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2nd International Conference on Emerging Electronics and Automation, E2A 2022

作者： Mohta, Achyut Kadu, Anil Instrumentation and Control Engineering Vishwakarma Institute of Technology Pune Pune India

ISBN: (纸本)9789819968541

Garbage management has become a global challenge. Talking about India, garbage management has greatly improved over the past few years as a result of various schemes proposed and initiatives undertaken by the government. However, to achieve efficient garbage management, garbage segregation is a crucial step, which is quite poor in India. Every year, we produce approximately 63 million (plus) metric tons of waste, out of which only 30% is properly segregated, and the remaining 70% is dumped in the ground. This paper proposes a design for the automated segregation of garbage and waste by using computer vision and the deep learning algorithm YOLOv5 to efficiently segregate the waste at the source itself. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Computer vision

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Efficient Multi-Path Interference Mitigation in Indirect Time-of-Flight Imaging Using Hybrid Optimization 13

Efficient Multi-Path Interference Mitigation in Indirect Tim...

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13th International Conference on control, Automation and Information Sciences, ICCAIS 2024

作者： Kim, J Aehyeok Jeong, Jaehwa Department of Control and Instrumentation Engineering Korea University Sejong Korea Republic of

ISBN: (纸本)9798331542047

Indirect Time-of-Flight (iToF) technology is widely utilized for precise spatial sensing. However, it is highly suscep-tible to Multi-Path Interference (MPI), which can be induced by semi-transparent objects, sharp edges, or fog and degrade the accuracy of 3D measurement. This study proposes a hybrid optimization approach combining Orthogonal Matching Pursuit (OMP) and Sequential Quadratic Programming (SQP) to effec-tively mitigate MPI in iToF systems. By using OMP to generate initial values for SQP optimization, we demonstrate improved accuracy and faster convergence compared to traditional meth-ods like Particle Swarm Optimization (PSO) combined with the Interior Point Method (IPM). We evaluate the proposed OMP-SQP hybrid method using a publicly available dataset, which includes various challenging scenarios such as stray light interference and closely spaced targets. The experimental results show that the OMP-SQP method achieves up to 3.33 times faster optimization with comparable or even superior accuracy to the existing method. These findings suggest that the OMP-SQP hybrid method is a highly efficient and reliable solution for enhancing the performance of iToF systems under complex MPI conditions. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Identification of Fiber Type Proportions in Gastrocnemius Lateralis and Soleus Muscles Using Surface EMG Signals and Concentration Measure Derived From Rihaczek Distribution

Identification of Fiber Type Proportions in Gastrocnemius La...

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2025 International Conference on Emerging Technologies for Intelligent Systems, ETIS 2025

作者： Nair, Remya R Sidharth, N. Venugopal, G. Biomedical Instrumentation and Signal Processing Lab Department of Instrumentation and Control Engineering Kerala Palakkad India Department of Electronics and Communication Engineering Kerala Palakkad India

ISBN: (纸本)9798331507541

Fiber type proportion influences the fatigue characteristics and force production in skeletal muscles. In this study, surface electromyography signals and concentration measure derived from Rihaczek distribution are used to identify the fiber type proportions in gastrocnemius lateralis (GL) and soleus (SOL) muscles. Signals are acquired using standard protocols until the subjects experience muscle fatigue and are processed using Rihaczek distribution. Further, a comparative study is performed to analyze the advantages of energy-based features over complexity, statistical, and spectral frequency-based features in analyzing the fiber type proportions. Features such as renyi information, spectral skewness, spectral flatness, and peak frequency are also extracted from the distributions of non-fatigue (NF) and fatigue (F) segments. Results indicate that the extracted features showed a decrease during fatigue in the signals of GL and an increase in the case of SOL, reflecting their distinct fiber composition. The highest statistical significance of p equal to 4.26E-05 and 6.47E-05 respectively is obtained using concentration measure for differentiating the signals of GL and SOL during NF and F states. The lowest significance is observed for renyi information in discriminating the signals. The energy-based features like concentration measure and spectral flatness are found highly sensitive to fiber-type variations compared to other features considered in this study. Thus, the proposed method using Rihaczek distribution is found suitable for identifying the fiber type differences among GL and SOL. This approach may be utilized for identifying the fiber typology in different skeletal muscles which finds application in sports science. © 2025 IEEE.

