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3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021

作者： Pattnaik, Biswamoy Dey, Sreya Pandian, B. Jaganatha School of Electrical Engineering VIT Dept. of Instrumentation Tamilnadu Vellore India School of Electrical Engineering VIT Dept. of Control and Automation Tamilnadu Vellore India

ISBN: (纸本)9781665426916

The existing and growing trending technology in the industry is the smart home automation system, which simplifies and streamlines life. IoT-enabled home automation provides consumers with smooth leverage over household equipment, allowing for greater efficiency. This paper describes a prototype of a multi-featured home automation system consisting of a textual chatbot based on Natural Language Processing to monitor and display household conditions and control devices. It also includes a machine learning algorithm to predict the household power consumption for a day. The system is made secure with a face recognition system that only gives access to users registered in the system. © 2021 IEEE.

关键词： Learning algorithms

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Fuzzy Logic Based Stereo Matching Method for Images with Variation in Exposure Conditions

Fuzzy Logic Based Stereo Matching Method for Images with Var...

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2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and robotics, DISCOVER 2021

作者： Shetty, Akhil Appu Hegde, Navya Thirumaleshwar Vaz, Aldrin Claytus Manipal Institute of Technology Manipal Academy of Higher Education Dept. of Instrumentation and Control Engineering Manipal India

ISBN: (纸本)9781665412445

Disparity maps generated through stereo matching algorithms possess the capacity to provide dept. information, when at least two or more images of a scene taken from different viewpoints, are presented. This is a computationally complex task and the presence of radiometric differences, such as exposure variations, in the images only further complicates the stereo matching problem. The authors attempt to overcome this problem and try to extract dense disparity maps from a pair of stereo images using a combination of different data cost metrics followed by a fuzzy disparity selector. The images are preprocessed into small patches of pixels, such that pixels in each patch have similar intensities, before being subjected to the stereo matching algorithm. The effect of the number of segments and the tuning parameter 'α', on the various exposure conditions is studied and the performance is compared with other methods that try to tackle the problem of stereo matching under similar conditions. © 2021 IEEE.

关键词： Fuzzy logic

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A Pilot study for Depression Detection during COVID-19 using Stroop Test 8

A Pilot study for Depression Detection during COVID-19 using...

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8th International Conference on Signal Processing and Integrated Networks, SPIN 2021

作者： Prabha, Anju Yadav, Jyoti Rani, Asha Signh, Vijander Dept. Instrumentation and Control Engineering Netaji Subhas Institute of Technology University of Delhi New Delhi India

ISBN: (纸本)9781665435642

The Corona virus disease 2019 (COVID-19) pandemic has caused substantial increase in distress among people all over the world. This work aims to study depression during the COVID-19 among the educational sector and to develop a novel stroop test based depression detection system by analyzing the response time (RT) for normal stroop test (ST) and emotional stroop test (EST). The data for this work is collected from 44 participants. It is found that 66% of the participants have depression. The analysis of RT for ST and EST before and after showing video stimulus, indicates that there is a significant difference in change of response time (dRT) for both normal and depressive cases. Further this feature along with the physiological parameters (PhyP) of the participants are given to support vector machine (SVM) and extreme gradient boost (XGBoost) classifier to develop depression detection systems. The XGBoost provides highest accuracy of 85.71% with PhyP + ST dRT data and an accuracy of 71.43% with PhyP + EST dRT data. Therefore, the proposed systems may serve as a screening tool for depression during this pandemic situation. © 2021 IEEE

关键词： Support vector machines

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The Measurement Algorithm of the Center of Pressure Based on the Tactile Sensor

The Measurement Algorithm of the Center of Pressure Based on...

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Intelligent Systems, International Workshop on

作者： Jaehyeon Baik Sejun Park Yunho Choi Kyung-Joong Kim Hosu Lee Dept. of Control and Robot Engineering Gyeongsang National University Jinju Korea School of Integrated Technology Gwangju Institute of Science and Technology Gwangju Korea

ISBN: (数字)9798350353303

ISBN: (纸本)9798350353310

Stroke survivors often experience balance disorders, significantly increasing the risk of falls. Accurate COP (Center of Pressure) measurements are essential for evaluating balance and rehabilitation outcomes. To measure COP, force plates are expensive and not user-friendly. Another system for measuring COP is Insole Pressure Sensors (IPS). However, IPS has limitations in accuracy and usability. In this paper, we suggested a cost-effective COP measurement algorithm based on high-resolution Tactile sensors which has electrodes aligned at right angles on each side of a commercial piezoresistive film, and can capture human footprints in great detail. Furthermore, a static experiment was conducted with weight plates to evaluate the COP measurement capability of the system. In future works, we will focus on validating the system's durability, usability, and integration into rehabilitation programs, as well as comparing dynamic COP measurements with force plate data.

