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检索条件"机构=Dept. of Control Instrumentation and Robot Engineering"

共 517 条记录，以下是11-20 订阅

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Digital Retail Shop Services in Cyber-Physical Retail System: A Case Study of Food Business 3

Digital Retail Shop Services in Cyber-Physical Retail System...

引用

3rd International Symposium on instrumentation, control, Artificial Intelligence, and robotics, ICA-SYMP 2023

作者： Yensabai, Chavapol Ngoenthai, Waranyu Leangarun, Teema Koolpiruck, Diew King's Mongkut University of Technology Thonburi Dept. of Control Systems and Instrumentation Engineering Bangkok Thailand

ISBN: (纸本)9781665473538

Food demand is expected to grow substantially as a result of major factors such as population. It necessitates that food manufacturers streamline their supply chain to accommodate shorter product life cycles. To manage sustainable food solutions and successful supply chain management, cyber-physical systems at the supply chain level attempt to challenge the integration of data from suppliers, manufacturing, logistics, and retail. The implementation of Cyber-Physical Retail Systems (CPRS) was developed to sense and analyze dynamic market environments to modify sales and shop operation activities. The data were collected from several ERP modules and operational technology (OT) data. The shop CPS was managed using the OSIsoft-PI platform, which is based on service-oriented architecture (SOA) and then integrated into the Enterprise Cloud. The customer analytics service in CPRS was used as an example of a self-aware concept to notify the sales function and was implemented on the Azure platform. The results show that churn prediction in retail shops can be detected monthly for warning sales staff based on the customer object goal. The models that were used are RF, LR and GBC. The overall performance of GBC outperforms all measures with 78.05% accuracy. While the remaining were around 65%. © 2023 IEEE.

关键词： Cyber Physical System

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Disturbance Observer-Based Robust control of A Flexible Joint Manipulator in the Presence of Unknown Disturbance 13

Disturbance Observer-Based Robust Control of A Flexible Join...

引用

13th International Conference on Computing Communication and Networking Technologies, ICCCNT 2022

作者： Jadhav, Rina K. Jadhav, Avishkar College of Engineering Pune Dept. Instrumentation and Control Pune India

ISBN: (数字)9781665452625

ISBN: (纸本)9781665452625

This study proposed a State feedback controller (SFC) with a Disturbance observer (DO) for a flexible joint robotic arm under disturbances. The dynamic model of flexible joint robotic arms has vibrations. Due to this system response changes while the movement of a robotic arm, which results in the position of the tip of a link is not set in a proper place. since there is a need to control the vibration of a robotic arm. The design of a traditional controller is capable only of state estimation and evaluations of internal disturbance. Since there is a need for a robust controller and this is achieved by designing the SFC + DO. Which determines the state vector, uncertainties like modeling error, parameter variation, external disturbances, etc. The proposed approach proves closed-loop stability. Simulation results show the efficacy of SFC + DO in the performance of position tracking, estimating states, and uncertainties. © 2022 IEEE.

关键词： robotic arms

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Electrochemical Impedance Spectroscopy based Sensor System for Detection of Detergents in Cow Milk 3

Electrochemical Impedance Spectroscopy based Sensor System f...

引用

3rd International Conference for Emerging Technology, INCET 2022

作者： Ghodinde, Ketaki Chaskar, Uttam Supalkar, Lokesh College of Engineering Pune Dept. of Instrumentation and Control Pune India

ISBN: (纸本)9781665494991

People, irrespective of age, gender, and geographical location, consume milk in one or another form. Milk is considered as super food and immunity booster due to its ingredients. Adulteration of milk is mostly due to the gap between demand and supply. Water, urea, starch, detergents, formaldehyde, and hydrogen peroxides are commonly used adulterants. Detergent is added to pure milk to reduce microbial growth so that to increase its shelf life. Detergent causes health problems like indigestion, stomach ulcers, and imbalance in the absorption of organic matters in humans. The work presented in this paper focuses on the detection of detergents in cow milk with Electrochemical Impedance Spectroscopy (EIS). A designed EIS sensor setup, with an Impedance analyzer board and Phase shift to voltage converter circuitry are employed to assess the impedance (components like magnitude, phase, or real and imaginary values) of the milk. The impedance of the electrolyte which is milk changes with the addition of detergent. The ionic nature of the detergent is responsible for changes in capacitance and in turn impedance of the sensor. The Sensor is responsive for variation of detergent 0% to 10% in 100ml of milk. The time for detection is around 35 seconds. As the impedance also depends on the frequency, its effect on the impedance is also observed. The presented work proves the EIS method rapid and low cost for detection of detergent in cow milk. © 2022 IEEE.

