms of robotic vehicles, with absolutely no manual intervention to the least possible while improving operational reliability. © 2025 IEEE.

关键词： C++ (programming language)

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Design and Implementation of Smart Home control System Based on STM32 7th

Design and Implementation of Smart Home Control System Based...

引用

7th international conference on Wireless Communications, Networking and Applications, WCNA 2023

作者： Gao, Lang Li, Guo College of Computer Science and Engineering Guangxi Normal University Guilin541004 China

ISBN: (纸本)9789819624089

With the rapid development of Internet of Things (IoT) technology, smart home control has become an indispensable part of modern life. This study designs a smart home control system based on the STM32 microcontroller, combined with Tencent CloudBase and WiFi communication technology, to achieve remote control of home devices and real-time monitoring of home environments. The system uses the MQTT protocol to transmit data and send control commands. At the same time, a WeChat mini-program is developed as the client for controlling devices. The feasibility of the system has been verified through testing. © The Author(s) 2025.

关键词： Smart homes

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