关键词： Weight measurement Force measurement Accuracy Force Dynamics Tactile sensors Pressure measurement IP networks Reliability Usability

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A Systematic approach for design of Patient Specific Surgical Guide (PSSG) for Oral Maxillofacial (OMF) Surgery using 3D Imaging 2

A Systematic approach for design of Patient Specific Surgica...

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2nd International Conference on Signal and Information Processing, IConSIP 2022

作者： Mhatre, Prajakta Bhole, Kalyani Yeolekar, Priyank Dept. of Instrumentation and Control College of Engineering Pune Pune411005 India Head-Research and Innovation Anatomiz3D MedTech Pvt. Ltd Mumbai400072 India

ISBN: (纸本)9781728168852

A Patient-Specific Surgical Guide (PSSG) for orthognathic surgery is a novel approach. Only a few papers on the Patient-Specific Surgical Guide (PSSG) for Oral Maxillofacial (OMF), which focuses on implant design have been published. We describe a systematic approach for designing Patient-Specific Surgical Guides (PSSG) for Oral and Maxillofacial Surgery (OMF) using 3D Imaging. DICOM data of two patients with mandible tumor have been used. The procedure includes the following steps: a) CT segmentation;b) Reverse engineering;c) Product design;d) 3D printing with an FDM/SLA printer;and e) post-processing. We used a patient's CT clinical data in this investigation. Statistical analysis was done by comparing dimensional changes before & after surgery. Deviation obtained for case1 axial, coronal & sagittal dimensions obtained are: 0.1mm, 0.72mm & 0.91mm & for case2 are 0.35mm, 0.7mm & 0.7mm respectively, which are very less as compared to existing studies. © 2022 IEEE.

关键词： Product design

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Cable propagation constant estimation and insulation performance evaluation method based on reflectometry method

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Transactions of the Korean Institute of Electrical Engineers 2023年第4期72卷 566-569页

作者： Kwon, Gu-Young Chang, SeungJin Lee, Chun-Kwon Department of Smart Safety Engineering Dongguk University Korea Dept. of Electrical Engineers Hanbat University Korea Department of Control and Instrumentation Engineering Pukyong National University Korea

In this paper, propagation constant estimation techniques in the frequency domain for monitoring the insulation status of the cable have been proposed. The attenuation constant and phase constant are calculated by comparing the energy and location of the incident signal applied to the cable and the reflected signal from the endpoint. The performance of the technique is verified by comparing the estimated propagation constant based on the reflectometry with the measured propagation constant. Copyright © The Korean Institute of Electrical Engineers.

关键词： Cables

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Prediction of COVID-19 & Pneumonia using Machine Learning & Deep Learning Model

Prediction of COVID-19 & Pneumonia using Machine Learning & ...

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International Conference on Signal and Information Processing (IConSIP)

作者： Prajakta Mhatre Kalyani Bhole Dept. of Instrumentation and Control College of Engineering Pune Pune Pune India

ISBN: (纸本)9781728168869

As a result of the COVID-19 pandemic, medical examinations (RTPCR, X-ray, CT-Scan, etc.) may be required to make a medical decision. COVID-19's SARS-CoV-2 virus infects and spreads in the lungs, which can be easily recognized by chest X-rays or CT scans. However, along with COVID-19 instances, cases of another respiratory ailment known as Pneumonia began to rise. As a result, clinicians are having difficulty distinguishing between COVID-19 and Pneumonia. So, more tests were required to identify the condition. After a few days, the COVID-19 SARS-CoV-2 virus multiplied in the lungs, causing pneumonia and COVID-19 named Novel Corona virus infected Pneumonia. We employ Machine Learning and Deep Learning models to predict diseases such as COVID-19 Positive, COVID-19 Negative, and Viral Pneumonia in this research. A dataset of data is used in a Machine Learning model. A dataset of 120 images was used in the Machine Learning model. By extracting eight statistical elements from an image texture, we calculated accuracy. Adaboost, Decision Tree & Naive Bayes have overall accuracy of 88.46%, 86.4% and 80%, respectively. When we compared the algorithms, Adaboost algorithm performs the best, with overall accuracy of 88.46%, sensitivity of 84.62%, specificity of 92.31%, F1-score of 88% and Kappa of 0.8277. VGG16 Architecture is used in CNN model for 838 images in Deep Learning model. The model's total accuracy is 99.17 %.