关键词： Electrochemical impedance spectroscopy

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Design a Robust controller for BLDC speed control 6

Design a Robust Controller for BLDC speed control

引用

6th International Conference on Computing, Communication, control and Automation, ICCUBEA 2022

作者： Hanwate, Sandeep Ahuja, Archit Khare, Prathamesh College of Engineering Pune Dept. Instrumentation and Control Pune India

ISBN: (纸本)9781665484510

Brushless Direct Current (BLDC) motor is superior to carbon brushed DC motors, such as high efficiency, more speed range, less maintenance, longer life etc. This is because BLDC motor has electronic commutation and thus, does not have to overcome friction unlike the brushed DC motor. Thus, they find application in many areas such as Electric Vehicles and robotics. However, a disadvantage of BLDC motor is that it requires a controller for electronic commutation which can be expensive and also increases the complexity of the implementation. The BLDC motors which are controlled by classical controllers suffer from problems of parametric variation during commutation and torque ripple in the output. The project aims to design a Robust controller for BLDC motor speed control so as to improve the output of BLDC motor. © 2022 IEEE.

关键词： Sliding mode control

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controller Design For Respiratory Systems Used During The Covid-19 Pandemic

Controller Design For Respiratory Systems Used During The Co...

引用

2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022

作者： Wadhwa, Yuganshu Rani, Asha Dept. of Instrumentation and Control Engineering New Delhi110078 India

ISBN: (数字)9781665497817

ISBN: (纸本)9781665497817

During pandemics, Intensive care units (ICUs) play a major role in providing necessary medical treatment to the patients and stabilizing dire situations. Mechanical ventilation systems are an integral part of ICUs in every medical facility. A Mechanical Ventilation system must provide accurate and fast tracking of a pre-set pressure profile. Therefore various controller designs are tested and analyzed in the presented paper for a blower-hose-patient mechanical ventilation system. The basic framework for the control problem, and necessary mathematical and simulation background is presented along with a comparative analysis of the designed control schemes. An attempt is also made to find an optimal controller design providing the desired system output with minimal trade-offs. © 2022 IEEE.

关键词： Ventilation

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Prediction of COVID-19 & Pneumonia using Machine Learning & Deep Learning Model 2

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

引用

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

作者： Mhatre, Prajakta Bhole, Kalyani Dept. of Instrumentation and Control College of Engineering Pune Pune411005 India

ISBN: (纸本)9781728168852

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 %. © 2022 IEEE.

关键词： COVID-19

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Prediction of Drug Events using Machine Learning 4

Prediction of Drug Events using Machine Learning

引用

4th International Conference on Advances in Computing, Communication control and Networking, ICAC3N 2022

作者： Dhandore, Ashwini Mhatre, Prajakta Bhole, Kalyani College of Engineering Pune Dept. of Instrumentation and Control Pune411005 India

ISBN: (纸本)9781665474368

Monitoring vital body parameter during surgical intervention is crucial. Sevoflurane (anesthesia) inhalation produces unconsciousness by weakening the signal pathways in the brain. The drug events related to anesthetic infusion are studied using data from 32 patients (body parameters) who underwent surgery. Heart rate, pulse, and other physiological parameters such as SpO2, systolic blood pressure, diastolic blood pressure, mean blood pressure etO2, inO2, etCO2, and imCO2 also *** study of drug concentrations in tissue as a result of the time and dosing frequency is evaluated by Pharmacokinetics, and its effect on body parameters was studied by *** the data was unlabeled, Machine Learning (ML) regression techniques were employed. Six ML models are used to predict the best fit model: Linear Regression, Support Vector Regression, Bayesian Ridge, Decision Tree Regressor, Gaussian Process Regressor, and XGBoost. The RMSE and MAE results achieved for this models are as follows: 12.19 & 5.762, 0.6038 & 0.5401, 1.125 & 0.951, 0.8113 & 0.7216, 0.7232 & 0.6576, and 0.6028 & 0.54. Amongst which, the XGBoost model is the most efficient because it produces the least errors. As its RMSE and MAE values were relatively low, the best fitted model XGBoost predicted that SpO2 is the most important body parameter. © 2022 IEEE.