关键词： Creatinine

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Single-Sensor based CSPO Algorithm for Maximum Power Point Tracking under Dynamic Shading Conditions

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Journal of The Institution of Engineers (India): Series B 2024年第4期105卷 841-854页

作者： Bashista, Prateek Mishra, Anurag Kumar, Bhavnesh Tyagi, Arjun Department of Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi India Department of Electrical Engineering Faculty of Technology University of Delhi Delhi India

One of the most significant and difficult challenges in solar systems is determining the maximum power point. This process becomes more difficult when the array of solar modules is subjected to non-uniform shade. A unique hybrid maximum power point tracking (MPPT) approach is presented in this research. The suggested approach, cuckoo search–perturb observe, is created by combining the traditional perturb & observe (P&O) and cuckoo search algorithms (CSPO). A hybrid algorithm has been developed to capitalize on the benefits of both algorithms while overcoming their respective disadvantages. The proposed algorithm attempts to incorporate the most prominent aspects of both algorithms while also attempting to address the drawbacks of both algorithms and improving the accuracy of the new approach by resolving the issue of P&O getting stuck on local maxima during non-uniform irradiance and reducing the resource-intensive approach of cuckoo search by limiting its number of iterations. Furthermore, the suggested approach locates the maximum power point using just voltage sensors, decreasing sensor requirements. The simulation findings for maximum power point tracking performance are also presented. © The Institution of Engineers (India) 2024.

关键词： Optimization

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IoT-Based Smart Vaporizer 9th

IoT-Based Smart Vaporizer

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9th International and 49th National Conference on Fluid Mechanics and Fluid Power, FMFP 2022

作者： Jain, Samyak Gaydhane, Minal Saraf, Rutuj Koli, Omkar Mhaske, Gayatri Mhetre, Manisha Department of Instrumentation and Control Engineering VIT Pune Pune411037 India

ISBN: (纸本)9789819957545

Smart vaporizer is designed to get good inhalation in this pandemic era. As per our daily life, cough and nozzle dryness are became part of habits. For nozzle clearance, we need a vaporizer;so, the basic aim of this project is to provide proper inhalation to us, and automation of this vaporizer makes us conveniently acquire this. Some conventional vaporizers are already present in the market, but the problem with those is like sometimes the steam coming out from those is hot enough that make our skin burn. Also, if the water level of liquid present in the container gets below the required level, then it will stop automatically. Many of them normally cause modest symptoms in the upper respiratory tract when infected. The lower respiratory tract can be infected by these coronaviruses, which can result in deadly pneumonia. This will typically cause the infection to go. Other times, though, severe pulmonary and systemic pathology resulting in ARDS and respiratory failure is the result of immune response dysfunctions. Treatment must resemble breathing in alcohol vapour through the nose, oxygen-driven inhalation of alcohol vapour. The advanced feature can be added to a conventional vaporizer, and we can get the required relief through the vaporizer without getting any interruption. Also, we learned some new techniques to make better human life, and, in this way, we are stepping up to our main aim as an engineer. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Water levels

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Classification of Sonic Log using Multiresolution Features 5

Classification of Sonic Log using Multiresolution Features

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5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Patankar, Sanika Hursad, Akash Ambekar, Harsh Ijmulwar, Jatin Donge, Aditya Vishwakarma Institute of Technology Department of Instrumentation and Control Engineering Pune India

ISBN: (纸本)9798331504403

This research work proposes a novel approach to sonic log prediction in the oil and gas industry, emphasizing the importance of accurate DTC (Compressional Sonic Transit Time) and DTS (Shear Sonic Transit Time) values for reservoir characterization. The methodology combines machine learning and signal processing, specifically Wavelet transformation, to enhance prediction accuracy. The process involves dataset preprocessing, Wavelet transformation on seismic signals, feature extraction, and machine learning model training. Results demonstrate an impressive 89 percent accuracy, surpassing other algorithms. The dataset utilized is comprehensive and diverse, ensuring the model's robustness across various geological scenarios. The proposed approach significantly contributes to accurate wave velocity estimation, boosting confidence in reservoir characterization. Overall, the study offers a practical and effective solution for improving sonic log predictions, benefiting hydrocarbon exploration and decision-making in the petroleum industry. © 2024 IEEE.