关键词： COVID-19 Deep learning Training Machine learning algorithms Sensitivity Pulmonary diseases Predictive models

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Loss Analysis of 3-level LLC Converter with Duty control 5

Loss Analysis of 3-level LLC Converter with Duty Control

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5th International Conference on Power engineering and Renewable Energy, ICPERE 2022

作者： Kim, Min-Jae Baek, Seung-Woo Kim, Hag-Wone Choi, Jae-Ho Kang, Jeong-Won Korea National University of Transportation Dept. of Electronic Engineering Chung-ju Korea Republic of Korea National University of Transportation Dept. of Control and Instrumentation Engineering Chung-ju Korea Republic of Chungbuk National University Dept. of Electrical Engineering Chung-ju Korea Republic of Graduate School of Transportation Korea National University of Transportation Chung-ju Korea Republic of

ISBN: (纸本)9781665455480

In this paper, loss models of a Si IGBT system with a switching frequency of 10kHz and a SiC MOSFET system with a switching frequency of 100kHz are derived in a 3-level LLC converter with duty control, and the results are analyzed. Switching and conduction losses of power semiconductor devices are modeled, and losses are analyzed in the proposed circuit system. The loss model mathematically derived through analysis is compared and analyzed with the Psim simulation, and its validity is verified through similarity verification. In addition, it proves the possibility of miniaturization and weight reduction of the auxiliary power supply for railroad vehicles from the derived results. © 2022 IEEE.

关键词： Silicon carbide

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Design of robust controller for 2-DOF flexible link robot manipulator 5

Design of robust controller for 2-DOF flexible link robot ma...

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5th International Conference on Intelligent Computing and control Systems, ICICCS 2021

作者： Pimpalgaonkar, Renukadas Khare, Prathamesh Chikhalthankar, Anagha Hanwate, Sandeep Jaybhaye, M.D. College of Engineering Pune Dept. Instrumentation and Control Pune India College of Engineering Pune Dept. Mfg. Engg. and Industrial Magmt. Pune India

ISBN: (纸本)9781665412728

This paper proposes a practical and efficient control scheme for serial link flexible robot arm using the sliding mode control, reaching phase elimination and uncertainty disturbance estimation techniques to ensure robustness against any sort of uncertainty, disturbance or variation in parameter that may arise while in operation. The controllers for SMC, Reaching phase elimination and Uncertainty disturbance estimator are designed and implemented in MATLAB. The control algorithm performs as per the requirements and constraints placed on the system to drive the error in the states to zero with minimum expenditure of actuator dynamics and maintain the states once at the level. The system uses multiple techniques in conjunction with each other to guarantee optimal performance of the system for multiple scenarios. Further, the dynamic sliding and Uncertainty Disturbance Estimator techniques are being implemented for the 2-DOF flexible link robot arm for the first time © 2021 IEEE.

关键词： Sliding mode control

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Delayed dynamic-feedback controller design for multi-frequency vibration suppression

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IFAC-PapersOnLine 2024年第27期58卷 196-201页

作者： Adrian Saldanha Adam Peichl Wim Michiels Tomas Vyhlidal Department of Computer Science KU Leuven Celestijnenlaan 200A 3001 Leuven Belgium Dept. Instrumentation and Control Engineering Faculty of Mechanical Engineering and Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague 6 Czechia

We present a methodology for designing a dynamic controller with delayed output feedback for achieving non-collocated vibration suppression with a focus on the multi-frequency case. To synthesize the delay-based controller, we first remodel the system of equations as a delay-differential algebraic equation (DDAE) in such a way that existing tools for design of a static output feedback controller can be easily adapted. The problem of achieving non-collocated vibration suppression with sufficient damping is formulated as a constrained optimization problem of minimizing the spectral abscissa in the presence of zero-location constraints, with the constraints exhibiting polynomial dependence on its parameters. We transform the problem into an unconstrained one using elimination, following which we solve the resulting non-convex, non-smooth optimization problem.

关键词： vibration suppression time-delay DDAE

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