关键词： Pharmacokinetics

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Design of On-board Power Supply for Tether Drone Applications 11

Design of On-board Power Supply for Tether Drone Application...

引用

11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Kim, Taewan Kim, Jinri Chung, Se-Kyo Gyeongsang National University Graduate School Dept. of Electrical & Electronic Engineering Jinju Korea Republic of Gyeongsang National University Dept. of Control & Instrumentation Engineering Jinju Korea Republic of

ISBN: (纸本)9788957083505

This paper presents the design of an on-board power supply for the tether drone system used in commercial and military applications. The power supply is crucial for delivering DC power to the propulsion and control systems of the tethered drone. This paper proposes an interleaved LLC resonant converter as the main topology and presents the design and implementation of the converter and control circuits. The integrated magnetic design of the transformer and inductor is also proposed to improve the power density of the converter. The proposed techniques were applied to a 1.6kW converter with input/output voltages of 400V/50V, and experimental results are provided to verify the design of the proposed scheme. © 2023 The Korean Institute of Power Electronics.

关键词： Military applications

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Mathematical Modeling and Regulation of the High Step-up DC-DC Boost converter 2

Mathematical Modeling and Regulation of the High Step-up DC-...

引用

2nd Asian Conference on Innovation in Technology, ASIANCON 2022

作者： Kanse, Sudarshan G. Malge, Sangmesh V. Rathod, Ajay A. Patil, Sanjaykumar L. College of Engineering Pune Dept. Instrumentation and Control Pune India College of Engineering Pune Dept. Electrical Engineering Pune India

ISBN: (数字)9781665468510

ISBN: (纸本)9781665468510

In voltage regulation applications, a robust controller is necessary to keep the output voltage of the DC-DC converter at the desired level. In order to develop a reliable controller, a precise mathematical model of converters is required. Using a large signal state space averaging technique, a high step-up DC-DC converter (HSDC) working in continuous conduction mode is modeled and studied. The validation of the developed model is carried out by comparing its dynamic and steady-state responses with those of the circuit model in MATLAB/Simulink. The adaptive sliding mode controller is then designed based on a developed mathematical model to control the output voltage of an HSDC in the presence of external disturbances such as output load and input supply voltage variations. The simulation results for open-loop as well as close-loop conclude that the developed mathematical model is accurate and can be used to design any new controllers. © 2022 IEEE.

关键词： controllers

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Mathematical Modelling and controller Design for Single Switch Two-Stage Cascade DC-DC Boost Converter 2

Mathematical Modelling and Controller Design for Single Swit...

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2nd Asian Conference on Innovation in Technology, ASIANCON 2022

作者： Rathod, Ajay A. Malge, Sangmesh V. Kanse, Sudarshan G. Dambhare, Sanjay S. Patil, Sanjaykumar L. College of Engineering Pune Dept. Electrical Engineering Pune India College of Engineering Pune Dept. Instrumentation and Control Pune India

ISBN: (数字)9781665468510

ISBN: (纸本)9781665468510

This paper addresses a unique approach for designing and modeling the single switch two-stage cascaded boost converter. Detailed modeling, simulation and study, and a robust control strategy are represented for cascaded boost type converter operating in continuous conduction mode (CCM). MATLAB simulation is used to practice the CCM operation of the converter in order to verify the design and modeling at an early stage. This work, highlights mainly on the mathematical modeling of the converter with the control strategy for single switch two-stage cascaded boost converter and improves the transient response under load, line, and circuit parameter variations. © 2022 IEEE.

关键词： Boost converter

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