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Machine Vision-Enabled Automated System for Precise Dimension Measurement 1

Machine Vision-Enabled Automated System for Precise Dimensio...

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1st International conference on AIML-applications for Engineering and technology, ICAET 2025

作者： Bhawar, Harshada Darshane, Rucha Kadam, Anushka Jambhale, Samruddhi Patil, Harishchandra. T. Daimiwal, Nivedita Shriram, Revati MKSSS's Cummins College Instrumentation & Control Pune India

ISBN: (纸本)9798350355611

The dimension measurement system is implemented using Raspberry Pi 4 and its camera module. The algorithm development is done using Python programming, majorly Open Source Computer Vision (OpenCV) and other allied libraries. Real-time accurate measurement of dimensions plays a critical role in various industrial and manufacturing processes, ensuring product quality, compliance with standards, and overall efficiency. Machine vision technology has emerged as a powerful tool for achieving precise dimension measurement, offering numerous advantages over traditional methods. The paper highlights the capabilities of machine vision in the accurate measurement of various objects with high repeatability and speed. This is a framework where accuracy about the dimension of real-time objects in 3 different classes like small, medium, and large-sized objects is estimated. In the proposed approach, the object is detected by using an edge detection technique, continuous contour measurement and computing Euclidean distance. Under uniform environmental conditions, the proposed system gives accurate results for diverse object sizes ranging in height from 2 to 30 cm. The accuracy of the results is reliably within a defined range, which corresponds to the distance of the camera from the object. The span for small-sized objects is 6 to 35 cm, for medium-sized sized it is 17.5 to 72.5 cm and for large-sized sized it is 37 to 85 cm. © 2025 ieee.

关键词： Machine vision

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Construction of a Student Information Literacy Evaluation Model Based on BP Neural Network Algorithm

Construction of a Student Information Literacy Evaluation Mo...

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2024 International conference on Mechatronics and Intelligent control, ICMIC 2024

作者： Xu, Shan Shandong Institute of Commerce and Technology Shandong Province Jinan250103 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

This article aims to construct and validate a student information literacy evaluation model based on the BP neural network algorithm. In the current information age, the information literacy of students is crucial for their academic success and future development. However, traditional evaluation methods often lack accuracy and comprehensiveness. To address this issue, we have designed an evaluation model based on BP neural network, which can comprehensively analyze student questionnaire survey data and learning behavior logs, providing a more accurate and comprehensive assessment of information literacy. We demonstrated the training and optimization process of the model through detailed experimental design, and demonstrated its effectiveness through performance evaluation. The experimental results show that the model performs well in performance indicators such as accuracy, recall, and F1 score, and is superior to traditional machine learning models. Finally, we discussed the limitations of the model and its potential applications in the field of education. This study provides a new perspective and method for utilizing advanced machine learning techniques for educational evaluation and decision-making. © 2025 SPIE.

关键词： Data modeling Neural networks Machine learning Education and training Performance modeling Design Data processing Evolutionary algorithms Neurons Online learning

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Fuzzy Logic based Speed control of Induction Motor using SVPWM Technique 3

Fuzzy Logic based Speed Control of Induction Motor using SVP...

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3rd International conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Joshi, Shruti V. Priyashree, S. Madhu, S. Bnm Institute of Technology Department of Eee Karnataka Bengaluru India

ISBN: (纸本)9798331515911

Induction motors are essential in numerous industries for producing rotational motion and force. In variable-speed drive applications, these motors must offer a wide range of speed control and rapid torque response, even when load conditions fluctuate. Using pulse width modulation (PWM) techniques, variable voltage and frequency can be produced. Of these, the most popular techniques are carrier based sinusoidal pulse width modulation and Space Vector PWM (SVPWM).SVPWM is a sophisticated and computationally demanding PWM approach that is frequently considered the greatest of all existing methods for variable frequency drives due to its superior performance. Its application has been growing rapidly in recent years. This research focuses on comparing the effectiveness of Sinusoidal PWM and SVPWM for regulating induction motor speed, especially with regard to lowering the motor current's total harmonic distortion (THD).Results indicate that SVPWM outperforms Sinusoidal PWM as a vector control method for induction motor speed regulation. The study further extends the work by integrating aFuzzy decision systemwith the SVPWM technique to enhance speed control and analyze the induction motor's performance. Additionally, THD variation is examined for both methods. © 2025 ieee.

关键词： Harmonic distortion

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RISC-V Based Secure Processor Architecture for Return Address Protection 38

RISC-V Based Secure Processor Architecture for Return Addres...