关键词： Petroleum industry

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Flexible and Expandable RF Coil System with Soft Actuators for Deep Organ Imaging in MRI 9

Flexible and Expandable RF Coil System with Soft Actuators f...

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9th International Conference on Integrated Circuits, Design, and Verification, ICDV 2024

作者： Lee, Seonghyeon Jung, Woojun Yunhao, Ma Shin, Yubeen Hwang, Yongha Korea University Department of Control and Instrumentation Engineering Sejong Korea Republic of

ISBN: (纸本)9798350371864

This study presents a flexible and expandable RF coil system for magnetic resonance imaging (MRI) of deep organs, such as pituitary glands. To adjust the size of the coil, a 3D folding structure made of PDMS and soft actuators are utilized. Also, the deployable RF coil system featuring both flexibility and high conductivity is implemented using an RF coil composed of conductive polymers. A combination of stereolithography, 3D printing, and PDMS casting techniques was used to efficiently fabricate complex structures, and a system is implemented that allows coil control by soft actuators. Additionally, a remote tuning circuit was used to adjust the operating frequency of the RF coil. It is confirmed that although the operating frequency changes as the shape of the RF coil changes according to the folding structure, the operating frequency can be maintained constant by remote circuit adjustment. This technology allows for the insertion of RF coils for MRI by reducing their diameter during the process of placing them as close as possible to deep-seated organs. This presents the potential to effectively acquire MRI images of various body parts while maintaining patient comfort and improving image quality. © 2024 IEEE.

关键词： Stereolithography

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Development and Implementation of an Animal Intrusion Detection System Using Image and Audio Processing 14

Development and Implementation of an Animal Intrusion Detect...

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14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Anuvind, P.E. Abhishek, C.K. Shibili, Mohamed Rahila, C.K. Neethu, K. Nss College of Engineering Instrumentation and Control Engineering Kerala India

ISBN: (纸本)9798350335095

The presence of wild animals near populated areas is a significant problem that poses a threat to human lives and causes resource damage. Animals often venture into these areas in search of food, which can result in crop destruction or harm to other animals, and in some cases, even human casualties. To address this issue, a reliable and effective approach is presented in this paper, which utilizes computer vision to automatically detect wild animals. The proposed method employs the YOLO object detection model to identify the presence of wild animals using images and uses an audio model trained through deep learning algorithms to detect specific sounds produced by wild animals. Once an incursion is detected, an alert message is sent to the relevant authorities to take necessary action. © 2023 IEEE.

关键词： Animals

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Design and Implementation of River Cleaning Boat 14

Design and Implementation of River Cleaning Boat

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14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Deepak, T.P. Greeshma, K.V. Nidhin, P. Kavya, K. Neethu, K. Nss College of Engineering Instrumentation and Control Engineering Kerala India

ISBN: (纸本)9798350335095

Our water systems are becoming increasingly polluted, which poses a serious threat to both human and aquatic life. The hazardous waste present in the water can be fatal for aquatic animals that consume it. Furthermore, humans are also vulnerable to the consequences of this issue, as the contaminated water is employed for drinking and irrigation purposes. The utilization of such water in irrigation can result in the contamination of vegetables, leading to potential health issues. Ingesting this polluted water can cause respiratory diseases, as well as water-borne ailments like jaundice and skin disorders. The primary focus of this project revolves around tackling the accumulation of floating garbage on the water's surface, which comprises plastic waste, household refuse, aquatic vegetation, and more. © 2023 IEEE.

关键词： Water quality

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Design and Development of Automatic Lie Detector using Arduino 3

Design and Development of Automatic Lie Detector using Ardui...

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3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Iswarya Devi, R. Shibili, Mohamed Sreeshma, C.V. Prasad, V Vishnu Nikhilbinoy, C. Neethu, K. Nss College of Engineering Instrumentation and Control Engineering Kerala India

ISBN: (纸本)9781665462167

The detection of lies in the internet age continues to be a difficult problem for law enforcement and researchers. This paper proposes an Arduino-based technique for lie detection that relies on the psychosomatic interaction between lying and small physiological modifications. The three physiological variables used in this model are heart rate, skin resistance, and temperature. These variables differ depending on whether a person answers the questionnaire honestly or dishonestly. © 2023 IEEE.

关键词： Physiological models

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