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38th International conference on VLSI Design, VLSID 2025

作者： Sharma, Lalit Goel, Neeraj Indian Institute of Technology Ropar India

ISBN: (纸本)9798331522445

RISC-V-based cores are increasingly becoming pop-ular in embedded system applications because of their open-source architecture. Protecting such systems against memory-based attacks is one of the most difficult challenge. Buffer over-flow (BFO) attacks, specifically on Stack, can alter the program execution flow and are extensively employed by attackers. RISC-V foundation is working on specifications that will be used to maintain the control flow integrity (CFI) of the overall system. It will add 'zicfiss' and 'zicfiip' extensions for both backward edge and forwarded edge CFI, respectively. We propose a hardware-based approach that uses existing Return Address Stack (RAS) and requires low overhead, minimal microarchitecture changes, and limited software overhead to protect against such attacks. We assessed the performance of our design using buffer-intensive benchmarks. We verified its security by subjecting it to evaluation with the RIPE benchmark and our in-house test cases for BFO check. This approach safeguards the system from BFO attacks and could also enhance its security against Spectre attacks that exploit RAS vulnerabilities. We validated our design with Rocket-Core-based SoC and found less than 0.1% memory overhead and 2% timing overhead from the best case. © 2025 ieee.

关键词： Open source software

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IoT-Enabled Smart Classrooms for Enhanced Learning Environments 2

IoT-Enabled Smart Classrooms for Enhanced Learning Environme...

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2nd International conference on Computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Kumar, Prem Negi, Priyanshu Sharma, Priyanka Mittal, Pratham School of Computer Applications Manav Rachna International Institute of Research & Studies Faridabad India

ISBN: (纸本)9798331530389

Innovative integration of digital infrastructure with pedagogical practices in rapidly transforming educational environments. The technology is well recognized yet fails to solve issues in traditional classrooms due to poor resource management, less individualized learning experiences, and real-time performance monitoring. The research focuses on these issues and answers them by designing and implementing an IoT-enabled smart classroom ecosystem aiming at changing the learning environment. Developed an end-to-end IoT framework that incorporates sensor networks, machine learning algorithms, and adaptive learning interfaces across multiple educational institutions using a mixed-method approach. This included prototype development, systematic data collection, and iterative performance analysis using advanced analytics and user experience assessments. Significant learning engagement improvements by 23.7%. Resource usage efficiency improves by 35.2%. Excellent Personalized learning results, Real-time environmental monitoring of the IoT system, Adaptive instructional strategy with the complete track record of the student. The precision control in climate through sensors for an optimum lighting effect Smart management of the space using sensors. In sum, our research establishes a transformative model for technology-enhanced educational spaces, providing a scalable blueprint for future smart learning environments where technological innovation is integrated into pedagogical effectiveness. © 2025 ieee.

关键词： Adversarial machine learning

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Bidirectional Hybrid Wired/Wireless charging system for Electric Vehicle applications

Bidirectional Hybrid Wired/Wireless charging system for Elec...

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2025 ieee International Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Praveen, M. Balaji, C. Venugopal, R. Dominic Savio, A. Srm Institute of Science and Technology Department of Electrical and Electronics Engineering Chennai603203 India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529833

The rapid deployment of wired charging stations has enabled the quick adaption of electric vehicles by consumers. The simplicity in modelling and control of wired charger makes it well established in EV industry. It also produces efficiency in the desired range. However, convenience is the key issue. On the other hand, wireless charging has benefits like safe isolation between the coils and the possibility of charging the vehicle when in motion. Therefore, in this article, a combination of wired and wireless charging method is put forth in order to make the charging infrastructure compatible to all charging setups efficiently. Further, the proposed system operates in four modes, where two modes allow power flow from Grid-to-vehicle and the other two modes allow vehicle-to-grid power flow. A 3.7kW hybrid charger is designed and experimented and the performance of the proposed hybrid charger is presented. © 2025 ieee.

关键词： Charging stations

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Design and Implementation of Four Quadrant DC Drive 3

Design and Implementation of Four Quadrant DC Drive

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3rd International conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Sachin, B. Champa, P.N. Amrutha, N. RamyaShree, M. Yaseen, S.M. Bnm Institute of Technology Department of Eee Bengaluru70 India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

The paper focuses on hardware implementation of a reduced-cost, high-performance chopper-based four-quadrant DC drive system. The main aim is to control the speed and direction of a DC motor efficiently across all four quadrants of operation (i.e. forward and reverse motoring, forward and reverse regenerative braking). The drive system applies to electric vehicles (both plug-in and hybrid) that work in all four quadrants. The design encompasses the selection and sizing of components such as power transistors, diodes, and capacitors to ensure reliable and efficient operation. The system incorporates a chopper circuit to control the voltage supplied to the motor, thereby regulating its speed and direction. Modulation techniques (pulse width) are employed to vary the duty cycle 'k' of a chopper, allowing precise control over the motor's characteristics. Additionally, appropriate control algorithms are implemented to achieve smooth transitions between different operating modes while ensuring system stability. Experimentally validated by demonstrating the performance of the DC motor as a load in all four quadrants. The results demonstrate the effectiveness of the proposed four-quadrant DC drive utilizing a chopper for precise control and efficient operation of DC motors in industrial applications. © 2025 ieee.

关键词： Choppers (circuits)

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Investigation and Performance Analysis of a gridtied Multilevel Inverter for Industrial applications 16

Investigation and Performance Analysis of a gridtied Multile...

引用

16th Annual Power Electronics, Drive Systems, and Technologies conference, PEDSTC 2025

作者： Roshan, Maryam Reza Ali Sani Farajpour, Reza Adabi, Jafar Noshirvani University Of Technology Faculty of Electrical and Computer Engineering Babol Iran

ISBN: (纸本)9798331533946

This paper presents a adaptable multilevel inverter design utilizing the Packed E-Cell (PEC) configuration. This topology is well-suited for converting energy generated by photovoltaic systems to power AC loads and for use in uninterruptible power supplies (UPS). Key benefits of this inverter include a reduced requirement for power switches and gate drivers compared with traditional inverters, as well as a simplified control system. By positioning the shunt capacitors horizontally, both can be charged and discharged simultaneously to one-fourth of the input source. Consequently, with two isolated input sources, the inverter achieves the output voltage with 17 levels. A simple level-shifted pulse width modulation (LS-PWM) technique is employed to regulate the operation of the inverter. The performance and use of the multilevel inverter are verified through MATLAB-based simulations. © 2025 ieee.

关键词： Uninterruptible power systems

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Design and Implementation of an IoT-Enabled Rover with ESP32 CAM for Object Detection, Environmental Monitoring, and Web-Based control

Design and Implementation of an IoT-Enabled Rover with ESP32...

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2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Vimal, M. Sathyabama, K. Abishek, A. Ifet College of Engineering Dept of Information Technology Tamilnadu Villupuram India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509828

This project seeks to construct a multifunctional IoT-enabled rover system driven by an ESP32 microcontroller, built for accurate mobility, environmental monitoring, and surveillance. The rover includes numerous sensors, including ultrasonic sensors for distance measurement and sensors for temperature, humidity, and gas detection (LPG and CO), providing full environmental data collecting. An inbuilt ESP32-CAM enables the rover to detect and identify things, such as humans, animals, and cars, in real-time. The rover's versatility makes it excellent for applications such as agricultural monitoring, animal surveillance, urban infrastructure inspection, disaster response, and industrial monitoring. These tools assist improve agricultural management, monitor animals, examine infrastructure, and boost safety in industrial environments. The system's seamless integration of IoT with real-time data collecting and processing makes it a powerful tool for boosting efficiency and safety in different contexts. © 2025 ieee.

关键词： Cams

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Reversing Voltage Topology for Multi-Level Inverters: Simulation and Experimental Validation 1

Reversing Voltage Topology for Multi-Level Inverters: Simula...

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1st International conference on Sustainable Energy Technologies and Computational Intelligence, SETCOM 2025

作者： Patel, Gaurangkumar C. Patel, Ami T. Dhimmar, Nikunj J. S. S. Agrawal Institute of Engineering and Technology Electrical Department Gujarat Navsari396450 India Government Engineering College Bharuch Electrical Department Gujarat Bharuch392002 India

ISBN: (纸本)9798331520540

In recent years, using multi-level inverters for high power, high voltage applications has grown in popularity. Their performance is far better than standard two level inverters in terms of less harmonic distortion, decreased electromagnetic interference, and higher dc link *** might have certain drawbacks, such as a higher component count, a more difficult PWM control scheme, and a floating neutral point. This work introduces a novel architecture called Reversing Voltage (RV) to enhance the multilevel performance and compared it for different levels (up to eleven level) to show reduced % THD in output voltage at higher level. This design uses less carrier signals and switches than standard inverters, especially at higher levels. It also eliminates the need for voltage balancing. Phase disposition SPWM technology is the basis for both the topology and control mechanism. Lastly, comparisons are made between the experimental (Laboratory Proto-type Model for Single Phase Five-Level Inverter Using Reversing Voltage Topology) and simulation findings at various voltage levels. The outcomes of the experiment closely resemble those of the simulation. © 2025 ieee.

关键词： Multi-level inverter reversing voltage topology SPWM technique

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